FY 17 Output SHC 2.61
Practical Strategies for
Assessing Final Ecosystem
Goods and Services in
Community Decision
Making
United States
Environmental Protection Agency
EPA/600/R-18/183
June 2018
http ://www. e pa. g o v/s i
U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL HEALTH AND ENVIRONMENTAL EFFECTS RESEARCH LABORATORY
GULF ECOLOGY DIVISION

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Table of Contents
Introduction	1
Practical Strategies for Integrating a FEGS Approach into Community Decision Making	5
Valuing Community Benefits of Final Ecosystem Goods and Services: Human Health and Ethnographic
Approaches as Complements to Economic Valuation	7
Model Application Niche Analysis: Assessing the Transferability and Generalizability of Ecological Models
	9
Evaluation of the Use of FEGS in Regional Valuation Studies	10
How the Community Value of Ecosystem Goods and Services Empowers Communities to Impact the
Outcomes of Remediation, Restoration, and Revitalization Projects	12
Eco-Health Linkages: Assessing the Role of Ecosystem Goods and Services on Human Health using Causal
Criteria Analyses	14
Spatiotemporal Modeling of Ecological and Sociological Predictors of West Nile Virus in Suffolk County,
NY, Mosquitoes	15
National and Regional FEGS Metrics and Indicators	16
Staging FEGS for Coordinated Case Studies	17
SHC Project 2.61 Community-Based Final Ecosystem Goods and Services Strategic Communication Plan
	18
Managed Vocabulary for use of Ecosystem Goods and Services in Decision Making	20
References	21
Acknowledgements	22
Appendix A: SHC 2.61 Community-Based Final Ecosystem Goods and Services Project Overview	23
Appendix B: Coordinated Case Studies	27
San Juan, Puerto Rico Coordinated Case Study	27
Pacific Northwest Coordinated Case Study	30
Great Lakes Coordinated Case Study	32
Gulf of Mexico Coordinated Case Study	35
Southern Plains Coordinated Case Study	37

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Introduction
Output Description
This report, Practical Strategies for Assessing FEGS in Community Decision Making, describes the U.S.
EPA's Office of Research and Development's (ORD) research to incorporate the sustainability of final
ecosystem goods and services (FEGS) production and benefits into community-scale decisions across the
U.S. This report discusses research in the Community-Based Final Ecosystem Goods and Services Project
in the Sustainable and Healthy Communities National Research Program that demonstrates the
importance of articulating the decision contexts, the utility of decision support tools, the types of
ecosystem service metrics examined, the types of ecological modeling of FEGS production examined,
human benefits endpoints and estimation, and the utilization of these suites of tools and approaches by
communities. This report summarizes how community-based studies have previously utilized ecosystem
services to inform aspects of their decision making, to identify best practices that may be transferred to
other communities, and to identify gaps in those practices that need to be addressed. This report builds
upon a 2017 report, Practical Strategies for Integrating Final Ecosystem Goods and Services, into
Community Decision Making by Yee et al. (2017) and a number of other deliverables and ongoing
research in this project covering work through FY 17. This report includes summaries and excerpts from
those deliverables and ongoing research.
Agency Relevance
This report, and the research upon which it is based, was developed for U.S. EPA Regional Offices, Office
of Water, Office of Air and Radiation, and Office of Land and Emergency Management, to support their
efforts to help communities across the U.S. develop sustainable practices for their environments,
economies, and the well-being of their citizens. Other notable U.S. EPA Program Offices that have
significant interest/roles in ecosystem services research include the Office of Policy, Center for
Environmental Economics, Office of Sustainable Communities, Office of International and Tribal Affairs,
and Office of Enforcement and Compliance Assurance. Additionally, this report is intended to inform
colleagues involved with ecosystem services science within U.S. EPA's Office of Research and
Development.
Conceptual Framework
The conceptual framework for ORD's Community-Based Final Ecosystem Goods and Services research
focuses on the process of informing decision making through the use of ecological production functions
(EPFs), final ecosystem goods and services (FEGS), and indicators of human health and well-being. The
elements of the FEGS conceptual model shown in Figure 1 (e.g., stakeholder engagement/decision
context, FEGS, EPFs, and measures of benefit) represent efforts to support community-level decision
making by incorporating quantitative information on the production and benefits of ecosystem goods
and services. This conceptual model identifies critical linkages among the respective elements that
brings about a novel integration of science and policy to yield highly effective measures of decision
outcomes. Place-based studies provide an opportunity to explore the application of this conceptual
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model. The key science produced in this project in FY 17, and summarized in this report, are mapped
onto the elements of the conceptual model in Figure 1.
Staging FEGS for
Coordinated
Case Studies
^Res., page 18*.
National and
Regional FEGS
Metrics and
Indicators
Res., page 17
Moon et al. 2017
Man., page 9
O'Dea et al. 2017
Bell et al. 2017
Man., page 10
Social and Economic
Services
A Biophysical State
of the Ecosystem
(includes
intermediate EGS)
Benefit
Functions
Decisions,
Alternatives
A Human
Weil-Being
Mgmt
Actions
EPFs
A Final EGS
Myer et al. 2017
Man., page 16
Johnston et al. 2017
Ext., page 7
Information for Decision Support
SHC Project 2.61
Strategic
Communication Plan
„	Res., page 19	.
Yee et al. 2017
Ext., page 5
Managed Vocabulary
for use of EGS in
Decision Making
	Res., page 21^*
Williams et al. 2017
Ext., page 13
de Jesus Crespo and Fulford 2017
Man., page 15
Figure 1. The conceptual framework for ORD's Community-Based Final Ecosystem Goods and Services research
focuses on the process of informing decision making through the use of ecological production functions,
ecosystem goods and services, and indicators of human well-being.
Recent (FY 17) research products described in this report are mapped onto elements of the conceptual model
(colored ovals around the perimeter). The bold ovals highlight the two major FY17 deliverables presented first in
this report. Man. = manuscript; Rep. = EPA Report; Res. = Ongoing Research.
Different elements of the conceptual model showed in Figure 1 are echoed throughout each of the
studies described. These studies represent critical contributions of science for establishing effective
measures of decision outcomes of ecosystem services. Yee et al. (2017) describe a suite of practical
strategies (both application of tools and approaches) for integrating ecosystem services into a decision-
making process.
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Additionally, the 2017 research summarized in this Output report includes work across several broad
topics:
•	Tool Development and Application: de Jesus Crespo and Fulford (2017); Johnston et al. (2017);
Moon et al. (2017); Myer et al. (2017); Williams et al. (2017); Yee et al. (2017); FEGS Scoping
Tool - ongoing research
•	FEGS Frameworks: Bell et al. (2017); de Jesus Crespo and Fulford (2017); Johnston et al. (2017),
O'Dea et al. (2017); Yee et al. (2017); Staging FEGS for coordinated case studies - ongoing
research
•	Benefits: de Jesus Crespo and Fulford (2017); Johnston et al. (2017); Williams et al. (2017)
•	Targeted FEGS and Case Study Assessments: Johnston et al. (2017); Williams et al. (2017);
National and regional FEGS metrics and indicators - ongoing research
•	Stakeholder Engagement and Structured Decision Making: Johnston et al. (2017); Williams et
al. (2017); Yee et al. (2017); Staging FEGS for coordinated case studies - ongoing research
•	Communication and Outreach: SHC Project 2.61 Community-Based Final Ecosystem Goods and
Services Project strategic communication plan - ongoing research; managed vocabulary for use
of ecosystem services in decision making - ongoing research
The studies summarized in this report represent efforts to support community-level decision making by
incorporating quantitative information on the production and benefits of ecosystem services. These
efforts, mapped onto the conceptual model in Figure 1, look to clarify the decision context to help
scientists and stakeholders identify and prioritize information needed for decision making.
ORD scientists are working to improve a community's
decision-making process through incorporation of
ecosystem goods and services elements
into decision support tools and frameworks.
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Select Key Findings in this Synthesis Report
•	Practical strategies for guiding the use of ecosystem goods and services in community
decision making are highlighted in Yee et al. (2017). These practical strategies can
improve utility of information and communication, and foster development and
better evaluation of alternatives.
•	Human systems, including urban and other developed systems, are a part of the
ecosystem. ORD researchers are developing public health and other tools that focus
on this more integrative view of ecosystems, which is a critical step to valuation
ecosystem services.
•	Effective use of tools at multiple locations requires that we can quantify the
transferability of those tools. ORD researchers have developed metrics of
transferability that can ease the process for stakeholders choosing tools for decision
support.
•	Connections between human-induced stressors and their impacts on human well-
being can be complex with many intermediate steps. These pathways can be clarified
with the STEPS (Stressor-Ecological Production Function-Final Ecosystem Goods and
Services) Framework and this can greatly aid in assigning value to decision options
under consideration.
•	The FEGS Scoping Tool helps users identify and prioritize stakeholders, beneficiaries,
and environmental attributes in a structured, transparent, repeatable process for
selecting the more relevant environmental attributes for use as decision criteria in a
larger decision context.
•	A complete set of beneficiary relevant metrics will help improve social analysis by
ensuring a broad group of benefit classes is covered, which will facilitate
communication of ecosystem changes in a way that is meaningful and salient to
beneficiaries and decision makers.
•	Using social science methodologies, a new organizational framework has been
developed to sort and classify data and identify ecosystem services collected
through inductive methods like participant observation and document analysis.
•	Causal criteria analysis techniques can be used to help determine whether existing
literature supports cause and effect relationships between ecosystem goods and
services and human health (termed eco-health relationships).
•	A generalizable strategic communication framework can support the goals of strategic
communication beyond simple transfer of information by focusing on the three
interlinked pillars of message, audience, and vehicle that rests on the common
foundation of clearly articulated communication goals.

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Practical Strategies for Integrating a FEGS Approach into Community
Decision Making
Product Description
The synthesis report entitled Practical Strategies for Integrating Final
Ecosystem Goods and Services into Community Decision Making is the
synthesis of recent place-based, community-scale ecosystem services
studies conducted by the U.S. EPA.
Citation: Yee, S., J. Bousquin, R. Bruins, T.J. Canfield, T.H. DeWitt, R. de
Jesus Crespo, B. Dyson, R. Fulford, M. Harwell, J. Hoffman, CJ.
Littles, J.M. Johnston, R.B. McKane, L. Green, M. Russell, L.
Sharpe, N. Seeteram, A. Tashie, and K. Williams. (2017). Practical
Strategies for Integrating Final Ecosystem Goods and Services
into Community Decision-Making. U.S. Environmental Protection
Agency, Gulf Breeze, FL, EPA/6GG/R-17/266.
Background
The concept of Final Ecosystem Goods and Services (FEGS) explicitly connects ecosystem services to the
people that benefit from them. This report presents a number of practical strategies for incorporating
FEGS, and more broadly ecosystem services, into the decision-making process. Whether a decision
process is in early or late stages, or whether a process includes informal or formal decision analysis,
there are multiple points where ecosystem services concepts can be integrated.
Ecosystem services conceptual models help organize our thinking around how decisions and human
actions lead to changes in ecosystem state and function, availability of ecosystem goods and services,
and ultimately the human well-being benefits derived from them. While multiple ecosystem services
conceptual models are available, each are tailored to specific practitioner needs, such as conducting
ecosystem service assessments, linking ecosystem changes to economic valuation and cost benefit
analysis, assessing social impacts, or completing cumulative trade-off analysis on multiple components
of human well-being. Communities therefore need practical strategies for operationaiizing conceptual
models of ecosystem services within their decision-making processes.
Summary of Results
This report presents numerous tools and approaches for integrating ecosystem services into decision
making. Advantages of integrating ecosystem services concepts into values-focused thinking include
implementing elements of Structured Decision Making (SDM), expanded stakeholder engagement,
improved information collection and communication, creative development and evaluation of
alternatives, interconnected decisions, and strategic thinking. Early consideration of ecosystem services
can bring to light beneficiaries that might otherwise have been overlooked as stakeholders in the
decision process. Making decisions based on what is important to stakeholders is the basis of values-
focused decision making and is fundamentally distinct from the more common alternative-focused
decision making. Objectives related to ecosystem services should be considered in the broader context
of other stakeholder objectives. Information about stakeholder values helps to prioritize collection of
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Practical Strategies for Integrating
Final Ecosystem Goods and Services into
Community Decision-Making

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scientific information based on what is most relevant to decisions. Stating values explicitly promotes a
more inclusive, transparent, and defensible process, which creates an environment for fostering options
with better prospects for desired outcomes and minimal negative impacts. Ultimately, the concept of
ecosystem services can facilitate decision making based on what stakeholders value, regardless of what
tools are used.
Conceptual models can be applied to quantitatively evaluate alternatives through the use of ecological
production and benefit functions. They may need to be applied or developed to adequately estimate
effects of alternatives on stakeholder objectives. The complexity of models needed depends on the level
of uncertainty that decision makers are comfortable with incorporating into their processes. Tools such
as objectives hierarchies and means-ends networks can help clarify what is meant by objectives.
Structured conceptual models or hierarchies can provide a starting point for guiding discussions or
providing examples. In some cases, measures of ecosystem services may be useful surrogates for what
stakeholders value. In other cases, ecosystem services may provide a means to achieving other
objectives, and may provide novel solutions to finding areas of agreement among stakeholders with a
variety of different objectives.
Structured decision analysis provides an approach for evaluating trade-offs in a way that encourages
public participation and collaborative decision making, and allows for consideration of multiple
attributes. Integrating the concept of Final Ecosystem Goods and Services into decision making can help
provide a direct link from environmental conditions to social and economic benefits, ensuring that key
stakeholders, key objectives, and creative alternatives are not overlooked. Ultimately this will lead to
more inclusive decision making that promotes more sustainable approaches to balancing the economic,
environmental, and social trade-offs in decisions that communities face every day.
List of Practical Strategies Examined
•	Apply FEGS concepts to explicitly connect EGS to people
•	Apply principles of Structured Decision Making that emphasize flexible
approaches to FEGS
•	Incorporate EGS concepts at any point in the decision process
•	Use FEGS to identify beneficiaries as potential stakeholders
•	Use conceptual models as a scaffold to visualize cause and effect
•	Use objectives hierarchies to define what is important about FEGS
•	Use structured systems as a starting point to identify measurable objectives
•	Consider EGS as means to achieve stakeholders' objectives
•	Use structured paradigms to link EGS alternatives to broader objectives
•	Prioritize information and analysis to what is actually needed
•	Use conceptual models to visualize relationships
•	Quantify FEGS with ecological production functions
•	Let objectives drive the choice of methods for FEGS benefits analyses
•	Use decision support systems to organize and link FEGS analyses
•	Compare alternatives and gain insights with consequence tables
•	Consider tradeoffs in FEGS benefits relative to other kinds of objectives
•	Monitor impacts to FEGS benefits after a decision to inform future decisions
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Valuing Community Benefits of Final Ecosystem Goods and Services:
Human Health and Ethnographic Approaches as Complements to
Economic Valuation
Product Description
The report entitled Valuing Community Benefits of Final Ecosystem
Goods and Services: Human Health and Ethnographic Approaches as
Complements to Economic Valuation presents research on translating the
provisioning of final ecosystem goods and services (FEGS) into
community health and well-being. Whereas there is broad scientific
consensus that ecosystems provide a wide diversity of benefits to the
public, there is not broad consensus among researchers regarding the
best way to determine the value of these benefits. In a series of studies,
the report explores several multidisciplinary approaches to non-
monetary FEGS valuation, consider what aspects of these approaches
were successful, identify areas where the approach can be improved,
and discuss important future research areas.
Citation: Johnston, J.M., R. de Jesus Crespo, M.C. Harwell, C. Jackson, M. Myer, N. Seeteram, K. Williams,
S. Yee, and J. Hoffman. (2017). Valuing Community Benefits of Final Ecosystem Goods and
Services: Human Health and Ethnographic Approaches as Complements to Economic Valuation.
U.S. Environmental Protection Agency, Athens, GA, EPA/600/R-17/309.
Background
This report provides a summary of three research projects: 1) an evaluation of the quality of scientific
evidence associating green spaces with health benefits, along with ensuing research in San Juan, Puerto
Rico; 2) a Health Impact Assessment of a Long Island sewering pilot program in Suffolk County, NY that
revealed health benefits associated with control of sewage- and effluent-related EGS; and 3) a
community case study that used ethnographic methods to characterize how a Great Lakes community
values FEGS affected by aquatic ecosystem remediation and restoration. Although the approach
presented in each study is distinct, a number of common findings emerged. First, ecosystem goods and
services do factor into community decision making, and are important to communities and states.
Second, ecosystem goods and services contribute to human health and well-being in many ways, and
characterizing the entire pathway between ecosystem state and health is important to aid decision
making. However, to improve the application of eco-health relationships in decision making, researchers
need to address the whole pathway connecting FEGS to human health and well-being outcomes
(whether directly or indirectly) Third, the ability to include and value FEGS in decision making can be
improved by including approaches from the social and public health sciences such as HIA and
ethnographic methods. These approaches can complement monetary valuation of FEGS, and can be
used now to incorporate a wide range of community values related to FEGS, as well as their connection
to human health and well-being (Figure 2). The three local, place-based studies presented in this report
demonstrate how FEGS, benefits, and community values were brought into the conversation
successfully and practically - including what worked well and what could be improved in the future.
7
¦?/EPA

Valuing Community Benefits of
Final Ecosystem Goods and
Services: Human Health and
Ethnographic Approaches as
Complements to Economic
Valuation
SHC PROJECT 2.61

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Summary of Results
The report concludes that a thorough documentation and understanding of the causal pathways
between a community's decision, the FEGS that are involved, and the benefits that FEGS provide to
people in the community, combined with an appropriate decision-support process, can contribute to
decisions that result in healthier, more resilient communities. Public health and ethnographic methods
and tools provide a variety of approaches to integrate human beings and their collective values into
ecosystems, including urban and other developed systems. In the first study, it was found that the
evidence linking EGS to human health mainly supports intermediate steps, and very few published
studies address the entire pathway from ecosystem quality to disease. Specifically, multiple research
needs were identified regarding eco-health linkages between green space and health. In the second
study, a Health Impact Assessment (HIA) was used to evaluate how a proposed municipal code change
regarding onsite sewage disposal systems in Suffolk County, New York might affect human health. This
study demonstrates the use of HIA to identify FEGS and health impacts that were of interest and
concern to the community as a tool for building mutual trust and understanding with the community. In
the third study, researchers sought to understand how citizens, community groups, and a municipality
(City of Duluth, Minnesota) value FEGS. Ethnographic methods were used to create a conceptual map of
a neighborhood to identify and characterize the different values placed on an ecosystem and its
services. The community model is a tool to facilitate translation of goals and values between resource
agencies and communities.
This report offers specific recommendations regarding how to conduct future research that addresses
the link between FEGS, their value, and their benefit to communities. First, FEGS valuation should be
conducted by an interdisciplinary team, including those with expertise in social science, public health,
and ecology. Notably, researchers need to be aware that perspectives and language grounded in
different disciplines can impede communication. The research team should plan how to manage and
analyze multidisciplinary data, and establish a common terminology when working with conceptual
models. Moreover, integration must be designed into both the research and decision support from the
outset of project conception. Second, communities and states require access to, and support from,
practitioners of social, economic, human health, and ecological sciences to make this a reality. These
practitioners can build trust with stakeholders and decision makers by producing data with the
community, and using a decision support process that is built upon concepts of transparency and equity.
Expertise can be recruited from amongst the community's own staff, from universities and non-profit
organizations, from industry, and also from federal staff, but each should be represented.
Societal
Elements
Eco-Health Analyses
(Causal-Criteria)
Tool: Eco-Evidence
Health Impact Analyses
(Impact Assessments)
Tool: HIA Pathway Diagramming
Neighborhood-Scale Analyses
(Ethnographic)
Tool: Community Modeling Framework
Figure 2. Examining the benefits from EGS to human health and well-being among
ecosystem, societal, and human health elements.
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Model Application Niche Analysis: Assessing the Transferability and
GeneralizabiIity of Ecological Models
Product Description
The journal article entitled Model application niche analysis: Assessing
the transferability and generalizability of ecological models presents an
approach that creates model performance curves and decision landscape
plots to guide the model selection process when transferring an
ecological model.
Citation: Moon, J.B., T.H. DeWitt, M.N. Errend, R.J.F. Bruins, M.E.
Kentula, S.J. Chamberlain, M.S. Fennessy, K.J. Naithani. 2017.
Model application niche analysis: Assessing the transferability
and generalizability of ecological models. Ecosphere 8(10).
Background
The use of models by ecologists and environmental managers to inform environmental management
and decision making has grown exponentially in the past 50 years. Due to logistical, economical, and
theoretical benefits, model users frequently transfer preexisting models to new sites where data are
scarce. Models are always imperfect representations of systems and are constrained by the contextual
frameworks used during their development. Thus, model users need better ways to evaluate the
possibility of unintentional misapplication when transferring models to new sites. This journal article
presents a methodology for describing a model's application niche for use during model selection.
Summary of Results
The methodology was demonstrated using an empirical model developed to predict the ecological
condition of plant communities in wetlands. The model's transferability and generalizability was
examined for: (1) riverine wetlands across the contiguous U.S.A. (spatial transfer); (2) wetland types
within the Appalachian Highland physiographic region (organizational unit transfer); and (3) wetland
types across the contiguous U.S.A. (spatial-organizational transfer).
A model performance heat map can be used to simultaneously assess the spatial and organizational
transferability of a model to evaluate a model's application niche across contextual dissimilarity
gradients. The power of the methodology lies in its flexibility and ability to leverage pre-existing datasets
(and/or model results) to inform the model selection process. This methodology can be used for both
empirical (e.g., statistical, indices) and process-based models, where the model user chooses what
contextual variables to assess, and what dissimilarity and validation metrics to use. An additional critical
step in this methodology involves collecting and synthesizing quality validation data from model
application sites across the contextual dimension(s) of interest. Validation data can be taken directly
from the literature, when a model has already been transferred to application sites, or be calculated, by
synthesizing information from databases, and/or previous studies, that contain predictor and response
variables. This model transferability assessment methodology can be applied to models useful for
predicting the stocks or production of ecosystem services, or other environmental models.
9
Mean Model Error	NA
0 0-0.5 0.5-1 1-1.5 1.5-2
Spatial MD Index
Modified from Moon et al. Ecosphere
(2018).

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Evaluation of the Use of FEGS in Regional Valuation Studies
Product Description
The Product entitled Evaluation of the use of FEGS in Regional Valuation
Studies includes results from multiple manuscripts. As part of this Product,
two journal articles published in 2017 explore a STEPS (Stressor-Ecological
Production function-final ecosystem Services) Framework that links
changes in a biological indicator of a stressor to final ecosystem services.
Citations:
Bell, M.D., J. Phelan, T.F. Blett, D. Landers, A.M. Nahlik, G. Van
Houtven, C. Davis, C.M. Clark, and J. Hewitt. (2017). A
framework to quantify the strength of ecological links between
an environmental stressor and final ecosystem
services. Ecosphere 8(5).
O'Dea, C.B., S. Anderson, T. Sullivan, D. Landers, and C.F. Casey. (2017). Impacts to ecosystem
services from aquatic acidification: Using FEGS-CS to understand the impacts of air
pollution. Ecosphere 8(5).
Background
Two articles, Bell et al. (2017) and O'Dea et al. (2017), present a STEPS Framework. The STEPS
framework produces "chains" of ecological components that explore the breadth of impacts resulting
from the change in a stressor. Chains are comprised of the biological indicator, the ecological production
function which uses ecological components to link the biological indicator to a final ecosystem service),
and the user group who directly uses, appreciates, or values the component. The framework uses a
qualitative score (high, medium, low) to describe the strength of science for the relationship between
each component in the ecological production function.
The Bell et al. (2017) study examines how stressors such as climate events, increased fire frequency, and
pollution drive shifts in ecosystem function and resilience. Scientists generally rely on biological
indicators of these stressors to signal that ecosystem conditions have been altered. However, these
biological indicators are not always capable of being directly related to ecosystem components that
provide benefits to humans and/or can be used to evaluate the cost-benefit of a change in health of the
component (ecosystem services). The STEPS Framework was tested within a workshop setting using the
exceedance of critical loads of air pollution as a model stressor, and the Final Ecosystem Goods and
Services Classification System (FEGS-CS) to describe final ecosystem services.
The O'Dea et al. (2017) study examines how considerable effort has been invested into the development
of critical loads of aquatic acidification, as well as effort into implementing this science into policy and
land management. O'Dea et al. (2017) compiles, reviews, and characterizes the science underpinning
connections between critical load exceedances and human beneficiaries of ecosystem goods and
services in order to better communicate the relevance and importance of critical load exceedances to
the general public, and organize and characterize the science for possible future economic efforts to
conduct an ecosystem services valuation analysis. Specifically, the authors: (1) highlight the association
10
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between exceedances of aquatic acidification critical loads with initial impacts to biological indicators;
(2) identify and characterize the science surrounding the ecological chain reactions that occur following
initial impacts to biological indicators; and (3) identify the impacted ecological endpoints valued by
humans, as well as the human beneficiaries that are harmed by these impacts.
Summary of Results
The STEPS Framework can be adapted to any system in which a stressor is modifying a biological
component. The results of the analysis can be used by the social science community to apply valuation
measures to multiple or selected chains, providing a comprehensive analysis of the effects of
anthropogenic stressors on measures of human well-being. Similarly, a separate FEGS-approach based
framework can be applied to conducting end-to-end policy analysis.
In the Bell et al. (2017) paper, researchers identified chains for four modes of ecological response to
deposition: aquatic acidification, aquatic eutrophication, terrestrial acidification, and terrestrial
eutrophication. The workshop participants identified 183 unique ecological production functions linking
a change in a biological indicator to a FEGS, and a total of 1,104 chains when accounting for the multiple
beneficiaries. Chains were identified with the highest confidence ranking, based on strength of science
scores, as well as those where more research is needed.
In the O'Dea et al. (2017) paper, an expert workgroup was convened to synthesize information on acidic
deposition-induced aquatic acidification from the published literature and to link critical load
exceedances with ecosystem services and beneficiaries, using the STEPS Framework and the Final
Ecosystem Goods and Services Classification System (FEGS-CS). Experts identified and documented the
sensitive aquatic ecosystem ecological endpoints valued by humans, and the environmental pathways
through which these endpoints may experience degradation in response to acidification. Beneficiary
groups were then identified for each sensitive ecological endpoint to clarify relationships between
humans and the effects of aquatic acidification, and to lay the foundation for future research and
analysis to value these FEGS.
Aquatic acidification occurring as a result of atmospheric deposition, and associated with the
exceedance of critical loads of aquatic acidification, impacts a variety of freshwater aquatic ecosystem
components, such as aquatic vegetation, aquatic insects, crayfish, shellfish, brook trout, bass, otters,
mink, and loons. These components can negatively impact other ecosystem components, creating a
cascade of negative ecosystem effects. These effects were documented in the ecological production
functions, along with a qualitative assessment (strength of science scores) of the current evidence
supporting each link. The researchers identify a demonstrative, but not exhaustive list of ecosystem
goods and services that humans care about and that would be impacted by aquatic acidification via the
ecological production functions. They also identify a list of the human groups that likely place value on
these FEGS. This information can allow researchers to better communicate the meaning and
implications of critical load exceedances, and to identify the appropriate audiences for this information.
11

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How the Community Value of Ecosystem Goods and Services Empowers
Communities to Impact the Outcomes of Remediation, Restoration, and
Revitalization Projects
Product Description
The report entitled How the Community Value of Ecosystem Goods and
Services Empowers Communities to Impact the Outcomes of Remediation,
Restoration, and Revitalization Projects presents results from an EPA ORD
Regional Sustainability and Environmental Sciences (RESES) research
project focused on understanding the relationships between Great Lakes
Area of Concern (AOC)1 restoration and adjacent communities from an
ecosystem goods and services perspective.
Citation: Williams, K., J. Hoffman, D. Bolgrien, T. Angradi, J. Carlson, R.
Clarke, A. Fulton, H. Timm-Bijold, M. MacGregor, A. Trebitz, and S.
Witherspoon, (2017). Mow the community value of ecosystem
goods and services empowers communities to impact the outcomes of remediation,
restoration, and revitalization projects. U.S. Environmental Protection Agency, Duluth, MN.
ORD-023046.
Background
The U.S. EPA's Great Lakes National Program Office uses the term "Remediation to Restoration to
Revitalization (R2R2R)" to characterize the process of remediating contaminated sediments and
restoring aquatic habitat to help revitalize coastal communities. This question is important because
there are 43 AOC areas in the U.S. and Canada that either have in the past, or currently, fail to meet
the objectives of the Great Lakes Water Quality Agreement. The R2R2R approach is a place-based
practice that requires ongoing communication amongst agencies, local governments, and citizens. In
order to understand the dynamics of R2R2R, data were collected between June 2015 and December
2016 and analyzed through content analysis as part of a RESES project in order to better understand
the relationships between AOC restoration and adjacent communities. Objectives include:
1)	Determining how communities (both local governments and citizens) perceive and value EGS, as
expressed through routine activities.
2)	Determining how EGS or human well-being is incorporated or utilized in the various associated
planning and community outreach processes, including EPA and state agency programs, local
planning, and agency decision tools.
3)	Applying findings from this research to create guidance strategies for AOC communities to
demonstrate how EGS can be used to advance community revitalization following sediment
remediation and aquatic habitat restoration projects. The ultimate goal is to illustrate how
knowledge of EGS or human well-being could be used to facilitate two-way knowledge exchange
between agencies, community decision makers, and scientists.
1 An Area of Concern is a "An AOC is a geographic area designated by the Parties where significant impairment of
beneficial uses has occurred as a result of human activities at the local level" (Government of Canada and
Government of the United States of America 2012). https://binational.net/7wp-
content/uploads/2014/05/1094 Canada-USA-GLWQA- e.pdf.
12
SERA
How the community value of
ecosystem goods and services
empowers communities to
impact the outcomes of
remediation, restoration, and
revitalization projects
RESES FINAL REPORT

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Summary of Results
Participant observation was conducted at AOC management, St. Louis River Habitat Committee, City
of Duluth St. Louis River Technical Advisory Committee, and City of Duluth St. Louis River Corridor
park planning public meetings, as well as community group meetings. In addition to regular
attendance at meetings and document analysis, ongoing consultation with the Minnesota
Department of Natural Resources, City of Duluth, and USEPA Region 5 and Great Lakes National
Program Office officials provided opportunities for consideration of partner research interests, as well
as dissemination of findings.
Themes that emerged in the analysis as forces that shaped decisions, participation and the inclusion
of stakeholders and the public values were: disconnected and isolated decision contexts; variable
opportunities for citizen input; opportunities to share knowledge embedded in practical settings; an
educational approach to reducing barriers; and the importance of boundary spanning. Because both
tools and people are important to spanning institutional and thematic boundaries, a framework was
developed to sort and classify data and identify ecosystem services collected through inductive
methods like participant observation and document analysis





These categories reflect the
relationship people have with the
environment.




















Sustainability
or resilience

Aesthetics


















These categories
reflect the
neighborhood
attributes with
which people most
engage.

Parks or
public spaces

Neighborhood
or spatial unit of analysis

Safety

These categories
reflect the personal
attachments to self,
community, and
identity that might
motivate action.







Trails or
connections


Participation








Housing





Identity or place
attachment






Infrastructure

Natural features







Schools or
education

Economy

Local businesses

Social cohesion







Governance
or rules

Anchor
institutions








Demographics

Crime








The structural dimensions of the community
that shape how people and organizations
navigate their neighborhood.







Physical environment is in this category



Figure 3).
Figure 3. A Community Model framework to organize the collection of data and information from
inductive methods such as participant observation and document analysis.
The framework emerged from the analysis includes neighborhood components that individuals,
organizations, agencies, and local governments may discuss in the context of a physical space. The
characteristics included in the tool are a mix of built environment types, structural dimensions, personal
experiences, and human-environment relationships and include: parks/open spaces; trails or
connections; housing; schools; infrastructure; local businesses; macro-economy; natural features;
governmental rules or regulations; demographics/crime statistics/health care facilities; safety; self-
determination or participation; identity; social cohesion; sustainability; and aesthetics. This framework is
intended to be utilized as a "decoder ring" to interpret distinct values, and facilitate communication or
comparison across boundaries of experience or responsibility.
13

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Eco-Health Linkages: Assessing the Role of Ecosystem Goods and
Services on Human Health using Causal Criteria Analyses
Product Description
The journal article entitled Eco-Health linkages: Assessing the role of
ecosystem goods and services on human health using causal criteria
analyses provides an analysis of the literature examining relationships
between ecosystem goods and services and human health (termed eco-
health relationships).
Citation: de Jesus Crespo, R. and R. Fulford. (2017). Eco-Health linkages:
Assessing the role of ecosystem goods and services on human
health using causal criteria analyses. International Journal of
Public Health. DOI: 10.1007/s00038-017-1020-3.
Background
Where the emerging body of literature relating EGS to human health has been compiled in review
articles and captured in interactive tools, such as U.S. EPA's Eco-Health Relationship Browser, the
literature to date do not necessarily support causality, but rather focus on establishing plausible
associations. There are few papers tracing the full pathways from ecosystem, to EGS processes, to
health outcomes, which further limit the ability to demonstrate causality. This paper uses causal criteria
analysis to determine whether the existing literature supports cause and effect relationships between
green spaces, its effects on buffering ecosystem goods and services, and the impact on human diseases.
Summary of Results
The evidence directly linking green spaces to health includes papers on respiratory conditions, heat
morbidity, and cardiovascular disease. This study found sufficient support for the role of green spaces in
reducing heat morbidities and cardiovascular disease. The evidence linking green spaces to respiratory
illness was inconsistent; most of the inconsistencies were associated with the response of asthma
and/or allergies to green space cover. No papers were found associating green spaces with Gl disease.
Green spaces are causally linked to clean water and water hazard mitigation. There was sufficient
evidence linking clean water and water hazard mitigation to Gl disease. The authors did not find studies
addressing direct linkage between green space and Gl disease, even though there is sufficient evidence
supporting intermediate processes leading to this association. There was support for the role of green
spaces in water hazard mitigation and clean air. The evidence linking water hazards to respiratory illness
was less clear. From the studies assessing linkage between clean air and respiratory illness, those using
asthma as a response showed inconsistent evidence for causality, likely due to the types of indicators
used to measure cause and effect. The study found inconsistent evidence linking green spaces to asthma
and allergies. The authors found inconsistent evidence for the link between clean air and cardiovascular
disease, but found support for a direct link between greenspace and cardiovascular disease. The link
between green spaces and heat hazard mitigation is unequivocal, both for direct health outcomes and
for the intermediate steps. In terms of management for heat hazard mitigation, the amount of green
space is the most important factor, but there are other design considerations.
14
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Spatiotemporal Modeling of Ecological and Sociological Predictors of
West Nile Virus in Suffolk County, NY, Mosquitoes
Product Description
The journal article entitled Spatiotemporal modeling of ecological and
sociological predictors of West Nile virus in Suffolk County, NY,
mosquitoes examines the connections between West Nile virus presence
and ecosystem functions and services from open water and wetlands in
Suffolk County.
Citation: Myer, M.H., S.R. Campbell, and J.M. Johnston. (2017).
Spatiotemporal modeling of ecological and sociological
predictors of West Nile virus in Suffolk County, NY, mosquitoes.
Ecosphere 8(6).
Background
An estimated 74% of housing units in Suffolk County, Long Island, are not served by a sewer system.
Septic and cesspool systems contribute to nitrogen pollution of the aquifer and are also known to
provide a predator-free and sheltered habitat for mosquito breeding. West Nile virus (WNV) is an
arbovirus, vectored by mosquitoes, and is an emerging health threat in the United States. Myer et al.
(2017) used a Bayesian approach to fit a spatiotemporal model of WNV infection rates in Suffolk County.
Summary of Results
By utilizing easily obtained covariates from public data sources along with a county-provided mosquito
trapping dataset, Myer et al. (2017) presents a model that can be used by local municipalities to
prioritize and target WNV-preventive efforts. The authors found that land cover classified as open water
and woody wetlands had a negative association with WNV incidences in mosquitoes, and the count of
septic systems was associated with an increase in WNV. Model results confirm the results of previous
studies in the region, and uncover a positive association between septic systems and WNV that was
previously seen only in the tropics. In addition to informing traditional research in disease ecology and
human health studies on rare events, the study identifies important connections between West Nile
virus and ecosystem services associated with wetlands with important land-use management
implications. The study confirms previously found associations between weather conditions and WNV
and suggests that wetland cover has a mitigating effect on WNV infection in mosquitoes, while high
septic system density is associated with an increase in WNV infection.
A robust set of models for predicting WNV prevalence in vectors and reservoir hosts will contribute to
identification of potential hotspots before outbreaks occur, allowing preventive action to be taken. The
presence of woody wetlands, and to a smaller degree, emergent herbaceous wetlands, had a negative
association with WNV infection, in agreement with earlier work that found a similar association in the
northeastern United States. Further, the authors propose that non-seasonal wetlands can function
much like permanent open water areas in reducing the number of endemic transmission events
between birds and mosquitoes by providing greater habitat area and reducing overall population
density.
15
CM	ECOSPHERE
SpjUotempk*j1 modeling ol cvulopfjl jtftd topological pn-dnlors
erf Wtst Nile vtni> in Suffolk County. NY, moMpiiton

-------
National and Regional FEGS Metrics and Indicators
Final Ecosystem Goods and Services (FEGS) have been embraced as a means to identify
biophysical features that best link ecosystem changes to human well-being (Boyd et. 2016). Metrics and
indicators that describe the state of FEGS to non-experts and beneficiaries with salience and meaning
are necessary for effective communication and social analysis. Definition of these metrics requires
the integration of expertise from researchers familiar with particular ecosystems and the diverse ways
in which people directly interact with, and benefit from, these ecosystems. A methodology that strives
to achieve this result through the development of beneficiary specific metrics and indicators, was
initially developed for stream ecosystems Ringold et al. 2009, Ringold et al. 2011).
Subsequent work has focused on expanding FEGS metrics and indicators for other ecosystem types,
including wetlands, estuaries, forests, agro-ecosystems, lakes, and streams. In 2016, a FEGS workshop
was conducted to: 1) define biophysical metrics and indicators that are more directly relevant to human
welfare and experience (i.e., FEGS); 2) identify the gaps preventing scientists from defining welfare
relevant biophysical measures; and 3) review and refine a proposed methodology to support the
development of welfare relevant metrics and indicators. Twenty-two natural and social scientists
provided expertise for development of metrics and indicators of ecosystem services for each ecosystem
type as well as overall expertise on metric and indicator development from both social science and
natural science perspectives.
This research on advancing the science on FEGS metric and indicator identification (Figure 4), concludes:
•	While FEGS are meant to capture "final ecological" outcomes, the boundary between what is
"ecological" and "not ecological" can be murky.
•	Pathogens and contaminants in ecosystems impact humans, but there is some confusion about
how to represent them as FEGS.
•	Reliably measuring aesthetics is necessary to examine these FEGS, but current data sets on
aesthetics are few, and issues relating to how to measure and define aesthetics persist.
•	Data sets are often not available to measure the FEGS attributes of interest.
•	There has been some confusion about how beneficiaries extrapolate out to population-level
analysis in a way that avoids double counting.
•	Translation of available metrics into something meaningful to beneficiaries might be affected by
the beneficiary type, expectations, and intended usage.
•	Further guidance on non-use values is needed to identify a finite list of metrics that reflect non-
use values.
•	The intended purpose of the metrics and indicators should determine whether a multi-metric
index, or individual component metric is used.
1. Identify
Beneficiaris
~
2. Identify
Attributes
~
3. Identify
Desired
Metrics
~
4. Identify
Available
Metrics
~
5.Translation
•	Classiciation
•	Reporting
D
6. Identify
Barriers
Figure 4. Outline of proposed methodology for FEGS metric and indicator identification.
16

-------
Staging FEGS for Coordinated Case Studies
The Final Ecosystem Goods arid Services (FEGS) Scoping Tool
(Figure 5) is a decision-support tool designed to be used at an
early stage of decision making, when decision-makers are aware a
decision needs to be made, but before any actions are taken. The
tool helps users identify and prioritize stakeholders, beneficiaries,
and environmental attributes in a structured, transparent,
repeatable process. The relevant and meaningful attributes can
then be used to evaluate decision alternatives.
////s,y
FEGS Classification
System
I

Stakeholder
prioritization
literature
The FEGS Scoping Tool has three elements that build upon each
other: stakeholder prioritization, beneficiary profile development,
and key attribute identification. The stakeholder prioritization
steps focuses on: review and weight of stakeholder prioritization criteria; identify stakeholder groups;
and score those stakeholder groups on the prioritization criteria. The beneficiary profile development
component focuses on identifying the beneficiary groups making up each stakeholder group to develop
a prioritized set of beneficiaries and a beneficiary profile for the decision context. The key attribute
identification component focuses on identifying the ecosystem attributes of concern for each
beneficiary type to develop a prioritized set of environmental attributes.
The tool was designed to be easily transferable among a wide range of decision-makers to be used in
the scoping phase for any decision with an environmental context. The goal of the FEGS Scoping Tool is
to provide a transparent, repeatable, defendable approach for selecting the more relevant
environmental attributes for use as decision criteria in that larger decision.
The FEGS Scoping Tool is currently being tested by various internal audiences within the EPA. It is
expected that the first publicly available version of the tool will complete development by the end of
FY18 and will, at that point, begin the clearance process to be made available for use outside the EPA.
FEGS Scoping Tool
Stakeholder
Prioritization
Beneficiary
Profile
©
Key Attribute
Identification
Figure 5. The FEGS Scoping Tool is built upon three elements: stakeholder prioritization, beneficiary
profile, and key attribute identification.
17

-------
SHC Project 2.61 Community-Based Final Ecosystem Goods and Services
Strategic Communication Plan
The goals of a strategic communication effort may go beyond simple transfer of information; those
communicating may want to achieve other ends such as changes in behavior or increased support.
Implementing a strategic communication approach can be an effective way to communicate with
stakeholders about the results and conclusions of a scientist's research (Barker 2006). A strategic
communication program recognizes the limitations of the most common communication models (e.g.,
"one size fits all", "presenting everything and letting the audience decide what is important", and
"thinking that communication ends once the information has been presented") and specifically focuses
on building a communication framework
1. Set Project Goals and
Objectives
2. Set Communication Goals
3. Identify Audience(s)
4. Develop Messages
5. Select Vehicles
6. Define Metrics for Success
7. Implement Plan
8. Monitor & Evaluate
Steps 2-6 can be done
by using a Strategic
Communication Matrix
Figure 6. Generalizable Strategic Communication
Conceptual Framework using a Strategic Communication
Matrix.
that is composed of three
interlinked pillars - message
(the "what" of a message),
audience (the "who"), and
vehicle (the "how") - resting
on the common foundation of clearly
articulated communication goals (the "why" of
a communication effort). Traditionally, the
work of strategic communication has been
done by individuals and organizations other
than those conducting the basic research.
Scientists need to recognize that crafting a
science message involves describing the
content and context, both of which are
dependent on the type of audience and how
the message is communicated. Identifying the
right target group for a given communication
goal, developing the right message for
achieving that goal, and selecting the right
vehicle for delivering that message, allows
scientists to convey information about a
science message and its context. The three
interlinked pillars of message, audience, and
vehicle, resting on the common foundation of
clearly articulated communication goals, form
the core of a generalizable strategic
communication framework (Figure 6). A
strategic communication matrix is also
presented as one way to implement a plan
(Table 1). The ORD Community-Based Final
Ecosystem Goods and Services Project is
working on an effort to tailor communication
guidance, using the elements of strategic
communication, for a group typically charged
with producing information for others to
communicate.
18

-------
Table 1. Example template of a Strategic Communication Matrix. This matrix can be expanded or collapsed based on project needs to include as
many communication goals, audiences, messages, vehicles, and metrics are necessary to aid in accomplishing a project goal.
Project Goal
Insert Proiect Goal 1 here. This template can be adiusted to fit vour project needs based on the identified Proiect Goal.
Project Sub-
Goals
Insert Proiect Sub-Goal 1 here. This is the first sub-eoal necessary in aidine and accomplishine Proiect Goal 1.
Communication
Goals
Insert Communication Goal 1 here. This is the first communication eoal
necessary in aiding and accomplishing Sub-Goal 1. Ask 'what are you
trying to achieve?'
Insert Communication Goal 2 here. This is the second communication soal
necessary in aiding and accomplishing Sub-Goal 1. Ask 'what are you trying
to achieve?'
Audiences
Insert Audience 1 here. This is the
first group targeted to achieve
Communication Goal 1.
Insert Audience 2 here. This is the
second group targeted to achieve
Communication Goal 1.
Insert Audience 1 here. This is the
first group targeted to achieve
Communication Goal 2.
Insert Audience 2 here. This is the
second group targeted to achieve
Communication Goal 2.
Messages
Insert list of messaees here. These
messages are appropriate in aiding
and accomplishing Communication
Goal 1 and are specific to the
targeted group identified as
Audience 1.
Insert list of messaees here. These
messages are appropriate in aiding
and accomplishing Communication
Goal 1 and are specific to the
targeted group identified as
Audience 2.
Insert list of messaees here. These messaees are appropriate in aidine and
accomplishing Communication Goal 2 for both Audience 1 and Audience 2
and are specific to the targeted groups identified as Audience 1 & 2.
Vehicles
Insert a list of vehicles here that is
specific to Audience 1 and their
messages.
Insert a list of vehicles here that is
specific to Audience 2 and their
messages.
Insert a list of vehicles here that is specific to Audience 1 & 2 and their
messages.
Metrics
Insert a list of metrics for success.
These metrics aid in monitoring and
evaluating the success of
communicating Communication
Goal 1 with Audience 1.
Insert a list of metrics for success.
These metrics aid in monitoring and
evaluating the success of
communicating Communication
Goal 1 with Audience 2.
Insert a list of metrics for success. These metrics aid in monitorine and
evaluating the success of communicating Communication Goal 2 with
Audience 1 & 2.
19

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Managed Vocabulary for use of Ecosystem Goods and Services in
Decision Making
In general, there is a need for standardized vocabulary to improve collaboration and information sharing
within and among different scientific disciplines (Salafsky et al. 2008). A term may have different
meanings for different disciplines, so it is important for a research project to establish understandable
definitions when referring to a certain term, and keep up-to-date with the latest terms. Additionally,
recognizing the importance of consistent use of terminology, the definition of a given term needs to be
understandable by multiple users representing different disciplines (Villa et al. 2017).
In the field of ecosystem services, it is important to provide a common understanding of ecosystem
services studies and research results to advance ecosystem services research, better inform policy
making, and promote collaboration and communication between disciplines (Munns et al. 2015).
The growing field of ecosystem services science includes a large range of disciplines and practitioners.
The ORD research efforts on ecosystem services include sub-disciplines in the natural, health, and social
sciences (Figure 7). Munns et al. (2015a) provided a starting place for standardizing ecosystem services
terminology with the recognition that definitions would continue to evolve (e.g., many definitions from
the Millennium Ecosystem Assessment (2009) have been expanded/enhanced as the field of ecosystem
services has evolved). The ORD Community-Based Final Ecosystem Goods and Services research project
is expanding beyond the core elements of ecosystem services to incorporate vocabulary from
overlapping disciplines and is working to provide a standard, managed vocabulary for natural and social
scientists to agree on common and useful vocabulary for the use of ecosystem services in decision-
making. By developing standardized ES terminology, scientists and decision-makers can better
collaborate and communicate how to measure, quantify, and value ecosystem services in a reliable and
repeatable manner (Landers and Nahlik 2013).
Economics
Ecosystem
Goods and
Services
Human/Public
Health
Ecosystem
Services
Decision
Science
Communicatio
Geography
Benefits
Human Weil-Being
Place-Based Studies
Strategic Communication
Final Ecosystem
Goods and Services
Ecological Production
Functions
Figure 7. Conceptual diagram showing the science of ecosystem services that includes a suite of related
disciplines (petals) and related concepts (boxes).
20

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References
Barker, S. (2006). Environmental Communication in Context. Frontiers in Ecology and the Environment
4(6):328-329.
Bell, M.D., J. Phelan, T.F. Blett, D. Landers, A.M. Nahlik, G. Van Houtven, C. Davis, C.M. Clark, and J.
Hewitt. (2017). A framework to quantify the strength of ecological links between an environmental
stressor and final ecosystem services. Ecosphere 8(5).
de Jesus Crespo, R. and R. Fulford. (2017). Eco-Health linkages: Assessing the role of ecosystem goods
and services on human health using causal criteria analyses. International Journal of Public Health. DOI:
10.1007/s00038-017-1020-3.
Government of Canada and the Government of the United States of America. (2012). Great Lakes
Water Quality Agreement. Accessed 10, August 2017 from https://binational.net//wp-
content/uploads/2014/05/1094_Canada-USA-GLWQA-_e.pdf.
Johnston, J.M., R. de Jesus Crespo, M.C. Harwell, C. Jackson, M. Myer, N. Seeteram, K. Williams, S. Yee,
and J. Hoffman. (2017). Valuing Community Benefits of Final Ecosystem Goods and Services: Human
Health and Ethnographic Approaches as Complements to Economic Valuation. U.S. Environmental
Protection Agency, Athens, GA, EPA/600/R-17/309.
Moon, J.B., T.H. DeWitt, M.N. Errend, R.J.F. Bruins, M.E. Kentula, S.J. Chamberlain, M.S. Fennessy, K.J.
Naithani. (2017). Model application niche analysis: Assessing the transferability and generalizability of
ecological models. Ecosphere 8(10).
Munns, Jr., W.R., A. Rea, M.J. Mazzotta, L.A. Wainger, and K. Saterson. (2015). Toward a standard
lexicon for ecosystem services. Integrated Environmental Assessment and Management ll(4):666-673.
Myer, M.H., S.R. Campbell, and J.M. Johnston. (2017). Spatiotemporal modeling of ecological and
sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes. Ecosphere 8(6).
O'Dea, C.B., S. Anderson, T. Sullivan, D. Landers, and C.F. Casey. (2017). Impacts to ecosystem services
from aquatic acidification: Using FEGS-CS to understand the impacts of air pollution. Ecosphere 8(5).
Salafsky, N., D. Salzer, A.J. Stattersfield, C. Hilton-Taylor, R. Neugarten, S.H.M. Butchart, B. Collen, N.
Cox, L.L. Master, and S. O'Connor. (2008). A standard lexicon for biodiversity conservation: Unified
classifications of threats and actions. Conservation Biology 22(4):897-911.
Villa, F., Balba, S., Athanasiadis, I.N., and C. Caraccilo. (2017). Semantics for interoperability of
distributed data and models: Foundations for better-connected information. FlOOOResearch (6):686.
Williams, K., J. Hoffman, D. Bolgrien, T. Angradi, J. Carlson, R. Clarke, A. Fulton, H. Timm-Bijold, M.
MacGregor, A. Trebitz, and S. Witherspoon. (2017). How the community value of ecosystem goods and
services empowers communities to impact the outcomes of remediation, restoration, and revitalization
projects. U.S. Environmental Protection Agency, Duluth, MN. ORD-023046.
Yee, S., J. Bousquin, R. Bruins, T.J. Canfield, T.H. DeWitt, R. de Jesus Crespo, B. Dyson, R. Fulford, M.
21

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Harwell, J. Hoffman, C.J. Littles, J.M. Johnston, R.B. McKane, L. Green, M. Russell, L. Sharpe, N.
Seeteram, A. Tashie, and K. Williams. (2017). Practical Strategies for Integrating Final Ecosystem Goods
and Services into Community Decision-Making. U.S. Environmental Protection Agency, Gulf Breeze, FL,
EPA/600/R-17/266.
Acknowledgements
This report could not have been prepared without the support of the SHC 2.61 Integration, Synthesis
and Strategic Communication Task leadership team for their valuable contributions to the Project (Matt
Harwell, NHEERL/GED; Ted DeWitt, NHEERL/WED; Marc Russell, NHEERL/GED; Paul Ringold,
NHEERL/WED; Randy Bruins, NERL/SED; Tammy Newcomer-Johnson, NERL/SED; John Johnston,
NERL/CED; Rich Fulford, NHEERL/GED; Susan Yee, NHEERL/GED; Bob McKane, NHEERL/WED; Joel
Hoffman, NHEERL/MED; Tim Canfield, NRMRL/GWERD).
Additional report content contributions came from Project team members identified as co-authors on
the numerous project deliverables summarized in this report. Tammy Newcomer-Johnson and Mike
Lewis served as additional reviewers for this report. Photos on cover page courtesy of U.S. EPA.
Notice and Disclaimer
The U.S. Environmental Protection Agency through its Office of Research and Development (ORD)
funded and collaborated in the research described herein. This document has been subjected to the
Agency's peer and administrative review and has been approved for publication as an EPA document.
Any mention of trade names, products, or services does not imply an endorsement or recommendation
for use.
This is a contribution to the EPA ORD Sustainable and Healthy Communities Research Program.
The citation for this report is:
Harwell1, M.C. and C. Jackson2. FY17 Output (2018) - SHC 2.61.2 Practical Strategies for Assessing Final
Ecosystem Goods and Services in Community Decision Making. U.S. Environmental Protection Agency,
Gulf Breeze, FL, EPA/600/R-18/183.
1	U.S Environmental Protection Agency, NHEERL, Gulf Ecology Division, Gulf Breeze, FL.
2	Student Services Contractor, U.S. Environmental Protection Agency, NHEERL, Gulf Ecology Division, Gulf Breeze, FL.
22

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Appendix A: SHC 2.61 Community-Based Final Ecosystem Goods and
Services Project Overview
Background
In the complex arena of sustainability, where the costs of failure can be high and stakeholders have
multiple and sometimes conflicting interests, communities need measurement tools to characterize
their current state, develop meaningful goals and quantifiable objectives for the future, understand the
consequences of alternative investment strategies, track their progress, and confirm that their
investments are yielding the intended results. The Sustainable and Healthy Communities (SHC) Research
Program outlines the Office of Research and Development's role in achieving U.S. EPA's objectives for
cleaning up communities, making a visible difference in communities, and working toward a sustainable
future. It was developed with considerable input and support from partners within U.S. EPA Program
and Regional offices, as well as from outside stakeholders such as community leaders, other federal
agencies, nonprofit organizations, and colleagues across the scientific community. It includes research
and development to generate and provide access to environmental science on health, well-being, and
the environment, and to place that science in the context of the critical decisions facing communities
(Figure 8). Ecosystem services research under ORD's SHC Research Program addresses: (1) how to
estimate current production of ecosystem goods and services, given the type and condition of
ecosystems; (2) how ecosystem services contribute to human health and well-being; and (3) how the
production and benefits of these ecosystem services may be reduced or augmented under various
decision scenarios and in response to regional conditions.
Sustainable & Healthy Communities Research Program
Community-Based
Human Health
Remediation/Restoration
of Contaminated Sites;
Materials Management
i
Transdisciplinary Integration
Understanding Causal Relationships Between
Human Health, Ecosystems and Well-being
Data Bases, Tools, Models, Interoperability, and Assessments
J
SYSTEMS APPROACH to ACHIEVING SUSTAINABILITY
Total Resource Impacts & Outcomes (TRIO) Applied to Decisions
Affecting Communities
Figure 8. The SHC research and development program conceptual model (Plan Years 2016-2019).
Research and development conducted under SHC is intended to inform and empower decision makers
to equitably weigh and integrate human health, socio-economic, environmental, and ecological factors
to foster sustainability in the built and natural environments. The primary focus of SHC is on developing
23

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tools and approaches to help local decision makers understand the effects of alternative policies and
actions on sustainability.
The SHC 2.61 Community-Based Final Ecosystem Goods and Services Project uses scientific knowledge of
ecosystem services, economics, and human health to promote community well-being and maintain or
restore high environmental quality. Research in SHC 2.61 focuses on: 1) the specification, classification,
measurement, and modeling of final ecosystem goods and services (FEGS; those components of nature,
directly enjoyed, consumed, or used to yield human well-being); 2) linkages of delivery of FEGS to
beneficiaries within communities (including to members of vulnerable populations); 3) measurement of
the benefits of FEGS with particular attention to human health and human well-being endpoints; 4)
examination of the effects of climate and other co-occurring stressors on the production and delivery of
FEGS; and 5) linkages of this research to EnviroAtlas and other decision support tools. SHC Project 2.61
involves the development and integration of these research elements, in part, through the utilization of
coordinated case studies for conducting research to help inform communities about making decisions
with sustainable outcomes, and assess the transferability of FEGS-based decision support tools to other
locations.
Project Goals and Research
The overall structure for the SHC 2.61 Project is outlined in Figure 9. Practical applications of
incorporating ecosystem services science into community sustainability activities requires an evaluation
of the decision context for that particular activity. Clarifying the decision context is critical to bring focus
to a problem and define the scope of information that will be needed. Establishing ecosystem services
concepts within a decision context is thus a crucial step that helps both scientists and stakeholders to
identify and prioritize the information necessary to support decision making. Examples of community
issues for which ecosystem services assessments were performed include watershed management,
climate resiliency, development of resource sustainability plans, water quality regulation, and land-use
development.
Outlining the Decision Context Helps
•	Frame the problem
•	Bring clarity to the scope and bounds of decision-making capabilities
•	Prioritize information needs
•	Focus on, and more effectively evaluate, the most relevant potential tradeoffs
24

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Final EGS
Task
EPFs
Task
Benefits
I Task
Coordinated Case
. Studies Task
Integratioj
' Health &
Economic
Endpomts
Policy or
Stressor
Human
Well-being
Ecosystem
Goods and
Services
Ecological
V-.. Production
.r Functions ^
(EPFs)
Ecological
Benefit
Function
Figure 9. SHC 2.61 Project Structure showing integration of ecosystem services
related research across the Project.
The structure of SHC 2.61 (Figure 9) allows for the decision context to be articulated at multiple parts of
the process, whether setting the stage for characterizing the actions/decisions, shaping the types of
beneficiaries, and thus the relevant final ecosystem goods and services metrics to be studied, or
understanding the human health and well-being endpoints that ecosystem services assessments can
help inform at a given case study location.
Research activities across five Tasks in SHC 2.61 have been completed to accomplish the goals related to
the FY 17 Output for this Project:
SHC 2.61 Community-Based Final Ecosystem Goods and Services Tasks
2.61.1	Integration, Synthesis and Strategic Communication
2.61.2	Final Ecosystem Goods and Services
2.61.3	Ecological Production Functions for Quantifying Final Ecosystem Goods and Services
2.61.4	National and Community Benefits of Final Ecosystem Goods and Services
2.61.5	Coordinated Case Studies
2.61.1 Integration, Synthesis and Strategic Communication (Matthew Harwell NHEERL/GED)
The scope of the Integration, Synthesis, and Strategic Communication (ISSC) Task includes the
facilitation, internal coordination, and external dissemination of results of original research that utilize
connections between community decisions, stressors, production functions, FEGS, and benefits.
25

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2.61.2	Final Ecosystem Goods and Services (Paul Ringold NHEERL/WED)
Final ecosystem goods and services, or FEGS, are aspects of ecosystems that directly affect human well-
being. The scope of the Final Ecosystem Goods and Services (FEGS) Task includes: identification of
metrics and indicators of FEGS for multiple environmental classes and individual communities;
identification of a FEGS approach that supports a complete national FEGS system; and the development
and testing of methods for transferring metrics and indicators of FEGS among places and ecosystems.
2.61.3	Ecological Production Functions for Quantifying Final Ecosystem Goods and Services
(Tammy Newcomer-Johnson NERL/SED; Randall Bruins (retired) NERL/SED)
Ecological production functions, or EPFs, are mathematical representations (i.e., models) of the
production of ecosystem goods and services. The scope of the Ecological Production Functions for
Quantifying Final Ecosystem Goods and Services (EPF) Task is to: develop approaches and tools for
helping communities find or develop the ecological production functions (and associated data) needed
to inform their decisions; provide an overview of existing and needed EPFs; and further develop, adapt,
and utilize an existing online EcoService Models Library to address the needs of Coordinated Case
Studies and other aspects of the Project.
2.61.4	National and Community Benefits of Final Ecosystem Goods and Services (John M.
Johnston NERL/CED)
The scope of the National and Community Benefits of Final Ecosystem Goods and Services (Benefits)
Task focuses on how the benefits of FEGS are delivered to different populations through: supporting
primary and secondary benefits studies involving community-based preferences and values for natural
resources; identification of opportunities in the Coordinated Case Studies Task to conduct quantitative
modeling of FEGS and their benefits to human health outcomes; and provide a beneficiary perspective
on advancing Eco-Health relationships.
2.61.5	Coordinated Case Studies (Richard Fulford NHEERL/GED)
The scope of the Coordinated Case Studies (CCS) Task is to develop approaches and test the utility of
FEGS concepts within community-level structured decision making. This will be done through a national
coordinated study designed to address how transferable a FEGS approach to decision support is across
different water resources and climate resiliency related issues and different community types. The work
is conducted across a series of community-based case studies sharing several common elements: a set
of methods to identify decision contexts, metrics and indicators of FEGS for relevant beneficiaries;
models to estimate production of those FEGS, including the impacts of stressors; and resulting benefits
to human health and well-being. This task also tests the utility of decision support tools for facilitating
these methods across community types and decision contexts. The five case study locations are San
Juan, Puerto Rico, Pacific Northwest, Great Lakes Region, Coastal Gulf of Mexico, and Southern Plains
Watersheds. More information about the individual Coordinated Case Studies are presented in
Appendix B.
26

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Appendix B: Coordinated Case Studies
There are five Coordinated Case Studies (CCS) within the ORD Community-Based Final Ecosystem Goods
and Services project. The CCS are applying principles of structured decision making to develop
approaches and tools to integrate ecosystem goods and services (EGS) concepts into community-level
decision making.
SHC 2.61.5 Coordinated Case Studies Task
2.61.5a San Juan, Puerto Rico (Susan Yee NHEERL/GED)
2.61.5b Pacific Northwest (Bob McKane NHEERL/WED)
2.61.5c Great Lakes (Joel Hoffman NHEERL/MED)
2.61.5d Gulf of Mexico (Rich Fulford NHEERL/GED)
2.61.5e Southern Plains (Tim Canfield NRMRL/GWERD)
An overview of each CCS is presented below, including a description of the ecosystem services related
issues at each CCS, the research approaches involved, objectives and measures of success of ecosystem
services focused research, and impact of the CCS work are presented below.
San Juan, Puerto Rico Coordinated Case Study
Figure 10. San Jose Lagoon, San Juan, Puerto Rico (Source: U.S. EPA).
Issue
The San Juan Bay Estuary watershed, Puerto Rico, is a predominately urban watershed comprising a
number of freshwater, estuarine, and coastal ecosystems.
Watershed management decisions (e.g., dredging canals, restoration of mangrove buffers, and sewage
discharge interventions) are being implemented to target priority pressures (e.g., urbanization, aquatic
debris, habitat loss, stormwater runoff, sewage discharges, and flooding) that affect the condition of the
estuary, as well as associated terrestrial and coastal ecosystems.
The goal of this case study is to develop tools and approaches to investigate the potential impacts of
alternative watershed management decisions on ecosystem services and their social and economic
benefits to the greater San Juan community. Potential impacts on vulnerable populations (e.g., children,
27

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impoverished urban neighborhoods) will be investigated, as well as the broader context of ongoing
economic issues and population decline throughout the island (Figures 10, 11, and 12).
Research Approach
Research in this case study follows a five-step structured decision-making framework with high potential
for transferability to other communities within estuarine watersheds, and communities in general:
1.	Clarify the decision context. Document reviews and stakeholder engagement are being applied
to: a) identify key stakeholder and beneficiary groups; b) identify key economic, social, health,
and environmental concerns of stakeholders; c) develop conceptual models linking decisions to
ecosystems to benefits; and d) identify areas of research to reduce key uncertainties. The case
study is investigating the applicability of systems-thinking frameworks (e.g., Driver-Pressure-
State-Impact-Response [DPSIR]) and decision analysis support tools (e.g., Decision Analysis for
Sustainable Economy, Environment, Society [DASEES]).
2.	Characterize community sustainabilitv goals and identify metrics to quantify key economic,
social, and environmental concerns. This research is engaging key stakeholders and reviewing
existing planning documents to identify the priority ecosystem services endpoints relevant to
watershed management. Emphasis will be on characterizing potential shared benefits or
tradeoffs. The relevance of metrics in the FEGS Classification System (FEGS-CS), EnviroAtlas,
Rapid Benefits Indicators (RBI), and the Human Weil-Being Index (HWBI) is being investigated.
3.	Develop data, information, and models to link decision scenarios and stressors to impacts on
ecosystem services. Researchers are reviewing methods for quantifying ecosystem services
production (ecological production functions [EPFs]), drawing from the EcoService Models Library
(ESML) where applicable. Relevant ecosystem services include flood mitigation, aesthetic and
recreational opportunities, water quality regulation, and carbon sequestration. Researchers are
collecting field data to characterize carbon storage and anthropogenic nitrogen flow through the
estuarine system.
4.	Develop data, information, and models to link decision scenarios and stressors to impacts on
human health and well-being. Scientists are reviewing and developing methods for quantifying
benefits derived from ecosystem services (ecological benefits functions [EBFs]). These include
human health, economic benefits, and human well-being. The case study is investigating the
Eco-Health Relationship Browser, Health Impact Assessments (HIA), and the HWBI as potential
frameworks for linking ecosystem services to human health and well-being. Researchers are
collecting field data linking flooding and water quality to impacts on asthma and vector-borne
illnesses.
5.	Integrate data, information, and models into a spatially-explicit modeling framework to evaluate
tradeoffs under alternative scenarios. Information, models, and tools are being integrated into a
modeling framework (e.g., energy and materials flow, urban metabolism, Envision) to
investigate the impacts of alternative decision scenarios on priority ecosystem services and
associated benefits to human health and well-being.
28

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Objectives and Measures of Success
Objectives of this case study are to develop information and tools to assist communities in the San Juan
Bay estuary watershed making decisions toward increasing ecological integrity, social well-being,
economic prosperity, and environmental stewardship (Figure 13). The case study will emphasize
collaborative development of information and approaches between EPA, Puerto Rico agencies, and
community groups.
Figure 11. San Juan street art
(Source: U.S. EPA).
Figure 12. San Jose Lagoon,
San Juan, PR (Source: U.S. EPA).
Impact
This case study will improve understanding of the relationships and tradeoffs involved in estuarine
watershed management, and identify decisions and management options that support economically,
socially, and environmentally sustainable communities. Coordination with other case studies will allow
exploration and identification of approaches for integrating ecosystem services into community decision
making that are scalable and transferable to other communities.
i ^
Dengue Cases per Person by Zip Code (2000-2015)
0 000540 - 0 004705	w-
0 004706 • 0 009085
0009086 - 0 010936
[^¦ 0 010937 - 0 013432
— 0 013433 - 0 017361 Mexlco jfj
I I SJBE Outline
Puerto Rico Outline
0	12 5 25	50 Kilometers
	1	i	i	i	I	i	i	i	I
fuK^
Figure 13. Dengue fever (cases per person by zip code) in the San Juan Bay Estuary, PR, is an example
of vector-borne disease being studied to understand connections between ecosystem services related
to flooding and water quality and impacts to human health and well-being. Dengue data was provided
by the CDC Dengue branch; Puerto Rico outline (United States Postal Service); Caribbean Map (DeLorme,
Mapmylndia, © OpenStreetMap contributors, and the GIS community).
29

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Pacific Northwest Coordinated Case Study
ho Tillamook Bay Case Study Site
1
i1
Tillamook
Bay
Netarts
Bay
Figure 14. PNW case study sites in the Mashel and Tolt River watersheds in Washington's Puget Sound
Basin (Source: Puget Sound Partnership; Assessed 21 June 2018),
and in Oregon's Tillamook Bay estuary (Source: USEPA).
[A separate but associated project is being conducted in urban watersheds in Seattle, WA].
Issue
The PNW is a region of diverse and highly valued natural resources that provide a variety of ecosystem
goods and services vital to human well-being. However, these resources and services are being strained
by population growth, land use change, climate, and other stressors. This has fundamentally altered the
natural functioning of ecosystems and their capacity to sustainably provide essential goods and services
for communities. Provisioning of clean drinking water, flood protection, fish and shellfish habitat, and
recreational and cultural opportunities have been significantly degraded in many locations. Economic
and sociological impacts have been especially damaging to rural communities dependent on the once
thriving fishery and forest industries.
Many PNW communities, tribes, and State agencies are seeking assistance for mitigating and/or
adapting to projected changes in climate and land use.
The PNW case study includes three distinctly different watersheds, two in Washington's Puget Sound
Basin and one on the Oregon coast (Figure 14). While each of these involves a unique set of
stakeholders and watershed impairment issues (see below), results suggest that community-based
restoration planning goals can be addressed through a common decision support approach that uses a
transferable set of modeling tools.
Decision Context
The PNW case study will identify ecosystem-based management solutions that consider the linkages
between terrestrial and aquatic systems for whole watersheds. Stakeholder partners are directly
involved in developing alternative model-based decision scenarios. Scientists with EPA's Office of
Research and Development (ORD) are working with these stakeholders to demonstrate and transfer
tools and/or information that can be used to assess scenario outcomes. The primary objective is to
develop practical strategies that stakeholders can implement to achieve their economic, human health,
and cultural goals.
30

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For the Tolt and Mashel River watersheds in Puget Sound, research will focus on identifying forest
management practices that most effectively restore populations of endangered salmonids, while also
providing clean drinking water, forest sector jobs and cultural benefits for local tribes and communities
(Figure 15). For the Tillamook Bay watershed, research will focus on identifying floodplain, urban, and
forest management practices that most effectively reduce inputs of nutrients, sediments, and fecal
matter to the estuary, and how these practices can be prioritized to best protect multiple objectives -
human health, shellfish production, clean drinking water, and sustainable local economies (Figure 16).
Objectives and Measures of Success
ORD scientists are working with case study stakeholders to identify: (1) impairments to intermediate
EGS and FEGS deemed essential to community well-being; and (2) methods and measures for restoring
those services at relevant spatial and temporal scales. Methods and measures range from empirical field
and laboratory studies (e.g., sampling and analysis of stream nutrients and pathogens) to application of
systems-based watershed, and estuarine/ocean models (VELMA; Accessed 25, June 2018; and the
Coastal General Ecosystem Model, or CGEM). These methods and models are being used to quantify
impacts of land use and climate on a comprehensive suite of ecosystem goods and services provided by
terrestrial, stream, and estuarine habitats.
Impact
The VELMA and CGEM models are being applied in collaboration with case study community groups,
tribes, and natural resources agencies of the States of Oregon and Washington seeking to address
restoration of hydrological and ecological processes critical to salmon and shellfish recovery, and more
broadly, to the functioning of entire watersheds and the final ecosystem goods and services they
provide.
Model results and training in the use of these tools are being provided to stakeholders to help them
identify practical watershed management strategies for mitigating and adapting to changes in climate.
Stakeholders are currently using model results to address their objectives, such as the establishment of
a Nisqually Community Forest that sustainably supports local forest-sector jobs, recreation, and tourism
— see EPA Research: August 1, 2017.
Visualization training is a key part of our ongoing stakeholder engagement efforts. For example, VELMA
incorporates various visualization tools - charts, graphs and animations - designed to help stakeholders
evaluate and communicate complex model outputs in ways that are intuitively useful for environmental
decision making.
Figure 15. The Tolt River provides critical
salmon habitat and 1/3 of Seattle's
drinking water (Source: Seattle.gov
Accessed 17, August 2012).
Figure 16. Dairy lands and Tillamook
Bay estuary
(Source: TillamookBav.org
Accessed 17, August 2012).
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Great Lakes Coordinated Case Study
St. Louis River AOC
Duluth
Hermantown
Superior
Cloquet
V horn son
I	Rrver or Stream
Highway
Lake or River
AOC Boundary
	 Municipality
St.-Louis' River AOC
Counly Boundary!
Figure 17. St. Louis River Area of Concern (Source Minnesota Sea Grant. Accessed 21, June 2018).
Issue
The EPA Area of Concern (AOC) program began in the late 1970s and is an early example of an
ecosystem-based management approach founded on the maintenance of ecosystem integrity and
recognition of human use of, and benefits from, nature (Figure 17). Great Lakes AOCs were established
in response to crises of legacy contamination of heavy metals, polychlorinated biphenyls (PCBs), and
dioxins, as well as combined sewage overflows and storm-water runoff in Great Lakes coastal
communities. The AOCs are defined as "geographic areas that fail to meet the general or specific
objectives of the agreement where such failure has caused or is likely to cause impairment of beneficial
use of the area's ability to support aquatic life" (Great Lakes Water Quality Agreement 2012).
The vision is to restore the beneficial uses of the aquatic ecosystem that have been impaired in the most
degraded sites within the Great Lakes, particularly industrial and population centers along the Great
Lakes shoreline. In all, 43 AOCs were identified in Canada and the U.S. Today, 27 AOCs remain on the
U.S. side of the Great Lakes (Figure 19). Federal funds administered by EPA Great Lakes National
Program Office under the Great Lakes Legacy Act (GLLA) and Great Lakes Restoration Initiative (GLRI)
provide funding for sediment remediation and aquatic habitat restoration in AOCs. In some cases,
economic revitalization has been a desired result of those activities.
The governance structure of the AOC program as established under the bi-national Great Lakes Water
Quality Agreement is comprised of federal, tribal or First Nation, state, and local agencies working with
32

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local stakeholders through a Public or Citizen Advisory Committee. Ultimately, de-listing is approved by
the EPA Great Lakes National Program Office. The foundation of the AOC program is that Great Lakes
coastal ecosystems provide beneficial uses for humans such as drinking water, clean sediment, and fish
to eat. Beneficial use impairments (BUIs) were established for environmental problems such as beach
closures, fish consumption advisories, dredging restrictions, and excess nutrients and sediment. These
beneficial use impairments were identified by stakeholders within Great Lakes coastal communities and
are analogous to ecosystem services. Ultimately, 14 possible BUIs are identified. Most AOCs identify the
presence of a subset of those 14 possible BUIs, though a few identify all 14 impairments.
SWFs
Ecosystem
mediated
processes
Community
revitalizabon
A FES
SWFs
(A) R2R
project
design
AOC delisted
A Ecosystem
benefits
A Biophysical
stale of the
ecosystem
Information for decision-makers:
SPA maps, tradeoff analyses, benefit tracking
Figure 18. Conceptual model for the use of ecosystem service mapping and associated analysis to
support decision making in an estuarine Great Lakes AOC. R2R = Restoration to Remediation; FES =
Final Ecosystem Services; BUI = Beneficial Use Impairment; SWFs = Social Welfare Function; SPA =
Service Provisioning Area.
Decision Context
This case study aims to expand existing AOC processes to include broad consideration of ecosystem
services, including engaging larger and different group of stakeholders, into decision making (Figure 18).
The goal of an AOC is to remove identified BUIs through sediment remediation, water quality
improvements, and aquatic habitat restoration. Each AOC must determine the management actions that
are needed to remove their BUIs, for example identify remediation sites, establish goals for combined
sewage overflow reductions or nutrient concentration, or determine the area and type of aquatic
habitat to be restored). Ultimately, the AOC is accountable for completion of all the identified
management actions to achieve removal of the identified BUIs. At this point, it may take multiple years
for the AOC to observe improvements from the management actions. Finally, after the AOC determines
that BUIs have been successfully removed (i.e., the BUI removal targets have been met), the AOC
petitions EPA for de-listing. The AOC program requires that each step (BUI identification, developing and
completing management actions, removing BUIs, and AOC de-listing) requires stakeholder input and
participation. The goal of this SHC research project is to incorporate ecosystem services into decision
making by providing information regarding how AOC decisions affect ecosystem services, but done in a
way to preserve the previously existing programmatic targets agreed upon from the AOC governance
structure.
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Objectives and Measures of Success
The objectives of this ecosystem services case study are to:
1)	Expand an explicit consideration of final ecosystem goods and services (FEGS) while preserving the
current, previously existing programmatic targets agreed to by EPA through the AOC governance
structure.
2)	Provide a forum for stakeholders to discuss direct and indirect connections between remediation or
restoration activities (or both) and ecosystem services.
3)	Conduct participatory mapping and co-development of spatially-explicit ecological production
functions to demonstrate how removal of BUIs can improve ecosystem services.
4)	Provide analysis results to stakeholders who provide comments on various trade-offs to decision
makers.
5)	Moving forward, better understand how spatial provisioning of ecosystem services and their
associated benefits can affect trade-offs.
Impact
Trade-off analysis provides information to stakeholders about how the remediation and restoration
projects will affect water quality, habitat, and human benefits from the site. It can provide information
about whether the project is meeting intended goals, and reveal conflicts between objectives. When
those trade-offs are mapped, information can be delivered on the importance of where a specific
ecosystem service or benefit will be provided. The spatial information is critical when thinking about
how people will use the restored site in the future.
Great Lakes Areas of Concern
Lake
Mariisilque River
St Marys River
Delisted before GLRI
Delisted during GLRI
A Management actions completed
during GLRI Action Plan I
Management actions targeted for
completion during GLRI Action Han R
£ Remaining Areas erf Concern
Menominee River
Kox River/ £
Lower Green Bay
Sheboygan Rtvi-t A
Milwaukee Estuary A
Waukegan Harbor^^
Saginaw River and Bay
NteLlke	0
Muskegon L ake	SI. Clair River
fc	Clinton River
SI Lawrence River
Kalamazoo River
River Raisin
"Grand Ca lumet River M aumee Rivei
Eigh teen Mile Creek	ynr
£	PiOsw ego River
Niagara RivesQ Rochester Embayment
Buff afo River
£ Detroit River
flfaouge River

^ wesque Isle Bay
Ashtabula River
October 30,2014
Figure 19. U.S. and bi-national Great Lakes Areas of Concern (Source: USEPA).
34

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Gulf of Mexico Coordinated Case Study
Pefdido
SSPoWll
agouia
Figure 20. Map showing sub-watersheds adjacent to Mobile Bay, AL
(Source: Mobile Bay National Estuary Program).
Issue
Mobile Bay is the drainage point for a 43,000 square mile watershed that covers portions of three states
(Figure 20). However, the quality and quantity of services provided by the Bay is greatly determined by
urbanization of land in smaller sub-watersheds along its edge (see map). Sub-watershed restoration is a
key objective in the management plan for the Mobile Bay National Estuary Program (NEP), including
improvements in stream water quality and shoreline health. Yet, these efforts are not currently
evaluated with respect to provision of EGS, or in the context of land-use change in the surrounding
landscape. Services provided to people are a key measure of success for restoration projects. The goal of
this ecosystem services case study research is to examine how planned and implemented restoration
activities contribute to EGS production and how that contribution might be impacted by changes in land
use.
Decision Context
Restoration activities are mandated by NEP goals and described in their Comprehensive Conservation
and Management Plan (CCMP), which is amended and updated every five years. Overarching goals of
restoration are to improve and maintain the quality of natural resources in the Mobile Bay watershed
with a focus on human benefit in six target categories: access; healthy beaches; fish abundance;
preservation of heritage and culture; promote ecosystem resilience; and maintain water quality.
Implementation of the CCMP requires that priorities be set and indicators of desired outcomes be
defined to allow for evaluation of resource investments. These indicators of success can be defined
based on EGS production and thus tie outcomes more directly to human benefit. In addition, value of
stream and shoreline restoration may be impacted by changes in the surrounding landscape that are
driven not by NEP priorities, but by municipal and county strategic planning. Impacts and outcomes of
NEP restoration activities should be evaluated in the context of landscape changes to allow for the most
realistic measure of restoration impacts.
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Objectives and Measures of Success
ORD researchers are working with Mobile Bay NEP staff and local municipalities to apply models and
tools that relate restoration changes to ecosystem service production and delivery at the subwatershed
scale. These are largely tools previously developed by researchers in other coastal watersheds (i.e.,
Tampa Bay, FL, Pensacola Bay, FL, Willamette River, OR). A secondary goal of the case study is to
evaluate transferability of select tools between ecosystems and decision contexts. Initially researchers
worked with stakeholders to define broad EGS-based objectives and measures of success facilitated by
the formation of an EGS working group sponsored by the Mobile Bay NEP. This group is working to
match EGS priorities to the priorities laid out in the current CCMP. In congruence with this effort is the
parameterization of key model-based tools for a target subwatershed to be used as a testbed for model
application. Initially, work is being conducted in the D'Olive watershed on the eastern shore of Mobile
Bay near Daphne, AL, a site of active NEP restoration. This work involves the parameterization of two
models. An ecohydrological model (Visualizing Ecosystem Land Management Assessments (VELMA);
Accessed 25, June 2018) will be used to assess the impact of land cover and land use on water quality
and fish habitat. Second, an EGS mapping tool (EPA H2Q; Assessed 25 June, 2018) will be used to
directly measure EGS production and delivery to beneficiaries in the subwatershed. Together, these two
tools will be used to assess impacts of restoration activities, as well as the interrelationship between
stream restoration and changes in land use/land cover.
The research objectives of the Mobile Bay CCS are to:
•	Work with community stakeholders to derive transferable measures of community well-being
and link them to the production of EGS that directly benefit the community.
•	Apply Structured Decision-Making (SDM) approaches to assist communities in identifying their
fundamental objectives.
•	Evaluate transferability of quantitative tools that link delivery of FEGS and community decisions
across communities.
•	Develop decision support based on these quantitative tools to evaluate specific actions
associated with fundamental objectives in multiple communities.
•	Examine similarities and differences across communities in the impact of community decisions
on available EGS and community well-being.
At the heart of this work is sound ecosystem science building upon past success in this discipline, within
the EPA and beyond, to ask how research conducted in specific communities translates to other
communities with similar issues and resources. This will include quantitative visualization models of EGS
production and delivery developed by EPA researchers to evaluate specific scenarios of community
change.
Impact
This exercise will directly inform future planning by the Mobile Bay NEP. The intended outcome is a
broader suite of success indicators that can be linked to multiple stakeholder objectives and better
support communities with complex issues and multiple stakeholder groups.
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Southern Plains Coordinated Case Study
Issue
In the Southern Plains area, many rural communities rely on and utilize ecosystem goods and services
every day to sustain and better their communities. Some of these communities rely heavily on ground
water sources as a significant source of municipal water supply while others with little to no access to
ground water sources choose to incorporate impoundments of varying sizes to not only provide source
water, but to improve numerous ecosystem services such as flood control, recreational activities,
irrigation, and wildlife habitat. These small communities have come to rely on these ground water
sources and impoundment systems to provide everyday benefits that help sustain their communities.
There are many challenges that potentially impact the ability of these systems to provide the services
that these communities have come to not only rely on, but in many cases, take for granted. Many of
these communities have purposely developed growth and sustainability plans to increase the
development potential and ultimately the economic viability of the local area to attract businesses and
people to the community. This growth, while good for the community, has impacts on the surrounding
area and the potential provisioning of the ecosystem services the community relies upon. Coupled with
the frequent conditions of protracted drought and interspersing flooding events, these communities
have a strong need to develop and implement community sustainability and resilience approaches that
look to understand how economic growth and climatic conditions impact the provisioning of the
ecosystem services that support their community viability.
As communities continue to grow, strains on resources increase. Often in the Southern Plains, these
resources are shared by multiple communities that have their own sets of needs and priorities that
rarely consider the needs and priorities of the other communities. This may not be a problem when
resource use is far below resource provisioning, but as greater demands on these resources have
increased, tension and disagreement about the use of these resources has created concerns between
communities that share resources. Developing approaches to provision and share resources between
two or more communities is rarely easy and is often contentious as the values and needs of the
communities often are at odds with one another. These are extremely difficult problems to address and
require approaches that are designed to address the multifaceted, multi-stakeholder planning processes
to develop community sustainability and resiliency plans that address the needs and values of all the
various stakeholder groups and identify the trade-offs these communities need to make to ensure their
sustainable coexistence.
Decision Context
The Southern Plains case study will focus on working with the City of Ada, Oklahoma. Ada is in Pontotoc
County, Oklahoma and has a population of approximately 17,000 people. The total area of Ada is 15.8
square miles, with the developed city occupying 12,655.81 acres (Figure 21). Ada is trisected by three
watersheds, with approximately 59 % in the Lower Canadian-Walnut watershed, 37 % in the Clear-Boggy
watershed, and 4% in the Muddy-Boggy watershed (Figure 22). While Ada is positioned at the bottom
third of the Lower Canadian-Walnut watershed, it is located at the headwaters of both the Clear-Boggy
and Muddy-Boggy watersheds. The watershed has a mixed land use - land cover comprised of both
urban and rural landscapes. The sole source water supply for Ada is the Arbuckle-Simpson Aquifer, and
is used as a water supply by the cities of Tishomingo, Durant, Sulphur, Mill Creek and Roff, OK.
Additionally, this aquifer supports numerous ecosystem services as it daylights and discharges in
numerous places supporting fisheries, wildlife, and recreation. Over time all these communities have
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grown and are continually looking to grow in the future, putting ever greater demands on the aquifer
and forcing these cities to starting looking at other options water resources.
MUDDY-BOGGY
CLEAR-BOGGY
Figure 21. Map showing the Arbuckle
Simpson Aquifer in relation to the City of
Ada (Source: USGS National Land Cover
Database).
Objectives and Measures of Success
Figure 22. Three watershed boundary dividing
lines encompassing the City of Ada (Source:
USGS National Elevation Dataset).
A key objective of EPA's SHC research program is to provide decision tools to help those involved with
community-based decision making design and choose more sustainable policies and practices that
incorporate the concerns, needs, and interests of a broad and diverse range of stakeholders. One of
those developing tools is the web-based application Decision Analysis for a Sustainable Environment,
Economy, and Society (DASEES). The DASEES application is being used to assist communities in a
relatively new practice of 'resiliency planning'. Communities such as Ada, OK that share common
ecosystem services such as water supply with multiple communities, have need for assistance in
resiliency planning that support and facilitate shared cooperation to address issues including changing
climatic conditions (e.g., drought, flood), water resource planning and management, contaminated
runoff, sediment impact on water impoundments, and expected population increases with community
development expansion. The problems and challenges are known, but the approach to address them is
complicated. The Southern Plains case study is being developed to incorporate broad stakeholder
involvement from the very start of the project effort using the DASEES process to help the City of Ada to
plan for future development and address the challenges of shared resources (e.g., water, land use)
impacted by drought and floods.
ORD researchers will use the DASEES process to assist the City of Ada and other identified stakeholders
with interest in developing community sustainability and resiliency plans. The DASEES five-step iterative
decision process is designed to: 1) understand the decision context; 2) define objectives; 3) develop
options; 4) evaluate options; and 5) take action.
Impact
Lessons learned from the City of Ada with the DASEES structured decision-making approach wili be used
to apply a management plan to ensure the long-term sustainability and resiliency for Ada that may serve
as a model for use by other communities with shared resources that may be facing similar sustainability
and resiliency issues as well.
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oEPA
United States
Environmental Protection
Agency
Office of Research
and Development
(8101R)
Washington, DC
20460
EPA/600/R-18/183
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