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A Global Meta-Analysis for Estimating Local Ecosystem Service Value Functions

CESAM & Department of Environment & Planning (DAO), University of Aveiro (UA), 3810-193 Aveiro, Portugal
Federal Institute of Education, Science and Technology of Tocantins (IFTO), Dianopolis 77300-000, Brazil
Wageningen Economic Research, Wageningen University and Research (WUR), 6708 PB Wageningen, The Netherlands
Regional Development Program, Federal University of Tocantins (UFT), Palmas 77001-090, Brazil
Department of Economics, Social Studies, Applied Mathematics and Statistics (DE), University of Turin (UNITO), 10124 Turin, Italy
Author to whom correspondence should be addressed.
Academic Editor: Sílvia C. Goncalves
Received: 18 June 2021 / Revised: 1 August 2021 / Accepted: 4 August 2021 / Published: 9 August 2021
The Meta-analysis has increasingly been used to synthesize the ecosystem services literature, with some testing of the use of such analyses to transfer benefits. These are typically based on local primary studies. However, meta-analyses associated with ecosystem services are a potentially powerful tool for transferring benefits, especially for environmental assets for which no primary studies are available. In this study we use the Ecosystem Service Valuation Database (ESVD), which brings together 1350 value estimates from more than 320 studies around the world, to estimate meta-regression functions for Provisioning, Regulating and maintenance, and Cultural ecosystem services across 12 biomes. We tested the reliability of these meta-regression functions and found that even using variables with high explanatory power, transfer errors could still be large. We show that meta-analytic transfer performs better than simple value transfer and, in addition, that local meta-analytical transfer (i.e., based on local explanatory variable values) provides more reliable estimates than global meta-analytical transfer (i.e., based on mean global explanatory variable values). Thus, we conclude that when taking into account the characteristics of the study area under analysis, including explanatory variables such as income, population density, and protection status, we can determine the value of ecosystem services with greater accuracy. View Full-Text
Keywords: ecosystem services; benefit transfer; meta-analysis; meta-regression function ecosystem services; benefit transfer; meta-analysis; meta-regression function
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MDPI and ACS Style

Magalhães Filho, L.; Roebeling, P.; Bastos, M.I.; Rodrigues, W.; Ometto, G. A Global Meta-Analysis for Estimating Local Ecosystem Service Value Functions. Environments 2021, 8, 76.

AMA Style

Magalhães Filho L, Roebeling P, Bastos MI, Rodrigues W, Ometto G. A Global Meta-Analysis for Estimating Local Ecosystem Service Value Functions. Environments. 2021; 8(8):76.

Chicago/Turabian Style

Magalhães Filho, Luiz, Peter Roebeling, Maria I. Bastos, Waldecy Rodrigues, and Giulia Ometto. 2021. "A Global Meta-Analysis for Estimating Local Ecosystem Service Value Functions" Environments 8, no. 8: 76.

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