In this subsection:

Work in Progress
Flow of Benefits Indicator Logic
Illustration of Non-Monetary Indicators
Strengths and Weaknesses Non-monetary Indices
Underlying Logic of Non-Monetary Values
Sources of Landscape Level Information

In this Section:

Home Overview

Part I

Introduction to Relative Ecosystem Valuation

Part II

The Basics of Ecosystem Value Indices

Part III

Conservation Management Indicators

Part IV

Development of Economic Value Indictors

Part V

More Indicator Development and Illustrations



Introduction to Relative Ecosystem Valuation

The Big Picture

Role of NRCS Benefit Estimation in USDA Conservation Programs


provide policy-makers with "value-free" facts

Special Interest

spin influences what people think is "valuable"

NRCS Benefit Estimation

also influences perceptions of "value"


all goes through . . .

The Political Grinder

chews up facts, special interest spin, and objective benefit estimation and spits out.....policy.


Figure 4

Policy-makers need information about FACTS and VALUES to make effective environmental investment decisions. Those who control federal and regional environmental spending (e.g., green payments) have access to three sources of information about FACTS and VALUES. Scientists work to provide them with as much "value-free" information as possible about the FACTS. Interest groups spend to provide them with their spin on VALUES. NRCS benefit estimation provides them with a source of unbiased information about VALUES. As difficult and controversial as value-based research is, it is the only objective source of information that policy-makers have about VALUES. Often it is the only credible basis for opposing the interpretations of VALUES provided by special interests, and the only basis for preventing wasteful environmental investments.


This Section is to assist field staff in the development of conservation benefits indicators and criteria to rank environmental investments based on expected environmental benefits. The section does not provide specific sets of indicators or even specific methods for indicator development.  We recommend that this section be used as a tutorial for NRCS to better understand currently proposed methods for assessing relative ecosystem value in non-monetary terms.  We encourage feedback on the usefullness of the approaches presented.

Until a comprehensive system and applying conservation benefit indices is developed, this section is for general reference purpose on concepts and methods for developing environmental benefits indicators.

Overview of Relative Ecosystem Values

To get an idea of the potential application of indicators of relative ecosystem value consider the nine conservation alternative depicted in Figure 1a. Applying any of the three practices at any of the three sites may be worthwhile.  However, assume that "green payments" are available to fund only one of the practices at one of the sites. Suppose further that each of the nine alternative costs about the same.  The question then would be: Which conservation practice at which site would provide the greatest benefits ?  The indicators outlined in this section will help answer this question.

Which alternative will provide the greatest environmental benefits?

The types of indicators described in this section will help answer this question.

Clues about Relative Value Indicators

A clue as to how relative value indicators are developed and can help is provided in Figure 2.  It puts the Sites shown in Figure 1 in their respective landscape contexts. A site's landscape context, quite apart from its onsite characteristics, has significant impact on the values it provides. And landscape context does not only include the proximityof the site to other natural features.  It includes its proximity to man-made features of the landscape, to people, and to problems caused by people.  As subsequent sections will show the landscape context of an ecosystem, in its broadest sense, includes many factors that determine the mix of functions and services it will provide, who has access to them,  how scarce they are, how useful they are, how replacable they are, and so on.


Another Clue about Relative Value Indicators

To further illustrate the basis oft the indicators described in this section assume that you are asked to conserve or restore one of the two wetland areas depicted in Figure 3. The two wetland sites are shown to be identical in size and shape, and, for purposes of illustration, assume that they are also identical in terms of biophysical characteristics (e.g., soil, hydrology, and vegetative cover).  Based on site conditions alone, therefore, the benefits from investing at both wetland sites would appear to be identical. However, a careful look at the different landscape contexts of the two wetlands provide many clues that investing in the wetland at Site A would be far more "valuable" than  investing in the wetland at Site B.  The challenge of developing relative value indicators, in this case, is to quantify the observable differences in ways that reflect what we know about the landscape factors that enhance or inhibit the flow of benefits from a wetland.

figure 3

Site A

Site B

-near the coast, downstream is a beach area

-slightly off the coast, downstream is industrial site

-adjacent to large, healthy shellfish grounds

-adjacent to fishing port and small shellfish beds that are accessible to the community that are contaminated and remote

-upslope is agricultural land (nutrient runoff)

-upland is forest (no nutrient runoff)

-wildlife corridor open from the North

-wildlife corridor is blocked by Highway 66

-near residential areas (aesthetics, scenic)

-nearby industrial sites (no proximity to people)

-good access, adjacent public lands

-poor access, surrounded by private lands

-access to many urban poor people

-access to few suburban rich people

Indicators described in the folowing sections illustrate why conserving or restoring a wetland at Site A would provide far greater environmental benefits than conserving or restoring a wetland at Site B.

Building Blocks

Investing in the environment (Natural Capital), like investing in children (Human capital) or highways (Manufactured Capital), produces public benefits in many "roundabout" ways. For example, investments that reduce nutrient deliveries to nearby water bodies may result in more Algae and Submerged Aquatic Vegetation (SAV) and generate pathways of benefits as depicted in Figure 6. Measuring effects of specific investments on each pathway of benefits may be difficult or impossible. However, "leading indicators" can be used to determine the likelihood that a specific investment will contribute to certain benefits.

The indicator development tools presented in this Section are based on three conventional concepts that are central to most economic analysis:

the level of expected environmental service as a function of on-site inputs -farm features - and offsite inputs –the landscape context of the farm
the relative value of a unit of environmental service provided at a site as a function of overall regional supply and demand conditions for the service and relative preferences for services
adjustsment to the expected level and value of services to account for the vulnerability of onsite and offsite inputs to natural and man-made stressors that could disrupt future service flows.


Strengths and Weaknesses of Non-monetary Indices
Can focus on necessary conditions to provide services
Can be based on conventional tool – the production function
Can reflect factors that determine aggregate ‘willingness to pay’
Can reflect risks of service flow disruptions
Can be site-based and take account of landscape context
Can be used as ‘benefit-transfer’ method if $$ estimates exist
Can be used to compare environmental assets for trading
Can be used for prioritizing environmental investments
Similar to indicators that decision-makers use everywhere else
Ppractical because of GIS and Web
Can reflect relative preferences for mix of services
Cannot be used in conventional benefit-cost analysis
Not very useful for justifying increases in levels of $ spending
Generally unpopular with economists, scientists, & policymakers
Requires some decisions that will appear to be arbitrary
Requires acceptance as better than $$ and better than nothing
Requires up-front investments in data collection/software


Underlying Logic of Non-Monetary Value Indicators

The indicators described in this section focus primarily on differences in landscape context of environmental investment sites as a basis for ranking them in terms of their expected environmental benefits. The logic behind this type of indicator system is based on four testable hypotheses:

Four Testable Hypotheses

#1 The landscape context of an ecosystem includes its proximity to natural features (e.g., shellfish beds, floodplains), to man-made features (e.g., roads, drainage ditches, to people (e.g., cost of access, availability of substitutes), and to problems caused by people (e.g., endangered species, nutrient runoff, siltation). Generally available data related to landscape context could be used to develop leading indicators of the relative economic value of specific ecosystem services.
#2 Natural, man-made, topographic, and demographic features of the landscape are not uniformly distributed across most watersheds.  There will be meaningful differences in landscape indicators that will provide a basis for assessing ecosystem tradeoffs on the basis of the ecosystem’s capacity to provide a service and the economic value of the service.
#3 Demand indicators based on individual and community preferences for specific ecosystem services (expressed, revealed or imputed) can be combined with Supply indicators based on the abundance, availability, and vulnerability, and substitutability of specific ecosystem services to provide a reliable basis for assigning relative weights to ecosystem services.  The weighted sum of service values for different ecosystem types and ecosystem areas provides a meaningful basis for making “value-based” comparisons.
#4 Differences in the supply and demand for services provided by ecosystems in various landscape contexts and in the relative weights assigned to those services provide a practical and scientifically defensible basis for ranking the expected economic payoffs from ecosystem improvements.  These can provide a basis for developing ranking criteria to guide spending on USDA conservation programs to those projects and areas where they will have the greatest environmental and economic benefits.


Sources of Landscape Level Information

Resources to support indicator development include topographical maps, soil maps, land use maps, natural resource and habitat maps, and demographic and socio-economic data. With some up-front investments in GIS applications the benefit indicators related to specific environmental services that would result from environmental investments at a particular site could be accessed merely by providing the zip code or lat./long. coordinates of the site. 

Methods of incorporating information about public preferences for various environmental services (service weights) are not discussed here.  However, they include various types of non-dollar valuation surveys, the use of consensus-building or focus groups, and citizen “valuation” juries.


Coastal Zone Scenic and Wild River Plans
Shoreline and Shore Land Green Way
Floodplain Water Quality
Environmental Corridor Critical Area
Local Land Use Watershed Restoration

Parcel/Plot Information

Parcel Ownership Use of Parcel
Property Value Taxes
Zoning Easements/Restrictions
Utilities Available

Regional Survey Results

Regional surveys of Outdoor Recreation: participation rates, willingness to pay, etc.
Regional surveys of Preferences for Environmental Amenities.

Click for a Checklist of data resources.


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