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作 者:袁兴伟[1] 刘尊雷[1] 张辉[1] 姜亚洲[1] 金艳[1] 程家骅[1] YUAN Xing-wei;LIU Zun-lei;ZHANG Hui;JIANG Ya-zhou;JIN Yan;CHENG Jia-hua(Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization,Ministry of Agriculture,East China Sea Fisheries Research Institute,Chinaese Academy of Fishery Sciences,Shanghai 200090,China)
机构地区:[1]中国水产科学研究院东海水产研究所,农业部东海渔业资源开发利用重点实验室,上海200090
出 处:《渔业信息与战略》2018年第3期165-172,共8页Fishery Information & Strategy
基 金:农财专项-农业农村资源监测统计
摘 要:为全面了解山西省养殖水体占比和水产养殖经济效益的空间分布特征,通过遥感技术获取了2010年各县域水体养殖面积,并借助渔业统计年鉴,估算各县域养殖水体占比。采用全局和局部空间自相关分析方法,研究了山西省106个县(市)水产养殖效益的空间自相关性和空间异质性,并初步掌握了其空间分布特征。研究结果表明:养殖水体占比空间分布特征极不均匀,高值区域块状分布,低值区域聚集分布,中值区域呈分散状。各县域水产养殖效益表现出显著的全局空间正相关趋势;局部空间自相关分析显示,山西省水产养殖经济效益空间分布表现为两个特征:一是空间聚集,二是空间不平衡分布,其空间格局是显著的中南及东南部高、中部低的两极化分布。研究有助于系统了解山西省养殖水体利用状况及水产养殖经济效益分布特征,为水产养殖业的绿色、可持续发展提供数据支撑。In an effort to acquaint the spatial distribution characteristics of the utilization ratio of aquaculture water and the economic benefits of aquaculture in Shanxi Province,the water area at county level was obtained by remote sensing technology in 2010. Combined the data from Statistics of China Fisheries,we estimated the utilization ratio of aquaculture water of 106 counties in Shanxi Province. The spatial autocorrelation and spatial heterogeneity of the economic benefits of aquaculture were analyzed by the global and local spatial autocorrelation,and preliminary understanding of its spatial distribution characteristics was obtained. The results were as follows: the spatial distribution of the utilization ratio of aquaculture water was uneven,which was spotted at the high level,the low level and the others were clustered and dispersed,respectively. Spatial autocorrelation analysis showed that global Moran' s index was significantly positive in spatial correlations among different counties in Shanxi Province; the local spatial autocorrelation showed that the spatial distribution of the economic benefits of aquaculture in Shanxi Province had two characteristics: One was spatial imbalance,the other was spatial clustering. Highly developed regions were mainly located in the middle-east and south-east counties, while lowly developed regions were mainly located in the middle counties. The results of this study will contribute to understanding the spatial distribution of the utilization ratio of aquaculture water and the economic benefits of aquaculture in Shanxi Province, and provide foundational data for green and sustainable development for aquaculture.
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