Differential vegetation drought adaptability in global karst areas

Karst vegetation ecosystems are highly sensitive to climate change. However, relative to the other vegetation ecosystems, the adaptability of the vulnerable vegetation in the karst ecosystem to drought events remains unclear, especially in quantifying the contribution of different factors, including forest age, canopy height, terrain slope, precipitation, and human population. Here, we developed an evaluation framework based on a vegetation response intensity (RI), which includes drought stress windows and delayed vegetation response windows to detect vegetation adaptability to drought stress. Results show that the vegetation adaptability in global karst areas shows an increasing trend (-0.06 yr-1, p < 0.01), but shows significant differences. Although vegetation in all karst regions shows weak adaptability to short-term sudden droughts, vegetation adaptability in Europe (RI = 0.05) and North America (RI = 0.10) is significantly stronger than that in southwest China (RI = 0.23) for long-term drought. Notably, although the ecological restoration process can rapidly increase greenery in sensitive and fragile karst areas, the artificially restored vegetation with a lower age lacks adaptability to drought events in the short term. The adaptability of vegetation in karst areas to drought is mainly influenced by forest age (improved: 16.67%), slope (degraded: 18.87%), precipitation (degraded: 32.27%), and population (degraded: 31.22%) disturbance. Ecosystems with more complete ecological succession and longer duration exhibit strong adaptability to drought.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-10-16
DOI
https://doi.org/10.1038/s41612-025-01223-5
Citations
3
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
3.32

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article

Differential vegetation drought adaptability in global karst areas

Jianping Duan, Hui Yang, Yuanhuizi He, Shidong Liu et al.
3 citations
npj Climate and Atmospheric Science
Plant Water Relations and Carbon Dynamics
3.32
article

Differential vegetation drought adaptability in global karst areas

Jianping Duan, Hui Yang, Yuanhuizi He, Shidong Liu, Biswajit Nath, Ni Huang, Li Wang, Wang Li, Xiyan Xu, Jianhua Cao, Fang Chen, Zheng Niu, Shengping Ding
article en
3 citations

Abstract

Karst vegetation ecosystems are highly sensitive to climate change. However, relative to the other vegetation ecosystems, the adaptability of the vulnerable vegetation in the karst ecosystem to drought events remains unclear, especially in quantifying the contribution of different factors, including forest age, canopy height, terrain slope, precipitation, and human population. Here, we developed an evaluation framework based on a vegetation response intensity (RI), which includes drought stress windows and delayed vegetation response windows to detect vegetation adaptability to drought stress. Results show that the vegetation adaptability in global karst areas shows an increasing trend (-0.06 yr-1, p < 0.01), but shows significant differences. Although vegetation in all karst regions shows weak adaptability to short-term sudden droughts, vegetation adaptability in Europe (RI = 0.05) and North America (RI = 0.10) is significantly stronger than that in southwest China (RI = 0.23) for long-term drought. Notably, although the ecological restoration process can rapidly increase greenery in sensitive and fragile karst areas, the artificially restored vegetation with a lower age lacks adaptability to drought events in the short term. The adaptability of vegetation in karst areas to drought is mainly influenced by forest age (improved: 16.67%), slope (degraded: 18.87%), precipitation (degraded: 32.27%), and population (degraded: 31.22%) disturbance. Ecosystems with more complete ecological succession and longer duration exhibit strong adaptability to drought.

npj Climate and Atmospheric ScienceVol. 8(1)
University of Copenhagen (DK), UNESCO (FR), Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Beijing Normal University (CN), China Institute of Water Resources and Hydropower Research (CN), Beijing Institute of Big Data Research (CN), RS Dynamics (Czechia) (CZ), Aerospace Information Research Institute (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), University of Chittagong (BD)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Plant Water Relations and Carbon Dynamics
3.32
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