中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data

文献类型:期刊论文

作者Jin, Jiaxin1,2,7; Cai, Yulong1; Guo, Xi3; Wang, Longhao4; Wang, Ying5; Liu, Yuanbo6
刊名JOURNAL OF GEOGRAPHICAL SCIENCES
出版日期2023-11-01
卷号33期号:11页码:2159-2174
ISSN号1009-637X
关键词transpiration soil moisture vapor pressure deficit decoupling SIF
DOI10.1007/s11442-023-2170-2
通讯作者Jin, Jiaxin(jiaxinking@hhu.edu.cn)
英文摘要Transpiration (Tc) is a critical component of the global water cycle. Soil moisture (SM) and vapor pressure deficit (VPD) are key regulators of Tc, and exploring their contributions to changes in Tc can deepen our understanding of the mechanisms of water cycling in terrestrial ecosystems. However, the driving roles of VPD and SM in Tc changes remain debated because of the coupling of SM and VPD through land-atmosphere interactions which restrict the quantification of the independent effects of SM and VPD on Tc. By decoupling the correlations between SM and VPD using a novel binning approach, this study analyzed the dominant drivers of vegetation transpiration in subtropical China from 2003 to 2018 based on multi-source data, including meteorological reanalysis, remotely sensed soil moisture, transpiration, and land cover data. The results show that Tc first increased and then remained stable with an increase in SM across the study area but changed slightly with increasing VPD. Overall, the relative contribution of SM to the change in Tc was approximately five times that of VPD. The sensitivities of Tc to SM and VPD differed among vegetation types. Although the sensitivity of Tc to SM was greater than that of VPD for all four vegetation types, the thresholds of Tc in response to SM were different, with the lowest threshold (approximately 35%) for the other forests and the highest threshold (approximately 55%) for short wood vegetation. We infer that this is associated with the differences in ecological strategies. To verify the reliability of our conclusions, we used solar- induced chlorophyll fluorescence (SIF) data as a proxy for Tc based on the tight coupling between photosynthesis and transpiration. Consistent results were obtained by repeating the analyses. The results of this study, in which the impacts of SM and VPD on Tc were decoupled, are beneficial for further understanding the critical processes involved in water cycling in terrestrial ecosystems in response to climate change.
WOS关键词CANOPY CONDUCTANCE ; LAND EVAPORATION ; SOIL-MOISTURE ; WATER ; MORTALITY ; DROUGHT ; EVAPOTRANSPIRATION ; SENSITIVITY ; CLIMATE
资助项目National Key R&D Program of China[2018YFA0605402] ; National Natural Science Foundation of China[41971374]
WOS研究方向Physical Geography
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:001134318400006
资助机构National Key R&D Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/202026]  
专题中国科学院地理科学与资源研究所
通讯作者Jin, Jiaxin
作者单位1.Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Peoples R China
2.Hohai Univ, Key Lab Water Big Data Technol, Minist Water Resources, Nanjing 210024, Peoples R China
3.Jiangxi Agr Univ, Coll Land Resources & Environm, Nanchang 330045, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Nanjing Xiaozhuang Univ, Sch Tourism & Social Management, Nanjing 211171, Peoples R China
6.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Peoples R China
7.Natl Earth Syst Sci Data Ctr, Natl Sci & Technol Resource Sharing Serv Platform, Beijing 100101, Peoples R China
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GB/T 7714
Jin, Jiaxin,Cai, Yulong,Guo, Xi,et al. Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2023,33(11):2159-2174.
APA Jin, Jiaxin,Cai, Yulong,Guo, Xi,Wang, Longhao,Wang, Ying,&Liu, Yuanbo.(2023).Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data.JOURNAL OF GEOGRAPHICAL SCIENCES,33(11),2159-2174.
MLA Jin, Jiaxin,et al."Decoupled driving forces of variabilities of transpiration in Chinese subtropical vegetation based on remote sensing data".JOURNAL OF GEOGRAPHICAL SCIENCES 33.11(2023):2159-2174.

入库方式: OAI收割

来源:地理科学与资源研究所

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