# Presentation: 283361

## Invasive SpeciesScience Team Meeting

- John L. Schnase
*NASA Goddard Space Flight Center*
*Greenbelt, Maryland*
- Thomas J. Stohlgren
*USGS National Institute of Invasive Species Science*
*Fort Collins, Colorado*
- 9 July 2003

## Agenda

- _Wednesday, 9 July ‘03_
- NASA Status Report	*(ESTO/CT Milestones, F,O1, C & G; Carbon Years 2 & 3)*
- USGS Status Report	*(ESTO/CT Milestones, F,O1, C & G; Carbon Years 2 & 3)*
- NASA HQ Report	*(Program Plans, NASA/USDA, ...)*
*-----*
- “Big Problem”		*(Priorities, issues, strategies, ... )*
- MSU Collaboration	*(Opportunities, overlaps, ...)*
- REASoN CAN		*(Initial project overview, HQ guidance ...)*
- _Thursday, 10 July ‘03_
- “Big Problem”		*(Discussion, next steps, task assignments)*
- MSU Collaboration	*(Discussion, next steps, task assignments)*
- REASoN CAN		*(Discussion, next steps, task assignments)*

## NASA Status Report

- John Schnase
*NASA Goddard Space Flight Center*

## Invasive SpeciesA Top Environmental Issue of the 21st Century ...

- Economic Costs:
*$137+ Billion / Yr*
*	**(Pimentel, et al. 1999; NISRC Management Plan, 2001)*
- Environmental Costs:
*Decreased biodiversity, ecological services, etc.*
- Human-Health Costs:
*West Nile Virus, Malaria, etc.*
- Agricultural Costs:
*Crop pathogens, hoof-and-mouth, mad cow disease*

- Notorious examples include:
*Dutch elm disease, chestnut blight, and purple loosestrife in the northeast; kudzu, Brazilian peppertree, water hyacinth, nutria, and fire ants in the southeast; zebra mussels, leafy spurge, and Asian long-horn beetles in the Midwest; salt cedar, Russian olive, and Africanized bees in the southwest; yellow star thistle, European wild oats, oak wilt disease, Asian clams, and white pine blister rust in California; cheatgrass, various knapweeds and thistles in the Great Basin; whirling disease of salmonids in the northwest; hundreds of invasive species from microbes to mammals in Hawaii; and the brown tree snake in Guam.*
*As many as 50,000 now,**hundreds new each year ...*

## Federal Government Response

- National Invasive Species Council (EO 13122 - 1999)
*Co-Chaired by Departments of Agriculture, Commerce, and Interior*
- _USGS_ has a lead role in dealing with invasive species _science_ in natural and semi-natural areas
*Responsible for measurement, management, and control on all Department of Interior and adjacent lands ...*

## USGS National Institute of Invasive Species Science

- USGS Biological Resources Division (BRD) laboratory
- Located at USGS’s Ft. Collins Science Center
- New facilities opened Aug ‘02
- Director, Tom Stohlgren
- Many current / future partners ...

**“****Needed: A National Center For Biological Invasions”**
**	****Don Schmitz and Dan Simberloff**
***	******Issues in Science and Technology*****, Summer 2001**

**“****Grand Challenge: Biodiversity and Ecosystem ****	****	****Functioning” with special emphasis on invasive species ...**
**	*****NRC Committee on Grand Challenges in******	******Environmental Sciences*****, 2001**

## USGS Science / Client Needs

- On-demand, predictive landscape- and regional-scale models and maps for biological invasions
*Pick any point, land management unit, county, state, or region and determine the current invasion, and vulnerability to future invasion by species.*
*Pick any species or group of species, and get current distributions, potential distributions, potential rates of change, and levels of uncertainty.*
- Data integration and sharing
*Comprehensive information on control efforts and cost. Share early detection data, control strategies, local expertise. Help public and private land managers*.

## National Invasive Species Forecasting System (ISFS) *

- NASA / USGS Partnership
- Chip Groat, Kathie Olsen early promoters
- Goal: Develop an operational DSS   capability for USGS & DOI
- Research & topic adopted by YO ...
*Carbon Cycle Science Applications Program*
*	**Predicting Regional-Scale Exotic Plant Invasions in Grand Staircase-Escalante National Monument **(NASA YS/YO NRA - Schnase, Smith, & Stohlgren)*
*ESTO/Computational Technologies Program*
- 	*Biotic Prediction: Building the Computational Technology Infrastructure for Public Health and Environmental Forecasting **(NASA YS CAN - Schnase, Smith, & Stohlgren)*
*** Ref. EOM Article / NRC Report / *****http://ct.gsfc.nasa.gov/milestones.schnase.html***

## C Objectives

- Adapt a suite of multi-phase, multi-scale early detection and monitoring protocols to use new types of EOS and commercial data
- Extend a suite of predictive models to enable their use in regional-scale assessments of invasive species patterns and vulnerable habitats
- Integrate science and technology results into a community-developed, high-resolution, regional-scale application system for invasive species management in Utah’s Grand Staircase-Escalante National Monument
- Make the resulting application system broadly available through the USGS National Biological Information Infrastructure program
- Evaluate its potential as an operational system for managing all Department of Interior lands.

## CT Objectives

- Create a high-performance, parallel implementation of the *PlantDiversity* modeling code for invasive species
- Document the use of software engineering techniques that foster reproducibility and community-wide software process improvements in this domain
- Engage an extended community of scientists through the National Biological Information Infrastructure program
- Empower the ecological, environmental, and public health communities by expanding their participation in high-performance computing and broadening their use of NASA ESE data

## Modeling Approach

**Hot spots of native**
**biodiversity**
**Distribution of**
**non-native species**
**Potential spread of**
**invasive species.**
**Barriers to rapid invasions.**
** **
**Corridors that may accelerate invasions.**
**Economic and environmental risk assessments, vulnerability of habitats to invasion.**
**Priorities for control and containment.**

_**Output**_
- GIS - Spatial
- Statistical Dynamic
- Models and Maps

- Final Trend
- Surface Map
- Large - Small
- Scale Variability

- Model Residuals
- Using Co-Kriging

- Model Residuals
- Using * ***Kriging ****
- (Universal,
- Ordinary, other)

- Regression
- Trees
- Classifications

- Testing if Residuals
- Cross-Correlated with
- Other Variables

- Testing if There Is
- Spatial Auto-Correlation
- In the Residuals

- Trend Surface Analysis
- With Stepwise Multiple
- Regression Using
- OLS, GLS, SAR, or * ***Exhaustive Regression ****

- Yes

- No

- No

_**Input Variables**_** (150+)**
**Remotely Sensed data:**
**(ETM, SPOT, MTI, EO1, etc.)**
**Derived Remote Sensing**
**(Vegetation Indices, PCA**
**Tasseled Cap, other)**
**Biotic/Abiotic Data:**
**Topographic Data**
**Species Data**
**Vegetation- Forest Data**
**Soils Characteristics**
**Cryptobiotic Crusts**
**Wildfire Severity**
**Biodiversity**
**Air Pollution**
**Geology, Other**
**Environmental Data**

- Yes

- Yes

**Modeling Approach**

**Notes:**
USGS is using geostatistical techniques to produce predictive maps of hotspots for potential invasion.

The process ingests a wide range of ecological attributes, field sample data and satellite data. Linear regression and trend surface analyses with kriging are performed to produce DSS products that account for high-resolution spatial distributions in the environments being modeled.

NASA is helping USGS deal with the computational bottlenecks in this process. (shown in red). NASA is also helping move the USGS modeling process into an easy-to-use, Web-based framework so that the techniques are more accessible to the broader community. (shown in yellow) 

We refer to the integrated system as the Invasive Species Forecasting System.

## CT/C Milestones (YR 1)

- Software Engineering Plan Completed (4/15/02) (5/13/02)Deliver Software Engineering / Development Plan, Configuration Management Plan, Quality Assurance Plan, & Risk Management Plan
- Code Baseline Completed (7/15/02) (1/6/03)
- 	Document performance characteristics and time/space complexity of existing *PlantDiversity *code and modeling process for three canonical examples: Cerro Grande Fire Site (CGFS), Rocky Mountain National Park (RMNP), and Grand Staircase-Escalante National Monument (GSENM). Determine appropriate multipliers, *m *and *n*, to be used in Milestones F and G respectively. Deliver initial version of Requirements, Software Design, and Concept of Operations Documents. Documented source code made publicly available via the Web. (7/15/02) (1/6/03)
- First Annual Report (8/15/02) (1/6/03)

## CT/C Milestones (YR 2)

- F.	First Code Improvement Completed (7/15/03) => (8/15/03)Improve implementation of *PlantDiversity *to deliver canonical products from Milestone E *m*X faster than the baseline implementation. Provide code scaling curves. Provide preliminary evaluation of EOS data extensions. Deliver updates to Requirements and Design Documents. Deliver initial version of Test Plan / Procedures Document. Documented source code made publicly available via the Web.
- O1.	Install Linux Cluster (7/15/03) => (9/15/03)
- 	Install Linux clusters at USGS/CSU and NASA/GSFC. System configurations will be based on recommendations from CT at the time of purchase.
- C.	Second Annual Report (8/15/03) => (9/15/03)

## CT/C Milestones (YR 3)

- Second Code Improvement Completed (7/15/04)Improve implementation of *PlantDiversity *to accommodate 10X more input data over Milestones E and F at *n*X the time required in the baseline implementation.  (Depending on the science problem, this enhanced capability may be used to increase spatial resolution, temporal resolution, or coverage.) Provide code scaling curves.  Deliver updates to Requirements, Design, and Test Documents. Deliver initial User's Guide. Documented source code made publicly available via the Web.
- Third Annual Report (8/15/04)
- Customer Delivery Accomplished (12/15/04)
- 	Achieve sustained, evaluative use of *PlantDiversity *by NIIS, GSENM, and 8 additional customers. Deliver updated Test Plan / Procedures Document and User's Guide. Deliver updated Requirements and Design Documents. Deliver Maintenance Manual for as-built system.   Documented source code made publicly available via the Web.
- D.	Final Report Delivered (3/15/05)

## Interdisciplinary Team

- USGS NIISS
- Tom Stohlgren	NIISS Director
- USGS HQ
- Gladys Cotter	BRD Assoc. Chief Biologist
- Bill Gregg	IS Program Manager
- Chip Groat	USGS Director
- CSU & NREL
- Robin Reich
- Mohammed Kahlkan
- SSAI
- Rob Baker
- Dave Kendig
- Nick Pell
- Rob Simmon
- David Obler

## Interdisciplinary Team

- NASA GSFC
- Jim Smith		Code 920
- Jeff Pedelty		Code 923
- Jeff Morisette		Code 920
- Curt Tilmes		Code 922
- John Dorband		Code 935
- Jacqueline LeMoigne	Code 935
- Jim Fischer		Code 931
- John Schnase		Code 930
- NASA HQ
- Ron Birk		Code YO
- Ed Sheffner		Code YO
- Alex Tuyahov		Code YO
- Woody Turner		Code YS
- Diane Wickland		Cody YS

## Parallel Kriging

- Jeff Pedelty
*NASA Goddard Space Flight Center*

## MODIS NDVI Time-Series

- Jeff Morisette
*NASA Goddard Space Flight Center*

## Public InterfaceCurrent Deliverables

- Rob Baker and David Kendig
*SSAI*
- John Schnase
*NASA Goddard Space Flight Center*

## Public InterfaceMilestones F, O1, C Delivery Schedule

- By 8/15/03:
- New website
- SWE documentation
- Ability to run canonical examples from website using user-set parameters
- By 9/15/03:
- 16-node (?) cluster bundled with Milestone F software and delivered to USGS / NREL ...

**Notes:**
The Invasive Species Forecasting System is being made available to the extended community through the National Biological Information Infrastructure program and “InvasiveSpecies.gov” .

## USGS Status Report

- Tom Stohlgren
*USGS National Institute of Invasive Species Science*

## NASA HQApplications Update

- Ed Sheffner
*NASA Office of Earth Science, Code YO*

## Lunch

## “Big Problem”

- The ISFS Team ...

## “Big Problem”Challenge

- Could go something like this:
- Produce a comprehensive, continental-scale assessment of habitats vulnerable to invasive by Cheat Grass over the next five years ...
- Or
- Produce a wall-to-wall distribution map for Salt Cedar in the United States ...
- Or
- Document the - 30 to + 5 year continental-scale invasion trend for _____ ...

## “Big Problem”Rationale

- Part of our strategy for operational scaling
- Cerro Grande => RMNP => GSENM => ???
- Milestone F requirements
- Public demand
- IS hot topic!
- Our project needs to respond AND shape expectations
- Good politics
- We’re ahead of the curve, but it’s a large and fast moving wave
- For invasive species, it’s “location, location, location” AND “timing, timing, timing”
- Good science
- Need to continue to ground our national goals in real understanding
- Short-term need for brute-force, enumerative approaches
- Relative merits of an autecological approach

## “Big Problem”Questions: Round 1 Brainstorming

- What are the priority DOI / USGS invasives?
- How do we scope a national goal?
- What are the appropriate modeling techniques?
- What field data are available to support the effort?
- What remote sensing data are needed?
- What are the computational issues?
- What the steps toward iterative improvements in fidelity?
- Are the necessary partnerships in place for this?
- Are the politics in place? Who else do we involve within USGS?
- How do we implement this? Next year’s steps? Out years?
- How do we get the word out? Publication, PR strategy?

## Mississippi State University

- Jon Arvik, Lori Bruce, John Madsen
*GeoSpatial Sciences Institute*

## REASoN CANThe Invasive Species Data Service:Toward Operational Use of NASA ESE Data in the USGS Invasive Species Decision Support System

- John Schnase
*NASA Goddard Space Flight Center*

## Rationale

- A central challenge to meeting the invasive species threat is the problem of searching and aggregating data across heterogeneous and often domain-specific repositories.
- The essential task of bringing together the georegistered satellite data and biological data required for invasive species work is a fundamental bottleneck to developing new applications and pursuing new science questions in this area.

## Modeling Approach

**Hot spots of native**
**biodiversity**
**Distribution of**
**non-native species**
**Potential spread of**
**invasive species.**
**Barriers to rapid invasions.**
** **
**Corridors that may accelerate invasions.**
**Economic and environmental risk assessments, vulnerability of habitats to invasion.**
**Priorities for control and containment.**

_**Output**_
- GIS - Spatial
- Statistical Dynamic
- Models and Maps

- Final Trend
- Surface Map
- Large - Small
- Scale Variability

- Model Residuals
- Using Co-Kriging

- Model Residuals
- Using * ***Kriging ****
- (Universal,
- Ordinary, other)

- Regression
- Trees
- Classifications

- Testing if Residuals
- Cross-Correlated with
- Other Variables

- Testing if There Is
- Spatial Auto-Correlation
- In the Residuals

- Trend Surface Analysis
- With Stepwise Multiple
- Regression Using
- OLS, GLS, SAR, or * ***Exhaustive Regression ****

- Yes

- No

- No

_**Input Variables**_** (150+)**
**Remotely Sensed data:**
**(ETM, SPOT, MTI, EO1, etc.)**
**Derived Remote Sensing**
**(Vegetation Indices, PCA**
**Tasseled Cap, other)**
**Biotic/Abiotic Data:**
**Topographic Data**
**Species Data**
**Vegetation- Forest Data**
**Soils Characteristics**
**Cryptobiotic Crusts**
**Wildfire Severity**
**Biodiversity**
**Air Pollution**
**Geology, Other**
**Environmental Data**

- Yes

- Yes

**Modeling Approach**

**Notes:**
USGS is using geostatistical techniques to produce predictive maps of hotspots for potential invasion.

The process ingests a wide range of ecological attributes, field sample data and satellite data. Linear regression and trend surface analyses with kriging are performed to produce DSS products that account for high-resolution spatial distributions in the environments being modeled.

NASA is helping USGS deal with the computational bottlenecks in this process. (shown in red). NASA is also helping move the USGS modeling process into an easy-to-use, Web-based framework so that the techniques are more accessible to the broader community. (shown in yellow) 

We refer to the integrated system as the Invasive Species Forecasting System.

## Data Ingest

## Project Overview

- We propose to build an Invasive Species Data Service (ISDS) to provide customized, easily accessible data products and tools to support invasive species management and policy decision-making.
- The ISDS will be a networked service that integrates a suite of NASA ESE data providers with the data resources of the National Biological Information Infrastructure (NBII).
- Aggregated ISDS data will feed directly into the National Invasive Species Forecasting System, which is a core component of an invasive species decision support capability being developed jointly by the USGS and NASA.
- In building the ISDS, we will refine the notion of Web-based service interoperability using SEEDS principles to specialize EOS Clearing House (ECHO) technologies.

## Project Overview

- The result will be a tailored interface that combines biological and earth science data to meet the specific needs of a large and expanding community of ecologists and natural resource managers who deal with invasive species.
- A broadly representative users group will help shape development of the ISDS and align its activities with current and future needs.
- The work will contribute to NASA's plans for future ESE data systems by engaging a new client community that has a focused, thematic, and interdisciplinary data integration problem of national importance.
- The ISDS will be made available through NBII and the USGS National Institute of Invasive Species Science.
- This work will lead to a fully operational capability of national scope vital to understanding and managing the effects of invasive species on human health, the economy, native biodiversity, and ecosystem processes.

## ISDS Objectives

- Create a capability to combine ESE data products from selected satellite missions with selected biological field, experimental, and collections data of the National Biological Information Infrastructure to produce thematic, interdisciplinary data products for invasive species management and policy decision-making
- Use SEEDS guiding principles to create an extensible technology framework for interdisciplinary data subsetting and aggregation which will result in easily-accessible, merged products tailored to the needs of future invasive species decision support systems
- Contribute to the SEEDS formulation effort by engaging a new community of users with an urgent, focused, national-scale data integration need

## ISDS Objectives

- Integrate these new capabilities into a coherent and comprehensive solution of national scope: the Invasive Species Data Service; Integrate the Invasive Species Data Service into the emerging National Invasive Species Forecasting System
- Expand and consolidate a broad coalition of users from across the invasive species research, education, and applications communities
- Make the resulting capability broadly available on a sustainable basis through the USGS National Institute of Invasive Species Science

## Modeling Workflow“Application Layer”

**Hot spots of native**
**biodiversity**
**Distribution of**
**non-native species**
**Potential spread of**
**invasive species.**
**Barriers to rapid invasions.**
** **
**Corridors that may accelerate invasions.**
**Economic and environmental risk assessments, vulnerability of habitats to invasion.**
**Priorities for control and containment.**

_**Output**_
- GIS - Spatial
- Statistical Dynamic
- Models and Maps

- Final Trend
- Surface Map
- Large - Small
- Scale Variability

- Model Residuals
- Using Co-Kriging

- Model Residuals
- Using * ***Kriging ****
- (Universal,
- Ordinary, other)

- Regression
- Trees
- Classifications

- Testing if Residuals
- Cross-Correlated with
- Other Variables

- Testing if There Is
- Spatial Auto-Correlation
- In the Residuals

- Trend Surface Analysis
- With Stepwise Multiple
- Regression Using
- OLS, GLS, SAR, or * ***Exhaustive Regression ****

- Yes

- No

- No

_**Input Variables**_** (150+)**
**Remotely Sensed data:**
**(ETM, SPOT, MTI, EO1, etc.)**
**Derived Remote Sensing**
**(Vegetation Indices, PCA**
**Tasseled Cap, other)**
**Biotic/Abiotic Data:**
**Topographic Data**
**Species Data**
**Vegetation- Forest Data**
**Soils Characteristics**
**Cryptobiotic Crusts**
**Wildfire Severity**
**Biodiversity**
**Air Pollution**
**Geology, Other**
**Environmental Data**

- Yes

- Yes

**Modeling Workflow**“Application Layer”

**DSS****Products**

**Modeling**

**Ingest**

**Notes:**
USGS is using geostatistical techniques to produce predictive maps of hotspots for potential invasion.

The process ingests a wide range of ecological attributes, field sample data and satellite data. Linear regression and trend surface analyses with kriging are performed to produce DSS products that account for high-resolution spatial distributions in the environments being modeled.

NASA is helping USGS deal with the computational bottlenecks in this process. (shown in red). NASA is also helping move the USGS modeling process into an easy-to-use, Web-based framework so that the techniques are more accessible to the broader community. (shown in yellow) 

We refer to the integrated system as the Invasive Species Forecasting System.

## ISFS Architecture

## ISFS Architecture

**Carbon**

**???**

**CT**

**REASoN**

**ISDS**

## ECHO

- ECHO (The Earth Observing System (EOS) Clearing HOuse) implements a notion of service interoperability that appears to be well suited to the Invasive Species Data Service (Pfister *et al.*, 2002).
- ECHO specifications define a way to publish and discover information about Web services.
- The term “Web service” describes specific business functionality exposed by an organization, usually through an Internet connection, for the purpose of providing a way for other organizations or software programs to use the service.
- ECHO is being developed to provide flexibility to NASA’s EOS Data and Information System to better meet the needs of the science community. This flexibility includes providing (Application Program Interfaces) APIs for alternate user interfaces to support special needs in data access, providing APIs for brokering data services so specialized data services can be shared across the user community, and providing APIs for easy participation by a broad data provider community.
- Another major goal of ECHO is to support new data access paradigms that are not supported by today’s EOSDIS architecture.

## ECHOArchitecture

- The core component of ECHO is its clearinghouse into which providers can place a copy of their metadata and clients can perform geospatial, temporal and keyword based searches of those data using an open set of XML-based APIs.
- Data providers can register with ECHO and provide copies of their metadata through an XML file used to describe a business entity and its Web services.
- Programs and programmers use the ECHO registry to locate information about services and, in the case of programmers, to prepare systems that are compatible with advertised Web services or to describe their own Web services for others to call.
- XML provides a cross-platform approach to data encoding and formatting. SOAP, which is built on XML, defines a simple way to package information for exchange across system boundaries. SOAP bindings for HTTP are built on this packaging protocol and define a way to make remote procedure calls between systems in a manner that is independent of the programming language or operating system choices made by individual organizations.
- This cross-language, cross-platform approach simplifies the problem of making systems at two organizations compatible with each other.

## ECHOPartners

- ECHO Data Partners participate with ECHO to provide Earth science data in the form of their metadata holdings.
- These metadata are cached within the clearinghouse and available for search and retrieval as well as navigation and discovery.
- Data Partners also provide a mechanism to allow a client (user or machine interface) to access data holdings. Partners have complete control over what metadata is represented in ECHO on their behalf. They can insert new metadata, modify existing metadata and remove old metadata .
- Current ECHO Data Partners include the Goddard Earth Science (GES) and EROS Data Center (EDC) Distributed Active Archive Centers (DAACs). The GES DAAC, with its long time-series vegetation and thermal infrared brightness temperature data sets and MODIS data support will be particularly important as will the Landsat and land processes collections of the EDC DAAC.

## NBII

- The biological holdings of the National Biological Information Infrastructure are currently not a part of the ECHO framework, but will be integrated through this project.
- NBII is a broad, collaborative program to provide increased access to data and information on the Nation's biological resources in much the same way that the ESIP Federation works to broaden access to Earth science data.
- The NBII links diverse, high-quality, non-proprietary biological databases, information products, and analytical tools maintained by NBII partners and other contributors in government agencies, academic institutions, non-government organizations, and private industry.
- NBII partners and collaborators also work on new standards, tools, and technologies that make it easier to find, integrate, and apply biological resources information. Resource managers, scientists, educators, and the general public use the NBII to answer a wide range of questions related to the management, use, or conservation of this Nation's biological resources.
- Additional information about NBII and its many partners can be found at the NBII website at *www.nbii.gov*.

## Implementation Plan

_*(Task 1)  Software Engineering Plan*_ — We will employ software engineering best practices throughout the project. We will produce and work to a comprehensive Software Engineering / Development Plan, Configuration Management Plan, Quality Assurance Plan, Requirements Document, and Test Plan and Procedures Document. All source code will documented and made publicly available on the project’s website.
_*(Task 2)  Build “ECHO Lite” at USGS*_ — The Invasive Species Data Service will be based on ECHO technologies and encapsulate a subset of its capabilities for tailored use by the invasive species community. The first step is to host the ECHO clearinghouse framework at the USGS National Institute for Invasive Species Science. We refer to this version as “ECHO Lite.”

## Implementation Plan

_*(Task 3)  Make NBII an ISDS Data Partner*__ _— An ECHO (or ECHO Lite / ISDS) data partner is an entity that participates with ECHO to provide data in the form of its metadata holdings. These metadata are then available for search and retrieval as well as navigation and discovery along with the aggregated metadata from other ECHO data partners. We will build mappings between appropriate elements of the ECHO data model and the data models used by NBII. We will develop translation routines that allow NBII’s XML metadata to be formatted according to ECHO’s DTDs for both collections and lower-level data “granules” where possible. We will also create an automated mechanism for updating the clearing house as new information arrives at NBII.

## Implementation Plan

_*(Task 4)  Build an ISFS System Client*_ — An ECHO client is an entity that has a user or machine-to-machine interface that communicates with ECHO via its APIs in order to perform operations on ECHO holdings. As shown in Figure 6, we will develop a client that allows the Invasive Species Forecasting System to draw on the ECHO Lite services of the Invasive Species Data Service. We will use various ECHO tools, APIs, and DTDs to develop the client.

## Implementation Plan

_*(Task 5)  Build an ISDS Public Client*_ — We also want to develop a mechanism whereby users can conveniently register their personal or project data sets with the ISDS and access the services of the ISDS directly without having to use the Invasive Species Forecasting System. To do this, we will build a general mechanism for data partnering based on that used for institutional partners.
_*(Task 6)  Deploy into Operational Use*_ — In concert with the development components of the project, we will be producing documentation and providing the training necessary to create the expertise needed within the USGS to deploy these capabilities operationally and maintain the service into the future. We will design and implement a comprehensive transition protocol to guide the hand-off.

## SEEDS

- NASA’s Strategy for the Evolution of Earth Data Systems (SEEDS) starts from the premise that systems and services must be informed by, and supportive of, key science concerns and questions.
- It also recognizes that individual scientists and disciplinary communities of scientists are key consumers and producers of data products and therefore must be key partners.
- To insure community engagement, we will use SEEDS principles to guide an iterative approach in which various stakeholders will be deeply involved in the effort.
- Ecologists and land managers who already have established collaborations with the National Institute of Invasive Species Science will be part of the development team.

## SEEDS

- The main objective is to foster community-wide participation in the development and use of these new services, and specify as clearly as possible the types and levels of services needed to make it useful, strategies for technological infusion.
- Wherever possible, we will attempt to exploit the “first-mover rule”, which advocates faster development of high-priority features that will encourage the commitment and continued engagement of the end-user community.
- At all stages, we will actively seek community feedback on the usage experience of the service and the information products produced by the ISDS. We will then develop refinements based on this feedback and fold these experiences back into the SEEDS formulation process.

## Preliminary Time Line

## Budget

- Ref. Proposal Cost Plan (p. 22) and Cooperative Agreement Payment Schedule (p. 29) for details ...
- Staffing
- 0.25 FTE Senior Analyst / Technical Manager
- 0.25 FTE Professional clerical
- 2.00 FTE Programmer / Analysts
- Travel, Administrative Fees, USGS Subcontract for managing community / advisory group meetings.

## Discussion

## Invasive SpeciesScience Team Meeting

- John L. Schnase
*NASA Goddard Space Flight Center*
*Greenbelt, Maryland*
- Thomas J. Stohlgren
*USGS National Institute of Invasive Species Science*
*Fort Collins, Colorado*
- 10 July 2003

## Agenda

- _Wednesday, 9 July ‘03_
- NASA Status Report	*(ESTO/CT Milestones, F,O1, C & G; Carbon Years 2 & 3)*
- USGS Status Report	*(ESTO/CT Milestones, F,O1, C & G; Carbon Years 2 & 3)*
- NASA HQ Report	*(Program Plans, NASA/USDA, ...)*
*-----*
- “Big Problem”		*(Priorities, issues, strategies, ... )*
- MSU Collaboration	*(Opportunities, overlaps, ...)*
- REASoN CAN		*(Initial project overview, HQ guidance ...)*
- _Thursday, 10 July ‘03_
- Milestone F 		*(Discussion, next steps, task assignments)*
- “Big Problem”		*(Discussion, next steps, task assignments)*
- MSU Collaboration	*(Discussion, next steps, task assignments)*
- REASoN CAN		*(Discussion, next steps, task assignments)*
- Misc.			*(Discussion, next steps, task assignments)*

## Slide 55

## Milestones F, O1, B

- By 8/15/03:
- New, finished website (Baker)
- SWE documentation (Baker)
- Ability to run canonical examples from website using user-set parameters (Kendig, Pedelty)
- By 9/15/03:
*n*-node ($50K) cluster bundled with Milestone F software and documentation and delivered to USGS / NREL(SSAI, Dorband)

**Notes:**
The Invasive Species Forecasting System is being made available to the extended community through the National Biological Information Infrastructure program and “InvasiveSpecies.gov” .

## “Big Problem”or “Problem, Large” ...

- Challenges
- Produce a comprehensive distribution map for tamarisk on the Colorado watershed
- Produce a comprehensive distribution map for cheat grass in Colorado and California
- Task (Team) - Initial steps to be completed by 12/31/03
- Field data assessment & acquisition (Crosier, Graham, Madsen)
- RS data assessment & acquisition (Morisette, Pedelty, Bruce)
- Temporal / hyperspectral signature assessments (Morisette, Pedelty, Bruce)
- Model assessment & development (Stohlgren, Reich, Madsen, Moristte, Pedelty, Smith, Schnase)
- Parallel algorithm/code assessment & development (Pedelty, Morisette, Reich)
- Problem definition, refinement, outreach, PR (Stohlgren, Smith, Schnase)
- NASA/USGS Coordination (Groat, Birk, Sheffner, Cotter, Hazeltine, Gregg, Posson, Stohlgren, Schnase)
- Fall geospatial modeling class at GSFC (Reich, Morisette)
- “Big Problem” White Paper / Strategic Plan (Schnase, Stohlgren, Sheffner)

## REASoN

- Next steps
- Negotiations?
- When do we start?
- Planning Meeting No. 1
- (Schnase, Stohlgren, Smith, Pedelty, Morisette, Pfister, Frame, Graham, ???)
- Staffing

## Miscellaneous

- Contact info
- PPTs
- Maui
- ESA
- USDA
- NISC
- Pubs

## Invasive SpeciesScience Team Meeting

- John L. Schnase
*NASA Goddard Space Flight Center*
*Greenbelt, Maryland*
- Thomas J. Stohlgren
*USGS National Institute of Invasive Species Science*
*Fort Collins, Colorado*
- 10 July 2003