Figura 7 - uploaded by Luis A Cubillos
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Fotogramas con presencia de langostino colorado (P. monodon) obtenidos en filmaciones submarinas realizadas en Coquimbo.
Source publication
El crucero de evaluación directa de langostino amarillo, langostino colorado y camarón nailon de 2021 se desarrolló en un contexto todavía marcado por la pandemia de COVID19 que afecta al país. Sin embargo, se adoptaron todas las medidas sanitarias pertinentes que permitieron desarrollar con éxito la evaluación de los tres recursos. El apoyo de las...
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Citations
Yellow 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◦42′ and 36◦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 Valparaíso and Biobío, which was consistent with the
extractive closure implemented by the managers from 32◦10’S to the south. Most of the biomass of Cervimunida
johni (~75% of the biomass) was located in the Coquimbo, Puerto Oscuro, La Ligua, Valparaíso, Pichilemu, and
Biobío 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.
