Spatiotemporal evolution and obstacle identification of complex ecosystem resilience in the Qilian Mountain area
Received date: 2023-05-10
Revised date: 2023-06-19
Online published: 2024-03-14
The Qilian Mountain area is an important ecological function area and one of the most fragile ecological areas in China. Our objective is to study the natural economic-social ecosystem resilience in the Qilian Mountain area to effectively manage ecological challenges. To achieve this, we constructed a three-dimensional spatial vector model, coupling coordination model, and obstacle degree model. These models were employed to measure complex ecosystem resilience and subsystem coupling coordination in the Qilian Mountain area from 2007 to 2021. Additionally, we aimed to reveal obstacles affecting the improvement of the complex ecosystem resilience and analyze the spatial evolution process of complex ecosystem resilience using geographic information system technology. The results show the following: (1) Complex ecosystem resilience in the Qilian Mountain area is increasing, following a spatial decrease trend from the east to the west. Natural subsystem resilience is declining, with a spatial trend of decreasing from the central east to northwest. The economic subsystem resilience is increasing rapidly, with high economic resilience concentrated in the east and north. Social subsystem resilience rises modestly, with high social resilience concentrated in the eastern part of the area. (2) The complex ecosystem resilience coupling in the Qilian Mountain area has considerably improved, reaching a high-level coupling degree, and the degree of coupling coordination shows a fluctuating increase, reaching an intermediate coordination level. (3) The natural subsystem greatly impacts the improvement of complex ecosystem resilience, and the obstacle degree of the indicators from the economic subsystem exhibits a notable increase.
LIU Honghong , LIU Shufang . Spatiotemporal evolution and obstacle identification of complex ecosystem resilience in the Qilian Mountain area[J]. Arid Land Geography, 2024 , 47(2) : 237 -247 . DOI: 10.12118/j.issn.1000－6060.2023.214
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