Seasonal potential fishing ground prediction of neon flying squid (Ommastrephes bartramii) in the western and central North Pacific |
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Authors: | Irene D. Alabia Sei‐Ichi Saitoh Robinson Mugo Hiromichi Igarashi Yoichi Ishikawa Norihisa Usui Masafumi Kamachi Toshiyuki Awaji Masaki Seito |
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Affiliation: | 1. Laboratory of Marine Environment and Resource Sensing, Graduate School of Fisheries Sciences, Hokkaido University, Hakodate, Hokkaido, Japan;2. Regional Centre for Mapping of Resources for Development ‐ SERVIR‐Africa Kasarani Road, Ruaraka, Nairobi, Kenya;3. Data Research Center for Marine‐Earth Sciences, Japan Agency for Marine Earth‐Science and Technology (JAMSTEC), Yokohama City, Kanagawa, Japan;4. Oceanographic Research Department, Meteorological Research Institute, Tsukuba, Japan;5. Graduate School of Science Division of Earth and Planetary Science, Kyoto University, Kyoto, Japan;6. Aomori Prefectural Industrial Technology Research Center, Aomori‐Shi, Aomori, Japan |
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Abstract: | We explored the seasonal potential fishing grounds of neon flying squid (Ommastrephes bartramii) in the western and central North Pacific using maximum entropy (MaxEnt) models fitted with squid fishery data as response and environmental factors from remotely sensed [sea surface temperature (SST), sea surface height (SSH), eddy kinetic energy (EKE), wind stress curl (WSC) and numerical model‐derived sea surface salinity (SSS)] covariates. The potential squid fishing grounds from January–February (winter) and June–July (summer) 2001–2004 were simulated separately and covered the near‐coast (winter) and offshore (summer) forage areas off the Kuroshio–Oyashio transition and subarctic frontal zones. The oceanographic conditions differed between regions and were regulated by the inherent seasonal variability and prevailing basin dynamics. The seasonal and spatial extents of potential squid fishing grounds were largely explained by SST (7–17°C in the winter and 11–18°C in the summer) and SSS (33.8–34.8 in the winter and 33.7–34.3 in the summer). These ocean properties are water mass tracers and define the boundaries of the North Pacific hydrographic provinces. Mesoscale variability in the upper ocean inferred from SSH and EKE were also influential to squid potential fishing grounds and are presumably linked to the augmented primary productivity from nutrient enhancement and entrainment of passive plankton. WSC, however, has the least model contribution to squid potential fishing habitat relative to the other environmental factors examined. Findings of this work underpin the importance of SST and SSS as robust predictors of the seasonal squid potential fishing grounds in the western and central North Pacific and highlight MaxEnt's potential for operational fishery application. |
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Keywords: | maximum entropy model neon flying squid North Pacific potential fishing ground satellite data |
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