Responding time scales of vegetation production to extreme droughts over China

doi:10.1016/j.ecolind.2022.108630

	Responding time scales of vegetation production to extreme droughts over China
	Deng, Ying ; Wu, Donghai 1; Wang, Xuhui 2; Xie, Zongqiang
	2022
发表期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
卷号	136
摘要	Extreme drought events have caused extensive and severe impacts on terrestrial ecosystem in last decades in China. Given droughts may be more intense and frequent under future climate change, accurate assessment of the drought impact on vegetation primary production can provide reliably scientific supports for the carbon sink potential. Numerous existing studies have used Standardized Precipitation Evapotranspiration Index (SPEI) to discover the drought-production relationships, however, most of them just considered the strongest correlation between production and different time scales (i.e. correlation-based method), which may underestimate the production loss because of the asymmetric responses under dry and wet conditions. In this work, we proposed a new method which assumed that the dominant time scale should correspond to the lowest primary production during each drought year (extreme-based method). Based on six independent Gross Primary Productivity (GPP) products and SPEI dataset, it showed that the extreme-based method was more reasonable and robust (with a larger inter-consistency of 0.50 than that of 0.05 for correlation-based method) to determine at which time scale GPP predominantly responded to extreme droughts. And the GPP loss can be underestimated by 45 +/- 26% (mean +/- s.d.) if the time scale was randomly selected. Furthermore, spatial analysis suggested that vegetation type, water balance and soil textures mainly affected the spatial heterogeneity of the dominant time scales. In detail, forests, humid biomes, and vegetation planted in loam tended to be more sensitive to longer-term droughts. This study highlighted that optimal time-scale selection using extreme-based assumption can give more accurate estimation of the drought impacts on vegetation primary production.
关键词	Standardized Precipitation Evapotranspiration Index (SPEI) Gross Primary Productivity (GPP) Time scale Extreme droughts Linear correlation
学科领域	Biodiversity Conservation ; Environmental Sciences
DOI	10.1016/j.ecolind.2022.108630
收录类别	SCI
语种	英语
WOS关键词	NET PRIMARY PRODUCTION ; CARBON-CYCLE ; TERRESTRIAL GROSS ; CLIMATE ; IMPACT ; FLUXES ; PATTERNS ; BALANCE ; SITES
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000761397800002
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1872-7034
资助机构	Key Program of Frontier Sciences of the Chinese Academy of Sciences [QYZDY-SSW-SMCO11-2] ; National Field Station for Forest Ecosystem in Shennongjia [60216F1001, E0217G2001]
作者邮箱	yingdeng@ibcas.ac.cn
作品OA属性	gold
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28790
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China 2.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14850 USA 3.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China
推荐引用方式 GB/T 7714	Deng, Ying,Wu, Donghai,Wang, Xuhui,et al. Responding time scales of vegetation production to extreme droughts over China[J]. ECOLOGICAL INDICATORS,2022,136.
APA	Deng, Ying,Wu, Donghai,Wang, Xuhui,&Xie, Zongqiang.(2022).Responding time scales of vegetation production to extreme droughts over China.ECOLOGICAL INDICATORS,136.
MLA	Deng, Ying,et al."Responding time scales of vegetation production to extreme droughts over China".ECOLOGICAL INDICATORS 136(2022).

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