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基于格网的长治市生态系统服务时空演变及空间相关性分析 被引量:6

Spatial-temporal evolution and spatial correlation analysis of ecosystem services based on grid in Changzhi
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摘要 以2000—2018年长治市土地利用数据为依据,基于格网分析研究区生态系统服务的时空演变过程及空间自相关特征,得出以下结论:研究期间长治市耕地、草地、水域面积呈下降趋势,林地、建设用地、未利用土地呈上升趋势;研究区生态系统服务价值(ESV)经历了先上升后下降的发展趋势,耕地的ESV在研究期间持续下降,而林地持续上升;ESV整体呈现出东西高、中部低且西部略高于东部的分布格局;全局空间自相关表明研究期间长治市ESV区域相关性显著且表现出正向空间集聚特征,局部空间自相关表明研究区ESV的空间集聚特征基本保持稳定,呈现出西部、东北和东南高,中部低的分布格局。 Based on the land use data of Changzhi from 2000 to 2018,the spatial and temporal evolution process and spatial autocorrelation characteristics of ecosystem services in the study area were analyzed based on grid.The following conclusions were drawn:during the study period,the area of cultivated land,grassland and water area in Changzhi showed a downward trend,while that of forest land,construction land and unused land showed an upward trend;The value of ecosystem services(ESV)in the study area experienced a trend of first rising and then declining.The ESV of cultivated land continued to decline during the study period,while that of forest land continued to rise;The distribution pattern of ESV is high in the East and West,low in the middle and slightly higher in the West than in the East;The global spatial autocorrelation shows that the regional correlation of ESV in Changzhi is significant and shows positive spatial agglomeration characteristics during the study period.The local spatial autocorrelation shows that the spatial agglomeration characteristics of ESV in the study area are basically stable,showing a distribution pattern of high in the west,northeast and Southeast and low in the middle.
作者 丁娅楠 刘海龙 王炜桥 张羽 王跃飞 DING Ya-nan;LIU Hai-long;WANG Wei-qiao;ZHANG Yu;WANG Yue-fei(College of Geographical Sciences,Shanxi Normal University,Linfen 041000,China)
出处 《陕西理工大学学报(自然科学版)》 2021年第4期85-92,共8页 Journal of Shaanxi University of Technology:Natural Science Edition
基金 山西省哲学社会科学规划项目“省际边界区域产业空间联系及组合模式研究:以晋陕豫黄河金三角地区为例”(晋规办字〔2017〕2号)。
关键词 生态系统服务 时空演变 空间自相关 格网 长治市 ecosystem services spatiotemporal evolution spatial autocorrelation grid Changzhi
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