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M-Risk: a framework for assessing global fisheries management efficacy of sharks, rays and chimaeras

Sherman, CS, Sant, G, Simpfendorfer, CA ORCID: 0000-0002-0295-2238, Digel, ED, Zubick, P, Johnson, G, Usher, M and Dulvy, NK 2022 , 'M-Risk: a framework for assessing global fisheries management efficacy of sharks, rays and chimaeras' , Fish and Fisheries , pp. 1-17 , doi: 10.1111/faf.12695.

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Abstract

Fisheries management is essential to guarantee sustainable capture of target speciesand avoid undesirable declines of incidentally captured species. A key challenge ishalting and reversing declines of shark and ray species, and specifically assessing thedegree to which management is sufficient to avoid declines in relatively data-poorfisheries. While ecological risk analyses focus on intrinsic productivity and extrinsicsusceptibility, one would ideally consider the influence of fisheries management.Currently, there is no single management evaluation that can be applied to acombination of fishery types at the scale of individual country or Regional FisheriesManagement Organizations (RFMOs). Here, we outline a management-risk(M-Risk)framework for sharks, rays and chimaeras used to evaluate species' risk of overfishingresulting from ineffective management. We illustrate our approach with application toone country (Ecuador) and RFMO (Inter-AmericanTropical Tuna Commission) and illustratethe variation in scores among species. We found that while both managementunits assessed had similar overall scores, the scores for individual attributes varied.Ecuador scored higher in reporting-relatedattributes, while the IATTC scored higherin attributes related to data collection and use. We evaluated whether the managementof individual species was sufficient for their relative sensitivity by combining themanagement-riskscore for each species with their intrinsic sensitivity to determinea final M-Riskscore. This framework can be applied to determine which species facethe greatest risk of overfishing and be used by fisheries managers to identify effectivemanagement policies by replicating regulations from countries with lower risk scores.

Item Type: Article
Authors/Creators:Sherman, CS and Sant, G and Simpfendorfer, CA and Digel, ED and Zubick, P and Johnson, G and Usher, M and Dulvy, NK
Keywords: data-poor fisheries, ecological risk assessment, elasmobranch, marine conservation, resource management, socioecological resilience
Journal or Publication Title: Fish and Fisheries
Publisher: Blackwell Publishing Ltd
ISSN: 1467-2960
DOI / ID Number: 10.1111/faf.12695
Copyright Information:

© 2022 John Wiley & Sons Ltd.

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