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生态学杂志 ›› 2021, Vol. 40 ›› Issue (9): 2927-2935.doi: 10.13292/j.1000-4890.202109.022

• 研究报告 • 上一篇    下一篇

基于AHP和MSE赋权法的龙南县生态敏感性评价

何苏玲1,2,3,邹凤琼4,王金亮1,2,3*   

  1. (1云南师范大学地理学部, 昆明 650500;2云南省高校资源与环境遥感重点实验室, 昆明 650500; 3云南省地理空间信息工程技术研究中心, 昆明 650500; 4江西理工大学土木与测绘工程学院, 江西赣州 341000)
  • 出版日期:2021-09-10 发布日期:2021-09-17

Ecological sensitivity evaluation of Longnan County based on AHP and MSE weighting method.

HE Su-ling1,2,3, ZOU Feng-qiong4, WANG Jin-liang1,2,3*   

  1. (1Faculty of Geography, Yunnan Normal University, Kunming 650500, China; 2Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China; 3Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China; 4Schoolof Civil and Surveying Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China).
  • Online:2021-09-10 Published:2021-09-17

摘要: 生态敏感性是衡量区域生态脆弱的重要指标之一,其评价结果对于区域的生态保护和发展规划起着重要的导向作用。本文从土壤侵蚀与酸雨侵蚀两方面选取了7个敏感因子,在GIS支持下,将层次分析法和均方差决策法相结合分析江西省龙南县2003—2018年生态敏感性时空变化。结果表明:(1)2003—2018年,龙南县生态敏感性始终呈现出南高北低的空间格局,且随时间变化逐渐降低。(2)龙南县生态敏感性在空间上具有正相关性,且这种相关性随时间推移波动上升。(3)龙南县建设用地和耕地是生态敏感性程度较低的用地类型,林地是敏感性程度较高的土地用地类型;研究区的生态敏感性程度随坡度上升而增加。研究结果可为龙南县生态保护与国土规划提供科学参考。

关键词: 生态敏感性, 层次分析法, 均方差决策法, GIS, 空间自相关

Abstract: Ecological sensitivity is one of the important indicators for regional ecological fragility, the evaluation results from which play an important guiding role in regional ecological protection and development planning. Seven sensitive factors were selected from two aspects of soil erosion and acid rain erosion. With the support of GIS, we evaluated the spatial and temporal variations of ecological sensitivity in Longnan County, Jiangxi Province from 2003 to 2018 by combining analytic hierarchy process (AHP) and mean square deviation (MSE) decision-making method. The results showed that: (1) From 2003 to 2018, the ecological sensitivity of Longnan County always showed a spatial pattern of high in the south and low in the north, and gradually decreased over time. (2) The ecological sensitivity had a positive spatial correlation, which showed temporal fluctuation. (3) Construction land and arable land were the land types with low ecological sensitivity, while woodland showed high ecological sensitivity. The degree of ecological sensitivity in the study area increased with increasing slope. Our results can provide scientific reference for ecological protection and territorial planning of Longnan County.

Key words: ecological sensitivity, analytic hierarchy process, mean square deviation decision method, GIS, spatial autocorrelation.