Skip to Main Content
A general predictive model for estimating monthly ecosystem evapotranspirationAuthor(s): Ge Sun; Karrin Alstad; Jiquan Chen; Shiping Chen; Chelcy R. Ford; al. et.
Source: Ecohydrology 4(2):245-255
Publication Series: Scientific Journal (JRNL)
Download Publication (407.57 KB)
DescriptionAccurately 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 arid 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.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationSun, Ge; Alstad, Karrin; Chen, Jiquan; Chen, Shiping; Ford, Chelcy R.; et. al. 2011. A general predictive model for estimating monthly ecosystem evapotranspiration. Ecohydrology 4(2):245-255.
Keywordsclimate change, ET, eddy flux, modelling, sap flow, water balance
- Energy and water balance of two contrasting loblolly pine plantations on the lower coastal plain of North Carolina, USA
- Long-term variability in the water budget and its controls in an oak-dominated temperate forest
- Long-term potential and actual evapotranspiration of two different forests on the Atlantic Coastal Plain
XML: View XML