Optimal Harvesting Policies Threaten Biodiversity in Mixed Fisheries

Eric Tromeur () and Luc Doyen ()
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Eric Tromeur: GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique, iEES Paris - Institut d'écologie et des sciences de l'environnement de Paris - IRD - Institut de Recherche pour le Développement - SU - Sorbonne Université - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: s marine ecosystems are under pressure worldwide, many scientists and stakeholders advocate the use of ecosystem-based approaches for fishery management. In particular, management policies are expected to account for the multispecies nature of fisheries. However, numerous fisheries management plans remain based on single-species concepts, such as maximum sustainable yield (MSY) and maximum economic yield (MEY), that respectively aim at maximizing catches or profits of single species or stocks. In this study, we assess the bioeconomic sustainability of multispecies MSY and MEY in a mixed fishery, characterized by technical interactions and therefore joint production. First, we analytically show how multispecies MSY and MEY can induce overharvesting and extinction of species with low productivity and low value. Second, we identify and discuss incentives on effort costs and landing prices, as well as technical regulations, that could promote biodiversity conservation and more globally sustainability. Finally, a numerical example based on the coastal fishery in French Guiana illustrates the analytical findings.

Keywords: Multispecies fishery; Ecosystem-based fisheries management; Maximum sustainable yield; Maximum economic yield; Overexploitation; Technical interaction (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

Published in Environmental Modeling & Assessment, In press, 24, pp.387-403. ⟨10.1007/s10666-018-9618-2⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03118051

DOI: 10.1007/s10666-018-9618-2

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