The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections
Open accessAbstract
Long-term warming trends across the globe have shifted the distribution of temperature variability, such that what was once classified as extreme heat relative to local mean conditions has become more common. This is also true for agricultural regions, where exposure to extreme heat, particularly during key growth phases such as the reproductive period, can severely damage crop production in ways that are not captured by most crop models. Here, we analyze exposure of crops to physiologically critical temperatures in the reproductive stage ( T crit ), across the global harvested areas of maize, rice, soybean and wheat. Trends for the 1980–2011 period show a relatively weak correspondence ( r = 0.19) between mean growing season temperature and T crit exposure trends, emphasizing the importance of separate analyses for T crit . Increasing T crit exposure in the past few decades is apparent for wheat in Central and South Asia and South America, and for maize in many diverse locations across the globe. Maize had the highest percentage (15%) of global harvested area exposed to at least five reproductive days over T crit in the 2000s, although this value is somewhat sensitive to the exact temperature used for the threshold. While there was relatively little sustained exposure to reproductive days over T crit for the other crops in the past few decades, all show increases with future warming. Using projections from climate models we estimate that by the 2030s, 31, 16, and 11% respectively of maize, rice, and wheat global harvested area will be exposed to at least five reproductive days over T crit in a typical year, with soybean much less affected. Both maize and rice exhibit non-linear increases with time, with total area exposed for rice projected to grow from 8% in the 2000s to 27% by the 2050s, and maize from 15 to 44% over the same period. While faster development should lead to earlier flowering, which would reduce reproductive extreme heat exposure for wheat on a global basis, this would have little impact for the other crops. Therefore, regardless of the impact of other global change factors (such as increasing atmospheric CO 2 ), reproductive extreme heat exposure will pose risks for global crop production without adaptive measures such as changes in sowing dates, crop and variety switching, expansion of irrigation, and agricultural expansion into cooler areas.
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
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,383
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
The representative concentration pathways: an overview
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0148-z · Cited by 7,741
Climate Trends and Global Crop Production Since 1980
Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011) · Science · doi:10.1126/science.1204531 · Cited by 4,546
Self-citationGlobal observed changes in daily climate extremes of temperature and precipitation
Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Klein Tank, A. M. G., Haylock, M., Collins, D., Trewin, B., Rahimzadeh, F., et al. (2006) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2005jd006290 · Cited by 4,492
Solomon, S. (2007) · Medical Entomology and Zoology · Cited by 4,149
Heat tolerance in plants: An overview
WAHID, A., GELANI, S., ASHRAF, M., & FOOLAD, M. (2007) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2007.05.011 · Cited by 4,029
Cited by
Rising temperatures reduce global wheat production
Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., et al. (2015) · Nature Climate Change · doi:10.1038/nclimate2470 · Cited by 2,491
Self-citationA review of the global climate change impacts, adaptation, and sustainable mitigation measures
Abbass, K., Qasim, M. Z., Song, H., Murshed, M., Mahmood, H., & Younis, I. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-19718-6 · Cited by 2,359
Climate variation explains a third of global crop yield variability
Ray, D. K., Gerber, J. S., MacDonald, G. K., & West, P. C. (2015) · Nature Communications · doi:10.1038/ncomms6989 · Cited by 2,046
Global crop yield response to extreme heat stress under multiple climate change futures
Deryng, D., Conway, D., Ramankutty, N., Price, J., & Warren, R. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/3/034011 · Cited by 699
Zampieri, M., Ceglar, A., Dentener, F., & Toreti, A. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa723b · Cited by 689
Metadata
- Authors
- Gourdji, S. M., Sibley, A. M., & Lobell, D. B.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2013-06-01
- Volume
- 8
- Issue
- 2
- Pages
- 024041
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2030776889
- Cited by
- 516
- References
- 38
- FWCI
- 27.86
- Type
- journal article
- Language
- en
- Open access
- gold
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: Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections. https://app.cochat.ai/papers/10.1088/1748-9326/8/2/024041
- The paper
- Gourdji, S. M., Sibley, A. M., & Lobell, D. B. (2013). Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections. Environmental Research Letters. https://doi.org/10.1088/1748-9326/8/2/024041
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.