Assigning shark fin origin using species distribution models needs a reality check

Raoult, Vincent, Grant, Michael I., Barbosa Martins, Ana Paula, Feitosa, Leonardo Manir, Braccini, Matias, Cardeñosa, Diego, Carlson, John, Chin, Andrew, Curtis, Tobey, Carvalho Costa, Luís Fernando, Rodrigues Filho, Luís Fernando, Giarrizzo, Tommaso, Nunes, Jorge Luiz S., Sales, João Bráullio L., Williamson, Jane E., and Simpfendorfer, Colin (2021) Assigning shark fin origin using species distribution models needs a reality check. Biology Letters, 17 (7).

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Abstract

[Extract] The conservation and management of shark populations have become urgent issues to ensure the future health of our oceans [1]. There are many drivers of the decline of shark populations, with the demand for shark fins being one of the more important [2]. Understanding fin origin can help identify regions for improved management, and hence has been the focus of recent research (e.g. Fields et al. [3], Cardeñosa et al. [4]). In a recent Biology Letters article, Van Houtan et al. [5] contributed to this work using data on species composition of shark fins at four markets and species distribution models (SDMs) to predict the probability of fin origin. Their purpose was to address knowledge gaps in source and trade routes of shark products, which currently limit the effective allocation of management resources. While the broad concept behind their paper is novel, we disagree with the results and conclusions owing to flaws in methodology and interpretation.

Item ID: 70274
Item Type: Article (Short Note)
ISSN: 1744-957X
Copyright Information: © 2021 The Author(s) Published by the Royal Society. All rights reserved
Date Deposited: 02 Dec 2021 02:43
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3005 Fisheries sciences > 300502 Aquaculture and fisheries stock assessment @ 30%
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3005 Fisheries sciences > 300505 Fisheries management @ 30%
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410406 Natural resource management @ 40%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1805 Marine systems and management > 180502 Assessment and management of pelagic marine ecosystems @ 50%
10 ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS > 1003 Fisheries - wild caught > 100305 Wild caught fin fish (excl. tuna) @ 50%
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