The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ET come home: potential evapotranspiration in geographical ecology
Open accessAbstract
Aim Many macroecological analyses are based on analyses of climatological data, within which evapotranspiration estimates are of central importance. In this paper we evaluate and review the use of evapotranspiration models and data in studies of geographical ecology to test the likely sensitivity of the analyses to variation in the performance of different metrics of potential evapotranspiration. Location Analyses are based on: (1) a latitudinal transect of sites (FLUXNET) for 11 different land‐cover types; and (2) globally gridded data. Methods First, we review the fundamental concepts of evapotranspiration, outline basic evapotranspiration models and describe methods with which to measure evapotranspiration. Next, we compare three different types of potential evapotranspiration models – a temperature‐based (Thornthwaite type), a radiation‐based (Priestley–Taylor) and a combination (Penman–Monteith) model – for 11 different land‐cover types. Finally, we compare these models at continental and global scales. Results At some sites the models differ by less than 7%, but generally the difference was greater than 25% across most sites. The temperature‐based model estimated 20–30% less than the radiation‐based and combination models averaged across all sites. The combination model often gave the highest estimates (22% higher than the radiation‐based model averaged across all sites). For continental and global averages, the potential evapotranspiration was very similar across all models. However, the difference in individual pixels was often larger than 150 mm year−1 between models. Main conclusions The choice of evapotranspiration model and input data is likely to have a bearing on model fits and predictions when used in analyses of species richness and related phenomena at geographical scales of analysis. To assist those undertaking such analyses, we provide a guide to selecting an appropriate evapotranspiration model.
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
Climatic control of vegetation distribution: the role of the water balance
Stephenson, N. L. (1990) · The American Naturalist · doi:10.1086/285067 · Cited by 848
Cited by
Fisher, J. B., Melton, F., Middleton, E., Hain, C., Anderson, M., Allen, R., McCabe, M. F., Hook, S., Baldocchi, D., Townsend, P. A., et al. (2017) · Water Resources Research · doi:10.1002/2016wr020175 · Cited by 991
Self-citation
Metadata
- Authors
- Fisher, J. B., Whittaker, R. J., & Malhi, Y.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2010-08-17
- Volume
- 20
- Issue
- 1
- Pages
- 1-18
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W2132725824
- Cited by
- 384
- References
- 1
- FWCI
- 11.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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: ET come home: potential evapotranspiration in geographical ecology. https://app.cochat.ai/papers/10.1111/j.1466-8238.2010.00578.x
- The paper
- Fisher, J. B., Whittaker, R. J., & Malhi, Y. (2011). ET come home: potential evapotranspiration in geographical ecology. Global Ecology and Biogeography. https://doi.org/10.1111/j.1466-8238.2010.00578.x
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.