Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 283

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Potential for sustainable irrigation expansion in a 3 °C warmer climate

Open access
Rosa, Lorenzo, Chiarelli, Davide Danilo, Sangiorgio, Matteo, Beltran-Peña, Areidy Aracely, Rulli, Maria Cristina, D’Odorico, Paolo, Fung, Inez·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Climate change is expected to reshape the distribution of irrigated lands. Using climatic projections from three global climate models, we investigate global patterns of irrigation water demand and availability in 1.5 °C and 3 °C warmer climates. We find that in up to 35% of currently rain-fed croplands, irrigation could be expanded as an adaptation strategy to climate change without negative environmental externalities on freshwater resources. Irrigation expansion could reduce vulnerability to water stress and improve crop productivity to feed up to 300 million additional people using small-scale water storage and up to 1.4 billion additional people using large-scale water storage. This work contributes to identifying target regions where investments in sustainable intensification of agriculture through irrigation expansion are needed.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.2017796117

Cites

58 of 58 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 58 references

Cited by

See all 283

Metadata

Authors
Rosa, L., Chiarelli, D. D., Sangiorgio, M., Beltran-Peña, A. A., Rulli, M. C., D’Odorico, P., & Fung, I.
Venue
Proceedings of the National Academy of Sciences
Published
2020-11-09
Volume
117
Issue
47
Pages
29526-29534
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3101203115
Cited by
283
References
58
FWCI
22.97
Type
journal article
Language
en
Open access
hybrid

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: Potential for sustainable irrigation expansion in a 3 °C warmer climate. https://app.cochat.ai/papers/10.1073/pnas.2017796117
The paper
Rosa, L., Chiarelli, D. D., Sangiorgio, M., Beltran-Peña, A. A., Rulli, M. C., D’Odorico, P., & Fung, I. (2020). Potential for sustainable irrigation expansion in a 3 °C warmer climate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2017796117

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.