长江流域资源与环境 >> 2026, Vol. 35 >> Issue (2): 417-.doi: 10.11870/cjlyzyyhj202602011

• 生态环境 • 上一篇    下一篇

长江经济带生态脆弱性时空演变与情景模拟

骆康1,关财景1,刘耀彬2*,李汝资2,魏国恩3   

  1. (1.海南大学国际商学院,海南 海口 570228;2南昌大学经济管理学院,江西 南昌 330031;3.南昌大学资源与环境学院,江西 南昌 330031)
  • 出版日期:2026-02-20 发布日期:2026-02-26

Spatial-temporal Evolution and Scenario Simulation of Ecological Vulnerability in the Yangtze River Economic Belt

LUO Kang1, GUAN Cai-jing1, LIU Yao-bin2, LI Ru-zi2, WEI Guo-en3   

  1. (1.International Business School, Hainan University, Haikou 570228, China; 2.School of Economics and Management, Nanchang University, Nanchang 330031, China; 3.School of Resources and Environment, Nanchang University, Nanchang 330031, China)
  • Online:2026-02-20 Published:2026-02-26

摘要: 生态脆弱性的多尺度评估与情景分析,对于了解区域生态环境动态变化与系统综合治理极为重要。基于压力-状态-响应(PSR)分析框架,并在熵权法(EWM)上连接有序加权平均(OWA)构建长江经济带生态脆弱性综合评价指标体系与测度模型,进而运用核密度估计、莫兰指数以及自然断点法等探索性空间数据分析方法从多尺度视角探究其生态脆弱性的时空演变特征,以及设置多情景预测未来变化趋势。结果表明,(1)长江经济带整体层面生态脆弱性呈现显著的正向相关性,局部存在“高-高”和“低-低”集聚特性,且西部地区最高、中部地区次之、东部地区最低,生态脆弱性高值区主要集中在云贵川渝地区,特别是重庆、昆明、曲靖、昭通等城市;(2)“生态保护型”决策下情景模式更加契合当前长江经济带“不搞大开发、共抓大保护”的可持续发展要求。

Abstract: Multi-scale assessment and scenario analysis of ecological vulnerability are of great significance for understanding the dynamic changes of regional ecological environment and systematic comprehensive governance.Based on the Stress-state-response (PSR) analysis framework, this paper constructed a comprehensive evaluation index system and a measurement model of ecological vulnerability in the Yangtze River Economic Belt by connecting ordered weighted average (OWA) on the entropy weight method (EWM).Furthermore, exploratory spatial data analysis methods such as kernel density estimation, Moran index, and natural break point method were employed to explore the spatial-temporal evolution characteristics of its ecological vulnerability from multiple perspectives.Multiple scenarios were set up to predict the changing trends in the future.The results showed that: (1) at the overall level of the Yangtze River Economic Belt, ecological vulnerability presented a significant positive correlation.Locally, there existed agglomeration characteristics of "high-high" and "low-low".The western region demonstrated the highest value, followed by the central region, and the lowest in the eastern region.The high-value areas of ecological vulnerability were mainly concentrated in the Yunnan-Guizhou-Sichuan-Chongqing region, especially in cities such as Chongqing, Kunming, Qujing, and Zhaotong.(2) Under the "ecological protection type" decision-making, the scenario model was shown in better line with the current sustainable development requirements of the Yangtze River Economic Belt, which was "not engaging in large-scale development, but jointly focusing on large-scale protection"

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