碩士 / 國立臺灣海洋大學 / 環境生物與漁業科學學系 / 105 / Empirical habitat suitability index was widely used to detect the habitat variance of marine species in last two decades. Albacore, Thunnus alalunga, is a highly migratory species of important commercial value and widely distribution in three oceans. In this study, the satellite-derived environmental variables, including sea surface temperature (SST), sea surface height anomaly (SSHA), mixed layer depth (MLD), sea surface chlorophyll-a (SSC), eddy kinetic energy (EKE), were used to combine with catch data collecting from Taiwanese longline fisheries during 1998~2012 for establishing five kinds of empirical habitat suitability index, and identifying the optimal habitat of albacore in the North Pacific Ocean. Our results revealed that the high CPUE occurred in November to March in time and distributed over 25~40°N in space. The optimal range of hydrological variables in SST, SSHA, MLD, SSC, EKE, respectively, for the habitat of albacore are 19~22.5°C, 0.3~0.55m, 40~150m, 0.08~ 0.14mg/m3, 0.025~0.15 cm/s2. The Maximum Entropy model (MaxEnt) with five environmental variables was found to be the most appropriate model explaining the habitat variance of albacore in the North Pacific Ocean. 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.
| Identifer | oai:union.ndltd.org:TW/105NTOU5451005 |
| Date | January 2017 |
| Creators | HUNG, I-CHENG, 洪懿成 |
| Contributors | Ming-An Lee, 李明安 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 54 |
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