Bibliographic citations
Alvarado, A., (2023). Relación entre algunas variables oceanográficas y la CPUE de Dosidicus gigas en el sur del Perú (periodo 2015-2017) [Universidad Nacional Agraria La Molina]. https://hdl.handle.net/20.500.12996/6016
Alvarado, A., Relación entre algunas variables oceanográficas y la CPUE de Dosidicus gigas en el sur del Perú (periodo 2015-2017) []. PE: Universidad Nacional Agraria La Molina; 2023. https://hdl.handle.net/20.500.12996/6016
@misc{renati/243173,
title = "Relación entre algunas variables oceanográficas y la CPUE de Dosidicus gigas en el sur del Perú (periodo 2015-2017)",
author = "Alvarado Espinoza, Alfredo Jesus",
publisher = "Universidad Nacional Agraria La Molina",
year = "2023"
}
This study analyzes the relationship between some oceanographic variables and the CPUE (t/fishing trip) of Dosidicus gigas in the southern Peru, i.e, the Peruvian maritime area from 14°S to the border with Chile, using Dosidicus gigas data during the period 2015-2017 and oceanographic data from global ocean physics reanalysis GLORYS12V1 and NASA database AQUA MODIS. The CPUE analysis showed significant differences between fishing vessel (E/P) with fishing capacity of less than 10t (𝐶�𝑃�𝑈�𝐸�𝑚�𝑒�𝑎�𝑛�= 5.04 t/fishing trip) and E/P with fishing capacity greater than 10t (𝐶�𝑃�𝑈�𝐸�𝑚�𝑒�𝑎�𝑛�= 8.54 t/fishing trip). Being the first ones that make up the majority of the giant squid fleet in southern Peru. Spatiotemporal Analysis of CPUE showed that the fishing grounds tend to be more oceanic (with respect to the distance to the coast) in winter and spring, being CPUEs higher in spring. The correlation matrix and the Generalized Additive Models (GAM) between the oceanographic variables and CPUE, showed that salinity at 55m is the variable that best explains the CPUE’s variations of giant squid. The Principal Component Analysis (PCA) revealed the existence of the following patterns or oceanographic modes and its relationship with CPUE of giant squid. In summer: mixing of Cold Coastal Water (CCW) and Subtropical Surface Waters (SSW) with greater influence of SSW at the subsurface level produces higher CPUE on average. In autumn: it was not found a significant relationship between oceanographic patterns and CPUE. In winter: fishing grounds with a predominance of CCW show lower CPUE on average, while high values of surface current velocity and at 55m present higher CPUE on average. In spring: fishing grounds with low values of sea level height and surface current speed and at 55m, have low CPUE on average.
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