Literature DB >> 34371215

Assessing vegetation stability to climate variability in Central Asia.

Ye Yuan1, Anming Bao2, Tie Liu3, Guoxiong Zheng4, Liangliang Jiang5, Hao Guo6, Ping Jiang7, Tao Yu4, Philippe De Maeyer8.   

Abstract

The dramatic climate change has far-reaching impacts on vegetation in drylands such as Central Asia. Recent attempts to assess vegetation stability to short-term climate variability often account solely for vegetation sensitivity or resilience but ignore the composite effects of these two indicators. Meanwhile, our understanding of the vegetation stability at the seasonal scale remains insufficient. In this study, considering the cumulative effects of vegetation response to three key climate factors, we assessed the stability of vegetation in Central Asia using normalized difference vegetation index (NDVI) and the meteorological data from 1982 to 2014 by integrating vegetation sensitivity and resilience, and further identified the critical regions and seasons of vegetation that experience high risks of pending change. The results show that the sensitivity of vegetation has a strong correlation (R2 = 0.83, p < 0.001) with the aridity index (AI), with the vegetation of drier areas having lower sensitivities to climate variability. At the temporal scale, the sensitivity of vegetation to climate variability varied among different seasons. The average vegetation sensitivity index (VSI) is 41.17, 33.32 and 28.63 in spring, summer and autumn, respectively. Spatially, a trade-off between vegetation sensitivity and resilience is found both for the growing season (R2 = 0.67) and seasonal scale (R2 = 0.71, 0.32 and 0.43 for spring, summer and autumn, respectively), regions with high vegetation sensitivity were always accompanied by strong resilience. Based on the relationship between vegetation sensitivity and resilience, we further identify the critical regions and periods of vegetation with high change risk in Central Asia. Results suggest that herbaceous plants in semi-arid areas present high instability, especially in summer. This study offers a comprehensive perspective to assess vegetation stability to climate variability and the results will facilitate the protection of ecosystems and the implementation of sustainable development goals in Central Asia.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  Central Asia; Climate variability; Resilience; Sensitivity; Vegetation stability

Year:  2021        PMID: 34371215     DOI: 10.1016/j.jenvman.2021.113330

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Distribution Characteristics and Restoration Application of Vegetation in Chengcun Bay Surrounding Areas of Yangjiang City.

Authors:  Shan Chen; Yuanmin Sun; Kunxian Tang; Fei Zhang; Weilun Ding; Ao Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-20       Impact factor: 4.614

  1 in total

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