Implementing geostatistical analysis to study spatio-temporal distribution patterns of swimming crabs (Portunus trituberculatus)

• 作者: Wenbin Zhu Kaner Lu Zhanhui Lu Qian Dai Zhenghua Li Yongdong Zhou Siqi Huang Haichen Zhu Guocheng Cui
• 来源期刊: 海洋学报（英文版）
• 年，卷（期）: 2021,（6）
• 所属期刊栏目: Marine Biology
• 页码范围: 67-74
• 页数: 8页
• 语种: 英文

摘要

This study attempted to compare the performance of local polynomial interpolation, inverse distance weightedinterpolation, and ordinary kriging in studying distribution patterns of swimming crabs. Cross-validation was used to select the optimum method to get distribution results, and kriging was used for making spatial variability analysis. Data were collected from 87 sampling stations in November of 2015 (autumn) and February (winter), May (spring) and August (summer) of 2016. Results indicate that swimming crabs widely distributed in autumn and summer: in the summer, they were more spatially independent, and resources in each sampling station varied a lot; in the winter and spring, the abundance of crabs was much lower, but the individual crab size was bigger, and they showed the patchy and more concentrative distribution pattern, which means they were more spatially dependent. Distribution patterns were in accordance with ecological migration features of swimming crabs, which were affected by the changing marine environment. This study could infer that it is applicable to study crab fishery or even other crustacean species using geostatistical analysis. It not only helps practitioners have a better understanding of how swimming crabs migrate from season to season, but also assists researchers in carrying out a more comprehensive assessment of the fishery. Therefore, it may facilitate advancing the implementation in the pilot quota management program of swimming crabs in northern Zhejiang fishing grounds.