[1]She Huan,Li Peng,Wang Xiaokang,et al.Spatial relationship between ecological resilience and human activity intensity in Sanjiangyuan region from 2000 to 2020[J].Research of Soil and Water Conservation,2025,32(06):403-412.[doi:10.13869/j.cnki.rswc.2025.06.041]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
32
Number of periods:
2025 06
Page number:
403-412
Column:
Public date:
2025-10-20
- Title:
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Spatial relationship between ecological resilience and human activity intensity in Sanjiangyuan region from 2000 to 2020
- Author(s):
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She Huan1,Li Peng1,2,Wang Xiaokang3,Xiao Lie1,2,Wang Zhou3,Yang Xiuling4,Ning Jing4,Zhang Zeyu1,2
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(1.State Key Laboratory of Eco-Hydraulics in Northwest Arid Region of China,Xi'an University ofTechnology,Xi'an 710048,China;2.Key Laboratory of Ecohydrology and Disaster Prevention in Arid Regions,Xi'an 710048,China;3.Northwest Forestry Survey and Planning Institute,National Forestry and Grassland Administration,Xi'an 710001,China;4.Qinghai Provincial Forestry and Grassland Administration,Xining 810008,China)
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- Keywords:
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ecological resilience; human activity intensity; Sanjiangyuan region; spatial relationship
- CLC:
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X171.1
- DOI:
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10.13869/j.cnki.rswc.2025.06.041
- Abstract:
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[Objective] This study aims to explore the spatial relationship between ecological resilience and human activity intensity in the Sanjiangyuan region, thereby providing scientific references for enhancing ecological resilience and promoting coordinated development between humans and land. [Methods] Taking the Sanjiangyuan region as the study area, an evaluation indicator system for ecological resilience was established based on the ‘resistance-adaptability-restoration capacity’ model. A human activity intensity indicator system was established using socioeconomic and remote sensing data. A combination of the entropy weight method and the analytic hierarchy process (AHP) was employed for weighting. The spatiotemporal evolution characteristics of human activity intensity and ecological resilience from 2000 to 2020 were analyzed. Furthermore, a optimal parametersbased geodetector and a bivariate spatial autocorrelation model were applied to examine the spatial relationship between ecological resilience and human activity intensity, revealing evolution patterns of ecological resilience caused by changes in human activities. [Results] (1) During the 20-year period, ecological resistance, adaptability, restoration capacity, and overall ecological resilience all exhibited increasing trends. A spatial pattern of ‘higher in the east, lower in the west’ was observed, with high-value areas mainly concentrated in the eastern part of the study area, such as Gonghe County and Guinan County, and low-value areas in the west, such as Golmud City and Zhiduo County.(2) Human activity intensity showed a gradual increasing trend with a spatial pattern of ‘higher in the east, lower in the west’. High and relatively high values were primarily found in the eastern part of the study area such as Gonghe, Tongde, and Xinghai counties, while low and relatively low values were mainly distributed in the west, including Golmud, Zhiduo, and Qumalai counties.(3) Human activity intensity had a significant effect on ecological resilience in the Sanjiangyuan region, but its effect showed a weakening trend. The dominant spatial clustering types were High-High(HH) and Low-Low(LL). The HH clusters were mainly distributed in the southern part of Sanjiangyuan region, such as Zaduo County, Nangqian County, and Yushu City, while the LL clusters were located in western Zhiduo County and eastern counties such as Tongde, Xinghai, and Maqin. [Conclusion] Human activity intensity significantly affects ecological resilience in the Sanjiangyuan region, but its impact has been gradually decreasing in recent years.