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Using Habitat Equivalency Analysis to Assess the Cost Effectiveness of Restoration Outcomes in Four Institutional Contexts

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Abstract

At the national level, with a fixed amount of resources available for public investment in the restoration of biodiversity, it is difficult to prioritize alternative restoration projects. One way to do this is to assess the level of ecosystem services delivered by these projects and to compare them with their costs. The challenge is to derive a common unit of measurement for ecosystem services in order to compare projects which are carried out in different institutional contexts having different goals (application of environmental laws, management of natural reserves, etc.). This paper assesses the use of habitat equivalency analysis (HEA) as a tool to evaluate ecosystem services provided by restoration projects developed in different institutional contexts. This tool was initially developed to quantify the level of ecosystem services required to compensate for non-market impacts coming from accidental pollution in the US. In this paper, HEA is used to assess the cost effectiveness of several restoration projects in relation to different environmental policies, using case studies based in France. Four case studies were used: the creation of a market for wetlands, public acceptance of a port development project, the rehabilitation of marshes to mitigate nitrate loading to the sea, and the restoration of streams in a protected area. Our main conclusion is that HEA can provide a simple tool to clarify the objectives of restoration projects, to compare the cost and effectiveness of these projects, and to carry out trade-offs, without requiring significant amounts of human or technical resources.

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Notes

  1. Trustees are representatives of the public as a whole in defending the environmental interests of the population. They can be an environmental administration, a tribal party, a county, etc.

  2. Today, the criteria for ranking are well defined, but this was not the case at the end of the 80 s. Up to now, restoration projects are approved for consideration if they have the potential to achieve a quantifiable increase in one or more of the injured resources, and if there is sufficient information about the project to (a) evaluate it and (b) enable its implementation within the next 12 months. Next they are ranked according to 6 “qualitative” criteria: cost, amount of ecological improvement in DSAYs, probability of success, potential collateral losses, number of targeted ecosystem services, and effects on public health and safety.

  3. Especially during the Exxon Valdez legal procedure, which lasted 20 years and wasted a lot of public time and effort as well as a great deal of money (1.3 milliards US$ 1991) without any resulting action.

References

  • Arrow KJ (1993) Contingent valuation of nonuse values: observations and questions. In: Hausman JA (ed) Contingent valuation—A critical assesment. North Holland, Amsterdam, pp 479–484

    Google Scholar 

  • Arrow KJ, Solow R, Portney PR, Leamer EE, Radner R, Schuman H (1993) Report of the NOAA panel on contingent valuation. 58 Federal Register 4601

  • Aulert C, Provost P, Bessineton C, Dutilleul C (2009) Les mesures compensatoires et d’accompagnement Port 2000: retour d’expériences. Ingénierie N° Spécial, 55–72

  • Bateman IJ, Willis KG (1999) Valuing environmental preferences: theory and practice of the contingent valuation method in the US, EC, and developing countries. University Press, Oxford

    Google Scholar 

  • Bell SS, Tewfik A, Hall MO, Fonseca MS (2008) Evaluation of seagrass planting and monitoring techniques: implications for assessing restoration success and habitat equivalency. Restor Ecol 16:407–416. doi:10.1111/j.1526-100X.2007.00308.x

    Article  Google Scholar 

  • Bruggeman DJ, Jones ML, Lupi F, Scribner KT (2005) Landscape equivalency analysis: methodology for estimating spatially explicit biodiversity credits. Environ Manag 36:518–534

    Article  Google Scholar 

  • Cacela D, Lipton J, Beltman D, Hansen J, Wolotira R (2005) Associating ecosystem service losses with indicators of toxicity in habitat equivalency analysis. Environ Manag 35:343–351. doi:10.1007/s00267-004-4117-4

    Article  Google Scholar 

  • Dumax N, Rozan A (2011) Using an adapted HEP to assess environmental cost. Ecol Econ 72:53–59. doi:10.1016/j.ecolecon.2011.09.020

    Article  Google Scholar 

  • Dunford RW, Ginn TC, Desvousges WH (2004) The use of habitat equivalency analysis in natural resource damage assessments. Ecol Econ 48:49–70. doi:10.1016/j.ecolecon.2003.07.011

    Article  Google Scholar 

  • Fonseca M, Julius BE, Kenworthy W (2000) Integrating biology and economics in seagrass restoration: how much is enough and why? Ecol Eng 15:227–237

    Article  Google Scholar 

  • Frederick S, Loewenstein G, O’donoghue T (2002) Time discounting and time preference: a critical review. J Econ Lit 40:351–401. doi:10.1257/002205102320161311

    Article  Google Scholar 

  • French McCay D, Rowe J (2003) Habitat restoration as mitigation for lost production at multiple trophic levels. Mar Ecol Prog Ser 264:233–247

    Article  Google Scholar 

  • Henderson N, Bateman I (1995) Empirical and public choice evidence for hyperbolic social discount rates and the implications for intergenerational discounting. Environ Res Econ 5:413–423. doi:10.1007/BF00691577

    Article  Google Scholar 

  • Jones C, Pease K (1997) Restoration-based compensation measures in natural resource liability statutes. Contemp Econ Pol 15:111–122

    Article  Google Scholar 

  • Kahneman D, Ritov I (1994) Determinants of stated willingness to pay for public goods: a study in the headline method. J Risk Uncertain 9:5–38

    Article  Google Scholar 

  • Kahneman D, Ritov I, Schkade D (1999) Economic preferences or attitude expressions? An analysis of dollar responses to public issues. J Risk Uncertain 19:220–242

    Google Scholar 

  • Levrel H, Pioch S, Spieler R (2012) Compensatory mitigation in marine ecosystems: which indicators for assessing the “no net loss” goal of ecosystem services and ecological functions? Mar Pol 36:1202–1210. doi:10.1016/j.marpol.2012.03.004

    Article  Google Scholar 

  • Mazzotta MJ, Opaluch JJ, Grigalunas TA (1994) Natural resource damage assessment: the role of resource restoration. Nat Res J 34:153–178

    Google Scholar 

  • Milon WJ, Dodge RE (2001) Applying habitat equivalency analysis for coral reef damage assessment and restoration. Bull Mar Sci 69:975–988

    Google Scholar 

  • NOAA (1997) Natural resource damage assessment guidance document: scaling compensatory restoration actions. Oil Pollution Act of 1990

  • Penn T, Tomasi T (2002) Calculating resource restoration for an oil discharge in Lake Barre, Louisiana, USA. Environ Manag 29:691–702. doi:10.1007/s00267-001-0059-2

    Article  Google Scholar 

  • Redding JPG (2009) La renaturation du ruisseau des Vurpillières (réserve naturelle nationale du Lac de remoray, Doubs): problèmes, méthodes et résultats d’un suivi macrobenthique (éphéméroptères, Plécoptères et trichoptères) à long terme (1993-2007). Rev Sci Bourgogne Nat 9:225–241

    Google Scholar 

  • Roach B, Wade W (2006) Policy evaluation of natural resource injuries using habitat equivalency analysis. Ecol Econ 58:421–433. doi:10.1016/j.ecolecon.2005.07.019

    Article  Google Scholar 

  • Scribner KT, Blanchong JA, Bruggeman DJ, Epperson BK, Lee CY, Pan YW, Shorey RI, Prince HH, Winterstein SR, Luukkonen DR (2005) Geographical genetics: conceptual foundations and empirical applications of spatial genetic data in wildlife management. J Wildl Manag 69:1434–1453. doi:10.2193/0022-541x(2005)69[1434:ggcfae]2.0.CO;2

    Article  Google Scholar 

  • Sperduto M, Powers S, Donlan M (2003) Scaling restoration to achieve quantitative enhancement of loon, seaduck, and other seabird populations. Mar Ecol Prog Ser 264:221–232. doi:10.3354/meps264221

    Article  Google Scholar 

  • Strange E, Galbraith H, Bickel S, Mills D, Beltman D, Lipton J (2002) Determining ecological equivalence in service-to-service scaling of salt marsh restoration. Environ Manag 29:290–300

    Article  Google Scholar 

  • Thompson DB (2002) Valuing the environment: Courts’ struggles with natural resource damages. Environ Law 32:57–89

    Google Scholar 

  • Unsworth RE, Bishop RC (1994) Assessing natural resource damages using environmental annuities. Ecol Econ 11:35–41

    Article  Google Scholar 

  • Vaissière AC, Levrel H, Hily C, Le Guyader D (2013) Selecting ecological indicators to compare maintenance costs related to the compensation of damaged ecosystem services. Ecol Ind 29:255–269. doi:10.1016/j.ecolind.2013.01.003

    Article  Google Scholar 

  • Young MD, Hatton MacDonald D (2006) How should we discount the future? An environmental perspective. In: Pannell DJ, Schilizzi SGM (eds) Economics and the future: time and discounting in private and public decision making. Edward Elgar, Cheltenham, pp 121–136

    Google Scholar 

  • Weitzman ML (1998) Why the far-distant future should be discounted at its lowest possible rate. J Environ Econ Manag 36:201–208

  • Zafonte M, Hampton S (2007) Exploring welfare implications of resource equivalency analysis in natural resource damage assessments. Ecol Econ 61:134–145. doi:10.1016/j.ecolecon.2006.02.009

    Article  Google Scholar 

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Acknowledgments

The authors thank the French National Agency for Water and Aquatic Ecosystems (partnership Onema - Ifremer 2011) for their support in organizing this work. Thanks are also addressed to all the people interviewed for this work, and to Antoine Roudier for his assistance with the English version.

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Correspondence to Pierre Scemama.

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Scemama, P., Levrel, H. Using Habitat Equivalency Analysis to Assess the Cost Effectiveness of Restoration Outcomes in Four Institutional Contexts. Environmental Management 57, 109–122 (2016). https://doi.org/10.1007/s00267-015-0598-6

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