Importance of weighting for multi-variable habitat suitability index model: A case study of winter-spring cohort of Ommastrephes bartramii in the Northwestern Pacific Ocean |
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Authors: | Caixia Gong Xinjun Chen Feng Gao Yong Chen |
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Institution: | 2) The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, 999 Hucheng Ring Road, Shanghai 201306, China 3) School of Marine Sciences, University of Maine, Orono, Maine 04469, USA |
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Abstract: | Weighting values for different habitat variables used in multi-factor habitat suitability index (HSI) modeling reflect the
relative influences of different variables on distribution of fish species. Using the winter-spring cohort of neon flying
squid (Ommastrephes bartramii) in the Northwestern Pacific Ocean as an example, we evaluated the impact of different weighting schemes on the HSI models
based on sea surface temperature, gradient of sea surface temperature and sea surface height. We compared differences in predicted
fishing effort and HSI values resulting from different weighting. The weighting for different habitat variables could greatly
influence HSI modeling and should be carefully done based on their relative importance in influencing the resource spatial
distribution. Weighting in a multi-factor HSI model should be further studied and optimization methods should be developed
to improve forecasting squid spatial distributions. |
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Keywords: | weighting multi-factors habitat suitability index model Ommastrephes bartramii Northwestern Pacific Ocean |
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