基于土地利用变化的山区城市生境质量时空演变分析
Spatio-Temporal Evolution Analysis of Habitat Quality in Mountain City Based on Land Use Change
DOI: 10.12677/ag.2024.1411135, PDF,   
作者: 张博航*：曼彻斯特大学自然科学学院，英格兰 曼彻斯特；周 艳：合肥工业大学城市规划系，安徽 合肥
关键词: InVEST模型；生境质量；土地利用；休宁；InVEST Model； Habitat Quality； Land Use； Xiuning
摘要: 山区城市对于维护全球生态安全具有重要的作用，分析山区城市生境质量的时空演变特征，对于山区城市生态环境可持续发展具有重要价值和意义。以典型的山区城市中国休宁县为研究区，基于2000、2010和2020年休宁县土地利用数据，应用InVEST模型分析休宁县生境质量时空演变特征。结果表明：休宁县土地利用类型主要包括林地、耕地、建设用地、草地和水域，林地面积最大。2000~2020年内建设用地、林地和草地的面积增加，耕地和水域的面积减少。2000~2020年，休宁县低、较低和中等生境质量的面积均减少，较高和高生境质量面积均增加，休宁县生境质量在过去20年内得到了提高。最后，研究提出针对性的发展建议。研究结果可为休宁县及类似山区城市的生态环境保护与城市发展建设提供科学的决策依据。
Abstract: Mountain city play an important role in maintaining global ecological security. Analyzing the spatiotemporal evolution characteristics of habitat quality is of great value and significance for the sustainable development of ecological environment in mountain city. Taking Xiuning County, a typical mountain city in China, as the research area, the InVEST model is applied to analyze the spatiotemporal evolution characteristics of habitat quality based on the land use data of Xiuning County in 2000, 2010 and 2020. The results indicate that the land use types in Xiuning County mainly include forest land, cultivated land, construction land, grassland, and water area, with forest land having the largest area. The area of construction land, forest land, and grassland increased from 2000 to 2020, while the area of cultivated land and water decreased. From 2000 to 2020, the areas of low, relatively low, and medium habitat quality in Xiuning County decreased, while the areas of relatively high and high habitat quality increased. The habitat quality in Xiuning County has improved in the past 20 years. Finally, the study proposes targeted development suggestions. The research results can provide scientific decision-making basis for ecological environment protection and urban development construction in Xiuning County and other similar mountain cities.
文章引用：张博航, 周艳. 基于土地利用变化的山区城市生境质量时空演变分析[J]. 地球科学前沿, 2024, 14(11): 1443-1451. https://doi.org/10.12677/ag.2024.1411135

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