Using Meta-Analysis and GIS for Value Transfer and Scaling Up: Valuing Climate Change Induced Losses of European Wetlands

By Luke Brander, I. Bräuer, H. Gerdes, Andrea Ghermandi, Onno Kuik, Anil Markandya, S. Navrud, P. A. Nunes, Marije Schaafsma, H. Vos and 1 more. 2012

151 citations recorded by the source corpus.

There is growing policy and academic interest in transferring ecosystem service values from existing valuation studies to other ecosystem sites at a large geographic scale. Despite the evident policy demand for this combined transfer and “scaling up” of values, an approach to value transfer that addresses the challenges inherent in assessing ecosystem changes at a national or regional level is not available. 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. 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.

Subfields: Economics and Econometrics, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/9c540f5fbe28f7913941d884fa11c31a2aaa2d87

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Citations in the corpus

Global estimates of the value of ecosystems and their services in monetary units (2012, methodology): “An adequate characterization of the context of the valued ecosystems is a problematic task that has been investigated in several meta-analyses of ecosystem service values (Brander et al., 2006; Ghermandi et al., 2010; Brander et al., 2011).”
Mapping ecosystem services' values: current practice and future prospects. (2013, background): “Using a meta-analytic value function for mapping wetland values across the EU, Brander et al. (2011) report 95% confidence intervals of the total wetland value predictions per country.”
Ecosystem service values for mangroves in Southeast Asia: A meta-analysis and value transfer applicatio (2012, methodology): “We therefore follow the method proposed by Brander et al. (2012) to include spatial information in the meta-analytic value function on the abundance of mangrove ecosystems in the broader surroundings of each study site.”
The economic value of wetlands in developing countries: a meta-regression analysis (2016, methodology): “For example, Brander et al. (2006) report an average MAPE value of 58%, Brander et al. (2007)) report a value of 186%, Brouwer et al. (2009) reports a value of 85%, Enjolras and Boisson (2010) report a value of 87%, and Salem and Mercer (2012) reports average MAPE value of 35%.”