Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China

The impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that of the climate’s mean state. Based on the data of 1698 meteorological stations in China from 2001 to 2018, this study calculated the 27 extreme climate indices of the Expert Team on Climate Change...

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Main Authors: Shuang Li, Feili Wei, Zheng Wang, Jiashu Shen, Ze Liang, Huan Wang, Shuangcheng Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/10/5748
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spelling doaj-11c1b765db594b1bb548976e1a8f9a542021-06-01T00:37:14ZengMDPI AGSustainability2071-10502021-05-01135748574810.3390/su13105748Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in ChinaShuang Li0Feili Wei1Zheng Wang2Jiashu Shen3Ze Liang4Huan Wang5Shuangcheng Li6College of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaThe impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that of the climate’s mean state. Based on the data of 1698 meteorological stations in China from 2001 to 2018, this study calculated the 27 extreme climate indices of the Expert Team on Climate Change Detection and Indices (ETCCDI). Through correlation analysis and collinearity diagnostics, we selected two representative extreme temperature indices and three extreme precipitation indices. The spatial scale of the impact of extreme climate on Normalized Difference Vegetation Index (NDVI) in China during the growing season from 2001 to 2018 was quantitatively analyzed, and the complexity of the dominant factors in different regions was discussed via clustering analysis. The research results show that extreme climate indices have a scale effect on vegetation. There are spatial heterogeneities in the impacts of different extreme climate indices on vegetation, and these impacts varied between the local, regional and national scales. The relationship between the maximum length of a dry spell (CDD) and NDVI was the most spatially nonstationary, and mostly occurred on the local scale, while the effect of annual total precipitation when the daily precipitation amount was more than the 95th percentile (R95pTOT) showed the greatest spatial stability, and mainly manifested at the national scale. Under the current extreme climate conditions, extreme precipitation promotes vegetation growth, while the influence of extreme temperature is more complicated. As regards intensity and range, the impact of extreme climate on NDVI in China over the past 18 years can be categorized into five types: the humidity-promoting type, the cold-promoting and drought-inhibiting compound type, the drought-inhibiting type, the heat-promoting and drought-inhibiting compound type, and the heat-promoting and humidity-promoting compound type. Drought is the greatest threat to vegetation associated with extreme climate in China.https://www.mdpi.com/2071-1050/13/10/5748extreme climatevegetationspatial heterogeneitydominant factors
collection DOAJ
language English
format Article
sources DOAJ
author Shuang Li
Feili Wei
Zheng Wang
Jiashu Shen
Ze Liang
Huan Wang
Shuangcheng Li
spellingShingle Shuang Li
Feili Wei
Zheng Wang
Jiashu Shen
Ze Liang
Huan Wang
Shuangcheng Li
Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
Sustainability
extreme climate
vegetation
spatial heterogeneity
dominant factors
author_facet Shuang Li
Feili Wei
Zheng Wang
Jiashu Shen
Ze Liang
Huan Wang
Shuangcheng Li
author_sort Shuang Li
title Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
title_short Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
title_full Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
title_fullStr Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
title_full_unstemmed Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China
title_sort spatial heterogeneity and complexity of the impact of extreme climate on vegetation in china
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-05-01
description The impact of extreme climate on natural ecosystems and socioeconomic systems is more serious than that of the climate’s mean state. Based on the data of 1698 meteorological stations in China from 2001 to 2018, this study calculated the 27 extreme climate indices of the Expert Team on Climate Change Detection and Indices (ETCCDI). Through correlation analysis and collinearity diagnostics, we selected two representative extreme temperature indices and three extreme precipitation indices. The spatial scale of the impact of extreme climate on Normalized Difference Vegetation Index (NDVI) in China during the growing season from 2001 to 2018 was quantitatively analyzed, and the complexity of the dominant factors in different regions was discussed via clustering analysis. The research results show that extreme climate indices have a scale effect on vegetation. There are spatial heterogeneities in the impacts of different extreme climate indices on vegetation, and these impacts varied between the local, regional and national scales. The relationship between the maximum length of a dry spell (CDD) and NDVI was the most spatially nonstationary, and mostly occurred on the local scale, while the effect of annual total precipitation when the daily precipitation amount was more than the 95th percentile (R95pTOT) showed the greatest spatial stability, and mainly manifested at the national scale. Under the current extreme climate conditions, extreme precipitation promotes vegetation growth, while the influence of extreme temperature is more complicated. As regards intensity and range, the impact of extreme climate on NDVI in China over the past 18 years can be categorized into five types: the humidity-promoting type, the cold-promoting and drought-inhibiting compound type, the drought-inhibiting type, the heat-promoting and drought-inhibiting compound type, and the heat-promoting and humidity-promoting compound type. Drought is the greatest threat to vegetation associated with extreme climate in China.
topic extreme climate
vegetation
spatial heterogeneity
dominant factors
url https://www.mdpi.com/2071-1050/13/10/5748
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