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Quantifying plant transpiration and canopy conductance using eddy flux data: An underlying water use efficiency method.

Authors :
Bai, Yan
Li, Xiaoyan
Zhou, Sha
Yang, Xiaofan
Yu, Kailiang
Wang, Mengjie
Liu, Shaomin
Wang, Pei
Wu, Xiuchen
Wang, Xiaochen
Zhang, Cicheng
Shi, Fangzhong
Wang, Yang
Wu, Yinan
Source :
Agricultural & Forest Meteorology. Jun2019, Vol. 271, p375-384. 10p.
Publication Year :
2019

Abstract

• The uWUE method was cross–compared with three traditional methods. • Daily T partitioned by the uWUE method well agreed with the SW model. • G c had more significant seasonal variations than G s. • The Jarvis model parameterized with G c performed better than those with G s. • The uWUE method can exclude influences of nonstomatal conductances. Canopy conductance (G c) largely regulates carbon/water cycling and land–atmosphere interactions, but quantifying G c using eddy flux data is limited by the difficulty of partitioning plant transpiration (T) and surface evaporation (E). We introduced an underlying water use efficiency (uWUE) method to partition evapotranspiration (ET) in an oasis maize ecosystem, and cross–compared with the Shuttleworth and Wallace (SW) model, the lysimeter and isotope measurements. We then estimated surface conductance (G s) by ET and G c by T partitioned using the uWUE method, followed by a performance evaluation on the Jarvis model parameterized with both G s and G c. The results showed that T/ET estimated by the uWUE method was close to the isotope method in the peak growing season of 2012, it showed similar seasonal variations with the lysimeter/eddy covariance method and the SW model throughout this growing season. Daily T partitioned by the uWUE method was in good agreement with the SW model from 2012 to 2015 (r2 = 0.91). Additionally, G c had more significant seasonal variations than G s. The Jarvis model parameterized with G c exhibited superior performance than those with G s. Our study suggests that the uWUE method can exclude influences of nonstomatal conductances, and will have great potential to provide more reasonable parameterization for simulation of plant stomata. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681923
Volume :
271
Database :
Academic Search Index
Journal :
Agricultural & Forest Meteorology
Publication Type :
Academic Journal
Accession number :
136152764
Full Text :
https://doi.org/10.1016/j.agrformet.2019.02.035