干旱区生态环境知识资源中心(Arid): A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems

Arid

DOI	10.1111/gcb.16002
	A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems
	Burchard-Levine, Vicente; Nieto, Hector; Riano, David; Kustas, Wiliam P.; Migliavacca, Mirco; El-Madany, Tarek S.; Nelson, Jacob A.; Andreu, Ana; Carrara, Arnaud; Beringer, Jason; Baldocchi, Dennis; Pilar Martin, M.
通讯作者	Burchard-Levine, V (corresponding author), CSIC, Environm Remote Sensing & Spect Lab SpecLab, Madrid, Spain.
来源期刊	GLOBAL CHANGE BIOLOGY
ISSN	1354-1013
EISSN	1365-2486
出版年	2022
英文摘要	It is well documented that energy balance and other remote sensing-based evapotranspiration (ET) models face greater uncertainty over water-limited tree-grass ecosystems (TGEs), representing nearly 1/6th of the global land surface. Their dual vegetation strata, the grass-dominated understory and tree-dominated overstory, make for distinct structural, physiological and phenological characteristics, which challenge models compared to more homogeneous and energy-limited ecosystems. Along with this, the contribution of grasses and trees to total transpiration (T), along with their different climatic drivers, is still largely unknown nor quantified in TGEs. This study proposes a thermal-based three-source energy balance (3SEB) model, accommodating an additional vegetation source within the well-known two-source energy balance (TSEB) model. The model was implemented at both tower and continental scales using eddy-covariance (EC) TGE sites, with variable tree canopy cover and rainfall (P) regimes and Meteosat Second Generation (MSG) images. 3SEB robustly simulated latent heat (LE) and related energy fluxes in all sites (Tower: LE RMSD similar to 60 W/m(2); MSG: LE RMSD similar to 90 W/m(2)), improving over both TSEB and seasonally changing TSEB (TSEB-2S) models. In addition, 3SEB inherently partitions water fluxes between the tree, grass and soil sources. The modelled T correlated well with EC T estimates (r > .76), derived from a machine learning ET partitioning method. The T/ET was found positively related to both P and leaf area index, especially compared to the decomposed grass understory T/ET. However, trees and grasses had contrasting relations with respect to monthly P. These results demonstrate the importance in decomposing total ET into the different vegetation sources, as they have distinct climatic drivers, and hence, different relations to seasonal water availability. These promising results improved ET and energy flux estimations over complex TGEs, which may contribute to enhance global drought monitoring and understanding, and their responses to climate change feedbacks.
英文关键词	3SEB ecohydrology evapotranspiration phenology remote sensing surface energy balance transpiration tree-grass ecosystem TSEB
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000724883100001
WOS关键词	LATENT-HEAT FLUXES ; STOMATAL CONDUCTANCE ; PRIESTLEY-TAYLOR ; INTERANNUAL VARIABILITY ; SAVANNA VEGETATION ; AFRICAN SAVANNA ; CARBON-DIOXIDE ; WATER-STRESS ; IN-SITU ; SOIL
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374678
作者单位	[Burchard-Levine, Vicente; Riano, David; Pilar Martin, M.] CSIC, Environm Remote Sensing & Spect Lab SpecLab, Madrid, Spain; [Nieto, Hector] Complutum Tecnol Informac Geograf SL COMPLUTIG, Alcala De Henares, Spain; [Riano, David] Univ Calif Davis, Ctr Spatial Technol & Remote Sensing CSTARS, John Muir Inst Environm, Davis, CA USA; [Kustas, Wiliam P.] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD USA; [Migliavacca, Mirco; El-Madany, Tarek S.; Nelson, Jacob A.] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, Jena, Germany; [Andreu, Ana] IFAPA Consejeria Agr Pesca & Desarrollo Rural, Cordoba, Spain; [Carrara, Arnaud] Fdn Ctr Estudios Ambientales Mediterraneo CEAM, Valencia, Spain; [Beringer, Jason] Monash Univ, Sch Geog & Environm Sci, Clayton, Vic, Australia; [Baldocchi, Dennis] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Ecosyst Sci Div, Berkeley, CA 94720 USA; [Migliavacca, Mirco] European Commiss, JRC, Joint Res Ctr, Ispra, Italy
推荐引用方式 GB/T 7714	Burchard-Levine, Vicente,Nieto, Hector,Riano, David,et al. A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems[J],2022.
APA	Burchard-Levine, Vicente.,Nieto, Hector.,Riano, David.,Kustas, Wiliam P..,Migliavacca, Mirco.,...&Pilar Martin, M..(2022).A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems.GLOBAL CHANGE BIOLOGY.
MLA	Burchard-Levine, Vicente,et al."A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems".GLOBAL CHANGE BIOLOGY (2022).