NWIPB OpenIR
Partitioning of evapotranspiration and its controls in four grassland ecosystems: Application of a two-source model
Hu Zhongmin1,3; Yu Guirui1; Zhou Yanlian2; Sun Xiaomin1; Li Yingnian4; Shi Peili1; Wang Yanfen3; Song Xia5; Zheng Zemei1,3; Zhang Li1; Li Shenggong1
2009-09-01
发表期刊AGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
卷号149期号:9页码:1410-1420
文章类型Article
摘要Quantifying the partitioning of evapotranspiration (ET) and its controls are particularly important for accurate prediction of the climatic response of ecosystem carbon, water, and energy budgets. in this study, we employed the Shuttleworth-Wallace model to partition ET into soil water evaporation (E) and vegetation transpiration (7) at four grassland ecosystems in China. Two to three years (2003-2005) of continuous measurements of ET with the eddy covariance technique were used to test the long-term performance of the model. Monte Carlo simulations were performed to estimate the key parameters in the model and to evaluate the accuracy in model partitioning (i.e. E/ET). Results indicated that the simulated ET at the four ecosystems was in good agreement with the measurements at both the diurnal and seasonal timescales, but the model tended to underestimate ET by 3-11% on rainy days. probably due to the lack of model representation of rainfall interception. In general, E accounted for a large proportion of ET at these grasslands. The monthly E/ET ranged from 12% to 56% in the peak growing seasons and the annual E/ET ranged from 51% to 67% across the four ecosystems. Canopy stomatal conductance controlled E/ET at the diurnal timescale, and the variations and magnitude of leaf area index (LAI) explained most of the seasonal, annual, and site-to-site variations in E/ET. A simple linear relationship between growing season LAI and E/ET explained ca. 80% of the variation observed at the four sites for the 10 modeled site-years. Our work indicated that the daily E/ET decreased to a minimum value of ca. 10% for values of LAI greater than 3 m(2) m(-2) at the ecosystem with a dense canopy. The sensitivities of E/ET to changes in LAI increased with the decline in water and vegetation conditions at both the seasonal and the annual time scales, i.e., the variations in LAI could cause stronger effects on E/ET in the sparse-canopy ecosystems than in the dense-canopy ecosystems. It implies that the hydrological processes and vegetation productivity for ecosystems in and environments might be more vulnerable to projected climate change than those in humid environments. (C) 2009 Elsevier B.V. All rights reserved.; Quantifying the partitioning of evapotranspiration (ET) and its controls are particularly important for accurate prediction of the climatic response of ecosystem carbon, water, and energy budgets. in this study, we employed the Shuttleworth-Wallace model to partition ET into soil water evaporation (E) and vegetation transpiration (7) at four grassland ecosystems in China. Two to three years (2003-2005) of continuous measurements of ET with the eddy covariance technique were used to test the long-term performance of the model. Monte Carlo simulations were performed to estimate the key parameters in the model and to evaluate the accuracy in model partitioning (i.e. E/ET). Results indicated that the simulated ET at the four ecosystems was in good agreement with the measurements at both the diurnal and seasonal timescales, but the model tended to underestimate ET by 3-11% on rainy days. probably due to the lack of model representation of rainfall interception. In general, E accounted for a large proportion of ET at these grasslands. The monthly E/ET ranged from 12% to 56% in the peak growing seasons and the annual E/ET ranged from 51% to 67% across the four ecosystems. Canopy stomatal conductance controlled E/ET at the diurnal timescale, and the variations and magnitude of leaf area index (LAI) explained most of the seasonal, annual, and site-to-site variations in E/ET. A simple linear relationship between growing season LAI and E/ET explained ca. 80% of the variation observed at the four sites for the 10 modeled site-years. Our work indicated that the daily E/ET decreased to a minimum value of ca. 10% for values of LAI greater than 3 m(2) m(-2) at the ecosystem with a dense canopy. The sensitivities of E/ET to changes in LAI increased with the decline in water and vegetation conditions at both the seasonal and the annual time scales, i.e., the variations in LAI could cause stronger effects on E/ET in the sparse-canopy ecosystems than in the dense-canopy ecosystems. It implies that the hydrological processes and vegetation productivity for ecosystems in and environments might be more vulnerable to projected climate change than those in humid environments. (C) 2009 Elsevier B.V. All rights reserved.
关键词Canopy Stomatal Conductance Evapotranspiration Leaf Area Index Shuttleworth-wallace Soil Water Evaporation
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
关键词[WOS]WATER-USE EFFICIENCY ; SHUTTLEWORTH-WALLACE ; CARBON-DIOXIDE ; CHIHUAHUAN DESERT ; ENERGY-BALANCE ; EVAPORATION ; CANOPY ; SOIL ; TRANSPIRATION ; VEGETATION
收录类别SCI
语种英语
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000267626300004
引用统计
被引频次:89[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/1832
专题中国科学院西北高原生物研究所
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr,Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
4.Chinese Acad Sci, NW Inst Plateau Biol, Xining 810001, Peoples R China
5.Auburn Univ, Sch Forestry & Wildlife Sci, Ecosyst Dynam & Global Ecol Lab, Auburn, AL 36849 USA
推荐引用方式
GB/T 7714
Hu Zhongmin,Yu Guirui,Zhou Yanlian,et al. Partitioning of evapotranspiration and its controls in four grassland ecosystems: Application of a two-source model[J]. AGRICULTURAL AND FOREST METEOROLOGY,2009,149(9):1410-1420.
APA Hu Zhongmin.,Yu Guirui.,Zhou Yanlian.,Sun Xiaomin.,Li Yingnian.,...&Li Shenggong.(2009).Partitioning of evapotranspiration and its controls in four grassland ecosystems: Application of a two-source model.AGRICULTURAL AND FOREST METEOROLOGY,149(9),1410-1420.
MLA Hu Zhongmin,et al."Partitioning of evapotranspiration and its controls in four grassland ecosystems: Application of a two-source model".AGRICULTURAL AND FOREST METEOROLOGY 149.9(2009):1410-1420.
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