Selecting cost-effective areas for restoration of ecosystem services

Adame, M. F., Hermoso, V., Perhans, K., Lovelock, C. E. and Herrera-Silveira, J. A. (2014) Selecting cost-effective areas for restoration of ecosystem services. Conservation Biology, 29 2: 493-502. doi:10.1111/cobi.12391

Author Adame, M. F.
Hermoso, V.
Perhans, K.
Lovelock, C. E.
Herrera-Silveira, J. A.
Title Selecting cost-effective areas for restoration of ecosystem services
Journal name Conservation Biology   Check publisher's open access policy
ISSN 1523-1739
Publication date 2014-09-08
Year available 2014
Sub-type Article (original research)
DOI 10.1111/cobi.12391
Open Access Status
Volume 29
Issue 2
Start page 493
End page 502
Total pages 10
Place of publication Hoboken, NJ, United States
Publisher Blackwell Publishing Inc.
Collection year 2015
Language eng
Abstract Selection of areas for restoration should be based on cost-effectiveness analysis to attain the maximum benefit with a limited budget and overcome the traditional ad hoc allocation of funds for restoration projects. Restoration projects need to be planned on the basis of ecological knowledge and economic and social constraints. We devised a novel approach for selecting cost-effective areas for restoration on the basis of biodiversity and potential provision of 3 ecosystem services: carbon storage, water depuration, and coastal protection. We used Marxan, a spatial prioritization tool, to balance the provision of ecosystem services against the cost of restoration. We tested this approach in a mangrove ecosystem in the Caribbean. Our approach efficiently selected restoration areas that at low cost were compatible with biodiversity targets and that maximized the provision of one or more ecosystem services. Choosing areas for restoration of mangroves on the basis carbon storage potential, largely guaranteed the restoration of biodiversity and other ecosystem services.
Keyword Carbon stocks
Water quality
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 8 September 2014.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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