The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
On the use of statistical models to predict crop yield responses to climate change
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
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
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
The DSSAT cropping system model
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00107-7 · Cited by 4,465
Solomon, S. (2007) · Medical Entomology and Zoology · Cited by 4,149
Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change
Schlenker, W., & Roberts, M. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906865106 · Cited by 3,420
Christensen, J. H., Hewitson, B. C., Busuioc, A., Chen, A., Gao, X., Held, R., Jones, R., Kolli, R. K., Kwon, W., Laprise, R., et al. (2007) · Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · Cited by 3,177
Prioritizing Climate Change Adaptation Needs for Food Security in 2030
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., & Naylor, R. L. (2008) · Science · doi:10.1126/science.1152339 · Cited by 3,105
Self-citationRice yields decline with higher night temperature from global warming
Peng, S., Huang, J., Sheehy, J. E., Laza, R. C., Visperas, R. M., Zhong, X., Centeno, G. S., Khush, G. S., & Cassman, K. G. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403720101 · Cited by 2,431
The use of the multi-model ensemble in probabilistic climate projections
Tebaldi, C., & Knutti, R. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2076 · Cited by 1,862
Cited by
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222463110 · Cited by 2,319
Nonlinear heat effects on African maize as evidenced by historical yield trials
Lobell, D. B., Bänziger, M., Magorokosho, C., & Vivek, B. (2011) · Nature Climate Change · doi:10.1038/nclimate1043 · Cited by 1,206
Self-citationThe Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies
Rosenzweig, C., Jones, J. W., Hatfield, J. L., Ruane, A. C., Boote, K. J., Thorburn, P., Antle, J. M., Nelson, G. C., Porter, C., Janssen, S., et al. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2012.09.011 · Cited by 1,048
Climate change has likely already affected global food production
Ray, D. K., West, P. C., Clark, M., Gerber, J. S., Prishchepov, A. V., & Chatterjee, S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0217148 · Cited by 989
Random Forests for Global and Regional Crop Yield Predictions
Jeong, J. H., Resop, J. P., Mueller, N. D., Fleisher, D. H., Yun, K., Butler, E. E., Timlin, D. J., Shim, K.-M., Gerber, J. S., Reddy, V. R., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0156571 · Cited by 893
Metadata
- Authors
- Lobell, D. B., & Burke, M. B.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2010-10-15
- Volume
- 150
- Issue
- 11
- Pages
- 1443-1452
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2117162642
- Cited by
- 1,015
- References
- 33
- FWCI
- 20.74
- 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: On the use of statistical models to predict crop yield responses to climate change. https://app.cochat.ai/papers/10.1016/j.agrformet.2010.07.008
- The paper
- Lobell, D. B., & Burke, M. B. (2010). On the use of statistical models to predict crop yield responses to climate change. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2010.07.008
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.
