摘要
本文基于1992—2012年黄渤海海域蓝点马鲛(Scomberomorus niphonius)渔获量,利用实际种群分析方法推算了蓝点马鲛再生产成功率(Recruitment Per Spawner,RPS),并研究了其与黄渤海海表面温度(Sea Surface Temperature,SST)的关系。研究表明,蓝点马鲛RPS与SST于4月在长江口附近海域负相关性较强,于5月在海州湾与长江口附近负相关性较强,于6月在辽东湾、莱州湾、海州湾负相关性较强,于8—11月在黄海西南部海域负相关性较强,以上相关性均达0.6以上(P<0.05)。根据负相关性较强区域的出现位置与时间,推测过高的SST抑制了性成熟成鱼产卵和当年幼鱼的摄食过程,从而影响次年的补充量,导致RPS降低。研究结果可为我国海洋渔业的保护、管理和开发提供一定的理论参考与数据支撑。
Based on the catching data in Bohai Sea and Yellow Sea collected from 1992 to 2012,and temperatures deduced from the East Asian marginal seas hydrodynamic model,we analyzed the relationship between the recruitment per spawner(RPS)and sea surface temperature(SST)using the virtual population analysis(VPA)method.It showed that RPS was negatively associated with SST near Yangtze Estuary in April,Haizhou Bay and Yangtze Estuary in May,Bohai Bay,Laizhou Bay and Haizhou Bay in June,and the southwestern area of Yellow Sea from August to November.The correlation reached 0.6(p<0.05).The larger correlation coefficient area corresponded to the spawning ground and feeding route at the same time.The reason was that the excessive SST that limits the range of spawning and food leads to the reduction of RPS.Our results can provide a theoretical reference and a data support for the protection,management and development of marine fisheries.
作者
王凯迪
于华明
于海庆
伊藤進一
WANG Kai-Di;YU Hua-Ming;YU Hai-Qing;ITO Shin-Ichi(College of Physical and Environmental Oceanography,Ocean University of China,Qingdao 266100,China;Physical Oceanography Laboratory,Ocean University of China,Qingdao 266003,China;Qingdao National Laboratory for Marine Science and Technology,Qingdao 266237,China;Atmosphere and Ocean Research Institute,University of Tokyo,Chiba 277-8564,Japan)
出处
《中国海洋大学学报(自然科学版)》
CAS
CSCD
北大核心
2019年第12期31-40,共10页
Periodical of Ocean University of China
基金
国家重点研发计划项目(2016YFC1401800
2016YFC1402000
2016YFC1401400)
中央高校基本科研业务专项基金项目(3001000-841564014
3006000-841762015
201562030)
国家软科学研究计划项目(ZLY2015140)
中国科学院战略性先导科技专项(XDA11010201)资助~~
关键词
蓝点马鲛
种群变动
实际种群分析方法
再生产成功率
海表面温度
Scomberomorus niphonius
population fluctuation
virtual population analysis
recruitment per spawner
sea surface temperature