摘要
全球变暖等气候变化使渔业资源有向两极移动的趋势,导致渔业生物多样性的变化和生物量随纬度的变化,后者表现为生物量平均温度(mean temperature of the biomass,MTB)的改变。为充分了解黄海渔业资源多样性、生物量及MTB的长期时空动态,本研究基于2000、2009和2018年每年秋季(10月)底拖网调查数据,选择生物量占比超过0.05%的种类作为黄海渔业资源的表征种类,结合海表面温度(sea surface temperature,SST)遥感数据,对黄海鱼类、甲壳类和头足类等重要渔业生物的多样性时空分布及其与SST的关系,生物量及MTB的时空分布进行分析。结果显示,2000、2009和2018年的表征种类分别为39、37和46种。2009年丰度的绝对优势种占比最高,而2000年丰度的绝对优势种占比最低。生物量占比方面,鱼类各年份占比均高于70%,呈先下降后上升的趋势,甲壳类占比由11.45%增至25%以上,头足类占比最小(<1%)且不断下降。在生物多样性指数时空分布方面,Berger-Parker指数和Shannon-Wiener多样性指数的空间分布趋势相反,且未发现经向或纬向的变化趋势;Margalef丰富度指数高值区主要分布在黄海南部海域。SST与生物多样性指数间无显著线性关系(P>0.05)。MTB呈西南高、东北低的趋势,且在34°N附近变化明显,黄海深水区低于近岸;MTB最小值出现在黄海北部,最大值出现在调查海域南端。
Due to climate change,the biomass and biodiversity of fishery resources are increasing at higher latitudes and decreasing at lower latitudes(reflected by the mean temperature of the biomass,MTB).Studies have shown that the change in catch composition of marine fisheries at the global scale is largely related to seawater temperature.It remains important to accurately analyze biodiversity and biomass distribution to inform the sustainable utilization and adaptive management of fishery resources.To evaluate the long-term spatiotemporal dynamics of biodiversity and MTB of fishery resources in the Yellow Sea,we selected species that account for more than 0.05%of the total biomass as representative species based on scientific bottom trawling data in autumn(October)of 2000,2009,and 2018.A total of 117 stations(39 stations each year)were surveyed by R/V Beidou.Considering that sea surface temperature(SST)is the most accessible oceanographic variable and has been shown to affect marine biomass,the impact of SST on the biodiversity of benthic fisheries in the Yellow Sea was analyzed.Therefore,the spatiotemporal distribution of fish,crustaceans,and cephalopods,their relationship with SST,and the spatiotemporal distribution of biomass and MTB were analyzed.The Shannon-Wiener,Berger-Parker,and Margalef biodiversity indices were used to evaluate distribution changes.Location-related data were matched at the same resolution(0.5°×0.5°)for further analysis.Data processing and plotting were performed using R.The results showed that 39 species in 2000,37 species in 2009,and 46 species in 2018 were representative of the total biomass collected by bottom trawling.The increase in diversity observed in 2018 may have resulted from a decrease in the abundance of dominant species.Although Liparis tanakae was dominant between years,there were significant differences in biomass proportions:27.00%in 2000,37.85%in 2009,and 22.82%in 2018.Fish showed the highest richness around 33°~34°N,and that of the southern Yellow Sea was higher than t
作者
金岳
李娜
金显仕
单秀娟
JIN Yue;LI Na;JIN Xianshi;SHAN Xiujuan(Key Laboratory of Sustainable Development of Marine Fisheries,Ministry of Agriculture and Rural Affairs,Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment,Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Qingdao,Shandong 266071,China;Laboratory for Marine Fisheries Science and Food Production Processes,Laoshan Laboratory,Qingdao,Shandong 266071,China;Shandong Changdao Fishery Resources National Observation and Research Station,Yantai,Shandong 265800,China)
出处
《渔业科学进展》
CSCD
北大核心
2023年第2期1-9,共9页
Progress in Fishery Sciences
基金
国家自然科学基金项目(31872692)
山东省泰山学者专项(TSDN202103135)
中国水产科学研究院基本科研业务费(2020TD01)共同资助。
关键词
黄海
渔业生物
多样性
时空分布
生物量平均温度
Yellow Sea
Fishery resources
Biodiversity
Spatiotemporal distribution
Mean temperature of the biomass
