Evapotranspiration partitioning for three agro-ecosystems with contrasting moisture conditions: a comparison of an isotope method and a two-source model calculation
文献类型：期刊论文
| 作者 | Wei, Zhongwang1,2; Lee, Xuhui1,2; Wen, Xuefa3 ; Xiao, Wei1
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| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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| 出版日期 | 2018-04-15 |
| 卷号 | 252页码:296-310 |
| 关键词 | Agro-ecosystems Evapotranspiration partitioning Isotope Two-source model |
| ISSN号 | 0168-1923 |
| DOI | 10.1016/j.agrformet.2018.01.019 |
| 通讯作者 | Wei, Zhongwang(zhongwang.wei@yale.edu) ; Lee, Xuhui(xuhui.lee@yale.edu) |
| 英文摘要 | Quantification of the contribution of transpiration (T) to evapotranspiration (ET) is a requirement for understanding changes in carbon assimilation and water cycling in a changing environment. So far, few studies have examined seasonal variability of T/ET and compared different ET partitioning methods under natural conditions across diverse agro-ecosystems. In this study, we apply a two-source model to partition ET for three agro-ecosystems (rice, wheat and corn). The model is coupled with a plant physiology scheme for the canopy conductance. The model-estimated T/ET ranges from 0 to 1, with a near continuous increase over time in the early growing season when leaf area index (LAI) is less than 2.5 and then convergence towards a stable value beyond LAI of 2.5. The seasonal change in T/ET can be described well as a function of LAI, implying that LAI is a first order factor affecting ET partitioning. Application of the model to seven other Ameriflux sites reveals that soil moisture and canopy conductance also influence the ET partitioning. The two-source model results show that the growing-season (May-September for rice, April-June for wheat and June-September for corn) T/ET is 0.50, 0.84 and 0.64, while an isotopic approach shows that T/ET is 0.74, 0.93 and 0.81 for rice, wheat and maize, respectively. The two-source model results are supported by soil lysimeter and eddy covariance measurements made during the same time period for wheat (0.87). Uncertainty analysis suggests that further improvements to the Craig-Gordon model prediction of the evaporation isotope composition and to measurement of the isotopic composition of ET are necessary to achieve accurate flux partitioning at the ecosystem scale using water isotopes as tracers. |
| WOS关键词 | TERRESTRIAL WATER FLUXES ; WINTER-WHEAT FIELD ; STABLE-ISOTOPES ; LAND-SURFACE ; EDDY-COVARIANCE ; OXYGEN-ISOTOPE ; GAS-EXCHANGE ; STATE TRANSPIRATION ; TEMPERATE GRASSLAND ; CANOPY CONDUCTANCE |
| 资助项目 | U.S. National Science Foundation[AGS-1520684] ; National Natural Science Foundation of China[41475141] ; National Natural Science Foundation of China[41505005] ; National Natural Science Foundation of China[31100359] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000427341400026 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | U.S. National Science Foundation ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57350]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wei, Zhongwang; Lee, Xuhui |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Nanjing, Jiangsu, Peoples R China 2.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06520 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Zhongwang,Lee, Xuhui,Wen, Xuefa,et al. Evapotranspiration partitioning for three agro-ecosystems with contrasting moisture conditions: a comparison of an isotope method and a two-source model calculation[J]. AGRICULTURAL AND FOREST METEOROLOGY,2018,252:296-310. |
| APA | Wei, Zhongwang,Lee, Xuhui,Wen, Xuefa,&Xiao, Wei.(2018).Evapotranspiration partitioning for three agro-ecosystems with contrasting moisture conditions: a comparison of an isotope method and a two-source model calculation.AGRICULTURAL AND FOREST METEOROLOGY,252,296-310. |
| MLA | Wei, Zhongwang,et al."Evapotranspiration partitioning for three agro-ecosystems with contrasting moisture conditions: a comparison of an isotope method and a two-source model calculation".AGRICULTURAL AND FOREST METEOROLOGY 252(2018):296-310. |
入库方式： OAI收割
来源：地理科学与资源研究所
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