干旱区研究

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2023 , Vol. 40 >Issue 6: 1002 - 1013

DOI: https://doi.org/10.13866/j.azr.2023.06.15

生态与环境

河湟地区生态脆弱性时空演变及影响因素研究

  • 齐润泽 ,
  • 潘竟虎
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  • 西北师范大学地理与环境科学学院，甘肃 兰州 730070
齐润泽（1996-），男，硕士研究生，主要从事生态环境遥感研究. E-mail: qirunze_gis@163.com

收稿日期: 2022-10-26

  修回日期: 2023-03-09

  网络出版日期: 2023-06-21

基金资助

甘肃省自然科学基金项目(21JR7RA145)

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Spatial and temporal evolution of ecological vulnerability and its influencing factors in the Hehuang area

  • Runze QI ,
  • Jinghu PAN
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  • College of Geography and Environmental Science of Northwest Normal University, Lanzhou 730070, Gansu, China

Received date: 2022-10-26

  Revised date: 2023-03-09

  Online published: 2023-06-21

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摘要

基于暴露度-敏感性-适应力生态脆弱性概念模型构建评价指标体系，利用投影寻踪模型和遗传算法确定指标权重，计算了河湟地区生态脆弱性指数，采用时空扫描探究生态脆弱性空间聚集特征及时空变化规律，借助地理探测器研究生态脆弱性的影响因素。结果表明：2000—2020年河湟地区生态脆弱性以轻度脆弱与中度脆弱为主，空间分布存在明显的地域差异。生态脆弱性存在明显的时间聚集性与局部的空间聚集特征，高值集聚与低值集聚共存，空间集聚主要分布于甘肃省境内。2000—2020年生态脆弱度整体呈降低趋势，53.36%的土地生态脆弱性有所降低。对生态脆弱性影响最大的因子是植被覆盖度，其次是沙漠化指数、植被净初级生产力、干旱指数、生境质量指数、海拔等。

关键词： 生态脆弱性; 黄河流域生态保护; 时空扫描; 地理探测器; 影响因素; 河湟地区

本文引用格式

齐润泽 , 潘竟虎 . 河湟地区生态脆弱性时空演变及影响因素研究[J]. 干旱区研究, 2023 , 40(6) : 1002 -1013 . DOI: 10.13866/j.azr.2023.06.15

Abstract

An evaluation index system was constructed based on a concept model for exposure sensitivity adaptation ecological vulnerability. A projection pursuit model and genetic algorithm were used to determine the index weight, and the ecological vulnerability index was calculated for the Hehuang region. Spatio-temporal scanning was used to explore the spatial aggregation characteristics and spatio-temporal change laws for ecological vulnerability. The factors influencing ecological vulnerability were explored with the aid of geographical detectors. From 2000 to 2020, the ecological vulnerability of the Hehuang region was found to predominately be light and medium, with obvious regional differences in the spatial distribution. Ecological vulnerability has obvious characteristics for time and local spatial aggregation. High value aggregation and low value aggregation can coexist, and spatial aggregation is mainly distributed in Gansu Province. From 2000 to 2020, the ecological vulnerability of 53.36% of the land decreased. The most influential factor on ecological vulnerability is vegetation coverage, followed by desertification index, net primary productivity of vegetation, drought index, habitat quality index, and altitude.

Key words： ecological vulnerability; ecological protection of the Yellow River basin; spatio-temporal scanning; geographic detector; influence factors; Hehuang area

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