Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/eco.194 |
A general predictive model for estimating monthly ecosystem evapotranspiration | |
Sun, Ge1; Alstad, Karrin2; Chen, Jiquan2; Chen, Shiping3; Ford, Chelcy R.4; Lin, Guanghui3; Liu, Chenfeng5; Lu, Nan2; McNulty, Steven G.1; Miao, Haixia3; Noormets, Asko6; Vose, James M.4; Wilske, Burkhard2; Zeppel, Melanie7; Zhang, Yan5; Zhang, Zhiqiang5 | |
通讯作者 | Sun, Ge |
来源期刊 | ECOHYDROLOGY
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ISSN | 1936-0584 |
EISSN | 1936-0592 |
出版年 | 2011 |
卷号 | 4期号:2页码:245-255 |
英文摘要 | Accurately quantifying evapotranspiration (ET) is essential for modelling regional-scale ecosystem water balances. This study assembled an ET data set estimated from eddy flux and sapflow measurements for 13 ecosystems across a large climatic and management gradient from the United States, China, and Australia. Our objectives were to determine the relationships among monthly measured actual ET (ET), calculated FAO-56 grass reference ET (ETo), measured precipitation (P), and leaf area index (LAI)-one associated key parameter of ecosystem structure. Results showed that the growing season ET from wet forests was generally higher than ETo while those from grasslands or woodlands in the and and semi-arid regions were lower than ETo. Second, growing season ET was found to be converged to within +/- 10% of P for most of the ecosystems examined. Therefore, our study suggested that soil water storage in the nongrowing season was important in influencing ET and water yield during the growing season. Lastly, monthly LAI, P, and ETo together explained about 85% of the variability of monthly ET. We concluded that the three variables LAI, P, and ETo, which were increasingly available from remote sensing products and weather station networks, could be used for estimating monthly regional ET dynamics with a reasonable accuracy. Such an empirical model has the potential to project the effects of climate and land management on water resources and carbon sequestration when integrated with ecosystem models. Copyright (C) 2010 John Wiley & Sons, Ltd. |
英文关键词 | climate change ET eddy flux modelling sapflow water balance |
类型 | Article |
语种 | 英语 |
国家 | USA ; Peoples R China ; Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000289263900010 |
WOS关键词 | MEAN ANNUAL EVAPOTRANSPIRATION ; EDDY COVARIANCE ; SAP-FLOW ; STAND TRANSPIRATION ; NORTHERN WISCONSIN ; POPLAR PLANTATION ; ANNUAL STREAMFLOW ; CARBON-DIOXIDE ; ENERGY-BALANCE ; CLIMATE-CHANGE |
WOS类目 | Ecology ; Environmental Sciences ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
来源机构 | 中国科学院植物研究所 ; 北京林业大学 ; E18 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/167775 |
作者单位 | 1.US Forest Serv, Eastern Forest Environm Threat Assessment Ctr, USDA, Raleigh, NC 27606 USA; 2.Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA; 3.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China; 4.US Forest Serv, Coweeta Hydrol Lab, USDA, Otto, NC USA; 5.Beijing Forestry Univ, Coll Soil & Water Conservat, Beijing, Peoples R China; 6.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA; 7.Macquarie Univ, Dept Biol, Sydney, NSW 2109, Australia |
推荐引用方式 GB/T 7714 | Sun, Ge,Alstad, Karrin,Chen, Jiquan,et al. A general predictive model for estimating monthly ecosystem evapotranspiration[J]. 中国科学院植物研究所, 北京林业大学, E18,2011,4(2):245-255. |
APA | Sun, Ge.,Alstad, Karrin.,Chen, Jiquan.,Chen, Shiping.,Ford, Chelcy R..,...&Zhang, Zhiqiang.(2011).A general predictive model for estimating monthly ecosystem evapotranspiration.ECOHYDROLOGY,4(2),245-255. |
MLA | Sun, Ge,et al."A general predictive model for estimating monthly ecosystem evapotranspiration".ECOHYDROLOGY 4.2(2011):245-255. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
A general predictive(475KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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