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Cited by 256

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

A Global Meta-Analysis of the Value of Ecosystem Services Provided by Lakes

Open access
Reynaud, Arnaud, Lanzanova, Denis·2017·Ecological Economics

Abstract

This study presents the first meta-analysis on the economic value of ecosystem services delivered by lakes. A worldwide data set of 699 observations drawn from 133 studies combines information reported in primary studies with geospatial data. The meta-analysis explores antagonisms and synergies between ecosystem services. This is the first meta-analysis to incorporate simultaneously external geospatial data and ecosystem service interactions. We first show that it is possible to reliably predict the value of ecosystem services provided by lakes based on their physical and geographic characteristics. Second, we demonstrate that interactions between ecosystem services appear to be significant for explaining lake ecosystem service values. Third, we provide an estimation of the average value of ecosystem services provided by lakes: between 106 and 140 USD$2010 per respondent per year for non-hedonic price studies and between 169 and 403 USD$2010 per property per year for hedonic price studies.

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Metadata

Authors
Reynaud, A., & Lanzanova, D.
Venue
Ecological Economics
Publisher
Elsevier BV
Published
2017-07
Volume
137
Pages
184-194
ISSN
0921-8009 (ISSN-L)
OpenAlex
W2600916932
Cited by
256
References
25
FWCI
1.50
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A Global Meta-Analysis of the Value of Ecosystem Services Provided by Lakes. https://app.cochat.ai/papers/10.1016/j.ecolecon.2017.03.001
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Reynaud, A., & Lanzanova, D. (2017). A Global Meta-Analysis of the Value of Ecosystem Services Provided by Lakes. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2017.03.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.