average in every way, for example, an increase in functional capacity <strong>of</strong> 10% would be expected toresult in a similar 10% increase in expected levels <strong>of</strong> function, service, and value. (.1 X 1 X 1 X 1= .1)Now consider Site A and Site B in Figure 7.1 and assume that Site A is in a location that is20% above average in every way and that Site B is in a location that is 20% below average in everyway. Since we assumed that the size, shape, and biophysical characteristics <strong>of</strong> Site A and Site B arethe same they would rank the same in terms <strong>of</strong> functional capacity, and an investment to achieve a10% increase in functional capacity at both sites would yield the same on-site results and cost aboutthe same. However, because Site A is 20% above average in every way, a 10% increase in functionalcapacity at that site would result in a 12% increase in function, a 14% increase in service, and a 17.3%increase in value (.1 X 1.2 X 1.2 X 1.2 = .173) (see Figures 7.2 and 7.3). Similarly, since Site B is20% below average in every way the same 10% increase in on-site functional capacity would result inonly an 8% increase in function, a 6.4% increase in service, and a 5.1% increase in value (.1 X .8 X .8X .8 =5.1) (see Figures 7.2 and 7.3). This implies that investments aimed at improving functionalcapacity at Site A would result in 340% more economic value than similar investment at Site B. 42 Italso implies that allowing wetland mitigation trading that involved gaining an acre <strong>of</strong> wetland at Site Band losing an acre <strong>of</strong> wetland at Site A would result in an economic loss <strong>of</strong> 340% even though the sitesthemselves are identical.Value-based analyses such as this could support significant changes in the way ecosystemsare compared. In the case <strong>of</strong> wetland mitigation trading, for example, gains and losses are frequently“scored” using area measures or biophysical measures that reflect functional capacity. In suchinstances, wetland acreage at Site A and Site B in Figure 7.1 would be considered an even trade.However, if trading rules were designed to achieve “no net loss” <strong>of</strong> wetland value, the trading rules,based on the indicator system outlined above, would require a “compensation ratio” <strong>of</strong> at least 3 or4 acres <strong>of</strong> wetlands at Site B to compensate for each 1 acre <strong>of</strong> wetland lost at Site A. 43Specification and Measurement <strong>of</strong> IndicatorsFunctional Capacity IndexThe Functional Capacity Index reflects the capacity <strong>of</strong> the site to provide a particularfunction independent <strong>of</strong> its landscape context. It is based on biophysical characteristics <strong>of</strong> the siteincluding soil, topography, vegetative cover, and hydrology. The approach described here assumesthat an accepted ecosystem assessment method has been used to “score” sites in terms <strong>of</strong> theirfunctional capacity. The recently developed “hydrogeomorphic” or HGM method <strong>of</strong> assessing4243The 340% difference her results because the indicators are designed to be multiplicative. For example,if one site provides 20% more services than another and each unit <strong>of</strong> service provided is worth 20%more than at the other site the difference in the value <strong>of</strong> services at between the sites is 44% (1.2 X1.2). In the illustration Site A is 20% above average with respect to four multiplicative indicators andSite B is 20% less than average in each indicator category. As a result Site A achieves a cumulativevalue <strong>of</strong> 1.73 (1 X1.2X1.2X1.2) and Site B attains a value <strong>of</strong>, 51 (1X0.8X0.8X0.8); using thedifferences in these indicator scores Site A is 340% more “valuable” than Site B ((1.73 – 0.51) / 0.51).In wetland mitigation the phrase “compensation ratio” is used to refer to the number <strong>of</strong> acres <strong>of</strong>created, restored, or enhanced wetland areas required to <strong>of</strong>fset the loss <strong>of</strong> one acre <strong>of</strong> natural wetland.An economic interpretation <strong>of</strong> these ratios and a formula for estimating them using a net present valueformulation is presented in King et al (1993).136
wetlands, for example, results in Functional Capacity Indicators (FCIs) for around ten wetlandfunctions from sediment and nutrient trapping to waterfowl habitat. 44Figure 7.2 Illustration <strong>of</strong> Indicator Development for Site A and Site BPrototype indicatorsEach site is ranked for each <strong>of</strong> three wetland functions using four sub-indices that range from 0 to 2around an “average” value <strong>of</strong> 1. For a site that is average in every way, an x% change in functional capacityis expected to result in an x% change in functions, services and values.Site A and Site B have the same functional capacity. However, the landscape context <strong>of</strong> Site A isabove average in every way and the landscape context <strong>of</strong> Site B is below average in every way. In thisillustration, Site A is assumed to be 20% above average (Indices <strong>of</strong> 1.2 in all categories) and Site B isassumed to be 20% below average (Indices <strong>of</strong> 0.8 in all categories).Relative value <strong>of</strong> Site A and Site BWildlife habitat Fishery support Nutrient trappingSite A Site B Site A Site B Site A Site BFunctionalCapacityIndexCapacityUtilisationSub-indexServiceCapacitySub-indexValue OfServiceSub-indexRisk OfServiceSub-indexIdentical size,shape,bio-physicalcharacteristicsScore: 1.0Wildlife Corridoropen from NorthScore: 1.2Near residentialareas,accessible, publiclandScore: 1.2Accessible toresidentialpopulationScore 1.2Ag land in agpreservationdistrict (corridorremains open)Score 1.2Identical size,shape,bio-physicalcharacteristicsScore: 1.0Wildlife Corridorblocked fromNorth byHighway 66Score: 0.8Surrounded byindustrial sites,inaccessible,private landScore: 0.8Access limited t<strong>of</strong>ew richScore: 0.8Forest zoned fordevelopment(habitat likely todecrease)Score 0.8Identical size,shape,bio-physicalcharacteristicsScore: 1.0Traps agriculturalsediment, nearcoast, adjacent t<strong>of</strong>ishing groundsScore: 1.2Adjacent to largehealthy shellfisharea, publicaccess, nearbyparkingScore: 1.2Aestheticrecreationalopportunities formany poorScore: 1.2Local area is builtout – no newsources <strong>of</strong>sedimentScore 1.2Identical size,shape,bio-physicalcharacteristicsScore: 1.0Identical size,shape,bio-physicalcharacteristicsScore: 1.0Little sediment to Upslope is farmtrap, <strong>of</strong>f the land generatingcoast, adjacent to nutrient flow,boat channelScore: 0.8Few shellfishnearby, littleaccess if therewere, near pointsource dischargeScore 0.8Access limited t<strong>of</strong>ew richScore: 0.8Any futuredevelopment willgenerate moresediments(developedreplaces forest)Score 0.8natural waterflow, non-pointdischargeScore: 1.2Adjacent to largehealthy shellfisharea, publicaccess, nearbyparkingScore: 1.2General waterqualityimprovements,and adjacent tohealthy shellfisharea, accessibleto poorScore: 1.2Newdevelopmentupstream wouldbe on sewerScore 1.2Identical size,shape, bio-physicalcharacteristicsScore: 1.0Upslope isindustrial sites andforests (littlenutrients)channelized waterflow to pointdischarge Score:0.8Few shellfishnearby, little accessif there were, nearpoint sourcedischargeScore 0.8General waterqualityimprovements onlyScore: 0.8Futuredevelopment onsepticScore 0.844The “hydrogeomorphic” or HGM wetland assessment method results in wetland functional capacityindicators that take very little account <strong>of</strong> landscape context in determining expected levels <strong>of</strong> wetlandfunction, and no account <strong>of</strong> how landscape context affects wetland services and values. The authorsare involved in research to extend the HGM method using many <strong>of</strong> the concepts and applicationsdescribed in this paper. We are estimating prototype indicators to assess gains and losses associatedwith actual wetland mitigation trades in the state <strong>of</strong> Florida.137
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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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CHAPTER 5:by José Manuel LIMA E SA
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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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- Page 173 and 174: Turner, R.K., Perrings, C. and Folk
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Steven StewartSteven Stewart is Ass
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