Modelling the variation of demersal fish distribution in Yellow Sea under climate change

IOCAS-IR

	Modelling the variation of demersal fish distribution in Yellow Sea under climate change
	Yugui ZHU ; Yuting LIN ; Jiansong CHU ; Bin KANG ; Gabriel REYGONDEAU ; Qianshuo ZHAO ; Zhixin ZHANG ; Yunfeng WANG ; William W.L.CHEUNG
发表期刊	Journal of Oceanology and Limnology
ISSN	2096-5508
	2022-07-15
出版年	2022
卷号	v.40 期号:04 页码:258-269
文献类型	CNKI期刊论文
摘要	Climate change can affect fish individuals or schools, and consequently the fisheries. Studying future changes of fish distribution and abundance helps the scientific management of fisheries. The dynamic bioclimate envelope model(DBEM) was used to identify the “environmental preference profiles” of the studied species based on outputs from three Earth system models(ESMs). Changes in ocean conditions in climate change scenarios could be transformed by the model into those in relative abundance and distribution of species. Therefore, the distributional response of 17 demersal fishes to climate change in the Yellow Sea could be projected from 1970 to 2060. Indices of latitudinal centroid(LC) and mean temperature of relative abundance(MTRA) were used to represent the results conducted by model. Results present that 17 demersal fish species in the Yellow Sea show a trend of anti-poleward shift under both low-emission scenario(RCP 2.6) and high-emission scenario(RCP 8.5) from 1970 to 2060, with the projected average LC in three ESMs shifting at a rate of-1.17±4.55 and-2.76±3.82 km/decade, respectively, which is contrary to the previous projecting studies of fishes suggesting that fishes tend to move toward higher latitudes under increased temperature scenarios. The Yellow Sea Cold Water Mass could be the major driver resulting in the shift, which shows a potential significance to fishery resources management and marine conservation, and provides a new perspective in fish migration under climate change.
关键词	climate change dynamic bioclimate envelope model distribution shifts relative abundance demersal fish Yellow Sea
CNKI专辑号	A;D;
CNKI专辑名称	基础科学;农业科技;
CNKI专题号	D052;
CNKI专题名称	水产和渔业;
分类号	S931.1
收录类别	中科院核心 ; 中科院扩展
语种	英文;
资助项目(基金）	Supported by the National Natural Science Foundation of China (No. 42176234) ; the Chinese Arctic and Antarctic Creative Program (No. JDXT2018-01) ; the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(No. GML2019ZD0402)
文献类型	CNKI期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/187372
专题	中国科学院海洋研究所
作者单位	1.KeyLaboratoryofMariculture(MinistryofEducation),CollegeofFisheries,OceanUniversityofChina 2.SouthernMarineScienceandEngineeringGuangdongLaboratory 3.CollegeofMarineLifeScience,OceanUniversityofChina 4.ChangingOceanResearchUnit,InstitutefortheOceansandFisheries,UniversityofBritishColumbia 5.DepartmentofEcologyandEvolutionaryBiologyMaxPlanck,YaleCenterforBiodiversityMovementandGlobalChange,YaleUniversity 6.GraduateSchoolofMarineScienceandTechnology,TokyoUniversityofMarineScienceandTechnology 7.InstituteofOceanology,ChineseAcademyofSciences
推荐引用方式 GB/T 7714	Yugui ZHU,Yuting LIN,Jiansong CHU,et al. Modelling the variation of demersal fish distribution in Yellow Sea under climate change. 2022.