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Responding time scales of vegetation production to extreme droughts over China

文献类型：期刊论文

作者Deng, Ying; Wu, Donghai3; Wang, Xuhui2; Xie, Zongqiang
刊名ECOLOGICAL INDICATORS
出版日期2022
卷号136
ISSN号1470-160X
关键词Standardized Precipitation Evapotranspiration Index (SPEI) Gross Primary Productivity (GPP) Time scale Extreme droughts Linear correlation
DOI10.1016/j.ecolind.2022.108630
文献子类Article
英文摘要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.
学科主题Biodiversity Conservation ; Environmental Sciences
电子版国际标准刊号1872-7034
出版地AMSTERDAM
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)
语种英语
出版者ELSEVIER
WOS记录号WOS:000761397800002
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]
源URL[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.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China
2.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14850 USA
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, 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).

入库方式： OAI收割

来源：植物研究所

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