A Cost-Benefit Approach for Prioritizing Invasive Species
Pierre Courtois,
Charles Figuieres,
Chloe Mulier () and
Joakim Weill ()
Additional contact information
Chloe Mulier: Innovation, Montpellier
Joakim Weill: Dpt of Agricultural and Resource Economics, 2159 Social Sciences and Humanities, University of California, Davis
No 1733, AMSE Working Papers from Aix-Marseille School of Economics, France
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 review 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 and operational method for the management of invasive species under a limited budget constraint. It takes the form of an algorithm for the prioritization of multiple biological invasions.
Keywords: prioritization; biological invasions; cost/benefit; optimization; diversity (search for similar items in EconPapers)
JEL-codes: Q28 Q57 Q58 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2017-09
New Economics Papers: this item is included in nep-agr, nep-cta and nep-env
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https://www.amse-aixmarseille.fr/sites/default/fil ... /wp_2017_-_nr_33.pdf (application/pdf)
Related works:
Journal Article: A Cost–Benefit Approach for Prioritizing Invasive Species (2018) 
Working Paper: A cost-benefit approach for prioritizing invasive species (2018)
Working Paper: A cost-benefit approach for prioritizing invasive species (2017) 
Working Paper: A cost-benefit approach for prioritizing invasive species (2017) 
Working Paper: A Cost-Benefit Approach for Prioritizing Invasive Species (2017) 
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Persistent link: https://EconPapers.repec.org/RePEc:aim:wpaimx:1733
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