Arid
DOI10.1002/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
ISSN1936-0584
EISSN1936-0592
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
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sun, Ge]的文章
[Alstad, Karrin]的文章
[Chen, Jiquan]的文章
百度学术
百度学术中相似的文章
[Sun, Ge]的文章
[Alstad, Karrin]的文章
[Chen, Jiquan]的文章
必应学术
必应学术中相似的文章
[Sun, Ge]的文章
[Alstad, Karrin]的文章
[Chen, Jiquan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A general predictive model for estimating monthly ecosystem evapotranspiration.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。