Estimativa de captura do bonito-listrado (katsuwonus pelamis) na costa sudeste do Brasil usando um modelo estatístico e dados de sensoriamento remoto / Skipjack catch estimate in the southeast coast of Brazil using a statistical model and remote sensing data

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

The skipjack tuna, Katsuwonus pelamis, is a cosmopolitan pelagic species and appertain the tunas family. It possesses a wide distribution in tropical and subtropical waters, with concentrations found close to the shelf break. As with most tunas, it has a spatial distribution determined by the sea surface temperature field, occurring in surficial waters with temperatures between 14.7° and 30°C. Moreover, they are frequently associated to mesoscale ocean features such as convergence zones, ocean fronts, and upwelling regions. Occurrence patterns of the Skipjack tuna and its relation to environmental conditions can therefore be studied using orbital remote sensing data. The present work investigates the performance of a statistical model for the estimate of fish catch and its relation to sea surface temperature, surface chlorophyll-α concentration, wind speed and Ekman pumping, derived from orbital remote sensing data. The study area is situated next the Southeast Brazilian continental shelf, between 23°S and 35°S. The catch data corresponds to the period from 1996 to 2002 and has been divided into a historical series, from 1996 to 2001, and a model validation year of 2002. The skipjack catch presented a clear seasonal cycle with high values during the summer and late autumn. Historical catch estimates showed a good relation with actual CPUEs, and allowed a reliable tool for weekly update of these historical estimates. Sea surface temperature was the variable most significant in all the adjusted models of regression, presenting a positive relation with CPUEs how much with its estimates. The combined use of the ambiental variables, more specifically the SST, with the historical catch estimates more approximate of the real catch than used singly. This hypothesis is increased by addition of SST resultant gradient in the regression between the estimates and the real catches of 2002.

ASSUNTO(S)

atlântico sensoriamento remoto listrado oceano parâmetros oceanográficos oceanographic parameters estatística bayesiana bayesian statistics bonito remote sensing fishes atlantic ocean

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