# Implementation of

Florida’s Numeric Nutrient Standards

Document Submitted to EPA in Support of the Department of

Environmental Protection’s Adopted Nutrient Standards for

Streams, Spring Vents , Lakes, and Selected Estuaries

April 2013ii 

# T

**ABLE OF** 

# C **ONTENTS**

Purpose of Document

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

Background

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

The Hierarchical Appro ach

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

Nutrient Criteria for Lakes

.............................................................................................................. 2

Nitrate

- Nitrite Criterion for Spring Vents

......................................................................................... 4

Using Measures of Flora and Fauna and Regional Nutrient Thresholds in Streams

............................ 5

Stream Definition

................................................................................................................... 5

Implementation of NNC in Streams

........................................................................................ 6

Floral Evaluation for Determining Achievement of NNC

.......................................................... 8

Evaluating Algal Mats

........................................................................................................... 10

RPS Decision Key

................................................................................................................... 10

Evaluating Changes in Species Composition

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

Algal Species Composition Decision Key

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

Evaluating the Presence or Absence of Nuisance Macrophyte Growth

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

LVS Decision Key

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

Evaluating Algal Blooms, Chlorophyll a, and Phytoplankton Taxonomic Data

......................... 14

Chlorophyll/Algal Bloom Decision Key

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

Floral Measures Summary

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

Faunal Evaluation for Determining Achievement of NNC

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

Examples of a Weight

- of

- Evidence Approach for Determining Achievement

of Nutrient Criteria

............................................................................................................... 17

Stream Sampling Locations and Other Environmental Considerations

................................... 20

Nutrient Criteria in Estuaries

......................................................................................................... 21



### Decision Matrix and Examples for Implementing the Hierarchical Process

............................ 21

Hierarchies 1 and 2

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

Examples of Hierarchy 1

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

Examples of Hierarchy 2

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

Hierarchy 3

................................................................................................ ................................... 25

Examples of Hierarch y 3

....................................................................................................... 26iii Waterbody Types and Cases with Insufficient Information

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

Other Components of NNC

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

NNC and Protection of Downstream Waters

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

Water Quality Modeling

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

Issuance of NPDES Permits

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

Evaluation of Trends

............................................................................................................ 30

Trend Test Summary

............................................................................................................ 32

Discussion of TMDLs as NNC

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

Discussion of Site Specific Alternative Criteria as NNC

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



### Implementing the NNC Revisions to the Impaired Waters Rule (Chapter 62

- 303, F.A.C.)

....... 35

Assessment of Estuaries

................................................................................................................ 40

Assessme nt of Waterbodies with Interpretations of the NNC Expressed as Loads or Delivery

Ratios

.............................................................................................................................. 41

Impaired Waters Rule Assessment Summary

........................................................................ 41



### Surface Water Discharge Wastewater Permits

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

WQBEL Procedures for Each Tier of the Hierarchy

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



### Basic Information Needs for Distinguishing Flowing Waters Under 62

- 302.200(36), F.A.C.

.... 49

General Information

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

Non

- Perennial Water Segments

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

Vascular Plants as Indicators

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

Ma croinvertebrates as Indicators

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

Tidally Influenced Segments

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

Water Management Conveyances

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

Delineation

.......................................................................................................................... 56

Primary Water Management Purpose

................................................................................... 56

Physical Alteration that Limits Habitat

.................................................................................. 56

Appendix A. Minimally Disturbed and Healthy Streams

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

Table A

- 1. List of healthy streams (passing SCI) used to inform RPS expectations.

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

Table A

- 2. List of benchmark streams used to establish RPS and LVS
expectations.

................................................................................................................ 64

Table A

- 3. List of healthy streams (passing SCI) used to inform stream
chlorophyll a expectations.

.......................................................................................... 65iv Table A

- 4. List of benchmark streams used to establish stream chlorophyll a
expectations.

................................................................................................................ 731 

# P **URPOSE OF** 

# D **OCUMENT**

This document describ es how numeric nutrient standards in Chapters 62

- 302 (Water Quality Standards)

and 62

- 303 (Identification of Impaired Surface Waters), Florida Administrative Code (F.A.C.)

, are implemented by the Department of Environmental Protection (D epartment ). The major topics include

the hierarchical approach used to interpret the narrative nutrient criteri on (NNC) on a site

- specific basi s ;

a summar y of the criteria for lakes, spring vents, streams and estuaries ; floral measures and the weight of evidence appro ach in streams ; example scenario s for how the criteria will be implemented in the 303(d) assessment process ; and a description of how the Water Quality Based Effluent Limitation (WQBEL) process is used to implement the nutrient standards in wastewater perm itting

. Finally, because of the complexity associated with assessing nutrient enrichment effects in streams, a summary
of the weight

- of

- evidence evaluation involving flora, fauna, and Nutrient Thresholds is provided.



# B **ACKGROUND**

Nutrients are naturally present in aquatic systems and are necessary for the proper functioning of
biological communities. Nutrient effects on aquatic ecosystems are moderated in how they are expressed by many natural factors ( e.g. , light penetration, hydraulic residence time, pre sence of herbivore grazers and other food web interactions, and habitat considerations). As a result, determining
the appropriate protective nutrient regime is largely a site

- specific undertaking, requiring information
about ecologically relevant response s.



# T

**HE** 

# H **IERARCHICAL** 

# A **PPROACH**

The NNC in paragraph 62

- 302.530(47)(b), F.A.C., states that “in no case shall nutrient concentrations of
a body of water be altered so as to cause an imbalance in natural populations of aquatic flora or fauna.”
The method for numerically interpreting this NNC , on a site

- specific basis, is provided in Rule 62

- 302.531, F.A.C, using a hierarchical process ( Figure 1 ). This hierarchical scheme specifies a prioritization
for determining the numeric nutrient criteria that apply to a given waterbody.

The Rule’s hierarchical approach gives preference to site

- specific analyses that result in a numeric
interpretation of the NNC

. Site specific interpretations are generally deemed superior to more broadly
applicable inte rpretations of the NNC b ecause of the many natural factors affect ing the expression of
nutrient loadings on a given waterbody

. Beginning at the top of Figure 1, if there is a site specific
interpretation of the narrative, such as a Total Maximum Daily Loa d (TMDL), Site Specific Alternative Criterion (SSAC), Water Quality Based Effluent Limitation (WQBEL), or other D epartment

- approved

action that numerically interprets the narrative criterion ( e.g ., Reasonable Assurance derived values)

, that numeric interpr etation is the applicable nutrient criteri on 1

. These numeric interpretations of the

narrative criterion must establish the total allowable load or ambient concentration for at least one nutrient that represents achievement of a healthy, well balanced aquatic community. E ach nutrient (TP

1 Consistent with the Clean Water Act, these site

- specific interpretations will be submitted to EPA for review.2 and TN) is interpreted independently using this hierarchical approach ; if the site

- specific interpretation
only addresses one nutrient, then the generally applicable numeric interpretations in subsections 62

- 302.531(2) and (3), F.A.C., will apply for the other nutrient

.

If a hierarchy 1 interpretation is not available

, the Rule’s hierarchical approach then gives preference to

numeric nutrient values based on quantifiable stressor- response relationships between nutrients and biological response ( i.e

., springs and lakes ). If no quantifiable stressor- response relationship has been
established, such as is the case for Florida streams , reference

- based Nutrient Thresholds

, in conjunction with biological information

, are used to determine the applicable interpretation of the NNC

. For those waters without a numeric interpretation under any of these approaches , the NNC continues to apply to
the waterbody.

Figure 1 . The hierarchy for numerically interpreting the NNC

.



## Nutrient Criteria for Lakes

The lakes criteria were based on a strong stressor- response relationship between nutrients ( TN and TP ) and phytoplankton response (chlorophyll a ). The lakes chlorophyll criteria were derived using multiple lines of evidence, and result in maintaining naturally low nutrient lakes in an oligotrophic state and lakes
with naturally moderate nutrient levels in a mesotrophic state. Naturally eutrophic lakes are addressed3 on a site

- specific basis. A “lake” is defined, for purposes of interpreting the NNC in paragraph 62

- 302.530(47)(b), F.A.C., as a lentic fresh waterbody with a relatively long water residence time and an
open water area that is free from emergent vegetation under typical hydrologic and climatic conditions.
Aquatic plants, as defined in subsection 62

- 340.200(1), F.A.C., may be present in the open water. Lakes do not include springs, wetlands, or streams (except portions of streams that exhibit lake

- like characteristics, such as long water residence time, increased width, or predominance of biological taxa
typically found in non

- flowing conditions). Note that while lakes are typically characterized by a fringe
of emergent vegetation, the presence of an open water area, where emergent vegetation is absent,
distinguishes lakes from wetlands. Floating or submersed vegetation may be present in this open water
area, and the system would still be defined as a lake, and numeric nutrient criteria would apply.

For lakes, the applicable numeric interpretations of the NNC in parag raph 62

- 302.530(47)(b), F.A.C., for
chlorophyll a are shown in Table 1

. The Department allows for an acceptable range of annual geometric means of TN and TP, up to the values shown in the “maximum calculated numeric interpretation”
column, as long as the applicable chlorophyll a criterion is achieved in that same year. These numeric
interpretations for TN, TP, and chlorophyll a can not be exceeded more than once in any consecutive

calendar three year period and apply statewide

.

Table 1. Lakes chlorophyll a , TN, and TP criteria.

1 For lakes with color > 40 PCU in the West Central Nutrient Watershed Region, the maximum TP limit is 0.49 mg/L

, which is the TP streams threshold for the region.4 If there are insufficient data to calculate the annual geometric mean chlorophyll a for a given year or the
annual geometric mean chlorophyll a exceeds the values in Table 1 for the lake type, then the applicable numeric interpretations for TN and TP are t he minimum values in the table. I f there are sufficient data
to calculate the annual geometric mean chlorophyll a and the mean does not exceed the chlorophyll a value for the lake type in T able 1 , then the TN and TP numeric interpretations for that calend ar year are the annual geometric means of ambient TN and TP samples for that lake , subject to the minimum and

maximum TN and TP limits in the table.

If a lake is influenced by an upstream NPDES discharger, the Water Quality Based Effluent Limitation (WQBEL) evaluation for that discharge would determine the specific TN and TP levels (again subject to the upper nutrient values for TN and TP) that would maintain the appropriate chlorophyll a target for the lake (6 or 20 μg/L) during all years, including years representing critical conditions

. This evaluation
would involve water quality modeling set to achieve a “never to exceed” chlorophyll target scenario.
The Department evaluated the inter

- annual variability in lake chlorophyll a levels and found that inter

annual standard deviation (natural log

- transformed) typically ranges from 0.305 to 0.533. Given this
level of variability, the long

- term geometric chlorophyll a concentration in a colored or alkaline clear lake would need to be between 12.8 and 15.5 μg/L to be consistently found in compliance with the
chlorophyll a standard of 20 μg/L. Consequently, the numeric nutrient permit limits for a point source
discharger that influences a downstream lake would need to be adjusted to ensure attain ment of

ch lorophyll a targets in this lower range during all years

, with the precise permit limits being dependent upon site specific factors

. If this demonstration of attainment cannot be made, the discharger could
pursue other options, which include effluent nutrient reductions, discharge re

- location ( e.g., land application), or a Site Specific Alternative Criterion ( establish alternate chlorophyll and nutrient targets

that are fully protective of designated uses).

Note that for lakes with color > 40 PCU in t he West Central Nutrient Watershed Region, the relationship between chlorophyll a and TP is sufficiently variable such that the maximum allowable TP based on the
upper prediction interval would be higher than the TP nutrient threshold for streams. To ensu re protection of downstream streams, the maximum TP limit was set at 0.49 mg/L , which is the TP streams

threshold for the region.



## Nitrate-N itrite Criterion for Spring Vents

The spring vent nitrate

- nitrite criterion is based on a strong stressor-response relationship between

nitrate

- nitrite and the presence of nuisance algal mats, with the criterion established at a concentration that would prevent nuisance mats from occurring (compared with natural background levels). A “spring

vent” is defined as a loc ation where groundwater flows out of a natural, discernible opening in the
ground onto the land surface or into a predominantly fresh surface water.

For spring vents, the applicable numeric interpretation of the NNC in paragraph 62

- 302.530(47)(b),

F.A.C., is 0.35 mg/L of nitrate

- nitrite (NO3 + NO2) as an annual geometric mean, not to be exceeded
more than once in any three consecutive calendar year period.5 

## Using Measures of Flora and Fauna and R egion al Nutrient Thresholds in Streams

Despite an exhaustive ef fort to develop stressor-response relationships between nutrients and
biological responses in streams, insufficient responses were observed to develop numeric nutrient
criteria. Therefore, t o assess whether a stream attains the NNC in paragraph 62

- 302.530( 47)(b), F.A.C.,
pursuant to the provisions in paragraph 62

- 302.531(2)(c), F.A.C. , an evaluation of water chemistry,
biological data (flora and fauna)

, and physical information is used to determine if a stream’s nutrient

concentrations are protect ive of balance d flora and fauna. Because of the complexity associated with nutrient enrichment effects, no single assessment tool is adequate to evaluate all potential impacts, and
instead, a weight

- of

- evidence evaluation must be conducted , as described in Secti on 2.7 of Sampling and Use of the Stream Condition Index (SCI) for Assessing Flowing Waters: A Primer (DEP

- SAS

- 001/11)

, which was incorporated by reference in the rule

. The final result allows a scenario in which the TN and/or TP thresholds are exceeded, but because the floral and faunal measures are met, the streams are

found to be healthy and well balanced . In those occasions, the Department will provide information to
the public on the TN and TP levels that would be associated with the well

- balanced aq uatic community.



### S TREAM 

### D EFINITION

For purposes of interpreting the NNC in paragraph 62

- 302.530(47)(b), F.A.C., under paragraph 62

- 302.531(2)(c), F.A.C., a “stream” is defined as a predominantly fresh surface waterbody with perennial
flow in a defined channel with banks during typical climatic and hydrologic conditions for its region

within the state. During periods of drought, portions of a stream channel may exhibit a dry bed, but
wetted pools are typically still present during these conditions. Str eams do not include: (a) non

perennial water segments where fluctuating hydrologic conditions, including periods of desiccation, typically result in the dominance of wetland and/or terrestrial taxa (and corresponding reduction in
obligate fluvial or lotic taxa), wetlands, or portions of streams that exhibit lake characteristics (e.g., long
water residence time, increased width, or predominance of biological taxa typically found in non

- flowing conditions), or tidally influenced segments that fluctuate between predominantly marine and predominantly fresh waters during typical climatic and hydrologic conditions; or (b) ditches, canals and
other conveyances, or segments of conveyances, that are man

- made, or predominantly channelized or predominantly physically altered; and 1) are primarily used for water management purposes, such as flood protection, stormwater management, irrigation, or water supply; and 2) have marginal or poor
stream habitat or habitat components, such as a lack of habitat or substrate that is biologically limited, because the conveyance has cross sections that are predominantly trapezoidal, has armored banks, or is
maintained primarily for water conveyance.

This stream definition applies only to the numeric nutrient criteria for streams adopte d at paragraph 62

- 302.531(2)(c)

, F.A.C. (hereafter referred to as paragraph (2)(c)). The definition does not apply to any
other water quality criteria adopted within Florida rules except those that specifically reference paragraph (2)(c). Rule 62

- 302.531(1), F.A.C.

, states that the NNC continues to apply for those waters

without numeric nutrient criteri on

.6 The stream definition in Rule 62

- 302.200(36), F.A.C.

, was carefully crafted to ensure consistency with
the scientific procedures and methods used to establish the numeric nutrient standards expressed in paragraph (2)(c). Neither canals nor non

- perennial streams were used in the derivation of the nutrient thresholds in paragraph (2)(c). Furthermore, the physical and hydrologic alterations withi n a canal would almost always result in the failure of the SCI component of the standards in paragraph (2)(c), regardless

of nutrient levels

. This limits the utility of the SCI for determining the affects of nutrients in canals.



### I MPLEMENTATION OF 

### NNC IN 

### S TREAMS

To evaluate ecosystem health in streams , it is important to acknowledge that adverse nutrient enrichment effects follow a conceptual ecological model ( Figure 2 ). When anthropogenic nutrient
loading or concentrations exceed a system’s assimilative capacity, the primary response consists of changes to the primary producer communities (periphyton, phytoplankton, or vascular plants), and
excess production of plant biomass. In turn, this enhanced floral biomass can lead to habitat loss ( e.g ., from excess periphyton smothering or nuisance plant biomass accumulation), food web alterations ( e.g ., dominance of taxa that thrive in nutrient/organic matter enriched conditions), and/or low dissolved
oxygen (DO) from decomposition of plant biomass or respiration. This chain of events is ultimately
reflected in meaningful biological endpoints, such as excessive algal mats, excess water column
chlorophyll a , excess nuisance vascular plant growth, and/or failing Stream Condition Index (SCI) scores.

These adverse b iological endpoints constitute imbalances of aquatic flora and/or fauna.

Conversely, if data show that biological health is fully supported in an aquatic system (no adverse responses consistent with the ecological model), one may conclude that the assoc iated nutrient regime is inherently protective of the waterbody, and the NNC is achieved.

For streams, if a site specific interpretation pursuant to paragraph 62

- 302.531(2)(a), F.A.C. (TMDL, SSAC, Level II WQBEL or RA Plan) has not been established, Nutr ient Thresholds are used to interpret the NNC in combination with biological information. The NNC in paragraph 62

- 302.530(47)(b), F.A.C., shall be
interpreted as being achieved in a stream segment if:

• Information on chlorophyll a levels, algal mats or blooms, nuisance macrophyte growth,
and changes in algal species composition do not indicate an imbalance in flora or fauna;

AND EITHER

• The average score of at least two temporally independent SCIs performed at
representative locations and times is 40 or higher, with neither of the two most recent SCI scores less than 35 (i.e., no faunal imbalances), OR

• The Nutrient Thresholds (expressed as annual geometric means) in Table 2 are not exceeded more than once in a three year period (see Figure 3 for regions).7 Figure 2 . Simplified nutrient enrichment conceptual model used to assess potential adverse effects of
nutrients on aquatic life and human uses in streams. Relationships between nutrients and biologic al responses are highly influenced by site

- specific and mitigating factors.

Table 2. Reference s tream

- based n utrient t hresholds

.

Nutrient Region Total Phosphorus Threshold Total Nitrogen Threshold
Panhandle West 0.06 mg/L 0.67 mg/L
Panhandle East 0.18 mg/L 1.03 mg/L North Central 0.30 mg/L 1.87 mg/L
Peninsula 0.12 mg/L 1.54 mg/L West Central 0.49 mg/L 1.65 mg/L South Florida No numeric nutrient threshold. The narrative criterion in paragraph 62

- 302.530(47)(b), F.A.C., applies. 2

2 Chlorophyll a impairment thresholds in the IWR will continue to be used to assess South Florida flowing waters.8 Figure 3. Map of s tream n utrient r egions

.



### F LORAL 

### E VALUATION FOR 

### D ETERMINING 

### A CHIEVEMENT OF 

### NNC

During numeric nutrient criteria development, the Department, in coordination with EPA, conducted a
series of comprehensive statistical analyses to identify relationships between human disturbance (including nutrient enrichment) and adverse floral responses ( e.g., algal taxonomic composition, algal
and vascular plant abundance, chlorophyll a , etc.) using an extensive data set collected in Florida

streams

. The relationships were statistically weak, and neither the Department nor EPA could identify

floral health/ impairment thresholds associated with human disturbance o r nutrient concentrations/load

. The Department will continue these investigations, and if a relationship is
eventually found, then stream floral measures would be strong candidates for Biocriteria, similar to the

Stream Condition Index and Lake Condition Index . Until these Biocriteria are developed

, the
Department ’s approach is to determine whether the floral components at a given stream are consistent

with the flora l measures found within the EPA reference stream distribution (generally the 90 th

percenti le, as was used to develop the nutrient thresholds)

. If all floral measures are within the EPA
reference site distribution, one may reasonably conclude the presence of a balanced floral community

. Based on all potential floral outcomes associated with the conceptual model in Figure 2 , the
Department evaluate s the Rapid Periphyton Survey (RPS )

, community composition ( autecological )

information associated with dominant algal taxa , Linear Vegetation Survey (LVS), and chlorophyll a data
using a weight of evidence approach, as described below

. These assessments were chosen because
they:

• Represent the entire range of potential floral responses to nutrients, consistent with the
nutrient enrichment conceptual model in Figure 2 ;

• May routinely be conducted by Department staff, who have been extensively trained in
the associated Standard Operating Procedures (SOPs) ; and9 • Comprise the most advanced floral assessment tools currently available for the State of

Florida.

In addition to comparing water quality data to the stream nutrient thresholds in Table 2 and evaluating

available SCI data , the Department evaluate s the floral components, describe d below, to determine if

the stream exhibits balanced flora. Although a weight of evidence approach is used (generally using

floral thresholds established at the 90 th or 10 th percentile of the EPA reference stream distribution, depending on the metric), if any one these floral measures indicates an imbalance, then the Department

w ould conclude that the stream does not attain the NNC

. Floral measures alone can provide e vidence

that the nutrient standard at Rule 62

- 302.531(2)(c) is not achieved

, leading to the waterbody being placed on the Florida Verified List and Clean Water Act 303(d) list

.

If floral da ta are unavailable for a stream that exceed s the Nutrient Thresholds , it is the Depa rtment’s
intent to collect the information during the Watershed Management Assessment Cycle associated with
the Impaired Waters Rule. If the necessary information is not collected during the assessment cycle (due to logistical considerations, etc.) and either the TN or TP thresholds are exceeded, the Department
place s such waters on the Study List , which is submitted to EPA as part of the 303(d) list of impaired

waters , until conclusions can be made

.

To conduct a conclusive biological evaluation of the floral community, it is necessary to conduct two
floral evaluations using the metrics described below to address the temporal persistenc e . One

evaluation is not sufficient to document a s tream ’ s long term floral health because natural climate related circumstances during any given time period can cause shifts in the vascular plant and algal

communit ies . Collecting a temporally independe nt sample can further minimize Type 1 and Type 2

error.

When evaluating the floral evidentiary thr e sholds described below, comparisons to contemporaneous floral data from minimally disturbed reference streams (with minimal disturbance being based on the same criteria employed by EPA during nutrient threshold development) is an important component of
the process. T he expression of nutrient responses is very complex

, and could be related to many
natural factors

, such as extended low flow periods (increased residence time), natural variation in grazer populations, changes in light penetration, and system morphology. For this reason, it is im portant to assess how floral metrics fluctuate at reference sites that are sampled under environmental and
climatological conditions similar to any test site being evaluated. The RPS, LVS, algal species
composition , and chlorophyll data from reference stre am s located proximal ly to any stream under

evaluation should be considered as part of the evidentiary process. Algal evaluations are complex and should be considered with regard to all the variables described above ; however , the Department has
provided a decision key for each of the metrics to assist with decision making

.10 

### E VALUATING 

### A LGAL 

### M ATS

The RPS is used to quantify the extent (coverage) and abundance ( thickness) of attached algae (periphyton) and is an effective tool to quantify abundance of nuisance or problematic algal growth

. The
Department compare s RPS results from a stream to the RPS results compiled from the population of
minimally disturbed and healthy sites that was sampled by the Department as part of NNC
development

. RPS rank 4

- 6 coverage (Rank 4

- 6 represent epiphyte lengths of > 6 mm) at Nutrient Benchmark streams ranged from 0% to 66%, with a mean value of 6% and a 90 th percentile value of 25%.

RPS rank 4

- 6 coverage at all biologically healthy sites (as indicated by S tream C ondition I ndex scores > 40), ranged from 0% to 91%, with a mean value of 8% and a 90 th percentile value of 32%. Although

these RPS distributions are fairly similar, the Department concluded that use of an RPS evidentiary

threshold based on the 90 th percentile of the EPA reference sites would be consistent with the manner

in which the nutrient thresholds were derived. Therefore, i f a stream exhibits a percent coverage for RPS

ranks 4

- 6 of 25 % or less in both samples , the RPS results indicate eviden ce of no imbalance of flora

. If a
stream segment exceeds an RPS 4

- 6 coverage of > 25 % during two consecutive, temporally independent
samplings (> 3 months apart)

, the Department considers this a s evidence that the NNC is not achieved.

If the two samples have differing results in relation to the evidentiary threshold, then the preliminary analysis of this metric alone is inconclusive. Reviewing other data, information, or water quality/biology
variables can help inform the reasons behind the differing results. Additional sampling should be
conducted until two temporally independent samplings either attain, or do not attain, the evidentiary
thresholds, so a final decision can be made.

Where the RPS 4

- 6 coverage is greater than 20%, an evaluation of the algal species composition (identifying the five most dominant taxa) is also conducted to provide additional information whether

there is no imbalance of flora. Where RPS 4

- 6 coverage is <20%, there is no need to collect samples for
algal species composition because the stream is clearly within the reference site distribution , and
therefore, the algal species composition is presumed to be acceptable

.


### RPS Decision Key

1. Were environmental conditions associated with the RPS samples representative of the typical conditions of the system? ( e.g. , flow between 10 th and 90 th percentile of long term discharge, light penetration characteristic of system, sampling location representative of waterbody segment, etc).
1a. Yes, proceed to coup let 2. 1b. No. Collect additional RPS samples at representative locations and during representative

conditions

, and return to couplet 1.

2. Results of two temporally independent RPS samplings show that RPS rank 4

- 6 is 25% or less?

2a. Yes . Evidence that the waterbody achieves the algal mat component of floral measures (other components must still be evaluated). If RPS rank 4

- 6 results are between 20% to 25%,11 then algal species composition will also be evaluated (see algal species composit ion decision key).
2b. No, evidence that the nutrient standard at 62

- 302.531(2)(c) is not achieved

.



### E VALUATING 

### C HANGES IN 

### S PECIES 

### C OMPOSITION

Changes in algal species composition (through an analysis of autecological information) are also

evaluated usin g the latest scientific references for algal species

. The Department maintains a list of the

scientific references used in this evaluation. While many references are for studies conducted in other
States and other countries, they still provide valuable information concerning nutrient enrichment in

Florida because many of the indicator algal species are distributed worldwide and have been shown to have consistent sensitivity to nutrients wherever found

.

Although the Department conducted a comprehensive study of stream periphyton in Florida in an attempt to formulate a multi

- metric index f or assessing human disturbance ( including nutrient effec ts )

, the statewide data indicated that that the periphyton community composition was more highly
correlated with pH (and conductivity) than to nutrients or measures of human disturbance.
Additionally, common metrics that typically decrease in response to human disturbance in invertebrate
communities, such as taxa richness and diversity

, often increase in algal communities when comparing
oligotrophic to eutrophic streams , meaning such metrics are not useful for assessing anthropogenic
nutrient inputs. Given these constraints

, the Department assesses the environmental information
associated with dominant algal taxa qualitatively using the scientific literature to determine if they are
indicat ive of nutrient enriched/ imbalanced conditions

.

For example, nutrient enriched Florida springs are typically characterized by an abundance of one or
more of the following taxa: Lyngbya wollei, Oscillatoria sp. , Aphanothece sp., Phormidium sp.,
Vaucheria sp. , Spirogyra sp., Cladophora sp., Rhizoclonium sp

. , Dichotomosiphon sp., Hydrodiction sp., Enteromorpha sp., and Chaetomorpha sp. Other algal indicators of nutrient enrichment from the

literature include: Anabaena sp., Euglena sp., Chlamydomonas sp., Scenedesmus sp., Chlorella sp., Rhopalodia spp., Gomphonema spp., Cosmarium sp. , Nitzschia spp., Navicula spp., and Stigeoclonium sp

. Do min ance of such taxa at a stream where the RPS rank 4

- 6 >2 0% would be evidence that the NNC is

not achieved.

As another example of this approach , the Everglades TP criterion was largely based on observed shift s in

the dominant algal taxa from those characteristic of reference conditions ( e.g ., Scytonema sp. , Schizothrix sp.) to taxa indicative of nutrient enriched conditions ( e.g ., Gomphonema parvulum

, Navicula

minima

, Nitzschia amphibia

, Nitzschia palea

, Oscillatoria sp ., Rhopalodia gibba

, Scenedesmus sp ., Anabaena sp. , Cosmarium sp ., and Lyngbya woll ei).12 Because a statewide analysis of algal community metric s (including the percentage of pollution sensitive and pollution tolerant taxa) failed to correlate well (r 2 < 0.1) with human disturbance, this evaluation of
algal community composition in streams must be cond ucted on a site

- specific basis, using the late st

scientific references

. During this assessment , the natural ionic regime (pH, conductivity) should be

taken into account because past studies indicate that pH and conductivity significantly influence the algal community composition. Because of the vari ability associated with algal species composition, site

specific responses are emphasized as part of the weight of evidence approach

. Additional sampling
should be conducted until two temporally independent samplings either attain, or do not attain, the evidentiary thresholds , so a final decision can be made.



### Algal Species Composition Decision Key

1. Were environmental conditions associated with the RPS samples and algal taxonomic collections representative of the typical conditions of the system? ( e .g. , flow between 10 th and 90 th

percentile of long term discharge, light penetration characteristic of system, sampling location representative of waterbody segment, etc.).
1a. No. Collect additional RPS samples and algal taxonomic composition samples a t representative locations and during representative conditions, and return to couplet 1.
1b. If Yes, see couplet 2.

2. Results of two temporally independent RPS samplings show that RPS rank 4

- 6 is 20% or less?

2 a. Yes. Evidence that the waterbody achieves the algal species composition component of
f

loral measures (other components must still be evaluated).

2 b. If No , see couplet 3

.

3

. Do dominant taxa 3 of algal community include taxa known to be nutrient enrichment

indicators ? (see list above and references in Appendix)

. 3 a. Yes. Evidence that the nutrient standard at Rule 62

- 302.531(2)(c) is not achieved

. 3 b. No . This is evidence that the waterbody achieves the algal species composition component of floral measures (other components must still be evaluated ).



### E VALUATING THE 

### P RESENCE OR 

### A BSENCE OF 

### N UISANCE 

### M ACROPHYTE 

### G ROWTH

Another line of evidence to determine if streams are healthy is determining the relative lack of nuisance
macrophyte growth by certain vascular plant taxa that may interfere with designated uses of a
waterbody. The L inear V egetation S urvey (LVS) is a rapid assessment tool for evaluating the ecological

condition of streams based on vascular plants. Because many streams naturally have very little or no vegetation, interpretation of LVS data requires that a minimum of two square meters ( 2 m 2 ) of

3 The Department will evaluate those dominant species that individually constitute approximately 10% or more of the community.13 macrophyte coverage be present throughout a 100 m eter stream reach. If there is <2 m 2 of vascular
plant coverage present in a 1 00 m stream reach, there are no floral imbalances attributable to aquatic plants. LVS results from a stream are compared with LVS results compiled from the population of EPA

reference streams sampled by the Department as part of NNC development. The Depa rtment evaluated

LVS data from the EPA reference streams and found that if a site’s average C of C score is greater than or
equal to 2.5 (the 10 th percentile of the distribution), the plant community composition may be
considered to be part of the reference site distribution. Based on the Department’s experience in
minimally disturbed streams and the types of plants associated with C of C scores greater than or equal

to 2.5 , this threshold was determined to be reasonable and protective.

The Department also analy zed the frequency of occurrence of Florida Exotic Plant Pest Council (FLEPPC)

exotics in the EPA reference streams , and found that

, due to the influence of a few streams at the 90 th

percentile, FLEPPC exotics made up approximately 40% of the total plant occurrences. Considering the

somewhat limited number of reference streams with vascular plants (nineteen) and the variability in the

data , the Department decided to set the F LEP P C threshold at the 80 th percentile of the distribution.
Therefore, if the frequency of occurrence of FLEPPC exotics at a site is less than or equal to 25% of the
total plant occurrences (the 80 th percentile of the distribution) , the site may be considered to be part of

the reference site distribution.

Therefore, i f a site’s average C oefficient of C onservatism (C of C) score is > 2.5 and the frequency of

occurrence of FLEPPC exotic taxa is < 25% of the total plant occurrences in two independent samples

, this would indicate no imbalance of flora. Because of the inherent temporal variability in aquatic plant
communities, two temporally independent LVS assessments should be conducted. If a stream segment’s C of C score is < 2.5 and the frequency of occurrence of FLEPPC exotic taxa is > 25% during
two consecutive, temporally independent samplings, the Department considers this as evidence that the

NNC is not achieved. While variability of LVS sampling is typically low, i f the tw o samples have differing results in relation to the evidentiary threshold, then the preliminary analysis of this metric alone is inconclusive. Reviewing other data, information, or water quality/biology variables can help inform the

reasons behind the dif fering results. Additional sampling should be conducted until two temporally independent samplings either attain, or do not attain, the evidentiary thresholds, so a final decision can

be made.



### LVS **Decision Key** 

1. Were environmental conditions associated with the LVS samples representative of the typical conditions of the system ( e.g. , flow between 10 th and 90 th percentile of long term discharge,
light penetration characteristic of system, sampling location represen tative of waterbody segment, etc.).

1a. No. Collect additional LVS samples at representative locations and during representative
conditions, and return to couplet 1.
1b. Yes, pr o ceed to couplet 2.14 2. Given that invasive exotic species can occur even in the absence of nutrient impacts and that
aquatic plant management practices can also affect LVS results, i s there evidence the LVS results can be linked to anthropogenic nutrient inputs ?
2a. Yes, proceed to couplet 3.

2b. No. The LVS results are inconclusive and other lines of floral evidence should be used.

3. Results of two temporally independent LVS samplings show that C of C score is > 2.5 and the
frequency of occurrence of FLEPPC exotic taxa is < 25% ?

3a . Yes. Evidence that the waterbody achieves the nuisance macrophyte growth component of
floral measures (other components must still be evaluated).

3b . No

. Evidence that the nutrient standard at 62

- 302.531(2)(c) is not achieved

.



### E VALUATING 

### A LGAL 

### B LOOMS 

### , C HLOROPHYLL A 

### , AND 

### P HYTOPLANKTON 

### T AXONOMIC 

### D ATA

A n annual geometric mean chlorophyll value of >20 μg/L is used as an impairment threshold for both

lakes and streams in Chapter 62

- 303

, F.A.C. However, it is commonly understood that healthy la kes in
Florida may be characterized by annual geometric mean chlorophylls up to 20 μg/L , while most healthy
streams would be expected to have significantly lower chlorophyll a levels. While this impairment

threshold for streams was supported by an expert panel of Florida scientists that helped the
Department develop the Impaired Waters Rule (IWR)

, neither the expert panel nor a review of stream
chlorophyll a literature was able to identify a stream chlorophyll a value below 20 μg/L that definitively
did, or did not, support aquatic life uses

.

Th e range in “healthy” stream chlorophyll a values is due to a variety of site specific factors, such as system morphology, water residence time, and presence of lentic taxa may indicate a healthy aquatic

stream in a natural transition from a lotic to lentic system during the time period studied

. While the
Department compares the c hlorophyll a results from a stream to chlorophyll a results compiled from the
population of minimally disturbed and healthy sites that was sampled by the Department as part of NNC
development , these site specific factors must also be taken into account

. If a stream exhibits annual
geometric mean chlorophyll a concentrations between the mean observed at these minimally distur bed

and healthy sites (2.0

- 2.1 μ g/L) and the associated 90 th percentile values (3.2

- 3.5 μ g/L), this is a clear
indication of no imbalance of flora. However, some Nutrient Benchmark streams and biologically healthy streams also exhibit annual geometric mean chloro phyll a values up to 17 μg/L and 19 μ g/L,
respectively

. Because the remaining distribution of observed annual geometric mean chlorophyll a values includes values approaching the IWR impairment threshold (and higher percentiles of the

distribution actually exceeded it), the Department chose to continue to utilize 20 μg/L as a chlorophyll
impairment threshold. Therefore, s treams with annual average chlorophyll values between 3. 2 μg/L and

20 μ g/L are evaluated on a site specific basis, and factors such as water residence time, flow, color, climatological conditions, and size of the stream/river ( i.e. , stream order) are considered when
chlorophyll a values are within this range. If a site has chlorophyll va lues within the 3. 2 μg/L to 2 0 μ g/L

range , the assessment is inconclusive until the Department documents a decision regarding whether chlorophyll a conditions reflect and imbalance in flora or not. When the Department determines that15 the values indicate enrichment ( e.g. , are higher t han functionally similar reference streams in the
region ) , the Department considers this evidence of imbalances in flora , and vise versa

.

The Department also assesses trends in chlorophyll a using a temporal trend test (a Mann’s one

- sided,

upper

- tail test for trend, with a 95% confidence interval) in conjunction with the chlorophyll a impairment threshold. The observation of a statistically significant increase in chlorophyll a in a stream

i s another line of evidence used by the Department to determine floral imbalances.

The Department also uses the presence of phytoplankton blooms as an indicator of floral imbalances.
An unacceptable phytoplankton bloom would consist of a situation where an algal species, whose noxious characteristics or presence in sufficient number, biomass, or areal extent

, may reasonably be
expected to prevent, or unreasonably interfere with, the designated use of a waterbody. The
Department evaluates the autecological information for the dominant bloom species, in conjunction
with the associated chlorophyll a when assessing imbalances of flora.



### Chlorophyll/Algal Bloom Decision Key

1. Were environmental conditions associated with the chlorophyll samples representativ e of typical conditions for the system? ( e.g. , flow between 10 th and 90 th percentile of long term discharge, light penetration characteristic of system, sampling location representative of waterbody segment, etc.).
1a. No. Collect additional chlorophyll samples at representative locations and during representative conditions, and return to couplet 1.
1b. If Yes, see couplet 2.

2. Annual geometric mean chlorophyll < 3.2 ug/L?

2 a. Yes. Evidence that the waterbody achieves the chlorophyll a/algal bloom component of
floral measures (other components must still be evaluated).

2 b. If No , see couplet 3.

3. Annual geometric mean chlorophyll > 20 ug/L more than once in a three year period?

3 a. Yes. The narrative nutrient standard at 62

- 302.531(2)(c) is not achieved

. 3 b. No, annual geometric mean chlorophyll is between 3.2 and 20 ug/L , see couplet 4.

4

. After considering site specific factors that affect chlorophyll concentrations , such as system
morphology, water residence time, or consisten cy with other functionally similar reference sites

, can it be documented that the chlorophyll a values represent a healthy well balanced
phytoplankton community ?

4 a. Yes. Evidence that the waterbody achieves the chlorophyll a/algal bloom component of
floral mea sures.

4 b. No

. Evidence that the nutrient standard at 62

- 302.531(2)(c) is not achieved.16 4c

. Inconclusive because of insufficient contemporaneous data from other functionally similar

reference sites. Waterbody will be placed on the Study List if either of the TN or TP

thresholds were exceeded

.



### F LORAL 

### M EASURES 

### S UMMARY

As described above, the Department derived the floral thresholds that are used for this “weight of

evidence evaluation” using a distribution of a population of minimally disturbed Benchmark streams (the same streams used by EPA for their criteria development)

. T he thresholds summarized in Table 3

can be used when developing evidence supporting a Department conclusion regarding the balance of the floral community

. If a ll floral measures are achieved , a stream meets the floral component of a
healthy, well balanced aquatic system

, because it is within the minimally disturbed Benchmark stream

condition

. However, if any one these floral measures indicates an imbalance, the n the stream does not

attain the NNC

. Examples of this application of scientific reasoning are provided below.

Table 3. Floral measures summary. These values were based on the distribution of a population of
minimally disturbed Benchmark sites sampled by the Department as part of Numeric Nutrient Criteria
development (the same benchmark sites EPA used for their criteria)

.

Floral Metric Evidentiary Threshold of No Imbalances

LVS C of C Site a verage > 2.5

LVS FLEPPC Site a verage < 25%

RPS < 25 % rank 4

- 6 coverage 20 to 25 % rank 4

- 6 coverage, evaluate algal autoecological data

Chlorophyll < 20 ug/L; 3. 2 to 20 ug/L = site specific

Algal Community Composition ( Autecology ) No adverse shifts in dominant taxa



### F AUNAL 

### E VALUATION FOR 

### D ETERMINING 

### A CHIEVEMENT OF 

### NNC

Paragraph (2)(c) requires a demonstration that a stream has well

- balanced populations of flora and

either attains the Nutrient Thresholds or has healthy , well balanced fauna

. The presence of healthy

fauna can be shown through the Stream Condition Index (SCI).

The SCI is a biological assessment procedure that measures the degree to which flowing fresh waters
support a healthy, well

- balanced biological community, as indicated by benthic macroinvertebrates

. Th e Department and EPA have concluded that a balanced faunal community is achieved if the average score
of at least two temporally independent SCIs, performed at representative locations and times, is 40 or17 higher, with neither of the two most r ecent SCI sco res less than 35. To qualify as temporally
independent samples, each SCI must be conducted at least three months apart. SCIs collected at the same location less than three months apart will be considered one sample, with the mean value used to
represent the sampling period.

Attainment of the SCI threshold is an indication that the faunal community of the stream is not being adversely affected by nutrients to the extent that there is a loss in designated use. However, failure of

the SCI does not necessarily mean that the stressor causing the loss of designated use is nutrients.
Evaluation of other factors, as indicated by the nutrient enrichment model in Figure 2 (including nutrient

concent rations and floral communities) is useful information that could indicate nutrients are a factor.
While the stressor may not be known, a failed SCI does indicate that fauna is not well

- balanced.

Alternatively, if the benchmark N utrient T hresholds in the T able in paragraph (2)(c) are attained, then
the faunal community of the stream is presumed healthy with respect to nutrients, because the benchmark thresholds were derived using nutrient levels in high quality, minimally disturbed streams.
However, regardless of attainment of benchmark thresholds, if SCI results are available and a stressor
identification study demonstrate that the faunal community is not healthy as a result of nutrients, then

the stream will be listed as impaired for nutrients.

In summ ary, where the Nutrient Thresholds are exceeded but there are no imbalances in either aquatic flora (phytoplankton, periphyton, or vascular plants) or fauna (invertebrate community), the NNC is

achieved.



### E XAMPLES OF A 

### W EIGHT


### - OF 

### -E VIDENCE 

### A PPROACH FOR 

### D ETE RMINING 

### A CHIEVEMENT OF 

### N UTRIENT 

### C RITERIA

To evaluate whether a stream achieves the NNC , the investigator must compile water chemistry data ( e.g. , Total Nitrogen [TN], Total Phosphorus [TP], chlorophyll a , and ancillary parameters such as color, turbidity, DO, pH, conductivity, and temperature, nitrate, etc.) and a minimum of two samples of each of

the follo wing: RPS, LVS , HA, and SCI. Taken together, these data are used as multiple lines of evidence
to decide whether a stream is healthy, with acceptable levels of nutrients. Supporting parameters, such as color and nitrate, are used to help determine nutrient sources ( e.g. , high colored swamps have
naturally elevated TN; very clear groundwater

- fed systems may have elevated nitrate). Examples of

how the Department evaluates these multiple lines of evidence are provided in Table 4 and discussed

below.

In Stream 1, although the RPS data showed a pulse of periphyton (which consisted of the generally non

problematic alga, Oedogonium ), it was not persistent, meaning the RPS results were acceptable.
Because no plants were found in the water, the LVS results indicated no imbalances. However, an
increasing trend was observed in annual chlorophyll a (using a Mann’s one

- sided, upper

- tail test for
trend, with a 95% confidence interval), and the chlorophyll values exceeded those typically observed in
healthy streams. Although the SCI score was currently acceptable and habitat was not limiting, the
Department concluded that the chlorophyll issue, following the concep tual model in Figure 2 , was sufficient to judge that this stream has impaired flora. It is likely that the increased organic matter18 enrichment associated with the excess phytoplankton (as indicated by the chlorophyll) would eventually

lead to faunal imbal ances.

Stream 2 was characterized by significant algal smothering, as demonstrated through the RPS results.
Taxonomic identification showed the algae community to be dominated by Lyngbya , a known nuisance
species. Although the vascular plant community, as assessed using the LVS, was within the range of reference streams, and chlorophyll a was non

- problematic, the algal growth resulted in aquatic habitat smothering (a component of the HA), which likely led to the failing SCI score. The Department

conclude d that the RPS results, coupled with a poor habitat smothering score, was evidence that stream 2 has impaired flora, which in turn caused impaired fauna. These responses are consistent with the

nutrient enrichment model.

Although periphyton and chlorophyl l a were not issues in stream 3, the HA and LVS results showed that
the invasive exotic vascular plant, Hydrilla, was excessively abundant, leading to imbalances of flora. An

increase in Hydrilla abundance was associated with reduced substrate diversity a nd failing SCI scores,
meaning the elevated nutrient levels were associated with imbalances in flora and fauna, consistent
with the nutrient enrichment model. This situation is complicated because invasive exotic plants can be

observed even without nutrie nt enrichment. It is important to review other information, including the
levels of nutrients in the waterbody that could contribute to species proliferation. In this circumstance,
the Department concluded that excess anthropogenic nutrients exacerbated the floral community
imbalances as evidenced by the LVS results.

Stream 4 is a minimally disturbed Benchmark stream with TN and TP levels at the upper 98 th percentile
of the data distribution used to establish the regional Nutrient Threshold. The RPS and SCI indicated normal, healthy conditions. No plants were observed in the water, meaning the LVS was acceptable.
However, an annual chlorophyll a value of 10.5 μg/L was observed in one year, which is between the 3.5 to 20 μg/L range, and site specific inf ormation was subsequently evaluated. In this case, a drought year was associated with the moderately elevated chlorophyll, and other nearby reference streams also
exhibited similar increases in chlorophyll. The algae associated with the elevated chloroph yll included
the diatoms, Achnanthes exiguum

, Anomoeneis vitrea , and Cymbella minuta , which are normally found in reference streams. The Department concluded that the drought conditions were associated with the
chlorophyll value, and that this level was within the variability of the reference site data. Because the
SCI was healthy and there were no other indicators of nutrient issues, the Department concluded that
nutrient levels associated with Stream 4 are acceptable and the NNC is achieved.19 Table 4

. Examples of RPS, LVS, chlorophyll a , HA, and SCI data used to illustrate a multiple lines

- of

evidence approach used by the Department for determining whether or not a stream exhibits imbalances of flora or fauna. In these examples, TP, TN, or both nutri ents exceed the regional Nutrient

Threshold values

.

Measure Sample

# Stream 1

1 2 3 4 5 6

RPS (% Rank 4

- 6) 1 21 45 4 8 3 26

2 2 65 7 15 0 37

LVS Avg. C

of C 1 No
vegetation 2.6 1.9 No
vegetation 3.5 1.8

2 No
vegetation 3.2 0.5 No
vegetation 4.2 2.4

FLEPPC % 1 No
vegetation 12 45 No
vegetation 0 31

2 No

v egetation 4 74 No
vegetation 0 26

Chlorophyll (μg/L

as annual
geometric mean) Year 1 17.2 1.1 Non

Detect 10 .5 3.5 1.3

Year 2 22.1 2.1 Non

Detect 1.2 4.1 1.1

Increasing
Chlorophyll Trend Yes No No No No No

Habitat

Assessment 1 121 109 105 133 81 110

2 113 102 98 126 77 107

SCI 1 45 44 39 67 22 42

2 39 33 29 58 31 39

1 In these examples, TP, TN, or both nutrients exceed the regional Nutrient Threshold values. No vegetation = No
plants in water, therefore, LVS results indicate no imbalance

.20 Floral measures at stream 5 were non

- problematic, despite nutrient concentrations that exceeded the
regional t hreshold values. No primary or secondary nutrient responses, as described by the nutrient
enrichment model, were observed, but the SCI indicated impaired fauna. The SCI results, combined with
higher levels of nutrients, lead to the conclusion that the NNC is not achieved. In this case however,
habitat assessment results indicated artificial channelization, poor substrate diversity and availabilit y, and a compromised riparian buffer zone. Observations also indicated extensive hydrologic
modifications in the drainage basin. These habitat and hydrologic factors were evaluated as part of a
TMDL process, prior to initiating a TMDL. After an evaluati on of all stressors (through a stressor identification study), habitat and hydrologic improvements were found to be the stressors affecting
stream health, and not nutrient concentrations. The Department would then evaluate this stream
under a site specifi c structure described in Rule 62

- 302.531, F.A.C.

In stream 6, both the RPS and LVS results suggested early warnings of nutrient enrichment, with
persistent periphyton coverage and changes in the vascular plant community, even though chlorophyll a and SCI results were acceptable. The periphyton community was dominated by Vaucheria , a known
nuisance species, while the vascular plants, Alternanthera philoxeroides and Panicum repens (two FLEPPC exotics), were moderately abundant. Habitat assessment results indicated moderate
smothering by the periphyton and a reduction in substrate diversity associated with the exotic plant
growth. The Department concluded that this was sufficient evidence of floral imbalances, which if

allowed to continue without interventio n, would also result in faunal imbalances, as predicted by the

nutrient enrichment model

.



### S TREAM 

### S AMPLING 

### L OCATIONS AND 

### O THER 

### E NVIRONMENTAL 

### C ONSIDERATIONS

When conducting nutrient studies, it is important to confirm that sampling locations and other

enviro nmental conditions (canopy cover, habitat, water depth and flow, etc.) are representative of the
system and that water quality data are collected in the same homogeneous waterbody segment as the
biological monitoring stations. Establishing spatial relatio nships between the water quality data and biological health data is dependent upon the homogeneity of the stream or stream segment. In stream segments that have homogeneous nutrient concentrations, at least one biological station (for floral and

faunal me asures) should be sampled during two temporally independent time periods. If a stream is not
homogeneous with regard to nutrients, the stream should be divided into homogeneous units (segments), and the biological evaluation conducted for each segment.

T he following elements should be addressed when sampling to evaluate attainment of the NNC in paragraph 62

- 302.530(47)(b), F.A.C., and to affirmatively demonstrate that nutrients are not adversely
affecting flora and fauna:

1. Biological sampling locations sho uld be selected to reduce or eliminate the effects of
confounding variables. Sampling should be conducted in areas where other physical factors,
especially habitat and hydrology, do not limit biological expectations. Efforts should be taken to

establish sites in stream reaches (where possible) with minimal hydrological modifications and
optimal habitat, including adequate substrate diversity and availability, intact stream21 morphology (minimal or no artificial channelization), adequate velocity and flow, a nd optimal riparian buffer zones (see the Department’s SOP FS 3000 for Habitat Assessment procedures).
Sites should also be selected where light penetration through the tree canopy is representative of the stream segment ( i.e. , avoid bridge or powerline c rossings where the canopy has been artificially changed in a relatively small area). While care should be taken to minimize confounding factors, sampling locations should be sited within stream segments that are
representative of typical conditions. Additional information on controlling for the effects of
confounding factors is presented in the SCI Primer.

2. A ll biological sampling should be conducted consistent with the Department’s Standard Operating Procedures (SOPs) and SCI Primer.

3. Water quality stations should be located where there is a clear relationship between the
nutrient regime and the system’s biological health, as assessed using either the floral or faunal
measures. For streams, this means that site

- specific information should be rel ied upon to

ensure that the biological sampling site (s) provide response information representative of
potential effects caused by nutrients in the system

. Therefore , site

- specific confounding factors
and the potential for downstream expression of nutrien ts should be considered when determining sampling locations. For example, if a discharge or tributary significantly influences
the nutrient concentrations in an area associated with the biological collection site, then data
from stations located upstream of that discharge should not be used for establishing the
ambient values associated with the biological data.

4. Unless a very large data set has been established, sampling during extreme climatic or
hydrologic conditions, such as floods, droughts, or hurricanes, should be avoided.



## Nutrient Criteria in Estuaries

Rule 62

- 302.532 , F.A.C., contains estuary

- specific numeric interpretations of the NNC in paragraph 62

- 302.530(47)(b), F.A.C., for estuaries along the Southwest Coast (roughly from Tampa Bay to Mia mi and the Florida Keys) . These criteria were developed individually for each estuary segment to protect

recreation and a healthy, well

- balanced population of fish and wildlife , and are hierarchy 1
interpretations pursuant to paragraph 62

- 302.531(2)(a), F. A.C . The concentration

- based estuary
interpretations are open water, area

- wide averages.


# Decision Matrix and Examples for Implementing the Hierarchical Process

The Department has developed a decision matrix for assessing the stream nutrient thresholds in Rule

62

- 302.531(2)(c), F.A.C. ( Table 5) and e xamples that illustrate how Florida’s numeric nutrient criteria are22 assessed using the hierarchical framework. For both the matrix and the examples, the following
assessment categories 4 , were used :

• 1 - Attaining all designated uses;

• 2 - Attaining some designated uses and insufficient or no information or data are present to
determine if remaining uses are attained;

• 3A - No data and information are present to determine if any designated use is attained;

• 3B- Some data and information are present but not enough to determine if any designated use
is attained;

• 3C - Potentially impaired, exceedances meet the requirements of the Impaired Waters Rule for
placement on the Planning List;

• 4A - TMDL developed, additional sampling would be used to gauge success of TMDL;

• 4B - Impaired but TMDL not needed (Reasonable Assurance activities underway);

• 4C - Fails criteria but due to natural condition. In this case, the generic criteria are
inappropriate, and development of a “natural background” (Type I) SSAC may be warranted;

• 4D - Fails criteria but causative pollutant has not been determined, therefore, a pollutant cause

effect study is needed;

• 4E - Impaired, but restoration ongoing; and

• 5 - Impaired. Fails criteria and causative pollutant identified.

4 The assessment categories are the same as those in the Department’s Integrated Report

.23 Table 5. Decision m atrix for a ssessment of s tream n utrient t hresholds in Rule 62

- 302.531(2)(c), F.A.C. Reasonable Assurance is demonstrated for near

- field
effects when the receiving streams is shown to “A ttain .531(2)(c)”. This table does not address increasing trends in nutrient concentrations, and increasing
trends in nutrient causal or response variables can result in placement of waterbodies on the Study List or Verified List [ 303(d) List ] independent of the
conclusion articulated in this table. Assessing Stream Biological Health using the SCI pursuant to the biological health assessment provisions of the IWR is
conducted concurrently to the Nutrient Assessments described in this table as follows: If only 1 SCI is available and it is <35 , the water is placed on the
Planning List, Cat. 3c for biology; If only 1 SCI is available and it is >35 , the water is placed in Cat. 3b for biology; If the 2 most recent SCIs have 1 sample <35 or

the aver age is <40 , the water is placed on the Study List, Cat. 4d for biology to conduct a Stressor Identification (SI) study to determine causative pollutant(s).

If the SI study determines a pollutant is responsible for the biological impairment , the water is p laced on the Verified List, Cat. 5. If the SI study determines nutrients are responsible (even if nutrient thresholds are attained), then 62

- 302.531(2)(c) is Not Attained , and the water is placed on the Verified List, Cat. 5.

If the 2 most recent SCIs a verage 40 or higher, and neither is <35 , then the water is placed in Cat. 2.

Attains Nutrient Thresholds for Both TN and TP (3 Years of Data) Nutrient Threshold Attainment Inconclusive for Either

TN or TP (< 3 Years of Data) At Least One Nutrient Threshold Not Attained (3 Years of Data)

SCI Attains (2 Samples) SCI
Inconclusive (<2 Samples) SCI Not
Attained

(1 or 2 Samples) SCI Attains SCI
Inconclusive SCI Not Attained SCI Attains SCI Inconclusive SCI Not Attained

Attains
Floral

Measures (2 Sampling

Events) Attains .531(2)(c)

Cat. 2 Attains .531(2)(c)

Cat. 2 Attains .531(2)(c)

Cat. 2 Attains .531(2)(c)

Cat. 2 Cannot
Conclude .531(2)(c)

Assessment

Cat. 3b Cannot Conclude .531(2)(c)

Assessment

Cat. 3b Attains .531(2)(c)

Cat. 2 Cannot Conclude .531(2)(c)

Assessment

Cat. 4d (Study &

303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified &

303(d) List)

Floral

Measures
Inconclusive (<2 Sampling

Events) Cannot
Conclude .531(2)(c)

Assessment

Cat. 3b or 3c(Planning List) Cannot
Conclude .531(2)(c)

Assessment

Cat. 3b or 3c(Planning List) Cannot
Conclude .531(2)(c)

Assessment

Cat. 3b or 3c(Planning List) Cannot
Conclude .53 1(2)(c)

Assessment

Cat. 3b or 3c(Planning List) Cannot
Conclude .531(2)(c)

Assessment

Cat. 3b or 3c(Plann ing List) Cannot Conclude .531(2)(c)

Assessmen t

Cat. 4d (Study &

303(d) List) Cannot
Conclude - .531(2)(c)

Assessment

Cat. 4d (Study &

303(d) List) Cannot Conclude .531(2)(c)

Assessment

Cat. 4d (Study &

303(d) List) . 531(2)(c) Not

Attained

Cat. 5 (Verified & 303(d) List)

Any One

Floral

Measure Not

Attained (2 Sampling

Events) .531(2)(c) Not
Attained

Cat. 5 (Verified & 303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified & 303(d) List) .531(2)(c) Not
Attained

Cat 5 (Verified & 303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified & 303(d) List) .531(2)(c) Not
Attained

Cat/ 5 (Verified & 303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified &

303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified &

303(d) List) .531(2)(c) Not
Attained

Cat . 5 (Verified &

303(d) List) .531(2)(c) Not
Attained

Cat. 5 (Verified &

303(d) List)24 

## Hierarchies 1 and 2

E XAMPLES OF 

### H IERARCHY 

### 1

Hierarchy 1 – TMDLs, nutrient SSACs, Level II WQBELs and other Department approved actions such as

RA plans are the applicable numeric interpretation of the narrative nutrient criteria

, subject to EPA

review

.

• Freshwater Portions of the Lower St. Johns River

o Status : Has a nutrient TMDL for TN and TP

.

o Action required : Assessed as category 4a. No additional action required. Implement

TMDL and BMAP as planned.

• Marine Portion of the Lower St. Johns River

o Status: Has a TMDL for TN.

o Action required : Assessed as category 4a. Implement TN TMDL and BMAP as planned.
Continue to implement the narrative for TP until applicable NNC adopted.



### E XAMPLES OF 

### H IERARCHY 

### 2

Hierarchy 2 – Numeric interpretation of the narrative criterion based on an established, quantifiable
understanding of the stressor-response relationship between nutrient concentrations and b iological imbalance. Currently this relationship has been determined only for freshwater springs and lakes.

• Lithia Springs

o Status : Has no site specific interpretation, but exceeds the springs

- specific stressorresponse based nitrate criterion of 0.35 mg/ L.

o Action required : List the spring as Verified Impaired (category 5) and take action to achieve the 0.35 mg/ L nitrate criteri on . A Basin Management Action Plan (BMAP) will
be developed that addresses sources of nitrogen in the springshed.

• Silver Springs

o Status : Has no site specific interpretation, but exceeds the springs

- specific stressorresponse based nitrate criteri on of 0.35 mg/ L.

o Action required : List the spring as Verified Impaired (category 5) and take action to achieve the 0.35 mg/ L limit as nutrient criteri on . Silver Springs has a TMDL scheduled to be complete in 2012, which will move it to Hierarchy 1. A BMAP will be developed
that addresses sources of nitrogen in the springshed.25 • Lake Harney

o Status : Has no site specific interpretation. Mee ts the lakes nutrient and chlorophyll a

criteria and Lake Vegetation Index results indicate a healthy plant community

.

o Action required : Not impaired (category 2)

, and no additional action required.

• Lake Gibson

o Status : Has no site specific interpretation. Meets the lakes chlorophyll a criteria

, but
exceeds the upper range of the TP criterion

.

o Action required : List the lake as Verified Impaired (category 5) and develop nutrient TMDL, which will serve as primary site specific nutrient interpretation. May also be a
candidate for a SSAC since the chlorophyll a criteria is met (provided vascular plant
community, as measured by the LVI, is also healthy)

.

• Lake Istokpoga

o Status : Has no site specific interpretation. Excee ds the lakes chlorophyll a criteri on more than once in a three year period.

o Action requi r ed : Place on Verified List (category 5) for nutrient impairment and develop
nutrient TMDL, which will serve as primary site specific nutrient interpretation.



## Hierarchy 3

Hierarchy 3 – As described in Table 5, the n umeric interpretation of the narrative criteri on is based on a

combination of reference

- based nutrient thresholds and biological information (currently limited to
streams, excluding intermittent syste ms , canals/ditches , and South Florida region ) 5

. Streams can fall

into the following main categories at the end of the Phase 2 assessment of the Watershed Management
Cycle :

a. Waters that meet the nutrient thresholds and have sufficient data to document they have
healthy flora . These waters are deemed to attain the NNC (category 2)

.

b. Waters that exceed the nutrient thresholds, but are biologically healthy (both flora and fauna)

. These waters are deemed to attain the NNC (c ategory 2)

.

c. Waters that exceed the nutrient thresholds, but there is insufficient information to fully assess
the biological health of the stream. These waters are placed on the Study List (category 4d)

.

5 Streams are also independently assessed using the nutrient impairment thresholds in the IWR (20 ug/L chlorophyll a , for example).26 d. Waters that meet the nutrient thresholds, but there is insufficient information to assess the
floral community. These waters will be placed on the Planning List for additional study (category
3c)

.

e. Waters that meet the nutrient thresholds, but are not biologically healthy . These waters will be
placed on t he Study List to determine the causative pollutant (category 4d) . If the causative
pollutant is determined to be a nutrient, the waterbody will be listed on the Verified List (category 5) for nutrient impairment even if the nutrient thresholds are attaine d.

f. Waters that exhibit an imbalance of flora, or exceed the nutrient thresholds and are not
biologically healthy (fauna)

. These water s are placed on the Verified List (category 5)

.

For category “ f ” waters above where nutrients are identified to be a cau sati ve pollutant , the Department will develop a site specific response (such as a TMDL), at which point the waterbody would
fall under “Hierarchy 1” after formal Department action (with subsequent EPA approval)

.



### E XAMPLES OF 

### H I ERARCHY 

### 3

 Waters achieving the nutrient thresholds that are also biologically healthy.

• Little Manatee River

o Status : Has no primary site specific interpretation, but satisfies reference

- based nutrient
thresholds and is determined to have healthy biology (both flora and fauna)

.

o Action required : No additional action required. Place assessed condition in category 2

of the I ntegrated R eport.

 Waters that exceed the nutrient thresholds, but are biologically healthy.

• Econfina River

o Status : Has no primary site specific interpretation. Exc eeds reference

- based nutrient thresholds due to natural swamp inputs, but has sufficient floral and faunal information
to determine that it is biologically healthy.

o Action required : Achieves NNC

. No additional action required. Place assessed condition
in category 2 of the integrated report.

• Aucilla River

o Status : Has no primary site specific interpretation. Exceeds reference

- based nutrient
thresholds due to natural swamp inputs, has evidence of healthy fauna (SCI), but
requires further study to gather additional required floral information.

o Action required : Place on Study List to gather sufficient floral data to make final

determination. Place in Category 4d.27  Waters that meet the nutrient thresholds, but are not biologically healthy based on either failing

SCIs or floral measures

. Waters with failing SCIs are placed on the Study List to identify stressor/causative factor(s), or are placed directly on the Verified List if stressor/ causative

information is available

. Waters with evidence of imbalance based on floral measures are placed
directly on the Verified List.

• Weeki Wachee River

o Status : Has no primary site specific interpretation. Achieves reference

- based nutrient
thresholds, but is determined not to be biologically healthy due to failing SCI and excess
algal mats

.

o Action required: Because floral information is available, bypass Study List and p lace on Verified List for nutrient impairment (due to excess algal mats) and develop nutrient
TMDL, which can serve as primary and independent site specific nutrient interpretation.
The Department will provide documentation for the record to demonstrate how the biological data indicate an imbalance in flora and/or fauna. Place assessed condition in
category 5 of the I ntegrated R epor t.

• Huckleberry Creek

o Status : Has no primary site specific interpretation. Achieves reference

- based nutrient thresholds, but is determined not to be biologically healthy due to excess nuisance plant
growth.

o Action required: Because floral information is available, bypass Study List and place on Verified List for nutrient impairment (due to excess nuisance plant growth) and develop
nutrient TMDL, which will serve as primary site specific nutrient interpretation. The
Department will provide documentation fo r the record to demonstrate how the biological data indicate an imbalance in flora and/or fauna. Place assessed condition in
category 5 of the I ntegrated R eport.

 Waters that meet the nutrient thresholds, but do not have biological data ( floral measures ).

• Halls Branch

o Status : Has no primary site specific interpretation. Achieves reference

- based nutrient
thresholds, but no biological data are available.

o Action required: Place on Planning List to gather sufficient floral data to make final

determination. Place in Category 3b.

 Waters that exceed the nutrient thresholds and are not biologically healthy.

• New River

o Status : Has no primary site specific interpretation. Exceeds reference

- based total
phosphorus threshold and is not biologically healthy based on m ost recent SCI result s.28 Action required: Place on Verified List for nutrient impairment and develop nutrient TMDL, which will serve as primary site specific nutrient interpretation. The water could

be delisted for nutrients if a Stressor Identification S tudy determines that factors other
than nutrients are responsible for the degradation. Place assessed condition in category

5 of the I ntegrated Report.



## Waterbody Types and Cases with Insufficient Information

In t ypes of aquatic systems where the Department does not have sufficient information to accurately develop generally applicable NNC , such as Class III wetlands. The Department will continue to rely on existing assessment provisions contained in the Impaired Waters Rule to list these waterbodies. The Department will numerically interpret the narrative criterion as the information is developed

.



## Other Components of NNC

• Attainment of the narrative criterion is a ssess ed over a spatial area consistent with its

derivation. For Tier 1 numeric interpretations based on paragraph 62

- 302.531(2)(a),
F.A.C., the spatial application of the numeric interpretation is as defined in the
associated order or rule. For lakes, the numeric interpretation shall be applied as a lake

wide or lake segment

- wide average. Except for extremely large lakes (e.g., Lake Okeechobee, which has been subdivided), the lakes criteria apply to lakewide averages.
For spring vents, the numeric interpretation shall be applied in the surface water at or above the spring vent. For streams, the spatial application of the numeric
interpretation shall be determined by relative stream homogeneity and shall be applied
to waterbody segments or aggregations of segments as determined by the site

- specific

considerations. The stream nutrient thresholds were derived though a distributional
analysis of data from homogeneous reference stream segments , with the spatial extent
of each stream segment typically measuring approximately five linear miles

. Two or more stream segments may be combined if the nutrient data are homogeneous, which
is evaluated through routine statistical tests, such as Analysis of Variance or Student’s t

test

, and if the results show that the seg ments are not significantly different at the 90 percent confidence level

. Data will be transformed ( e.g ., log) prior to statistical analysis
if the data are not normally distributed.

• Except for data used to establish historic chlorophyll a levels, chlorop hyll a data shall be measured according to the Department document titled “Applicability of Chlorophyll a Methods” (DEP

- SAS

- 002/10), and be corrected for, or free from, the interference of
phaeophytin.

• If there is more than one hierarchy 1 interpretation f or a given waterbody, the most recently adopted interpretation controls

.29 

## NNC and Protection of Downstream Waters

Protection of downstream waters is required in the new nutrient standards by the statement, “The
loading of nutrients from a waterbody shall be limited as necessary to provide for the attainment and
maintenance of water quality standards in downstream waters.” This provision is implemented by the Department by:

• Using models to a llocat e to upstream watersheds when establishing the TMDL for the
downstream waterbody ;

• Requiring dischargers

, at the time of permit issuance

, to provide reasonable assurance
that their effluent does not cause or contribute to nutrient impairments in the receivin g waterbody and downstream waterbodies; and

• Identifying trends in nutrient concentrations in all waters, including downstream waters

, during the assessment cycle

.



### W ATER 

### Q UALITY 

### M ODELING

A watershed model , such as WASP or LSPC, can be applied to ensure t hat the narrative downstream
water quality standard is achieved when developing and allocating TMDLs and when developing nutrient

SSACs

. T he model can be used to ensure that “ loading of nutrients from a waterbody shall be limited as
necessary to provide f or the attainment and maintenance of water quality standards in downstream

waters.”



### I SSUANCE OF 

### NPDES P ERMITS

A n upstream regulatory decision, such as a permit issuance, might be executed by evaluating the

nutrient conditions of near

- field and downstrea m waterbodies. E valuating near

- field conditions was

described earlier . Do wnstream evaluations can be conducted similarly. For example, if a downstream
lake is currently attaining its nutrient standards, then current conditions in the upstream waters pro vide

for that attainment condition ( i.e

., loading of nutrients from the waterbody would be limited at current
conditions to provide for the continued attainment and maintenance of water quality standards in

downstream waters ) . However, a L evel II WQBEL will be needed to evaluate the impacts on
downstream waters if the facility requests an increase in their permitted load

.

If a downstream waterbody is not attaining nutrient standards, the permit could not be issued until
reasonable assurance was provided that the facility’s discharge was not contributing to the impairment.
This can be done in response to a Department adopted TMDL , or through independent modeling
conducted in the watershed. Once modeling is conducted, the results of that modeling can be used to

ensure that loading of nutrients from the upstream waterbody is limited as necessary to provide for the attainment and maintenance of the water quality standards of downstream waters.30 

### E VALUATION OF 

### T RENDS

E ven if both upstream and downstream water s are currently attaining nutrient standards or in situations

where information for downstream waters is not available , the Department’s nutrient standards include

an evaluation of trends to ensure that conditions are not increased in a manner that could r esult in
impairment downstream. Pursuant to Chapter 62

- 303, F.A.C., t he Department assesses whether there is

an adverse trend in nutrients ( nitrate

- nitrite, TN or TP) or a nutrient response variable (chlorophyll a )
and if the waterbody is expected to beco me impaired. If statistically significant adverse trends are present in causal variables , then the waterbody will initially be placed on the Planning List 6 of potentially
impaired waters so that a more rigorous statistical analysis can be conducted. If statistically significant adverse trends are present in causal variables after controlling for confounding variables and the
waterbody is expected to become impaired within 10 years, then the waterbody will be placed on the
Study List and the Department wi ll develop a site specific interpretation of the NNC for the waterbody.
This interpretation would likely be a nutrient SSAC, and would be implemented and applied to upstream
waters feeding the waterbody including in NPDES permits for upstream dischargers as described in the

section , starting on page 43 herein, titled “ WQBEL Procedures for Each Tier of the Hierarchy .”

If statistically significant adverse trends are present in response variables (after controlling for confounding variables) and the waterbod y is expected to become impaired within 5 years , then the
waterbody will be placed on the Verified List for nutrient impairment, pursuant to subsection 62

- 303.450(4), F.A.C. , and a TMDL will be developed, which will be a site

- specific interpretation of the NNC

and set levels/allocations to upstream waterbodies

. The TMDL , which would include wasteload
allocations for point sources and load allocations for nonpoint sources, would be implemented in NPDES
permits for upstream dischargers as described in the se ction , starting on page 43 herein, titled “ WQBEL Procedures for Each Tier of the Hierarchy ”, and any needed reductions in nonpoint sources would be
implemented via the BMAP for the TMDL, which is enforceable for nonpoint sources.

When evaluating changes ov er time, c onfounding, or exogenous variables, such as natural random phenomena ( e.g ., rainfall, flow, and temperature) often have considerable influence on the response variable in question ( e.g ., nutrient concentration or chlorophyll ). By statistically a ccounting for
exogenous influences , the background variability is reduced so that any trend present can be better

observed. Th is process involves standard statistical model ing, such as least squares regression or

LOca lly WEighted Scatterplot Smoothing ( LOWESS ) analysis , with a subsequent analysis for increasing

trend in the residuals

. To be considered statistically significant, the p value associated with the residuals

trend analysis sh all be less than 0. 05 . If the slope of the projected trend line is expected to exceed
either a nutrient or nutrient response variable endpoint within 10 or 5 y ears (and if there is evidence of
anthropogenic nutrient enrichment ), the waterbody shall be placed on the Study or Verified List,
respectively.

T his process invo lves two steps. First, i f an increasing trend is determined for nutrients, the Department

an a lyzes the statistical relationship between nutrients and the a ssociated nutrient response variable to

6 See the Section titled “Implementing the NNC Revisions to the Impaired Water Rule (Chapter 62

- 303, F.A.C) ,” starting o n page 35 herein, for a full description of the Planning, Study and Verified Lists.31 determine the level of nutrients at which imbalance would occur. Next, the Department would analyze
the slope of the trend to determine if the response variable would exceed the level associated with

imbalance within 5 or 10 years, given the trend observed in nutrients.

To illustrate thi s concept, data were analyzed from Station 3566 in the Weeki Wachee River. Based on flow adjusted residuals analysis, the Weeki Wachee River exhibits a statistically significant nitrate

- nitrite

trend. Although there is an apparent trend in the raw data ( Figure 4 ), the influence of flow ( Figure 5 )
was taken into account to determine the statistical validity of the trend. Note that the residuals plot ( Figure 6 ) shows a more striking trend over time, and that the results are significant (p

- value is < 0.001) with an increasing slope of 0.03 mg/L per month.

Figure 4. Nitrate concentrations in Weeki Wachee River over time.

Figure 5 . Weeki Wachee river flow (CFS) from 1999 to 2011. COLLECTION.DATENitrate+Nitrite, Total (as N)

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110.4 0.5 0.6 0.7 0.8 0.9 3566

COLLECTION.DATEFLOW (cfs)

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011120 140 160 180 200 220 240 356632 Figure 6 . Weeki Wachee River residuals over time ( derived from the flow vs. nitrate regression),
highlighting the trend during the years from 1999 to 2003.

These data may be used to demonstrate how the Department would implement the adverse trend test,
which is designed to determine if the water will be impaired within 5 years (for the Verified List), taking
into consideration the current concentrations of nutrients or nutrient response variables and the slope of the trend. For example purposes, suppose the Department had adopted the adverse trend test prior
to 1999, and suppose that site

- specific algal responses in the Weeki Wachee River had led to the
conclusion that a nitrate level of 0.71 would lead to failures of the Rapid Periphyton Survey. Based on the significant trend in the residuals plot, the Department would have estimated that this concentration of nitrate (0.71 mg/L ) would be exceeded in 2003, allowing the Department to place the water on the

verified list in 1999 and take action to reduce nitrate levels prior to the actual impairment occurring.

While this example focuses on the trends in nutrients in the Weeki Wachee River, it is important to note
that downstream waters would also be assessed for trends. Any TMDL developed to address the
increasing trend in nitrate levels would, in addition to protecting the Weeki Wachee River, have the
added benefit of protecting downstream waters even if there were no observable increases in nutrients
or nutrient response variable in the downstream waters.



### T REND 

### T EST 

### S UMMARY

Because the trend test applies to lakes and estuaries, as well as the streams that feed them, it provides an enhanced method to assure that downstream waters are fully protected. In addition to the above example, if an adverse trend in TP were observed in a downstream lake or estuary, a site specifi c

criterion would be developed for the waterbody prior to it becoming impaired

, and this action would

establish TP expectations for upstream waters at a level that would prevent the lake or estuary from
exceeding the app licable nutrient criteria. The adve rse trend test , which is linked to the numeric criteria
necessary to protect recreation and healthy, well balanced aquatic communities, allows for Hierarchy 1 COLLECTION.DATEResidual

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110.5 0.6 0.7 0.8 0.9 356633 site

- specific and highly accurate downstream protection values to be developed prior to the
downstream waters from becoming impaired.



## Discussion of TMDLs as NNC

• Only State

- adopted nutrient TMDLs are eligible as site

- specific interpretations of the

NNC

.

• To be eligible, the nutrient TMDLs must be based upon prevention of imbalances of flora

or fauna ( paragraph 62

- 302.530 (47)(b), F .A.C .) . Nutrient TMDLs that address dissolved oxygen (DO) impairment ( paragraph 62

- 302.530 (47)(a), F .A.C. ) would also be eligible if
nutrients were identified as a causative pollutant and the TMDL demonstrated that i t would also prevent an imbalance of natural populations of flora and fauna. As an
example, surplus anthropogenic nutrients could be shown to generate excess plant biomass (periphyton, phytoplankton, or vascular plants), which could by themselves

constitu te an imbalance in flora or result in habitat smothering (e.g., excess periphyton accumulation), food web alteration (e.g., dominance of taxa that thrive in nutrient enriched conditions), or low DO (from decomposition or respiration of excess plant

biomass ), etc., that results in imbalances in fauna, as reflected by failing SCI scores or

an other meaningful biological endpoint (e.g., decline in seagrass coverage, reduced transparency, etc.). If the TMDL is written to prevent this cycle and then achieve DO, it could be eligible as the numeric interpretation of paragraph 62

- 302.530 (47)(b), F.A.C.

S tanda r d statistical tests, such as regression or other appropriate empirical or

deterministic model s, are used to demonstrate a “predictable and measurable” DO
response to nutrients

. The p value associated with the regression or other statistical

model should be less than 0.05 and the variability in DO explained by nutrients should be sufficient ( e.g ., r 2 > 0. 2 5) to expect that nutrient reductions would lead to
improvements in DO and maintain or restore a healthy, well balanced biological
community

.

• Many TMDLs are expressed as loads instead of concentrations, but the loads do not
have to be translated into concentrations to be deemed the numeric interpretation o f

the NNC

.

• TMDLs may be modified based on new data, new science, or different targeted endpoints (such as DO). When TMDLs are modified and re

- adopted, they become the
new interpretation of the NNC

.

• Future TMDL rules may include a response target (chlorophyll a, for example) designed
to implement the NNC . Scientific information relating to the response target and the
basis for existing TMDLs is presented in the TMDL reports ; and this information can be

used to establish a site

- specific listing threshold for nutrient impairment pursuant to

Rule 62

- 303.450, F.A.C.34 • TMDLs may be written to achieve numeric nutrient values established in Chapter 62

- 30 2 , F.A.C., (lakes or springs), or alternatively, to achieve conditions necessary to
protect the NNC . If written to achieve the NNC , the site

- specific thresholds used for the
TMDL would become the numeric interpretation of the narrative pursuant to “1” of the
hierarchy.

• After Rule 62

- 302.531, F.A.C.

, becomes effective, subsequently adopted hierarchy 1

nutrient TMDLs must be publically noticed as new numeric interpretations of the
narrative criterion and as changes to state water quality standards

. Consistent with the
CWA, these site

- specific interpretations will be submitted to EPA for review.



## Discus sion of Site Specific Alternative Criteria as NNC

• The restriction on establishing a Type II SSAC for nutrients pursuant to subsection 62

- 303.800(2), F.A.C., was eliminated in the revised rule adopted in December 2011.

• A new SSAC provision for a “Type III SSAC” was also adopted to allow a predictable
approach to developing nutrient SSACs. The rule language provides clear expectations
on the water quality and biological data needed to characterize existing nutrient
concentrations and aquatic health, but the specific number of stations required for assessment will be determined on a site specific basis.

• Since numeric nutrient criteria are intended to protect healthy, well

- balanced natural
populations of flora and fauna, the existing nutrient concentrations ar e deemed
protective if the biology is found to be healthy and protection of downstream waters is demonstrated pursuant to subparagraph 62

- 302.800(3)(a)3 . The nutrient SSAC will
need to address the natural variability in nutrient concentrations and must de monstrate that the designated use s are being protected in the waters covered by the SSAC and in

downstream waters

.

• As part of Type III SSAC development, aquatic life use support must be demonstrated.
The phytoplankton, periphyton, vascular plant communi ty , and benthic

macroinvertebrates responses are used as primary evidence to demonstrate systems are meeting their designated use (as described above).

• Streams that do not exhibit excess algal growth or nuisance aquatic plants and where the average of two temporally independent Stream Condition Index (SCI) results is
greater than 40 are biologically healthy, and the associated nutrient regime is

demonstrated to be protective

.35 

# I

**MPLEMENTING THE** 

# NNC **R EVISIONS TO**  **THE** 

# I **MPAIRED** 

# W **ATERS** 

# R **ULE** 

# (C **HAPTER** 

# 62

**- 303,**  **F.A.C.)**

The Impaired Waters Rule (IWR , Chapter 62

- 303, F.A.C. ) provides a process to determine if waterbodies (or waterbody segments) should be placed on the Verified List of impaired waterbodies for subsequent

TMDL dev e lopment . The listings are made in a ccordance with evaluation thresholds

, data sufficiency
and data quality requirements in the IWR. The results of the assessment are used to identify waters in each basin for which TMDLs will be developed.

The process for determining impairment in individual waterbodies has been incorporated into the
Department’s Watershed Management approach. Under this approach, which is based on a 5

- year basin rotation, Florida’s 52 Hydrologic Unit Code ( HUC ) basins (51 HUCs plus the Florida Keys) have been
distributed among 29 basin groups. These basin groups are located within the Department’s six ( 6 )
statewide districts, with 5 basin groups in each of the Northwest, Central, Southwest, South, and
Southeast Districts, and 4 basin groups in the Northeast District. One basin group in each district is assessed each year (except for the Northeast). Table 6 lists the basin groups for each of the
Department’s districts that are included in each year of the basin rotation

Implementation of the TMDL Program (monitoring, asses sment, identification of impaired waters, development of TMDLs, and implementation) under the rotating Watershed Management approach includes five distinct phases ( Table 7 ). D evelopment of the Planning, Study, and Verified Lists occur in the first two pha ses of the cycle. As described in greater detail below , there are approximately two years between the initial Phase 1 assessment and the final adoption of the Verified Lists [including the 303(d) list] at the end of Phase 2.36 Table 6. Basin g roups for i mplementing the w atershed m anagement c ycle , by Department d istrict

..

- = No basin assessed **Dept. District**  **Group 1 Basins**  **Group 2 Basins**  **Group 3 Basins**  **Group 4 Basins**  **Group 5 Basins** 

Northwe
st Ochlockonee – St. Marks Apalachicola

– Chipola Choctawhatch

ee – St. Andrew Pensacola Perdido

Northea
st Suwannee Lower St. Johns - Nassau

– St. Marys Upper East Coast

Central Ocklawaha Middle St. Johns Upper St. Johns Kissimmee River Indian River Lagoon

Southwe
st Tampa Bay Tampa Bay Tributaries Sarasota Bay

– Peace

– Myakka Withlacoochee Springs Coast

South Everglades West Coast Charlotte Harbor Caloosahatche

e Fisheating Creek Florida Keys

Southea
st Lake Okeechobee St. Lucie

– Loxahatchee Lake Worth Lagoon – Palm Beach Coast Southeast Coast

– Biscayne Bay Everglades

Table 7. Phases of the b asin m anagement c ycle

.

**Phase Schedule**  **Activities**

Phase 1:

Preliminary Basin
Evaluation Year 1 • Identify stakeholders/participants
• Obtain data and enter into Florida STORET • Conduct public meeting to introduce cycle

• Primary Products:

– Develop Planning List of potentially impaired waters to identify those waters that need more information to complete a full attainment
decision

.

– Develop Strategic Monitoring Plan for information collection to complete a full attainment decision. (A full attainment decision allows the Department to place waters on the verified list if neede d).

Phase 2:

Strategic Monitoring and

Verified List Development Years 2 –3 • Carry out strategic monitoring to collect additional data identified in Phase 1 • Acquire additional data and enter into Florida STORET • Evaluate new data and incorporate findings into draft version s of Verified List of

Impaired Waters and Delist List • Distribute draft Verified List of Impaired Waters and Delist List for review • Conduct public meetings and solicit comments from stakeholders on draft

version of Verified List of Impaired Waters and Delist List

• Primary Products:

– Finalize Verified List of Impaired Waters , Study List, and Deli st List for

Secretarial adoption

– Adopt Verified List of Impaired Waters and Delist List by Secretarial Order

– Submit finalized Verified List of Impaired Waters , Study List, and Delist

List to EPA as update to 303(d) list

Phase 3:

TMDL Development Years 2 –4 • Complete TMDLs for verified impaired waters according to prioritization37 **Phase Schedule**  **Activities**

Phase 4:

Development of
BMAPs Year 4 • Finalize management goals/objectives • Develop draft BMAP, including TMDL allocation • Identify monitoring and management partnerships, needed rule changes and

legislative action, and funding opportunities • Develop Monitoring and Evaluation Plans • Seek funding • Obtain participant commitment to implement plans

Phase 5: Implementation Year 5+ • Implement BMAPs • Carry out rule development/legislative action

In the first phase of the basin cycle, which lasts approximately six months (from July through December)

, the Department evaluates all readily available water quality data for the basin group using the
methodology prescribed in the IWR to identify any potentially impaired waters or other waters that

need additional data to determine the restoration actions needed

. For the nutrient assessment, key provisions of the IWR include Sections 62

- 303. 350 (Planning List), 62

- 303.390 (Study List), and 62

- 303.450 (Verified List) , F.A.C. T he Planning List provisions in the IWR for streams (Rule 62

- 303.351, F.A.C.) include two references to the numeric nutrient thresholds for streams ( subsection 62

- 302.531 (2), F.A.C.). Under subsection 62

- 303.351(1), F.A.C., streams can be placed on the Planning List for nutrient
impairment if they do not attain the numeric interpretation of the NNC , which requires a combination of
both nutrient and biological data to be f ully assess ed . Under subsection 62

- 303.351( 2 ), F.A.C., streams
can also be placed on the Planning List 7 if they exceed the numeric thresholds in subparagraph 62

- 302.531(2)(c)3, F.A.C., even if there is insufficient biological information to fully assess a chievement of

subsection 62

- 302.531(2) , F.A.C.

.

Waters found to be potentially impaired are included on a Planning List for further assessment

, and a Strategic Monitoring Plan (SMP) is prepared to ensure that the necessary monitoring is conducted
during the second phase of the cycle. While the focus of the initial assessment is on the identification of
potentially impaired waters, the assessment is comprehensive, and waters with sufficient information to qualify for the Study List or the Verified List will also be identified. Waters found to be impaired and the
cause is known to be a pollutant are placed in category 3d to indicate tha t no additional data are needed
to place the water on the Verified List in Phase 2. Waters that qualify for the Verified List are generally not prioritized for monitoring because sufficient data have already been collected; however, th ere may be cases where the Department may conduct additional monitoring (for example, to confirm the causative pollutant or to confirm suspect data). Regardless of whether additional data are collected, the waters will not be adopted on the Verified List until the end of Phase II of the cycle.

The SMP will also address sampling of waters that were placed on the Study List during the previous
Watershed Management cycle. It should be noted that s ome of the waters on the Planning List will also qualify for the Study List during Phase 1

. T he se waters will not be placed on the official Study List submitted to EPA for 303(d) list approval until the conclusion of Phase II and only in those circumstances

7 These waters would also be eligible for the “Study List” if sufficient biological data are not collected during the Strategic Monitoring phase.38 where the needed data or information is n ot collected dur ing the strategic monitoring phase (due to

dr o ught, for example)

.

The second phase of the Watershed Management cycle includes two distinct activities: completion of

the SMP and re

- assessment of the basin’s waterbodies using the new data. The strategic monitoring phase, which lasts a full calendar year, is focused on those waters that were placed on the Planning List during the first phase of the basin rotation or the Study List during the previous cycle , with the goal of ensuring that sufficient data and/or ancillary information are available to determine ( i.e. , to “verify”)

— using the methodology described in the IWR

— whether a waterbody segment is impaired and if the
impairment is caused by a pollutant.

A fter the monitoring is completed, all of the waterbodies in the basin are re

- assessed, taking into
account the new data collected by the Department and any other new information from other data
providers . This re

- assessment process typically lasts another full calendar year, with draft assessments

conducted in the spring and presented to the public in June, revised assessments conducted in the
summer and presented to the public in the fall, and final lists adopted by the Secretary at the end of the

year.

Waters are re

- assessed for nutrient impairment pursuant to Rule 62

- 303.450, F.A.C. There has been
some confusion expressed about the meaning of the text in Rule 62

- 303.450(3), F.A.C., which states that
waters shall be placed on the Verified List “upon confirming the imbalance in flora or fauna based on the last 7.5 years of data

. ” The only confirmation required is that the nutrient criteria have been exceeded
within the last 7.5 years, and no additional biological information is required for waters listed on the
Planning List under the referenced rule provisions. However, Rule 62

- 303.450(3), F.A.C., does not
reference the Planning List rule provision that lists streams on the Planning List based on exceedances of

the nutrient stream thresholds without suf ficient biological information (Rule 62

- 303.35 1 (2), F.A.C.).

These waters will be targeted during the SMP so that they can be fully assessed against the numeric interpretation of the NNC for streams.

W aterbody segments identified and verified as impaire d are placed on the state’s Verified List of
impaired waters

, and those waterbody segments determined to be no longer impaired or in need of a
TMDL are placed on the Delist List. After the additional year of data collection, surface waters or

segments tha t do not attain surface water quality standards, but the cause of nonattainment is still

unknown

, or waters where there is still insufficient information to fully assess the water quality standard are placed on the Study List so that additional monitoring can be conducted to identify the cause of
impairment or fully implement the water quality standard

.

For waterbodies on the Planning List due to adverse trends in a nutrient or nutrient response variable,
the Department will conduct additional trend analy sis during Phase 2 to determine the appropriate listing category for the waterbody. Because it is well known that nutrient loads in natural watersheds may fluctuate according to climatologic, hydrologic, and/or seasonal patterns, it is important to control
for these confounding factors when performing the trend analyses. The Department i s confident that
any increasing trends in anthropogenic nutrient loading will be observed using valid statistical39 approaches ( e.g ., regression and subsequent residuals analyses), because removal of confounding
influences improves the ability to detect an a nthropogenic signal. One of t he following actions can

occur related to trend assessments at the end of the Phase 2 analysis:

1. If the Department determines there is not a statistically significant increasing trend in TN, TP, or
a nutrient response vari able after controlling f o r confounding variables, then the waterbody will

be removed from the P lanning L ist for nutrients

.

2. If the Department determines there is a statistically significant increasing trend in TN, TP, or a

nutrient response variable after controlling for confounding variables and the waterbody is
expected to become impaired within 6 - 10 years , then it will be placed on the S tudy L ist

, pursuant to paragraph 62

- 303.390(2)(a)

, F.A.C.

The waterbody will be removed from the S tudy L ist when a site specific interpretation (a SSAC in
this case) of the NNC is established. If a site

- specific interpretation of the narrative has already
been established, then the waterbody will be re

- evaluated to ensure the attainm ent and
maintenance of water quality standards in downstream waterbodies.

3. If there is a significant adverse trend in a nutrient response variable and the waterbody is
expected to become impaired within 5 years, then the waterbody will be place d on the V erified
List for nutrient impairment, pursuant to subsection 62

- 303.450(4), F.A.C.

Both t he Verified List and Delist Lists are adopted by Secretarial Order in accordance with the Florida Watershed Restoration Act ( FWRA ) . Once adopted, the Verified, Delist and Study list s are submitted to the EPA for approval as an update to the state’s Section 303(d) list of impaired waters.

As demonstrated through this process, a waterbody may be placed directly on the Verified List if
sufficient data are available even if it was not previously identified as potentially impaired in Phase 1 of
the Watershed Management cycle. Furthermore, there is no requirement that waters be placed on
either the Planning List or Study List before they can be placed on t he Verified List.

If a waterbody is placed on the Study List, it is the Department ’s goal to complete the needed monitoring/analysis during either the same or the next Watershed Management cycle. Because waters
on the Study List will be included on the State’s 303(d) list, there will be significant pressure by both the
environmental and regulated communities to complete the needed studies in a timely manner. If
resources allow, the Department will include a second strategic monitoring phase in the Water shed Management cycle (likely concurrent with Phase 3, TMDL Development). However, the Department
may need to wait until the Strategic Monitoring phase of the next watershed cycle. As a result, the studies should be completed and the waterbody moved to t he Verified or Delist List (as appropriate)
within six years of placement on the Study List.40 

## Assessment of Estuaries

As noted previously, the Department has adopted estuary

- specific numeric interpretations of the NNC in paragraph 62

- 302.530(47)(b), F.A.C. , for estuaries along the Southwest Coast (roughly from Tampa Bay to Miami and the Florida Keys) . With the exception of the criteria developed for Tampa Bay, which are expressed as delivery ratios (addressed in next section), assessment of the estuary

- spe cific numeric
interpretations is straightforward because the listing thresholds for both the Planning and Verified Lists
are directly based on exceedances of the adopted numeric interpretations of the NNC [ see Subsections

62

- 303.353(1), and 62

- 303.450(3), F.A.C. ] For this assessment, the only added review elements under the IWR include the time frame (10 years for Planning List and 7 years for the Verified List) and an evaluation of whether the data were collected under extreme climatic conditions (the Dep artment will not list waters as impaired based solely on extreme climatic conditions or changes in the monitoring network).

For estuarine systems without adopted estuary

- specific numeric interpretations of the NNC , the Department will continue to assess th e NNC pursuant to Subsection 62

- 303.353(3), F.A.C. (Planning List)

and Subsection 62

- 303.450(2), F.A.C. (Verified List), and assess the 11 ug/l chlorophyll a impairment threshold for estuaries pursuant to Subsection 62

- 303.353(2) (Planning List) and Subsec tion 62

- 303.450(1), F.A.C. (Verified List).41 

## Assessment of Waterbodies with Interpretations of the N NC Expressed as Loads or Delivery Ratios

For waters with nutrient TMDLs expressed as a load, attainment of the allowable loads will be evaluated
as part of the BMAP reporting process, and nonattainment will be assumed until information is provided to prove attainment (a combination of model estimated loads of nonpoint sources and measured loads from point sources). Waters should only be deemed to be in atta inment if they meet the loads (or concentrations) and targets ( e.g., chlorophyll) and a demonstration is made that nutrients are no longer
causing biological imbalances. If the waterbody attains the allowable loading but there is site

- specific

information indicating an imbalance in flora or fauna, the TMDL would be revisited and revised as

needed.

For the Tampa Bay estuarine system where nutrient standards are expressed as a delivery ratio, the Tampa Bay Estuary Program has agreed, pursuant to their binding Reasonable Assurance agreement, to provide the hydrologic and loading information (for both point and nonpoint sources) needed to calculate and assess annual delivery ratios on at least a five year frequency, which is consistent with

DEPs watershed asses sment cycle. However, TBEP has agreed to evaluate chlorophyll a targets on an annual basis, and will provide the Department with the needed information more frequently if
chlorophyll a targets are exceeded for two consecutive years.



### I MPAIRED 

### W ATERS 

### R ULE 

### A SSESSMENT 

### S UMMARY

• The IWR was revised to be consistent with the revisions to Chapter 62

- 302, F.A.C., including provisions to implement the NNC for lakes, springs , and streams

.

• Streams that exceed reference

- based nutrient thresholds will be placed on th e Study List unless there are bioassessment data (flora and fauna) indicating the stream is healthy.
Streams that exceed reference

- based nutrient thresholds and have information that indicate imbalances of flora are placed directly on the Verified List. Waters on the Study

List will receive a site

- specific physical, chemical, and biological investigation to determine if aquatic life use support goals are attained (if there were no bioassessment data available), and if aquatic life use support is not attained, to determine the causative pollutant(s). This process constitutes a “stressor identification” study. If the stream is determined to be impaired due to nutrients (at least in part), the water will be
listed on the Verified List for TMDL development, which will determine the reductions
needed. This approach places waters on the Study List if there is a nonattainment
condition based on the current numeric interpretation of the narrative criteri on outlined
above, and places waters on the IWR Verified List for nutrients if they need a reduction
in a nutrient loading to attain the NNC or otherwise restore the waterbody’s designated

use.42 

# S **URFACE** 

# W **ATER** 

# D **ISCHARGE** 

# W **ASTEWATER** 

# P **ERMITS**

This chapter describes how the site

- specific interpretations of the NNC in R ules 62

- 302.531 and 62

- 302.532, F.A.C., are implemented in surface water discharge domestic and industrial wastewater permits with reasonable potential (excluding municipal separate storm sewer system permits) (see
Figure 7 ) , including:

• T he permit application process;

• The expectations for providing reasonable assurance and for calculating Water Quality Based Effluent Limitations for nutrients; and

• How permits will be reviewed with respect to meeting numeric nutrient standards both

in near

- field rec eiving waterbodies as well as downstream waterbodies.

Figure 7

. Flow chart illustrating the process by which NNC will be implemented in surface water
discharge wastewater permits.

Although it is ultimately the Department’s responsibility to assure that adequate documentation is in
the administrative record for permitting decisions, Florida’s permitting process puts the burden on the applicant to provide all of the necessary documentation for permit issuance. Rule 62

- 620.320, F.A.C., (Standards for Issuing or Denying Permits) requires that:

“ (1) A permit shall be issued only if the applicant affirmatively provides the Department with reasonable assurance, based on a preliminary design report, plans, test results, installation of pollution control eq uipment, or other information, that the construction, modification, or operation of the wastewater facility or activity will not discharge or cause pollution in contravention of chapter 403, F.S., and applicable Department rules.43 (2) If, after review of t he application and any pertinent information, the Department determines
that the applicant has not provided reasonable assurance that the construction, modification, or operation of the wastewater facility or activity will be in accordance with applicable statutes or rules,
including rules of approved local programs under 403.182, F.S., the Department shall deny the permit,
shall notify the applicant, and specify the reasons for the denial. ”

The se information requirements are spelled out in the Department’s “Guide to Permitting Wastewater
Facilities or Activities Under Chapter 62

- 620, F.A.C.” The guide reiterates the rule requirement that the
applicant has the burden to submit documentation with the application providing reasonable assurances

that the criteria in Chapter 62

- 302, F.A.C.

, and other applicable D epartment rules shall be met. If other
Department orders or rules have established discharge limits that explicitly protect the narrative standard (in

- stream, upstream, and downstream) in this type of segment, that limit is sufficient to
implement numeric nutrient criteria as long as it continues to implement the standards at R ule 62

- 302.531(2), F.A.C.

The WQBEL process, pursu ant to Chapter 62

- 650, F.A.C., is the mechanism for determining the levels of nutrients in a point source discharge ( i.e. , effluent nutrient limits) that attain the NNC in paragraph 62

- 302.530(47)(b), F.A.C. Derivation of a level II nutrient WQBEL is a si te

- specific, hierarchy 1 interpretation

of the NNC and the WQBEL derivation is based on the worst

- case scenario (permitted flows) and the
associated nutrient loads from a discharge. If downstream waters are anticipated to be potentially

affected by the di scharge of nutrients from an upstream facility, th e potential impact must be assessed

, regardless of distance (see section on “ NNC and Protection of Downstream Waters ”)

.

Revisions to a WQBEL for existing discharges are implemented through the permit renewal process and
compliance schedules may be used to give permittees time to come into compliance with any new requirements pursuant to the provisions of subsection 403.088(2)(e) and (f), F.S., and subsections 62

- 620.610(12) and 62

- 620.620(6), F.A.C. New or expanded discharges are subject to the antidegradation
review, and if the discharge contains nutrients, it will need to have a WQBEL established and provide

reasonable as surance at the time the permit is issued that the WQBEL will be met. Existing WQBELs are reviewed at the time of permit renewal (every five years), and if the factors associated with the
derivation of the WQBEL have not substantively changed during the fi ve year period, the WQBEL can be considered valid for another five year period.



### WQBEL P ROCEDURES FOR 

### E ACH 

### T IER OF THE 

### H IERARCHY

1. In accordance with paragraph 62

- 302.531(2)(a), F.A.C., where a site specific numeric interpretation
of paragraph 62

- 302.530(4 7)(b), F.A.C., has been established by the Department, that interpretation is the applicable interpretation. Such interpretations include Total Maximum Daily Loads (TMDLs), site specific alternative criteria (SSAC) for nutrients, Reasonable Assurance (RA) demonstrations, or

other site

- specific interpretations that are formally established by rule or final order of the
Department. The applicable interpretations, if available, include both nutrient [ e.g. , total nitrogen (TN) or total phosphorus (TP)] and re sponse variables ( e.g. , chlorophyll a ). Where multiple
interpretations have been made for a waterbody, the most recent is the applicable interpretation. If only one nutrient ( e.g. , TP) has a numeric interpretation established in accordance with paragraph44 62

- 302.531(2)(a), F.A.C., the numeric interpretation of the narrative nutrient criteria for the other
nutrient ( e.g. , TN) follows the hierarchy described in paragraph 62

- 302.531(2), F.A.C. The
Department will maintain a listing of the site

- interpretation s established to date available on the
Department website.

Site

- specific interpretations are used to establish WQBELs as follows:

• TMDLs – Where a TMDL 8 is the applicable interpretation, a WQBEL is derived in
accordance with the Wasteload Allocation provided in the TMDL. In accordance with

subsection 62

- 302.531(8), F.A.C., if the Wasteload Allocation is expressed as a load, the
WQBEL can be expressed as a load 9 (i.e

., there is no requirement to “translate” the load to a concentration for the WQBEL).

• SSAC – Where a SSAC is the applicable interpretation, a WQBEL is derived to ensure that
the discharge does not cause or contribute to an exceedance of the SSAC within the spatial area to which the SSAC is applicable (e.g.

, if a SSAC for a stream segment has

bee n established as an annual geometric mean of 40 μ g/L total phosphorus, the WQBEL
is calculated to ensure that the discharge does not cause or contribute to the stream
segment exceeding an annual geometric mean of 40 μ g/L), in all years. If the
waterbody currently achieves the SSAC value, the Level I WQBEL process can be used to
establish effluent limits consistent with permitted nutrient levels, but only if the permit
applicant is not expanding its discharge above currently permitted levels and will not

in crease its nutrient concentrations over the permit cycle. However, if the waterbody
does not achieve the SSAC or if the permit is for a new or expanded discharge, the Level
II WQBEL process is more appropriate.

• Reasonable Assurance (RA) Demonstration – W here the Department has approved an
RA demonstration pursuant to the subsection 62

- 303.100(5), F.A.C., related to nutrient
impairment, the nutrient

- related target in the RA demonstration can serve as the applicable numeric interpretation of the narrative n utrient standard. The WQBEL would
then be calculated to ensure attainment of that numeric interpretation in the same
manner as the TMDL or SSAC procedures, depending on how the RA demonstration was crafted. For example, if the RA demonstration included an allocation to a permitted
facility, that allocation can be treated as the Wasteload Allocation similar to those

contained in a TMDL.

For the examples above that include a Wasteload Allocation, the WQBEL is established using the
Level I process at Rule 62

- 650.400, F.A.C., to implement the site

- specific interpretation of the
narrative. If the Department determined that a facility will not cause or contribute to nutrient
impairment and did not establish a Wasteload Allocation for the facility, permit limits are not required, pursuant to the TMDL; however, such a facility would not be allowed to increase its

8 TMDL means a TMDL adopted under Chapter 6 2- 304, F.A.C., that interprets the narrative water quality criterion for nutrients in paragraph 62

- 302.530(47)(b), F.A.C., for one or more nutrients or nutrient response variables.

9 Note – permit load (mass) limits are generally expressed as a rolling ann ual load.45 nutrient loading and permit limits may be needed if increased discharge is being sought. Where a

TMDL, SSAC or R A Demonstration does not exist, a WQBEL is recognized as the applicable
interpretation of the narrative nutrient criteria if:

a) T he documentation for the WQBEL includes a site specific numeric interpretation of the

narrative criterion at paragraph 62

- 302.530(47)(b), F.A.C.

, for the waterbody ; b) The WQBEL is established pursuant to the Level II Process contained at Rule 62

- 650.500,

F.A.C. ; and c) T he public notice for the WQBEL specifically state s that the Level II WQBEL includes a site
specific interpretation of the narrative for the receiving wat erbody.

Where a Level II WQBEL has previously been established for discharge of nutrients to a waterbody and a TMDL, SSAC, or RA does not exist for the waterbody, the existing WQBEL remains in effect
until revised by a Final Order that establishes a site specific interpretation of the narrative.
Revisions to the WQBEL to reflect the site

- specific interpretation will generally be implemented
through the permit renewal process, and compliance schedules are used to give permittees time to

come into complian ce with any new requirements pursuant to the provisions of paragraphs 403.088(2)(e) and (f), F.S., and subsections 62

- 620.610(12) and 62

- 620.620(6), F.A.C. In certain cases permits may need to be re

- opened prior to permit renewal to include revised WQBELs based on priority of restoration needs, time remaining before permit renewal, and workload

considerations.

2. If there is no site

- specific interpretation in effect as described in the preceding paragraph that is
applicable to the receiving waters, but there is an established, quantifiable stressor response relationship between one or more nutrients and nutrient response variables for those waters, then
the values set forth in paragraph 62

- 302.531(2)(b), F.A.C., are the applicable numeric interpretation

of paragraph 62

- 302.530(47)(b), F.A.C. Such an interpretation has only been made at this time for
lakes and spring vents. There are currently no discharges directly to spring vents and it is unlikely
that such discharges will be proposed in the future. Ef fluent limits for discharges to ground waters

in the springshed are developed through the standard process for groundwater discharges (see separate document on discharges to groundwater) or through the TMDL /Basin Management Action

Plan process for that spr ing where sufficient information exists

.

For lakes, the WQBEL may be derived to ensure that the discharge does not cause or contribute to

exceedances of the numeric interpretation for the waterbody segment , which is expressed as a lake average. As stated previously, Florida’s wastewater permitting process puts the burden on the
applicant to provide all of the necessary documentation for permit issuance , including
demonstrating that their discharge will not cause violations of the water quality standards
applicable to the lake. Depending on the circumstances of the lake, either a Level I or Level II WQBEL
is established that implements this numeric inter pretation of the narrative criteria. This is
accomplished as follows:46 • If the discharge can meet the applicable numeric interpretation, a Level I WQBEL is
calculated to ensure the discharge does not exceed the Total Nitrogen and Total Phosphorus values contained in sub

- subparagraph 62

- 302.531(2)(b)1.a., F.A.C.; or

• For existing discharges, a Level I WQBEL can be established at permitted nutrient loads if the receiving lake attains the numeric interpretation of the narrative expressed at sub

subparagrap h 62

- 302.531(2)(b)1.a., F.A.C.; or

• For new or expanded discharges to a lake that attains the applicable criteria, a Level II
WQBEL must be established that ensures the lake will continue to attain the numeric
interpretation of the narrative; or

• If the lake does not attain the baseline TN or TP values in sub

- subparagraph 62

- 302.531(2)(b)1.a., F.A.C., but attains the applicable chlorophyll a value in sub

subparagraph 62

- 302.531(2)(b)1.a., F.A.C., a Level II WQBEL must ensure attainment of
the applicable c hlorophyll a value in all years. The Level II WQBEL must also ensure that ambient lake nutrient conditions do not exceed the upper end of the range Total
Nitrogen and Total Phosphorus limits in sub

- subparagraph 62

- 302.531(2)(b)1.b., F.A.C.

In any case, a new or expanded discharge would need to conduct water quality modeling during
critical conditions to provide the reasonable assurance that the discharge will not cause a violation
of lake water quality standards during critical conditions. Note that the WQBEL is subject to change upon permit renewal if a site specific interpretation is established pursuant to par agraph 62

- 302.531(2)(a), F.A.C.

3. For streams in which an applicable interpretation ( i.e. , TMDL, SSAC, RA) has not been made as

described in paragraph 1, the provisions set forth in paragraph 62

- 302.531(2)(c), F.A.C., are the
applicable numeric interpretation of paragraph 62

- 302.530(47)(b) , F.A.C. A continuous discharge facility that has effluent nutrient concentrations greater than the applicable numeric nutrient
thresholds adopted at Subparagraph 62

- 302.531(2)(c)2, F.A.C.

, will require that effluent limits be
established as necessary to meet the nutrient standards in Chapter 62

- 302, F.A.C. In that case, a
WQBEL that implements the numeric i nterpretation of the narrative criteria is derived as follows:

• If the stream receiving an existing discharge has evidence of balance d flora based on
available information on chlorophyll a levels, algal mats or blooms, nuisance
macrophyte growth, and changes in algal species composition and either is achieving the reference thresholds at subparagraph 62

- 302.531(2)(c)2., F.A.C., or the re is evidence of balanced fauna based on available Stream Condition Index (SCI) scores 10 , the
waterbody will be deemed to have attained the standard at paragraph 62

- 302.531(2)(c), F.A.C.

, and the narrative criterion of paragraph 62

- 302.530(47)(b), F.A.C.
In that case, the Level I WQBEL process is used to establish effluent limits consistent
with permitted nutrient loads if the permit applicant is not expanding its discharge

10 See Section 2.7 of the SCI Primer for details on the floral assessment.47 above currently permitted levels and will not increase their nutrient concentrations over the permit cycle . However, if a facility is discharging significantly below its permitted capacity, the Department will review the WQBEL that was the basis for the current
permit limits to ensure that it is still a valid interpretation of the NNC . T he Level II
WQBEL process is available for new discharges or facility expansions that result in

increased nutrient loads 11

. A WQBEL for a new or expanded nutrient discharge must
ensure that a healthy, well balanced floral community will be attained at the proposed
discharge, and that either the nutrient thresholds will be achieved in the receiving stream (averaged over appropriate stream segments with homogeneous water quality) or that the waterbody has healthy fauna (SCI). If SCI measurements indicate that the
waterbody is not biologically healthy AND a stressor identification study indicate s that
nutrients are the cause, the WQBEL that prevents nutrients from impacting stream fauna would need to be calculated

. If insufficient biological data are available 12 to determine if the stream is healthy, pursuant to
paragraph 62

- 302.531(2)(c), F.A.C., the applicant may collect additional biological data to provide reasonable assurances. If the additional biological data indicate that the stream is not healthy,
the following scenario will apply.

• If the stream receiving an existing discharge has evidence of imbalance in flora based on available information on chlorophyll a levels, algal mats or blooms, nuisance
macrophyte growth, then the waterbody is not achieving the narrative criterion of
paragraph 62

- 302.530(47)(b), F.A.C ., regardless of whether the r eference thresholds at
paragraph 62

- 302.531(2)(c), F.A.C. or the SCI thresholds are met. If the flora are
determined to be healthy, but n either the reference thresholds at subparagraph 62

- 302.531(2)(c)2., F.A.C., nor the SCI thresholds are met, then the w aterbody is also not
achieving the narrative criterion of paragraph 62

- 302.530(47)(b), F.A.C

. In that case, the discharge to that waterbody is not allowed unless a level II WQBEL is developed or
other administrative process is implemented that ensures the discharge does not cause
or contribute to nonattainment of subparagraph 62

- 302.531(2)(c)2., F.A.C. or the
narrative criterion of paragraph 62

- 302.530(47)(b), F.A.C. In the circumstance where
flora are balanced, but the SCI fails, a stressor identification study would likely be
needed as part of the Level II WQBEL evaluation. Stressor identification studies evaluate and identify causes of biological impairment, including both pollutant and hydrologic/habitat related stressors.

Where a stream is verified as impaired for nutrients pursuant to the impaired waters rule, a site

specific interpretation of the narrative nutrient standard will be developed as part of the TMDL

11 Since paragraph 62

- 302.532(7)(d), F.A.C., specifies that the spatial application of the numeric interpretation shall be determined by relative stream homogeneity and shall be applied to waterbody segments or aggregations of segments as determined by the site

- specific considerations, mixing zones are not applicable.

12 Biological data are available to the applicant through the Department’s website at http://ca.dep.state.fl.us/mapdirect/?focus=waterdatacentral48 process, which will include Wasteload Allocations for discharges to the stream. The sub sequent WQBEL would be consistent with the Wasteload Allocation. As noted previously, the WQBEL is subject to change upon permit renewal if a site specific interpretation is established pursuant to

par agraph 62

- 302.531(2)(a), F.A.C.

WQBELs established b y all of the above methods must prevent discharges from causing or contributing

to a violation of the NNC in paragraph 62

- 302.530(47)(b), F.A.C. Also, in accordance with Subsection 62

- 302.531(4), F.A.C., WQBEL s cannot allow the loading of nutrients from a waterbody to cause or
contribute to an exceedance of water quality standards in a downstream waterbody. The reasonable

assurance demonstration that the construction, modification, or operation of the wastewater facility or
activity will meet this require ment may include information that: a) water quality standards of

downstream waters are being attained with the existing discharge, b) the existing or future discharge
does or will not affect downstream waters, or c) the discharge is in co mpliance with down stream

TMDLs.

Finally, a permittee has the option of pursuing relief from any of the above site

- specific interpretations
through the establishment of Site Specific Alternative Criteria under Rule 62

- 302.800, F.A.C., a variance under the provisions of 403.201, F.S., or a designated use modification under Rule 62

- 302.400, F.A.C.49 

## B ASIC 

## Information Needs for D istinguishing F lowi ng Waters under 62

- 302.200(36) F.A.C.

The definition of stream in Rule 62

- 302.200(36), F.A.C., states :

(36) “Stream” shall mea n, for purposes of interpreting the narrative nutrient criterion in
paragraph 62

- 302.530(47)(b), F.A.C., under paragraph 62

- 302.531(2)(c), F.A.C., a predominantly
fresh surface waterbody with perennial flow in a defined channel with banks during typical

cl imatic and hydrologic conditions for its region within the state. During periods of drought, portions of a stream channel may exhibit a dry bed, but wetted pools are typically still present
during these conditions. Streams do not include:

(a) Non

- perennial water segments where fluctuating hydrologic conditions, including periods of desiccation, typically result in the dominance of wetland and/or terrestrial taxa (and
corresponding reduction in obligate fluvial or lotic taxa), wetlands, portions of streams t hat exhibit lake characteristics ( e.g ., long water residence time, increased width, or predominance
of biological taxa typically found in non

- flowing conditions), or tidally influenced segments that
fluctuate between predominantly marine and predominantly fresh waters during typical climatic
and hydrologic conditions; or

(b) Ditches, canals and other conveyances, or segments of conveyances, that are man

made, or predominantly channelized or predominantly physically altered; and

1. Are primarily used for wat er management purposes, such as flood protection,
stormwater management, irrigation, or water supply; and

2. Have marginal or poor stream habitat or habitat components, such as a lack of habitat
or substrate that is biologically limited, because the convey ance has cross sections that are
predominantly trapezoidal, has armored banks, or is maintained primarily for water conveyance.

The Department applies relevant water quality standards while implementing programs such as
assessing waterbodies for attainment of water quality standards under 403.067

, F.S.

, or implementing the NPDES permitting programs. When applying the nutrient standards adopted in Rule 62

- 302.531(2)

, F.A.C., the Department will make clear whether the standards for streams adopted in Rule 62

- 302.531(2)(c)

, F.A.C.

, are appli cable

. In impl ementing water quality standards and evaluating whether a particular waterbody meets the provisions of 62

- 302.200(36)(a) or (b) F.A.C. , the Department will
provide public notice and request information relevant to the application of water quality standards

, including the purpose of the waterbody such as flood protection, stormwater management, irrigation, water supply, navigation, boat access to an adjacent waterbody, or frequent recreational use relevant to

62

- 302.200(36)(b)1. F.A.C. The Department will consider all relevant information in implementing water
quality standards and maintain the administrative record s of such decisions

, which are available to the
public.50 

## General Information

Until a Class I or III stream segment is identified as meet ing the provisions in Rule 62

- 302.200(36)(a) or (b), F.A.C. , the criteria in Rule 62

- 302.531(2)(c), F.A.C., will apply. Interested parties wishing to
distinguish the characteristics of a waterbody with respect to provisions in Rule 62

- 302.200(36), F.A.C.

, may pr ovide the Department with the applicable information set forth in the stream definition.

A clear delineation of the geographic boundaries of the segment in question is necessary so that the
Department knows exactly where applicable criteria apply. Delin eation of segment boundaries can
include physical, biological, and chemical information, such as intersections of tributaries into a segment, control structures, the interface of wetlands, or other factors that indicate that the
homogeneous physical, biological, or chemical condition of the segment would change at the boundary.

For waters that meet the definition of 62

- 302.200(36)(a) or (b) F.A.C., the Department shall follo w the
Impaired Waters Rule at 62

- 303 F.A.C.



## Non

- Perennial Water Segments

The stre am nutrient water quality standards adopted by the Department are not designed to apply to
wetlands or uplands. The method for identifying non

- perennial water segments is fundamentally based
on the use of biological information to indicate the long term h ydrologic condition of the water
segment. Specific biological taxa can indicate where a perennial stream segment transitions to a system
more characteristic of wetland or upland conditions.

To identify whether a segment is a non

- perennial water segment, the biological information identified

below will be evaluated by the Department. Other methods that provide this demonstration with
similar accuracy will be accepted by the Department if they are a means to predicting the resulting
biological conditions discussed below

.



### V ASCULAR 

### P LANTS AS 

### I NDICATORS
Many plants and animals are adapted to survive in a specific hydrologic regime. The Department has long relied on lists of vascular plants (including obligate wetland indicators, facultative wetland
indicators, and facultative ( neutral indicators) as one component of the method used to identify and
delineate wetland boundaries, as defined in Chapter 62

- 340, F.A.C. If available, v ascular plant

comm unity composition will be used to assist in distinguishing streams from non

- perennial water segments. Often, both of these types of systems contain few or no rooted herbaceous plants in the
stream channel, because natural turbidity, canopy cover, and color reduce the light available for
photosynthesis. If there are herbaceous plants present, perennial and non

- perennial systems often share many taxa, particularly in areas where they transition to adjacent floodplains. However, the
presence of certain facu ltative or facultative

- wetland herbaceous species within the stream bed can be

a valid indication that the stream is non

- perennial, as these taxa may require moist or saturated conditions to germinate and grow, but would not tolerate the inundation of a pe rennially flowing
stream. Examples of these taxa include, grasses such as Chasmanthium latifolium and Tripsacum dactyloides , sedges such as Cyperus esculentus and Cyperus retrorsus , forbs such as Cuphea
cartagenensis

, Bidens pilosa , and Sphagneticola tril obata , and ferns such as Woodwardia virginica and51 Thelypteris spp. (see complete lists of obligate wetland, facultative wetland and facultative taxa in
Chapter 62

- 340, F.A.C.). During a habitat assessment or Linear Vegetation Survey conducted during a

sit e visit, the presence of facultative and facultative wetland herbaceous vascular plant taxa in the
channel bed would be an indicator that the system is non

- perennial. Many plants within a permanently
wetted channel are aquatic plants, which are defined bu t not listed in Chapter 62

- 340, F.A.C. Under extreme dry conditions, terrestrial taxa could also invade the channel bed of a non

- perennial system.



### M ACROINVERTEBRATES AS 

### I NDICATORS

If available, m acroinvertebrates will be used to distinguish perennial fr om non

- perennial /wetland
systems. Many invertebrates (rheophyllic taxa) require relatively consistent inundation and water
velocity to complete their life cycle, although they have mechanisms to survive extreme drought
conditions, when perennial streams may be reduced to a series of pools. Other (mostly wetland) taxa are adapted to survive the frequent (generally annual) periods of desiccation associated with non

perennial streams or wetlands. Some invertebrate species could be classified as facultative, able to
occupy both perennial and non

- perennial streams. This similarity in fauna is due in part to colonization

of non

- perennial streams by movement of invertebrates from nearby perennial waters, especially those

with adaptations that allow them to survive in temp orary environments, such as a multivoltine life cycle,
highly mobile adults, and rapid growth during the wet season

. Some rarely inundated non

- perennial

streams may be either completely lacking in aquatic invertebrates (terrestrial anim als may be present)

, or have a limited number of facultative species that can complete their life cycles rapidly before the

stream dries

.

The Department has compiled lists of taxa to assist with distinguishing perennial from non

- perennial streams/wetland s ystems ( Tables 8 and 9 ). Rule 62

- 302.531(2)(c), F.A.C.

, do es not apply to non

perennial water segments where there is a dominance of wetland and/or terrestrial taxa (and
corresponding reduction in obligat e fluvial or lotic taxa) or to wetlands

. Rule 62 -3 02.531(2)(c), F.A.C.,

do es apply to perennial streams where drought conditions result in portions of a stream channel
temporarily exhibiting a dry bed, but where wetted pools are still present

.

Stream Condition Index (“SCI”) sampling, the method normally used to collect stream invertebrate taxa,
requires certain hydrologic conditions to distinguish the effects of natural drought from water quality issues. SCI sampling (following DEP Standard Ope rating Procedure SCI 1000) is conducted during periods when water velocity has been 0.05 m/sec or greater for at least 28 days or after a 6 month
period if the site has gone completely dry. Following these SOPs ensures that perennial streams are
typically dominated by taxa from Table 8 , while non

- perennial systems (which tend to transition into linear wetland strands) either would usually not be sampled for SCI or would typically be dominated by

taxa in Table 9 . The presence of long

- lived aquatic species (benthic macroinvertebrates that require water for their entire life cycle) is another reliable method to determine if a stream is more characterized by perennial flow or wetland/terrestrial conditions. A list of long

- lived taxa is included in

DEP SOP SCI 2100.52 For purposes of establishing segments that are excluded from the stream definition, the Department

shall evaluat e the taxa that occur in the segment , as well as the vascular plant information described

above.

Table 8. The most commonly encounter ed invertebrate taxa in flowing streams in Florida. Taxa

information was retrieved from the Florida S tatewide Bio logical DataBase (“SBIO”) and represents 5,309
perennial stream samples collected over the entire state. Some of the organisms are ubiquitous ( e.g. , Chironomidae ) and are found in several system types, however, in flowing systems there are a large
number of rheophyllic and long

- lived taxa that are not commonly encountered in wetlands or non

perennial streams.

Taxa # occurrences (n = 5309) Hyalella azteca 3918
Stenelmis 3715 Cheumatopsyche 3515

Caenis (except C. diminuta) 3162 Rheotanytarsus exiguus grp. 3028 Microcylloepus pusillus 2913
Stenochironomus 2769 Dubiraphia vittata 2588 Polypedilum flavum 2575
Simulium 2503 Ablabesmyia mallochi 2402 Polypedilum scalaenum grp. 2222 Tubificidae 2056 Argia (except A. sedula ) 2022

Oecetis 1992 Hydroptila 1990 Pentaneura inconspicua 1889 Palpomyia/bezzia grp. 1821 Tanytarsus sp. c epler 1780
Hemerodromia 1752 Corbicula fluminea 1696 Tanytarsus sp. l epler 1641 Hydrobiidae 1639 Enallagma 1590 Hydropsyche 1587
Baetidae 1533 Tricorythodes albilineatus 1516 Tanytarsus 1510
Caecidotea 1490

Micromenetus 1428 Sphaeriidae(mollusca) 1367
Neotrichia 1362 Thienemannimyia grp. 1347
Triaenodes 131553 Limnodrilus hoffmeisteri 1311
Pseudochironomus 1288 Heptageniidae (except Stenacron interpunctatum) 1286

Palaemonetes 1274 Ancyronyx variegatus 1256 Rheotanytarsus pellucidus 1156
Chimarra 1149 Cryptochironomus 1139
Cambaridae 1131

Table 9. The most abundant invertebrate taxa found in wetland systems in Florida from 169 samples retrieved from SBIO. The organisms are dominated by oligochaetes ( e.g. , represented by the genera

Dero

, Bratislavia and others), midges ( e.g. , Polypedilum and Goeldichironomus ), and damselflies and
dragonflies ( e.g. , Coenagrionidae and Libellulidae ).

Taxon # of occurrences (n = 169)

Chironomus 105 Dero digitata complex 98 Polypedilum trigonum 96 Kiefferulus 80 Polypedilum tritum 67
Chaoborus 65
Libellulidae 65
Culicidae 60 Hydrocanthus 59 Enchytraeidae 58 Monopelopia boliekae 58 Goeldichironomus holoprasinus 56

Berosus 56

Dero 55 Dero vaga 51
Goeldichironomus 49 Dero pectinata 47
Bratislavia unidentata 46
Odonata 42 Dytiscidae 42
Dero lodeni 39
Oribatei 39
Aeshnidae (except Boyeria and
Nasiaeschna ) 38

Haemonais waldvogeli 36
Goeldichironomus natans 35
Belostoma 35

Uranotaenia 3454 Pristinella longisoma 32
Callibaetis 32
Larsia berneri 31 Gastropoda 31 Pachydiplax longipennis 31

Arrenurus 30
Curculionidae 30 Pristina leidyi 28 Hydrovatus 28 Crangonyx 26 Pristina aequiseta 26

Buenoa 26 Anopheles 26 Callibaetis floridanus 25 Atrichopogon 25

Larsia 25
Corixidae 25

Pristina 25



## Tidally I nfluenced S egments

Tidally influenced segments are those that fluctuate (daily, weekly, or sea s onally) between
predominantly marine and predominantly fresh waters during typical climactic and hydrologic
conditions. The delineation of the segment is important as only portio ns of segments that are demonstrated to fluctuate between marine and fresh conditions are applicable under Rule 62

- 302.200(36)(a), F.A.C. The definition s of predominantly fresh and predominantly marine waters in Rule

62

- 302.200, F.A.C., are as follows:

(29) “Predominantly fresh waters” shall mean surface waters in which the chloride
concentration is less than 1,500 milligrams per liter or specific conductance is less than 4,580 μmhos/cm.

(30) “Predominantly marine waters” shall mean surface waters in whi ch the chloride
concentration is greater than or equal to 1,500 milligrams per liter or specific conductance is

gr e ater than or equal to 4,580 μmhos/cm.

This distinction can be made with chloride or specific conductance data that were collected during
typi cal hydrologic conditions, taking into account tidal cycles and seasonal and climatic variability. The
presence of typical hydrologic conditions may be shown by tide and flow data that are temporally
coupled with the water quality sampling events. The in formation (continuous or frequent grab sampling data) that demonstrates changing salinity conditions during a typical tidal cycle is necessary for the
Department to differentiate the streams coverage under Rule 62

- 302.200(36)

, F.A.C.

Typical hydrologic conditions exclude periods of high rainfall or drought that would create flow
conditions well outside of average annual flow conditions.55 Domestic and industrial wastewater discharges with reasonable potential to discharge nitrogen and
phosphorus in concentr ations that can cause or contribute to nutrient impairments will receive water quality based effluent limits (WQBELs) consistent with Chapter 62

- 650, F.A.C., for total nitrogen and
total phosphorus that implement State water quality standards related to nu trients (narrative and numeric). Florida has approximately 40 domestic and industrial discharges directly to tidally influenced segments of flowing waters with the reasonable potential to cause or contribute to nutrient
impairments.

As part of the NPD ES permitting process for domestic and industrial discharges, existing Florida law
requires that such dischargers need to provide reasonable assurance that nutrient water quality standards will not be violated as a result of their discharge. For those waters that qualify as tidally
influenced segments under Rule 62

- 302.200(36)(a), F.A.C., the water quality standard s in Rule 62

- 302.531(2)(c), F.A.C., do not apply. WQBELs for NPDES permitted domestic and industrial wastewater
discharges into such tidal s egments will be based on the applicable numeric nutrient standards in waters both downstream (estuaries) and upstream (if tidally influenced), as well as the narrative nutrient water quality standard at the point of discharge. The establishment of numeric nutrient water quality
standards in downstream and upstream waterbodies will expedite the derivation of WQBELs for discharges to these tidal segments. If other Department orders or rules have established discharge

limits that explicitly protect the narrative standard (in

- stream, upstream, and downstream) in this type
of segment, that limit is sufficient to implement numeric nutrient criteria as long as it continues to
implement the standards at R ule 62

- 302.531(2), F.A.C.



## Water Management Conveyances

The stream definition in Rule 62

- 302.200(36)(b), F.A.C., excludes the following: D itches, canals and
other conveyan ces, or segments of conveyances, (hereafter referred to collectively as “conveyances”),

that are man

- made, or predominantly channelized or pred ominantly physically altered; and

1. Are primarily used for water management purposes, such as flood protection, stormwater

management, irrigation, or water supply; and

2. Have marginal or poor stream habitat or habitat components, such as a lack of habita t or substrate

that is biologically limited, because the conveyance has cross sections that are predominantly
trapezoidal, has armored banks, or is maintained primarily for water conveyance.

The phrase “primarily used for” in the definition of stream does not modify the definition of “designated

use” in Rule 62

- 302.200

, F.A.C. The designated use continues to be defined by the c lassification system

in Rule 62

- 302.400

, F.A.C.

The following information will be used in identifying segments meeting the require ments in Rule 62

- 302.200(36)(b):56 

### D ELINEATION
Only those sections that meet the requirements in Rule 62

- 302.200(36)(b)

, F.A.C.

, are eligible to retain the narrative nutrient criteria. A map of the applicable areas for review must clearly delineate the

upst ream and downstream extent of the artificial conveyance.



### P RIMARY 

### W ATER 

### M ANAGEMENT 

### P URPOSE

Information must show that the current purpose of the man

- made or physically altered conveyance is
primarily water management such as flood protection, stormwater m anagement, irrigation, or water supply. Relevant documentation can include photographic evidence, funding authorizations,
operational protocols, local agreements, permits, memoranda of understanding, contracts, or other

records that indicate how the conve yance is operated and maintained

, and must verify that the design

or maintenance of the conveyance allows the conveyance to currently function in a manner consistent

with the primary water management purpose.

The phrase “primarily used for water management purposes” in Rule 62

- 302.200(36)(b)1.

, F.A.C.

, does

not include use for navigation or boat access to an adjacent waterbody, or frequent recreational

activities

. The purpose of the design of the conveyance in conjunction with the purpose of any
subsequent alterations or maintenance is evaluated to help differentiate whether its pri mary function is
navigation , boat access to adjacent waterbodies, or frequent recreational activities; versus flood
protection, stormwater management, irrigation, or wa ter supply. If available information provided by the public, in response to public notice and request for information, or otherwise known by the
Department, demonstrates that the segment is commonly used for navigation, boat access, or other
frequent recr eational activities such as swimming or boating, then the primary purpose is not water management and the department will apply the nutrient standards in Rule 62

- 302.531(2) F.A.C.

F reshwater f inger canals dug during the construction of neighborhoods desig ned to create homes with

boat access to waterbodies are an example of a navigation or access as a primary purpose.



### P HYSICAL 

### A LTERATION THAT 

### L IMITS 

### H ABITAT

The definition at Rule 62

- 302.200(36)(b)2.

, F.A.C.

, outlines that the conveyance must h ave marginal or poor stream habitat or habitat components that limit biological function because the conveyance has
cross sections that are predominantly trapezoidal, has armored banks, or is maintained primarily for

water conveyance. Photographic evidence of these l imitations can demonstrate the habitat condition of
the conveyance. Also, Standard Operating Procedures for conducting stream Habitat Assessments have
been adopted by the Department in DEP SOP FT 3000. In order to qualify under Rule 62

- 302.200(36)(b)2., F.A.C., the overall Habitat Assessment score must score either marginal or poor.

The Habitat Assessment procedures include long

- established criteria that can be used to demonstrate
physical alterations in a system, and can provide information verifying t hat ongoing maintenance
activities are associated with perpetuating those physical alterations. The lack of substrate and degree of artificial channelization are part of the definition and component s of the Habitat Assessment scoring
system, and a Habita t Assessment score must be completed by an individual with demonstrated proficiency (as per DEP SOP FT 3000) to indicate that the definition related to the segment’s57 modification is met. If there are different segments within the conveyance that exhibit d ifferent
features, a Habitat Assessment is needed for each segment. The Department will conduct a Habitat

Assessment if one was not previously conducted

.

To ensure adequate water volume delivery, routine maintenance activities associated with conveyances used for water management purposes often involve removal of aquatic substrate ( e.g ., woody debris,
aquatic and wetland vegetation), dredging of sediments, and/or removal of riparian trees. If the

Substrate Diversity and Availability and Artificial Channeli zation metric s in the Habitat Assessment score
in the Poor category, then one can conclude that the conveyance is predominantly altered and is being
maintained in a manner to serve the primary purpose for water management. The overall habitat

assessment m ay not rank as Poor due to other factors, but a primary factor being considered in the

definition is the alteration and the maintenance of the conveyance . If the Substrate Diversity and
Availability or Artificial Channelization scores are currently in the marginal range due to lack of
maintenance of the conveyance at the time the assessment was completed, the Department will

evaluate whether there is a maintenance program with a schedule to demonstrate that the conveyance
is still being maintained for its primary water management purpose. If the overall Habitat Assessment

score is other than poor or marginal, the conveyances would not meet the definition.58 

## Appendix A. Minimally Disturbed and Healthy Streams

**Table A**

**- 1.**  **List of healthy streams (passing SCI) used to inform RPS expectations.** 

STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

3497 Fisheating Creek @ Cr 27 0.0% 54 1

3509 ANCLOTE RIVER MOUTH AT S.R. 54 0.0% 47 1

3513 Withlacoochee River @ Stokes Ferry 40.4% 43 3

3531 S321 Econfina Creek 0.0% 73 1

3535 SUW010 Suwannee River 83.8% 61 1

3536 S418 Alaqua Creek 4.0% 90 1

3542 S250 Perdido River 9.1% 57 1

3545 S360 Blackwater River @ Hwy 4 4.0% 58 2

3546 S365 Yellow River @ Hwy 2 0.0% 79 1

3549 S377 Escambia River @ HWY 4 Bridge 0.0% 51 1

3554 FLO 57 162 0 Alafia River 28.8% 70 2

3555 Little Manatee River at HWY 301 2.5% 63 2

3569 Little Econlockhatchee River 5.1% 46 1

14264 SJB

- LR

- 1006 BLACK CREEK 2.0% 73 1

21179 Spruce Creek 0.0% 45 1

21200 Rice Creek at SR100 4.0% 69 1

21201 Moultrie Creek 11.1% 63 1

21202 Orange Creek 1.0% 73 2

21460 Wrights Creek at CR 177A 4.0% 76 1

21461 BIG COLDWATER CR @ CR 191 1.0% 76 1

36366 Z2

- LR

- 3010 Suwannee River 0.0% 57 1

36631 Z3

- SS

- 3009 unnamed small stream 1.0% 83 1

36634 Z3

- SS

- 3014 Trout River 2.0% 57 2

36636 Z3

- SS

- 3038 Two mile Creek 1.0% 43 2

36639 Z2

- SS

- 3003 Roaring Creek 0.0% 46 1

36641 Z2

- SS

- 3016 unnamed small stream 31.8% 73 2

36642 Z2

- SS

- 3030 unnamed small stream 0.0% 51 2

36646 Z2

- SS

- 3068 unnamed small stream 1.0% 79 2

36648 Z2

- SS

- 3075 unnamed small stream 0.0% 66 2

36998 Z4

- LR

- 3004 Alafia River 21.7% 41 2

37003 Z4

- LR

- 3022 Peace River 7.1% 48 2

37006 Z4

- LR

- 3032 Anclote River 27.3% 43 2

37108 Z5

- LR

- 3012 Lake Marion Creek 0.0% 45 1

37111 Z5

- LR

- 3016 Boggy Creek 38.4% 47 259 STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

37506 Z1

- LR

- 3008 Big Water Coldwater 0.0% 82 2

37508 Z1

- LR

- 3011 Holmes Creek 7.6% 64 2

37539 Z1

- SS

- 3006 Alaqua Creek 0.5% 90 2

37540 Z1

- SS

- 3007 Williams Creek 0.0% 67 2

37542 Z1

- SS

- 3010 unnamed stream 2.5% 62 2

37543 Z1

- SS

- 3012 unnamed stream 0.0% 60 2

37544 Z1

- SS

- 3013 unnamed stream 0.0% 72 2

37545 Z1

- SS

- 3022 titi creek 1.5% 76 2

37546 Z1

- SS

- 3025 Alaqua Creek 1.0% 79 2

37547 Z1

- SS

- 3026 Horsehead Creek 0.0% 46 1

37548 Z1

- SS

- 3027 unnamed stream 4.0% 59 2

38195 Z3

- SS

- 3049 South prong St. Mary's River 6.1% 93 1

38441 Z2

- LR

- 4004 Withlacoochee River 0.0% 52 2

38442 Z2

- LR

- 4005 Suwannee River 0.0% 50 2

38444 Z2

- LR

- 4008 Aucilla River 0.0% 49 2

38445 Z2

- LR

- 4009 Suwannee River 0.0% 41 2

38448 Z2

- LR

- 4012 Aucilla River 11.1% 55 2

38450 Z4

- LR

- 4002 Peace River 0.0% 52 2

38451 Z4

- LR

- 4003 Braden River 8.1% 51 2

38453 Z4

- LR

- 4005 Pithlachascottee River 0.0% 74 2

38454 Z4

- LR

- 4006 Horse Creek 16.2% 58 2

38455 Z4

- LR

- 4009 Withlacoochee River 24.2% 42 1

38458 Z4

- LR

- 4012 N. Prong Alafia River 1.0% 62 2

38479 Z1

- LR

- 4001 Ochlockonee River 0.5% 45 2

38480 Z1

- LR

- 4002 Chipola River 0.0% 59 2

38481 Z1

- LR

- 4003 Choctawhatchee River 4.0% 66 2

38482 Z1

- LR

- 4004 East Fork Creek 20.2% 64 2

38484 Z1

- LR

- 4006 Ochlockonee River 0.0% 58 2

38485 Z1

- LR

- 4007 Chipola River 16.2% 58 2

38486 Z1

- LR

- 4008 Yellow River 1.0% 66 2

38488 Z1

- LR

- 4011 Yellow River 0.0% 67 2

38502 Z5

- LR

- 4004 Boggy Creek 0.0% 57 1

38504 Z5

- LR

- 4009 Fisheating Creek 35.4% 60 1

38520 Z3

- SS

- 4008 Gee Creek 0.5% 48 2

38521 Z3

- SS

- 4010 Simms Creek 0.0% 90 1

38525 Z3

- SS

- 4023 Two Mile Creek 0.5% 47 2

38529 Z3

- SS

- 4051 unnamed stream 2.0% 77 160 STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

38559 Z1

- SS

- 4003 unknown stream 4.5% 60 2

38560 Z1

- SS

- 4006 unknown stream 0.0% 68 2

38561 Z1

- SS

- 4009 unknown stream 0.0% 77 2

38562 Z1

- SS

- 4013 unknown stream 0.0% 93 2

38563 Z1

- SS

- 4015 unknown stream 0.0% 47 1

38564 Z1

- SS

- 4017 unknown stream 5.1% 62 2

38565 Z1

- SS

- 4018 unknown stream 0.0% 81 2

38566 Z1

- SS

- 4022 unknown stream 0.0% 68 2

38568 Z1

- SS

- 4027 unknown stream 0.0% 70 2

38570 Z5

- SS

- 4008 Telegraph Creek 0.0% 54 1

38571 Z5

- SS

- 4022 unnamed small stream 0.0% 58 1

38572 Z5

- SS

- 4034 Gore Branch 7.1% 44 1

38573 Z5

- SS

- 4041 Arbuckle Creek 0.0% 45 1

38574 Z5

- SS

- 4056 Bedman Creek 0.0% 51 1

38580 Z6

- SS

- 4010 Mosquito Creek 2.0% 57 1

38603 Z2

- SS

- 4029 Water Oak Creek 0.0% 64 1

38605 Z2

- SS

- 4033 unnamed Stream 0.0% 67 1

38607 Z2

- SS

- 4040 Mitchell Creek 0.0% 62 1

38609 Z4

- SS

- 4002 Oak Creek 33.3% 52 1

38610 Z4

- SS

- 4004 Gator Creek 0.0% 52 2

38612 Z4

- SS

- 4020 Blackwater Creek 14.1% 64 1

38614 Z4

- SS

- 4024 unnamed stream 33.3% 59 1

19010006 ST MARYS RIVER AT SR #2 0.0% 103 1

19010041 St Mary's River at CR 125 0.0% 78 1

19010076 Calkins Creek at Turner Cemet e ry Road 0.0% 76 2

19020052 Alligator Ck east of US301 & SR115 0.0% 63 1

20010204 Lt Wekiva R, 100 yd dwnstr of Altamonte Spgs STP 38.9% 53 2

20010333 Robert's brnch @ curryville rd 20.7% 65 2

20010431 WEKIVA R. UPSTRM OF ROCK SPRINGS 65.7% 56 2

20010438 WEKIVA R UPSTR OF BLACKWATER CR 49.5% 82 1

20020317 SILVER RUN AT CONFLUENCE WITH BOAT

RAMP CANAL 33.3% 57 1

20030388 PETERS CREEK #2 CULVERT SR 315 0.0% 86 1

20030481 South Fork Black Creek @ SR 21 0.0% 83 1

20030920 Mormon Branch upstream of SR 19 in
Ocala NF 25.3% 69 3

21010008 ALAPAHA RIVER 1 SR 150 HAMILTON 9.1% 59 161 STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

21010018 Falling Creek @ CR 131, above falls

Suwannee R. 0.0% 54 2

21010033 Little Creek @ US 441 0.0% 89 1

21010040 Suwannee River above White Springs

WWTP 3.0% 69 1

21010054 PCS Phosphate FYI5, test site 1 0.0% 52 1

21020001 SUWANNEE R U/S FR CONFL SWIFT CR 0.5% 58 2

21020062 SUWANNEE R ~ 150M D/S SWIFT CREEK 0.0% 52 2

21020098 Bethel Creek S Frk at SR 53 0.0% 76 1

21020124 LITTLE CR. ~ 300 M UPSTREAM

SUWANNEE R 0.0% 73 2

21030011 SANTA FE R #6 AT SR 47 90.9% 49 1

21030049 NEW RIVER AT SR 18 0.0% 76 1

22020093 Quincy Creek above SR267 bridge 0.0% 57 1

22040004 AUCILLA R AT US 90 0.0% 61 1

22040009 WASCISSA R #1 AT BIG BLUE SPRING 65.7% 40 1

22040041 Wacissa River Bio Site 2 4.0% 65 1

22050083 Steinhatchee @ Canal Road 34.3% 52 2

23010444 WITHLACOOCHEE R@CANOE LAUNCH IN

LACOOCHEE PARK 29.3% 52 1

23010464 Withlacoochee R @ county park off Auton Rd (TP3) 5.6% 43 2

23020001 Waccasassa R at US 19 20.2% 66 2

23020020 Waccasassa River @ WMA 0.0% 80 2

23020021 Waccasassa River @ OB Road #3 0.0% 82 2

24010002 Manatee R 20 m below SR64 bridge (TP1) 41.4% 64 1

24010063 Gamble Crk, East on Golf Course Rd. 2.0% 43 2

24020080 Alafia Rv

- TP 80 8.6% 55 2

24020361 Alafia River S Prong @ Bethlehem Road 0.0% 67 1

24030044 Hillsborough R in Hills River State Park (TP5) 3.5% 66 2

24030081 Itchepackasassa Ck @ CR 582 0.0% 58 2

24040072 Anclote River @ Green Brooks Estates 0.0% 45 2

25020013 BOWLEGS CREEK MT PISGAH RD 0.0% 60 1

25020015 PEACE R AT SR64 ZOLFO SPRINGS 18.2% 43 1

25020111 Horse Creek @ SR 72 Bridge 41.9% 70 2

25020291 Troublesome Creek at Dansby Road 0.0% 59 1

25020292 Joshua Creek at airport road 37.4% 47 1

25020293 Peace River @ 664A 16.2% 48 162 STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

25020294 Charlie creek at Sweetwater Road 6.1% 61 1

25020295 Paynes creek at State Park 12.1% 63 2

25020296 Paynes Creek at Hobbs Road 0.0% 61 1

25020300 Hawthorne Creek at Reynolds 12.1% 59 1

25020423 HORSE CREEK AT SR70 56.6% 57 1

25020427 HORSE CRK AT SR 665 BRDG 8.1% 48 1

25020548 Little Charley Bowlegs Ck, Highlands
Hammock SP 0.0% 46 1

25020550 HOG BAY at CR 763 (S of Arcadia) 12.1% 53 1

25020553 Myrtle Slough

- East Brch Punta G. Ref site 0.0% 56 2

25022977 Charlie Cr upstream of US27. Horse Cr short term study 19.2% 71 1

25022983 Horse Cr,located on Royal Park Estates, south of US72. Horse Cr short term study 18.2% 60 2

25030009 MYAKKA RIVER ABOVE SR 70 BRIDGE 0.0% 59 1

26010430 Fort Drum Creek @ US441 0.5% 49 2

26010614 Carter Creek @ Riverdale Rd 0.0% 72 1

27010050 Moses Creek @ US 1 0.0% 60 1

27010070 STEVENS BR OFF CR 204 SOUTH OF

PELICER CEMETARY 13.1% 76 1

27010337 Horse Creek at Croton Road, Eau Gallie 4.5% 40 2

27010579 Tomoka River @ Eleventh Street Bridge 6.1% 56 3

28010081 LOX R AT TURNPIKE. W OF JUPITER 0.0% 44 2

28020147 HICKEY CREEK 1 MI SOUTH OF SR80 0.0% 52 2

28020155 Bedman Creek at Betts house 0.0% 46 2

31020012 CHIPOLA R HWY 274 CROSS CHIPOLA 0.0% 42 1

32008102 SFTRIB_ARSP 0.5% 53 2

32010066 SHAW STILL BRANCH E COLLEGE DR.

TALL. BASE LINE 18.2% 45 2

32010121 Mill Creek Eglin AFB Golf Course below
17th HoleJAX GRD stream restoration proj. 3.0% 59 2

32010268 Turkey Creek (Bolton) East of Niceville 55.1% 55 2

32020258 Holmes Creek at 276A 0.0% 56 1

32030023 ECONFINA CREEK AT SCOTT RD 1.0% 82 1

33010112 Coffee Cr 1800Ft N of Stiller Lake Rd 0.0% 63 1

33030003 BIG COLDWATER CR E FORK HWY 4 2.0% 72 1

283430821152 Little Withlacoochee River at River

Junction recreation area 0.0% 79 163 STORET ID Station Description RPS Average

Percent 4 to 6

Scores Mean SCI

2007

Score SCI

2007

(n)

27051558216422 Deer Prairie Slough, on land acquired by Sarasota County 2.0% 74 1

27422738148581 Whidden Cr at Unnamed Rd off of Rt 17/35 1.0% 52 1

27514908208136 N.Prong Alafia at Alderman Ford Park 0.0% 77 1

28152268239035 Pithlachascotee River at Starkey Blvd, upstream of bridge 0.0% 48 2

273116508208152 East Fork Manatee R. S of US62 on Duette Park. Myakka DOSSAC study 0.0% 71 1

28020299FTM BEE BRANCH SITE 2 0.0% 49 1

3598

- B Sampson River 1.0% 65 1

BAK208GS St. Mary's River

- BAK208GS 0.0% 50 1

CHA627GS Alligator Creek

- CHA627GS 0.0% 45 2

CLA243LV Ates Creek

- CLA243LV 0.0% 91 1

CLA246GS Peters Creek

- CLA246GS 0.0% 83 2

CLA254LR Black Creek

- CLA254LR 0.0% 91 1

DEP010C1 Deep Creek @441 0.0% 80 1

FAL020C1 Falling Creek @C

- 131 0.0% 55 1

GAD106GS Yon Creek

- GAD106GS 0.0% 81 1

GLA630GS Cypress Branch

- GLA630GS 0.0% 63 1

HAR610GS Oak Creek

- HAR610GS 1.3% 57 3

LAF176GS Bethel Creek

- LAF176GS 0.0% 61 1

LIB104LV Mule Creek

- LIB104LV 0.0% 67 1

LOCBCC Little Orange Creek below Cabbage 0.0% 89 1

MPS St. Mary's River middle prong 0.0% 71 1

MRN504LR Rainbow River

- MRN504LR 42.4% 62 2

NUTREF001 Telogia Creek at CR 1641 0.0% 78 1

OSC686LV Crabgrass Creek 0.0% 62 1

PUT308GS Little Orange Creek

- PUT308GS 0.0% 75 1

ROB01C1 Robinson Branch @C

- 246 0.0% 81 1

S231 Attapulgus Creek @ 159 0.0% 65 1

S232 Swamp Creek @ 159 0.0% 51 1

SFR030C1 Santa Fe River @ 18 Worthington Springs 0.0% 64 1

SPRINGS006 Wakiwa (Wekiva) R. ab. Rock Spgs run 45.5% 41 1

SSR Silver River above confluence of
Oklawaha River 32.3% 46 1

UNI234LV Olustee Creek

- UNI234LV 0.0% 44 1

WAK168LR St. Marks River

- WAK168LR 15.2% 45 164 

### Table A

**- 2. List of benchmark streams used to establish RPS and LVS**  **expectations.**

STORET ID Station Description WBID RPS Average

Percent 4 to 6

Scores

3531 S321 Econfina Creek 553 0.0%

3545 S360 Blackwater River @ Hwy 4 24C 4.0%

3546 S365 Yellow River @ Hwy 2 30 0.0%

3549 S377 Escambia River @ HWY 4 Bridge 10C 0.0%

3554 FLO 57 162 0 Alafia River 1621B 28.8%

21201 Moultrie Creek 2493 11.1%

38482 Z1

- LR

- 4004 East Fork Creek 18A 20.2%

38486 Z1

- LR

- 4008 Yellow River 30B 1.0%

38570 Z5

- SS

- 4008 Telegraph Creek 3236A 0.0%

19010006 ST MARYS RIVER AT SR #2 2097K 0.0%

19010041 St Mary's River at CR 125 2211 0.0%

19010076 Calkins Creek at Turner Cemetary Road 2264 0.0%

20030388 PETERS CREEK #2 CULVERT SR 315 2444 0.0%

20030481 South Fork Black Creek @ SR 21 2415E 0.0%

20030920 Mormon Branch upstream of SR 19 in Ocala NF 2905 25.3%

21010008 ALAPAHA RIVER 1 SR 150 HAMILTON 3324 9.1%

22020093 Quincy Creek above SR267 bridge 1303 0.0%

22040009 WASCISSA R #1 AT BIG BLUE SPRING 3424 65.7%

22040041 Wacissa River Bio Site 2 3424 4.0%

22050083 Steinhatchee @ Canal Road 3573A 34.3%

24010002 Manatee R 20 m below SR64 bridge (TP1) 1807C 41.4%

24030044 Hillsborough R in Hills River State Park (TP5) 1443D 3.5%

25030009 MYAKKA RIVER ABOVE SR 70 BRIDGE 1877A 0.0%

26010430 Fort Drum Creek @ US441 3164 0.5%

32030023 ECONFINA CREEK AT SCOTT RD 553 1.0%

33030003 BIG COLDWATER CR E FORK HWY 4 18A 2.0%

27051558216422 Deer Prairie Slough, on land acquired by Sarasota County 1978 2.0%

28020299FTM BEE BRANCH SITE 2 3235E 0.0%

BAK208GS St. Mary's River

- BAK208GS 2097K 0.0%

CLA243LV Ates Creek

- CLA243LV 2498 0.0%

CLA246GS Peters Creek

- CLA246GS 2444 0.0%

DEP010C1 Deep Creek @441 3388 0.0%

GLA630GS Cypress Branch

- GLA630GS 3235G 0.0%

HAR610GS Oak Creek

- HAR610GS 1897 1.3%

LIB104LV Mule Creek

- LIB104LV 684 0.0%65 STORET ID Station Description WBID RPS Average

Percent 4 to 6

Scores

LOCBCC Little Orange Creek below Cabbage 2713 0.0%

MPS St. Mary's River middle prong 2211 0.0%

NUTREF001 Telogia Creek at CR 1641 1300 0.0%

PUT308GS Little Orange Creek

- PUT308GS 2713 0.0%

ROB01C1 Robinson Branch @C

- 246 3448 0.0%

SFR030C1 Santa Fe River @ 18 Worthington Springs 3605D 0.0%



### Table A

**- 3. List of healthy streams (passing SCI) used to**  **inform stream**  **chlorophyll a expectations.**

WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

4 BRUSHY CREEK 2006 2.2 64

4 BRUSHY CREEK 2007 2.1 64

4 BRUSHY CREEK 2008 1.3 64

4 BRUSHY CREEK 2009 1.1 64

4 BRUSHY CREEK 2010 1.1 64

18 BIG COLDWATER CREEK 2006 3.1 76

18 BIG COLDWATER CREEK 2007 3.2 76

18 BIG COLDWATER CREEK 2008 1.0 76

18 BIG COLDWATER CREEK 2009 1.0 76

18 BIG COLDWATER CREEK 2010 1.0 76

18 BIG COLDWATER CREEK 2011 1.0 76

19 BIG JUNIPER CREEK 2007 3.8 70

24 BLACKWATER RIVER 2009 1.0 68

30 YELLOW RIVER 2006 2.1 70

30 YELLOW RIVER 2007 2.0 70

30 YELLOW RIVER 2008 1.3 70

30 YELLOW RIVER 2009 1.6 70

30 YELLOW RIVER 2010 1.3 70

35 POND CREEK 2007 3.6 78

36 BRAY MILL CREEK 2009 1.0 48

52 COWARTS CREEK 2006 1.0 59

52 COWARTS CREEK 2007 1.0 59

52 COWARTS CREEK 2008 1.0 59

52 COWARTS CREEK 2009 1.3 59

52 COWARTS CREEK 2010 1.2 5966 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

54 WRIGHTS CREEK 2006 1.0 67

54 WRIGHTS CREEK 2007 1.0 67

54 WRIGHTS CREEK 2008 1.0 67

54 WRIGHTS CREEK 2009 1.0 67

54 WRIGHTS CREEK 2010 1.0 67

59 HOLMES CREEK 2006 1.0 59

59 HOLMES CREEK 2009 1.0 59

72 PERDIDO RIVER (MIDDLE B) 2006 1.8 59

72 PERDIDO RIVER (MIDDLE B) 2007 2.2 59

72 PERDIDO RIVER (MIDDLE B) 2008 1.1 59

72 PERDIDO RIVER (MIDDLE B) 2009 1.1 59

72 PERDIDO RIVER (MIDDLE B) 2010 1.2 59

72 PERDIDO RIVER (MIDDLE B) 2011 1.1 59

87 LITTLE PINE BARREN CREEK 2009 3.2 71

88 MARE CREEK 2009 1.1 73

107 MURDER CREEK 2009 1.2 64

127 MANNING CREEK 2009 1.1 67

149 MCDAVID CREEK 2006 5.6 73

149 MCDAVID CREEK 2010 1.4 73

176 POND CREEK 2007 4.7 81

291 JACKS BRANCH 2010 1.8 42

316 CROOKED CREEK 2009 1.0 44

351 ALAQUA CREEK 2006 1.1 82

351 ALAQUA CREEK 2007 1.0 82

351 ALAQUA CREEK 2008 1.0 82

351 ALAQUA CREEK 2009 1.1 82

351 ALAQUA CREEK 2010 1.0 82

553 ECONFINA CREEK 2006 1.0 75

553 ECONFINA CREEK 2007 1.0 75

553 ECONFINA CREEK 2008 1.0 75

553 ECONFINA CREEK 2009 1.0 75

553 ECONFINA CREEK 2010 1.0 75

684 MULE CREEK 2006 1.9 73

716 CANEY BRANCH 2006 1.9 49

757 BEAR CREEK 2006 2.6 72

896 POLK CREEK 2010 1.0 55

921 HARVEY CREEK 2006 1.9 6167 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

921 HARVEY CREEK 2010 1.0 61

998 SOPCHOPPY RIVER 2006 2.1 49

1024 BLACK CREEK 2010 1.0 85

1028 MCBRIDE SLOUGH 2006 1.7 57

1300 TELOGIA CREEK 2006 2.1 70

1300 TELOGIA CREEK 2007 1.1 70

1300 TELOGIA CREEK 2008 1.6 70

1300 TELOGIA CREEK 2009 1.0 70

1300 TELOGIA CREEK 2010 1.0 70

1381 LITTLE WITHLACOOCHEE 2008 3.5 56

1381 LITTLE WITHLACOOCHEE 2009 1.8 56

1409 PITHLACHASCOTEE RIVER 2008 4.0 58

1409 PITHLACHASCOTEE RIVER 2010 1.2 58

1431 GATOR CREEK 2008 4.5 54

1431 GATOR CREEK 2009 1.7 54

1431 GATOR CREEK 2010 1.9 54

1436 HORSE (HORSESHOE) CREEK 2009 2.0 60

1436 HORSE (HORSESHOE) CREEK 2010 3.3 60

1482 BLACKWATER CREEK 2010 9.4 64

1583 POLEY CREEK 2008 3.5 44

1639 THIRTYMILE CREEK 2006 1.5 53

1639 THIRTYMILE CREEK 2007 1.3 53

1639 THIRTYMILE CREEK 2008 2.4 53

1688 LITTLE BULLFROG CREEK 2006 1.5 42

1688 LITTLE BULLFROG CREEK 2007 1.3 42

1688 LITTLE BULLFROG CREEK 2009 1.8 42

1790 LITTLE MANATEE RIVER (SOUTH FORK) 2009 1.1 51

1811 MANATEE RIVER (EAST FORK) 2007 1.7 64

1813 CARTER CREEK 2006 8.7 65

1978 DEER PRAIRIE CREEK 2008 2.3 67

1978 DEER PRAIRIE CREEK 2010 1.2 67

1997 HAWTHORNE CREEK 2008 1.9 59

2001 HOG BAY 2007 1.8 50

2001 HOG BAY 2008 2.6 50

2074 ALLIGATOR CREEK 2007 1.4 44

2074 ALLIGATOR CREEK 2008 4.0 44

2196 DEEP CREEK 2008 1.4 4968 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

2211 MIDDLE PRONG ST MARYS RIVER 2006 1.6 70

2211 MIDDLE PRONG ST MARYS RIVER 2007 1.3 70

2211 MIDDLE PRONG ST MARYS RIVER 2008 1.0 70

2211 MIDDLE PRONG ST MARYS RIVER 2009 1.0 70

2264 CALKINS CREEK 2008 2.6 76

2444 PETERS CREEK 2008 1.4 86

2444 PETERS CREEK 2009 1.5 86

2478 GREENS CREEK 2007 1.3 66

2493 MOULTRIE CREEK 2006 1.3 56

2493 MOULTRIE CREEK 2007 1.3 56

2493 MOULTRIE CREEK 2008 1.1 56

2493 MOULTRIE CREEK 2009 1.0 56

2493 MOULTRIE CREEK 2010 1.2 56

2634 TOMOKA RIVER 2006 1.1 47

2634 TOMOKA RIVER 2007 1.3 47

2634 TOMOKA RIVER 2008 4.2 47

2634 TOMOKA RIVER 2009 2.8 47

2634 TOMOKA RIVER 2010 2.0 47

2634 TOMOKA RIVER 2011 1.3 47

2641 UNNAMED BRANCH 2010 1.5 51

2646 LITTLE TOMOKA RIVER 2010 4.0 50

2673 UNNAMED DRAIN 2010 1.7 47

2675 SAND CREEK 2010 2.8 57

2679 UNNAMED DRAIN 2010 1.0 59

2695 LITTLE HATCHET CREEK 2006 2.2 56

2698 HOGTOWN CREEK 2006 1.3 49

2713 LITTLE ORANGE CREEK 2006 1.5 77

2730 DEEP CREEK RODMAN RESERVOIR 2011 1.1 60

2747 ORANGE CREEK 2006 1.2 78

2747 ORANGE CREEK 2007 1.1 78

2747 ORANGE CREEK 2008 1.0 78

2747 ORANGE CREEK 2009 1.1 78

2747 ORANGE CREEK 2010 1.0 78

2756 MILL CREEK 2010 1.2 65

2987 LITTLE WEKIVA RIVER 2006 2.7 56

2987 LITTLE WEKIVA RIVER 2007 3.9 56

2987 LITTLE WEKIVA RIVER 2009 3.4 5669 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

2987 LITTLE WEKIVA RIVER 2010 1.5 56

2991 ECONLOCKHATCHEE RIVER 2006 1.1 62

2991 ECONLOCKHATCHEE RIVER 2007 1.2 62

2991 ECONLOCKHATCHEE RIVER 2008 1.1 62

2997 HOWELL CREEK BELOW LAKE

HOWELL 2009 6.2 55

2999 BEAR CREEK 2009 1.8 52

3073 CRABGRASS CREEK 2007 1.5 62

3081 HORSE CREEK 2006 2.4 42

3081 HORSE CREEK 2007 2.5 42

3081 HORSE CREEK 2008 3.1 42

3164 FORT DRUM CREEK 2008 17.2 48

3324 ALAPAHA RIVER 2006 1.2 54

3324 ALAPAHA RIVER 2007 1.6 54

3324 ALAPAHA RIVER 2008 1.6 54

3324 ALAPAHA RIVER 2009 1.1 54

3324 ALAPAHA RIVER 2010 1.3 54

3325 ALLIGATOR CREEK 2006 1.3 69

3330 LITTLE ALAPAHA RIVER 2006 1.3 44

3351 ROCKY CREEK NEAR BENTON 2006 1.1 59

3351 ROCKY CREEK NEAR BENTON 2007 2.3 59

3351 ROCKY CREEK NEAR BENTON 2010 1.0 59

3388 DEEP CREEK 2006 1.5 78

3401 CAMP BRANCH 2010 3.2 55

3402 ECONFINA RIVER 2006 1.1 51

3402 ECONFINA RIVER 2007 2.4 51

3402 ECONFINA RIVER 2008 1.4 51

3402 ECONFINA RIVER 2009 1.0 51

3402 ECONFINA RIVER 2010 1.0 51

3422 SUWANNEE RIVER (LOWER SEGMENT) 2006 1.2 48

3448 ROBINSON CREEK 2006 1.4 81

3480 BETHEL CREEK 2006 1.0 54

3506 NEW RIVER 2010 2.2 73

3598 SAMPSON RIVER 2010 1.7 69

3649 COW CREEK 2006 2.6 69

3649 COW CREEK 2007 1.9 69

3649 COW CREEK 2010 1.4 6970 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

3699 WACCASASSA RIVER 2007 3.0 75

3699 WACCASASSA RIVER 2008 2.6 75

3699 WACCASASSA RIVER 2009 2.1 75

3731 WEKIVA RIVER 2009 1.0 71

1320B RAINBOW SPRINGS GROUP RUN 2006 1.0 58

1320B RAINBOW SPRINGS GROUP RUN 2007 1.0 58

1320B RAINBOW SPRINGS GROUP RUN 2008 1.0 58

1320B RAINBOW SPRINGS GROUP RUN 2009 1.0 58

1320B RAINBOW SPRINGS GROUP RUN 2010 1.0 58

1351A OUTLET RIVER 2010 11.8 43

1443D HILLSBOROUGH RIVER 2008 2.2 61

1443D HILLSBOROUGH RIVER 2009 1.2 61

1495A ITCHEPACKESASSA CREEK 2007 1.9 49

1495A ITCHEPACKESASSA CREEK 2008 9.8 49

1495B ITCHEPACKESASSA CREEK 2008 3.1 58

1573D WEOHYAKAPKA CREEK 2010 6.2 56

1592C MUSTANG RANCH CREEK 2010 2.6 59

160B SHOAL RIVER 2007 2.9 84

1621A ALAFIA RIVER ABOVE

HILLSBOROUGH BAY 2009 3.5 41

1621B ALAFIA RIVER ABOVE FLINT HAWK 2006 2.1 57

1621B ALAFIA RIVER ABOVE FLINT HAWK 2007 2.0 57

1621B ALAFIA RIVER ABOVE FLINT HAWK 2008 1.7 57

1621B ALAFIA RIVER ABOVE FLINT HAWK 2009 3.2 57

1621B ALAFIA RIVER ABOVE FLINT HAWK 2010 3.5 57

1621D ALAFIA RIVER (NORTH PRONG)

LOWER SEGMENT 2008 1.6 63

1621D ALAFIA RIVER (NORTH PRONG)

LOWER SEGMENT 2009 1.6 63

1685B LIVINGSTON CREEK 2006 19.0 65

1685B LIVINGSTON CREEK 2007 6.4 65

1685B LIVINGSTON CREEK 2008 11.8 65

1685B LIVINGSTON CREEK 2009 4.4 65

1685B LIVINGSTON CREEK 2010 3.3 65

1742B LITTLE MANATEE RIVER (NORTH FORK) 2006 1.5 46

1757A PAYNE CREEK (LOWER SEGMENT) 2008 1.1 59

1757A PAYNE CREEK (LOWER SEGMENT) 2009 2.8 5971 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

1757B PAYNE CREEK (UPPER SEGMENT) 2007 1.3 62

1757B PAYNE CREEK (UPPER SEGMENT) 2008 1.1 62

1787B HORSE CREEK ABOVE BUSHY CREEK 2007 1.0 66

1807C MANATEE RIVER 2007 1.4 72

1877A MYAKKA RIVER (UPPER SEGMENT) 2006 1.2 43

1877A MYAKKA RIVER (UPPER SEGMENT) 2007 1.4 43

1877A MYAKKA RIVER (UPPER SEGMENT) 2008 1.5 43

1877A MYAKKA RIVER (UPPER SEGMENT) 2010 1.8 43

18A EAST FORK 2007 3.0 70

18A EAST FORK 2009 1.1 70

2097H ST MARYS RIVER 2007 2.3 55

2097K ST MARYS RIVER (NORTH PRONG) 2006 1.2 57

2097K ST MARYS RIVER (NORTH PRONG) 2007 1.2 57

2097K ST MARYS RIVER (NORTH PRONG) 2008 1.3 57

2386A BLACK CREEK (NORTH FORK) 2006 1.7 56

2386A BLACK CREEK (NORTH FORK) 2007 1.4 56

2386A BLACK CREEK (NORTH FORK) 2008 1.1 56

2386A BLACK CREEK (NORTH FORK) 2009 1.3 56

2386A BLACK CREEK (NORTH FORK) 2010 1.4 56

2415C BLACK CREEK (SOUTH FORK) 2008 1.2 91

24D BLACKWATER RIVER 2007 1.6 65

2535B MOSES CREEK (FRESHWATER SEGMENT) 2008 1.2 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2006 1.5 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2007 1.6 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2008 1.2 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2009 1.2 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2010 1.4 63

2740C OCKLAWAHA RIVER ABOVE LAKE

OCKLAWAHA 2011 1.2 63

2772D SILVER RIVER (LOWER) 2006 1.8 54

2772D SILVER RIVER (LOWER) 2007 1.1 54

2772D SILVER RIVER (LOWER) 2008 1.0 54

2772D SILVER RIVER (LOWER) 2009 1.1 5472 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

2929A BLACK WATER CREEK 2006 1.1 54

2929A BLACK WATER CREEK 2007 1.4 54

2929A BLACK WATER CREEK 2008 1.2 54

2929A BLACK WATER CREEK 2009 1.3 54

2929A BLACK WATER CREEK 2010 1.2 54

2987B LITTLE WEKIVA (WEST) 2008 5.8 46

2991A ECONLOCKHATCHEE RIVER 2007 1.6 50

2991A ECONLOCKHATCHEE RIVER 2009 1.0 50

2991A ECONLOCKHATCHEE RIVER 2010 1.1 50

30A YELLOW RIVER 2007 1.6 54

30A YELLOW RIVER 2008 1.2 54

3169A SHINGLE CREEK 2007 1.2 50

3169A SHINGLE CREEK 2008 1.1 50

3169A SHINGLE CREEK 2009 1.6 50

3170D2 BONNET CREEK SOUTH 2009 7.8 44

3224C CYPRESS CREEK 2011 2.3 44

3235E BEE BRANCH 2008 2.8 49

3235H HICKEY CREEK 2006 2.5 50

3235H HICKEY CREEK 2007 3.6 50

3235H HICKEY CREEK 2008 4.2 50

3235H HICKEY CREEK 2009 1.7 50

3235I BEDMAN CREEK 2006 1.7 49

3235I BEDMAN CREEK 2007 2.1 49

3235I BEDMAN CREEK 2008 1.6 49

3235I BEDMAN CREEK 2009 1.3 49

3235I BEDMAN CREEK 2010 1.1 49

3236A TELEGRAPH CREEK 2006 2.0 59

3236A TELEGRAPH CREEK 2007 2.0 59

3236A TELEGRAPH CREEK 2008 3.0 59

3236A TELEGRAPH CREEK 2009 2.9 59

3236A TELEGRAPH CREEK 2010 1.8 59

3240F DAUGHTREY CREEK 2006 2.0 55

3240F DAUGHTREY CREEK 2007 5.2 55

3240F DAUGHTREY CREEK 2008 4.1 55

3240F DAUGHTREY CREEK 2009 2.4 55

3240F DAUGHTREY CREEK 2010 2.4 55

3240F DAUGHTREY CREEK 2011 3.3 5573 WBID Basin Year Geometric
mean Chl

- a (μg/L) Mean SCI

2007

3240K ORANGE RIVER 2006 2.0 41

3341A SUWANNEE RIVER (UPPER SEGMENT) 2008 1.7 58

3341C SUWANNEE RIVER (UPPER SEGMENT) 2006 1.3 48

3422P MEARSON SPRING 2006 1.5 54

3504A OLUSTEE CREEK 2006 2.2 53

3504A OLUSTEE CREEK 2007 5.0 53

3504A OLUSTEE CREEK 2010 1.2 53

3598C ALLIGATOR CREEK 2006 1.1 41

49F CHOCTAWHATCHEE RIVER 2006 1.2 57

49F CHOCTAWHATCHEE RIVER 2007 1.6 57

49F CHOCTAWHATCHEE RIVER 2008 1.5 57

49F CHOCTAWHATCHEE RIVER 2009 1.6 57

49F CHOCTAWHATCHEE RIVER 2010 2.2 57

72D PERDIDO RIVER (MIDDLE A) 2008 1.1 56

791L LAKE MICCOSUKEE OUTLET 2010 2.6 52



### Table A

**- 4. List of benchmark streams used to**  **establish stream chlorophyll a**  **expectations.**

WBID Basin Year Geometric mean
Chl

- a (μg/L)

24 BLACKWATER RIVER 1998 5.0

24 BLACKWATER RIVER 2009 1.0

30 YELLOW RIVER 2000 1.2

30 YELLOW RIVER 2001 1.1

30 YELLOW RIVER 2002 1.0

30 YELLOW RIVER 2003 1.6

30 YELLOW RIVER 2004 1.9

30 YELLOW RIVER 2005 2.5

30 YELLOW RIVER 2006 2.1

30 YELLOW RIVER 2007 2.0

30 YELLOW RIVER 2008 1.3

30 YELLOW RIVER 2009 1.6

30 YELLOW RIVER 2010 1.3

30 YELLOW RIVER 2010 1.474 WBID Basin Year Geometric mean
Chl

- a (μg/L)

149 MCDAVID CREEK 2005 3.5

149 MCDAVID CREEK 2006 5.6

149 MCDAVID CREEK 2010 1.4

279 DRY CREEK 2005 1.2

279 DRY CREEK 2007 1.2

397 UNNAMED RUN 2005 2.2

504 CROOKED CREEK 2005 1.4

553 ECONFINA CREEK 2000 1.0

553 ECONFINA CREEK 2001 1.0

553 ECONFINA CREEK 2002 1.0

553 ECONFINA CREEK 2003 1.0

553 ECONFINA CREEK 2004 1.0

553 ECONFINA CREEK 2005 1.0

553 ECONFINA CREEK 2006 1.0

553 ECONFINA CREEK 2007 1.0

553 ECONFINA CREEK 2008 1.0

553 ECONFINA CREEK 2009 1.0

553 ECONFINA CREEK 2009 1.0

553 ECONFINA CREEK 2010 1.0

569 TENMILE CREEK 2002 1.1

569 TENMILE CREEK 2007 1.1

679 BLACK CREEK 2008 1.7

684 MULE CREEK 2005 1.2

684 MULE CREEK 2006 1.9

718 FOURMILE CREEK 2002 1.0

718 FOURMILE CREEK 2007 1.1

749 JUNIPER CREEK 2007 1.4

889 MOORE LAKE DRAIN 2008 1.6

889 MOORE LAKE DRAIN 2010 1.0

998 SOPCHOPPY RIVER 2004 1.0

998 SOPCHOPPY RIVER 2005 1.2

998 SOPCHOPPY RIVER 2006 2.1

1240 FORT GADSDEN CREEK 2007 2.7

1300 TELOGIA CREEK 1999 1.0

1300 TELOGIA CREEK 2000 1.6

1300 TELOGIA CREEK 2001 1.1

1300 TELOGIA CREEK 2002 1.0

1300 TELOGIA CREEK 2003 1.075 WBID Basin Year Geometric mean
Chl

- a (μg/L)

1300 TELOGIA CREEK 2004 1.1

1300 TELOGIA CREEK 2005 1.1

1300 TELOGIA CREEK 2006 2.1

1300 TELOGIA CREEK 2007 1.1

1300 TELOGIA CREEK 2008 1.6

1300 TELOGIA CREEK 2009 1.0

1300 TELOGIA CREEK 2010 1.0

1303 QUINCY CREEK (POTABLE PORTION) 2005 3.0

1303 QUINCY CREEK (POTABLE PORTION) 2006 2.5

1454 FISH HATCHERY DRAIN 2007 1.3

1658 FISHHAWK CREEK 2005 2.0

1658 FISHHAWK CREEK 2006 1.6

1658 FISHHAWK CREEK 2007 3.4

1658 FISHHAWK CREEK 2008 1.7

1658 FISHHAWK CREEK 2009 1.6

1658 FISHHAWK CREEK 2010 4.4

1666 BULLFROG CREEK 1998 2.9

1666 BULLFROG CREEK 1999 1.8

1666 BULLFROG CREEK 2000 2.3

1666 BULLFROG CREEK 2001 3.8

1666 BULLFROG CREEK 2002 2.2

1666 BULLFROG CREEK 2003 1.3

1666 BULLFROG CREEK 2004 1.6

1666 BULLFROG CREEK 2005 2.0

1666 BULLFROG CREEK 2006 2.0

1666 BULLFROG CREEK 2007 1.8

1666 BULLFROG CREEK 2008 1.7

1666 BULLFROG CREEK 2009 1.8

1666 BULLFROG CREEK 2010 2.7

1686 UNNAMED CREEK 2006 4.3

1897 OAK CREEK 2005 1.5

1978 DEER PRAIRIE CREEK 1998 2.8

1978 DEER PRAIRIE CREEK 1999 2.2

1978 DEER PRAIRIE CREEK 2000 2.0

1978 DEER PRAIRIE CREEK 2001 1.7

1978 DEER PRAIRIE CREEK 2002 4.9

1978 DEER PRAIRIE CREEK 2003 1.7

1978 DEER PRAIRIE CREEK 2004 2.276 WBID Basin Year Geometric mean
Chl

- a (μg/L)

1978 DEER PRAIRIE CREEK 2005 1.3

1978 DEER PRAIRIE CREEK 2006 1.4

1978 DEER PRAIRIE CREEK 2007 2.4

1978 DEER PRAIRIE CREEK 2008 2.3

1978 DEER PRAIRIE CREEK 2010 1.2

2105 PIGEON CREEK 2008 1.4

2161 THOMAS CREEK 2001 1.0

2161 THOMAS CREEK 2008 1.5

2196 DEEP CREEK 2008 1.4

2211 MIDDLE PRONG ST MARYS RIVER 1996 1.3

2211 MIDDLE PRONG ST MARYS RIVER 1997 1.3

2211 MIDDLE PRONG ST MARYS RIVER 1998 1.0

2211 MIDDLE PRONG ST MARYS RIVER 1999 1.4

2211 MIDDLE PRONG ST MARYS RIVER 2000 1.3

2211 MIDDLE PRONG ST MARYS RIVER 2001 1.3

2211 MIDDLE PRONG ST MARYS RIVER 2002 1.3

2211 MIDDLE PRONG ST MARYS RIVER 2003 1.1

2211 MIDDLE PRONG ST MARYS RIVER 2004 1.2

2211 MIDDLE PRONG ST MARYS RIVER 2005 1.0

2211 MIDDLE PRONG ST MARYS RIVER 2006 1.6

2211 MIDDLE PRONG ST MARYS RIVER 2007 1.3

2211 MIDDLE PRONG ST MARYS RIVER 2008 1.0

2211 MIDDLE PRONG ST MARYS RIVER 2009 1.0

2264 CALKINS CREEK 2008 2.6

2407 GROG BRANCH 2007 1.1

2444 PETERS CREEK 1996 2.8

2444 PETERS CREEK 1997 3.1

2444 PETERS CREEK 1998 2.6

2444 PETERS CREEK 1999 2.7

2444 PETERS CREEK 2000 2.4

2444 PETERS CREEK 2001 3.2

2444 PETERS CREEK 2002 2.7

2444 PETERS CREEK 2003 2.3

2444 PETERS CREEK 2004 2.2

2444 PETERS CREEK 2005 1.5

2444 PETERS CREEK 2006 2.4

2444 PETERS CREEK 2007 1.4

2444 PETERS CREEK 2008 1.477 WBID Basin Year Geometric mean
Chl

- a (μg/L)

2444 PETERS CREEK 2009 1.5

2444 PETERS CREEK 2010 1.7

2444 PETERS CREEK 2011 2.3

2478 GREENS CREEK 2004 1.0

2478 GREENS CREEK 2007 1.3

2493 MOULTRIE CREEK 1996 1.2

2493 MOULTRIE CREEK 1997 0.8

2493 MOULTRIE CREEK 1998 0.7

2493 MOULTRIE CREEK 1999 1.5

2493 MOULTRIE CREEK 2000 2.2

2493 MOULTRIE CREEK 2001 1.4

2493 MOULTRIE CREEK 2002 1.1

2493 MOULTRIE CREEK 2003 1.0

2493 MOULTRIE CREEK 2004 1.1

2493 MOULTRIE CREEK 2005 1.4

2493 MOULTRIE CREEK 2006 1.3

2493 MOULTRIE CREEK 2007 1.3

2493 MOULTRIE CREEK 2008 1.1

2493 MOULTRIE CREEK 2009 1.0

2493 MOULTRIE CREEK 2010 1.2

2498 ATES CREEK 2005 1.0

2500 UNNAMED BRANCH 2002 1.0

2713 LITTLE ORANGE CREEK 1997 1.0

2713 LITTLE ORANGE CREEK 1998 1.0

2713 LITTLE ORANGE CREEK 2000 1.0

2713 LITTLE ORANGE CREEK 2005 1.1

2713 LITTLE ORANGE CREEK 2006 1.5

2905 JUNIPER CREEK 2005 1.2

2905 JUNIPER CREEK 2008 0.7

2905 JUNIPER CREEK 2009 0.7

2905 JUNIPER CREEK 2010 0.9

3035 TOOTOOSAHATCHEE CREEK 2005 1.0

3035 TOOTOOSAHATCHEE CREEK 2008 1.9

3042 JIM CREEK 2008 1.4

3086 CRABGRASS CREEK (WEST BRANCH) 2003 3.3

3086 CRABGRASS CREEK (WEST BRANCH) 2008 1.0

3164 FORT DRUM CREEK 2008 17.2

3324 ALAPAHA RIVER 2000 1.078 WBID Basin Year Geometric mean
Chl

- a (μg/L)

3324 ALAPAHA RIVER 2001 1.0

3324 ALAPAHA RIVER 2002 1.1

3324 ALAPAHA RIVER 2003 1.2

3324 ALAPAHA RIVER 2004 1.2

3324 ALAPAHA RIVER 2005 1.3

3324 ALAPAHA RIVER 2006 1.2

3324 ALAPAHA RIVER 2007 1.6

3324 ALAPAHA RIVER 2008 1.6

3324 ALAPAHA RIVER 2009 1.1

3324 ALAPAHA RIVER 2010 1.3

3351 ROCKY CREEK NEAR BENTON 2006 1.1

3351 ROCKY CREEK NEAR BENTON 2007 2.3

3351 ROCKY CREEK NEAR BENTON 2010 1.0

3388 DEEP CREEK 1998 1.6

3388 DEEP CREEK 2006 1.5

3448 ROBINSON CREEK 2006 1.4

3480 BETHEL CREEK 2006 1.0

3605 SANTA FE RIVER 2010 1.0

10C ESCAMBIA RIVER 2000 1.0

10C ESCAMBIA RIVER 2001 1.1

10C ESCAMBIA RIVER 2002 1.1

10C ESCAMBIA RIVER 2003 1.6

10C ESCAMBIA RIVER 2004 1.3

10C ESCAMBIA RIVER 2005 2.2

10C ESCAMBIA RIVER 2006 1.8

10C ESCAMBIA RIVER 2007 2.2

10C ESCAMBIA RIVER 2008 1.9

10C ESCAMBIA RIVER 2009 1.8

10C ESCAMBIA RIVER 2010 2.0

1329D WITHLACOOCHEE RIVER 2000 2.1

1329D WITHLACOOCHEE RIVER 2001 2.1

1329D WITHLACOOCHEE RIVER 2002 4.0

1329D WITHLACOOCHEE RIVER 2003 2.5

1329D WITHLACOOCHEE RIVER 2004 3.9

1329D WITHLACOOCHEE RIVER 2005 5.2

1329D WITHLACOOCHEE RIVER 2006 4.7

1329D WITHLACOOCHEE RIVER 2007 6.5

1329D WITHLACOOCHEE RIVER 2008 7.579 WBID Basin Year Geometric mean
Chl

- a (μg/L)

1329D WITHLACOOCHEE RIVER 2009 11.5

1329E WITHLACOOCHEE RIVER 2000 4.2

1329E WITHLACOOCHEE RIVER 2001 3.0

1329E WITHLACOOCHEE RIVER 2002 3.7

1329E WITHLACOOCHEE RIVER 2003 2.1

1329E WITHLACOOCHEE RIVER 2004 4.0

1329E WITHLACOOCHEE RIVER 2005 2.3

1329E WITHLACOOCHEE RIVER 2006 4.3

1329E WITHLACOOCHEE RIVER 2007 9.0

1329E WITHLACOOCHEE RIVER 2008 7.7

1329E WITHLACOOCHEE RIVER 2009 7.3

1351A OUTLET RIVER 2001 3.1

1351A OUTLET RIVER 2002 5.5

1351A OUTLET RIVER 2003 15.6

1351A OUTLET RIVER 2004 7.1

1443D HILLSBOROUGH RIVER 2005 1.2

1443D HILLSBOROUGH RIVER 2006 1.0

1443D HILLSBOROUGH RIVER 2007 1.4

1443D HILLSBOROUGH RIVER 2008 2.2

1443D HILLSBOROUGH RIVER 2009 1.2

1495A ITCHEPACKESASSA CREEK 2007 1.9

1495A ITCHEPACKESASSA CREEK 2008 9.8

160B SHOAL RIVER 2005 2.5

160B SHOAL RIVER 2006 5.0

160B SHOAL RIVER 2007 2.9

160B SHOAL RIVER 2009 1.6

1621B ALAFIA RIVER ABOVE FLINT HAWK 2000 1.0

1621B ALAFIA RIVER ABOVE FLINT HAWK 2001 1.2

1621B ALAFIA RIVER ABOVE FLINT HAWK 2002 1.2

1621B ALAFIA RIVER ABOVE FLINT HAWK 2003 1.2

1621B ALAFIA RIVER ABOVE FLINT HAWK 2004 1.0

1621B ALAFIA RIVER ABOVE FLINT HAWK 2005 2.6

1621B ALAFIA RIVER ABOVE FLINT HAWK 2006 2.1

1621B ALAFIA RIVER ABOVE FLINT HAWK 2007 2.0

1621B ALAFIA RIVER ABOVE FLINT HAWK 2008 1.7

1621B ALAFIA RIVER ABOVE FLINT HAWK 2009 3.2

1621B ALAFIA RIVER ABOVE FLINT HAWK 2010 3.5

1742B LITTLE MANATEE RIVER (NORTH 2005 1.880 WBID Basin Year Geometric mean
Chl

- a (μg/L) FORK)

1742B LITTLE MANATEE RIVER (NORTH FORK) 2006 1.5

1742B LITTLE MANATEE RIVER (NORTH FORK) 2007 1.2

1742B LITTLE MANATEE RIVER (NORTH FORK) 2008 1.8

1742B LITTLE MANATEE RIVER (NORTH FORK) 2009 1.4

1807C MANATEE RIVER 2007 1.4

1869C MYAKKA RIVER (UPPER SEGMENT) 1999 2.4

1877A MYAKKA RIVER (UPPER SEGMENT) 1998 3.2

1877A MYAKKA RIVER (UPPER SEGMENT) 1999 1.6

1877A MYAKKA RIVER (UPPER SEGMENT) 2000 1.2

1877A MYAKKA RIVER (UPPER SEGMENT) 2001 1.0

1877A MYAKKA RIVER (UPPER SEGMENT) 2002 1.8

1877A MYAKKA RIVER (UPPER SEGMENT) 2003 1.3

1877A MYAKKA RIVER (UPPER SEGMENT) 2004 1.2

1877A MYAKKA RIVER (UPPER SEGMENT) 2005 1.4

1877A MYAKKA RIVER (UPPER SEGMENT) 2006 1.2

1877A MYAKKA RIVER (UPPER SEGMENT) 2007 1.4

1877A MYAKKA RIVER (UPPER SEGMENT) 2008 1.5

1877A MYAKKA RIVER (UPPER SEGMENT) 2010 1.8

18A EAST FORK 2005 5.0

18A EAST FORK 2006 5.0

18A EAST FORK 2007 3.0

18A EAST FORK 2009 1.1

2097K ST MARYS RIVER (NORTH PRONG) 1996 1.2

2097K ST MARYS RIVER (NORTH PRONG) 1997 1.9

2097K ST MARYS RIVER (NORTH PRONG) 1998 1.1

2097K ST MARYS RIVER (NORTH PRONG) 1999 3.2

2097K ST MARYS RIVER (NORTH PRONG) 2000 1.3

2097K ST MARYS RIVER (NORTH PRONG) 2001 1.1

2097K ST MARYS RIVER (NORTH PRONG) 2002 1.6

2097K ST MARYS RIVER (NORTH PRONG) 2003 1.0

2097K ST MARYS RIVER (NORTH PRONG) 2004 1.5

2097K ST MARYS RIVER (NORTH PRONG) 2005 1.0

2097K ST MARYS RIVER (NORTH PRONG) 2006 1.2

2097K ST MARYS RIVER (NORTH PRONG) 2007 1.281 WBID Basin Year Geometric mean
Chl

- a (μg/L)

2097K ST MARYS RIVER (NORTH PRONG) 2008 1.3

2097K ST MARYS RIVER (NORTH PRONG) 2009 1.0

2120B MILLS CREEK 2008 1.8

2415E BLACK CREEK (SOUTH FORK) 2005 1.0

24C BLACKWATER RIVER 2000 1.0

24C BLACKWATER RIVER 2001 1.1

24C BLACKWATER RIVER 2002 1.1

24C BLACKWATER RIVER 2003 1.0

24C BLACKWATER RIVER 2004 1.1

24C BLACKWATER RIVER 2005 1.1

24C BLACKWATER RIVER 2006 1.0

24C BLACKWATER RIVER 2007 1.1

24C BLACKWATER RIVER 2008 1.1

24C BLACKWATER RIVER 2009 1.1

24C BLACKWATER RIVER 2010 1.1

2551A LAKE TRIPLET DRAIN 2005 1.2

2929A BLACK WATER CREEK 1996 1.3

2929A BLACK WATER CREEK 1997 1.1

2929A BLACK WATER CREEK 1998 0.2

2929A BLACK WATER CREEK 1999 1.1

2929A BLACK WATER CREEK 2000 1.0

2929A BLACK WATER CREEK 2001 1.2

2929A BLACK WATER CREEK 2002 1.0

2929A BLACK WATER CREEK 2003 1.0

2929A BLACK WATER CREEK 2004 1.9

2929A BLACK WATER CREEK 2005 1.3

2929A BLACK WATER CREEK 2006 1.1

2929A BLACK WATER CREEK 2007 1.4

2929A BLACK WATER CREEK 2008 1.2

2929A BLACK WATER CREEK 2009 1.3

2929A BLACK WATER CREEK 2010 1.2

2929A BLACK WATER CREEK 2011 1.0

30B YELLOW RIVER 2003 1.0

3235E BEE BRANCH 2005 1.3

3235E BEE BRANCH 2008 2.8

3235G CYPRESS BRANCH 2005 3.2

3236A TELEGRAPH CREEK 1999 1.2

3236A TELEGRAPH CREEK 2000 3.382 WBID Basin Year Geometric mean
Chl

- a (μg/L)

3236A TELEGRAPH CREEK 2001 1.4

3236A TELEGRAPH CREEK 2002 1.4

3236A TELEGRAPH CREEK 2003 1.6

3236A TELEGRAPH CREEK 2004 1.9

3236A TELEGRAPH CREEK 2005 2.3

3236A TELEGRAPH CREEK 2006 2.0

3236A TELEGRAPH CREEK 2007 2.0

3236A TELEGRAPH CREEK 2008 3.0

3236A TELEGRAPH CREEK 2009 2.9

3236A TELEGRAPH CREEK 2010 1.8

3236A TELEGRAPH CREEK 2011 2.1

3310Z NUTALL RISE SPRING 2006 1.7

3310Z NUTALL RISE SPRING 2007 1.0

3506B NEW RIVER 2010 2.0

3506B NEW RIVER 2011 1.5

3573A STEINHATCHEE RIVER 2002 1.0

3573A STEINHATCHEE RIVER 2006 1.6

3573A STEINHATCHEE RIVER 2011 1.0

3605D SANTA FE RIVER 2001 1.6

375G APALACHICOLA RIVER 2001 1.2

375G APALACHICOLA RIVER 2005 3.7

375G APALACHICOLA RIVER 2007 1.4

793Z HORN SPRING 2006 1.6

793Z HORN SPRING 2007 1.0