Developing ecosystem value indicesThe Basis <strong>of</strong> an Indicator SystemThe conceptual basis <strong>of</strong> the proposed indicator system is a widely used analytical tool calleda production function. 36This is a relationship that shows how the quantity and composition <strong>of</strong> theoutputs <strong>of</strong> a productive process are related to the quantity and composition <strong>of</strong> inputs that are used inthe process. Production functions are at the core <strong>of</strong> most economic studies related to industrial,agricultural, and manufacturing operations. They are also the source <strong>of</strong> many indicator systems thatare used to determine the risks and potential pay<strong>of</strong>fs from corporate investment portfolios. Theavailability <strong>of</strong> inputs and the likely effects <strong>of</strong> controllable and uncontrollable risks on the availability<strong>of</strong> inputs are critical determinants <strong>of</strong> how reliable and how valuable a productive process is. Rules <strong>of</strong>“comparative advantage”, “marginal value product”, and “derived asset value” are all based on theconcept <strong>of</strong> the production function. 37Mathematical production functions are usually based on underlying engineeringrelationships, but many times they include uncontrollable relationships related to natural systems. Infisheries and agriculture, for example, many <strong>of</strong> the input categories that are used in productionfunctions are natural and uncontrollable and are frequently represented by indicators (e.g., soilproductivity, fish abundance, weather). 38Production functions that treat ecosystem services as anoutput and on-site and <strong>of</strong>f-site indicators <strong>of</strong> resource conditions as inputs are not much different fromother forms <strong>of</strong> production functions. In the indicator system that is introduced here, on-site inputs areassumed to affect the capacity <strong>of</strong> the site to provide functions and certain <strong>of</strong>fsite or landscape inputsdetermine the “rate <strong>of</strong> capacity utilization.” Other landscape indicators reflect the likelihood that thefunctions provided at the site will generate services, that the services will have value, and that the flow<strong>of</strong> services is sustainable.Types <strong>of</strong> IndicatorsAccepting the premise that the economic value <strong>of</strong> an ecosystem is derived from theeconomic value <strong>of</strong> the services it is expected to provide over time has some clear implications forvalue-based indicator development. It means that the effort should focus on forecasting, not on363738The concept <strong>of</strong> the production function as a general relationship between inputs and outputs isdescribed in all standard microeconomics texts (e.g., Samuelson and Nordhaus1995, elementary;Mankiw 1997, elementary; and Varian 1992, intermediate). Clark (1976) describes the use <strong>of</strong>mathematical production functions in natural resource industries where the results <strong>of</strong> natural processesprovide a basis for developing indices <strong>of</strong> critical inputs.One production process is said to have a “comparative advantage” over another if it can provide thenecessary conditions for production at a lower cost. The “marginal value product” <strong>of</strong> an input (MVP)is the incremental increase in the output that results from an incremental increase in the use <strong>of</strong> theinput multiplied by the price <strong>of</strong> the output; inputs are usually purchased until the MVP declines to theinput price level. “Derived asset value” refers to the fact that the economic value <strong>of</strong> an asset can beestimated as the sum <strong>of</strong> the net economic value <strong>of</strong> the stream <strong>of</strong> services it is expected to provide overtime discounted to their present value.The production function used in fisheries, for example, is referred to as the classic catch equation(C=qEP) and includes three indices representing; fish abundance (P), the catchability <strong>of</strong> fish and thepower <strong>of</strong> fishing gear (q), and fishing effort (E). A description <strong>of</strong> bioeconomic production functionsand the characteristics <strong>of</strong> capital and resource indicators in them is provided in Clark (1976).132
description, and that the usefulness <strong>of</strong> descriptive indicators depends on what clues they provide aboutfuture service flows and their values. It also means that indicators <strong>of</strong> potential adverse changes in siteor landscape conditions are important because they reflect the likelihood <strong>of</strong> service flow disruptions.This focus on forecasting service flows rather than describing ecosystem conditions distinguishes theproposed indicator system from most other ecosystem indicator systems. 39Box 7.6 lists the basic questions that are addressed by the indicator system. The followingtopics summarise the types <strong>of</strong> information used within the indicator system to answer these questions.On-site features – biophysical characteristics that determine if the wetland has the capacityto provide particular functions.- Characteristics <strong>of</strong> vegetative cover.- Characteristics <strong>of</strong> soil and topography.- Characteristics <strong>of</strong> hydrology.Landscape context – <strong>of</strong>f-site features that determine:- How much <strong>of</strong> a wetland’s functional capacity will be utilised- Whether functions that are performed will generate services- How valuable the services that are generated will be- The likelihood <strong>of</strong> service flow disruptionsComponents <strong>of</strong> landscape context include:- Topographical characteristics – adjacent and nearby hydrological/ geological features(e.g., upslope/downslope gradients, proximity to water bodies, floodplains)- Habitat characteristics – connectedness to fish, wildlife, fur-bearer habitats (e.g.,flyways, wildlife corridors, other wetland areas)- Man-made characteristics – proximity to residential, commercial, industrial land uses,including proximity to roads, parking lots, right <strong>of</strong> ways, etc.- Demographic characteristics – size, age, mobility, ethnicity, and geographic distribution<strong>of</strong> human populations that benefits from specific wetland services.- Socioeconomic characteristics – income, assets, and other characteristics <strong>of</strong> thepopulation that benefits from specific wetland services.- Scarcity <strong>of</strong> services – the overall abundance <strong>of</strong> wetland services in the region and theavailability <strong>of</strong> similar services in nearby regions. All other things equal, fewer perfectand near-perfect substitutes mean higher “willingness to pay” per unit service.- Scale <strong>of</strong> services – the size <strong>of</strong> the population that has access to the service. All otherthings equal, the greater the number <strong>of</strong> people with access to wetland services the greaterthe economic value <strong>of</strong> the services.39A description <strong>of</strong> environmental indicators and how they can be used is provided in Hammond, et al(1995). A review <strong>of</strong> numerical indicator systems used to assess and compare ecosystems and theirpotential applications in forecasting ecosystem service flows is provided in King (1997b).133
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«ENVIRONMENTValuation ofBiodiversi
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ORGANISATION FOR ECONOMIC CO-OPERAT
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TABLE OF CONTENTSPART 1 ...........
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PART 4 ............................
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Why value biodiversity?There are th
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Figure 1.1 Total economic value: us
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from biodiversity at the local leve
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in the database and also for undert
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in the policy context. This is high
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Table 1.3 Policy Options for the Cl
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Box 1.2 Value of Turkey’s Forests
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of the most important implications
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Additionally, valuation does not ju
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value is the habitat, many differen
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are very modest. More recently, new
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Table 2.2 Estimates of the Medicina
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The importance of indirect use valu
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pharmaceutical use, although the li
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McAllister, D., (1991). Estimating
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Simpson, D and Craft, A.. (1996).
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practice, the overlap between these
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aimed at giving more precise quanti
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structural values. There are a numb
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Reid (forthcoming) discusses the po
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Ecotourism as a Way to Generate Loc
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endangered Indian rhino and other t
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ReferencesBann, C., and M. Clemens
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PART 261
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many European countries, CBA has a
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(1) Cost and time constraintsThe co
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activity day, there is greater vari
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added independent variable C s= cha
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error in valuing respiratory sympto
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ReferencesArrow, K.J., R. Solow, E.
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OECD (1995). The Economic Appraisal
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- Page 75 and 76: linkages usually lead to diverse co
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- Page 167 and 168: ReferencesAkcakaya, H.R. (1994).
- Page 169 and 170: de Groot, R.S. (1994). “Environme
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John A. DixonJohn A. Dixon is Lead
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Robert O’NeillDr. O’Neill recei
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Steven StewartSteven Stewart is Ass
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OECD PUBLICATIONS, 2, rue André-Pa