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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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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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Authors and Affiliations

  1. College of Marine Sciences, Shanghai Ocean University, 999 Hucheng Ring Road, Lingang New City, Shanghai, 201306, China

    Caixia Gong, **njun Chen & Feng Gao

  2. The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, 999 Hucheng Ring Road, Shanghai, 201306, China

    **njun Chen & Feng Gao

  3. School of Marine Sciences, University of Maine, Orono, Maine, 04469, USA

    Yong Chen

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  1. Caixia Gong
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  2. **njun Chen
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  3. Feng Gao
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  4. Yong Chen
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Correspondence to **njun Chen.

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Gong, C., Chen, X., Gao, F. et al. 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. J. Ocean Univ. China 11, 241–248 (2012). https://doi.org/10.1007/s11802-012-1898-6

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  • DOI: https://doi.org/10.1007/s11802-012-1898-6

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