Diversity at the ecosystem levelThe majority <strong>of</strong> CV studies that focus on biodiversity at the ecosystem level link it directlyto the non-use or recreational valuation <strong>of</strong> habitat protection programs. The main reason for this link isprimarily the difficulty associated with defining such an abstract concept as ecosystem diversity in asurvey. Indeed, some CV studies indicate that the concept <strong>of</strong> biodiversity is ill understood among thegeneral population (Hanley et al. 1995). A number <strong>of</strong> valuation studies have also attempted to valuebiodiversity conservation policies through other methods. Generally, we find studies that focus onecosystem functions and the value assessment <strong>of</strong> life-support, soil and wind erosion, or water qualitybenefits. Some <strong>of</strong> these studies are listed in Table 8.6.During the 1980s many contingent valuation studies dealt with the measurement <strong>of</strong> thenon-use benefits derived from the conservation <strong>of</strong> national parks and nature reserves - see Bennett(1984) and Richer (1995). The valuation applications continued through the 1990s – see Silberman etal. (1992), Batemann et al. (1992), and Hoehn and Loomis (1993) – but now also tackling thevaluation <strong>of</strong> non-use benefits <strong>of</strong> coastal and wetland habitats. Silberman et al. estimated the existencevalue for users and non-users <strong>of</strong> New Jersey beaches. The results show that the mean WTP for a useris about $15.1 per year, while the mean WTP for a non-user is about $9.26 per year. Batemann et al.(1992) undertook a contingent valuation to assess the monetary value <strong>of</strong> conserving the NorfolkBroads, a wetland site in the UK with three National Nature Reserves. A mail survey across Britainshowed that non-visitor respondents were willing to pay, on average, 4 pounds (circa $8) for an annualand once-for-all-payment. More recently, Nunes (2000) used the CV method for the first time inPortugal to assess the national WTP for the protection <strong>of</strong> a coastal natural area. The mean WTP resultsranged from $40 to $51 also for an annual and once-for-all-payment.In the recreation domain, the World Tourism Organisation (WTO 1997) estimated thatEcuador earned $255 million from eco-tourism in 1995. A major part came from a single park, theGalapagos Islands. Studies <strong>of</strong> less popular areas indicate lower values. The recreational value <strong>of</strong> aRegional Forest Park in Belgium was estimated to be around $23 per trip (Moons 1999). Norton andSouthey (1995) calculated the economic value <strong>of</strong> biodiversity protection in Kenya by assessing theassociated opportunity costs in terms <strong>of</strong> forgone agricultural production, which is estimated to be$203 million. This value can be compared with $42 million in net financial revenues from wildlifetourism and forestry. More recently, Chase et al. (1998) studied the eco-tourism demand in CostaRica. The value estimates result from the survey <strong>of</strong> foreign visitors to three national parks: VolcanIrazu, Volcan Poas, and Manuel Antonio. The highest WTP registered was about $25 per visitor peryear for the Manuel Antonio national park.When it comes to the monetary valuation <strong>of</strong> ecosystem functions, CV may not be the firstmethod <strong>of</strong> choice. This is because ecosystem life support is not an issue familiar to the general public.In addition, the complexity <strong>of</strong> the relationships involved makes an accurate and comprehensive surveydescription more difficult. Researchers frequently end up using other valuation methods such asaverting behaviour, production function, or hedonic pricing. In 1991, Andreasson-Gren (1991)estimated the costs <strong>of</strong> nitrogen abatement via wetlands restoration with the market costs associatedwith the use <strong>of</strong> standard abatement technologies. The estimated nitrogen purification capacity <strong>of</strong>wetlands was based on the results <strong>of</strong> a Swedish island in the Baltic Sea, Gotland. According to thestudy results, the total value <strong>of</strong> a marginal increase in nitrogen abatement on Gotland was about SEK968 per kilogram. Turner et al. (1995) addressed the valuation <strong>of</strong> a wetland ecosystem in the Swedishisland in the Baltic Sea exploring the use <strong>of</strong> the production function method. Their value estimationsconfirmed that a considerable amount <strong>of</strong> additional energy would be necessary to the production <strong>of</strong>substitute market goods in order to replace the loss <strong>of</strong> the wetland life-support functions – see resultsin Table 8.6. Ribaudo (1989) is responsible for one <strong>of</strong> the most comprehensive studies valuing waterecosystems. The author valued the economic benefits from the reduction in the discharge <strong>of</strong> pollutants171
in waterway systems for nine impact categories: recreational fishing, navigation, water storage,irrigation ditches, water treatment, industrial water use, steam cooling, and flooding. <strong>Benefits</strong> weredefined in terms <strong>of</strong> changes in defensive expenditures 66 , changes in production costs, or changes inconsumer surplus, depending on the damage category and the availability <strong>of</strong> data. The total waterquality benefits were estimated to be $4.4 billion.Integrated ecological-economic modelling and valuation <strong>of</strong> biodiversityEconomics – Ecology interfaceThe analysis and the modelling <strong>of</strong> biodiversity are rooted in both natural and social sciencesand thus imply the study <strong>of</strong> human economic activities, their relationship to biodiversity and thestructure and functions <strong>of</strong> ecosystems. The combination or integration <strong>of</strong> the two approaches implies asomewhat qualitative, formal, sequentially integrated framework. Interdisciplinary work involveseconomists or ecologists transferring elements or even theories and models from one discipline toanother and transforming them for their specific purpose (Perrings et al. 1995). The underlyingobjective <strong>of</strong> this approach is the development <strong>of</strong> a common way <strong>of</strong> thinking about modelling andvaluation <strong>of</strong> biodiversity. For instance, if economic and ecological models fit in a general systemframe, then they may be blended in a single model structure where compartments or modules mayrepresent the original models and certain outputs <strong>of</strong> one module serve as input for another.Nevertheless, it is not <strong>of</strong>ten easy to link models directly. Alternatively, if both the economic andecological systems are represented in the form <strong>of</strong> programming or optimisation models then severaloptions are available: look for a new, aggregate objective; adopt a multi-objective or conflict analysisframework; or, when possible, derive multiple sets <strong>of</strong> optimality conditions and solve thesesimultaneously. Finally, when economic and ecological systems are represented by different modeltypes, it is harder to suggest how they can be linked to one another. Where economic models have anoptimisation format and ecosystem models have a descriptive format, then a direct technicalintegration seems feasible, otherwise heuristic approaches are needed. This may require operationssuch as reduction, simplifying or summarising. For example, one can come up with a simple dynamicmodel summarising and simplifying some <strong>of</strong> the causal relationships <strong>of</strong> the spatial hydrological modeland the statistical vegetation model, and linking the outcomes to a simplified economic interaction andvalues model.Before discussing specific methods and models it is useful to briefly analyse the pros andcons <strong>of</strong> integration frameworks and respective conceptual perspectives. These are discussed in thefollowing section.Integrated modelling and assessmentA general method to develop integrated models is a systems approach (also ‘systemsdynamics’). This covers a wide range <strong>of</strong> model types: linear versus non-linear, continuous versusdiscrete, deterministic versus stochastic, and optimising versus descriptive. Such system approachesallow one to deal with concepts like ecological dynamic processes, feedback mechanisms, andcontrolling strategies (see Bennett and Chorley 1978; Costanza et al. 1993). One can integrate twosubsystems, or have a hierarchy or nesting <strong>of</strong> systems. The systems approach is suitable for integratingexisting models and incorporating temporal as well as spatial processes. Costanza et al. distinguisheconomic, ecological and integrated approaches on the basis <strong>of</strong> the following criteria: (1) generality,66These are expenditures incurred with the purchase <strong>of</strong> market goods with the goal to mitigate theexternality <strong>of</strong> flooding, e.g. river silp up activities.172
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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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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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CHAPTER 5:by José Manuel LIMA E SA
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linkages usually lead to diverse co
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A discrete choice approach to quest
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Table 5.2 Model-based point estimat
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P3 is already in the mix is 2.51, s
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measures of value. An appendix to t
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features (such as parks, beaches or
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included in cost-benefit analysis o
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Satellite AccountsIn addition to th
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which many people argue are associa
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approach to competing uses of water
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Figure 6.2 Trade-Off AnalysisEnviro
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Appendix 1: Theory and Application
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complete. If there are more than on
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- Page 169 and 170: de Groot, R.S. (1994). “Environme
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