The DOI matches its Crossref record.
Human Appropriation of Renewable Fresh Water
Abstract
Humanity now uses 26 percent of total terrestrial evapotranspiration and 54 percent of runoff that is geographically and temporally accessible. Increased use of evapotranspiration will confer minimal benefits globally because most land suitable for rain-fed agriculture is already in production. New dam construction could increase accessible runoff by about 10 percent over the next 30 years, whereas population is projected to increase by more than 45 percent during that period.
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
Cited by
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
Self-citationGlobal Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Human domination of Earth’s ecosystems
Vitousek, P. M., Mooney, H. A., Lubchenco, J., & Melillo, J. M. (1997) · Science · doi:10.1126/science.277.5325.494 · Cited by 9,086
Solutions for a cultivated planet
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476
Agricultural sustainability and intensive production practices
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002) · Nature · doi:10.1038/nature01014 · Cited by 7,957
Metadata
- Authors
- Postel, S. L., Daily, G. C., & Ehrlich, P. R.
- Venue
- Science
- Published
- 1996-02-09
- Volume
- 271
- Issue
- 5250
- Pages
- 785-788
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1971048734
- Cited by
- 1,451
- References
- 0
- FWCI
- 94.26
- 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: Human Appropriation of Renewable Fresh Water. https://app.cochat.ai/papers/10.1126/science.271.5250.785
- The paper
- Postel, S. L., Daily, G. C., & Ehrlich, P. R. (1996). Human Appropriation of Renewable Fresh Water. Science. https://doi.org/10.1126/science.271.5250.785
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.
