干旱区生态环境知识资源中心(Arid): The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data

Arid

DOI	10.1016/j.agrformet.2020.107959
	The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data
	Yang, Shanshan 1,2,3; Zhang, Jiahua 1,2,3; Zhang, Sha 2,3,4; Wang, Jingwen 1,2,3; Bai, Yun 2,3,4; Yao, Fengmei 3; Guo, Huadong 1,2
通讯作者	Zhang, Jiahua
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2020
卷号	287
英文摘要	Ecosystem water-use efficiency (WUE) is a critical indicator to investigate the interaction between the terrestrial ecosystem carbon and water cycles. WUE, estimated from gross primary productivity (GPP) and evapotranspiration (ET) based on remote sensing (RS)-based ecosystem models and algorithms (e.g., MODIS (MODerate resolution Imaging Spectroradiometer), BESS (Breathing Earth System Simulator)), have been used to quantify the spatiotemporal dynamics of WUE and its responses to environmental changes. However, few studies have assessed the ability of RS-based ecosystem models and algorithms on global WUE estimation. In this study, we evaluated 8-day and annual WUE from MODIS and BESS among different sites, land cover types and climate zones using the FLUXNET2015 dataset as reference, and conducted spatial intercomparisons of annual WUE between MODIS, BESS and an upscaled FLUXNET dataset (MTE). The site level evaluation results showed that BESS WUE had better performance than MODIS WUE at both 8-day and annual scales. Among different land cover types and climate zones, MODIS and BESS WUE performed unsatisfactorily, especially for MODIS WUE in open shrublands and savannas and for BESS WUE in closed shrublands. Additionally, both MODIS and BESS WUE performed poorly in the hot semi-arid climate zone. The spatial intercomparisons over 2001-2011 revealed that BESS WUE had similar spatial patterns of annual WUE and linear trends with MTE WUE over the globe, except at the high latitudes. However, the spatiotemporal patterns of MODIS WUE were different from those of MTE and BESS WUE, particularly in the (sub) tropical arid and semi-arid regions. Our evaluations results suggested that coupling carbon and water cycles into RS-based models could improve their performance on global WUE estimation. Moreover, the performance of MODIS and BESS on global WUE estimation should be further improved, especially for their performance on temporal variation and their performance at the (semi) arid areas and the high latitudes.
英文关键词	Water use efficiency (WUE) Evaluation Intercomparison MODIS BESS FLUXNET (MTE)
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000531095900032
WOS关键词	GROSS PRIMARY PRODUCTIVITY ; ENERGY-BALANCE CLOSURE ; LIGHT-USE EFFICIENCIES ; NET PRIMARY PRODUCTION ; EVAPOTRANSPIRATION PRODUCTS ; FLUX TOWER ; TERRESTRIAL GROSS ; CARBON ; CLIMATE ; LAND
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319331
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China; 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China; 3.Univ Chinese Acad Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China; 4.Qingdao Univ, Coll Comp Sci & Technol, Remote Sensing Informat & Digital Earth Ctr, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Yang, Shanshan,Zhang, Jiahua,Zhang, Sha,et al. The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data[J],2020,287.
APA	Yang, Shanshan.,Zhang, Jiahua.,Zhang, Sha.,Wang, Jingwen.,Bai, Yun.,...&Guo, Huadong.(2020).The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data.AGRICULTURAL AND FOREST METEOROLOGY,287.
MLA	Yang, Shanshan,et al."The potential of remote sensing-based models on global water-use efficiency estimation: An evaluation and intercomparison of an ecosystem model (BESS) and algorithm (MODIS) using site level and upscaled eddy covariance data".AGRICULTURAL AND FOREST METEOROLOGY 287(2020).