The climate change impacts on the spatial distribution of yellowfin tuna (Thunnus albacares) in the Arabian Sea

• Main Authors: Xu, You-Jin, 許又今
• Other Authors: Lee, Ming-An
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/84167803586610002024

碩士 === 國立臺灣海洋大學 === 環境生物與漁業科學學系 === 104 === Yellowfin tuna (Thunnus albacares) is one of the important commercial species of the Taiwanese longline(LL) fishery in the Arabian Sea. The 1 degree resolution catch data of yellowfin tuna and satellite-derived environment variables with the model data were collected during the period of 1998 - 2013. The Generalized Additive Models (GAMs) were used to explore the correlation between the catch rate (CPUE) of yellowfin tuna and oceanic environmental factors for evaluating the optimum environment and their spatial distributions of yellowfin tunas. And the environmental changes caused by climate change may affect the distribution of yellowfin tuna of the Arabian Sea. This study intends to model the effect of climate change in a site-selection model i.e., scenarios given in the fourth assessment report of the Intergovernmental Panel on Climate Change (IPCC, 2013). The model selection processes of GAMs showed the cumulative deviances explained were 52%. The results showed the catch rates were significantly correlated with the temporal (year and month), spatial (longitude and latitude), environmental variables of sea surface temperature (SST), sea surface height (SSH), net primary production (NPP) and upwelling index(UP). We observed a positive association between catch rates and SST between 27.0-29.5°C, around 600-1000 mgC/m2