Publication
A comparison of three data-poor stock assessment methods for the pink spiny lobster fishery in Mauritania
| dc.contributor.author | Meissa, Beyah | |
| dc.contributor.author | Dia, Mamadou | |
| dc.contributor.author | Baye, Braham C. | |
| dc.contributor.author | Bouzouma, Moustapha | |
| dc.contributor.author | Beibou, Ely | |
| dc.contributor.author | Roa-Ureta, Ruben | |
| dc.date.accessioned | 2021-11-18T14:02:52Z | |
| dc.date.available | 2021-11-18T14:02:52Z | |
| dc.date.issued | 2021-10 | |
| dc.description.abstract | Several data-poor stock assessment methods have recently been proposed and applied to data-poor fisheries around the world. The Mauritanian pink spiny lobster fishery has a long history of boom and bust dynamics, with large landings, stock collapse, and years-long fishery closures, all happening several times. In this study, we have used catch, fishing efforts, and length-frequency data (LFD) obtained from the fishery in its most recent period of activity, 2015–2019, and historical annual catch records starting in 2006 to fit three data-poor stock assessment methods. These were the length-based Bayesian (LBB) method, which uses LFD exclusively, the Catch-only MSY (CMSY) method, using annual catch data and assumptions about stock resilience, and generalised depletion models in the R package CatDyn combined with Pella-Tomlinson biomass dynamics in a hierarchical inference framework. All threemethods presented the stock as overfished. The LBB method produced results that were very pessimistic about stock status but whose reliability was affected by non-constant recruitment. The CMSY method and the hierarchical combination of depletion and Pella-Tomlinson biomass dynamics produced more comparable results, such as similar sustainable harvest rates, but both were affected by large statistical uncertainty. Pella-Tomlinson dynamics in particular demonstrated stock experiencing wide fluctuations in abundance. In spite of uncertain estimates, a clear understanding of the status of the stock as overfished and in need of a biomass rebuilding program emerged as management-useful guidance to steer exploitation of this economically significant resource into sustainability. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.3389/fmars.2021.714250 | pt_PT |
| dc.identifier.issn | 2296-7745 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/17331 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Frontiers Media | pt_PT |
| dc.subject | Stock assessment | pt_PT |
| dc.subject | Data-poor | pt_PT |
| dc.subject | LBB | pt_PT |
| dc.subject | CMSY | pt_PT |
| dc.subject | CatDyn | pt_PT |
| dc.subject | Pink lobster | pt_PT |
| dc.subject | Mauritania | pt_PT |
| dc.title | A comparison of three data-poor stock assessment methods for the pink spiny lobster fishery in Mauritania | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.title | Frontiers in Marine Science | pt_PT |
| oaire.citation.volume | 8 | pt_PT |
| person.familyName | Roa-Ureta | |
| person.givenName | Ruben | |
| person.identifier | 633647 | |
| person.identifier.orcid | 0000-0002-9620-5224 | |
| person.identifier.scopus-author-id | 7003338522 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | de23bbdd-e500-4146-b0a2-d579c12ce7ae | |
| relation.isAuthorOfPublication.latestForDiscovery | de23bbdd-e500-4146-b0a2-d579c12ce7ae |
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