Bycatch mitigation for commonly caught shark species in the Gulf of Mexico reef bottom longline fishery

Author:

O'Farrell Halie B.12ORCID,Babcock Elizabeth A.1ORCID,McCarthy Kevin J.3

Affiliation:

1. Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami Miami Florida USA

2. Florida Fish and Wildlife Conservation Commission Fish and Wildlife Research Institute St. Petersburg Florida USA

3. National Oceanic and Atmospheric Administration National Marine Fisheries Service Miami Florida USA

Abstract

AbstractObjectiveThe Gulf of Mexico (GOM) reef bottom longline fishery typically not only targets groupers and snappers but also interacts with 27 species of sharks, which are primarily discarded as bycatch. Slow growth, late maturity, and low fecundity in a landscape of increasing fishing pressure make sharks comparatively more susceptible to overfishing and endangered status than other fishes. The purpose of this study was to determine which gear and/or environmental variables best predict the shark catch per set for commonly caught shark species in the GOM reef bottom longline fishery.MethodsWe considered 12 commonly caught shark species that vary from the abundant Atlantic Sharpnose Shark Rhizoprionodon terraenovae to the critically endangered Scalloped Hammerhead Sphyrna lewini. Catch per set, effort, gear, and environmental data were taken from the National Oceanic and Atmospheric Administration National Marine Fisheries Service observer dataset for the GOM reef bottom longline fishery (2009–2017) and were used to fit generalized additive models. The Bayesian information criterion and 10‐fold cross‐validation were used to select the best set of variables that predicted catch per set to determine gear configurations, fisher activities, and environmental conditions contributing to higher shark catch per unit effort. We modeled each species individually, all species combined, and species grouped by similar ecology.ResultGear and fishing method variables were consistently included in the best predictive models across species and were the only potential basis for a single strategy that could decrease bycatch across all 12 species. Patterns of environmental variables were only consistent across species with similar ecology and habitat.ConclusionSharks as a group should not be lumped together, as the effects of mitigation measures become confounded and directly managing trade‐offs between species when minimizing bycatch becomes impossible. Focusing on gear rather than environmental variables is the best apparent option to potentially reduce shark catch per set across commonly caught species while minimizing trade‐offs.

Funder

Office of Education

Cooperative Institute for Marine and Atmospheric Studies, University of Miami

Publisher

Wiley

Reference51 articles.

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3. Burgess H. G. &Branstetter S.(2009).Carcharhinus limbatus. The IUCN Red List of Threatened Species 2009 Article e.T3851A10.https://doi.org/10.2305/IUCN.UK.2009‐2.RLTS.T3851A10124862.en

4. Multimodel Inference

5. Clarke S. Sato M. Small C. Sullivan B. Inoue Y. &Ochi D.(2014).Bycatch in longline fisheries for tuna and tuna‐like species: A global review of status and mitigation measures(Fisheries and Aquaculture Technical Paper 588). Food and Agriculture Organization of the United Nations.

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