基于GAM模型的东海中南部大黄鱼资源密度分布及其与环境因子的关系Relationship Between Spatial-Temporal Distribution of Larimichthys crocea with Environment Factors in South Central East China Sea Based on Generalized Additive Model
谢世君,刘世刚,宋普庆,王芮,李渊,王艺红,黄凌风,林龙山
摘要(Abstract):
为探究大黄鱼(Larimichthys crocea)资源密度与海洋环境因子之间的关系,本文基于2018年秋季和2019年春季东海中南部两个航次渔业资源调查数据,采用广义加性模型(Generalized additive model, GAM)对大黄鱼资源密度及其与环境因子的关系进行了研究。研究表明,大黄鱼尾数密度和生物量密度秋季为106.2 ind/km~2和6.57 kg/km~2,春季为7.9 ind/km~2和0.45 kg/km~2。春季大黄鱼分布重心位于鱼山渔场,秋季分布重心南移进入温台渔场。广义加性模型分析结果表明:春秋两季最优模型均由离岸距离、温度、盐度组成,其中秋季最优模型的温度和盐度因子均为底层水体,而春季环境因子均为表层水体;春秋两季大黄鱼生物量密度均随温度上升而下降;秋季随着底层盐度的增加先上升后下降,最适底层盐度为33.7;春季随表层盐度升高而呈单调增加趋势。春季和秋季大黄鱼分布受到了不同水层环境的影响,这是由其栖息和繁殖特性的季节变动所导致的。本研究结果阐明了春秋季东海中南部大黄鱼资源分布情况及其对海洋环境因子的响应。
关键词(KeyWords): 大黄鱼;时空分布;资源密度;环境因子;广义加性模型;东海
基金项目(Foundation): 国家重点研究发展计划项目(2018YFC1406302);; 福建省科技计划引导性项目(2022N0023)资助~~
作者(Author): 谢世君,刘世刚,宋普庆,王芮,李渊,王艺红,黄凌风,林龙山
DOI: 10.16441/j.cnki.hdxb.20230174
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