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黄海中南部越冬鳀空间格局的年际变化
引用本文:牛明香,王俊.黄海中南部越冬鳀空间格局的年际变化[J].海洋环境科学,2019,38(2):263-271.
作者姓名:牛明香  王俊
作者单位:中国水产科学研究院黄海水产研究所,山东青岛266071;农业部海洋渔业可持续发展重点实验室,山东青岛266071;山东省渔业资源与生态环境重点实验室,山东青岛266071;中国水产科学研究院黄海水产研究所,山东青岛266071;农业部海洋渔业可持续发展重点实验室,山东青岛266071;山东省渔业资源与生态环境重点实验室,山东青岛266071;青岛海洋科学与技术试点国家实验室海洋生态与环境科学功能实验室,山东青岛266200
基金项目:国家自然科学基金青年基金(41506162);国家自然基金委员会-山东省人民政府联合资助海洋科学研究中心项目(U1406403);农业部财政项目"黄渤海渔业资源调查
摘    要:探索式空间数据分析(ESDA)方法能揭示复杂的空间现象,诊断鱼类种群的动态空间模式,是深入了解和把握黄海中南部越冬鳀空间格局和演化规律的有效手段之一。本文基于ESDA方法,结合GIS技术,利用2002~2015年的底拖网调查数据和遥感海表温度,分析了冬季黄海中南部鳀的空间格局及动态变化,并探讨了其空间格局与水温的关系。结果表明,2002~2015年,大多数年份鳀资源密度水平相似的站位呈空间集聚分布,但空间集聚程度无年间变动规律;资源密度的高值聚集区主要分布在调查区域的中东部水域,而低值聚集区则主要分布在西部沿岸区域和北部区域。与水温关系研究表明,鳀资源密度高值聚集区分布在黄海暖流暖水舌及以东区域,而低值聚集区主要分布在冷暖水交汇区域;高高类型聚集区资源密度重心纬度与适宜等温线平均纬度变化趋势基本一致,表明高高类型聚集区在纬度方向上的移动受海水温度变化的影响。

关 键 词:探索式空间数据分析(ESDA)  GIS  空间格局  海表温度  
收稿时间:2017-11-16

Inter-annual variations of spatial pattern of wintering anchovy, Engraulis japonicus in central and southern Yellow Sea
Ming-xiang NIU,Jun WANG.Inter-annual variations of spatial pattern of wintering anchovy, Engraulis japonicus in central and southern Yellow Sea[J].Marine Environmental Science,2019,38(2):263-271.
Authors:Ming-xiang NIU  Jun WANG
Institution:1.Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
Abstract:Exploratory spatial data analysis (ESDA) can reveal complex spatial phenomenon and identify dynamic spatial pattern of fish population.It is a powerful tool to help us understand the spatial pattern and change of wintering anchovy (Engraulis japonicus) in central and southern Yellow Sea.On the basis of ESDA and GIS, this study investigated the spatial pattern and dynamic variations of wintering anchovy and its relationship with water temperature, using data collected by bottom trawl surveys and remote sensing in the central and southern Yellow Sea, during 2002-2015.The results indicated that the stations with similar stock density of anchovy aggregated in most years, but there wasn't change rule about the aggregating degree between years.The aggregation areas with high stock density were located in the central and eastern waters, and the aggregation areas with low stock density were located in the coastal and northern areas.The relationship between spatial pattern of wintering anchovy and water temperature showed that the high-high areas of stock density gather at the tongue of Yellow Sea warm current and its east regions, and the low-low areas of stock density are concentrated between the converging areas of cold water and warm water.There was a good correspondence between the latitude center of high-high areas of wintering abundance and the mean latitude of the preferred temperature isotherms, suggesting that the latitudinal distribution of high-high aggregation areas is affected by water temperature.
Keywords:
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