Vegetation resilience assessment and its climatic driving factors: Evidence from surface coal mines in northern China

Vegetation resilience is a key concept for understanding ecosystem responses to disturbances and is essential for maintaining ecosystem sustainability. However, assessing vegetation resilience remains challenging, especially for areas with significant disturbances and ecological restoration, such as...

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Veröffentlicht in:The Science of the total environment 2024-10, Vol.945, p.173803, Article 173803
Hauptverfasser: Liu, Yunxuan, Xie, Miaomiao, Wang, Huihui, Hu, Rongwei, Ji, Yuhui, Liu, Qi
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Xie, Miaomiao
Wang, Huihui
Hu, Rongwei
Ji, Yuhui
Liu, Qi
description Vegetation resilience is a key concept for understanding ecosystem responses to disturbances and is essential for maintaining ecosystem sustainability. However, assessing vegetation resilience remains challenging, especially for areas with significant disturbances and ecological restoration, such as surface coal mine ecosystems. Vegetation resilience assessment requires a combination of disturbance magnitude, recovery magnitude, and recovery time. In this study, we propose a vegetation resilience assessment method by integrating disturbance magnitude, recovery magnitude and recovery time. Forty-six surface coal mines in northern China were analysed as the study areas. A geographical detector model was used to explore the influence of climatic factors on vegetation resilience. The results indicated that the vegetation resilience curves included three shapes, inverted U-shaped, S-shaped, and monotonically decreasing, and the different disturbance-recovery relationships of the curves indicated that natural and social factors jointly changed the ecological restoration process. The vegetation resilience of the 46 surface coal mines varies widely, ranging from 0.87 to 7.22, showing a spatial decreasing trend from east to west. The explanatory power of different climatic factors on vegetation resilience by indirectly affecting hydrothermal conditions varies, with the effect of atmospheric pressure being the most significant and the superposition of the two climatic factors enhancing the effect on vegetation resilience. This study enriches the understanding of vegetation resilience assessment and provides important information to guide the differentiation of ecological restoration and resource development of surface coal mines in different regions. [Display omitted] •A vegetation resilience assessment method was proposed based on disturbance magnitude and recovery time.•Disturbance-recovery relationships vary across the 46 surface coal mines in northern China.•The vegetation resilience of the 46 surface coal mines varies widely, showing a spatial decreasing trend from east to west.•Atmospheric pressure has the strongest explanatory power for vegetation resilience.•The superposition of the two climatic factors enhancing the effect on vegetation resilience.
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However, assessing vegetation resilience remains challenging, especially for areas with significant disturbances and ecological restoration, such as surface coal mine ecosystems. Vegetation resilience assessment requires a combination of disturbance magnitude, recovery magnitude, and recovery time. In this study, we propose a vegetation resilience assessment method by integrating disturbance magnitude, recovery magnitude and recovery time. Forty-six surface coal mines in northern China were analysed as the study areas. A geographical detector model was used to explore the influence of climatic factors on vegetation resilience. The results indicated that the vegetation resilience curves included three shapes, inverted U-shaped, S-shaped, and monotonically decreasing, and the different disturbance-recovery relationships of the curves indicated that natural and social factors jointly changed the ecological restoration process. 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[Display omitted] •A vegetation resilience assessment method was proposed based on disturbance magnitude and recovery time.•Disturbance-recovery relationships vary across the 46 surface coal mines in northern China.•The vegetation resilience of the 46 surface coal mines varies widely, showing a spatial decreasing trend from east to west.•Atmospheric pressure has the strongest explanatory power for vegetation resilience.•The superposition of the two climatic factors enhancing the effect on vegetation resilience.</description><identifier>ISSN: 0048-9697</identifier><identifier>ISSN: 1879-1026</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2024.173803</identifier><identifier>PMID: 38848923</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>atmospheric pressure ; China ; Climate response ; coal ; Ecological restoration ; ecosystems ; environment ; LandTrendr algorithm ; resource management ; Surface coal mine ; vegetation ; Vegetation resilience</subject><ispartof>The Science of the total environment, 2024-10, Vol.945, p.173803, Article 173803</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. 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However, assessing vegetation resilience remains challenging, especially for areas with significant disturbances and ecological restoration, such as surface coal mine ecosystems. Vegetation resilience assessment requires a combination of disturbance magnitude, recovery magnitude, and recovery time. In this study, we propose a vegetation resilience assessment method by integrating disturbance magnitude, recovery magnitude and recovery time. Forty-six surface coal mines in northern China were analysed as the study areas. A geographical detector model was used to explore the influence of climatic factors on vegetation resilience. The results indicated that the vegetation resilience curves included three shapes, inverted U-shaped, S-shaped, and monotonically decreasing, and the different disturbance-recovery relationships of the curves indicated that natural and social factors jointly changed the ecological restoration process. The vegetation resilience of the 46 surface coal mines varies widely, ranging from 0.87 to 7.22, showing a spatial decreasing trend from east to west. The explanatory power of different climatic factors on vegetation resilience by indirectly affecting hydrothermal conditions varies, with the effect of atmospheric pressure being the most significant and the superposition of the two climatic factors enhancing the effect on vegetation resilience. This study enriches the understanding of vegetation resilience assessment and provides important information to guide the differentiation of ecological restoration and resource development of surface coal mines in different regions. 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However, assessing vegetation resilience remains challenging, especially for areas with significant disturbances and ecological restoration, such as surface coal mine ecosystems. Vegetation resilience assessment requires a combination of disturbance magnitude, recovery magnitude, and recovery time. In this study, we propose a vegetation resilience assessment method by integrating disturbance magnitude, recovery magnitude and recovery time. Forty-six surface coal mines in northern China were analysed as the study areas. A geographical detector model was used to explore the influence of climatic factors on vegetation resilience. The results indicated that the vegetation resilience curves included three shapes, inverted U-shaped, S-shaped, and monotonically decreasing, and the different disturbance-recovery relationships of the curves indicated that natural and social factors jointly changed the ecological restoration process. 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source Elsevier ScienceDirect Journals
subjects atmospheric pressure
China
Climate response
coal
Ecological restoration
ecosystems
environment
LandTrendr algorithm
resource management
Surface coal mine
vegetation
Vegetation resilience
title Vegetation resilience assessment and its climatic driving factors: Evidence from surface coal mines in northern China
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