A Logistic regression model on relationship between sardine Sardina pilchardus fishing ground and environmental variables in the coastalwaters of W est Africa
Key Laboratory of East China Sea&Oceanic Fishery Resources Exploitation and Utilization，Ministry of Agriculture，East China Sea Fisheries Research Institute，Chinese Academy of Fishery Sciences，Shanghai 200090，China
Abstract: In the study，a Logistic regression model on relationship between sardine Sardina pilchardus fishing ground and environmental variableswas established by stepwise regressionmethod based on fishing logbook，spatial information and oceanic environmental factors，including sea surface temperature（SST），chlorophyll-a concentration（Chl）and sea surface heightanomaly（SSHA）in western Africa coastal region from 2007 to 2011 in order to evaluate the optimal regressionmodel and each environmental variable impacting the fishing ground in different seasons.Results showed that therewasa close relationship between the occurrence of sardine population and geographical position.Itwas found that environmental factors played different roles in sardine distribution in different seasons：SST and SSHA showing significant affecting on the occurrence of the fish in spring，Chl and SSHA in summer，and SST in autumn and SSHA in winter.The findings provide definite referential value to analyze the formation mechanism of sardine fishing grounds.
崔雪森, 伍玉梅, 周爱忠, 张禹, 樊伟. 基于Logistic回归模型的西非沿海欧洲沙丁鱼渔场与环境因素关系模型的构建[J]. 大连海洋大学学报, 2016, 31(2): 211-218.
CUIXue-sen, WU Yu-mei, ZHOU Ai-zhong, ZHANG Yu, FANWei. A Logistic regression model on relationship between sardine Sardina pilchardus fishing ground and environmental variables in the coastalwaters of W est Africa. Journal of Dalian Ocean University, 2016, 31(2): 211-218.
2016, Vol. 31 
