水生生物学报2025，Vol.49Issue(7)：21-30,10.DOI:10.7541/2025.2024.0431
浙江近海多钩钩腕乌贼栖息分布特征与环境因子的关系
RELATIONSHIP BETWEEN HABITAT DISTRIBUTION CHARACTERISTICS AND ENVIRONMENTAL FACTORS OF ABRALIA MULTIHAMATA IN ZHEJIANG OFFSHORE
摘要
Abstract
Abralia multihamata is an important cephalopod species in Zhejiang offshore with a high biomass in the continental shelf waters of the East China Sea.It serves as an important bait organism for marine fish.In this study,the biomass of Abralia multihamata was estimated by using the swept area method based on trawl survey data and marine environmental data collected in spring and autumn of 2018 to 2023 in Zhejiang offshore.The relationship between habitat distribution characteristics of Abralia multihamata and environmental factors in spring and autumn was analyzed using generalized additive model(GAM).The results showed that the average biomass of Abralia multi-hamata in the Zhejiang offshore exhibited notable seasonal variation.It was mainly distributed within the sea area 27°—29°N,122°—124°E with a depth of 40-70 m.The factors influencing the cephalopod biomass included longi-tude,latitude,depth,sea surface temperature(SST),sea surface salinity(SSS),and dissolved oxygen concentration(DO).The optimum SST was 14-18℃in spring and 18-22℃in autumn.The effect of SSS and DO on the biomass of Abralia multihamata were not significant during the spring season.The optimum SSS was 27‰-35‰ and the opti-mum DO was found in the range of 7-11 mL/L in autumn.Furthermore,the findings of this study provide a scientific foundation for the conservation of cephalopod resources in Zhejiang offshore,especially in light of the challenges posed by climate change.关键词
广义加性模型/栖息分布/环境因子/浙江近海/多钩钩腕乌贼Key words
Generalised additive model/Habitat distribution/Environmental factors/Zhejiang offshore/Abralia multi-hamata分类
水产学引用本文复制引用
李建雄,陈峰,戴乾,蒋日进,徐开达,周永东,梁君,朱凯..浙江近海多钩钩腕乌贼栖息分布特征与环境因子的关系[J].水生生物学报,2025,49(7):21-30,10.基金项目
国家重点研发计划(2023YFD2401901) （2023YFD2401901）
浙江省公益技术应用研究项目(LGN21C190005)资助[Supported by National Key Research and Development Program of China(2023YFD2401901) （LGN21C190005）
Zhejiang Province Public Welfare Technology Application Research Project(LGN21C190005)] （LGN21C190005）
