Potential habitat hotspot of albacore tuna (Thunnus alalunga) in the South Indian Ocean using the multi-satellite data / 運用多衛星資料探討南印度洋長鰭鮪潛在棲地熱點分布

碩士 / 國立臺灣海洋大學 / 環境生物與漁業科學學系 / 107 / Albacore tuna (Thunnus alalunga) was one of the important commercial species of the Taiwanese longline fishery in the South Indian Ocean. The satellite-based oceanographic data of sea surface temperature (SST), sea surface chlorophyll-a (SSC), sea surface salinity (SSS), sea surface height (SSH), mixed layer depth (MLD) and eddy kinetic energy (EKE) with catch data collecting from Taiwanese longline fisheries were simultaneously collected during 2009-2014. The maximum entropy models (MaxEnt) was used to evaluate the effects of oceanographic conditions on the formation of potential fishing zones for albacore tuna and to explore the spatial variability of these features in the South Indian Ocean. The results from the Habitat suitability index Model revealed its potential for predicting the spatial distribution of Albacore tuna and highlighted the use of multispectral satellite images for describing potential fishing zones. The optimal range of hydrological variables in SST, SSC, SSS, SSH, MLD, EKE, respectively, for the habitat of albacore were 17-20°C, 0.09-0.12 mg m-3, 35.4-35.8 psu, 0.2-0.7 m, 50-120 m, 0.03-0.07 cm2/s2. The spatial potential fishing zone patterns were explained predominantly by SST is the most influential factor of geographic distribution in boreal dominant season (April to September). Another two environmental variables, SSS and SSC, were possibly through their effects on the tempo spatial conditions in non-dominant season. The geographic information system maps of fishing period of the predicted HSI values were overlapped by the observed CPUE, suggesting that the model can be used as a tool for reliable prediction of potential fishing grounds with the development of management regulations.

Identiferoai:union.ndltd.org:TW/107NTOU5451007
Date January 2019
CreatorsYang, Wan-Chen, 楊宛蓁
ContributorsLee, Ming-An, 李明安
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format73

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