长江科学院院报 ›› 2025, Vol. 42 ›› Issue (3): 84-91.DOI: 10.11988/ckyyb.20231294

• 水土保持与生态修复 • 上一篇    下一篇

阿里地区生态系统类型演变及敏感性分区

徐涛(), 台灵啸(), 薛羽梅, 马小伟   

  1. 陕西地矿区研院有限公司,陕西 咸阳 712000
  • 收稿日期:2023-11-23 修回日期:2024-03-26 出版日期:2025-03-14 发布日期:2025-03-14
  • 通信作者:
    台灵啸(1997-),女,河南焦作人,硕士,主要从事土地生态与可持续发展研究。E-mail:
  • 作者简介:

    徐 涛(1986-),男,陕西咸阳人,高级工程师,硕士,主要从事生态修复、环境地质等研究。E-mail:

  • 基金资助:
    地区本级重点研发及转化专项(ALKJ-BJCZ-2022-04)

Evolution and Sensitivity Zoning of Ecosystem Types in Ali Prefecture

XU Tao(), TAI Ling-xiao(), XUE Yu-mei, MA Xiao-wei   

  1. Regional Geological Survey Academe of Shaanxi Geology and Mining Group Co., Ltd., Xianyang 712000,China
  • Received:2023-11-23 Revised:2024-03-26 Published:2025-03-14 Online:2025-03-14

摘要:

以2000年、2010年、2020年Landsat影像为数据源,利用生态系统动态度和转移矩阵模型对近20 a阿里地区生态系统类型动态变化进行研究,其次基于“S-R-P”模型,选取14项指标构建敏感性评价指标体系,最终划分生态敏感分区,以期维护生态系统稳定,科学构筑生态安全屏障。结果表明:①8种生态系统类型均发生不同程度消长,动态度变化上,以城镇和农田生态系统变化最为活跃;②荒漠和草地是阿里地区生态系统演变中重要的“源”与“汇”;③生态敏感性以中、高度敏感区为主,面积16.88万km2,占比近50%,且空间分布上呈现西北高东南低、低敏感区环抱高敏感区的特征。

关键词: 生态系统, 生态敏感性, S-R-P模型, 阿里地区

Abstract:

Taking Landsat images in 2000, 2010, and 2020 as data sources, we examined the dynamic changes of ecosystem types in the Ali prefecture in Tibet autonomous region over the past two decades by using ecosystem dynamics degree and transfer matrix model. Within the “Sensitivity-Pressure-Resilience” assessment framework, we selected 14 indicators to establish a sensitivity evaluation index system to delineate ecological sensitive zones, aiming to maintain ecosystem stability and scientifically build ecological security barriers. The findings demonstrate that 1) All eight ecosystem types experienced varying degrees of changes.The degree of dynamics for urban ecosystem and agricultural ecosystem displayed the most significant changes. 2) Deserts and grasslands served as crucial “sources” and “sinks” during the ecosystem evolution in the Ali prefecture. 3) The ecological sensitive areas mainly consisted of medium- and high-sensitivity zones, covering an area of 168 800 km2, which accounted for nearly 50% of the total. Spatially, the northwest part of Ali prefecture exhibited high sensitivity, while the southeast part low sensitivity, with low-sensitivity areas encircling high-sensitivity areas.

Key words: ecosystem, ecological sensitivity, S-R-P model, Ali prefecture

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