Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data
文献类型：期刊论文
| 作者 | Fang, Yuan; Sun, Ge; Caldwell, Peter3; McNulty, Steven G.; Noormets, Asko; Domec, Jean-Christophe; King, John; Zhang, Zhiqiang5; Zhang, Xudong6; Lin, Guanghui7 |
| 刊名 | ECOHYDROLOGY
 |
| 出版日期 | 2016 |
| 卷号 | 9期号:2页码:248-266 |
| 关键词 | eddy covariance flux evapotranspiration ecosystem modelling ecohydrology FLUXNET |
| ISSN号 | 1936-0584 |
| DOI | 10.1002/eco.1629 |
| 文献子类 | Article |
| 英文摘要 | Evapotranspiration (ET) is arguably the most uncertain ecohydrologic variable for quantifying watershed water budgets. Although numerous ET and hydrological models exist, accurately predicting the effects of global change on water use and availability remains challenging because of model deficiency and/or a lack of input parameters. The objective of this study was to create a new set of monthly ET models that can better quantify landscape-level ET with readily available meteorological and biophysical information. We integrated eddy covariance flux measurements from over 200 sites, multiple year remote sensing products from the Moderate Resolution Imaging Spectroradiometer (MODIS), and statistical modelling. Through examining the key biophysical controls on ET by land cover type (i.e. shrubland, cropland, deciduous forest, evergreen forest, mixed forest, grassland, and savannas), we created unique ET regression models for each land cover type using different combinations of biophysical independent factors. Leaf area index and net radiation explained most of the variability of observed ET for shrubland, cropland, grassland, savannas, and evergreen forest ecosystems. In contrast, potential ET (PET) as estimated by the temperature-based Hamon method was most useful for estimating monthly ET for deciduous and mixed forests. The more data-demanding PET method, FAO reference ET model, had similar power as the simpler Hamon PET method for estimating actual ET. We developed three sets of monthly ET models by land cover type for different practical applications with different data availability. Our models may be used to improve water balance estimates for large basins or regions with mixed land cover types. Copyright (c) 2015 John Wiley & Sons, Ltd. |
| 学科主题 | Ecology ; Environmental Sciences ; Water Resources |
| 出版地 | HOBOKEN |
| 电子版国际标准刊号 | 1936-0592 |
| WOS关键词 | MEAN ANNUAL EVAPOTRANSPIRATION ; ENERGY-BALANCE CLOSURE ; CARBON-DIOXIDE ; CLIMATE-CHANGE ; FOREST EVAPOTRANSPIRATION ; PINE PLANTATIONS ; WATER BUDGETS ; SAP-FLOW ; COVARIANCE ; MODIS |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000372309400006 |
| 出版者 | WILEY |
| 资助机构 | USDA Forest Service Eastern Forest Environmental Threat Assessment Center ; DOE-BER Terrestrial Ecosystem Sciences Program [11-DE-SC-0006700-ER65189] ; U.S. Department of Energy, Biological and Environmental ResearchUnited States Department of Energy (DOE) [DE-FG02-04ER63917, DE-FG02-04ER63911] ; CarboEuropeIPEuropean Commission ; FAO-GTOS-TCO ; iLEAPS ; Max Planck Institute for Biogeochemistry ; National Science FoundationNational Science Foundation (NSF) ; University of Tuscia ; Universite Laval ; Environment CanadaCGIAR ; U.S. Department of EnergyUnited States Department of Energy (DOE) ; Direct For Biological SciencesNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [0823293] Funding Source: National Science Foundation ; Division Of Environmental BiologyNational Science Foundation (NSF)NSF - Directorate for Biological Sciences (BIO) [1440485] Funding Source: National Science Foundation |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/25382]  |
| 专题 | 中科院植物分子生理学重点实验室 |
| 作者单位 | 1.Michigan State Univ, Dept Geog, E Lansing, MI 48824 USA 2.N Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA 3.Sun, Ge; McNulty, Steven G.] USDA Forest Serv, Eastern Forest Environm Threat Assessment Ctr, Southern Res Stn, Raleigh, NC 27606 USA 4.USDA Forest Serv, Coweeta Hydrol Lab, Southern Res Stn, Otto, NC USA 5.Univ Bordeaux, Bordeaux Sci Agro UMR INRA ISPA 1391, Gradignan, France 6.Beijing Forestry Univ, Coll Soil & Water Conservat, Beijing, Peoples R China 7.Chinese Acad Forestry, Inst Forest Res, Beijing, Peoples R China 8.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China 9.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China 10.Univ New Hampshire, Earth Syst Res Ctr, Durham, NH 03824 USA |
| 推荐引用方式 GB/T 7714 | Fang, Yuan,Sun, Ge,Caldwell, Peter,et al. Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data[J]. ECOHYDROLOGY,2016,9(2):248-266. |
| APA | Fang, Yuan.,Sun, Ge.,Caldwell, Peter.,McNulty, Steven G..,Noormets, Asko.,...&Chen, Jiquan.(2016).Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data.ECOHYDROLOGY,9(2),248-266. |
| MLA | Fang, Yuan,et al."Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data".ECOHYDROLOGY 9.2(2016):248-266. |
入库方式： OAI收割
来源：植物研究所
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