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秘鲁外海茎柔鱼栖息地时空分布及对环境因子的响应差异
引用本文:方星楠,何妍,余为,陈新军.秘鲁外海茎柔鱼栖息地时空分布及对环境因子的响应差异[J].中国水产科学,2021,28(5):658-672.
作者姓名:方星楠  何妍  余为  陈新军
作者单位:上海海洋大学海洋科学学院, 上海 201306;上海海洋大学海洋科学学院, 上海 201306 ;国家远洋渔业工程技术研究中心, 上海 201306 ;大洋渔业资源可持续开发教育部重点实验室, 上海 201306 ;农业农村部大洋渔业开发重点实验室, 上海 201306 ;农业农村部大洋渔业资源环境科学观测实验站, 上海 201306
基金项目:国家重点研发计划项目(2019YFD0901405); 国家自然科学基金青年科学基金项目(41906073); 上海市自然科学基金项目(19ZR1423000).
摘    要:根据中国远洋渔业数据中心提供的2012-2018年东太平洋秘鲁外海茎柔鱼(Dosidicus gigas)捕捞数据,结合该海域环境数据,包括海表面温度(sea surface temperature,SST)、海表面盐度(sea surface salinity,SSS)、叶绿素a浓度(chlorophyll-a,Ch...

关 键 词:茎柔鱼  最大熵模型  时空分布  月间差异  秘鲁海域

Spatio-temporal distribution of the jumbo flying squid Dosidicus gigas off Peru and differences in the effects of environmental conditions
Fang Xingnan,He Yan,Yu Wei,Chen Xinjun.Spatio-temporal distribution of the jumbo flying squid Dosidicus gigas off Peru and differences in the effects of environmental conditions[J].Journal of Fishery Sciences of China,2021,28(5):658-672.
Authors:Fang Xingnan  He Yan  Yu Wei  Chen Xinjun
Abstract:The jumbo flying squid Dosidicus gigas is widely distributed in the eastern Pacific Ocean and has high value as one of the main economic cephalopods in China. This study combined fisheries data for D. gigas off Peru, obtained from the National Data Center of Distant-water Fisheries of China, in the eastern Pacific Ocean from 2012 to 2018, with environmental data including sea surface temperature (SST), sea surface salinity (SSS), chlorophyll-a (Chl-a), net primary production (NPP), photosynthetically active radiation (PAR), eddy kinetic energy (EKE), and sea level anomaly (SLA). We explored the temporal and spatial variation of D. gigas in fishing grounds over annual seasons using maximum entropy models (MaxEnt) to compare the effects of different environmental conditions. The results showed that the focus of fishing moved northward from January to August and southward from September to December. Longitudinally, the focus of fishing moved back and forth between 80°W and 82°W, consistent with changes in the suitability of habitat. Moreover, the key environmental factors selected were different, based on their contribution rate each month, among which SST, SSS, NPP, and PAR had major effects on habitat. According to the optimal environmental ranges obtained from the response curves of these key environmental factors, the range of suitable environments significantly overlapped with that of suitable habitats. The results indicated that the maximum entropy model was highly accurate at predicting the population abundance of D. gigas off Peru, which showed obvious monthly variations and were significantly affected by environmental factors.
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