Modelling density on historical aggregation areas improves biomass estimates in yellow squat lobster off Chile

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dc.contributor.authorCusba, Jose
dc.contributor.authorQueirolo, Dante
dc.contributor.authorAhumada, Mauricio
dc.contributor.authorApablaza, Pedro
dc.contributor.authorParamo, Jorge
dc.contributor.authorWiff, Rodrigo
dc.date.accessioned2025-01-20T16:16:29Z
dc.date.available2025-01-20T16:16:29Z
dc.date.issued2024
dc.description.abstractYellow squat lobster fishery is one of the most important extractive activities in the central zone of Chile that occurs between 100 and 300 m deep. One of the difficulties in the management of the fishery is the high variability of the indices of abundance, which depends on the spatial distribution of the resource, among other things. Given the limited knowledge of spatial distribution patterns and spatiotemporal changes in yellow squat lobster density and biomass, the information collected during trawl survey assessments between 1999 and 2019 in central Chile was analyzed. Using the criteria of presence, persistence, distance, and discontinuity, 23 areas of aggregation between 26 degrees 42 ' and 36 degrees 54 ' S were identified and used to model the catch per unit area by a generalized additive models. The model explained 21.4% of the deviance and allowed us to show the population growth from 2001 onward between the regions of Valpara & iacute;so and Biob & iacute;o, which was consistent with the extractive closure implemented by the managers from 32 degrees 10'S to the south. Most of the biomass of Cervimunida johni (similar to 75% of the biomass) was located in the Coquimbo, Puerto Oscuro, La Ligua, Valpara & iacute;so, Pichilemu, and Biob & iacute;o aggregations, corresponding to 57% of the total surface where the resources were distributed. The present work provides information on the places that have been persistently occupied by Cervimunida johni, suggesting to managers an evaluation of the spatial limits that are currently being used in the surveys and their influence on the performance of the population evaluation model.
dc.description.funderPontificia Universidad Catolica de Valparaiso, Chile
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.fishres.2024.107026
dc.identifier.eissn1872-6763
dc.identifier.issn0165-7836
dc.identifier.urihttps://doi.org/10.1016/j.fishres.2024.107026
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90549
dc.identifier.wosidWOS:001238026700001
dc.language.isoen
dc.revistaFisheries research
dc.rightsacceso restringido
dc.subjectCervimunida johni
dc.subjectYellow squat lobster
dc.subjectSpecies distribution
dc.subjectDensity
dc.subjectFisheries surveys
dc.subject.ods15 Life on Land
dc.subject.ods14 Life Below Water
dc.subject.odspa15 Vida de ecosistemas terrestres
dc.subject.odspa14 Vida submarina
dc.titleModelling density on historical aggregation areas improves biomass estimates in yellow squat lobster off Chile
dc.typeartículo
dc.volumen275
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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