Evaluating habitat suitability indices derived from CPUE and fishing effort data for Ommatrephes bratramii in the northwestern Pacific Ocean |
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| Authors: | Siquan Tian Xinjun Chen Yong Chen Liuxiong Xu Xiaojie Dai |
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| Affiliation: | 1. College of Marine Science and Technology, Shanghai Fisheries University, 334 Jungong Road, Shanghai 200090, China;2. The Key Laboratory of Shanghai Education Commission for Oceanic Fisheries Resources Exploitation, 334 Jungong Road, Shanghai 200090, China;3. School of Marine Sciences, University of Maine, Orono, ME 04469, USA;1. Tohoku National Research Institute, Fisheries Research Agency, 25-259 Aza Shimomekurakubo, Hachinohe, Aomori 031-0841, Japan;2. Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama 236-0001, Japan;3. School of Fisheries Sciences, Hokkaido University, 3-1-1 Minato-cho, Hakodate 041-8611, Japan;4. Department of Fisheries Science and Technology, National Fisheries University, 2-7-1 Nagata-Honmachi, Shimonoseki, Yamaguchi 759-6595, Japan;5. Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan;1. Centro Interdisciplinario de Ciencias Marinas, Av. Instituto Politécnico Nacional s/n, Playa Palo de Santa Rita, C.P. 23000, La Paz, Baja California Sur, Mexico;2. Posgrado en Ciencias Del Mar y Limnología, Universidad Nacional Autónoma de México, Av. Ciudad Universitaria 3000, 04510 Coyoacán, Ciudad de Mexico, Mexico;3. Independent Consultant, Fish Stock Assessment and Fisheries Management, 229 Hilliard Forest Dr., Cary, NC 27519, USA;4. Instituto del Mar del Perú, Esquina Gamarra y General Valle s/n Chucuito, Callao, Peru;5. Centro de Investigaciones Biológicas del Noroeste S.C., Av. Instituto Politécnico Nacional 195, Playa Palo de Santa Rita Sur, CP 23096, La Paz, Baja California Sur, Mexico;1. National Research Institute of Far Seas Fisheries, Fisheries Research Agency, 2-12-4 Fukuura, Kanazawa-ward, Yokohama-city, Kanagawa 236-8648, Japan;2. Japan Agency for Marine-Earth Science and Technology, 3173-25, Showa-machi, Kanazawa-ward, Yokohama-city, Kanagawa 236-0001, Japan;3. National Research Institute of Fisheries Science, Fisheries Research Agency, 2-12-4 Fukuura, Kanazawa-ward, Yokohama-city, Kanagawa 236-8648, Japan;4. School of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ward, Shizuoka-city, Shizuoka 424-8610, Japan;5. Hachinohe Station, Tohoku National Fisheries Research Institute, Fisheries Research Agency, 25-259, Shimomekurakubo, Same, Hachinohe, Aomori 031-0841, Japan;6. National Fisheries University, 2-7-1 Nagata-Honmachi, Shimonoseki-city, 759-6595, Japan;1. Instituto Español de Oceanografía, P.O. Box 1373, 38180 Santa Cruz de Tenerife, Spain;2. The Pacific Community, P.O. Box D5, 98848 Noumea, New Caledonia;3. Department of Agriculture and Water Resources, 18 Marcus Clarke St, Canberra, Australia;4. Inter-American Tropical Tuna Commission, 8604 La Jolla Shores Drive, La Jolla, CA, USA |
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| Abstract: | Neon flying squid (Ommastrephes bartramii) plays an important role in the pelagic ecosystem and is an international fishery resource with high commercial value in the North Pacific Ocean. The west stock of winter–spring cohort of this species is an important target for the squid-jigging vessels of Japan, Korea and China (including Taiwan). The squid has a life span of less than 12 months, and its population dynamics is heavily influenced by its environment. Thus, a good understanding of its interactions with the habitats, often quantified with a habitat suitability index (HSI) model, is critical in developing a sustainable fishery. In this study, using the Chinese commercial squid-jigger fishery data and corresponding environmental variables we conducted HSI modeling to evaluate the habitat of the west stock of winter–spring cohort of neon flying squid in the northwestern Pacific Ocean. We compared catch per unit effort (CPUE) and fishing effort data in HSI modeling. This study suggests that the CPUE-based HSI model tends to overestimate the ranges of optimal habitats and under-estimate monthly variations in the spatial distribution of optimal habitats. We conclude that a fishing effort-based HSI model performs better in defining optimal habitats for neon flying squid. According to the fishing-effort-based HSI model, the optimal ranges of the following key habitat variables are defined: from 16.6 to 19.6 °C for SST, from 5.8 to 12 °C for temperature at depths of 35 m, from 3.4 to 4.8 °C for temperature at depth of 317 m, from 33.10 to 33.55 psu for SSS and from ?20 cm to ?4 cm for SLH. |
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