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A cost-benefit approach for prioritizing invasive species

Pierre Courtois, Charles Figuieres (), Chloé Mulier () and Joakim Weill ()
Additional contact information
Chloé Mulier: Innovation
Joakim Weill: Dept of Agricultural and Resource Economics, University of California, Davis

No 2017.29, Working Papers from FAERE - French Association of Environmental and Resource Economists

Abstract: Biological invasions entail massive biodiversity losses and tremendous economic impacts that justify significant management efforts. Because the funds available to control biological invasions are limited, there is a need to identify priority species. This paper first reviews current invasive species prioritization methods and explicitly highlights their pitfalls. We then construct a cost-benefit optimization framework that incorporates species utility, ecological value, distinctiveness, and species interactions. This framework offers the theoretical foundations of a simple method for the management of multiple invasive species under a limited budget. We provide an algorithm to operationalize this framework and render explicit the assumptions required to satisfy the management objective.

Keywords: Biological invasion; Prioritization; cost-benefit; optimization; Diversity (search for similar items in EconPapers)
JEL-codes: Q28 Q57 Q58 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr and nep-env
Date: 2017-12
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Forthcoming in Ecological Economics

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http://faere.fr/pub/WorkingPapers/Courtois_Figui%C ... _FAERE_WP2017.29.pdf First version, 2017 (application/pdf)

Related works:
Journal Article: A Cost–Benefit Approach for Prioritizing Invasive Species (2018) Downloads
Working Paper: A cost-benefit approach for prioritizing invasive species (2018)
Working Paper: A Cost-Benefit Approach for Prioritizing Invasive Species (2017) Downloads
Working Paper: A Cost-Benefit Approach for Prioritizing Invasive Species (2017) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:fae:wpaper:2017.29

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