Evidence for spatiotemporal shift in demersal fishery management priority areas in the western Mediterranean
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Marine protected areas (MPAs) are a promising management tool for the conservation and recovery of marine ecosystems, as well as fishery management. MPAs are generally established as permanent closures but marine systems are dynamic, which has generated debate in favour of more dynamic designs. As a consequence, the identification of priority areas should assess their persistence in space and time. Here, we develop a step-by-step approach to assess the spatiotemporal dynamics of fishery management priority areas using standard fishery-independent survey data. To do so, we fit Bayesian hierarchical spatiotemporal SDM (species distribution model) models to different commercially important demersal species and use the resulting maps to fit different spatial prioritisation configurations. The proposed method is illustrated through a western Mediterranean case study using fishery-independent trawl survey data on six commercially important species collected over 17 years. We use these results to assess the spatiotemporal dynamics of fishery priority areas. We identified two fishery priority area patterns in the study area, each predominant during a different time period of the study, asserting the importance of regularly reassessing MPA designs.
Paradinas , I , Giménez , J , Conesa , D , López-Quílez , A & Pennino , M G 2022 , ' Evidence for spatiotemporal shift in demersal fishery management priority areas in the western Mediterranean ' , Canadian Journal of Fisheries and Aquatic Sciences , vol. 79 , no. 10 , pp. 1641 - 1654 . https://doi.org/10.1139/cjfas-2021-0327
Canadian Journal of Fisheries and Aquatic Sciences
Copyright © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
DescriptionFunding: IP, DC, and ALP were partially funded by Fundación Biodiversidad. IP was also funded by the European Commission (GAP-847014). DC and ALQ were also funded by the Spanish Ministerio de Ciencia e Innovación——Agencia Estatal de Investigación (grant PID2019-106341GB-I00).
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