# NATIONAL WETLAND CONDITION

ASSESSMENT 2011
A Collaborative Survey of the Nation’s Wetlands

Draft for Public Review and Comment

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# N ATIONAL 

# W ETLAND 

# C ONDITION 

# A SSESSMENT 

# 2011 :

A Collaborative Survey of the Nation’s Wetlands



# D raft f or P ublic Review and Comment

U.S. Environmental Protection Agency Office of Wetlands, Oceans and Watersheds
Office of Research and Development Washington, DC 20460

EPA

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Octo ber 2015

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National Wetland Condition Assessment 20 11 

## Acknowledgements

The U.S. Environmental Protection Agency ( EPA ) Office of Water (OW) and Office of Research and Development (ORD) would like to thank the many people who contributed to this project. Without the collaborative efforts and sup port by state and tribal environmental agencies, federal agencies, universities, and other organizations, this groundbreaking assessment of wetlands would not have been possible. In addition, the survey could not have been done without the innumerable fiel d biologists, soil scientists, taxonomists, statisticians, and data analysts, as well as program administrators, EPA regional coordinators, project managers, quality control officers, and reviewers. To the many hundreds of participants, EPA expresses its p rofound thanks and gratitude.

State and Tribal Agency Partner s

Alaska Department of Environmental Conservation Alabama Department of Environmental Management Arizona Department of Environmental Quality
California State Water Resources Control Board Colorado Natural Heritage Program Delaware Department of Natural Resources and
Environmental Control

F or t Peck Tribe Georgia Department of Natural Resources Georgia Environmental Protection Division Florida Department of Environmental Protection Idaho Department of Environmental Quality Illinois Natural History Survey Iowa Department of Natural Resources
Kansas Alliance for Wetlands and Strea ms Kansas Department of Health and the Environment
Kansas Water Office Kentucky Division of Water Leech Lake Band of Ojibwe, Division of Resource Management Maine Department of Environmental Protection Maryland Department of the Environment
Massachusetts Bays National Estuary Program Massachusetts Department of Environmental
Protection Michigan Department of Environmental Quality Minnesota Pollution Control Agency Missouri Department of Natural Resources Montana Natural Heritage Program Navajo E nvironmenta l P rotection A gency Nebraska Game and Parks Commission New Hampshire Department of Environment al
Services New Jersey Natural Heritage Program New Mexico Environment Department New Mexico Natural Heritage Program New York Natural Heritage Program
North Carolina Department of Environment and
Natural Resources North Dakota Department of Health
Ohio E nvironmental P rotection A gency Oklahoma Conservation Commission Oregon Department of Environmental Quality Oregon Division of State Lands South Carolina Depart ment of Health and
Environment Control Utah Division of Water Quality Utah Geological Survey Vermont Department of Environmental
Conservation Virginia Department of Environmental Quality Washington State Department of Ecology West Virginia Department of En vironment
Protection Wind River Environmental Quality Commission
Wisconsin Department of Natural Resource

Federal Pa rtners

U.S. Army Corps of Engineers U.S. Department of Agriculture, Forest Service U.S. Department of Ag riculture, Natural Resource
Conservation Service U.S. Department of Interior, Fish and Wildlife Service U.S. Department of Interior, National Park Service U.S. EPA Office of Research and Development
U.S. EPA Office of Water U.S. EPA Regions 1

- 10
U.S. Geological SurveyOctober 2015

ii

National Wetland Condition Assessment 20 11 Other Partners and Collaborators

Battelle Memorial Institute BioLogics California State University System

- Moss Landing
Marine Laborator ies Center for Plains Conservation and Biodiversity Dynamac East Carolina University EcoAnalysts

, Inc Great Lakes Environmental Center Kenyon College Michigan State University Midwestern Biodiversity Institute
Nature Serve New England In terstate Water Pollution Control
C ommission North Carolina State University North Dakota State University Oregon State University Partnership for the Delaware Estuary Pennsylvania State University
San Francisco Estuarine Institute Southern California Coasta l Water Research Project Tetra Tech, Inc. University of Central Missouri University of Florida University of Houston

- Clear Lake University of Nebraska

- Lincoln Virginia Institute of Marine Sciences Virginia Tech University
Wells National Estuarine Reserve

Tom Dahl, Bill Wilen, Mitch Bergeson, and Rusty Griffin from the U.S. Fish and Wildlife Service’s National Wetland Inventory Program provided invaluable technical assistance on national wetland mapping and extent data and generated wetland maps of the NWCA sites.

Lenore Vasilas, Phil King, Steve Monteith, Chris Smith, Larry West, Leander Brown, Rich Ferguson, and Edward Griffin from the USDA Natural Resource Conservation Service Soil Science Division provided invaluable technical support an d advice developing field protocols, training field crews, reviewing field data and processing soil samples for NWCA.

The following people played a pivotal role and lent their expertise to the data anal ysis in this project : Mary Kentula, Teresa Magee, Kar en Blocksom, Tony Olsen, Steve Paulsen, Tom Kinkaid, Marc Weber, Dave Peck, Anett Trebitz, Brian Hill, and Janet Nestlerode from EPA Office of Research and Development; Amanda Nahlik and Siobhan Fennessy from Kenyon College; Alan Herlihy from Oregon
State University; Josh Collins from San Francisco Estuary Institute; Gregg Lomnicky from Dynamac Corporation; Marlys Cappaert from SRA International, In c; and Keith Loftin from U.S. Geological Survey.

The report was written by a team of contributors that include d Mary Kentula

, Teresa Magee , and Steve Paulsen from EPA Office of Research and Development, Amanda Nahlik from Kenyon College; Alan Herlihy from Oregon State University; Gregg Lomnicky from Dynamac; Gregg Serenbetz, Laura Nollen, Sue Bartow, Sarah Lehmann , Regina Poeske, Chris Faulkner, Mike McDavit, and Susan Holdsworth from EPA Office of Water; and Annie Rossi, an ORISE Research Participant on the N ational W etland C ondition

A ssessment (NWCA)

.

W e would also like to acknowledge the contributions of several EPA interns and managers who are no longer on the NWCA project team but whose support and leadership were instrumental in the planning and field implementation of NWCA. Mike Scozzafava and Lynda Hall from EPA Office of Water led NWCA
efforts th r ough these stages and Elizabeth ( Riley ) Donovan, Leah Medley, Natalie Allen, and Rachel Sullivan provided outstanding technical and project research as ORISE participants during their time on
NWCA

.Octo ber 2015 iii

National Wetland Condition Assessment 20 11 

## Table of Contents

Acknowledgements

................................ ................................ ................................ ............................ i

Table of Contents

................................ ................................ ................................ .............................. iii

Tables and Figures

................................ ................................ ................................ ............................. v
State and Partner Highlights

................................ ................................ ................................ ............. vii

Executive Summary

................................ ................................ ................................ ......................... viii

Key Findings

................................ ................................ ................................ ................................ ........... viii
Biological Condition

................................ ................................ ................................ ........................... viii
Indicators of Stress

................................ ................................ ................................ ............................... ix
Implications

................................ ................................ ................................ ................................ .............. ix
Chapter 1: Introduction

................................ ................................ ................................ ...................... 1

What are wetlands?

................................ ................................ ................................ ................................ .. 1
Why are wetlands important?

................................ ................................ ................................ .................. 2
Why do we need a national assessment of wetland condition?

................................ .............................. 6
How was the national assessment developed?

................................ ................................ ........................ 7
Chapter 2: Design of the National Wetland Condition Assessment

................................ .................... 11

Which wetlands are included in the NWCA?

................................ ................................ .......................... 11
How are the NWCA results presented?

................................ ................................ ................................ .. 13
How were the samp ling sites chosen and what do they represent?

................................ ...................... 14
How were wetlands sampled?

................................ ................................ ................................ ................ 17
What data were collected and why?

................................ ................................ ................................ ...... 21
How were the NWCA core data used to report on ecological condition and stress?

............................ 23
Evaluating Wetland Biological Condition

................................ ................................ ............................ 27
Evaluating Indicators of Stress

................................ ................................ ................................ ............ 31
Estimating the extent of wetland area for condition classes or stress

- level classes

.............................. 37
Other data collected as part of NWCA 2011 but not reported in national and regional results

............ 37
Water Chemistry

................................ ................................ ................................ ................................ . 37
Algae Species Data

................................ ................................ ................................ .............................. 38
Chapter 3: National Results

................................ ................................ ................................ .............. 42

Biological Condition Based on Vegetation MMI

................................ ................................ ..................... 43

Indicators of Stress

................................ ................................ ................................ ................................ .. 45
Physical

................................ ................................ ................................ ................................ ............... 45

Chemical

................................ ................................ ................................ ................................ .............. 47October 2015

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National Wetland Condition Assessment 20 11 Biological

................................ ................................ ................................ ................................ ............. 49
Ranking of Stre ssors

................................ ................................ ................................ ................................ 50

Relative Extent and Relative Risk

................................ ................................ ................................ ........ 50

Attributable Risk

................................ ................................ ................................ ................................ .. 51
Microcystin Presence and Risk

................................ ................................ ................................ ................ 52
Chapter 4: Ecoregion and Wetland Type Results

................................ ................................ ............... 57

Coastal Plains Ecoregion

................................ ................................ ................................ ......................... 59
Landscape setting of the ecoregion

................................ ................................ ................................ .... 59
Summary of findings

................................ ................................ ................................ ........................... 60
Eastern Mountains and Upper Midwe st

................................ ................................ ................................ . 65
Landscape setting of the ecoregion

................................ ................................ ................................ .... 65
Summary of findings

................................ ................................ ................................ ........................... 66

Interior Plains

................................ ................................ ................................ ................................ .......... 75
Landscape setting of the ecoregion

................................ ................................ ................................ .... 75
Summary of findings

................................ ................................ ................................ ........................... 76

West Ecoregion

................................ ................................ ................................ ................................ ....... 79
Landscape setting of the ecoregion

................................ ................................ ................................ .... 79
Summary of findings

................................ ................................ ................................ ........................... 80

Estuarine Wetlands

................................ ................................ ................................ ................................ . 83
Landscape setting for estuarine wetlands

................................ ................................ .......................... 83
Summary of findings

................................ ................................ ................................ ........................... 83
Chapter 5: Summary and Next Steps

................................ ................................ ................................ . 86

Summary of Major Fi ndings and Implications

................................ ................................ ........................ 86
Advancing Wetland Science

................................ ................................ ................................ .................... 87
Next Steps: Preparing for the 2016 Assessment

................................ ................................ ..................... 88

Glossar y of Terms

................................ ................................ ................................ ............................ 94

Sources and References

................................ ................................ ................................ ................... 99

List of Abbreviations and Acronyms

................................ ................................ ................................ 103Octo ber 2015 v

National Wetland Condition Assessment 20 11 

## Tables and Figure s

Table 2

- 1. FWS S&T Wetland Categories that comprise the NWCA Target Wetland Types.

..................... 12

Table 2

- 2. Number of probability sites sampled nationally and within each of the NWCA Aggregated

Ecoregions and acres of wetland area these sites represent.

................................ .................. 16

Table 2

- 3. Heavy metals included in the Heavy Metal Index as a chemical indicator of stress.

................ 33

Table 2

- 4. Soil phosphorus concentration thresholds as chemical indicators of stress.

............................ 34

Table 2

- 5. World Health Organization thresholds of risk associated with exposure to microcystin.

......... 34

Table 2

- 6. Summary of NWCA 2011 indicators of condition and stress and information on how

thresholds were set.

................................ ................................ ................................ ................. 36

Figure 1

- 1. Examples of wetlands commonly found across the U.S.

................................ ............................ 3

Figure 2

- 1. Nine Aggregat ed Ecoregions used in other NARS (map on left) further combined into the four

NWCA Aggregated Ecoregions (map on right).

................................ ................................ ........ 13

Figur e 2

- 2. NWCA Sample Sites.

................................ ................................ ................................ ................. 15

Figure 2

- 3. Standard NWCA assessment area and buffer sampling layout

................................ ................ 18

Figure 2

- 4. Core data types and relationships to how they are used to develop indicators of condition

and stress.

................................ ................................ ................................ ................................ . 24

Figure 2

- 5. Criteria for setting VMMI thresholds for good, fair, and poor condition classes based on

VMMI values observed for Least Disturbed (Reference) sites.

................................ ................ 28

Figure 3

- 1. Estimated extent of wetland biological condition by condition classes (good, fair, poor) based

on the VMMI.

................................ ................................ ................................ ............................ 44

Figure 3

- 2. Estimated extent of vegetation alteration in wetlands by stressor levels as indicated by

vegetation removal and vegetat ion replacement.

................................ ................................ ... 46

Figure 3

- 3. Estimated extent of hydrologic alteration in wetlands by stressor levels as indicated by

damming, ditching, hardening, and filling/erosion.

................................ ................................ . 47

Figure 3

- 4. Estimated extent of chemical indicators of stress in wetlands by stress or levels as indicated

by a Heavy Metal Index and soil phosphorus concentrations.

................................ ................. 48

Figure 3

- 5 . Estimated extent of biological stress in wetlands by stressor levels as indicated by the

Nonnative Plant Stressor Indicator.

................................ ................................ .......................... 49October 2015

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National Wetland Condition Assessment 20 11 Figure 3

- 6. National level estimates for relative extent of stressor indicators when stressor level is high,

relative risk associated with each stressor indicator, and attributable risk for each stressor indicator relative to wetland biological condition.

................................ ................................ ... 51

Figure 3

- 7. Estimated occurrence of microcystin in wetlands.

................................ ................................ ... 53

Figure 3

- 8. Estimated extent of recreational health risk from exposure to microcystin by risk category

(low, moderate, and high) based on WHO guidelines.

................................ ............................. 54

Figure 4

- 1. The NWCA Aggregated Ecoregions.

................................ ................................ .......................... 58

Figure 4

- 2. NWCA 2011 survey results for the wetlands (i.e., all target wetland types) across the Coastal

Plains.

................................ ................................ ................................ ................................ ........ 61

Figure 4

- 3. NWCA survey results for the inland herbaceous wetland type across the Coastal Plains.

...... 61

Figure 4

- 4. NWCA 2011 survey results for the inland woody wetland type across the Coastal Plains.

..... 62

Figure 4

- 5. NWCA 2011 survey results for the wetlands (i.e., all target wetland types) across the Eastern

Mountains and Upper Midwest.

................................ ................................ ............................... 67

Figure 4

- 6. NWCA 2011 survey results for the inland herbaceous wetland type across the Eastern

Mountains and Upper Midwest.

................................ ................................ ............................... 68

Figure 4

- 7. NWCA 2011 survey results for the inland woody wetland type across the Eastern Mountains

and Upper Midwest.

................................ ................................ ................................ ................. 68

Figure 4

- 8. NWCA 2011 survey results for the wetlands (i.e., all target wetland types) across the Interior

Plains.

................................ ................................ ................................ ................................ ........ 77

Figure 4

- 9. NWCA 2011 survey results for the inland herbaceous wetland type across the Interior Plains.

................................ ................................ ................................ ................................ .................. 78

Figure 4

- 10. NWCA 2011 survey results for the inland woody wetland type across the Interior Plains.

... 78

Figure 4

- 11. NWCA 2011 survey results for the wetlands (i.e., all target wetland types) across the West.

................................ ................................ ................................ ................................ .................. 81

Figure 4

- 12. NWCA 2011 survey results for the inland herbaceous wetland type across the West.

......... 82

Figure 4

- 13. NWCA 2011 survey results for the inl and woody wetland type across the West.

................. 82

Figure 4

- 14. NWCA 2011 survey results for estuarine herbaceous wetland types across all coastal areas

of the conterminous U.S.

................................ ................................ ................................ .......... 84

Figure 4

- 15. NWCA 2011 survey results for estuarine woody wetland types across all coastal areas of the

conterminous U.S.

................................ ................................ ................................ .................... 85Octo ber 2015 vii

National Wetland Condition Assessment 20 11 

## State and Partner Highlights

Gulf of Mexico Coastal Wetl ands Pilot Project: Setting the Stage for the NWCA

................................ ........ 9

California’s Intensification Project: Learning More about California’s Wetl ands and Refining Monitoring

Techniques

................................ ................................ ................................ ................................ 19

Wisconsin’s Intensification Study: A Floristic Characterization of Wetlands in Eastern Wisconsin

........... 29

Nebraska’s Intensification Project: Impacts of Land Use and Management on Wetland Condition

......... 39

Alaska’s Arctic Wetlands Assessment

................................ ................................ ................................ ......... 55

Southeast Wetlands Monitoring and Assessment Intensification Study: North Carolina, South Carolina,

Alabama, and Georgia

................................ ................................ ................................ .............. 63

Establishing a Baseline for Ohio’s Valuable Wetland Resources: A National Wetland Condition

Assessment Intensification

................................ ................................ ................................ ....... 69

Minnesota’s Intensification Project: NWCA Intensification Survey Helps Reveal Important Regional

Variation in Minnesota

................................ ................................ ................................ ............. 72

The U.S. Fish and Wildlife Service’s Wetlands Status and Trends Program

................................ ............... 90October 2015

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National Wetland Condition Assessment 20 11 

## Executive Summary

T he National Wetland Condition Assessment (NWCA) 2011: A Collaborative Survey of the Nation’s Wetlands presents the result s of the first national evaluation o f the ecologic al condition of the nation’s wetlands. The NWCA is part of a broader effort by EPA and state , tribal, and federal partners to conduct national scale assessments characterizing the ecologic al condition of the nat ion’s waters. Under the National Aquatic Resource Survey (NARS) program, studies have been completed for wadeable streams (2004), lakes (2007), rivers and streams (2008

- 2009), and coastal waters (2010). The issuance of the
NWCA 2011 report marks the comple tion of the first full

- cycle of assessments by EPA and its partners under the NARS program.

Wetlands are a vital component of our nation’s waters , providing a wide array of benefits that
contribute to the overall health and integrity of aquatic ecosystems and people’s well

- being

. Wetlands help improve water quality by filtering pollutants, protect ing downstream or coastal areas from floods and erosion, serv ing as homes or sources of food for a diverse and abundant range of species including humans, and offe r ing places f o r recreat ion and scientific and cultural exploration

. Though we are aware of the important benefits wetlands provide, we know very little about the overall ecological condition of these systems nationally

. The NWCA begins to address some of t he gaps in our understanding of
wetland health by providing information about the ecological condition of the nation’s wetlands and stressors most commonly associated with poor condition.

During the spring and summer of 2011 , more than 50 field crews sampled 1,179 wetland sites across the country. Each crew used standardized field protocols to sample vegetation, soils, hydrology, algae, water chemistry, and potential stressors at each site

. Most s ites were selected using a ra ndom sampling technique that ensures that the results of the survey reflect the range of wetlands in the target population across the U.S. Data collected at t hese randomly selected sites are used to produce national and regional estimates of wetland condit ion.



## Key Findings

Biological Condition

Vegetation is a major component of the biodiversity and structure found in wetlands

, provides important habitat and food sources for birds, fish, and other wildlife, and both responds to and
influences other physical features (e.g.

, soils, hydrology) and chemical processes (e.g.

, nutrient cycling) in wetland systems

. Thus, vegetation can reflect and integrate different components of wetland ecosystem integrity and serve as an effective indicator of wetland condition. N WCA 2011 uses vegetation to assess the condition of wetlands across the conterminous U.S. and in four major ecoregions

. Vegetation data collected at each sampling site was used to develop a national Vegetation
Multi

- M etric Index (VMMI) , which indicates “good,” “fair,” or “poor” condition based on properties of vegetation that vary in relation to human

- mediated disturbance . For NWCA 2011

, “good” condition generally reflects diversity and abundance levels for species and plant traits (e.g., native species, tolerance for disturbance) appropriate to ecoregion and wetland type

.
NWCA 2011 found that na tionally

, 48% of the wetland area is in good condition

, 20% is in fair condition and the remaining 32% of the area is in poor condition. Of the four major ecoregion

- based units reported on by NWCA, the West has the lowest percentage of wetland area , 21%, in good condition. TheExecutive Summary

Octo ber 2015 ix

National Wetland Condition Assessment 20 11 Coastal Plains, Eastern Mountains and Upper Midwest, and Interior Plains have a range of 44% to 52%
wetland area in good condition

. 

### Indicators of Stress

Wetland condition can be influenced by physical, chemical, and biological factors that impact (i.e., cause stress to) a wetland ’s physical structure or ecological processes. NWCA 2011 developed and measure d a number of physical, chemical, and biological indicators of stress that reflect potential negative impact to wetland condition. At each site, a ll of the se indicators were evaluated in a core assessment area and
within a surrounding 1 00 meter radius buffe r

. Indicators of stress at each wetland site are assigned to “low,” “moderate,” or “high ” stress or level s depending on criteria established for each indicator.

Physical

Six physical indicators of stress are assessed for NWCA using field

- based observational data collected at
each site. Th ese indicators represent physical alterations to vegetation (removal and replacement) or hydrologic alterations (damming, ditching, surface hardening, and filling/erosion) observed at the sampling site. Vegetation removal, su rface hardening (e.g., pavement, soil compaction) , and ditching are found to be the most widespread stressors nationally. Vegetation removal and hardening stress or s are high for 27% of wetland area, while the ditching stress or is high for 23% of wetland area.

Chemical

Two chemical indicators of stress are assessed for NWCA using soil data collected at each site : a Heavy Metal Index and soil phosphorus concentration

. Stress or levels for both of these indicators are low for the majority of wetland area nati onally. However, s tressor levels for the H eavy M etal Index are moderate for 4 7% of wetland area in the West and 31% of wetland area in the Eastern Mountains and Upper Midwest. S tressor levels for soil phosphorus are high for 13% of wetland area in the East ern Mountains and Upper Midwest.

NWCA conducted the first national study of algal toxins in wetlands. Microcystin, a chemical toxin that can harm people, pets, and wildlife, was detected in 12% of wetland area nationally. However, b ased on recreational exp osure risk levels established by the World Health Organization, very little wetland area (<1%) poses eithe r moderate or high risk levels.

Biological

A Nonnative Plant Stressor Indicator developed for NWCA is used to assess the level of biological stress
in wetlands. Nationally, 61% of wetland area has low stress or levels for nonnative plants. These results

are not uniform across the country, however. T he Eastern Mountains and Upper Midwest and the
Coastal Plains ha ve similar percentages of low stress or leve ls , 74% and 66% of wetland area

, respectively , for the nonnative plant stressor indicator. In contrast

, the West and Interior Plains ha ve only 14 % and 27% of wetland area, respectively, with low stressor levels.



## Implications

For resource managers and other decision

- makers, the NWCA provides important information about the
condition of wetlands and several wide

- spread stressors influencing their biological condition

. Additionally

, the results point to potential improvement in condition that might be seen nat ionally by reducing these stressors. The NWCA found that wetlands with high levels of vegetation removal and
surface hardening stress are about twice as likely to have poor biological condition as those with low orExecutive Summary

October 2015 x

National Wetland Condition Assessment 20 11 moderat e levels of these stressors

. Further analysis that look s at how condition might improve if these

two stressors are red uced , called attributable risk

, suggests a possible 20 % reduction in wetland area
with poor biological condition if the stressor level changed from high to moderate or low.

T he NWCA developed a robust VMMI that was successfully used to evaluate the condition of wetlands

across major ecoregions and wetland types . In addition, NWCA developed several indicators of stress based on readily collected field data and used these to evaluate the relationship between common stressors and biologic al condition. NWCA scientists also conducted r esearch into other potential
indic a tors of wetland condition, and while not highlighted in this public report, findings from this
research will help inform future scientific studies.

The NWCA marks a beginning in our endeavors to assess wetland condition nationally . Work conducted
under the NWCA has advanced the state of science into indicators of wetland condition and improved our ability to evaluate wetland condition at national and regional scales. Subsequent studies and research by EPA, s tates, and other partners will continue to build upon the knowledge gain ed through
the NWC A and allow us to further explore and evaluate the condition of wetland s at multiple scales. We will be better able to answer important policy and management questions about the overall health of this critical resource, and design effective strategies to f ulfill the objectives of the Clean Water Act

— to restore and maintain the chemical, physical, and biological integrity of the nation’s waters

.Octo ber 2015 1

National Wetland Condition Assessment 20 11 

## Chapter 1: Introduction

The National Wetland Condition Assessment (NWCA) 2011 is the first national evaluation of the ecolog ic al condition of the nation’s wetlands. The survey encompassed both tidal and nontidal wetlands ranging from the expansive marshes of our coasts to the forested swamps, meadows, and waterfowl

rich prairie potholes of the interior plains.

The NWCA is part of a broader effort by EPA

, s tate
, t ribal, and f ederal partners to conduct national

- scale assessments characterizing the ecologic al condition of the nation’s waters. Under the National Aquatic Resource Survey (NARS) program, studies have been completed for wadeable streams (2004), lakes (2007), rivers and streams (2008

- 2009), and coastal waters (2010)

. NWCA 2011 marks the completion o f the first full cycle of NARS assessments. EPA and its partners plan to continue to conduct the surveys on
a five

- year basis, rotating through each of the aquatic resources beginning with lakes and ending each cycle with wetlands.

Similar to the other NAR S studies, the NWCA identified the following key goals for the project :

 P roduce a national report describing the ecologic al condition of the nation’s wetlands and stressors commonly associated with poor condition;

 C ollaborate with states and tribes in deve loping complementary monitoring tools, analytical approaches, and data management technology to aid wetland prote ction and restoration

programs; and

 A dvance the science of wetland monitoring and assessment to support wetland management needs.

The NWCA buil ds not only upon the groundbreaking work of its sister NARS studies, but also that of the U.S. Fish and Wildlife Service’s (FWS) Wetland Status and Trends (S&T) program, which has been documenting changes to the extent of wetland area in the U

. S

. for more than 30 years

. Taken together, these two efforts provide government agencies, wetland scientists, and the public with comparable, scientifically

- defensible information documenting the current status and, ultimately, trends in both wetland quantity (i.e., a rea) and quality (i.e., ecological condition). T hese studies help us to better understand the overall condition and health of all of our nation’s waters and provide information to more effectively manage and protect this valuable resource.

This report pres ents the major findings of NWCA 2011. It begins with an introduction on wetlands and the importance of these aquatic systems. Subsequent chapters provide information on the design and implementation of the study, national and regional results, and the stud y’s implications and next steps. Key concepts and study components are emphasized in special text boxes throughout the report . In addition, there are a number of highlights provided by s tates and other partners detail ing studies and
work associated with NW CA

.



## What are wetlands?

“Wetlands” is the collective term given to areas of the landscape that are transitional between land and water. Some wetlands occur alongside streams, rivers, lakes

, and coastal waters, while others occur in depressions and other low

- lying areas apart from surface waters, and still others are associated with springs high in the mountains. Wetlands can be saturated with water at varying intervals throughout theChapter 1 Introduction

October 2015 2

National Wetland Condition Assessment 20 11 day and year, and have plant and animal communities adapted to liv e in conditions ranging from permanently wet to fluctuating wet and dry. Wetlands are defined by three important attributes :

 plants that have adapted to survive and thrive in wet conditions ( known as hydrophytes) ;

 soils that exhibit features of prolonged s aturation and changing wet and dry cycles; and

 the presence of water at or near the surface of the ground for a time sufficient to produce soils and plant communities characteristic of wetlands

. Scientific and regulatory definitions for wetlands can differ in the criteria used to incorporate these
three attributes

. The NWCA uses a scientific definition for wetlands described by Cowardin et al

. ( 1979 ) that is broader than the regulatory definition of wetlands used in the federal Clean Water Act (CWA)

. T hus

, NWCA includes wetlands that may not be considered jurisdictional for purposes of the CWA.

Wetlands take on a variety of different forms and are known by many different names depending on their principal characteristics and location in p articular regions of the country. Some examples include marsh, wet meadow, swamp, bog, and prairie potholes. See Figure 1

- 1 for pictures and descriptions of
several common wetland types.

A number of classification systems have been developed based on disti nctive wetland
characteristics to organize the many kinds of wetlands into groups that share similar
attributes . The two most common systems

u s ed nationally are the Cowardin and the Hydrogeomorphic (HGM) classification systems. The Cowardin system consider s water regime, the underlying substrate and vegetation communities to catalog wetland and deep water habitats (Cowardin et al . 1979). The HGM system considers the wetland’s location in the landscape (i.e., proximity to a lake, stream, or topographic
setti ng), along with its morphology, primary water sources, and hydrodynamics (Brinson 1993).



## Why are wetlands important?

Wetlands are found on every continent and make up an estimated 5 to 8% of the Earth’s land surface (Mitsch and Gosselink 2007; Zhu et al . 2 014). In the U

. S

. , wetlands are found in every state, from the tundra of Alaska to the playas of the Great Plains and the swamps of the Florida Everglades. Wetlands even occur in the driest areas of the American West. Wetlands often occur on the edges of l akes, rivers, streams, coastal seas, and other surface water bodies, but also occur independent of these waters where precipitation or groundwater is abundant enough to sustain plants, soils, and animals that are
characteristic of wetlands. COWARDIN DEFINITION OF WETLANDS

Wetlands are lands transitional between terrestrial and aquatic systems where the water table is usually at or near the surface or the land is covered by shallow water.

For purposes of this classification wetlands must have one or more of the following th ree attributes:

(1) at least periodically, the land supports predominantly hydrophytes; (2) the substrate is predominantly undrained hydric soil; and (3) the substrate is nonsoil and is saturated with water or covered by shallow water at some time during the growing season of each year.Chapter 1 Introduction

Octo ber 2015 3

National Wetland Condition Assessment 20 11 Figure 1

- 1

. Examples of wetland s commonly found across the U

. S

.Chapter 1 Introduction

October 2015 4

National Wetland Condition Assessment 20 11 Believed to be an obstacle to development for much of our country’s history, wetlands were often drained and filled to make way for other uses. The FWS estimates that more than 220 million acres of wetlands existed in the conterminous U.S. prior to European settlement. Since then, extensive losses have occurred and over half of those wetlands have been drained and converted to other uses (Dahl 1990). Begi nning in the 1970s, the rate of wetland losses slowed substantially as a result of changes in national and state wetland policies and heightened awareness of the important benefits aquatic systems, including wetlands, bring to society.

We now know that wet lands are a vital component of the nation’s waters and provide many crucial
benefits including water quality improvement, flood abatement and carbon storage, biodiversity support, plus aesthetic, recreational, educational, and scientific opportunities. Tod ay these benefits are part of the decision process when permits are issued for activities that result in the loss or degradation
of wetlands.

Wetlands play a critical role in sustaining healthy surface and ground waters. The physical structure of
wetlands can allow them to intercept the flow of surface water, resulting in the retention and filtration of nutrients, sediment, and pollutants. Microbes living in wetlands can break down or transform potentially toxic compounds. Plants and microbes also consume a nd transform excess nutrients

, improving water quality and slowing eutrophication of downstream waters

. Together these wetland

processes often reduce the amount of undesirable substances entering other surface water bodies (e.g., rivers, streams, lakes, co astal waters) where they can degrade water quality and pose environmental
and human health risks.

Wetlands can act as natural sponges, capturing and slowly releasing surface water resulting from heavy rains, snow melt, and other floodwaters. Trees, grasses , and other wetland plants help slow the speed of
floodwaters and dis perse the excess water across floodplains. These processes lower flood heights,
reduc e erosion, and decreas e the otherwise destructive effects of swiftly moving floodwaters. In addition, wetlands at the edges of lakes, rivers, bays, and the ocean buffer shorelines from the damaging effects of storm surges caused by hurricanes, tropical storms, and other powerful weather

events.

The position of wetlands at the interface of land and water ma ke them some of the most biologically diverse and productive ecosystems in the world

. Many unique plant communities provide diverse plant species, physical structure, and distinct aesthetics to wetlands. A great variety of life from the tiniest
microbes to plants, birds, fish, and mammals inhabit and depend upon wetlands for part or all of their
life

- cycles. Chemical and biological processes occurring within wetlands provide abundant supplies of food for a diverse range of species. Microbes and small aquati c insects break down dead plant material, forming small particles of organic material that feed larger aquatic insects and shellfish. These, in turn,
feed fish and wildlife. Wetland dependent fish species make up 71% of the commercial and recreational
fish eries in the U.S. (Fisheries and Water Resources Policy Committee 2004) . Ducks and other waterfowl depend on wetlands for food and shelter. For example, p rairie potholes and marshes dot ting the
Midwest are rich in plant and aquatic life vital for breeding waterfowl . Bogs and fens are important habitat for rare plants and animals. A bout 50% of threatened or endangered animal species in the U.S. depend on wetlands for their survival and 28% of threatened or endangered plant species are associated
with wetland ecosystems (Mitsch and Gosselink 2007)

. Wetlands provide plentiful opportunities for recreation and enjoyment by people. Bird and other wildlife watchers are drawn to wetlands to view or photograph the diverse species that call wetlands
home. Hunters wade or boat through wetlands to hunt waterfowl. The abundance of fish in some typesChapter 1 Introduction

Octo ber 2015 5

National Wetland Condition Assessment 20 11 of wetlands attracts fishermen to these habitats. Marsh ecosystems line our coasts and provide food supply, shelter

, and nursery areas for both marine and freshwater species, fueling a commercial and recreational fishery economy worth billions of dollars (Fisheries and Water Resources Policy Committee 2004). The 2011 National Survey of Fishing, Hunting, and Wildlife

- Associated Recreation revealed that
over 90 million U.S. resid ents participated in wildlife

- related recreation such as fishing, hunting, or wildlife watching. This recreation is entirely dependent on having clean and healthy waters, including wetlands, to support the fish and wildlife at the center of these activitie s.

Wetlands are important settings for scientific research

. Tens of thousands of research papers have been published about wetlands by scientists since the 1950s, and today, wetlands continue to be the subject of much scientific research, including studies on nutrient cycling, global climate change, bird migration, unique plant communities, and countless others. Despite all of the historic and current wetlands research, the NWCA is the first assessment to characterize the ecological condition of wetlands on a
national scale. The NWCA also has inspired dozens of researchers to conduct novel scientific research that will add to our knowledge of wetlands and their importance in our national, global, and human
environments.

WATER CLEANSING PROCESSES OF NATURAL WETLANDS AND THEIR USE IN ENGINEERED WATER
TREATMENT SYSTEMS

Wetlands are vital to the health of waterways and downstream communities. Wetlands can naturally remove excess nutrients, sediment and other pollutants, keepi ng them from reaching lakes, streams and the ocean. The result is cleaner water resources and a healthier aquatic ecosystem.

After being slowed by the vegetation in a wetland, incoming water moves around plants, allowing suspended sediment to drop out and settle to the wetland bottom . Nutrients dissolved in water

— which reach wetlands from various sources including anthropogenic ones such as fertilizer application, manure, leaking septic tanks, and municipal sewage

— are often absorbed by plant roots and micro bes in the soil while other pollutants adhere to soil particles. In many cases, this filtration process removes much of the water’s nutrient and pollutant load by the time it leaves a wetland.

Engineers have designed water treatment facilities to use simil ar processes to remove pollutants through coagulation, settling (in sedimentation tanks), filtration, and disinfection. Just as with the natural processes in wetlands, stormwater and sewage go through physical, chemical and biological processes at treatmen t facilities which clean the wastewater. Constructed wetlands are treatment systems that use natural processes involving wetland vegetation, soils, and their associated microbial assemblages to improve water quality. Around the world, thousands of construc ted wetlands have been created to replicate the water cleaning
abilities of natural wetlands.

Picture from USEPA 2004Chapter 1 Introduction

October 2015 6

National Wetland Condition Assessment 20 11 

## Why do we need a national assessment of wetland condition?

E fforts by the FWS S&T program have provided national scale information on the location and extent of wetlands (i.e., the areal coverage on the landscape) since the 1950s. The ir most recent report, published in 2011, found a slight decrease in wetland area between 2004 and 2009. While the report not ed gains for some wetland types, such as freshwater ponds, it found continued declines in area of forested wetlands and salt marshes. Companion reports focused specifically on wetlands in coastal watersheds (2013) and the prairie pothole region (2014) also found that wetland area is decreasing in these ar ea s. See “The U.S. Fish and Wildlife Service’s Wetland Status and Trends Program” highlight at the end of Chapter 5 for more information on this program.

While the S&T reports provide invaluable information on wetland extent and change among wetland types, they do not provide data on wetland condition. Compared to other aquatic systems, such as lakes, streams, rivers, and coastal waters, wetlands have not been comprehensively assessed to
determine their cond ition or ability to meet water quality goals under the CWA. In a 2002 Water Quality Report to Congress, information provided by states addressed only 1% of the estimated area of wetlands, compared to approximately 20% of streams and rivers, 40% of lakes, a nd 35% of coastal

waters (USEPA 2007) . The lack of data makes it difficult to answer basic questions about the condition of our wetlands nationwide and to support key management decisions for most effectively protecting and restoring th is valuable resource

. The NWCA is designed t o address the gap s that exist in our understanding of wetland condition

. EPA and
its state, trib al , academic, and federal agenc y partners, are collaborating to provide improved
environmental information about wetland s at national an d regional scales

. The NWCA, like all NARS

assessments , is a statistical survey that provide s a cost

- effective and scientifically

- valid way for informing the public and decision

- makers about wetland quality because it :

 Is nationally consistent

,

 P roduce s data representative of the resource being sampled

,

 U se s standardized field and laboratory protocols, and

 F ollow s rigorous quality assurance protocols.

T he findings of the NARS are not water quality reports prepared by the states under Section 305(b) of
th e CWA, nor are they impaired water determinations under Section 303(d) of the CWA. Such determinations are made by states on specific water body segments using applicable state water quality standards. State CWA monitoring and assessment approaches may var y significantly from those used in
NARS and may yield different results (see text box “How D o es NARS R eporting D iffer from S tate W ater Q uality R eports R equired by the CWA?”).

Rather, t he NARS are designed to answer such questions as:

 What percent of waters support healthy biological and recreational condition?

 How widespread are major stressors that impact water quality?

 How is condition changing over time?

 A re our national investments in the protection and restoration of aquatic systems working?

The focus of the surveys is on water bodies as groups or populations, rather than as individual waters. Accordingly, this report does not provide wetland manager s with information on the condition of a specific wetland. Instead, the NWCA allows us to assess the percent of wetland area within particularChapter 1 Introduction

Octo ber 2015 7

National Wetland Condition Assessment 20 11 condition classes (e.g., good, fair, poor) at the national scale and in four major ecoregions across the U.S

. As additional surveys are implemented, we will be able to track changes in condition over time as well

.



## How was the national assessment develop ed ?

EPA began planning for the NWCA in 2006. Throughout the planning process, EPA engaged with a broad group of stakeholders from state environmental and natural resource agencies, tribes, federal agencies, academia, and other organizations to help inform different aspects of the assessment. Planning the first

ever national survey of wetland condition entailed a number of steps, each with its own set of challenges to overcome, including

, but not limited to

, creating a survey design, selecting efficient,
sci entifically valid indicators, developing new field protocols, and piloting protocols. The development and selection of the NWCA field methods were also influenced by logistic considerations, such as the need to complete sampling for each site in one day.

I n addition to reporting on the condition of wetlands nationally, another objective of the NWCA is to provide support to states and tribes that are interested in pursuing research to develop assessment methodologies and undertake statistically valid surveys of wetlands at finer geographic scales (i.e., within state or tribal boundaries). To accomplish this, EPA encouraged and provided support for states to do more intensive sampling in conjunction with the NWCA at state or regional scales. These intensifications involved sampling additional sites, parameters, or both within a state or region. S tates worked closely with EPA to develop intensificati on survey designs. This resulted in projects throughout the country, with

state

- driven focuses such as:

 Designing s tate

- scale assessments that inform state

- level management and policy needs ; HOW DOES NARS REPORTING DIFFER FROM STATE WATER

- QUALITY REPORTS REQUIRED BY THE CWA?

Under Section 305(b) of the CWA, states are expected to monitor, and are required to assess and report on the condition of their waters, including the extent of waters that support the goals of the Act. Under Section 303(d), states are to identify waters that are impaired, do not meet state water quality standards, and require additional pollution controls. States use a variety of monitoring and assessment approaches to meet these requirements of the CWA and to
address state

- specific information ne eds for managing state waters.

States usually collect information for many parameters at locations of importance to the state, such as swimming beaches, near dischargers, or at drinking water sources using methods developed for the state’s specific purpos es. However, state methods of collecting and assessing data can change over time and vary widely between states; so too do the state water quality standards used to determine impairment. This makes it difficult to aggregate this information
for the nation as a whole, or over time. State monitoring programs are not designed to answer national

- level questions such as whether or not U.S. water quality is improving.

One of the long

- term goals of the NARS is to determine trends for the nation as a whole. To do t his, the surveys use a set
of standardized methods to monitor for a discrete set of stressors. Field crews collect the same data at each of the randomly selected, representative sites across the country; results are compared to conditions at least

- disturbe d sites in the ecoregions (and not to state water quality standards). Survey results are then aggregated into an overall assessment of water quality. It is the intent of EPA that these surveys complement state

- specific CWA information and provide
national and regional context to decision

- makers.
To learn more about state CWA reporting, visit www.epa.gov/waters/ir/.Chapter 1 Introduction

October 2015 8

National Wetland Condition Assessment 20 11  C apturing wetlands of interest that may have been missed in the n ational survey due to being

rare (e.g.

, vernal pools) ; and

 T esting additional indic ators or assessment procedures.

These intensification s serve to augment the national and ecoregion results of the NWCA 2011 . Some of these projects, as well as their findings, are highlighted throughout this report.Octo ber 2015 9

National Wetland Condition Assessment 20 11 

# Highlight

Gulf of Mexico Coastal Wetlands Pilot Project: Setting the Stage for the NWCA Janet Nestlerode, U.S. EPA Office of Research and Development, Gulf Ecology Division

Objectives: The EPA, in
collaboration with the United States Geological Service (USGS), implemented a pilot project along the northern coast of the Gulf of Mexico (GOM) in
order to evaluate the
effectiveness of a three

- tier survey framework for regional wetland
assessment. The results of the pilot study provided insight into the usefulness
of the chosen indicators in determining condition and provided several “lessons
learned” that were
beneficial to the development of the NWCA
2011

.

Overview : One hundred wetland points along the GOM Coastal Region, which includes five states and 2,500 km of coastal lands, were selected for the pilot study and included five wetland classes (Figure 1). Five hundred oversample sites were also generated to replace original point s that had to be dropped due to inaccessibility, or for other reasons. A 3

- tier assessment framework was implemented during the
2007 and 2008 field seasons. Landscape

- level (tier 1) assessments were conducted off

- site and (tier 2 and 3) sampling was undertaken by crew members for each site , typically within one field day. Crews utilized a tier 2 rapid assessment, called the Gu lf Rapid Assessment Method (GRAM), based on the California Rapid Assessment Method (CRAM). Tier 3 (intensive site assessments) included the collection of physical, chemical, and biological data at each site. This included soil and water chemistry, vegetati on and macrophyte samples, as well as other measures. Between the first and second field seasons for the pilot, minor modifications were made to the field protocols.

P lanning, logistics, and field conditio ns presented several challenges for the team before and during the field season. These ranged from identifying landowners, obtaining permission to sample a site, and determining how best to reach remote sites. Identifying landowners and gaining access to sites Figure 1. GOM coastal wetland survey sites shown with in the boundary of GOM coastal watersheds as defined by all USGS 8

- d igit hydrologic unit code (HUC) system segments that abut the coast and modified by NOAA’s Estuari ne Drainage Areas where needed.Chapter 1 Introduction

October 2015 10

National Wetland Condition Assessment 20 11 often proved difficult, as the team had to ta ke into consideration both land ownership at the sample site and ownership of lands that had to be crossed to access the site. Landowner records and access to those records differed by localities, and it was a learning curve to find contact information and coordinate access permissions.

During GOM pilot implementation, crews sampled sites that were often remote and/or difficult to access. In South Florida, for example, getting to some sites required hiking for miles through waist

deep waters and mucky soils , transportation by boat, 4

- wheel drive sport utility vehicles, or swamp buggies with balloon tires, or some combination of these modes of transportation. The team coordinated with local experts to determine the best ways to access remote sites, but in som e cases sites were inaccessible and had to be dropped altogether.

Through data collection and analysis, the pilot project identified gear and equipment needed by survey crews, as well as an appropriate division of responsibilities among crew members. Implementation of the pilot study also provided an opportunity to determine
the time needed for various data collection protocols

, and helped gauge
what could realist ically be accomplished by crews within a single field sampling day, once factoring in
travel times. This information was used in the planning and protocol development for the NWCA.

Overall, the GOM coastal wetlands pilot project highlight ed the great

coope ration and effort necessary to conduct a regional condition assessment, and it provided critical
information and lessons learned that informed planning efforts and development of the NWCA
2011.

To learn more, contact Janet Nestlerode (Nestlerode.Janet@epa. gov; 850

- 934

- 2492), EPA Office of Research and Development, Gulf Ecology Division. Swamp buggy used to access a remote wetland site in Big Cypress National Preserve

.Octo ber 2015 11

National Wetland Condition Assessment 20 11 

## Chapter 2: Design of the National Wetland Condition Assessment

The NWCA is designed to answer basic questions about the condition of our nation’s we t lands and the prevalence of key stressors at national and regional scale s

. As noted, i t is intended to complement and build upon the achievements of the FWS S&T Program, which characterizes changes in wetland acreage
across the conterminous U

. S.



## Wh ich wetlands are included in the NWCA ?

This report covers the conterminous U

. S

. , which currently contain an estimated 11 0 million acres of

w etlands ( Dahl 2011 ). Neither Alaska nor Hawaii are included in the national results presented in this report. Wetlands in Hawaii were not sampled, but the State of Alaska conducted sampling on the North Slope of the Alaskan coastal plain, using protocols s imilar to those used in the NWCA. A summary of t he results of the North Slope assessment are presented as a special highlight later in the report (see “Alaska’s Arcti c Wetlands Assessment”)

. The specific wetlands targeted for sampling in the NWCA include tidal and nontidal wetlands within the
conterminous U .S. with rooted vegetation and, when present, shallow open water less than one meter deep

, that are not currently being used in the production of crops 1

. EPA used the same digital map of
wetland location s that FWS uses in their Wetlands S&T Program to select sites for sampling. The S&T Program defines and classifies habitats into wetland, deep water, and upland categories and groups wetlands into S&T categories based on hydrology, geomorphology, vegetatio n, and water chemistry ( Dahl 2011, Dahl and Bergeson 2009, Cowardin et al . 1979). EPA uses a subset of the S&T wetland categories for the NWCA

. Table 2

- 1 provides detailed descriptions of the seven S&T wetland categories
that are included in the target wetland population for NWCA

. Two major S&T wetland categories

, Marine Intertidal (near shore coastal waters) and Estuarine Intertidal Unconsolidated Shore (beaches, bars, and mudflats)

, are not included in the NWCA because they are outside of the NWCA targ et population. They typically occur in deeper water (> 1 meter), or are unlikely to contain rooted wetland vegetation. Unique wetland types with more limited extents across the conterminous U

. S

. may also not be included

, or may be underrepresented

, in the NWCA 2011 if they
are not included in the S & T Program or due to inherent constraints associated with the number and locations of the sites randomly selected for sampling.

1 Wetlands that have been mechanically or physically altered for the production of crops, but where wetland plants would become reestablished if farming is discontinued, are identified in the FWS S& T Program as “farmed wetlands.” NWCA included these wetlands in its target population only if they were not currently being used for the production of crops.Chapter 2 Design of the NWCA

October 2015 12

National Wetland Condition Assessment 20 11 Table 2

- 1 . FWS S&T Wetland Categories that comprise the NWCA Target Wetland Types. Descriptions adapted from Dahl ( 2006) and Dahl and Bergeson (2009)

. See NWCA 2011 Technical Report (USEPA 2015) , Chapter 1 for more details.

S&T Categories included in
NWCA (NWCA Aggregated Wetland Type) Common Name Technical Description
Estuarine Intertidal Emergent (Estuarine Herbaceous) Salt marsh Emergent wetlands in estuarine system characterized by erect, rooted, herbaceous hydrophytes, excluding mosses and lichens. This vegetation is present for most of the growing season in most years. These wetlands are usually dominated by perennial plants.
Estuarine Intertidal Scrub Shrub/Forested ( Estuarine Woody) Mangroves Other estuarine
shrub or forest
wetlands Shrub or forested wetlands in estuarine system dominated by woody vegetation less than 20 feet (6 meters) tall. The species include true shrubs, young trees, and trees or shrubs that are
small or stunted because of environmental conditions. Forested wetlands are characterized by woody vegetation that i s 6 meters or taller. Palustrine Emergent (Inland Herbaceous) Inland marshes
Wet meadows Emergent wetlands in the palustrine * system and characterized by erect, rooted, herbaceous hydrophytes, excluding mosses and lichens. This vegetation is present for most of the growing season in most years. These wetlands are usually dominated by perennial plants.
Palustrine Scrub Shrub ( Inland Woody) Shrub wetlands Shrub wetlands in the palustrine * system and dominated by woody vegetation less than 20 feet (6 meters) tall. The species include true shrubs, young trees, and trees or shrubs that are
small or stunted because of environmental conditions.
Palustrine Forested (Inland Woody) Forested swamps Forested wetlands in the palustrine * system and characterized by woody vegetation that is 6 meters tall or taller.
Palustrine Farmed ( Inland Herbaceous) Farmed wetland Farmed wetlands in the palustrine * system and having the soil surface mechanically or physically altered for production of crops, but where hydrophytes will become reestablished if farming is discontinued.
Palustrine Unconsolidated Bottom/Aquatic Bed (Inland Herbaceous) Ponds Bog lakes Vernal pools Kettle ponds Beaver ponds Alligator holes Farm ponds Recreation ponds Golf course ponds
Residential lakes
Water retention ponds Aquatic beds
Pondweeds Aquatic beds in the palustrine * system dominated by plants that

grow principally on or below the surface of the water for most of the growing season in most years. Examples include pondweeds ( Potamogeton spp. ), wild celery ( Vallisneria
americana ), waterweed ( Elodea spp. ), and duckweed ( Lemna

spp. ).

Unconsolidated bottom wetlands in the palustrine * system and
with at least 25 % cover of particles smaller than stones, and a vegetative cover less than 30 % . Examples of unconsolidated substrates are: sand, mud, organic material, and cobble gra vel.

Aquatic bed and unconsolidated bottom wetlands must also have the following four characteristics: (1) area less than 20 acres (8 ha); (2) an active wave formed or bedrock shoreline features are lacking; (3) water depth in the deepest part of a
basin l ess than 6.6 feet (2 meters) at low water; and (4) salinity due to ocean derived salts less than 0.5 parts per thousand.

* Due to difference s in classifying and mapping wetlands under the Cowardin system, these S&T categories may include wetlands in shall ow riverine and lacustrine systems.Chapter 2 Design of the NWCA

Octo ber 2015 13

National Wetland Condition Assessment 20 11 

## How are the NWCA results presented ?

The NWCA reports on wetlands at two scales. The broadest scale is nationwide. Results are also reported for ecoregions that correspond to major climate and landform patterns, because t he patterns of response to stress, and the stressors themselves, are often better understood in this context.

Ecoregions developed and described by Omernik (1987, USEPA 2011 a ) are used in this report, as well as
in other NARS studies. Omernik Level III eco regions across the conterminous US were combined in to

n ine Aggregated Ecoregions to analyze data and report results in previous NARS studies of wadeable streams (2004), lakes (2007), and rivers and streams (2008

- 2009) (see left map in Figure 2

- 1). Ideally, NWCA would have used this same set of nine ecoregions to analyze and report results. However, attempting to evaluate each of the seven NWCA Target Wetland Types within each of the n ine Aggregated Ecoregions would have required sampling nearly three times as many sites to achieve statistically valid results , which was beyond the logistical capacity of the NWCA. To allow assessment of condition for distinct wetland types across ecoregions with an acceptable degree of statistical certainty (i.e., a sufficient number of sampled sites by wetland type) , NWCA further combined the n ine Aggregated Ecoregions into four NWCA Aggregated Ecoregions ( see right map in Figure 2

- 1):

 Coastal Plains

 Eastern Mountains and Upper Midwest

 Interior Plains

 West

Figure 2

- 1

. Nine Aggregat ed Ecoregions used in other NARS (map on left) further combined into the four NWCA Aggregated Ecoregions (map on right)

.
The seven S&T wetland categories included in the NWCA Target W etland Types (see Table 2

- 1) sampled also had to be combined to allow a sufficient number of sites in each reporting group. This was done by maintaining the distinction between estuarine and inland wetland type s, and within these two groupsChapter 2 Design of the NWCA

October 2015 14

National Wetland Condition Assessment 20 11 distinguishing wetlands by herb aceous

- dominated or woody

- dominated vegetation

, resulting in four NWCA Aggregated Wetland Types:

 Estuarine Herbaceous

– emergent wetlands

 Estuarine Woody

– scrub

- shrub and forested wetlands

 Inland Herbaceous

– emergent, unconsolidated botto m/aquatic bed , and farmed wetlands not in crop production

 Inland Woody

– forested and scrub

- shrub wetlands

Chapter 3 presents the results at the national level and in comparison to the four NWCA Aggregated Ecoregions. Chapter 4 presents the condition and s tressor results for each NWCA Aggregated Ecoregion
and

, w ithin each ecoregion, for inland herbaceous and inland woody wetland types. Results for estuarine herbaceous and woody wetlands are presented nationally. While aggregating wetland types
allow s for th e reporting of statistically valid national and ecoregional results, differences among u nique wetland types across the conterminous U

. S

. may be obscured by combining the various wetland types
into the four wetland types used for this NWCA 2011 report

.



## How were the sampling sites chosen and what do they represent ?

NWCA sampling locations were randomly selected using a survey design commonly applied in a variety of research fields (e.g., ecological assessments, health surveys, election polls, monthly labo r estimates) to determine the status of populations using a representative s ample of relatively few members of the group . This approach is especially cost

- effective if the population is so numerous
that all members cannot be sampled, or if it is not necess ary to sample the entire population to reach a desired level of statistical precision.

To identify a group of wetland sites to be sampled in the NWCA, also known as the target population (i.e., potential sample points), it was necessary to know the locatio n of the NWCA Target Wetland Types. The NWCA design team used the same digital map of wetland locations as the FWS
S&T Program in their 2005 survey to select wetland sample points and to facilitate comparisons of the findings from both programs. The S&T P rogram updates wetland mapping for a fixed set of statistically selected locations across the conterminous U.S. every five to ten years. While not a comprehensive map of all wetlands throughout the U.S. , these mapped locations are used to statistically rep resent the extent of wetlands nationally and , at the time of the survey, was the most consistent and up‐to‐date source of digitally mapped wetlands available on a national scale for the
NWCA 2011 . Sample points for the NWCA were distributed based on the pr evalence of wetlands
across the U

. S

. and the seven NWCA Target Wetland Types (see Table 2

- 1). For example, more sample points were located in regions with greater wetland area.

The 967 sites sampled based on the NWCA design were identified using a technique called Generalized Random Tessellation Stratified (GRTS) survey design ( s ee NWCA 2011 Technical Report

, Chapter 1 (USEPA 2015) ). In such a design, every element in the population has a known probability of being selected for sampling. This important feature ensures that the results of the survey reflect the full range of wetlands in the target population across the U

. S. Site selection rules were implemented to provide balance in the nu mber of wetlands from each class. Site selection was also controlled for spatial distribution to ensure each state received a minimum number of sites, which also improved the national spatial balance of the sites (see Figure 2

- 2).Chapter 2 Design of the NWCA

Octo ber 2015 15

National Wetland Condition Assessment 20 11 Figure 2

- 2 . NWCA Sample Sites. The inset shows the sample sites for the study in the North Slope of Alaska described in a highlight later in this report.

Research teams from EPA and the states screened the points identified for sampling by the survey design using aerial photo interpretations and G eographic I nformation S ystem (GIS) analyses to eliminate locations not suitable for NWCA sampling (e.g., wetlands converted to dry land or upland due to development) . Next , field reconnaissance was conducted to determine if the sites met established criteria for inclusion in the survey. If a site was eliminated by the screening process or determined in the
field to be a non

- target wetland type or inaccessible (e.g., the lan downer denied access to the site, the site was unsafe to access, the site was too remote to access under the logistical constraints of the survey), it was removed from the sampling effort and systematically replaced with another site from a pool of replace ment sites within the random design.



### The treatment of sites eliminated from sampling , as either non

- target or inaccessible, affects how the final population results for the NWCA are estimated and reported. Taking into account the sites identified, during s creening and field reconnaissance, as non

- target (e.g., wetlands in active crop production, deeper water ponds, mudflats , uplands )

, the NWCA estimated there are 9 5 million acres of wetlands in the NWCA target population. The area represented by sites that are part of the target population , but not sampled because of accessibility issues, is not included for reporting on
assessment of condition and stress

. As a result, the final acreage represented by t he probability
sites sampled and reported on in the NWCA is 62 million acres

. In addition, not all wetland types included in the FWS S&T studies (estimated wetland area 110 million acres ) are included as wetlandChapter 2 Design of the NWCA

October 2015 16

National Wetland Condition Assessment 20 11 

### types in the NWCA target population

. Table 2

- 2 provides the dis tribution of sampled probabil ity sites and the acres and percent of wetland area they represent within the NWCA ecoregions and aggregated wetland types

.

Table 2

- 2 . Number of probability sites sampled nationally and within each of the NWCA Aggregated Ecoregions and acres of
wetland area these sites represent. Number of sites sampled and the acres represented is also shown for the aggregated wetland types used in NWCA.

Region Sampled
Sites in Population Acres

Represented by Sampled Sites, (% of Population) NWCA Wetland Type Sampled
Sites in Population Acres

Represented by Sampled Sites, (% of Population)

National
967 62

, 156

, 199 (100%) Estuarine Herbaceous 258 4,987,824 (8%)

Estuarine Woody 69 497,821 (1%)

Inland Herbaceous 302 13,599,611 (22%)

Inland Woody 338 43,070,943 (69%)

Coastal Plain
513 30,893,305 (50%) Estuarine Wetlands 288 5,283,489 (9%)

Inland Herbaceous 62 3,750,551 (6%)

Inland Woody 163 21,859,265 (35%) Eastern Mtn & Upper Midwest
152 19,956,668 (32%) Estuarine Wetlands 14 29,173 (0.04%)

Inland Herbaceous 55 3,762,089 (6%)

Inland Woody 83 16,165,406 (26%)

Interior Plains
156 7,659,166 (12%) Estuarine Wetlands 0 0

Inland Herbaceous 115 4,598,831 (7%)

Inland Woody 41 3,060,335 (5%)

West
146 3,647,060 (6%) Estuarine Wetlands 25 172,985 (0.3%)

Inland Herbaceous 70 1,488,139 (2%)

Inland Woody 51 1,985,936 (3%)Chapter 2 Design of the NWCA

Octo ber 2015 17

National Wetland Condition Assessment 20 11 

## How were wetlands sampled ?

NWCA field work was conducted during the spring and summer of 2011 by more than 50 crews composed of four or more trained personnel from state and tribal environmental agencies, EPA, universities, and contract staff. Wetland sites were sampled using standa rdized field protocols (see NWCA Field Operations Manual, USEPA 2011 a ; NWCA Laboratory Operations Manual, USEPA 2011 b;
and the NWCA Quality Assurance Project Plan, USEPA 2011c ) to collect data relevant to describing the ecological condition of wetlands and quantifying indicators of stress to condition

. Protocols were designed to allow sampling at each site to typically be completed in one day.

During each site visit, field crews collected ecological data in a standard 0.5

- hectare a ssessment a rea, representi ng the sample point from the survey design, and in the immediately adjacent 100 meters extending from the a ssessment a rea edge, designated as the buffer (Fig ure 2

- 3)

. The crews collected data on vegetation, soils, hydrology, algae, and water chemistry from the assessment area . In the buffer
crews collected data on habitat and the presence of stressors that could impact the a ssessment a rea. Some sites were not conducive to use of the standard layout shown in Figure 2

- 3 because of the size and shape of the wetland (e.g., long and narrow) or because parts of the assessment area contained deep
water, non

- target wetland types, or upland. In such cases, the NWCA protocols provided speci fications
for alternate a ssessment a rea layout s

. The use of standardized field and laboratory protocols is a key feature of the NWCA and all NARS studies, and allows the data to be combined to produce a nationally consistent assessment. As part of the qual ity assurance procedures, each field crew was trained and evaluated on applying the NWCA protocols by wetland experts. Field checks were conducted at the beginning of the sampling season to

en sure that the protocols were being correctly implemented by the crews, thereby minimizing human error in data collection. In addition, roughly 10% of the sites were resampled two to four weeks after the initial visit to a site to evaluate sampling variability.Chapter 2 Design of the NWCA

October 2015 18

National Wetland Condition Assessment 20 11 Figure 2

- 3

. Standard NWCA a ssessment a rea and b uffer s ampling l ayoutOcto ber 2015 19

National Wetland Condition Assessment 20 11 

# Highlight

California’s Intensification Project: Learning More about California’s Wetlands and Refining Monitoring Techniques

Cara Clark, Moss Landing Marine Laboratories

California has a great diversity of wetlands. Different wetland types provide different services and support diverse wildlife, such as water birds, birds of pr ey, otters, bears, deer, and a wealth of fish species. California has lost more than 90% of its
historical wetlands and today, many remaining wetlands are
threatened. We tlands continue to be drained for agriculture, filled for development, or disturbed by modifications to the watershed such as dams or water diversions. Climate change poses a significant threat, as many wetlands today are dependent on artificial water deli very systems or high groundwater levels, and may be impacted by changing climatic conditions. Further, wetlands along the coast face flooding from potential sea level rise.

Project Objectives: California’s intensification project augmented the 2011 NWCA su rvey to support two primary goals. First, California increased the number of sites sampled to produce a statistically valid state

- level assessment of California wetland quality. Second, the data collected for NWCA were used to further validate
the Californ ia Rapid Assessment Method (CRAM)

- an important tool in California’s toolbox for assessing
wetland health

- and examine additional associations between CRAM and potential stressors to wetland quality.

Samplin g and Protocols : The 2011
NWCA included 23 sites in California
and California added 22 additional sites bringing the total to 45. The
additional California intensification project sites were selected from the same framework as the NWCA, so that
the two set s of sites could be combined for analysis and reporting

. NWCA data and protocols were used
at all 45 sites and the state also conducted the CRAM (Figure 1).

The CRAM is a standardized tool for wetland monitoring in California, developed with support from EPA. It is based on the concept that the
structure of a wetland is indicative of its capacity to provide important functions. Four general attributes, Estuarine Wetland Site sampled in China Camp State Park, San Rafael, CA

.

Figure 1. Sampled NWCA sites in California

.October 2015

20

National Wetland Condition Assessment 20 11 Buffer and Landscape Context, Hydrology, Physical Structure, and Biotic Structure, are assessed visually in the field. The scores for each attribute are compiled into an overall score, with higher scores relating to better condition. This project served as a valuable opportunity to further validate CRAM by comparing CRA M scores

to the more intensive parameters in the NWCA including water nutrient concentrations.

What They Have Learned: Although assessment of the information from the California intensification is still ongoing, staff have begun looking at the site

- specific information from the CRAM, including a comparison of estuarine and depressional wetlands. California’s estuarine wetlands are often large, connected salt marsh systems, in cont rast to depressional wetlands which are usually smaller or more fragmented. As a result, estuarine wetlands have fewer direct landscape stressors putting pressure on them, and so tend to be in better condition. This is borne out by CRAM results from 2011.

The sites sampled in 2011 indicate that estuarine wetlands tended to have higher CRAM scores (indicating better condition) than depressional wetlands. The median (50 th percentile) CRAM score of depressional wetlands was 62, whereas the median score for estuarine wetlands was 79 (Figure 2). Additionally, depressional wetlands tended to have lower scores than estuarine wetlands for a ll of the attributes included in CRAM, indicating they are subject to more

stressors.

Other stressors: Excess nutrients in wetlands often have anthropogenic sources, as nutrients drain to wetlands from high intensity land uses, such as agriculture or urban development. Excess nutrients entering the wetland can have direct impacts, causing eutrophication an d excess growth of algae, which leads to hypoxia. When algae die and decompose, oxygen is depleted from the water, and the lack of oxygen can kill fish and other organisms. Researchers found weak, but statistically significant, correlations between

water n utrient concentrations and CRAM scores in California’s wetlands. Wetlands with higher nitrate and nitrite concentrations in surface water samples tended to have lower CRAM scores. The correlation observed between CRAM scores and nitrate/nitrite concentrati ons validates that the CRAM score reflects environment factors that can cause wetland degradation. Higher total phosphorous in surface water was also associated with wetlands having lower Buffer and Landscape Context scores (one of the CRAM components). Li ke nitrogen, excess phosphorous in wetlands is often due to intensive anthropogenic activities in the surrounding area, which is suggested by the lower Buffe r and Landscape Context scores.

What’s Next: The California intensification project provided valuab le information for state

- level wetland condition, as well as validation for the CRAM tool that is utilized throughout the state. In addition to continued analysis of this dataset, implementation of the NWCA encouraged the state to develop its own wetland s tatus and trends program with the goal of augmenting the FWS Status and Trends wetland area mapping information with consistent and compl ete state

- level wetland maps. While the sites selected for the NWCA survey were spread across the state, there were clu sters of sites in the San Francisco Bay area and the Central Valley. At the time of NWCA 2011 site selection, California did not have comprehensive or consistently

- scaled wetland maps or a state level wetland mapping program. While this program is still un der development, it is hoped that wetland monitoring and assessment goals will be better met with improved wetland maps for the state providing a more robust characterization of the entire popula tion of wetlands in California.

To learn more, contact Cara C lark ( cclark@mlml.calstate.edu ; 831

- 771

- 4428), Central Coast Wetlands Group at Moss Landing Marine Laboratories. Figure 2. Cumulative Frequency of CRAM scores for depressional and estuarine wetlands, based upon unweighted data

. 

### 6
2 7

9Chapter 2 Design of the NWCA

Octo ber 2015 21

National Wetland Condition Assessment 20 11 

## What data were collected and why ?

The NWCA collected data to characterize biological, chemical, and physical features of each site. Vegetation, soil, hydrology, water chemistry, algae, and buffer characteristics were chosen for evaluation based on their utility in reflecting ecological condition of wetlands or key indicators of stress
that may influence condition across broad national and regional scales (see NWCA 2011 Technical Report (USEPA 2015) ). Data for each of these indicator groups were obtained from field observations
and laboratory analyses of samples collected in the field

. Vegeta tion characteristics were used in the development of a biological indicator of condition. Data collected on vegetation, soils, hydrology, buffer characteristics, and algae were used to develop core indicators of stress for the NWCA.

Brief descriptions of k ey NWCA data that were collected and why each data type is important to the determination of wetland condition or stress class are provided in the remaining paragraphs of this section. Additional data, not discussed here, were collected in the NWCA 2011 pr imarily for research

purposes. F or information on these other data

, see the NWCA 2011 Field Operations Manual (USEPA
2011 a ) and the NWCA 2011 Technical Report (USEPA 2015)

. Vegetation : The status of natural vegetation has been increasingly and effectively used to evaluate ecological integrity in wetlands. In wetland ecosystems, vegetation provides biodiversity, primary productivity, habitat for other organisms, and responds to and infl uences hydrology, water chemistry,
and physical and chemical properties of soils. Because plants respond directly to physical, chemical, and biological factors at multiple temporal and spatial scales, they can be excellent indicators of ecological
conditio n or stress. For example, wetland plant species represent diverse adaptations, ecological tolerances, and life history strategies, and integrate environmental conditions, species interactions, and
human

- caused disturbance. As a result, many human

- mediated disturbances are reflected in shifts in the presence or abundance of particular plant species or in the types of plants occurring at a particular location. Data describing plant species identity, presence, and abundance were collected in the field for
the NWCA 2011 . Information on plant species traits was compiled from a variety of sources including the PLANTS database (USDA

- NRCS 201 3 )

, National Wetland Plant List (USACE 2014), regional and state
floristic databases and floras

, state and regional lists of c oefficients of conservatism (describing species sensitivity to disturbance) and other published literature (see NWCA 2011 Technical Report (USEPA 2015) for details)

. Field and trait data describing vegetation characteristics are powerful and robust, and

ca n be summarized into myriad candidate metrics or indices of ecological condition. S ome plant species or plant groups also can be indicators of stress to wetlands. Nonnative plant species, in particular, are recognized as indicators of stress or declining e cological condition, or as direct stressors to condition.

Soils : Wetland soils cycle nutrients, store pollutants, mediate groundwater, are a growth medium for plants, and provide habitat for microbes and macroinvertebrates (e.g., insects, worms, crayfish, crabs). Wetland soils develop distinct characteristics as a result of the hydrology and biota (e.g., microbes, vegetation) associated with wetlands, as well as other factors that affect soil development across all environments (e.g., climate, geology). The se characteristics can be altered by chemical, physical, and biological stressors, which impacts the ability of the soil to perform functions necessary to healthy wetlands. Field crews described soil morphology (characteristics such as color, texture, and evidence of saturation) and collected soil samples to be analyzed for chemical and physical properties to identify
disturbance and indicators of stress. The Natural Resources Conservation Service (NRCS), the f ederal agency that provides technical assistance in the management and protection of natural resourcesChapter 2 Design of the NWCA

October 2015 22

National Wetland Condition Assessment 20 11 including soils, worked in partnership with the EPA to provide laboratory analysis for soil samples
collected.

Hydrology : Wetland hydrology is a primary driver of wetland formation and persistence. Hydrology describes the movement, distribution, and physical and chemical characteristics of surface and subsurface water. How water moves in or out of a wetland, how long water remains in a wetland, and
how muc h water is in a wetland impacts many wetland characteristics, including the plant community composition and productivity, nutrient cycling, and the loss and retention of sediment. Water levels and patterns of water movement within a wetland can be very dyn amic, changing over a period of hours, days, months, and/or years, making it difficult to assess hydrology with a single site visit (such as in the NWCA). Field crews collected information about the hydrology of each site by observing the presence or
absen ce of specific water sources and evidence of alterations to water flow and retention (e.g., drainage ditches, damming features, evidence of sedimentation or erosion, impervious surfaces)

. Water Chemistry: Characterizing water chemistry is an integral part of the assessment of aquatic resources, because the physical and chemical properties of water directly reflect the surrounding environment, including anthropogenic influences. However, wetlands differ from lakes, streams, and
coastal waters in that standin g water is not necessarily present (Mitsch and Gosselink 2007). At sites with standing water greater than 15 centimeters deep , water samples were collected and analyzed for a number of water quality parameters. Field crews also made qualitative assessments of water clarity.
Data were analyzed to investigate relationships between water measurements and natural conditions and anthropogenic stressors.

Algae : Algae respond quickly to ecological change in wetlands and have been widely used as indicators
of recen t changes in wetland condition because of their rapid reproduction rates, short life cycles, broad distribution, and sensitivity to changes in nutrient levels (McCormick and Cairns Jr. 1994). In addition, diatom species can provide insights into past hydro logy such as recent flooding, standing water, or droughts (McCormick and Cairns Jr. 1994, US EPA 2002, Lane and Brown 2007). Algae samples from the water column, sediment, and vegetation were collected from sites with standing water and those
without standi ng water that had evidence of recent inunda tion. Samples were analyzed to characterize the algal communities present at sites and to investigate relationships between certain communities and ecological condition of wetlands

.

Blue

- Green Algae: Toxins produc ed by some blue

- green algae species can pose potential human health risks or limit human recreational use of aquatic resources when t hey occur above specific concentrations. Microcystin is the algal toxin believed to be most common in lakes, and it was eva luated in the NWCA to determine how frequently and at what concentrations, it might occur in wetlands. At sites with standing water present

, a composite sample from the water column, sediment, and vegetation was collected and analyzed to detect the presenc e and concentration of microcystin

.
Buffer : The presence and condition of the habitat in the area surrounding a site can influence the ecological condition of the site. For example, natural vegetati on cover in the buffer can protect the wetland by trapping and absorbing incoming sediments, nutrients

, and pollutants before they reach the
wetland . The buffer can also reduce wetland disturbance from activities in adjacent areas and mitigate stressors that may affect wetland condition. In contrast, human

- mediated disturbances to the buffer can be indicators of stress to wetland condition, or may directly cause stress. An example of this would be surface hardening (e.g., pavement, soil compaction) in the buffer which could alter the hydrology of a wetland by limiting the natural ability of soils in the buffer (and potentially the wetland) to soak up stormwater, thus increasing the potential for flooding or erosion to the wetland

. Field crews collectedChapter 2 Design of the NWCA

Octo ber 2015 23

National Wetland Condition Assessment 20 11 observational data on the presence or absence of a variety of disturbance types within the assessment

area and the wetland or upland area extending 100 meter s around the assessment area (termed the
buffer area)

. Each of these categories of data collected by NWCA were evaluated to determine their utility in describing the ecological condition of wetlands or defining indicators of stress to condition at broad national and regional scales. The specific properties measured and how they were used to evaluate
wetland stress and condition are discussed in the next section.



## How were the NWCA core data used to report on ecological con dition and
stress?

The raw data from the field and laboratories were combined into a number of metrics and indices to

e valuate NWCA 2011 data for this report. A metric is an individual measure of a particular property for an individual site, while an index is a combination of metrics used to generate a single score for a particular site. Indicators of condition or stress c an be based on single metrics or on indices. An index of biological condition based on vegetation was created using plant species data collected at each site and information on plant traits. I ndicators of stress were also developed using biological, chemic al, or physical data collected for the NWCA.

Figure 2

- 4 illustrates the relationships of the core NWCA data types to the 1) development of indicators of condition and stress for wetlands, 2) calculation of extent estimates for wetland condition and for
ind icators of stress, and 3) calculation of relative and attributable risk associated with each of the indicators of stress. Core data types are indicated by gray boxes in the figure. The gray arrows represent analyses leading from these core data types to th e development of final indicators of stress or condition used in NWCA 2011, and also show the sources of data for the NWCA indicators of condition and stress. Further documentation describing the technical aspects of the analysis process used in NWCA is
available in t he NWCA 2011 Technical Report (USEPA 2015)

.Chapter 2 Design of the NWCA

October 2015 24

National Wetland Condition Assessment 20 11 Figure 2

- 4

. Core data types and relationships to how they are used to develop indicators of condition and

stress. Core data types (gray boxes) and r elationships to how they are used to develop indicators of condition (open green box) and stress (open yellow boxes), and how the indicators are used to determine wetland condition (green box) and stressor

extent (purple box) estimates and relative and att ributable risk (teal box).

After appropriate indicators of condition and stress were determined from the data and calculated, each probability site was assigned to a condition or stressor class, based on the value of the indicator for that
site. For the in dicator of biological condition, each site was assigned to a good, fair, or poor condition
class. F or the metrics or indices describing the indicators of stress

, each site was assigned to a low, moderate, or high stress or level

. The thresholds values used to assign sites to the different condition
classes and stress or level s were defined using either a fixed or distribution based approach.

Fixed thresholds are based on accepted values from peer

- reviewed, scientific literature and are well

established a nd/or widely and consistently used by government agencies. An example of the latter is the World Health Organization (WHO) risk levels for recreational exposure to the algal toxin, microcystin. Fixed thresholds are also sometimes based on the best professi onal judgment of scientific analysts by incorporating field and research experience with other knowledge from the collective scientific community.

Distribution based thresholds are determined using the distribution of values of a particular index or
metric found at a designated set of reference sites. NWCA defines r eference a s “least

- disturbed condition” and used field data collected from probability sites and a dditional handpicked sites believed to be in reference condition to identify a set of reference s ites with the least amount of human
disturbance. D ata from this set of reference sites is then used to determine the distribution of values for
each indicator of condition or stress. The threshold values for good, fair, and poor condition, or low,
moderate , and high stress or level are set based on defined percentiles from the distribution of valuesChapter 2 Design of the NWCA

Octo ber 2015 25

National Wetland Condition Assessment 20 11 observed in the least disturbed sites (see text box below on “Use of Reference Site Approach” and NWCA 2011 Technical Report (USEPA 2015) ).

The good, fair, and poor condition classes and the low, moderate, and high stressor level s reported by NWCA have no regulatory implications and are not replacements for the evaluation of the quality of wetlands with respect to water quality standards set b y states and tribes.Chapter 2 Design of the NWCA

October 2015 26

National Wetland Condition Assessment 20 11 USE OF REFERENCE SITE APPROACH

To interpret the data collected by the NWCA field crews and to assess current ecological condition, scientists need to compare the collected data to benchmarks

— an estimate of what scientists would expect to find in wetlands with the best natural condition. Because it is difficult to estimate historical conditions for many indicators, the NWCA’s benchmark, or reference, is characteri zed as the “least

- disturbed condition”: the best available physical, chemical, and biological conditions given today’s state of the landscape. Least disturbed condition is defined based on data from sites selected according to a set of explicit screening c riteria. These criteria vary from region to region and among wetland types to account for differences in natural variability and anthropogenic disturbance across the American landscape*. For the NWCA, separate screening criteria
were defined based on combi nations of the NWCA Aggregated Ecoregions and Aggregated Wetland Types. The screening criteria were developed with the goal of identifying reference sites with the least amount of human disturbance for each reporting group (e.g., estuarine herbaceous wetla nds, Interior Plains inland woody wetlands). Reference criteria, in essence, allow identification of the set of sites with the least

- disturbed condition across the target population of wetlands.

The NWCA compares specific physical, chemical, and biological stressor data collected at each site to the reference site screening criteria to determine whether any given site meets the definition of least disturbed condition for its combined Aggregate Ecoregion/Wetland Type. The group of sites passing all the scree ning criteria are considered to be in reference condition. Good ecological condition and low stress or levels are characteristic of reference sites. These reference sites are then used to set thresholds against which the broader population of wetlands can b e compared and assigned to condition or stressor classes. The range of conditions found in the group of reference sites for an ecoregion describes a distribution of values expected
for least

- disturbed condition or stress. The thresholds used to define dist inct condition classes (e.g., good, fair, poor) or stressor level s (e.g., low, moderate, high) are drawn from this reference condition distribution. The 5 th percentile of the reference distribution was used to separate the sites in poor biological conditio n from those in fair. Similarly, the 25 th percentile of the reference distribution was used to distinguish between sites in fair biological condition from those assessed in good condition. For stressor classes, the 95 th percentile of the reference distribution was used to separate the sites considered to have high stress from soil phosphorus concentrations from those with moderate, and the 75 th percentile was used to separate the moderate and low
stressor classes.

This a pproach for establishing reference condition is well documented and consistent with current science, EPA guidelines, state practice, and established protocols for ecological assessment ( Bailey et al . 2004; Barbour
et al . 1999; Carter and Resh, 2013; Hughes , 1995; Reynoldson et al . 1997; Stoddard et al . 2006; and USEPA,
2011 d).

*Within the reference site distribution, there are two sources of variability:

Natural variability includes a wide range of habitat types naturally found within each ecoregion. Thi s range is captured in the reference sites representing those different habitats. For this reason, reference condition thresholds were set based on the distribution of least disturbed sites, rather than from a single site. Capturing natural variability in reference sites helps establish reference conditions that represent the range of natural environments in the ecoregions.

Human activities have altered habitats in the U.S., with natural landscapes transformed by cities, suburban and rural development, agri cultural development, and resource extraction. The extent of those disturbances varies across regions. Some reference sites are in watersheds with little to no evidence of human impact, such as mountain streams or rivers in areas with very low population d ensities. Others have been highly influenced by human activities. The least

- disturbed reference sites in regions with more human activity will usually have lower screening criteria than those in areas with little human disturbance.Chapter 2 Design of the NWCA

Octo ber 2015 27

National Wetland Condition Assessment 20 11 

### Evaluating Wetla nd Biol ogical Condition

Vegetation is a fu ndamental component of wetlands. T he composition and abundance of plant species at a site reflect and influence other ecological processes related to hydrology, water chemistry, and soil properties. Vegetation integrates different wetland processes and plants respond to physical, chemical, and biological disturbances . These properties make vegetation a particularly good indicator of wetland condition. Using field data describing species composition and abundance in combina tion with species trait information, numerous candidate metrics were developed and evaluated as potential components
of a Vegetation Multimetric Index (VMMI)

. A national

- scale VMMI was then developed as the indicator
of bio logical condition for the NWCA.

The VMMI is called a multimetric index because it combines more than one metric. After careful screening of many candidate metrics, four were chosen for inclusion in the VMMI :

 A Floristic Quality Assessment Index (FQAI),

 Relative Importance of Native Plant Species,

 Number of Plant Species Tolerant to Disturbance, and

 Relative Cover of Native Monocot Species.

Each metric in the VMMI is based on combinations of data types describing species composition (identity and/or abundance) and species traits. These met rics were chosen because they 1) best reflect

eco logical condition of wetlands across the conterminous U

. S

. for the different NWCA Aggregated Ecoregions and NWCA Aggregated Wetland Types, 2) detect differences between the least and most

disturbed sites, an d 3) were not strongly related to one another (see NWCA 2011 Technical Report (USEPA 2015) ). Each metric is scored from 0 to 10 for consistency in scaling the metric value ranges.
VMMI values are scaled from 0 to 100.

The FQAI is often considered as a stan dalone index for describing floristic quality, but is used here as one metric contributing to the VMMI. It captures information about plant community composition based upon all unique plant species occurring at a given site and a value given to each plant species based on its sensitivity to human

- mediated disturbance. This value is known as the Coefficient of
Conservatism or C

- value. C

- values range from 0 to 10 where a value of 0 is assigned to plant species that
occur in highly disturbed habitats and a sco re of 10 is assigned to species found only in minimally
disturbed habitats. C

- values may vary by state or region to account for natural differences in habitat and plant community composition. C

- values were compiled from existing state and regional lists of values, or, for states and regions where lists did not exist, by assigning values based on those of ecologically similar neighboring states or regions.

The second metric in the VMMI is the Relative Importance of Native Plant Species . Relative importance

c ombines information on how much of the sampling location is covered by native wetland plants in relation to all plants present (e.g., relative cover) and how many occurrences of native plant species there are across a site compared to the number of all pla nt species occurrences (i.e., relative frequency). Native status of a given species

- site occurrence was based on whether the species was indigenous to the state in which the sample site was located. As disturbance at a site increases, the native plant

comm unity is often altered

— a change that is often related to declining condition.

The Number of Plant Species Tolerant to Disturbance is the third metric in the VMMI. The number of tolerant species increases with increasing disturbance, indicating a potential shift in plant community dynamics. Such a shift could reflect competitive pressure or other stress to disturbance

- intolerantChapter 2 Design of the NWCA

October 2015 28

National Wetland Condition Assessment 20 11 species that are often indicative of good ecological condition. C

- values are used to describe sensitivity or tolerance of plant spe cies to disturbance. Tolerance can be indicated by the presence or abundance of plant species with low C

- values. S pecies tolerant to disturbance are defined in NWCA as those with a C

value of 4 or less.

Finally, the fourth metric in the VMMI is the Relative Cover of Native Monocot Species . Monocots are one of two groups into which flowering plants are divided. They are common to many wetland types, and are represented by plants like grasses, sedges, rushes, lilies, irises, orchids, etc. Native monoco ts represent dominant natural components of many emergent (non

- woody) wetland types. In other wetland types, they may reflect species that are indicative of relatively undisturbed conditions.

The final VMMI score is calculated based on the combination of v alues for all four metrics for each site, with the overall value indicating the level of bio logical condition. Good, fair, or poor condition thresholds were set using a distribution

- based approach based on the VMMI values for reference sites (see “Use of R eference Sites” text box ) in each combination of NWCA Aggregated Ecoregion by NWCA Aggregated Wetland Type. The 5th percentile of the reference distribution for each NWCA Aggregated Ecoregion and NWCA Aggregated Wetland Type combination was used to separat e the sites in poor condition from those in fair condition. Similarly, the 25th percentile of the reference distribution wa s used to distinguish between sites in fair condition and those assessed as being in good condition (Figure

2

- 5). Specific threshold values for each NWCA Aggregated Ecoregion and NWCA Aggregated Wetland Type combination are provided in the NWCA 2011 Technical Report (USEPA 2015)

.

Figure 2

- 5

. Criteria for setting VMMI thresholds for good, fair, and poor condition classes based on VMMI values observed for Least Disturbed (Reference) sites.Octo ber 2015 29

National Wetland Condition Assessment 20 11 

# Highlight

Wisconsin’s Intensification Study: A Floristic Characterization of Wetlands in Eastern
Wisconsin Thomas Bernthal, Wisconsin Department of Natural Resources

Overview: Plant community composition can provide a detailed picture of wetland health, and the differences between a pristine and a degraded habitat may be partially characterized by looking at the presence and abundance of plant species. The main objective of the Wisconsin intensification study was to compare the Floristic Quality Index (FQI) currently used with an adjusted index to determine if it may be a better predictor of wetland ecosystem health.

Main Story: The Wisconsin Department of Natural Resources (DNR) chose to do a more intensive study of wetlands in the Lake Michigan basin of Eastern Wisconsin. As part of the 2011 NWCA, 34 unique sites were sampled in Wisconsin, 12 of which were in the Lake Michigan basin. An additional 38 sites were sampled in 2012 for the intensification project, for a total of 50 sites in the project area (Figure 1).

Using vegetation data collected at each site, the Wisconsin DNR employed a Floristic Quality Assessment (FQA) framew ork to examine wetland health. The FQA uses species richness or the number of different species present (N) and the Coefficient of Conservatism (C) to calculate the Floristic Quality Index (FQI). The C is an assigned number between 0 and 10 for each plant species, which reflects the response to disturbance. A species that is considered tolerant of disturbance is assigned a lower C value. Conversely, a species that disappears from a community following a disturbance is given a higher C value. Invasive specie s are assigned a C value of 0.

A plant community with a high species count scores well on a FQI. In some habitats this high FQI score may not be indicative of healthy natural conditions, as excess nutrients like phosph o rous and nitrogen
can stimulate exces sive plant growth and increase the number of plant species leading to an impaired community. Though these nutrients are basic building blocks of plants and are needed in a wetland plant community, in high concentrations these nutrients can degrade wetlands

. Figure 1. Intensification study project area in eastern
Wisconsin.October 2015

30

National Wetland Condition Assessment 20 11 To counter the inflating effects of species richness on the FQI, the Wisconsin DNR employed a weighted mean Coefficient of Conservatism metric ( wC ̅ ). This weighted metric accounts for species abundance, which may allow for a better picture of the composition of a plant community.

What They Found : The main objective of the study was to compare C ̅ and w C ̅ to determine which method would give a more accurate assessment of wetland ecological condition when incorporated into the FQI. Figure 2 shows com parison boxplots of the calculated C ̅ and w C ̅ for the wetland community types sampled in the intensification study, including Palustrine Emergent (PEM), Palustrine Forested (PFO) and Palustrine Shrub/Scrub (PSS). The PEM showed the greatest difference be tween C ̅ and w C ̅

. Among the other community types (PFO and PSS), where sampled wetlands were not dominated by invasive graminoid (i.e.

, grass or grass

- like plant) species as often, the differences between C ̅ and w C ̅ were less pronounced.

Wisconsin found that lower w C ̅ values were correlated with an increase in the relative cover of invasive graminoids, (R 2 =0.754), including reed canary grass ( Phalaris arundinacea ), hybrid cattail ( Typha x glauca ), narrow

- leaf cattail ( Typha angustifolia ), and common reed ( Phragmites australis ). They found
that the w C

̅ metric was especially useful for capturing differences between sites with sparse invasive plant populations and sites overrun by invasive species. More PEM sites were dominated by invasive reed canary grass or hybrid cattail stands than in the other community types, which could explain the
difference between C

̅ and w C ̅ for the PEM wetlands, as noted in Figure 2.

Although w C

̅ is a useful way to describe some wetland plant communities in Wisconsin, it may no t be the best metric for all communities. The conventional methods of calculating the FQI using C ̅ may be better suited for communities that are characteristically more species

- rich, such as cedar swamps. Communities that tend to be naturally species

- poor, such as bogs or muskegs, may be better characterized by using
the w C ̅ . The conventional FQI used by Wisconsin currently and the adjusted index using w C ̅ were found to be valuable metrics to describe the vegetation condition in wetlands. Scientists and w etland managers may use the plant community attribute information gained in this intensification study in order to better evaluate Wisconsin’s wetlands based on vegetation condition.

To learn more, contact Thomas Bernthal ( Thomas.Bernthal@wisconsin.gov ), Wisconsin Department of
Natural Resources.Chapter 2 Design of the NWCA

Octo ber 2015 31

National Wetland Condition Assessment 20 11 

### Evaluating Indicators of Stress

Indicators of stress are physical, chemical, or biological factors that have the potential to reflect anthropogenic imp acts on wetland ecological condition. Indicators of stress do not necessarily directly cause ecological decline, but are often associated with changes in wetland condition

. NWCA evaluated the extensive set of data collected in the field to identify and dev elop appropr iate indicators of stress and quantify their national and regional extents. While these are expected to be associated with effects on wetland condition, the exact relationship cannot be explicitly determined from the data collected in
NWCA. For simplicity of language, in this report “indicators of stress” are also referred to as “stressors.”

It was not possible to evaluate all potential stressors affecting wetland condition. NWCA 2011 i ndicators
of stress are derived from field data collecte d at the site

- level within the assessment area and the 100
meter buffer immediately surrounding it. Due to this, potential e ffects on condition from stressors occurring outside of th e vicinity of the assessment area and buffer may not be fully considered i n the NWCA reported results and could have significant influences on wetland condition.

Six physical, three chemical, and one biological indicator of stress were developed for the NWCA report

. The following sub

- sections summarize the development of the ind icators pertaining to each of these three categories.

Physical Indicators of Stress

Wetlands can be impacted by human

- mediated activities that cause physical changes to wetland systems. These may be stressors that are occurring in the wetland itself or man y miles away. Due to the limitations of the survey, NWCA 2011 focused on physical stressors occurring in the assessment area and in the area immediately surrounding the assessment area (i.e., buffer). Physical indicators of stress include vegetation altera tions that occur through removal or replacement, or hydrologic alterations that occur through damming, ditching, surface hardening, filling or erosion. These alterations can disrupt
wetland structure and function

. Data reflecting indicators of physical str ess were evaluated as part of the hydrology and buffer protocols both within the wetland assessment area and the 100 m eter buffer immediately surrounding it. The i ndicators evaluated were placed into different stress indicator groups based on whether they resulted primarily in vegetative or hydrologic alteration to a wetland.

Vegetation alteration included two indicators of stress:

• Vegetation Removal

– any field observation related to loss, removal, or damage of vegetation (e.g., mowing/shrub cutting, herbi cide use, highly grazed grasses, recently burned forest); and

• Vegetation Replacement

– any field observation of a change in the plant species present due to anthropogenic activities (e.g., tree plantation, nursery, golf course, lawn/park, row crops,
pastur e/hay, rangeland).

Changes in vegetation at the sampling site and the surrounding ar ea can indicate effects of activities
that c ould impact the ecological condition of the wetland

. Removal of vegetation may increase sediment, nutrient, and pollutant loads enter ing or residing in a wetland. Replacement reflects conversion from one vegetation type to another in the buffer and assessment area and can decrease biodiversity, simplify the vertical structure, and reduce habitat quality on the site. Not all instances of vegetation removal or replacement (e.g., moderate grazing by native wildlife, natural wildfire regimes in ecosystems adapted to fire) result in stress to a wetland or poor ec ological condition. T he relationship between vegetation alteration stressors and biological condition as indicated by the VMMI are evaluated through the concepts of relative and attributable risk later in the report.Chapter 2 Design of the NWCA

October 2015 32

National Wetland Condition Assessment 20 11 Hydrologic alteration included four ind icators of stress:

• Damming

– any field observation related to impounding or impeding water flow from or within the site (e.g., dikes, dams, berms, railroad beds);

• Ditching

– any field observation related to draining water within the site (e.g., ditches, corrugated pipe, excavation

- dredging);

• Hardening

– any field observation related to soil compaction, including activities and infrastructure that primarily result in soil ha rdening (e.g., parking lots, suburban residential development, roads , pavement ); and

• Filling/Erosion

– any field observation related to soil erosion or deposition (e.g., soil loss/root exposure, fill/spoil banks, freshly deposited sediment).

Changes in how water moves in or out of a wetland, or water levels within the wetland resulting from hydrologic alterations can affect plant productivity, nutrient cycling in the soil and water, and the physical habitat, thereby impacting the overall ecological conditio n of the wetland. For example, a nearby parking lot or impervious surface could increase the volume of water entering the wetland. Higher water tables may limit the plant species that can grow in the wetland.

S tress

- level thresholds were established for ea ch stressor group ( vegetation alteration and hydrologic
alteration ) and applied to each individual indicator of stress (see NWCA 2011 Technical Report (USEPA 2015) ). Thresholds reflecting low stress were set to indicate the complete absence of the given ph ysical indicator of stress at the site. Thresholds reflecting high stress were set using best professional judgment . Indicator values between the established low and high threshold levels were placed into the
moderate stress class. These thresholds were us ed across all NWCA sites (See Table 2

- 6 for a complete list of indicators and summary information on how thresholds were set)

.

Chemical Indicators of Stress

Chemical stressors that can impact the ecological condition of wetlands include excess nutrients, m etals, organic toxins, and other chemical compounds that can disrupt nutrient cycles, affect plant and animal growth, and be detrimental to human health. Two chemical indicators of stress were developed for NWCA using data from soil samples collected at ea ch site : a Heavy Metal Index and soil phosphorus
concentration . Another potential indicator of stress, m icrocystin (an algal toxin), was evaluated based on concentrations from a composite sample of surface water and alga l scrapings from vegetation stems and
leaves.

The Heavy Metal Index , developed for the NWCA as a chemical indicator of stress, was comprised of 12 different heavy metals closely associated with anthropogenic activities : antimony (Sb), cadmium (Cd),
chromium (Cr), cobalt (Co), copper (Cu), lead (Pb), nickel (Ni), silver (Ag), tin (Sn), tungsten (W), vanadium (V), and zinc (Zn). Stress

- level thresholds were set for each metal using published estimates of natural background concentrations and best professional judgment (Table 2

- 3 ) . It should be noted that the thresholds established for heavy metals do not reflect toxicity; rather, they are indicators of human disturbance. Sites where all 12 metal concentrations were equal to or below the stress

- level threshold

e stablished for each metal were placed into the low stress

- level class. Sites where three or more metal
concentrations were above the stress

- level thresholds were placed into the high stress class. Sites not placed into either the low or high stress

- level c lasses were put into the moderate stress class. The same
thresholds were used across all NWCA sites.Chapter 2 Design of the NWCA

Octo ber 2015 33

National Wetland Condition Assessment 20 11 Table 2

- 3 . Heavy m etals included in the Heavy Metal Index as a chemical indicator of stress. Natural backgro und concentrations are based on Alloway (2013). Thresholds were set based on natural background concentration and best professional judgment

.

Metal Primary Anthropogenic

Association Natural Background Concentration (mg/kg) Stress

- Level
Threshold (mg/kg)

Silver (Ag) Industry 0.05

– 1.00 1.0

Cadmium (Cd) Agriculture 0.1

– 1.0 1.0

Cobalt (Co) Industry < 50 25

Chromium (Cr) Industry 0.5

– 250 125

Copper (Cu) Agriculture / Industry / Roads 2

– 50 50

Nickel (Ni) Industry / Agriculture 0.2

– 450 225

Lead ( Pb) Roads / Industry Mean of 18 35

Antimony (Sb) Industry 0.1

– 1.9 1.0

Tin (Sn) Industry / Agriculture 1.7

– 50 17

Vanadium (V) Industry / Roads 36

– 150 150

Tungsten (W) Industry / Agriculture < 2 2.0

Zinc (Zn) Industry / Agriculture 10

– 150 150

Soil phosphorus concentrations were measured from samples collected at each site. Naturally

- occurring soil phosphorus concentrations vary widely across wetlands due to differences in soil types, wetland types, climate, and other factors. S oil phosphorus co ncentration can also be influenced by and reflect human activity on the landscape. No nationally

- accepted soil phosphorus criteria exist to assign stress classes. Therefore, NWCA used a distribution

- based, or reference site approach, paralleling that of th e VMMI, to set soil phosphorus concentration stress classes for each combination of NWCA Aggregated Ecoregion by NWCA Aggregated Wetland Type (see “ Use of Reference Site Approach ” text box ). Soil phosphorus concentrations above the 95th percentile of refer ence sites were considered to have high stress, while those below the 75th percentile of reference sites were considered to have low stress ( Table 2

- 4

, see NWCA 2011 Technical Report (USEPA 2015) for further details).Chapter 2 Design of the NWCA

October 2015 34

National Wetland Condition Assessment 20 11 Table 2

- 4 . Soil p hosphorus concentration thresholds as chemical indicators of stress. Stress

- level thresholds were set for
estuarine wetland type s nationally and for inland wetland types by NWCA Aggregated Ecoregion based on the 75th p ercentile (low stress) and 95th percentile (high stress) of reference sites for the group.

NWCA Reporting Group (NWCA Aggregated Ecoregion
, Wetland Type) “Low” Threshold (mg P/kg soil) “High” Threshold

(mg P/kg soil)

Estuarine ( Herbaceous and Woody ) ≤ 519 > 969

Coastal Plains (Inland Herbaceous and Woody ) ≤ 582 > 1

, 180

Eastern Mountain and Upper Midwest (Inland
Herbaceous and Woody ) ≤ 914 > 1

, 280

Interior Plains (Inland Herbaceous and Woody ) ≤ 1

, 110 > 1

, 810

West (Inland Herbaceous and Woody ) ≤ 1

, 140 > 2

, 090

Microcystin is a toxic substance produced by cyanobacteria, a group of micro be s also called blue

- green algae. Cyanobacteria are a natural part of aquatic ecosystems, but under certain environmental
conditions , can proliferate into algal blooms that can be unsightly, smelly, and in some instances cause severe health issues for wildlife, people, and domestic animals

. EPA collected samples and tested them for the presence and concentration of microcystin. The results are categorized using a fixed thres hold approach based on recreational exposure guidelines established by the World Health Organization (Table 2

- 5 ). C oncentrations of microcystin have not been previously documented over a spatial area or for as many wetland types as sampled in the NWCA, con sequently, more research is likely to be needed to appropriately interpret how these results relate to wetland
condition.

Table 2

- 5

. World Health Organization t hresholds of r isk a ssociated with e xposure to m icrocystin

.

Indicator (units) Low Risk of Exposure Moderate Risk of Exposure High Risk of

Exposure

Microcystin ( μ g/L) < 10 10

- ≤ 20 > 20

Biological Indicators of Stress

EPA used the presence and abundance of nonnative plants to develop a biological indicator of stress. Nonnative plants are often related to human

- mediated disturbance, and can also be direct or indirect stressors to wetland ecosystems by competing with or displacing native plant species or communities, or by altering wetland structure and processes.

The Nonnative Plant Stressor Indicator (NPSI) was developed for the NWCA using collected plant data and information describing the native status of each species (see NWCA 2011 Technical Report (USEPA 2015) for definition of nonnative plant c oncepts). The NPSI included three complementary nonnative species metrics that describe different avenues of potential impact to ecological condition:

• Relative Cover of Nonnative Species

• Richness of Nonnative Species (number of unique nonnative species)

• Re lative Frequency of Occurrence of Nonnative SpeciesChapter 2 Design of the NWCA

Octo ber 2015 35

National Wetland Condition Assessment 20 11 Relative Nonnative Cover reflects preemption of space and resources, changes in species composition, and alteration of ecosystem processes. Higher values are often associated with decreases in ecological
condition. Total Richness of Nonnative Species can be an indicator of potential risk for ecological impact; greater numbers of individual nonnative plant specie s increases risk that one or more may be or become invasive or cause ecosystem alterations. Grea ter Relative Frequency of Occurrence of Nonnative Species reflects increasing numbers of locations for further nonnative incursions and a decreasing proportion of the species composition that is native.

These three metrics are used together to assign low, moderate, high, and very high stress levels for the
NPSI. Stress

- level thresholds were set for each metric in the NPSI using best professional judgment. The addition of a “very high” stressor class was m ade because of the greater range in values for this stressor indicator compared to other stressor indicators. The same threshold values were used across all NWCA sites (see NWCA 2011 Technical Report (USEPA 2015) for details on NPSI development and applica tion).Chapter 2 Design of the NWCA

October 2015 36

National Wetland Condition Assessment 20 11 Table 2

- 6 . Summary of NWCA 2011 indicators of condition and stress and information on how thresholds were set.

Indicator Reference Approach General Assessment Notes Biological Condition

V egetation MMI Regionally specific ( NWCA ecoregion / wetland type)
distribution

- based
threshold Data on specific plants and abundance collected from five plots systematically distributed in assessment area. Index developed based on species composition (presence and abundance) and species traits.

Indicators of Stress Physical

– Vegetation Alteration:

Veg etation Removal

Nationally consistent
fixed threshold Field observations related to loss, removal, or damage of vegetation (e.g., mowing / shrub cutting, herbicide use, highly grazed grasses, recently burned forest) collected from plots systematically distributed
in assessment area and 100 meter buffer area.

Veg etation Replacement Field observations of a change in the plant species present due to anthropogenic activities (e.g., tree plantation, golf course, lawn/park, row crops, pasture/hay, rangeland) collected from plots systematically
distributed in assessment area and 100 meter buffer area. Physical

– Hydrologic Alteration:

Damming

Nationally consistent
fixed threshold Field observations related to impounding or impeding water flow (e.g., dikes, dams, berms, railroad beds) collected in the assessment area and from plots systematically distributed in the 100 meter buffer area.

Ditching Field observations related to draining water within the site (e.g., ditches, corrugated pipe, excavation

- dredging) collected in the assessment area and from plots systematically distributed in the 100
meter buffer area.

Hardening Field observations related to soil compaction, including activities and infrastructure that primarily result in soil hardening (e.g., roads,
suburban residential development, pavement) collected in the assessment area and from plots systematically distributed in the 100
meter buffer area.

Filling/Erosion Field observations related to soil erosion or deposition (e.g., soil loss/root exposure, fill/spoil banks, freshly deposited sediment) collected in the assessment area and from plots systematically
distributed in the 100 meter buffer area

. Chemical : Heavy Metal Index Nationally consistent
fixed threshold Samples collected from upper 10 centimeter of soil in the assessment area. Measured concentrations compared to thresholds based on background concentrations of heavy metals. Soil Phosphorus Regionally specific (NWCA ecoregion)
distribution

- based
threshold Samples collected from upper 10 centimeter of soil in the assessment area. Measured concentrations compared to thresholds based on
reference sites.

Microcystin Nationally consistent
fixed threshold Samples collected from surface water, sediment, and vegetation surfaces. Measured concentrations compared to World Health Organization ( WHO ) algal toxin threshold for recreation. Biological :
N onnative P lant
S tressor I ndex Nationally consistent
fixed threshold Data on specific plants and abundance collected from five plots systematically distributed in assessment area. Index developed based on species composition (presence and abundance) and species traits.Chapter 2 Design of the NWCA

Octo ber 2015 37

National Wetland Condition Assessment 20 11 

## Estimating the extent of wetland area for condition classes or stress

- level
classes

The NWCA 2011 results presented in the subsequent chapters of the report are calculated by estimating
the extent of wetland area in each of the different condition classes or stress or level s established for
each in dicator

. The process used to accomplish this is briefly described below for the NWCA indicators of condition and stress. More detailed information is provided in the NWCA 2011 Technical Report (USEPA 2015 ).

Condition : There are three different classes to d escribe wetland condition : good, fair, and poor. The VMMI thresholds for each condition class are used with site weights to calculate extent estimates of wetland area in good, fair, and poor condition using a two

- step process:

1) Each NWCA probability site is assigned good, fair, or poor bio logical condition based on its VMMI value and the thresholds appropriate to the site.

2) Next, the site weights from the probability design, which reflect the number of acres each site represents across the total population of NWCA Target Wetland Types, are summed within condition class to estimate the wetland area in good, fair, and poor condition.

In Figure 2

- 4, this process is illustrated by the arrows between the Vegetation Data, VMMI, and Wetland
Condition Extent Estimate boxes. The survey design also allows evaluation of the statistical certainty of
these condition estimates.

Stress : For each stress indicator, its designated threshold values are used to assign a low, moderate, or high stress level to each site. An additional stress

- level of very high was designated for the Nonnative
Plant Stressor Index. The process for estimating the extent of wetland area with low, moderate, high , or very high stress for each of the NWCA indicators of stress, parallels the app roach used for making condition estimates. In Figure 2

- 4, this process is illustrated by the arrow between each group of
indicators of stress and the Stressor Extent Estimate box.



## Other data collected as part of NWCA 2011 but not reported in n ational and

r egional r esults

Water Chemistry

The NWCA 2011 survey is the first national

- scale survey of wetland surface water chemistry. Water chemistry data were collected for chlorophyll

- a, conductivity, ammonia, nitrate

- nitrite, total nitrogen, total phosphorus, and pH. Water temperature and dissolved oxygen levels also were measured at some sites at the option of the states involved. The objectives of the NWCA water chemistry data analyses were to examine the extent to which water chemistry could be sampled and eval uated across different wetland types , to explore any patterns found in water chemistry for wetlands across the nation and relate them to possible classification variables and natural and anthropogenic drivers, and to generate recommendations concerning fur ther research and protocols for future NWCA assessments

. Water chemistry samples could only be collected from approximately 55 % of the sites sampled in NWCA
2011 due to a lack of sufficiently deep standing water at the sampling site

. This confounded effort s to assess and report results for the water chemistry data using the analytic approaches adopted by NWCA
2011 for its core data indicators. For this reason, water chemistry results are not presented in the NWCAChapter 2 Design of the NWCA

October 2015 38

National Wetland Condition Assessment 20 11 2011 report. Analysis and interp retation of the data collected is discussed in the NWCA 2011 Technical

R eport (USEPA 2015) and

, as opportunities arise, will be further disseminated through s cientific journals

. 

### Algae Species Data

NWCA 2011 collected composite algae samples from the water column, sedi ment, and vegetation surfaces at sites with standing water greater than 15 centimeters deep and sites that had evidence of recent inundation. Samples were analyzed to characterize the algal communities present at sites and to investigate relationships betw een certain communities and ecological condition of wetlands. Though algae taxonomic data were obtained from approximately 80% of the sites sampled in NWCA 2011, issues with data consistency arising from sample collection in the field and taxonomic identif ication in the lab raised questions about the efficacy of evaluating wetland condition using this algae species data for the NWCA 2011 report.Octo ber 2015 39

National Wetland Condition Assessment 20 11 

# Highlight

Nebraska’s Intensification Project: Impacts of Land Use and Management on Wetland Condition Ted LaGrange, Nebraska Game and Parks Commission

Overview and Goals: Through the intensification project, participating state, federal, and regional agencies wanted to learn more about 11 priority landscape regions in the state of Nebraska. Most of these regions have
been identified in the state’s Wildlife Action Plan as B iologically Unique Landscapes, and the information gained from the project will help direct conservation and management efforts in these key landscapes found in Nebraska and throughout the Great Plains.

Since settlement, Nebraska has lost an estimated 35% of its total wetland area due to land

- use conversion, and 97% of the remaining wetlands occur on private lands. In the Rainwater Basins (an important region within the Central Flyway as a major bird migration route in North America), wetland losses may be as high as 90%. In order to obtain more data on these important and diverse wetland habitats, an intensified sampling effort was conducted in 11 wetland complexes in Nebraska. This included isolated playa wetlands in landscapes dominated by row

- crop agricu lture in the Rainwater Basin, Central Table Playas, and Southwest Playas; wet meadows and freshwater and alkaline marshes in the Nebraska Sandhills (includes the Elkhorn River Headwaters, Cherry County Sandhills Wetland, and Sandhills Alkaline Lake regions ); wet meadows and alkaline wet meadows located along the North Platte (Western Alkaline), Platte (Central Platte), and Niobrara Rivers; Eastern Saline wetlands located near Lincoln, NE; and forested wetlands along the lower Missouri River (Figure 1).

Information Collected: 109 sampling locations were visited across the 11 regions during the growing seasons
of 2011

- 2013. At each site, Level 1, 2, and 3 assessment data were collected using the 2011 NWCA protocols.

Figure 1. P riority landscape regions identified for the intensification project.October 2015

40

National Wetland Condition Assessment 20 11 As part of the study, the team developed the Nebraska Wetland Rapid Assessment Method (NeW_RAM), which was tested at 40 of the sites in 2013 and compared to Level 3 assessments. Additionally, amphibian community sur veys were conducted at 125 sites in the Rainwater Basin complex with the goal of developing a sampling protocol for long

- term amphibian community monitoring and to assess how wetland management practices might affect the presence and health of frog and toa d species. Wetlands surveyed for amphibians were grouped according to land use: Wildlife Management Areas (WMA), Waterfowl Production Areas (WPA), Wetlands Reserve Program (WRP), privately owned wetlands, and agricultural reuse pits.

What They Have Learned : Sample processing and data analysis is still underway, but preliminary results have already provided useful information about wetland condition across landscape regions in Nebraska. The draft NeW_RAM, developed in early 2013, was used at 40 sites sampled in 2013. Overall, the NeW_RAM worked well in the field and showed good agreement with level 3 measurements, including the FQAI. It is hoped the NeW_RAM will be a useful tool for agencies and organizations to quickly assess wetland condition, improving
Neb raska wetland protection and restoration efforts.

Differences in wetland vegetation condition, measured by the FQAI, varied among landscape regions and with respect to reference condition within each region (Figure 2). Given the high diversity of Nebraska ’s wetlands, reference wetland FQAI scores may be very different in each of the regions, and direct comparisons of FQAI scores between regions may not be appropriate.
Within each region, high and low FQAI scores with respect to reference condition may be linked to land use. In regions where sites scored well below reference, high quality sites m ay no longer exist on the landscape due to historical and contemporary land use change or disturbance. Two of the lowest scoring regions, the Southwest Playas (SWP) and Central Table Playas (CTP), included shallow playa wetlands in areas dominated by inten sive agriculture and recently affected by a period of extreme drought. Low scores were also observed in wetlands along the lower Missouri River (MR), which had been highly altered during historic flooding in 2011. Slightly higher FQAI scores (although stil l below reference condition) were documented in the Western Alkaline (NPR) and Eastern Saline (SAL) regions, both areas that have been altered, but where some restoration efforts have occurred. The Central Platte (CP), Sandhills Alkaline Lakes (SALK), Rain water Basin (RWB), Niobrara River (NR), Cherry County Sandhills Wetlands (CCWM), and Elkhorn River Headwaters (EHW) regions have large areas of unmodified land or have been the focus of intensive management and conservation efforts. FQAI scores in these re gions tended to be closer to the reference standard, evidence that current management practices are effective in maintaining and restoring wetland condition. This project is providing baseline data of wetland condition within these regions of Nebraska, and offers insight towards the direction of future
conservation efforts within the state.

Seven species of frogs and toads were observed at wetlands sampled in the Rainwater Basin, including the Chorus Frog, Pseudacris maculata

. Figure 2. Floristic Quality Assessment Index (FQAI) scores for each of the wetland complexes studied. The top and bottom of the boxes show the
75 th and 25 th percentile of scores and the line inside the box represents the median score for each region. Reference stan dard condition FQAI scores for each landscape region are shown as red dots.

Chorus Frog ( Pseudacris maculata )

.Octo ber 2015 41

National Wetland Condition Assessment 20 11 While data analysis is conti nuing, a few general trends have started to emerge. Differences in amphibian species diversity among wetlands within WMAs, WPAs, WRP land, and privately owned land seem to be minimal, but somewhat lower species diversity has been observed in the agricultur al reuse pits. This may suggest that many of the amphibian species are generalists, adaptable to any habitat with water, but prefer actual wetlands over the agricultural reuse pits. Once data analysis is complete, researchers hope to have a
better idea of how land use impacts amphibian communities. The team hopes to continue monitoring amphibian communities in wetlands within the Rainwater Basin to document community trends and develop a long

- term data set.

To learn more, contact Ted La G range ( ted.lagrange@nebraska.gov ; 402

- 471

- 5436), Nebraska Game and Parks
Commission.

Nebraska’s Intensification Project was a joint effort among the Nebraska Game and Parks Commission, the University
of Nebraska

- Lincoln, U

. S

. EPA, U

. S

. Fish & Wildlife Service, U

. S

. Army Corps of Engineers, Natural Resources Conservation Service, U

. S

. Geological Survey, Nebraska Department of Environmental Quality, the Rainwater Basin Joint Venture, the Playa Lakes Joint Venture, the Saline Wetland Conservation Partnership, and The Nature
Conserva nc y.Octo ber 2015 42

National Wetland Condition Assessment 20 11 

## Chapter 3: National Results

The goal of the CWA is to restore and maintain the “chemical, physical, and biological integrity” of the nation’s wat ers. NWCA examines these three aspects of the ecological quality of aquatic systems through a set of commonly used and widely accepted indicators. It does not include all aspects of ecological integrity or all possible chemical, physical, or biological str essors known to affect wetland systems.

This chapter presents the results from the NWCA 2011 using : 1) an indicator of bio logical condition, 2) physical, chemical, and biological indicators of stress, and 3) a ranking of the relative importance of the

stre ssors in affecting biological condition. Results for each indicator are shown for wetlands nationally and for the four NWCA Aggregated Ecoregions established for reporting. Regional results are presented in Chapter 4.

Results for wetland condition are estimates of the extent of wetland area (presented as percent area
and numbers of acres) in three condition classes (good, fair, and poor). Results for the indicators of stress are presented as estimates of the percent wetland area in a particular stress or

- level class (generally, low, moderate, and high). See Chapter 2 of this report, and the NWCA 2011 Technical Report (USEPA 2015) for details on how these estimates are made. The estimated wetlan d area results are often referred to as population estimates, and each estimate is accompanied by a confidence interval that conveys the level of certainty or confidence in the est imate (see text box es “ H ow to R ead and

I nterpret NWCA R esults F igure s” and “ Confidence Interval” below ).

HOW TO READ AND INTERPRET NWCA RESULTS FIGURESChapter 3 National Results

Octo ber 2015 43

National Wetland Condition Assessment 20 11 

## Biological Condition Based on Vegetation MMI

Vegetation is a major component of the bio diversity found in wetlands and also provides habitat for a broad range of micro be s, insects, amphibians, reptiles, birds, and mammals. The composition and abundance of plant species reflects, as well as influences, the hydrology, water chemistry, and soil properties of wetlands. Vegetation is a particularly good indicator of wetland condition because of its ability to integrate different wetland processes and because plants respond to physical, chemical, and biological disturbances at multiple temporal and spatial scales. Using field collected data and plant trait information, a national Vegetation Multimetric Index (VMMI) was developed. (See Chapter 2 in this document, and the NWCA 2011 Technical Report (USEPA 2015) for more details). The VMMI serves as
the indicator of bio logical condition for the NWCA.

The condition of wetlands at national and ecoregional scales is shown in Figure 3

- 1

. This figure presents both the percentage of wetland area and the number of wetland acres in different condition classes (good, fair, and poor). The NWCA found nationally, 48% of the wetland area (29,998,957 acres) is in good condition, while 20% (12,179,91 5 acres) is in fair condition . The remaining 32% (19,977,327 acres)
of the wetland area is in poor condition

. CONFIDENCE INTERVALS

Confidence intervals convey the level of certainty or confidence in the estimates presented in this report. For example, for the VMMI, NWCA found that 48% of the nation’s assessed wetland acres are in g ood condition, with a confidence interval of +/

- 5%. This means that there is a 95% certainty that the real value is between 43% and 53%. The confidence interval is influenced by the number of sites sampled. As more wetland sites are sampled, the confidenc e interval becomes narrower, meaning there is more confidence in the findings. Figure
3

- 1 shows an example of this pattern, in which the confidence interval for the national results (the largest sample size) is narrowest, whereas the confidence intervals f or the NWCA Aggregated Ecoregions (smaller sample sizes), are generally broader. Ultimately the number of sites sampled is a tradeoff between the need for increased certainty to support management and policy decisions, and the cost in money and resources t o perform more extensive monitoring activities. Note, confidence intervals are shown in the results figures for all NWCA population estimates presented in this report.Chapter 3 National Results

October 2015 44

National Wetland Condition Assessment 20 11 Figure 3

- 1 . Estimated extent of wetland bio logical condition by condition classes (good, fair, p oor) based on the VMMI. Results are reported for the n ation and by NWCA Aggregated Ecoregion.

The regional results apply to specific NWCA Aggregated Ecoregions, and care must be taken when comparing results across the four ecoregions. It is important to note that the level of human

- mediated disturbance for reference (least disturbed) sites varied by region and wetland type. For example, in the
Interior Plains and West , reference sites have the highest level of disturbance

. R eference sites for
estuarine we tlands, which are predominantly found in the Coastal Plain, have the lowest level of
disturbance. See NWCA 2011 Technical Report (USEPA 2015) for details.

Wetland area varies significantly among the NWCA Aggregated Ecoregion s . For example, in the NWCA

surv ey, the West represents only 6% of the total assessed wetland area of the target wetland types sampled across the country. In the West

, 6 1 % of the wetland area (2,214,806 acres) is in poor condition

, representing a major proportion of the wetland area for that ecoregion , but a small proportion of the total wetland area nationally. The West has 21% and 18% of wetland area (782,525 and 649,729 acres) in good and fair condition, respectively.

The Coastal Plains, Eastern Mountains and Upper Midwest, and Interio r Plains have a range of 44% to 52% wetland area in good condition. The Eastern Mountains and Upper Midwest has 11% of wetland

area (2,117,215 acres) in fair condition and 37% (7,462,851 acres) in poor condition. In the Coastal Plains, 21% of wetland area (6,620,942 acres) is in fair condition and 29% (8,808,894 acres) is in poor condition. In the Interior Plains, 36% of wetland area (2,792,028 acres) is in fair condition while 19% (1,490,777 acres) is in poor condition

.Chapter 3 National Results

Octo ber 2015 45

National Wetland Condition Assessment 20 11 As future NWCA surveys are implement ed, we will be able to use the 2011 results as a point of comparison to track whether wetland areas are getting better (i.e., moving to good condition) or worse (i.e., moving to poor condition) within each aggregated ecoregion

.



## Indicators of Stress

T he NWCA also includes measurements of indicators of stress , which are physical, chemical, and biological factors that have the potential to reflect human

- mediated impacts on wetland condition. T he indicators of stress do not necessarily directly cause ecol ogical decline

, but are often associated with changes in wetland condition. While these stress indicators are expected to be associated with effects on wetland condition, both in their presence and magnitude, the exact relationship between them and
conditi on cannot be explicitly determined from the data collected in the NWCA. A goal of the NWCA was to characterize indicators of stress that are common in wetlands to help inform priorities for management actions. See Chapter 2 in this document, and the NWCA 2 011 Technical Report (USEPA 2015) for more detail on the development of each indicator of stress.

For simplicity of language, in the remainder of this chapter, “indicators of stress” are sometimes
referred to as “stressors

. ” The results report the extent o f the NWCA 2011 stress indicators by stress or levels (low, moderate, or high). Stressor extent is an estimate of how spatially common an indicator of stress is nationally or within each NWCA Aggregated Ecoregion.



### Physical

Wetlands can be influenced by phys ical changes to the ecosystem and its immediate surrounding s . For the NWCA, physical data collected by crews were categorized and assigned to one of six indicators representing alteration of wetland vegetation or hydrology: vegetation removal, vegetation

r eplacement, damming, ditching, surface hardening, and filling/erosion (see Figure 2

- 4).

Vegetation Alteration

Vegetation alteration was identified by either the removal or replacement of vegetation. The vegetation
removal indicator evaluated the loss, remo val, or damage of vegetation either within the assessment

area or the assessed buffer area immediately surrounding it . Nationally, the vegetation removal stress or is low for 56% of the wetland area and high for 27% (Figure 3

- 2 ). However, this varied greatly by NWCA Aggregated Ecoregion. In the Coastal Plains and Eastern Mountain and Upper Midwest, the degree of vegetation removal for most of the wetland area fell into the low stress or level. In contrast, a large proportion of t he wetland area in the Interior Plains and West have high stress or levels from vegetation removal, encompassing 44 % and 61% of the wetland area in the Interior Plains and West, respectively.Chapter 3 National Results

October 2015 46

National Wetland Condition Assessment 20 11 Figure 3

- 2 . Est imated extent of vegetation alteration in wetlands by stress or level s as indicated by vegetation removal and vegetation replacement. Results are presented nationally and by NWCA Aggregated Ecoregion

.

The vegetation replacement indicator documented major ch anges to the natural vegetation structure and composition due to anthropogenic activities (e.g., conversion of natural plant communit ies to golf course, lawn, park, row crops, nursery, etc

. ). Nationally

, and within each of the NWCA Aggregated Ecoregions, wetland area is predominantly found at low stress or levels related to vegetation replacement (Figure 3

- 2 ). Moderate and high stress or levels associated with vegetation replacement are found in 18% and 10% of national wetland area, respectively.

Hydrologic Alteration

Information collected by crews pertaining to alterations of wetland hydrology were used to develop four
stressor indicators: damming

, ditching

, hardening , and filling/erosion . For each of these four indicators, the majority of wetland area nationally have low stress or levels (Figure 3

- 3 ). Of these four, d itching and
surface hardening are found to ha ve the larg est extent of wetland area at high stress or levels nationally

, 23% and 27%, respectivel y. Among the ecoregions, t he West has the largest proportion of wetland area

at high stress or level s for damming, ditching, and surface hardening. In the other ecoregions, the majority of wetland area have low stress or levels for the evaluated hydrologic stressors.Chapter 3 National Results

Octo ber 2015 47

National Wetland Condition Assessment 20 11 Figure 3

- 3 . Estimated extent of hydrologic alteration in wetlands by stressor levels as indicated by damming, ditching, hardening, and filling/erosion. Result s are presented nationally and by NWCA Aggregated Ecoregion

.



### Chemic al

Chemical stressors that can impact the condition of wetlands include excess nutrients, metals, organic toxins, and other chemical compounds that can disrupt nutrient cycles, affect plant and animal growth, and be detrimental to human health. Two chemical indicators of stress were developed for NWCA using data from soil samples collected at each site : a Heavy Metal Index and concentration of soil phosphorus

. At some sites it was not possible to collect a soil sample because of ponded water or other site conditions on the sampling day . Additionally, at some sites in the Interior Plains ecoregion soil samples were not analyzed using NWCA lab oratory protocols

. As a result, these sites co uld not be evaluated for
the chemical stressors. Another potential indicator of stress, microcystin (an algal toxin) concentration, is discussed separately at the end of this chapter.Chapter 3 National Results

October 2015 48

National Wetland Condition Assessment 20 11 Figure 3

- 4 . Estimated extent of chemical indicators of stress in wetlands by stressor levels as indicated by a Heavy Metal Index and soil phosphorus concentrations. Results are presented nationally and by NWCA Aggregated Ecoregion.

Concentrations of twelve heavy metals found in soils and closely associated with human activities comprised the Heavy Metal Index . Heavy metal s have measured concentrations below background
levels across most sites . Consequently, the majority of assessed wetland area nationally , 73%, is at low
level s for this stressor (Figure 3

- 4 ). Moderate levels are found in 18% of wetland area nationally , and high levels in only 2%

. Soil samples could not be collected or were not analyzed for heavy metal concentrations for 7% of wetland area nationally. Of the four NWCA Aggregated Ecoregions, Eastern
Mountains and Upper Midwest and West ha ve the greatest estimated percentage of wetland area at high stress or level s (4% and 5% , respectively ).

Soil phosphorus is a necessary plant nutrient, but at high levels can indicat e human

- mediated impacts. Soil phosphorus concentration thresholds were determined using a distribution

- based approach (see Chapter 2). Nationally, the majority of wetland area, 69%, is at low stress or level s (Figure 3

- 4 ), while 19%
of wetland area is at m oderate stress or level s

. Soil phosphorus concentrations are not assessed for 7%
of the wetland area due to difficulties in collecting soil samples or because some soil samples were not analyzed using NWCA lab protocols

. Among the NWCA Aggregated Ecoregions , wetland area with soil phosphorous concentrations at low stress or level s range s from 63 to 88%. The greatest estimated ext ent of wetland area at high stress or level s is found in the Eastern Mountain and Upper Midwest (13%) and in the Coastal Plains (3%).Chapter 3 National Results

Octo ber 2015 49

National Wetland Condition Assessment 20 11 

### Biological

In addition to looking at the chemical and physical stressor indicators that can impact wetland systems, the NWCA developed a Nonnative Plant Stressor Indicator (NPSI) to assess the level of biological stress in wetlands. Nonnative plants can have numerous direct and indirect effects on native vegetation and ecosystem components. This indicator u s ed three metrics: the relative cover of nonnative species

, richness of non native species (the number of unique nonnative species), and relative frequency of occurrence of nonnative species . Wetlands were assessed as having low, moderate, high, or very high

stressor levels based on the potential impact of nonnative plants on the native vegetation of the site.

Nationally, 61% (37,709,00 4 acres) of the wetland area are estimated to have low stress or level s from nonnative plants, but results a re not uniform across the country (Figure 3

- 5 ). In the Eastern Mountains
and Upper Midwest a nd the Coastal Plains stress or level s based on the NPSI are low for 74% (14,761,495 acres) and 66% (20,358,855 acres) of the wetland area, respectively. In the Interior Plains and West, the
extent of wetland area at low stressor level s is much smaller, 27% and 14%, respectively. In the Interior Plains, the extent of wetland area is distributed more uniformly across the four NPSI stress or level s , with relatively similar proportions of area having low, moderate, high, and very high stress or levels. In the
Wes t, the majority of wetland area, 71% (2,602,07 9 acres) is estimated to have high or very high

stressor levels as indicated by the NPSI.

Figure 3

- 5 . Estimated extent of biological stress in wetlands by stress or level s as indicated by the Nonnative Plant Stressor Indicator. Results are presented nationally and by NWCA Aggregated Ecoregion.Chapter 3 National Results

October 2015 50

National Wetland Condition Assessment 20 11 

## Ranking of Stressors

An important function of the NWCA is to provide information for sound policy and decision

- making to support the maintenance and improvement of wetland ecological quality. It is important for resource managers to understand not only which stressors are present nationally and in various regions, but to have information on the potential impact of stress ors on eco logical condition and to be able to rank those stressors in terms of the estimated improvements we might expect by reducing or eliminating them. To meet these objectives, the NWCA uses relative extent

, relative risk , and attributable risk to

cons ider how stressors could influence the eco logical condition of wetlands. An overview of these three concepts is provided here. Further details on their calculation can be obtained in the NWCA 2011 Technical Report (USEPA 2015, Chapter 9).

Relative extent r anks the stressor indicators in terms of the amount of wetland area affected by a high
level of each stressor indicator evaluated. Relative risk is the probability or likelihood of having poor biological condition when the magnitude of a stressor indicator is high relative to when it is low. Relative risk analysis is commonly employed in medicine where it has been used to describe the risk of having a health problem relative to a potential cause or its in dicator. For example, a person who smokes has a greater risk of developing lung cancer. Often this is presented as a relative risk ratio; for example, a person who smokes is 15 to 30 times more likely to get or die of lung cancer than someone who does

not (CDC 2015). Similarly, the relative risk value for an ecological stressor measures the likelihood that a wetland will have poor ecological condition if the wetland has high levels of the stressor rather than if
the wetland had low or moderate levels of the stressor . Finally, calculation of attributable risk provides an estimate of the proportion of the wetland area in poor condition that could be reduced if the effects of a particular stressor were eliminated.

It is important to note that while the NPSI was reported with the other indicators of stress in the previous section, it is not used in the analyses to describe risk. Because relative and attributable risk specifically relate stressors to condition, and both the NPSI and VMMI use related data, it is no t appropriate to include the NPSI in reporting relative and attributable risk. Although nonnative plant species likely confer risk to wetland condition (see the wetland area extent estimates for the NPSI in the previous section), this risk cannot be evalua ted using the relative and attributable risk approach.

National results for relative extent, and relative and attributable risk for each stressor indicator are presented in the following sections of this chapter. Specifics on stressor indicators for each o f the NWCA Aggregated Ecoregions are given in Chapter 4.



### Relative Extent and Relative Risk

Relative extent is a way to evaluate how widespread and common a high stress or level for each stressor
is across the wetland area . A stressor with a high relative ex tent suggests a national concern. Figure 3

- 6 (left panel) shows the proportion of wetland area in the U

. S

. with high stress or levels for each of the stressor indicators. Vegetation removal, surface hardening, and ditching are the most pervasive

stressors a cross the nation. High levels of vegetation removal and surface hardening stressors are found
for 27% of the wetland area, while 23% of wetland area has high levels of the ditching stressor

.

NARS and the NWCA u s e the concept of relative risk to estimate th e severity of stressor effects. Relative risk is the probability or likelihood of having poor resource condition when a stressor level is high relative to when the stressor is low or moderate. For the NWCA, biologic al condition is described by the
VMMI. A relative risk value of 1 indicates that the stressor indicator has no effect on condition. RelativeChapter 3 National Results

Octo ber 2015 51

National Wetland Condition Assessment 20 11 risk values greater than 1 suggest that the stressor has a greater impact on bio logical condition (e.g., the vegetation removal indicator has a relative ris k of 1. 9 , indicating that the likelihood of having a poor
VMMI score is 9 0% greater in wetlands with high levels of vegetation removal).

Figure 3

- 6 (central panel) shows the relative risk, or relative effect, of each stressor on wetland condition. At the national level, vegetation removal, surface hardening (e.g., soil compaction) , ditching, damming, filling /erosion , and vegetation replacement are hi ghly associated with poor bio logical condition in wetlands with relative risk ranges from about 1.5 to 1.6. There does not appear to be a clear relationship between high soil phosphorus or heavy metal concentrations and poor biological condition.

Figure 3

- 6

. National level estimates for relative extent of stressor indicators when stress or level is high, relative risk associated with each stressor indic a tor, and attributable risk for each stressor indicator r elative to wetland biological condition.



### Attributable Risk

NWCA uses the calculation of attributable risk to estimate the proportion of wetland area in poor condition that could be reduced if the effects of a particular stressor indicator were eliminated. Attributable risk combines relative extent and relative risk into one value to evaluate the impact of a
stressor across the assessed area. The calculation of a ttributable risk assumes that the stressor causes poor condition, the effects of the stressor can be reversed, and that the stressor’s impact on condition is independent of other stressors. These assumptions are difficult to meet with survey data like those collected in the NWCA. Despite these limitations, estimates of attributable risk can provide ge neral guidance as to what stressors are affecting condition and to what degree (relative to the other stressor indicators evaluated). This information can provide an indication of how policymakers and resource managers could prioritize actions and the use of limited resources by stressor, geographic region, and/or wetland type.

Figure 3

- 6 (right panel) shows the attributable risk for each of the stressor indicators across the nation. The stressors are ranked according to their attributable risk. The stresso r categories with the highest
attributable risk values are vegetation removal and surface hardening

, with 19 % and 18%, respectively, of the wetland area potentially affected by each. This estimate suggests, for example, that if high levelsChapter 3 National Results

October 2015 52

National Wetland Condition Assessment 20 11 of vegetation re moval are eliminated as a stressor, one would expect to see 19% of wetland acres improve to good or fair biological condition. Ditching has the next highest relative risk, potentially affecting 12% of the wetland area. It is also important to note that some stressors can have large
relative risk values but small attributable risk estimates because the relative extent i s small. For example, filling /erosion is found at high levels in only 10% of the wetland area. Although the relative risk number is about 1.6, the attributable risk estimate indicates that nationally only about 6% of wetland acres may improve to good or fa ir bio logical condition by eliminating filling /erosion

. These attributable risk estimates indicate the need to continue efforts to reduce the impact of vegetation removal, surface hardening, and ditching nationally. Although some stressors

, such as filling /erosion

, might not be as widespread nationally, that does not mean that localized management
actions targeting these stressors are not needed

. 

## Microcystin Presence and Risk

Microcystins are one group of naturally occurring toxins produced by various cyanobacteria (blue

- green algae) that are common in surface waters. Microcystins have been detected nationally in lakes and reservoirs and are considered to be the most commonly o ccurring class of cyanobacteria toxins ( cyanotoxins )

. Three main exposure scenarios are of potential concern regarding microcystins and wetlands: direct ecological impacts on plants and animals, human consumption of exposed organisms, and direct human expo sure through recreational contact. As in other NARS assessments, the microcystin results reported here focus on risks associated with recreational contact. I nformation on other exposure
risks is discussed in the NWCA 2011 Technical Report ( USEPA 2015

, Chap ter 10)

. Although there are relatively few documented cases of human health effects from exposure to cyanotoxins through recreational activities , exposure to cyanobacteria or their toxins may produce allergic like reactions such as skin rashes, eye irritat ions, respiratory symptoms, and in some cases gastrointestinal illness, liver and kidney damage

, and in rare cases even death. During recreational activities, exposure for humans may occur through accidental ingestion

, inhalation or direct contact.
C yanotoxins can also be a concern in drinking water

. 2 In addition to human impacts, livestock

, pets and wildlife are also exposed to cyanotoxins when consuming scum or drinking cyanotoxins

- contaminated
water. The probability of adverse recreational health e ffects for humans due to cyanobacteria and/or microcystin exposure is frequently assessed based on World Health Organization (WHO) guidance thresholds (see Table 2

- 2). Many states have developed h armful a lgal b loom ( HAB ) guidance thresholds
in the event of a cyanobacterial bloom and cyanotoxins in recreational waters.

The occurrence of microcystins in wetlands at national and eco regional scales is shown in Figure 3

- 7

. This figure presents both the percentage of wetland area and the number of wetland acres w here microcystin is detected, not detected, or unassessed (i.e., no microcystin sample was collected ). The
NWCA found that, nationally, 12% of wetland area ha s detectable concentrations of microcystin

. Microcystin is not detected at 27% of wetland area, na tionally, and 61% of wetland area is unassessed. The large percentage of unassessed wetland area is due to the large number of wetland sites where water depth was not deep enough for a microcystin sample to be collected. At the ecoregional scale,
NWCA find s that the Interior Plains ha s the highest percent of wetland area with detectable

2 In June 2015, EPA announced health advisory values for microcystin in drinking water. The Agency is using a non

regulatory option of health advisories to address the growing public health threat of cyanotoxins in drinking water. The health advisory values are 0.3 micrograms per liter (μg/L) for children younger than six and 1.6 μg/L for
children six and older and adults.Chapter 3 National Results

Octo ber 2015 53

National Wetland Condition Assessment 20 11 concentrations of microcystin at 3 4 %. This is much larger than the other NWCA Aggregated Ecoregions,
which each ha ve ranges closer to the national estimate.

Figure 3

- 7 . Estimated occurrence of microcystin in wetlands. Results are presented nationally and by NWCA Aggregated Ecoregion

.

The level of risk associated with recreational exposure to microcystin in wetlands at n ational and ecoregional scales is shown in Figure 3

- 8 . This figure presents both the percentage of wetland area and number of wetland acres in different risk categories (low, moderate, high) based on the WHO
thresholds. Nationally, and across the NWCA Aggr egated Ecoregions, NWCA finds very little wetland

area (< 1%) at either moderate or high risk levels. Most wetland area is at low risk levels or could not be
assessed.Chapter 3 National Results

October 2015 54

National Wetland Condition Assessment 20 11 Figure 3

- 8 . Estimated extent of recrea tional health risk from exposure to microcystin by risk category (low, moderate, and high) based on WHO guidelines. Results are presented nationally and by NWCA Aggregated Ecoregio n.Octo ber 2015 55

National Wetland Condition Assessment 20 11 

# Highlight

Alaska’s Arctic Wetlands Assessment Terri Lomax, Alaska Department of Environmental Conservation

In 2011, as part of EPA’s National Wetland Condition Assessment (NWCA) the Alaska Department of Environmental Conservation (DEC) completed a wetland condition assessment in the Arctic Coastal Plain region of the National Petroleum Reserve

- Alask a. Due to Alaska’s size and limited infrastructure statewide surveys are not feasible, leaving regional assessments as a more realistic option for sampling in Alaska. DEC partnered with the University of Alaska Anchorage and the North Slope Borough to comp lete this survey.

Freshwater emergent wetlands are the dominant wetland type in the region, and
were selected from the National Wetland Inventory within the sample region. Within
this sample frame 57,188 freshwater emergent wetland polygons exist, totaling
more than 5 million acres. To relieve community concerns with potential helicopter interference of subsistence hunting activities we created a buffer around high subsistence
use areas and excluded sites in the sample
frame that fell within the buffer. Fro m the remaining population

, 40 random sites were selected according to NWCA protocols. Alaska’s limited infrastructure, small population base, and the remote nature of most of the state drives the selection of sites in random surveys, typically only
select ing sites with reference or near reference condition. In prior DEC surveys this proved to be problematic as range of disturbance is needed to understand condition and develop metrics based on stress. To overcome this we added 10 targeted sites to our surve y, these sites with known or potentially impacted freshwater emergent wetlan d sites within the sample area.

Wetlands in this region differ significantly from wetlands surveyed in the contiguous United States and therefore required modi fications to national methods. The Arctic Coastal Plain, the land of the midnight sun and the polar night, is a vast treeless area underlain by continuous permafrost. In cooperation with EPA, DEC modified the national methods to include non

- vascular plant identification, modif ied soil methods to account for permafrost conditions, and excluded analysis requiring short hold times.

Overall, assessment areas averaged 33 cm of water depth and 16% of the area was covered with
surface water. S ites averaged an 89 meter vegetated buffer out of the 100 meters evaluated

. The plant community was comprised of short woody and emergent spe cies. 65% of sites were dominated by Carex aquatilis

, Eriophorum vaginatum was the second m ost common species Arctic Wetlands. Photo c ourtesy of Alaska DEC

.October 2015

56

National Wetland Condition Assessment 20 11 identified. Other common plants included several species of Salix

, Eriophorum russeolum and angustifolium , and Betula nana , all typical of arctic emergent wetlands. Permafrost was encountered at all sites, at an average depth of 43 cm.

Results were evaluated for patte rns across the landscape, overall, and in targeted verses random sites. Differences were observed between random verses targeted sites, but otherwise no signi ficant patterns were observed. The percentage of sites with stressors identified in the buffer and assessment area was greater in targeted sites, additionally plant and diatom richness was greater at targeted sit es than random sites. Targeted sites were typically adjacent to previous military
installments with one to several meters of fil l forming a pa d on the tundra. Water chemistry and soil profiles did not demon strate significant differences.

As expected, stressors were more often observed in targeted sites and typically involved changes in the soil (soil compaction, recent fill, and grading). The ne xt most common stressor identified was
off

- road vehicle use. Mild to moderately severe stressors were observed in the assessment area of 100% of targeted sites and mild stressors were observed in 37% of random sites. Similar stressors
were observed in the buffer of all targeted and none of the random sites. We are continuing to evaluate the data in relation to lake, river, stream and coas tal surveys in the same region.

The success of our survey is a ttributed to our partnerships. Working with local tribal go vernments, federal and state agencies, and the University was crucial to overcoming numerous challenges. During field work we experienced freezing weather, gale force winds, equipment malfunctions, medical emergencies, and major logistical hurdles. In spit e of these challenges, we were able to sample 41 ou t of the 50 wetlands selected.

To learn more, contact Terri Lomax (terri.lomax@alaska.gov; 907

- 269

- 7635), Alaska Department of Environmental Conservation, or visit: https://dec.alaska.gov/water/wqsar/monit oring/AKMAP.htmOctober 2015

57

National Wetland Condition Assessment 20 11 

## Chapter 4: Ecoregion and Wetland Type Results

Ecoregions are geographic areas with similar environmental characteristics, such as climate, vegetation, type of soil, and geology. EPA has defined ecoregions at various scales, from large areas to finer units of the landscape (Omernik 1987, USEPA 2011 a ). The EPA ecoregions have been widely used in assessing resource status, establishing water quality and biological condition criteria, and setting management goals for resource protection. NARS uses the various levels (scales) of these EPA ecoregions because they were developed to support decision

- making for aquatic resources, and it is important to consider aquatic and other natural resources within the context of their ecological setting.

Wetla nds in an ecoregion tend to have more similar natural characteristics to each other than with wetlands in other parts of the country. Forested wetlands in the Upper Midwest, for example, share more similar traits with other forested wetlands in this region than they do with forested wetlands in the Coastal Plain. Additionally, different w etland types have distinct characteristics that distinguish them from other wetland types. Wetland types and ecoregions are useful in evaluating and understanding
results d escribing ecological condition and stress because of these patterns

. Previous NARS studies have combined Level III ecoregions into nine major ecoregion groups in order to evaluate the data at ecoregional scales. In the NWCA, to ensure enough sample points within a reporting group to present statistically valid results, it was necessary to combine ecoregions and wetland types for data analysis (see Chapter 2, How are the NWCA results presented? )

.

The four NWCA Aggregated Ecoregions (Figure 4

- 1) are based on a combination of smaller scale EPA ecoregions:

• Coastal Plains

• Eastern Mountains & Upper Midwest

• Interior Plains

• West

The seven NWCA wetland types were combined into four NWCA Aggregated Wetland Types :

• Estuarine Herbaceous

• Estuarine Woody , whic h represents both s c rub

- shrub and forested wetlands.

• Inland Herbaceous , which represents emergent, unconsolidated bottom/aquatic bed , and
farmed wetlands not in crop production

.

• Inland Woody , which represents both forested and scrub

- shrub wetlands.Chapter 4 Ecoregion and Wetland Type Results

October 2015 58

National Wetland Condition Assessment 20 11 Figure 4

- 1 . The NWCA Aggregated Ecoregions. Chapter 2 of this report and the NWCA 2011 Technical Report (USEPA 2015) detail the compilation of these four ecoregions.

In this chapter, condition and stress r esults are reported by each major NWCA ecoregion group and for
NWCA aggregated wetland types :

• Results for each of the four NWCA ecoregions are presented in two ways based on 1) all NWCA wetland types occurring in a region ; and 2) aggregated inland herbac eous and inland woody wetland types within a region.

• Results for estuarine herbaceous and estuarine woody wetland types are presented in the Estuarine Wetlands section of this chapter and include all NWCA ecoregions where estuarine wetlands occur (Coastal Plains, Eastern Mountain and Upper Midwest, and West)

.

NWCA results should not be extrapolated to an individual state or specific wetland within the ecoregions because the study is not intended o r designed to characterize conditions at these finer scales. A number of states worked with EPA to design and implement statistically

- based assessments at the state scale in order to characterize the condition of wetland populations within their states. Sh ort highlights discussing these studies appear throughout the report.Chapter 4 Ecoregion and Wetland Type Result s

Octo ber 2015 59

National Wetland Condition Assessment 20 11 

## Coastal Plains Ecoregion

Landscape setting of the ecoregion

The Coastal Plains ecoregion includes the Mississippi Delta and Gulf Coast, runs north along the Mississippi River to the
Ohi o River, and includes Florida and eastern Texas, and the Atlantic seaboard from Florida to Cape Cod.

The Coastal Plain s is relatively flat and much of the area is less than 500 feet above sea level. Most of the region is composed of sedimentary rocks or u nconsolidated sediments of marine origin, with some areas made up of younger alluvial deposits. A large proportion of the natural vegetation is mixed pine and hardwood forests. Along the western edge of the region (coastal Texas and Louisiana), post oak sa vanna and prairie vegetation is more common. The Mississippi River Valley is dominated by bottomland deciduous forests.

The climate in the Coastal Plains is temperate wet to subtropical, with average annual temperatures ranging from 50 to 80 ° F. Average ann ual precipitation ranges from 30 to 79 inches.

Although many areas had been previously cleared for agricultural purposes, much of the region has
been reforested or is u s ed for lumber and pulpwood production. Agricultural crops, pasture, and rangeland is found throughout the region, but production of cotton, soybeans, rice, and sugarcane remains a dominant land use in the Mississippi Valley.

The types of wetlands found throug hout the region are
diverse. Tidal salt and brackish marshes and tidal and non

- tidal freshwater marshes are found along the Gulf and Atlantic coasts. In the most southern part of the region (central Florida and southward) mangrove swamps are found in assoc iation with coastal marshes. In the interior portions of the Coastal Plains, bottomland hardwood forests and swamps occur along rivers, streams, and their headwaters. Other wetlands found throughout the Coastal Plains region are locally referred to as
flat woods, pineywoods, pine savannas, pine barrens, flatlands, and coastal prairies. These wetlands can be dominated by herbaceous plants, hardwoods, pines, or a mixture of vegetation. Freshwater bogs, called pocosins, are found from southern Virginia to north ern Florida.

In the Coastal Plains, there are several well

- known wetland complexes, including the Florida Everglades, the Okefenokee Swamp in southeastern Georgia and northeastern Florida, the Great Dismal Swamp in southeastern Virginia and northeastern No rth Carolina, and the Louisiana Delta (a complex of forested wetlands, freshwater marshes, salt marshes, and shallow coastal lakes). Swamp in Florida (site NWCA11

- 1258).
Photo courtesy of University of Florida.Chapter 4 Ecoregion and Wetland Type Results

October 2015 60

National Wetland Condition Assessment 20 11 

### Summary of findings

A total of 513 randomly selected sites were sampled in the Coastal Plains ecoregion during the 2011
fie ld season, representing 30,893,305 acres. Of the total number of Coastal Plains sites sampled, 62 are inland herbaceous wetlands, representing 3,750,551 acres , and 163 are inland woody wetlands

, representing 21,859,265 acres. Estuarine wetlands in the Coastal Plains include 288 sites, representing 5,283,489 acres. Detailed r esults for e stuarine wetland type s are reported in the Estuarine Wetlands
section of th is chapter

. Biological Condition

For all wetland types assessed in the Coastal Plains (Figure 4

- 2), 50% of the estimated wetland area is in good condition; 21% is in fair condition and 29% is in poor condition based on the Vegetation Multimetric Index (VMMI) (see Chapter 2 for details on the VMMI). The proportion of wetland area in good (50%), fair (26%), and poor (25%) is similar for inland woody wetlands in this ecoregion. The NWCA
found that the proportion of inland herbaceous wetlands in poor condition , however, is much larger, 59%, than the proportion of inland woody wetlands in poor condition (Figure s 4

- 3 and Figure 4

- 4 ).

Indicators of Stress

For all wetland types assessed in the Coastal Plains, vegetation removal, ditching, and surface hardening

are the indicators with the greatest prop ortion of wetland area at high stress or levels (Figure 4

- 2). However, the majority of wetland area throughout the ecoregion has low levels for each of the

stress ors . Key findings include :

• Vegetation removal is high for 25% of the wetland area compared to moderate for 21% and low for 54% of wetland area.

• Hardening levels are high in 23% of wetland area, while 9% and 69% of wetland area have
moderate or low stressor levels, respectively.

• Ditching is high in 21% of the wetland area, moderate i n 5%, and low in 74%.

For inland wetland types assessed w ithin the Coastal Plains ecoregion (Figures 4

- 3 and 4

- 4) , data show :

 M ore than half of the area assessed for inland herbaceous wetlands ha s high stressor levels associated with vegetation removal (6 1%), hardening (57%), and ditching (52%).

 T he most prevalent stressors at high levels for inland woody wetlands are also vegetation removal (24% of wetland area), hardening (20%), and ditching (16%), but these high stress or levels are a sma ller proportion of wetland area compared to the herbaceous wetlands.

 T he extent of high levels of vegetation removal, damming, ditching, hardening, and filling/erosion stressors are greater in inland herbaceous wetlands than in inland woody
wetlands. Very high and high le vels for the nonnative plant stress or indicator are also greater in
herbaceous wetlands.Chapter 4 Ecoregion and Wetland Type Result s

Octo ber 2015 61

National Wetland Condition Assessment 20 11 Figure 4

- 2 . NWCA 2011 survey results for the wetland s (i.e., all target wetland types) across the Coastal Plains. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.

Figure 4

- 3 . NWCA survey results for the inland herbaceous wetland type across the Coastal Plains. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

October 2015 62

National Wetland Condition Assessment 20 11 Figure 4

- 4 . NWCA 2011 survey results for the inland woody wetland type across the Coastal Plains. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Octo ber 2015 63

National Wetland Condition Assessment 20 11 

# Highlight

Southeast Wetlands Monitoring and Assessment Intensification Study : North Carolina, South Carolina, Alabama, and Georgia Rick Savage and Kristie Gianopulos, N.C. Department of Environment and Natural Resources

Overview : Recognizing that natural ecosystems are not confined within state boundaries, four neighboring states embarked on an unprecedented collaboration to study the condition of forested wetlands in the Southeastern United States. North Carolina, South Carolina, Georgia, and Alabama performed a regional analysis of forested wetlands within the Piedmont and Coastal Plain ecoregions, using both NWCA survey methodologie s and additional indicators of wetland health (i.e., amphibian, macroinvertebrates, and overall landscape measures). The regional intensification project included 110 forested wetlands across the four states involved in the study. Although the final analys is has not been completed, preliminary data reveal differences in condition between the ecoregions, as well as areas of possible concern for amphibian populations.
Sampling and Protocols : There were 45 wetland sites sampled in the Piedmont Region and 65 wetland sites sampled in the Coastal Plain Region. At each of
these s ites, NWCA data were
collected as well as additional indicators, including for amphibians
and macroinvertebrates. This intensification study developed a composite scoring system from several data indicators gathered at
each location in order to determine

t he overall wetland condition at each site. The preliminary wetland condition index integrated several important measurements into one total, including the following
individual biotic and abiotic measures: the vegetation mean C; vegetation invasive species cover, the Amphibian Quality Assessment Index (AQAI), macroinvertebrate diversity, the buffer Landscape Development Intensity Index (LDI), the Ohio Rapid Assessment Method score, water quality nutrients, and soil metals information. Mean C is a commonly us ed metric based on Coefficient of Conservatism values of the plant species. Species are rated from 0 to 10 based on their fidelity to natural habitat; a high C value indicates nearly all species occurrences are in pristine habitat and low C values are assi gned to weedy species which are Figure 1

. Preliminary composite rankings for forested wetland sites; low rank
numbers ind icate best quality and high rank numbers indicate lowest quality, based on a variety of factors.October 2015

64

National Wetland Condition Assessment 20 11 tolerant of human

- caused disturbance. The LDI scores were developed using GIS analysis of land uses and their
aerial extent surrounding sampled wetland points. The AQAI values were calculated using Coefficient of Conservatism ratings developed for amphibian species and an equation identical to that used commonly for floristic quality assessments (FQA). Low AQAI values i ndicate low species diversity at a given site, while higher numbers correspond with increasing quality.
What They Have Learned : Preliminary data analysis reveal differences between the ecoregions and have identified areas of possible concern for amphibian populations. Preliminary composite rankings (Figure 1) for
forested wetland sites within the region indicate that forested wetlands
in the Southeastern Coastal Plain (riverine swamp forests) are in better condition than those in the Piedmont ecoregion (bo ttomland hardwood forests). This may not be surprising since the Piedmont has been heavily farmed and is more densely populated.
In addition to the overall composite score, specific measures like the AQAI provide insight into the condition of
wetlands and management implications for amphibian habitat. Amphibians are considered sentinel indicators because of their sensitivity to environmental stress, making them ideal for regional biomonitoring. While all of these results are preliminary, the AQAI scores der ived from sampling site data are largely consistent with the overall composite indicator of wetland condition.
Generally, greater numbers of amphibian species were found in Coastal Plain sites, where unique species counts ranged from 3 to 12 (mean = 4.9). In the Piedmont ecoregion, the number of amphibian species found at each site ranged from 1 to 7 species (mean = 3.8). These numbers correspond to AQAI values in the good score (green), fair (yellow), and poor scor e (red) categories as seen in Figure 2. Similar to the findings of the overall composite scoring, AQAI values in the Piedmont Region were relatively low or poor compared to AQAI
scores for the Coastal Plain wetlands. The marbled salamander is a species par ticularly sensitive to anthropogenic disturbances, and is found mainly in the highest quality wetland sites. Marbled salamander were found in twice as many Coastal Plain sites (12) as Piedmont sites (6).
Overall, this type of wetland condition information can aid state and regional management decisions about wetland services such as flood control, water quality filtering, or the identification of restoration needs and opportunities. When the full analysis is complete, the improved knowledge of wetland condi tion in the Southeast region will help state agencies and conservation organizations to target scarce resources toward improving wetland condition in an efficacious way.
To learn more, contact Rick Savage ( rick .savage@ncdenr.gov ; 919

- 707

- 8792) or Kristie Gianopulos ( kristie.gianopulos@ncdenr.gov ; 919

- 707

- 8796), N.C. Department of Environment and Natural Resources. Figure 2

. Wetland condition based on Amphibian AQAI indicator; low numbers indicate low species quality.

Marbled Salamander ( Ambystoma

opacum ).Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 65

National Wetland Condition Assessment 20 11 

## Eastern Mountain s and Upper Midwest

Landscape setting of the ecoregion

The NWCA Eastern Mountains and Upper Midwest ecoregion
combine s the Northern Appalachians, Southern Appalachians, and the Upper Midwest NARS ecoregions . Th e region includes portions of Minnesota, Wisconsin, Michigan, nort heastern Ohio, and virtually all of the New England states. It also includes New York, Pennsylvania, West Virginia, most of Kentucky, a significant part of Tennessee, as well as portions of East Coast states interior to the Coastal Plains ecoregion.
The so uthern part of the ecoregion extends into northeastern Alabama and the Ouachita Mountains in Arkansas, Missouri,
and Oklahoma.

Dominant landscape features of the Eastern Mountains and Upper Midwest ecoregion include the Appalachian Mountains and the Great Lakes Basin. Retreating ice during the last glacial period and karst topography were important in shaping the region’s landscape. The northern portion is composed of glaciated terrain, with expansive plains and hills in the area surrounding the Great Lake s . In some areas (particularly northern Minnesota), extensive peatlands have formed on glacial lake plains. Most of the Northern Appalachians was also glaciated , resulting in mountainous or hilly terrain with intermixed plains

. The Southern Appalachian reg ion is also hilly, with wide valleys, plateaus, and irregular plains.
Northern boreal and broadleaf deciduous forests transition to broadleaf and needleleaf forest
communities toward the south.

The climate of the Eastern Mountains and Upper Midwest is char acterized by a range of temperatures and precipitation. Cold winters and relatively short summers with a mean of 20 to 47 inches of precipitation characterize the areas surrounding the Great Lakes. Moving eastward , the climate is slightly warmer with incre ased annual precipitation totals ranging from 35 to 60 inches. Average annual temperatures range from 39 to 49 o F. The southern portion of the ecoregion is both warmer and wetter, with annual precipitation of about 40 to 80 inches and average annual tempera tures ranging from 52 to
59 o F

. Forests in the Eastern Mountains and Upper Midwest were extensively cleared in the 18th and 19th centuries for agricultural and industrial production. Today, much of the area within this ecoregion is highly populated and majo r manufacturing, including chemical, steel and power production may be found in metropolitan areas throughout the ecoregion

. However, much of the northern part of the region remains forested and relatively undeveloped.Chapter 4 Ecoregion and Wetland Type Results

October 2015 66

National Wetland Condition Assessment 20 11 Wetlands are relatively abundant in the northern portion of the ecoregion, owing to the climate and glaciated terrain. In contrast, wetlands are not as domi nant a landscape feature in the southern portion. Forested wetlands are the most common type found throughout the ecoregion, and include forested swamps, bottomland hardwoods, wet flatwoods in the plains of the Great Lakes, and boreal coniferous
forested b ogs. Depressional wetlands, such as small ponds, kettle depressions, and vernal pools, form in
low

- lying areas left from retreating glaciers, areas with karst topography, and other landscape
characteristics. Freshwater marshes are common
around the Great L akes and other water bodies throughout the ecoregion, while salt marshes may be found along the New England coastline

. Well known wetland complexes in the Eastern Mountains and Upper Midwest include the Boundary Waters area of Northern Minnesota, Horicon M arsh in Wisconsin, and Montezuma Swamp in the Finger Lakes region of New York.



### Summary of findings

A total of 152 randomly selected sites were sampled in the Eastern Mountains and Upper Midwest ecoregion during the 2011 field season, representing 19,956,66 8 acres. Of the total number of Eastern Mountains and Upper Midwest sites sampled, 55 are inland herbaceous wetlands, representing 3,762,089 acres , and 83 are inland woody wetlands , representing 16,165,406 acres. Estuarine wetlands
in the Eastern Mountains and Upper Midwest included 14 sites, representing 29,173 acres. Detailed results for estuarine wetland types are reported in the Estuarine Wetlands section of this chapter.

Biologic al Condition

For all wetland types assessed in the Eastern Mountains and Upper Midwest (Figure 4

- 5), 52% of the
estimated wetland area is in good condition; 11% is in fair condition, and 37% is in poor condition based
on the VMMI. I nland herbaceous wetlands have 62% of assessed wetland area in good condition, 17% in
fair condit ion, and 22% in poor condition (Figure 4

- 6). Compared to the inland herbaceous wetlands, a slightly lower proportion of inland woody wetlands are in good and fair condition, 50% and 9%, respectively , while a greater proportion of inland woody wetlands are in poor cond i tion, 41% (Figure 4

- 7).

Indicators of Stress

For all wetland types assessed in the Eastern Mountains and Upper Midwest, surface hardening, vegetation removal, ditching, and soil phosphorus concentration are the indicators with the greatest

pro portion of wetland area at high stress or levels (Figure 4

- 5). However, the majority of wetland area throughout the ecoregion had low levels for each of the stress ors . Key findings include :

• Hardening has high stressor levels for 22% of wetland area

, while 23% and 55% have moderate or low levels, respectively.

• Vegetation removal stressor levels are high in 17% of wetland area , moderate in 15% of wetland area, and low in 68% of wetland area

. Forested wetland in New Hampshire (site NWCA11

- 2163). Photo courtesy of N ew Hampshire D epartment of E nvironmental Services

.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 67

National Wetland Condition Assessment 20 11 • Ditching is high in 15% of the wetland area, moderate in 8%, and low in 77%.

• Soil phosphorus concentrations in this ecoregion are at high stressor levels for 13% of wetland area, moderate for 22% and low for 63% of wetland area

. Soil phosphorus could not be assessed for 1% of the wetland area due to difficulties c ollecting soil samples at some sites

.

For inland wetland types assessed w ithin the Eastern Mountain and Upper Midwest ecoregion (Figures

4

- 6 and 4

- 7) , data show :

 T he most prevalent stressors at high level s for inland herbaceous wetlands are soil phosphoru s (35% of wetland area), vegetation removal (18%), ditching (14%), hardening (12%), and damming (12%).

 T he most prevalent stressors at high level s for inland woody wetlands are hardening (25% of wetland area), vegetation removal (17%), and ditching (15%).

 High stress or levels for soil phosphorus are found at a greater proportion of wetland area for
inland herbaceous wetlands ( 35% ) than inland woody wetlands (8%). It should be noted that 8% of the herbaceous wetlands could not be assessed for soil phosphorus due to difficulties collecting soil samples at some sites . Less than 1% of woody wetlands were not assessed.

 Hardening is a more prevalent stressor for inland woody wetlands, with 25% of wetland area having high

- stress or levels compared to 12% for inland herbaceous wetland s

.

Figure 4

- 5 . NWCA 2011 survey results for the wetland s (i.e., all target wetland types) across the Eastern Mountains and Upper Midwest. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

October 2015 68

National Wetland Condition Assessment 20 11 Figure 4

- 6 . NWCA 2011 survey results for the inland herbaceous wetland type across the Eastern Mountains and Upper Midwest. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.

Figure 4

- 7 . NWCA 2011 survey results for the inland woody wetland type across the Ea stern Mountains and Upper Midwest. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Octo ber 2015 69

National Wetland Condition Assessment 20 11 

# Highlight

Establishing a B aseline for Ohio’s V aluable W etland R esources: A National Wetland
Condition Assessment Intensification Brian Gara, Ohio EPA

Objectives: According to previous estimates, Ohio has lost approximately 90% of its original, pre

settlement wetland habitat (Dahl 1990). The main goal of this intensification project was to perform a statewide survey to determine the current ecological condition of wetlands in Ohio that will serve as a baseline for future studies of this valuable and diminishing resource. A randomly

- selected sample of 50 wetlands were studied between 2011 and 2014 to generate the data necessary to determine condition
and to:

(1) Comp are and contrast the results NWCA 2011 with results generated from Ohio’s Level 1, 2, and 3 wetland assessment methodologies.

(2) Identify differences in how NWCA and Ohio
field methods assess wetland conditions that will help inform monitoring protocols for future
state and national wetland condition

assessments.
(3) Develop a plan to consistently repeat this statewide analysis on a regular schedule to illustrate long

- term trends in both wetland quantity and quality in Ohio.

Protocols and Methods Used: Eleven wetland sites were sampled in Ohio for the 2011 NWCA, following the national NWCA protocols. An additional 39 wetland sites were sampled over
the course of four field seasons (2011

- 2014) using the national protocols and other wetland methodologies previously developed by Ohio EPA. Because the sample design is area

weighted, a large proportion of the sites included in Ohio’s intensification study are
located in the northeastern part of the state, where a majority of the remaining wetland area is contained (Figure 1). The other assessment methodologies included the Ohio Rapid Assessment Method for Wetlands (ORAM) , a simplified soil sampling protocol, and expanded identification an d collection of all unique bryophyte species found within NWCA vegetation plots to calculate metrics for bryophytes. From these data, an ORAM score, a Figure 1. All Ohio NWCA and intensification sites included in the study

.October 2015

70

National Wetland Condition Assessment 20 11 Vegetation Index of Biotic Integrity (VIBI), and a recently developed vegetation analysis called the VIBI

Floristic Quality (VIBI

- FQ), were calculated for each site. The VIBI

- FQ is a simplified analysis of vegetation
based on two equally

- weighted metrics calculated for diversity and dominance (Gara 2013). Ohio utilized proposed bryophyte metrics in order to explore the utility of bryophyte taxonomic group systems as a potential measure of ecological condition. The metrics include (1) the proposed Moss Quality Assessment Index (Moss QAI); (2) the number of bryophyte species; and (3) the number of bryophyte gen era.
What They Found : The 2011

- 2014 intensification project provided a unique opportunity to survey a random sample of wetlands in Ohio. Using the data collected, Ohio has completed ORAM,
VIBI and VIBI

- FQ assessments, which all suggest that Ohio wetland resources are in generally good ecological condition.
Both VIBI and VIBI

- FQ assessments resulted in approximately half of the wetlands within the “Excellent” or “Good” ecological condition ranges, while the
ORAM assessment resulted in over half of
wetlands within that upper range (Table 1). This is higher than expected, given the amount of wetland loss experienced historically.

This study further allowed for the comparison of VIBI

- FQ with results from both ORAM and VIBI for all 50
sites. VIBI

- FQ is shown to be highly correlated to both the level 2 (ORAM) and level 3 (VIBI) assessments that have been part of the Ohio EPA wetland regulatory program for more than 10 years (Figure 2, Figure 3). Ohio EPA is considering making this new tool a preferred assessment technique for monitoring certain wetland restoration projects.

The bryophyte metrics have been calculated for all 50 surveyed sites, and preliminary results have shown a strong
statistical correlation
between the overall diversity of bryophytes present and the ecological condition of
the wetland vascular plant communi ty. Developing a bryophyte index of biotic integrity could be extremely beneficial to
the state wetland regulatory program
because most bryophytes are present

year

- round, unlike
most other indicators for detailed biological Wetland
Condition ORAM VIBI VIBI

FQ

“Poor” 7 (14%) 11 (22%) 8 (16%)

“Fair” 15 (30%) 14 (28%) 16 (32%)

“Good” 17 (34%) 7 (14%) 16 (32%)

“Excellent” 11 (27%) 18 (36%) 8 (16%)

Table 1. ORAM, VIBI, and VIBI

- FQ score for all Ohio NWCA intensification wetlands, based upon unweighted data and by approximate ecological condition ranges which correspond to Ohio’s wetland anti

- degradation categories.

Figure 2. VIBI

- FQ vs. ORAM.Octo ber 2015 71

National Wetland Condition Assessment 20 11 assessments. Ohio is still analyzing the soils data, with plans to compare
results to those from the NWCA; additionally, state

specific protocol results will be compared with those generated from NWCA’s USA

- RAM, VMMI, buffer stressors, etc.

The Ohio intens ification of the NWCA has proven to be a valuable first step toward characterizing the state’s remaining wetland resources. Several “lessons learned” will allow Ohio to streamline field protocols when conducting future state surveys, and they have been con sidered in the context of future NWCA protocol revisions. Ohio hopes to replicate this probabilistic wetland survey on a regular basis in order to track temporal trends in both wetland quality and quantity, preferably in conjunction with future cycles of N WCA.

To learn more, contact Brian Gara ( brian.gara@epa.ohio.gov ; 614

- 836

- 8787), Ohio EPA, Division of Surface Water, Wetland Ecology Group.

References:

Dahl, Thomas E. Wetlands losses in the United States, 178 0's to 1980's. Report to the Congress. No. PB

91

- 169284/XAB. National Wetlands Inventory, St. Petersburg, FL (USA), 1990.

Gara, Brian. 2013. The Vegetation Index of Biotic Integrity “Floristic Quality” (VIBI

- FQ). Ohio EPA Technical Report WET/2013

- 2. Ohio Environmental Protection Agency, Wetland Ecology Group, Division of Surface Water, Columbus, Ohio.

Ohio Statewide Imagery Program (OSIP). 2006

- 2007. Ohio Office of Information Technology, Ohio Geographically Referenced Information Program (OGRIP). http://o grip.oit.ohio.gov/.

Soil Survey Staff, Natural Resources Conservation Service (NRCS), U.S. Department of Agriculture. Soil surveys for each Ohio County available online from http://soildatamart.nrcs.usda.gov/Survey.aspx?State=OH [Accessed 2009].

U. S. Fish and Wildlife Service. 2010. National Wetlands Inventory for Ohio. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. http://www.fws.gov/wetlans/. Figure 3. VIBI

- FQ vs. VIBI

.October 2015

72

National Wetland Condition Assessment 20 11 

# Highlight

Minnesota’s Intensification Project: NWCA Intensification Survey Helps Reveal Important Regional Variation in Minnesota Michael Bourdaghs, Minnesota Pollution Control Agency

Minnesota is known as the “land of 10,000 lakes

, ” but wetlands also cover 10.62 million acres of the state (Kloiber and Norris 2013). By any measure it is a water rich state, however, surface water resources (and the pressures they face) do not occur evenly throughout.

As with many other states, a variety of landscapes occur in Minnesota, with three widely recognized ecoregions present. As described by Omernik level II ecoregions they are (Figure 1):

 Mixed Wood Shield: Covering the northeast and
north

- central areas of the state, the Mixed Wood Shield is characterized by a mix of conifer and
hardwood forests. Wetlands are extensive and agricultural and urban development is very low compared to the rest of the state, with forestry and mining as top industries.

 Mixed Wood Plains: This ecoregion occupies a central transitional zone between the drier/warmer former prairies to the south and west and the wetter/cooler northern forests. Historically, much of the ecoregion

was co vered by hardwood forests. Currently, agricultural development is widespread and the majority of Minnesota’s population is concentrated
here.

 Temperate Prairies: Once covered by tallgrass prairie, oak savanna, and aspen parkland, the Temperate
Prairies eco region is now predominantly used for agricultural production.

Across the state, approximately 50% of pre

- settlement wetlands remain. However, development and wetland drainage history vary by ecoregion. Most of the pre

- settlement wetlands remain in the Mixe d Wood Shield, with counties in the ecoregion retaining 92% of wetland acreage on average (Anderson and Craig 1984). Remaining wetland acreage is much lower in the Mixed Wood Plains, with counties averaging 40%. Wetland losses are even greater in the Tempe rate Prairies, where on average only 5% of each county’s pre

- settlement wetlands remain.

The Minnesota Pollution Control Agency took the opportunity to conduct an intensification survey in conjunction with the NWCA. Considering the known variation in devel opment, drainage history, and wetland quantity between ecoregions, Minnesota chose a sampling approach that reduced field sampling Figure 1. O mernik Level II ecoregions in Minnesota

.Octo ber 2015 73

National Wetland Condition Assessment 20 11 at individual sites and focused on veg etation condition. This allowed them to increase the number of sites sampled and achieve a representative sample for each of the ecoregions.

Statewide, wetland vegetation condition was high overall (Figure 2), with an estimated 49% of wetlands
assessed as Exceptional and another 18% in Good condition. Correspondingly, degraded vegetation
conditions were low with 23% assessed as Fair and only 10% in Poor condition. These are encouraging Figure 2. Wetland vegetation condition in Minnesota (statewide and by ecoregion)

.October 2015

74

National Wetland Condition Assessment 20 11 results. The clear majority of Minnesota’s wetlands have either no detectable or only minor impacts to their vegetation.

The ecoregion results, however, reveal a disparity of vegetation conditions (Figure 2) that correspond with the broad patterns of human development. Wetland vegetation condition in the largely intact
Mi xed Wood Shield was very high, with an estimated 64% in Excellent condition. Conversely , in the heavily developed Mixed Wood Plains and Temperate Prairies, veget ation was predominately degraded

– about 80% of wetlands were assessed as Fair or Poor

. The predo minant stress indicator in these two ecoregions was non

- native invasive plant species that can tolerate higher degrees of human impacts, out

- compete native species, and produce persistent litter thereby altering native plant communities and driving out nat ive species (Galatowitsch 2012). The most widespread non

- native invasives were Reed canary grass ( Phalaris arundinacea ) and the invasive Cattails ( Typha angustifolia and Typha x glauca ). High non

- native cover was strongly associated with all types of

stres sors estimated in the survey. For example, non

- native cover was high at approximately 95% of wetlands that had at one time been plowed and left to revert back to natural wetland (about 14

- 16% of the wetland area in the Mixed Wood Plains and Temperate Prair ie ecoregions). However, 9%

- 12% of the wetland area had moderate to high non

- native species cover when all other stressor categories were low or absent, suggesting that non

- native invasives may also be acting independent of other types of human impacts.

Ap proximately 75% of Minnesota’s wetlands occur in the Mixed Wood Shield and the high level of condition found there drives the statewide results, largely masking the degraded conditions in the Mixed Wood Plains and Temperate Prairies. While estimating overa ll wetland condition on a statewide basis is a fundamental scale for monitoring the long term status and trends of wetlands, in Minnesota, the regional scale provides a much more complete story.

To learn more, contact Michael Bourdaghs ( Michael.Bourdaghs@state.mn.us ; 651

- 757

- 2239), Minnesota Pollution Control Agency, Surface Water Monitoring Division.

References:

Anderson, J.P. and W.J. Craig. 1984. Growing energy crops on Minnesota’s wetlands: The land u se perspective. University of Minnesota, Minneapolis, MN.

Galatowitsch, S.M. 2012. Why invasive species stymie wetland restoration. Society of Wetland
Scientists Research Brief. No. 2012

- 0001.

Kloiber, S.M. and D.J. Norris. 2013. Status and Trends of Wetlands in Minnesota: Wetland Quantity Trends from 2006 to 2011. Minnesota Department of Natural Resources, St. Paul, MN.Chapter 4 Ecoregion and Wetland Type Results

October 2015 75

National Wetland Condition Assessment 20 11 

## Interior Plains

Landscape setting of the ecoregion

The NWCA Interior Plains ecoregion combines the Northern Plains, Temperat e Plains, and Southern Plains NARS ecoregions. The region extends from northern Montana to southern Texas and from the Rocky Mountains east to
western Ohio.

The terrain consists of smooth and irregular plains interspersed with tablelands and low hills. The northern portion has also been shaped by glacial deposits from the last Ice Age. Great prairie grasslands were once a dominant feature of this region, but have been replaced by other vegetation as land was developed for other uses. Mixed prairie and fores t communities occur along the eastern edge of the region.

The climate is generally dry and temperate. Annual precipitation ranges from 10 to 43 inches, with the eastern Temperate Plains being wetter than the Northern and Southern Plains. Temperatures vary more widely with average annual temperatures between 45°F and 79°F in the Southern Plains and 36°F and
45°F in the Northern Plains.

Farming and livestock production is an important and dominant economic activity throughout the region. Mining, petroleum and natural gas production ha ve a long history in the southern portion of the region and are increasingly prevalent in the north.

Terrain, climate, and land use have influenced the types of wetlands commonly found in the region today. In the north and central parts of the region, depressional wetlands called prairie potholes are a prevalent feature of the landscape. Prairie potholes typically have a mix of wetland vege tation, varying from submerged and floating plants found in areas with deeper water near the center of the pothole, to bulrush, cattails, and other marsh plants occurring along the edge. In the southern parts of the region, a type of depressional wetland c alled a playa wetland ( also commonly known as a playa lake) i s prevalent

. Prairie potholes and playa wetlands provide important habitat for migrating waterfowl and other wildlife by, among other things, providing a source of water and food in these drier p arts of the country. Prairie potholes and playa wetlands also are important sources of groundwater recharge

. Wet meadows, marshes, and forested wetlands associated with major river systems like the Missouri
River are also commonly found within this region.

Well known wetland complexes in the Interior Plains include the Prairie Pothole Region, the Sandhills and Prairie pothole sampled in North Dakota (site NWCA11

- ND

- 5032). Photo courtesy of NDSU

.Chapter 4 Ecoregion and Wetland Type Results

October 2015 76

National Wetland Condition Assessment 20 11 Rainwater Basin in Nebraska, the Cheyenne Bottoms in Kansas , as well as a wel l

- defined region of playas that includes parts of Nebraska, Colorado, Kansas, Oklahoma, Texas, and New Mexico

. 

### Summary of findings

A total of 156 randomly selected sites were sampled in the Interior Plains during the NWCA 2011 field season, representing 7,659,166 acres. Of the total number of Interior Plains sites sampled, 1 15 are inland herbaceous wetlands, representing 4,598,831 acres , and 41 are inland woody wetlands

, representing 3,060,335 acres.

Biologic al Condition

For all wetland types assessed in the Interior Plains (Figure 4

- 8), 44% of the estimated wetland area is in good condition; 36% is in fair condition, and 19% is in poor condition based on the VMMI. T he proportion of wetland area in good condition for inland herbaceous wetlands is much larger , 60%, than
it is for inland woody wetlands, where only 20% are in good condition (Figures 4

- 9 and 4

- 10). The proportion of woody wetlands in fair condition, however, is much larger, 59%, than it is for herbaceous
wetlands

, 21%. The proportion of area in poor condition is similar for both herbaceous (18%) and w oody (21%) wetlands

. Indicators of Stress

For all wetland types assessed in the Interior Plains, vegetation removal, surface hardening, ditching, and nonnative plants are the indicators with the greatest wetland area at high stress or levels (Figure 4

- 8). While the majority of stressors in this ecoregion are at low levels, both vegetation removal a nd nonnative plant stressors have a greater proportion of wetland area at high and very high levels than
low . Key findings include :

 Vegetation removal is at high stres sor levels in 44% of the wetland area, moderate levels in 14%,
and low levels in 42%.

 Hardening is high in 35% of wetland area, compared to 15% and 49% of wetland area at moderate or low stressor levels, respectively.

 Ditching stressor levels are high in 2 8% of the wetland area, moderate in 10%, and low in 62%.

 Damming is at high stressor levels in 26% of the wetland area, at moderate levels in 4%, and at
low levels in 70%.

 The n onnative plant s tressor has very high and high stressor levels in 21% and 25% o f the wetland area, respe ctively , m oderate levels in 26% of wetland area, and low levels in 27%.

 Soil phosphorus concentration is at low stressor levels

, for most of the wetland area in the region , 71%

. H owever , it is not assessed for 23% of the area due to difficulties in collecting soil samples or because some soil samples for this ecoregion were not analyzed using NWCA lab protocols . Similarly, heavy metal concentrations are at low stressor levels for 61% of wetland area, but is not ass essed for 23% of the area.

For inland wetland types assessed w ithin the Interior Plain s ecoregion s (Figure 4

- 9 and 4

- 10) , data show :

 Inland herbaceous wetlands have several indicators at high stressor levels for large proportions
of assessed wetland area

. These include hardening (56% of wetland area), vegetatio n removal (55%), ditching (41% ), and vegetation replacement (30%). In addition, 63% of inland herbaceous
wetlands ha ve high or very high levels for the nonnative plant stress or

.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 77

National Wetland Condition Assessment 20 11  The indicators of stre ss with the largest proportion of wetland area at high stress or level s for inland woody wetlands are damming (37%) and vegetation removal (28%). Wetland area for woody wetlands at high or very high levels for the nonnative plant s tressor is 20 %.

 For most of the stressors measured, a greater proportion of herbaceous wetland area has high

stress or levels relative to the woody wetlands. The exception is the damming stressor, which is at high levels in 37% of woody wetlands compared to 18% of herbaceo us wetlands.

 While the majority of herbaceous wetlands have low stressor levels for soil phosphorus (55% of wetland area) and heavy metal s (60%), it should be noted that 38% of the wetland area was not
assessed due to difficulties in collecting soil sample s or because some soil samples for this ecoregion were not analyzed using NWCA lab protocols

.

Figure 4

- 8 . NWCA 2011 survey results for the wetland s (i.e., all target wetland types) across the Interior Plains. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

October 2015 78

National Wetland Condition Assessment 20 11 Figure 4

- 9 . NWCA 2 011 survey results for the inland herbaceous wetland type across the Interior Plains. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.

Figure 4

- 10 . NWCA 2011 survey results for the inland woody wetland type across the Interior Plains. Bars show the percentage of wetland area wit hin a condition or stress or classe s. Error bars represent 95% confidence intervals

.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 79

National Wetland Condition Assessment 20 11 

## West Ecoregion

Landscape setting of the ecoregion

The NWCA West ecoregion combines the Western Mountain and Xeric NARS ecoregions. The region includes the western parts of Texas, New Mexico, Colorado, Wyoming, and
Montana to the Pacific Coast.

The West ecoregi on is topographically diverse, including large extensive mountain ranges, plateaus and high

- relief tablelands, lowland plains with hills and low mountains, isolated mountains, and intermountain basins and valleys. Coastal mountains are bordered by coastal plains and include important estuaries along the margins of the Pacific Ocean. The topographic and climatic diversity of the West ecoregion results in diverse plant communities. In the drier parts of the region, native vegetation is dominated by grasses an d shrubs, with relatively few large
trees. Desert and shrub

- steppe ecosystems are found in the rain shadow of large mountain ranges, but within the mountain ranges, vegetation communities include alpine tundra, mountain meadows, valley grasslands, shrublan ds, and hardwood riparian systems. Foothills and mountain ranges are often dominated by expansive forests.

The climate varies widely across the West ecoregion. In the Xeric region, conditions tend to be hot and dry with a long summer dry season. Average an nual temperatures range from 32 to 75 ° F. Average annual precipitation throughout the region ranges from 2 to 40 inches but varies widely both spatially and temporally. The Western Mountain region tends to be cooler and more humid than the Xeric region

, wit h a verage annual temperatures rang ing from 32 to 55 ° F and average annual precipitation rang ing from 16 to 240 inches. At higher elevations, most precipitation falls as snow.

Much of the region is federally

- owned land, some of which is used for recreation purposes. Grazing is widespread and timber production is a leading industry in forested areas. Agricultural pro duction varies widely across the region with climate

— ranging from citrus, subtropical, and tropical fruits to vegetables and horticultural crops, to irrigated and dry

- farmed grain and forage crops.

Wetlands comprise a relatively small, but important,

prop ortion of land area in the West, and vary widely with geography and climate. They support a variety of habitats, including the salmon fishery, and are key contributors to water supplies, especially in the drier regions. In relatively dry basins and valleys , wetlands are concentrated along rivers, streams, and in abandoned river channels. Additionally, wet meadows and emergent marsh complexes are found in large basins and valleys. Snowmelt

- and groundwater

- fed wetlands such as wet meadows, fens, seeps, and forested wetlands are found in mountain ranges. Tidal salt and freshwater marshes, wet meadows and forests are found along the coast. Wet meadow along riparian corridor in Yellowstone National Park, WY (site NWC A11

- 2790). Photo courtesy
of Colorado Natural Heritage Program

.Chapter 4 Ecoregion and Wetland Type Results

October 2015 80

National Wetland Condition Assessment 20 11 Large estuaries, such as the San Francisco Bay and Puget Sound, are familiar to many people, but extensive wetland complex es are also associated with major rivers and lakes throughout the region (e.g., the Colorado, Columbia, Sacramento, and Snake Rivers , the Great Salt Lake).



### Summary of findings

A total of 146 randomly selected sites were sampled in the West ecoregion during the NWCA 2011 to characterize the condition of 3,647,060 acres. Of the total number of West sites sampled, 70 are inland
herbaceous wetlands, representing 1,488,139 acres , and 51 are inland woody wetlands , representing 1,985,936 acres. Estuarine wetlands in the West total 25 sites, representing 172,985 acres. Detailed results for estuarine wetland types are reported in the Estuarine Wetlands section of this chapter.

Biologic al Condition

For all wetland types assessed in the West (Figure 4

- 11), 21% of the e stimated wetland area is in good condition; 18% in fair condition, and 61% in poor condition based on the VMMI (see Chapter 2 for details on the VMMI). Inland herbaceous wetlands ha ve an estimated 25% of wetland area in good condition, 32% in fair conditio n, and in 43% poor condition (Figure 4

- 12)

. Inland woody wetlands ha ve an estimated 21% of wetland area in good condition, 8% in fair condition, and 71% in poor condition (Figure 4

- 1 3 ).

Indicators of Stress

For all wetland types assessed in the West, ditching, nonnative plants, surface hardening, and vegetation removal are the indicators with the greatest wetland area at high stress or levels (Figure 4

- 11). Each of these stressors have a greater proportion of wetland area at high levels tha n low . Key findings include :

 Ditching is at high stressor levels for 76% of wetland area, moderate for 1% and low for 22%.

 The n onnative plant stress or is at very high or high stressor levels for 72% of the wetland area,
and at moderate and low levels for 15% and 14%, respectively.

 Hardening stressor levels are high for 70% of wetland area, moderate for 7%, and low for 23%.

 Vegetation removal stressor levels are high for 61% of the wetland area , m oderate for 6%, and
low for 33%.

 Damming is at high stressor levels for 32% of wetland area, moderate for 1%, and low for 67%.

For inland wetland types assessed w ithin the West ecoregion (Figures 4

- 12 and 4

- 13) , data show :

 The indicators of stress with the greatest percent wetland area at high level s for inland
herbaceous wetlands are ditching (78% of wetland area), hardening (70%), damming (61%), and vegetation removal (47%). H igh or very high levels for the nonnative plant stressor total 73% of
wetland area

.

 T he indicators of stress with the greatest percent wetland area at high level s for inland woody
wetlands are vegetation removal (76% of wetland area )

, ditching (75%), and hardening (75%).

H igh or very high levels for the nonnative plant s tressor total 74% of wetland area

.

 I nland herbaceous and woo dy wetland area ha ve similar percentages of wetland area at high

stressor levels for ditching

, hardening , and nonnative plant indicators

. Both wetland types also
have large percentages of wetland area at l ow stressor levels for vegetation replacement

, filling/erosion, and soil phosphorus indicators

.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 81

National Wetland Condition Assessment 20 11  I nland woody wetlands have a greater proportion of wetland area at high stressor levels for vegetation removal , 78%, than inland herbaceous wetlands, which have 47%.

 H igh stressor levels for damming are fo und in 61% of inland herbaceous wetland area, but only 10% of inland woody wetland area.

 The majority of inland herbaceous wetlands have low stressor levels for heavy metals (80% of wetland area), which is greater than the percentage for inland woody wetla nds. Among woody wetlands, only 20% of wetland area have low stressor levels, while 69% have moderate and 4% have high stressor levels for the heavy metals indicator

.

Figure 4

- 11 . NWCA 2011 survey results for the wetland s (i.e., all target wetland types) across the West. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

October 2015 82

National Wetland Condition Assessment 20 11 Figure 4

- 12

. NWCA 2011 survey results for the inland herbaceous wetland type across the West. Bars show the percentage of wetland area within a condition or stress or class (good, fair, and poor. Error bars represent 95% confidence intervals.

Figure 4

- 13 . NWCA 2011 survey results for the inland woody wetland type across the West. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 83

National Wetland Condition Assessment 20 11 

## Estuarine Wetlan ds

Landscape setting for estuarine wetlands

Estuarine wetlands occur along the coastal areas of
the conterminous U

. S. They can be found in three of the NWCA Ecoregions: Coastal Plains, Eastern Mountains and Upper Midwest, and the West

.

Estuarine wetlands

— tidal systems that are saline or
brackish

— may be dominated by herbaceous emergent vegetation or by shrubs or trees. Estuarine wetlands occur predominantly along coastal areas of the Coastal Plains Ecoregion, while fewer estuarine wetland s occur along the west and northeastern
coasts of the U

. S. Be cause few NW CA 2011 sites occurred in western and northeastern estuarine wetlands, results for estuarine wetlands are presented only by wetland type

— estuarine herbaceous and estuarine woody.

Tidal salt and brackish marshes are found along the nation’s coas ts. Shrub/tree dominated wetlands are often located in high intertidal zones along coasts where they are exposed to less saltwater and there are greater influxes of freshwater from the surrounding landscape. In the most southern part of the Eastern coast, mangrove swamps are found in
association with coastal marshes.



### Summary of findings

The 327 randomly selected estuarine wetland sites that were sampled in the NWCA represent an estimated 5,485,64 6 acres. Estuarine wetlands are reported separately for herbac eous and woody types. E stuarine herbaceous wetlands (salt marshes) are evaluated based on 258 randomly selected sites, which represented an estimated 4,987,824 acres. E stuarine woody wetlands (deciduous or evergreen woody dominated wetlands, mangrove swamp s) represent a smaller proportion of the
wetland area , 497,821 acres

, based on evaluation of 69 sites.

Biological Condition

Estuarine herbaceous wetlands have an estimated 58% of wetland area in good condition, 17% in fair condition, and 26% in poor condi tion ( Figure 4

- 14 ) based on the VMMI (see Chapter 2 for details).
Estuarine w oody wetlands ha ve an estimated 59% of wetland area in good condition, 20% in fair condition, and 22% in poor condition ( Figure 4

- 15 ).

Indicators of Stress

Stress or level i s generally low for all indicators of stress for both estuarine herbaceous and estuarine woody wetlands . For the estuarine herbaceous wetland s ( Figure 4

- 14 ) the indicators of stress with the greatest estimated wetland area at high stress or level s are ditch ing (18%), surface hardening (11%), and Salt marsh in Florida (site NWCA11

- 3069). Photo courtesy of University of Florida

.Chapter 4 Ecoregion and Wetland Type Results

October 2015 84

National Wetland Condition Assessment 20 11 damming (10%). In addition, high or very high levels for the nonnative plant stressor total 24% of
estuarine herbaceous wetland area . Soil phosphorus stressor levels are low for 37% of herbaceous wetland area, modera te for 28%, and high for 2%. Soil phosphorus and soil heavy metal stressors are not assessed for 33% of the wetland area

, due to difficulties collecting soil samples at some sites

.

In the estuarine woody wetlands ( Figure 4

- 15 ), the indicators of stress wit h the greatest estimated
wetland area at high stress or level s are ditching (18% of wetland area ) and hardening (13%). The heavy
metals stressor is at low levels for 44% of wetland area , but at moderate levels for 55%. Less than 1% of estuarine woody wetlan d area is at high stressor levels for heavy metal s

.

Figure 4

- 14 . NWCA 2011 survey results for estuarine herbaceous wetland types across all coastal areas of the conterminous U

. S. Bars show the percentage of wetland area within a condition or stress or class

. Error bars represent 95% confidence intervals.Chapter 4 Ecoregion and Wetland Type Results

Octo ber 2015 85

National Wetland Condition Assessment 20 11 Figure 4

- 15 . NWCA 2011 survey results for estuarine woody wetland types across all coastal areas of the

con terminous U

. S. Bars show the percentage of wetland area within a condition or stress or class. Error bars represent 95% confidence intervals.C hapter 5 Summary and Next Steps

October 2015 86

National Wetland Condition Assessment 20 11 

## Chapter 5: Summary and Next Steps

Summary of Major Findings and Implications

The NWCA 2011 is the first national assessment of wetland ecologic al condition. This accomplishment required an extraordinary amount of effort and cooperation between state , tribal, and federal partners throughout its design and implementation. During the 2011 field season, more than 50 field crews sampled 1,179 wetland sites across the country, using standardized protocols to collect information to
characterize wetland condition. Previous wetland monitoring and assessment studies have been
conducted at local and regional scale s, or have focused on specific wetlan d types or ecological properties , but none have evaluate d wetland condition for a full range of wetland types across the entire country

. Thanks to the efforts of the field crews and many other partners, the NWCA collected the most comprehensive set of biol ogical, physical, and chemical data on wetlands across the U

. S . This national data set will provide valuable and previo usly unavailable information on the ecological
condition of a broad range of wetlands to policy makers, land managers, and scientists

. This includes important insight on wide

- spread stressors impacting wetland biological condition, and the potential improvement that could be seen nationally by reducing these stressors.

The NWCA 2011 found 48% of wetland area is in good condition, based on the national Vegetation
Multimetric I ndex (VMMI) developed for NWCA, while 32% of wetland area is in poor condition. Of the four major ecoregions reported on by NWCA, the West had the lowest percentage of wetland area in good condition at 21%. The Coastal Plains (50%) , Eastern Mountains and Upper Midwest (52%) , and
Interior Plains (44%) ha ve similar percentages of area in good condition as the national estimates.

Nationally, v egetation removal, surface hardening (e.g., pavement, soil compaction) , and ditch ing are the most widespread of the indicators of stress evaluated in NWCA . Vegetation removal and surface hardening stress or indicators are high for 27% of wetland area, while the ditching stress or is high for
23% of wetland area. NWCA 2011 further found t hat wetlands with high stressor levels from vegetation removal and surface hardening are about twice as likely to have poor biological condition as those with
low or moderate levels. Additional a nalysis that looks at how condition might improve if these two

stressors are reduced , called attributable risk, suggests a possible 20% reduction in wetland area with poor biological condition if the stressor level was reduced from high to moderate or low.

Stress or levels for both of the soil indicators of chemical stress are low for the majority of wetland area nationally. However, m oderate stressor levels for heavy metal s are found in 47% of wetland area in the
West and 31% of wetland area in the Easte rn Mountains and Upper Midwest. Soil phosphorous stressor levels are also moderate or high for 22% and 13% of wetland area, respectively, in the Eastern Mountains and Upper Midwest.

NWCA conducted the first national study of algal toxins in wetlands. Microcystin, a toxin that can harm people, pets, and wildlife, was detected in 12% of wetland area nationally. However, b ased on recreational exposure risk levels established by the World Health Organization, very little wetland area is found to be at either moderate or high risk levels.

Nationally, 61% of wetland area has low stress or levels from the nonnative plant indicator, but stressor levels varied by ecoregion . In the West, the majo rity of wetland area, 71%, has high or very high stressor levels from the nonnative plant indicator

. In the Interior Plains

, nearly half of the wetland area (46%) has high or very high stressor levels.Chapter 5 Summary and Next Steps

Octo ber 2015 87

National Wetland Condition Assessment 20 11 

## Advancing Wetland Science

The contributions of the NWC A go beyond the development of the first national assessment of wetland condition. EPA, states, tribes, and other federal agency efforts to implement the NWCA resulted in a robust national program and contributed to the development and enhancement of state and tribal wetland monitoring programs. For example, Minnesota used vegetation data from a larger sample set within the state to identify regional variations in wetland condition and potential stressors (see state highlight , “Minnesota’s Intensification Project: NWCA Intensification Survey Helps Reveal Important Regional Variation in Minnesota” ). ).

The NWCA 2011 survey led to the first n ational v egetation multimetric index developed for wetlands.
This i ndex provided an assessment of the biological conditi on of wetlands nationally, and the methods
and assessment tools can also be u s ed at a regional level. In addition, several indicators of stress based on readily collected field data were developed and used to evaluate the relationship between common

stress ors and biologic al condition. Research into a number of other potential indic a tors of wetland condition was conducted, and while not part of this report, will help inform future scientific studies.

NWCA scientists , for example, attempted to develop indicat ors of wetland condition based on the presence, abundance, and diversity of algal species, recognizing their role in wetland ecology. The difficulty in collecting uniform samples and identifying species presence limited the development of such
an indicator . However, the data collected provide s valuable information to scientists to further research relationships between alga l communities and wetland ecosystem health.

Water chemistry has been widely used in monitoring and assessment programs in aquatic habita ts. While the NWCA collected water chemistry data from 631 sites , its use was somewhat limited in the
NWCA 2011 because of the variability in surface water presence, both within a wetland and among wetland types. Future efforts will focus on protocol impro vements that would allow for better and more complete sampling of wetland surface and/or subsurface water. Additionally, analysis of data collected in 2011 may reveal relationships between water quality and other measures of wetland condition and ecosystem function that can be further developed in future studies

. Rapid assessment methods (RAMs) are widely used at state and regional levels to evaluate wetlands and play a key role in the implementation of many state wetland monitoring and assessment programs

. As part of the NWCA , EPA developed and tested a national rapid assessment method named USA

- RAM

. This was an integral component of the methods used in the 2011 survey. Initial analysis of the data
indicates that USA

- RAM provided measures of wetland stress and condition that correlated with several
individual metrics from the more intensive assessment methods used in the NWCA. Further research
into the data is needed to f ully understand how the rapid assessment methods work across regions and wetland types and to verify and refine USA

- RAM. Many states are conducting their own field
assessments of the USA

- RAM protocols, and adapting these protocols to meet state

- specific we tland

assessment and management needs.

Microbes play an essential role in the breakdown of organic carbon compounds in soils. Their activity is of particular interest in wetland soils, which have the capacity to store (or sequester) large amounts of
carbon . Carbon storage or release occurs through microbial respiration and is affected by a number of factors including hydrology, climatic conditions, and the microbial community. Amid growing concerns regarding greenhouse gases and climate change, scientists a re interested in better understanding the factors that affect carbon cycling in wetlands and their role in the global carbon cycle. As part of the
NWCA 2011 , soil samples from 936 wetland sites across the U

. S

. were analyzed for microbial enzymeC hapter 5 Summary and Next Steps

October 2015 88

National Wetland Condition Assessment 20 11 activity an d respiration. By analyzing the specific types of enzymes present and their relative proportions in the soil, researchers hope to identify nutrient imbalances in the wetland that may limit microbial growth. Th ese data will also be used to assess the impact of other factors, such as water and soil chemistry, land use and related anthropogenic stressors, and atmospheric deposition of nutrients, on microbial growth. Scientists also hope to use this information to estimate rates of carbon decomposition
and how changes in environmental factors might change microbial communi ties and decomposition

rates.

As part of NWCA 2011, analysts measured carbon concentrations in the soil, which provides important
information on the amount of carbon that is stored in wetland s oils. This is helpful as scientists work to understand carbon cycling in various wetland types and regions. For instance, scientists will be using soil data collected for NWCA 2011 to inform the development of baseline estimates of carbon storage in

coasta l wetlands as they work to include coastal wetlands into the U.S. Greenhouse Gas Emissions and Sinks Inventory under the Intergovernmental Panel on Climate Change . This report is prepared annually by the EPA and cooperating agencies to track greenhouse gas emissions and sinks associated with anthropogenic activities and land uses. Coastal wetlands (i.e., tidal marshes, mangroves, and sea grasses) have an important role in greenhouse gas cycling, however they have not yet been included in the inventory.

NWCA is an initial step in our endeavors to assess wetland condition. As the first survey of its kind, the
2011 study identified biological, chemical, and physical indicators of condition and stress for wetlands
and develop ed appropriate metrics to assess ecol ogical condition at national and regional scales . The indicators measured provide new information regarding the health of wetlands nationally, and on relationships between indicators of ecosystem stress or disturbance and wetland condition. Subsequent studies and research by EPA, s tates, and other partners will continue to build upon the knowledge resulting from the NWCA and allow us to further explore and evaluate the condition of wetlands at multiple scales. We will be better able to answer important policy and management questions about the overall health of this critical resource, and design effective strategies to fulfill the objectives of the CWA.



## Next Steps : Preparing for the 2016 Assessment

Plans are underway for the NWCA 2016. NWCA sc ientists are using the findings of the 2011 survey to guide preparations for the next round of the national assessment . NWCA methods will be further refined and developed with the goal of increasingly effective and efficient assessment of national
wetland condition.

As an example, a number of different physical, chemical, and biological measures indicative of soil quality were collected as part of the 2011 survey and were used to indicate potential stressors. Soils are an important component of wetland ecos ystems and the NWCA is interested in further exploring how these indicators could be used to make assessments about soil health in wetlands. Using both the data collected and the insights of research scientists and 2011 field crews, the NWCA is working to develop new methods and further refine existing protocols that will assess the condition of wetland soils and link soil properties to other measures of wetland health.

The NWCA would not have been possible without the assistance and collaboration of hundr eds of dedicated scientists working for state, federal, and tribal agencies and universities across the country. These scientists helped plan and design the survey, select indicators, develop and pilot assessment protocols, train field crews, conduct sampl ing, track samples, review data for quality control, analyze data, and review and write up the findings. Future wetland surveys will continue to rely on th is cl oseChapter 5 Summary and Next Steps

Octo ber 2015 89

National Wetland Condition Assessment 20 11 collaboratio n between EPA and its partners, as we further develop our abilities to study and assess wetlands at multiple scales. We will also continue to build upon the considerable baseline of information on wetland condition and work to ensure its use in evaluating our progress in protecting and restoring the quality of our n ation’s wetlands.October 2015

90

National Wetland Condition Assessment 20 11 

# Highlight

The U.S. Fish and Wildlife Service’s Wetlands Status and Trends Program Mitch Bergeson, U.S. Fish and Wildlife Service
The U. S. Fish and Wildlife Service (FWS) is the principal Federal agency that provides information to the public on the extent and status (quantity and type) of the Nation’s wetlands. The Wetlands Status and Trends (S&T) component has had a history of suc cess in providing scientific information to resource managers and decision makers about wetlands resource trends. The scientific integrity of the W etlands S&T study is unchallenged as it represents the most comprehensive and contemporary effort to track

we tlands acreage on a national scale. The information in the National Wetlands S&T Report and the NWCA Report will complement each other providing the most comprehensive nation

- wide picture of
wetland resources.

In 1986, the Emergency Wetlands Resources Act (Public Law 99

- 645) was enacted to promote the conservation of our Nation’s wetlands. Congress recognized that wetlands are nationally significant resources and that these resources have been affected by human activities. Under the provisions of this Act, Section 401 requires the FWS to conduct wetland S&T studies of the Nation’s wetlands at periodic intervals. Reports on the S&T of wetland area were produced by the FWS in 1983/84, 1990, 1991, 2000, 2006, 2008, 2011 and 2013.

The goal of Wetlands S tatus and Trends is to provide the Nation with current scientifically valid information on the status and extent of wetland, riparian and related aquatic resources and monitor trends of these resources over time

. The S&T studies have provided the nation with inform ation on wetland quantity. The FWS worked closely with the EPA in preparation for the NWCA study which was designed to address the quality of wetlands across the nation. This partnership arose because the FWS’s Wetlands S&T data set offered one of the
best starting points for a probabilistic national wetlands sampling design. This sample design included a population of stratified random sample plots across the nation that contained wetlands defined with
Cowardin et al . (1979) wetland classes. These two stud ies will prove to be invaluable tools by providing resource managers, agencies and the public with information on both quantity and quality of wetlands of
the Nation.

Wetland Definition and Classification: The FWS uses the Cowardin et al . (1979) definition of wetland. This definition is the standard for the agency and is the national standard for wetland mapping, monitoring, and data reporting as determined by the Federal Geographic Data Committee and is separate from the
definition of a wetland found in Section 404 of the CWA regulatory program. The Cowardin et al . definition
of wetlands is described below:

Wetlands are lands transitional between terrestrial and aquatic systems where the water table is usually at or near the surface or the land is covered by shallow water.

For purposes of this classification wetlands must have one or more of the following three attributes: (1) at least periodically, the land supports predominantly hydrophytes, (2) the substrate is predominantly undraine d hydric soil, and (3) the substrate is non

- soil and is saturated with water or covered by shallow water at some time during the growing season of each year.Octo ber 2015 91

National Wetland Condition Assessment 20 11 As noted in this definition, plant community composition, soil morphology, and site wetness (hydrology) are the principal indicators of whether a site is a wetland for ecological purposes. Site wetness (i.e., the presence of water) while central to the concept of wetland, is often the most difficult indicator to assess accurately because it is mo re dynamic (temporally variable) than plant community composition or soil properties. Plants and soil tend to reflect the prevailing degree of wetness at a site over time. For this reason, they frequently are excellent indicators of relative wetness, and t his is why they are listed first as
indicators of wetlands.

Ephemeral waters, which are not recognized as a wetland type, and certain types of “farmed wetlands” as defined by the Food Security Act and that do not coincide with the Cowardin et al. definitio n were not included in this study. The definition and classification of wetland types are consistent between every S&T study conducted by the FWS and the focus of reporting is on the Nation’s wetlands regardless of ownership. Federal, state, and local regu latory agencies with jurisdiction over wetlands may define and
describe wetlands in a different manner than that used in the Wetland S&T studies.

Wetland Classification Applications: The FWS has made adaptations to the Cowardin classification system to acc ommodate the use of remotely sensed imagery as the primary data source. For example, water chemistry, water depth, substrate size and type and even some differences in vegetative species cannot always be reliably ascertained from imagery. Image analysts mu st rely primarily on physical or

spe ctral characteristics evident on high altitude imagery, in conjunction with collateral data, to make decisions regarding wetland classification and deepwater determinations 3

. The delineation of wetlands and deepwater habitat features through image analysis forms the foundation for deriving all subsequent products and data results. The wetlands are interpreted from the image by photo interpreters using key concepts of tone, size, shape, texture, pattern, shadow, locati on and association. The FWS makes no attempt to adapt or apply the products of these techniques to regulatory or legal authorities regarding wetland boundary determinations, jurisdiction or land ownership, but rather uses the information to assist in makin g trends estimates characterizing wetland
habitats.

Study Design: The S&T studies were designed to be a quantitative measure of the areal extent of all wetlands in the conterminous U.S. The approach used is a stratified random samplin g of plots. These are examined, with the use of remotely sensed data in combination with field work, to determine wetland change.

To monitor changes in wetland area, the 48 conterminous U.S. are stratified or divided by state boundaries and 37 physiographi cal subdivisions described by Hammond (1970) and shown in Figure 1. Zone 36 was added by the FWS to include coastal wetlands and nearshore features. In 2008, Zone 37 was added to intensify the coastal wetlands along the Pacific coast of conterminous U.S.

T o permit even spatial coverage of the sample and to allow results to be computed easily by sets of states, the 37 physiographic regions formed by the Hammond subdivisions and the coastal zone stratum
are intersected with state boundaries to form 220 subdiv isions or strata. An example of this stratification approach and the way it relates to sampling frequency is shown for Georgia (Figure 2).

Within the physiographic strata described above, weighted, stratified sample plots are randomly allocated in proporti on to the amount of wetland acreage expected to occur within each stratum. Each sample area is a plot 2 miles (3.218 km) on a side or 4 square miles of area equaling 2,560 acres (1,036 ha). The study includes all wetlands regardless of land ownership.

3 Analysis of imagery is often supplemented with limited field work and ground observations.October 2015

92

National Wetland Condition Assessment 20 11 The advantages to this design are that it was developed by an interagency group of spatial sampl ing experts specifically to monitor wetland changes. It can be used to monitor conversions between ecologically different wetland types, as well as, measure wetland gains and losses.

All habitats, including wetlands, uplands and deepwater, were mapped in e ach plot using imagery at two different dates. The dates of imagery were selected based on availability of imagery closest to the start and end dates of the sample period for each study. All wetland change was also recorded whether it was
considered the re sult of either natural change, such as the natural succession of emergent wetlands to shrub wetlands, or human induced change. The analysis of this data provides accurate estimates of wetland acreage or status at the start and end of the sample period and also provides estimates of observed changes over time by wetland type.

Data from S&T studies provide important long

- term trend information about specific changes and the overall status of wetland quantity in the U.S. The FWS has documented this information by producing six national reports. With the release of the EPA’s NWCA report the nation will have documented information on the quality and condition of these same wetlands. These reports, used in conjunction, will provide Federal and State agencies, the scientific community and conservation groups information on both quantity and quality of the Nation’s wetlands to assist in planning, decision making and wetland policy formulation and assessment.

To learn more, contact Mitch Bergeson (mitch_bergeson@fws.gov

, 608

- 238

- 9333 ext 112 ), U.S. Fish and
Wildlife Service F igure 1. Physiographic regions of the conterminous U.S. as used for stratification in the Wetlands S&T study (adapted from Hammond 1970).Octo ber 2015 93

National Wetland Condition Assessment 20 11 References:

Cowardin, L.M, V. Carter, F.C. Golet and E.T. LaRoe. 1979. Classification of wetlands and deepwater habitats of the United States. Department of the Interior. U.S. Fish and Wildlife Service, Washington, D.C. 131 p.

Dahl, T.E. 1990. Wetlands losses in
the United States 1780s to 1980s. Departm ent of the Interior, U.S. Fish and Wildlife Service, Washington, D.C. 21 p.

Dahl, T.E. and C.E. Johnson. 1991.
Status and trends of wetlands in the conterminous United States,
mid

- 1970s to mid

- 1980s. U.S. Department of the Interior. U.S. Fish and Wildlife Service, Washington, D.C. 28 p.

Dahl, T.E. 2000. Status and trends of
wetlands in conterminous
United States 1986 to 1997. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. 82 p.

Dahl, T.E. 2006. Status and trends of
wetlands in the conterminous
United States 1998 to 2004. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. 112 p.

Dahl, T.E. 2011. Status and trends of wetlands in the conterminous United St ates 2004 to 2011. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. 108 p.

Dahl T.E. and S.M. Stedman. 2013. Status and trends of wetlands in the coastal watersheds of the
Conterminous United States 2004 to 2009. U.S. Department of the Interior, Fish and Wildlife Service
and National Oceanic and Atmospheric Administration, National Marine Fisheries Service . 46 p.

Frayer, W.E., T.J. Monahan, D.C. Bowden, and F.A. Graybill. 1983. Status and trends of wetlands and deepwater habitats in the conterminous United States, 1950’s to 1970’s. Colorado State University, Fort Collins, CO. 31 p.

Hammond, E.H. 1970. Physical subdivisions of the United States of America. In : U.S. Geological Survey. National Atlas of the United States of America. Department of the Interior, Washington, D.C. 61 p.

Stedman, S.M. and T.E. Dahl. 2008. Status and trends of wetlands in the coastal watersheds of the Eastern United States 1998 to 2004. National Oceanic and Atmospheric Administration, National
Marine Fisher ies Service and U.S. Department of the Interior, Fish and Wildlife Service. 32 p.

Tiner, R.W. Jr. 1984. Wetlands of the United States: Current status and recent trends. Department of the Interior. U.S. Fish and Wildlife Service. Washington, D.C. 59 p. Figure 2. Physiographic strata in Georgia

.October 2015

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National Wetland Condition Assessment 20 11 

## Glossary of Terms

Anthropogenic : Made by people or resulting from human activities. Usually used in the context of
environmental impacts that are a result of human activities.

Assessment Area: A 0.5 hectare area that represents the wetland sampling po int where data were
collected for the NWCA

.

Attributable Risk: A n estimate of the proportion of the population in poor biological condition that could be reduced if the effects of a particular stressor were eliminated

. Buffer : A d efined area immediately adjacent to and surrounding the NWCA Assessment Area, extending

100 m eters from the Assessment Area.

Coefficient of Conservatism (C

- value): An assigned value describing the tendency of an individual plant species to occur in disturbed ver sus pristine conditions . Values are state or regionally specific and scaled from 0 (widespread, generalist species that thrive under disturbed conditions) to 10 (occur in specific habitats that are minimally disturbed ).

Condition: T he ecological state of a wetland. The NWCA used i ndicators of c ondition, such as the Vegetation Multimetric Index, to describe ecological condition.

Conterminous United States : The United States exclusive of Alaska and Hawaii.

Cowardin C

lassification S ystem: A national wetland classification system developed by the U.S. Fish and Wildlife Service (FWS) to describe ecological units with similar natural attributes and provide uniform concepts and terminology for describing and mapping wetlands and deepwater habitats . The units are arranged in a hierarchal system to aid resource management decisions.

Cowardin Definition of a Wetland: L ands transitional between terrestrial and aquatic systems where the water table is usually at or near the surface or the land is covered by shallow wat er. Wetlands categorized using the Cowardin System must have one or more of the following three attributes: (1) at least periodically, the land supports predominantly hydrophytes (i.e., plants that have adapted to living in saturated conditions); (2) the s ubstrate is predominantly undrained hydric soils; and (3) the substrate

is non

- soil and is saturated with water or covered by shallow water at some time during the growing season of each year. This biologically

- based definition is used by the NWCA to defin e the target population or group of wetlands of the survey

.
Damming Stressors: Ind icators of stressors that cause hydrologic alterations in a wetland by impounding or impeding water flow from or within the wetland. Stress was measured based on observations of features or activities that could restrict water flow from a site, such as dikes, dams, berms, or railroad
beds.

Ditching Stressors: Indicators of stressors that cause hydrologic alterations in a wetland by draining
water within the wetland. Stress was measured based on observations of features or activities that potentially drain water from a site, such as ditches, corrugated pipe, excavation, or dredging.Glossary of Terms

Octo ber 2015 95

National Wetland Condition Assessment 20 11 Ecoregion: Geographical areas that are similar in climate, vegetation, soil type, and geology . W a ter resources within a particular ecoregion have similar natural characteristics and similar responses to

stressors.

Ecosystem services: The direct and indirect benefits that people, society, and the economy receive through the goods and services provided by nature.

Estuarine Ecosystem : As defined by the Cowardin system, d eep water tidal habitats and adjacent tidal wetlands that are usually semi

- enclosed by land but have open, partly obstructed, or sporadic access to the open ocean, and in which ocean water is at least occasionally diluted by freshwater runoff from the
land.

Eutrophication: The enrichment of water bodies by inorganic plant nutrients (e.g., nitrogen, phosphorus). It may occur naturally but can also be the result of human activity (e.g., ferti lizer runoff

, sewage discharge).

Filling/Erosion Stressors: Indicators of stressors that cause hydrologic alterations in a wetland by removing or depositing soil or sediment. Stress was measured based on observations of features caused by erosion or deposition, such as soil loss, root exposure, fill/spoil banks, or freshly deposited sediment.

Floristic Quality Assessment Index (FQAI): A two metric calculation that captures information about plant community composition based upon the total number of un ique plant species at a given site, known as species richness (diversity) , and the tolerance of each species to human

- mediated disturbance. One of four metrics included in the Vegetation Multimetric Index.

Geomorphology: The science and study of landforms on the Earth’s surface, their evolution over time, and the interpretation of landforms as a record of geologic history.

Hardening Stressors: Indicators of stressors that cause hydrologic alterations in a wetland by prohibiting or restricting the movement o f water or air into or through the soil. Stress was measured based on observations of activities that result in surface hardening or compaction, such as parking lots, suburban residential development, or roads.

Heavy Metal Index : Indicator of stressors tha t can cause elevated heavy metal concentrations in wetland soils. The index evaluated concentrations of 12 heavy metals associated with anthropogenic activities relative to their natural background concentrations in soils.

Hydrogeomorphic (HGM) C lassificat ion S ystem: A wetland classification system developed by the U.S. Army Corps of Engineers that describes and categorizes wetlands based on geomorphic setting (landscape location), water source(s), and hydrodynamics.

Hydrodynamics: T he movement of groundwat er and su rface water.

Hydrology: T he movement, distribution, and physical and chemical characteristics of surface and
subsurface water.

Hydrophytes: Plants that have adapted to living in saturated conditions.

Indicators of Condition: Physical, chemical, and b iological factors that describe the ecological condition
of a wetland. The NWCA use s a Vegetation Multimetric Index as a biological indicator of condition.Glossary of Terms

October 2015

96

National Wetland Condition Assessment 20 11 Index: A combination of metrics used to generate a single score evaluating the condition or pre valence
of stressors at a site.

Indicators of Stress (Stressors): Physical, chemical, and biological factors that can result from, and therefore, can be used to identify stressors or anthropogenic activities that have impacted wetland
condition.

Least

- dist urbed: A disturbance class used to describe sites that represent the best available physical, chemical, and biological habitat conditions in the current state of the landscape within an NWCA Reporting Group; represents approximately 15

- 25% of the sites wit hin a Reporting Group and used as Reference Condition for the purposes of the NWCA Survey.

Metric: An individual measure of a particular property used to evaluate condition or stressors at an
individual site.

Microcystin: A potentially toxic subst ance prod uced by cyanobacteria ( a group of micro be s also called
blue

- green algae).

Monocot: O ne of two groups of flowering plants characterized by seedlings that have one seed

- leaf (e.g., grasses, sedges, rushes, lilies, irises, and orchids).

Most

- disturbed: A dist urbance class used to describe sites that have the worst physical, chemical, and biological habitat condition in the current state of the landscape within an NWCA Reporting Group; represents approximately 20

- 30% of the sites within a Reporting Group.

Nativ e P lant Species : Plant taxa that are indigenous to the state in which the y occur.

Nonnative P lant Species : Plant taxa that are indigenous or native to areas outside of the U.S. , but not indigenous to the location of occurrence (introduced)

, or species that are indigenous or n ative to some

areas or states in the conterminous U.S., but not indigenous to the location of occurrence (adventive).

Nonnative Plant Stressor Indicator (NPSI): Indicator of stress caused by the presence of nonnative plants

in a wet land. The Index is comprised of three metrics: Relative Cover of Nonnative Species, Richness of Nonnative Species, and Relative Frequency of Occurrence of Nonnative Species.

Number of Plant Species Tolerant to Disturbance: The n umber of plant species at th e sampling location with a Coefficient of Conservatism (C

- value) indicating a relatively high tolerance for disturbance. One of four metrics included in the Vegetation Multimetric Index.

Nutrients: Mineral substances that are absorbed by the roots of plant s for nourishment. These substances (e.g., nitrogen, phosphorus) are essential to life, but in excess concentrations can over

stimulate the growth of algae and other plants in water. Excess nutrients in aquatic resources can come from agricultural and urba n runoff, leaking septic systems, sewage discharges, and similar sources.

NWCA Aggregated Ecoregions: Refers to the four ecoregions (Coastal Plains, Eastern Mountain and Upper Midwest, Interior Plains, and West) used for NWCA analysis and reporting. The Ag gregated Ecoregions are combinations of nine aggregated ecoregions used in other NARS studies.

NWCA Aggregated Wetland Types: Refers to the four general wetland types (Estuarine Herbaceous; Estuarine Woody; Inland Herbaceous; and Inland Woody) used for NWC A analysis and reporting. TheGlossary of Terms

Octo ber 2015 97

National Wetland Condition Assessment 20 11 Aggregated Wetland Types are combinations of Cowardin Wetland Types that were part of the NWCA target population.

Palustrine Ecosystem : As defined by the Cowardin system, i ncludes all nontidal wetlands dominated by trees, shrubs, persistent emergent, emergent mosses or lichens, and all such wetlands that occur in tidal areas where salinity due to ocean

- derived salts is below 0.05%. It also includes wetlands lacking such vegetation, but with all of the following four characteristics: (1) area less than 8 h ectares (20 acres); (2)

active wave

- formed or bedrock shoreline features lacking; (3) water depth in the deepest part of basin
less than 2 m eters at low water; and (4) salinity due to ocean

- deri ved salts less than 0.05%.

Population E

stimates: A n a pproximation (reported as a percent of the total area or number of acres) of the entire group of wetlands in the conterminous U

. S

. that were the target of the study. The NWCA focus is on wetlands as grou ps or populations, rather than individual wetlands.

Probability Based D esign: A type of random sampling technique in which every element of the population has a known probability of being selected for sampling.

Reference Condition : The least

- disturbed cond ition available in an ecological region ; determined based on specific criteria and used as a benchmark for comparison w ith other sample sites in the region.

Relative Cover of Native Monocot Species: The proportion of the sampling location covered by native monocot species in relation to all plant species present. One of four metrics included in the Vegetation
Multimetric Index.

Relative Cover of Nonnative Species : The p roportion of the sampling location covered by nonnative plants relative to all plant spec ies present

. One of three metrics included in the Nonnative Plant Stressor Index (NPSI).

Relative E xtent (Stressor Extent) : An estimate (by percent of the resource or relative ranking of occurrence) of how spatially common a stressor is based on the population design.

Relative Frequency of Occurrence of Nonnative Species : The occurrence of nonnative plant species at a

site com pared to the total number of species. One of three metrics included in the Nonnative Plant Stressor Index (NPSI).

Relative Importance of Native Plant Species: A m easurement of the proportion of the sampling location covered by native plants relative to all plants present (i.e., relative cover) and the occurrence of native plant species at a site compared to the total number of species (i.e., relative frequency). One of four metrics included in the Vegetation Multimetric Index.

Relative Risk : T he probability or likelihood of having poor ecological condition when the magnitude of a

stress indicator is high relative to when it is low

. This is o ften presented as a relative risk ratio.

Richness of Nonnative Species : The n umber of nonnative plant species at the sa mpling location. One of three metrics included in the Nonnative Plant Stressor Index (NPSI).

Soil Phosphorus: An essential plant nutrient. However, high concentrations, due to runoff from agricultural and urban runoff, sewage discharges, leaking sewer systems, and other sources, can lead to eutrophication in wetlands and other water bodies. For the NWCA, the concentration of total phosphorus in the soil was used as an indicator of stressors that cause elevated soil phosphorusGlossary of Terms

October 2015

98

National Wetland Condition Assessment 20 11 concentrations. S oil phosph orus concentrations were assessed relative to a threshold set using the
reference site distribution approach.

Stressors: Factors , activities, or land uses that adversely affect, and therefore degrade, aquatic
ecosystems. The NWCA measures stress using chem ical, physical, and biological indicators (e.g., high soil phosphorus concentrations, ditches, relative cover of nonnative plants).

Vegetation Multimetric Index (VMMI): A national indicator of biological condition developed for the NWCA based on plant spec ies composition (presence and abundance) at sampling locations and plant species traits. It combines four metrics: a Floristic Quality Assessment Index (FQAI), Relative Importance of Native Plant Species, Number of Plant Species Tolerant to Disturbance, an d Relative Cover of Native Monocot Species.

Vegetation Removal Stressors : Indicators of stressors that result in losses, removals, or damage of the vegetation community in a wetland. Stress was measured based on observations of activities that result

in ve getation removal, such as mowing, shrub cutting, herbicide use, intensive grazing, and recently
burned forest.

Vegetation Replacement Stressors : Indicators of stressors that result in changes to the plant species present in a wetland. Stress was measured based on observations of activities or land uses that would alter the composition of the plant community, such as tree plantations, nursery, golf courses, lawns, parks, row crops, pasture, hay fields, or rangeland.Octo ber 2015 99

National Wetland Condition Assessment 20 11 

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National Wetland Condition Assessment 20 11 

## List of Abbreviations and Acronyms

A g Silver
C d Cadmium

cm Centimeter
C o Cobalt
C r Chromium
C u Copper
C

- value Coefficient of Conservatism
CWA Clean Water Act

EPA U.S. Environmental Protection Agency

 ̊ F degree F ahrenheit FQAI Floristic Quality Assessment I ndex
FWS U

. S

. Fish and Wildlife Service
GRTS Generalized Random Tessellation Stratified
GIS Geographic Information System
ha Hectare
HAB Harmf ul Algal Bloom
HGM Hydrogeomorphic Class kg Kilogram

L Liter

m Meter

mg Milligram
MMI Multimetric Index
NARS National Aquatic Resource Survey

N i Nickel
NPSI Nonnative Plant Stressor Indicator
NRCS Natural Resources Conservation Service
NWCA National Wetland Condition Assessment
ORD Office of Research and Development
ORISE Oak Ridge Institute for Science and Education
OW Office of Water

P Phosphorus

P b Lead

RAM Rapid Assessment Method
S b Antimony
S&T Status and Trends
S n Tin

spp M ultiple species

μ g mic rogram USA

- RAM U

. S

. A. Rapid Assessment Method
USDA U.S. Department of Agriculture

V Vanadium
VMMI Vegetation M ultimetric I ndex

W Tungsten
WHO World Health OrganizationOctober 2015

104

National Wetland Condition Assessment 20 11 Z n Zinc