This dataset has been archived, and we will no longer be updating or maintaining it. We recommend using this dataset as a replacement.
This dataset shows potential climate change impacts on world crop production and yield from 1970-2000 to 2080 under different emissions scenarios. The impact under different emissions scenarios is reported as the percentage change from this baseline.
This dataset includes the years 2020, 2050, and 2080; the crops maize, rice, wheat, and grain; and the emissions scenarios from the Special Report on Emissions Scenarios (SRES) A1F1, A2A, A2B, A2C, B1A, B2A, and B2B. This dataset is an update to a major crop modeling study by the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies (GISS).
The initial study was published in 1997, based on output of the HadCM2 model forced with greenhouse gas (GHG) concentration from the IS95 emission scenarios in 1997. Results of the initial study are presented in “Potential Impacts of Climate Change on World Food Supply: Data Sets from a Major Crop Modeling Study,” released by the NASA Socioeconomic Data and Applications Center (SEDAC) in 2001. The co-authors developed and tested a method for investigating the spatial implications of climate change on crop production. The Decision Support System for Agrotechnology Transfer dynamic process crop growth models were specified and validated for 127 sites in the major world agricultural regions. Results from the crop models, calibrated and validated in the major crop-growing regions, were then used to test functional forms describing the response of yield changes in the climate and environmental conditions as a percent change by country.
The baseline year for crop yield changes is the average yield simulated under current climate (1970-2000 baseline). The resulting yield change data was then fed into trade models to assess impacts on prices and overall food production. Optimal yield is the potential yield not limited by water or fertilizer and without management constraints. Adapted yields are evaluated in each country as a fraction of the potential yield. The weighting factor combines the ratio of current yields to current yield potential and the economic limitation of the economic country’s agricultural systems. This updated version is based on HadCM3 model output along with GHG concentrations from the Special Report on Emissions Scenarios (SRES). The crop yield estimates incorporate some major improvements: (1) consistent crop simulation methodology and climate change scenarios; (2) weighting of model site results by contribution to regional and national, and rainfed and irrigated, production; (3) quantitative foundation for estimation of physiological CO₂ effects on crop yields; (4) explicit consideration of adaptation; and (5) reporting of results by country rather than by Basic Linked System region. For full documentation, please read the source methodology.
2050 Projected Maize Yield Change—SRES A1FI Scenario (%): Predicted change in maize yield, expressed as a percentage (%), between the baseline climate (1970-2000) and 2050 under the SRES A1FI climate change scenario.
Additional data is available from the data provider for the years 2020, 2050, and 2080; the crops maize, rice, wheat, and grain; and the emissions scenarios from the Special Report on Emissions Scenarios (SRES) A1F1, A2A, A2B, A2C, B1A, B2A, and B2B. Please click on the “Learn More” button to find this data on the source website.
The Climate Change Impacts on Crop Production dataset is a tabular dataset released by NASA SEDAC in collaboration with the NASA GISS. This data has been mapped on Resource Watch by joining it with Natural Earth boundaries.
Excerpts of this description page were taken from the source metadata. Resource Watch shows only a subset of the dataset. For access to the full dataset and additional information, click on the “Learn more” button.
Effects of Climate Change on Global Food Production from SRES Emissions and Socioeconomic Scenarios, v1 (1970-2080)
Total projected predicted production changes need to be treated with caution, since production is determined by many factors. These projections are all speculative and could include inaccuracies. Caution should be used when using projections for any decisions that may have negative consequences.
Iglesias, A., and C. Rosensweig. 2009. Effects of Climate Change on Global Food Production from SRES Emissions and Socioeconomic Scenarios. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4JM27JZ. Accessed through Resource Watch, (date). www.resourcewatch.org.
1970-2000 (baseline), 2020, 2050, 2080