水产学报2018，Vol.42Issue(6)：889-901,13.DOI:10.11964/jfc.20170610878
海州湾双斑蟳栖息分布特征与环境因子的关系
Relationship between catch distribution of Portunid crab ( Charybdis bimaculata) and environmental factors based on three species distribution models in Haizhou Bay
摘要
Abstract
There are internal relationships between the spatial and temporal distribution of species and environ-mental factors; however, the randomness and uncertainty of marine ecosystems prevent demonstrating the relation-ships in an easy way. Based on the seasonal bottom trawl survey data collected from 2011 to 2016 in Haizhou Bay and its adjacent waters, we used three species distribution models, including GLM, GAM and Random Forest to study the spatial distribution of Portunid crab (Charybdis bimaculata) and analyze the relation with environmental factors. We selected influential environmental variables and built models according to criteria such as AIC, devi-ance explanation and cross validation. The effects of environmental variables on the distribution of C. bimaculata were evaluated on the basis of the SDMs. The results showed similar results among the three models in the inter-pretation of the relationship between environmental variables and crab distribution. The GAM provided better fit to data, whereas random forest have superior predictive performances than the other models. The models illustrated significant variations of crab abundance among years and seasons, which contributed to over 18 percent and 3.8 percent of total deviance, respectively. Depth and sea surface salinity were influential environmental factors for re-lative abundance, both positive correlated with relative catches. The spatial distribution of Portunid crab was fea-tured by high catches in northeast area and low in southwest, in accordance with the water depth in Haizhou Bay. We predicted the spatial distribution of C. bimaculata across seasons using FVCOM simulation data and the ran-dom forest model to facilitate the exploitation and conservation of the fishery resources.关键词
双斑蟳/广义线性模型(GLM)/广义可加模型(GAM)/随机森林/模型比较/交叉检验Key words
Charybdis bimaculata/GLM/GAM/Random Forest/model comparison/cross validation分类
农业科技引用本文复制引用
栾静,张崇良,徐宾铎,薛莹,任一平..海州湾双斑蟳栖息分布特征与环境因子的关系[J].水产学报,2018,42(6):889-901,13.基金项目
中央高校基本科研业务费专项(201612002,201712015) Fundamental Research Funds for the Central Universities (201612002,201712015) （201612002,201712015）
