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DOI	10.1029/2021GL092856
	Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture
	Li, Wantong; Migliavacca, Mirco; Forkel, Matthias; Walther, Sophia; Reichstein, Markus; Orth, Rene
通讯作者	Li, WT (corresponding author), Max Planck Inst Biogeochem, Dept Biogeochem Integrat, Jena, Germany.
来源期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
EISSN	1944-8007
出版年	2021
卷号	48 期号:11
英文摘要	The productivity of terrestrial vegetation is determined by multiple land surface and atmospheric drivers. Water availability is critical for vegetation productivity, but the role of vertical variability of soil moisture (SM) is largely unknown. Here, we analyze dominant controls of global vegetation productivity represented by sun-induced fluorescence and spectral vegetation indices at the half-monthly time scale. We apply random forests to predict vegetation productivity from several hydrometeorological variables including multi-layer SM and quantify the variable importance. Dominant hydrometeorological controls generally vary with latitudes: temperature in higher latitudes, solar radiation in lower latitudes, and root-zone SM in between. We find that including vertically resolved SM allows a better understanding of vegetation productivity and reveals extended water-related control. The deep(er) SM control for semi-arid grasses and shrubs illustrates the potential of deep(er) rooting systems to adapt to water limitation. This study highlights the potential to infer sub-surface processes from remote sensing observations.
类型	Article
语种	英语
开放获取类型	hybrid, Green Published
收录类别	SCI-E
WOS记录号	WOS:000663558600023
WOS关键词	INDUCED CHLOROPHYLL FLUORESCENCE ; SUN-INDUCED FLUORESCENCE ; LIGHT-USE EFFICIENCY ; LAND-SURFACE MODEL ; SATELLITE-OBSERVATIONS ; ROOTING DEPTH ; CANOPY STRUCTURE ; ECOSYSTEM WATER ; CARBON ; REANALYSIS
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368692
作者单位	[Li, Wantong; Migliavacca, Mirco; Walther, Sophia; Reichstein, Markus; Orth, Rene] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, Jena, Germany; [Forkel, Matthias] Tech Univ Dresden, Inst Photogrammetry & Remote Sensing, Dresden, Germany
推荐引用方式 GB/T 7714	Li, Wantong,Migliavacca, Mirco,Forkel, Matthias,et al. Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture[J],2021,48(11).
APA	Li, Wantong,Migliavacca, Mirco,Forkel, Matthias,Walther, Sophia,Reichstein, Markus,&Orth, Rene.(2021).Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture.GEOPHYSICAL RESEARCH LETTERS,48(11).
MLA	Li, Wantong,et al."Revisiting Global Vegetation Controls Using Multi-Layer Soil Moisture".GEOPHYSICAL RESEARCH LETTERS 48.11(2021).