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作 者:李保杰 褚帅 顾和和[2] LI Baojie;CHU Shuai;GU Hehe(School of Geography&Geomatics and Urban-rural Planning,Jiangsu Normal University,Xuzhou 221116,China;School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China)
机构地区:[1]江苏师范大学地理测绘与城乡规划学院,江苏徐州221116 [2]中国矿业大学环境与测绘学院,江苏徐州221116
出 处:《地域研究与开发》2023年第2期167-172,共6页Areal Research and Development
基 金:江苏高校优势学科建设工程资助项目(PAPD);江苏高校哲学社会科学研究项目(2022SJYB1146);江苏省教育科学“十二五”规划高教重点资助课题(B-a/2015/01/014)。
摘 要:以2001年、2011年和2021年3期遥感影像为数据源,借助格网GIS技术、价值当量因子法和空间统计模型,研究淮海经济区生态服务价值的时空分异特征。结果表明:(1)2001—2021年,耕地面积呈持续减少的变化趋势,减少了739035.40 hm^(2),变化率为-9.53%;而建成区面积增加了794144.78 hm^(2),变化率为64.23%,其他地类的面积变化不大。(2)研究区生态系统服务价值逐年减少,20年间共减少了367.22亿元,主要是由于耕地减少和建成区的面积增加,就11项单项生态系统服务价值变化而言,6项呈逐年减少的变化趋势。(3)研究区格网单元内的生态系统服务价值Moran’s I从0.771降至0.703,表明生态系统服务价值呈现出一定的空间集聚特征且空间趋同性有所降低。生态系统服务价值低-低集聚区的面积占比由18.36%降至13.96%,高-高集聚区的面积占比为5.53%,2011年增加到5.67%,2021年减至4.86%。Based on the remote sensing images of 2001,2011 and 2021,the temporal and spatial variation characteristics of ecosystem service value in Huaihai Economic Zone were analyzed by means of grid GIS technology,value equivalent factor method and spatial statistical analysis method.The results showed that:(1)From 2001 to 2021,the cultivated land area showed a continuous decreasing trend,which decreased by 739035.40 hm^(2) and the change rate was-9.53%;the built-up area increased by 794144.78 hm^(2),and the change rate was 64.23%.The area of other land types changed little.(2)The ecosystem service value in the study area showed a continuous decreasing trend,with a total decrease of CNY 367.22 billion,mainly due to the decrease of cultivated land and the increase of built-up area.In terms of the changes of 11 individual ecosystem service values,6 items showed a decreasing trend year by year.(3)The Moran’s I of ecosystem service value in the study area decreased from 0.771 to 0.703,indicating that the ecosystem service value showed certain spatial agglomeration characteristics and spatial convergence decreased.The proportion of low-value areas of ecosystem service value decreased from 18.36%to 13.96%,while the proportion of high-high agglomeration areas increased from 5.53%to 5.67%,and finally decreased to 4.86%.
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