The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
A general predictive model for estimating monthly ecosystem evapotranspiration
Abstract
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 (ET o), 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 ET o while those from grasslands or woodlands in the arid and semi‐arid regions were lower than ET o. 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 ET o together explained about 85% of the variability of monthly ET. We concluded that the three variables LAI, P, and ET o, 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 © 2010 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Freshwater biodiversity: importance, threats, status and conservation challenges
Dudgeon, D., Arthington, A. H., Gessner, M. O., Kawabata, Z., Knowler, D. J., Lévêque, C., Naiman, R. J., Prieur‐Richard, A., Soto, D., Stiassny, M. L. J., et al. (2006) · Biological Reviews · doi:10.1017/s1464793105006950 · Cited by 8,489
Response of mean annual evapotranspiration to vegetation changes at catchment scale
Zhang, L., Dawes, W. R., & Walker, G. R. (2001) · Water Resources Research · doi:10.1029/2000wr900325 · Cited by 2,571
Energy balance closure at FLUXNET sites
Wilson, K., Goldstein, A., Falge, E., Aubinet, M., Baldocchi, D., Berbigier, P., Bernhofer, C., Ceulemans, R., Dolman, H., Field, C., et al. (2002) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(02)00109-0 · Cited by 2,310
Principles of terrestrial ecosystem ecology
(2003) · Choice Reviews Online · doi:10.5860/choice.40-2771 · Cited by 2,172
Energy and Large-Scale Patterns of Animal- and Plant-Species Richness
Currie, D. J. (1991) · The American Naturalist · doi:10.1086/285144 · Cited by 1,753
Development of a global evapotranspiration algorithm based on MODIS and global meteorology data
Mu, Q., Heinsch, F. A., Zhao, M., & Running, S. W. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.04.015 · Cited by 1,708
Trading Water for Carbon with Biological Carbon Sequestration
Jackson, R. B., Jobbágy, E. G., Avissar, R., Roy, S. B., Barrett, D. J., Cook, C. W., Farley, K. A., le Maitre, D. C., McCarl, B. A., & Murray, B. C. (2005) · Science · doi:10.1126/science.1119282 · Cited by 1,345
Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation
Law, B. E., Falge, E., Gu, L., Baldocchi, D. D., Bakwin, P., Berbigier, P., Davis, K., Dolman, A. J., Falk, M., Fuentes, J. D., et al. (2002) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(02)00104-1 · Cited by 1,334
Jackson, R. B., Carpenter, S. R., Dahm, C. N., McKnight, D. M., Naiman, R. J., Postel, S. L., & Running, S. W. (2001) · Ecological Applications · doi:10.1890/1051-0761(2001)011[1027:wiacw]2.0.co;2 · Cited by 1,107
Cited by
Lü, Y., Fu, B., Feng, X., Zeng, Y., Liu, Y., Chang, R., Sun, G., & Wu, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031782 · Cited by 639
Self-citationJia, X., Fu, B., Feng, X., Hou, G., Liu, Y., & Wang, X. (2014) · Ecological Indicators · doi:10.1016/j.ecolind.2014.02.028 · Cited by 383
Managing Forests for Increased Regional Water Yield in the Southeastern U.S. Coastal Plain
McLaughlin, D. L., Kaplan, D. A., & Cohen, M. J. (2013) · JAWRA Journal of the American Water Resources Association · doi:10.1111/jawr.12073 · Cited by 100
Metadata
- Authors
- Sun, G., Alstad, K., Chen, J., Chen, S., Ford, C. R., Lin, G., Liu, C., Lu, N., McNulty, S. G., Miao, H., Noormets, A., Vose, J. M., Wilske, B., Zeppel, M., Zhang, Y., & Zhang, Z.
- Venue
- Ecohydrology
- Publisher
- Wiley
- Published
- 2010-12-29
- Volume
- 4
- Issue
- 2
- Pages
- 245-255
- ISSN
- 1936-0584 (ISSN-L)
- 1936-0592
- OpenAlex
- W2044393873
- Cited by
- 271
- References
- 35
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A general predictive model for estimating monthly ecosystem evapotranspiration. https://app.cochat.ai/papers/10.1002/eco.194
- The paper
- Sun, G., Alstad, K., Chen, J., Chen, S., Ford, C. R., Lin, G., Liu, C., Lu, N., McNulty, S. G., Miao, H., Noormets, A., Vose, J. M., Wilske, B., Zeppel, M., Zhang, Y., & Zhang, Z. (2011). A general predictive model for estimating monthly ecosystem evapotranspiration. Ecohydrology. https://doi.org/10.1002/eco.194
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
