Using meta-analysis and GIS for value transfer and scaling up: valuing climate change induced losses of European wetlands

BRANDER M. L. / BRÄUER I. / GERDES H. / GHERMANDI A. / MARKANDYA A. / NAVRUD S.

<p class="MsoNormal" style="text-align: justify;"><span style="mso-ansi-language: EN-US;" lang="EN-US">This paper proposes a methodology for scaling up ecosystem service values to estimate the welfare effects of ecosystem change at this larger geographical scale. The methodology is illustrated by applying it to value the impact of climate change on European wetlands for the period 2000–2050. The proposed methodology makes use of meta-analysis to produce a value function. The parameters of the value function include spatial variables on wetland size and abundance, GDP per capita, and population. </span></p> <div style="text-align: justify;">A geographic information system is used to construct a database of wetland sites in the case study region with information on these spatial variables. Site-specific ecosystem service values are subsequently estimated using the meta-analytic value function. The proposed method is shown to enable the adjustment of transferred values to reflect variation in important spatial variables and to account for changes in the stock of ecosystems</div>

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Métadonnées du document

Auteur(s):

BRANDER M. L. / BRÄUER I. / GERDES H. / GHERMANDI A. / MARKANDYA A. / NAVRUD S.

Editeur:

POLE RELAIS LAGUNES

Langue:

ANGLAIS

Candidats descripteurs:

CLIMAT

IMPACT

ANALYSE DE DONNEES

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Using meta-analysis and GIS for value transfer and scaling up: valuing climate change induced losses of European wetlands

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