河西走廊绿洲社会-生态系统韧性时空格局演变特征
收稿日期: 2025-04-24
修回日期: 2025-07-17
网络出版日期: 2025-10-22
基金资助
甘肃省软科学项目“新质生产力助力甘肃强农惠农富农的实践进路研究”(25JRZA084)
Evolutionary characteristics of spatiotemporal patterns of resilience in oasis social-ecological systems in the Hexi Corridor
Received date: 2025-04-24
Revised date: 2025-07-17
Online published: 2025-10-22
在西北干旱区绿洲退化与人类活动加剧背景下，如何量化河西走廊绿洲社会-生态系统韧性水平并揭示其时空分异规律，已成为干旱区生态安全保障领域的关键科学问题。研究通过构建系统韧性评估指标体系，综合运用熵值法等相关方法，全面分析2015—2023年河西走廊绿洲系统韧性演变特征。结果表明：（1） 社会经济、资源管理子系统韧性总体呈上升趋势，分别从0.36升至0.46、0.38升至0.69，而生态状态子系统韧性则呈先升后降趋势，即从2015年的0.40升至2021年的0.70，后降至2023年的0.60；（2） 系统韧性总体处于稳定状态，但仍处于较低韧性水平且韧性平均得分0.35；（3） 该地区5个城市Theil指数呈上升趋势，总体Theil指数从0.18增至0.64，但在2016—2017年和2018—2019年下降，分别从0.24降至0.13、0.27降至0.13；（4） 系统核密度曲线呈拖尾特征并逐步由“单峰”向“多峰”演变。最后，研究从构建基于空间分异的水资源智能管控平台，实现精准预警与差异化调控等三方面提出对策建议。
李季 , 王静 . 河西走廊绿洲社会-生态系统韧性时空格局演变特征[J]. 干旱区研究, 2025 , 42(10) : 1887 -1898 . DOI: 10.13866/j.azr.2025.10.12
Given oasis degradation and increased human activities in the arid northwest region, quantifying the resilience of the oasis socioecological system in the Hexi Corridor and uncovering its spatio-temporal differentiation patterns have become critical issues in ecological security research for arid areas. This study developed a resilience assessment index system and conducted a comprehensive analysis of the evolution of resilience within the oasis system in the Hexi Corridor from 2015 to 2023, utilizing the entropy method alongside other relevant approaches. The findings indicate that (1) the resilience of the socioeconomic and resource management subsystems generally increased, rising from 0.36 to 0.46 and from 0.38 to 0.69, respectively. By contrast, the resilience of the ecological state subsystem initially increased, reaching 0.70 in 2021, but then declined to 0.60 in 2023, down from 0.40 in 2015; (2) overall system resilience remained stable but at a relatively low level, with an average score of 0.35; (3) the Theil index across the five cities in the region exhibited an upward trend, with the overall index rising from 0.18 to 0.64. However, it decreased from 0.24 to 0.13 between 2016 and 2017 and from 0.27 to 0.13 between 2018 and 2019; (4) the system’s kernel density curve demonstrated a tailing feature, evolving from a “single peak” to a “multipeak” pattern. Finally, the study proposed countermeasures and suggestions focusing on three areas: developing a spatially differentiated intelligent water resource management platform, implementing precise early warning systems, and enacting differentiated regulatory measures.
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