干旱区生态环境知识资源中心(Arid): Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance

Arid

DOI	10.1016/j.jhydrol.2020.125612
	Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance
	Xu, Jiaming; Wu, Bingfang; Ryu, Dongryeol; Yan, Nana; Zhu, Weiwei; Ma, Zonghan
通讯作者	Wu, BF (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. ; Wu, BF (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2021
卷号	592
英文摘要	Canopy conductance ( Gc) is a crucial variable in accurately estimating latent heat flux and evapotranspiration (ET) over vegetated surfaces. Gc is highly dependent on the plant species and the surrounding environment; consequently, it is difficult to accurately simulate Gc using a simplified universal model. A number of empirical parameters and functional forms have been introduced to appropriately account for various plant species. This study examines the efficacy of a widely adopted Gc model and Penman-Monteith (PM) approach over a selection of vegetated sites in arid and semi-arid regions of China to investigate the factors that influence the accuracy of the model. Comprehensive micrometeorological and land surface monitoring datasets from eight eddy covariance (EC) stations in the Hei and Hai river basins were used for our analysis. ET calculated from a widely used surface conductance and PM method was compared with EC measurements, and the residuals of the comparison were analyzed with factors potentially influencing the residuals using their correlations and regression coefficients to identify factors accounting for the errors caused via G(c). The results showed that the vapor pressure deficit and the maximum stomatal conductance (gsm) are most significantly correlated with uncertainties in G(c) for all plant species. The G(c) error vs. vapor pressure deficit exhibited distinctive sensitivities among the C3 crop/grass, C4 crop and C3 tree groups. The maximum stomatal conductance showed variation with the leaf age, reaching the maximum level in the mid-growth stage for most types of plant species except for coniferous trees. The residuals increased with radiation levels for sites covered with trees, which appeared to be caused by the decreasing trend of the stomatal conductance vs. radiation at high radiation levels for trees. Finally, we propose potential methods of improving canopy conductance models based on our error analysis.
英文关键词	Canopy conductance Influencing factors Vapor pressure deficit Maximum stomatal conductance
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000639844900014
WOS关键词	VAPOR-PRESSURE DEFICIT ; LEAF GAS-EXCHANGE ; STOMATAL CONDUCTANCE ; ENERGY-BALANCE ; WATER-USE ; PHOTOSYNTHESIS MODEL ; SAP FLOW ; EVAPOTRANSPIRATION ; FLUX ; EVAPORATION
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350871
作者单位	[Xu, Jiaming; Wu, Bingfang; Yan, Nana; Zhu, Weiwei; Ma, Zonghan] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Xu, Jiaming; Wu, Bingfang; Ma, Zonghan] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; [Ryu, Dongryeol] Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic 3010, Australia
推荐引用方式 GB/T 7714	Xu, Jiaming,Wu, Bingfang,Ryu, Dongryeol,et al. Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance[J],2021,592.
APA	Xu, Jiaming,Wu, Bingfang,Ryu, Dongryeol,Yan, Nana,Zhu, Weiwei,&Ma, Zonghan.(2021).Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance.JOURNAL OF HYDROLOGY,592.
MLA	Xu, Jiaming,et al."Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance".JOURNAL OF HYDROLOGY 592(2021).