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

• Published in: Journal of Ocean University of China 2012-06, Vol.11 (2), p.241-248
• Main Authors: Gong, Caixia, Chen, Xinjun, Gao, Feng, Chen, Yong
• Format: Article
• Language: English
• Subjects: Earth and Environmental Science; Earth Sciences; Fish; Habitats; Marine; Meteorology; Mollusks; Neon; Ocean temperature; Oceanography; Ommastrephes bartramii; Sea surface temperature; Spatial distribution; Spring; Surface water; Winter; 冬春季; 加权值; 多变量; 指数模型; 柔鱼; 栖息地; 西北太平洋; 队列
• ISSN: 1672-5182; 1993-5021; 1672-5174
• DOI: 10.1007/s11802-012-1898-6

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.