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    Ecosystem service values for mangroves in Southeast Asia: A meta-analysis and value transfer application2012

    BRANDER L.M., DE GROOT R.S., HUSSAIN S.S., MC VITTIE A., VAN DER PLOEG S., VERBURG P.H., WAGTENDONK A.Journaux et Revues (scientifiques)

    biens et services écosystémiques, GIS, méta-analyse, transfert de bénéfices

    Ecosystem Services
    Volume 1, Issue 1, July 2012, Pages 62–69



    This paper examines the value of ecosystem services provided by mangroves. It presents a meta-analysis of the economic valuation literature and applies the estimated value function to assess the value of mangroves in Southeast Asia. We construct a database containing 130 value estimates, largely for mangroves in Southeast Asia. Values are standardised to US$ per hectare per year in 2007 prices. The mean and median values are found to be 4185 and 239 US$/ha/year respectively. The values of mangrove ecosystem services are highly variable across study sites due to, amongst other factors, the bio-physical characteristics of the site and the socio-economic characteristics of the beneficiaries of ecosystem services. We include explanatory variables in the meta-analysis to account for these influences on estimated mangrove values. A geographic information system (GIS) is used to quantify potentially important spatial variables, including the abundance of mangroves, the population of beneficiaries, and the density of roads in the vicinity of each study site. The meta-analytic value function is used to estimate the change in value of mangrove ecosystem services in Southeast Asia under a baseline scenario of mangrove loss for the period 2000–2050. The estimated foregone annual benefits in 2050 are US$ 2.2 billion, with a prediction interval of US$ 1.6–2.8 billion.


    ► We estimate the monetary value of mangrove ecosystem services in Southeast Asia.
    ► We conduct a meta-analysis of mangrove values to estimate a value function.
    ► Values are shown to be highly variable depending on biophysical and socioeconomic factors.
    ► GIS data is used to define a spatially explicit baseline scenario for mangrove loss 2000–2050.
    ► Estimated foregone annual benefits in 2050 are US$ 2.2 billion (95% prediction interval 1.6–2.8).

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