Modelagem espacial bayesiana para riqueza de elasmobrânquios do extremo sul do Brasil

Ivanoff, Rayd; Pennino, María Grazia; Rufener, Marie-Christine; Vooren, Carolus Maria; Kinas, Paul Gerhard

doi:10.37002/revistacepsul.vol8.790e2019002

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…According toIvanoff et al (2019), the implementation of a Marine Protected Area (MPA) on the coast of RS would be a possible management tool to conserve the remaining sh stocks and the marine biodiversity. In addition to protecting important areas for the life cycle of threatened species by reducing shing-related mortality, Heupel et al 2018, Rolim et al 2019), MPAs may contribute to the recovery of targeted sh stocks, bene ting both the species that prey upon these sh and the shery itself(Gaylord et al 2005, Gaines et al 2009).…”

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confidence: 99%

Identifying priority areas using a multispecies approach for the conservation of marine megafauna species vulnerable to bycatch in commercial gillnet fisheries

Saüt,

da Silveira Monteiro,

Prado

et al. 2024

Biodivers Conserv

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Bycatch is one of the main causes of mortality of marine megafauna over the world. In the coastal waters of southern Brazil, bycatch in gillnet sheries affects threatened species that use this region as a breeding and feeding area. The identi cation of hotspot areas of bycatch is necessary to design and prioritize e cient spatial-temporal closures that protect the largest possible number of threatened species of marine megafauna. In this context, the use of a multispecies approach is an important step towards planning effective sheries management measures. This study has two main objectives: 1) to identify hotspot areas of bycatch in gillnet sheries for the most threatened marine megafauna species on the continental shelf of Rio Grande do Sul (RS); 2) compare single species and multispecies mapping methods for the identi cation of these areas. To meet these objectives, data collected by onboard observers during shing trips in the coastal commercial RS-based gillnet eet, between 2013 and2015 and between 2018 and 2020, were analyzed. For the identi cation of the areas, hierarchical Bayesian spatio-temporal models were implemented, using monospeci c and multispeci c approaches and a weighting system for the conservation status of the species. Both approaches provide similar results, identifying three bycatch hotspots according to the analyzed time frame. Based on our ndings, we propose the creation of speci c no-shing areas in these regions. The suggested spatio-temporal closures would bene t several endangered species, also contributing to the recovery of sh populations.

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mentioning

confidence: 99%

Identifying priority areas using a multispecies approach for the conservation of marine megafauna species vulnerable to bycatch in commercial gillnet fisheries

Saüt,

da Silveira Monteiro,

Prado

et al. 2024

Biodivers Conserv

Self Cite

View full text Add to dashboard Cite

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Identifying priority areas using a multispecies approach for the conservation of marine megafauna vulnerable species

Saüt1

Monteiro1

Prado2³

et al. 2022

Preprint

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Bycatch is one of the main causes of mortality of marine megafauna over the world. In the coastal waters of southern Brazil, bycatch in gillnet fisheries affects threatened species that use this region as a breeding and feeding area. The identification of hotspot areas of bycatch is necessary to design and prioritize efficient spatial-temporal closures that protect the largest possible number of threatened species of marine megafauna. In this context, the use of a multispecies approach is an important step towards planning effective fisheries management measures. This study has two main objectives: 1) to identify hotspot areas of bycatch in gillnet fisheries for the most threatened marine megafauna species on the continental shelf of Rio Grande do Sul (RS); 2) compare single species and multispecies mapping methods for the identification of these areas. To meet these objectives, data collected by onboard observers during fishing trips in the coastal commercial RS-based gillnet fleet, between 2013 and 2015 and between 2018 and 2020, were analyzed. For the identification of the areas, hierarchical Bayesian spatio-temporal models were implemented, using monospecific and multispecific approaches and a weighting system for the conservation status of the species. Both approaches provide similar results, identifying three bycatch hotspots according to the analyzed time frame. Based on our findings, we propose the creation of specific no-fishing areas in these regions. The suggested spatio-temporal closures would benefit several endangered species, also contributing to the recovery of fish populations.

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Modelagem espacial bayesiana para riqueza de elasmobrânquios do extremo sul do Brasil

Cited by 2 publications

References 20 publications

Identifying priority areas using a multispecies approach for the conservation of marine megafauna species vulnerable to bycatch in commercial gillnet fisheries

Identifying priority areas using a multispecies approach for the conservation of marine megafauna species vulnerable to bycatch in commercial gillnet fisheries

Identifying priority areas using a multispecies approach for the conservation of marine megafauna vulnerable species

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