A global dataset for the projected impacts of climate change on four major crops
Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate chan...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/118252 |
| _version_ | 1855521963204673536 |
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| author | Hasegawa, Toshihiro Wakatsuki, Hitomi Ju, Hui Vyas, Shalika Nelson, Gerald C. Farrell, Aidan Deryng, Delphine Meza, Francisco Makowski, David |
| author_browse | Deryng, Delphine Farrell, Aidan Hasegawa, Toshihiro Ju, Hui Makowski, David Meza, Francisco Nelson, Gerald C. Vyas, Shalika Wakatsuki, Hitomi |
| author_facet | Hasegawa, Toshihiro Wakatsuki, Hitomi Ju, Hui Vyas, Shalika Nelson, Gerald C. Farrell, Aidan Deryng, Delphine Meza, Francisco Makowski, David |
| author_sort | Hasegawa, Toshihiro |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate change impact assessments. However, the wealth of data produced by these studies has not been made publicly available. Here, we develop a global dataset by consolidating previously published meta-analyses and data collected through a new literature search covering recent crop simulations. The new global dataset builds on 8703 simulations from 202 studies published between 1984 and 2020. It contains projected yields of four major crops (maize, rice, soybean, and wheat) in 91 countries under major emission scenarios for the 21st century, with and without adaptation measures, along with geographical coordinates, current temperature and precipitation levels, projected temperature and precipitation changes. This dataset provides a solid basis for a quantitative assessment of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven machine learning applications. |
| format | Journal Article |
| id | CGSpace118252 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1182522025-11-11T17:47:27Z A global dataset for the projected impacts of climate change on four major crops Hasegawa, Toshihiro Wakatsuki, Hitomi Ju, Hui Vyas, Shalika Nelson, Gerald C. Farrell, Aidan Deryng, Delphine Meza, Francisco Makowski, David climate change adaptation environmental factors impact assessment crop modelling data collection adaptación al cambio climático factores ambientales evaluación del impacto data papers Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate change impact assessments. However, the wealth of data produced by these studies has not been made publicly available. Here, we develop a global dataset by consolidating previously published meta-analyses and data collected through a new literature search covering recent crop simulations. The new global dataset builds on 8703 simulations from 202 studies published between 1984 and 2020. It contains projected yields of four major crops (maize, rice, soybean, and wheat) in 91 countries under major emission scenarios for the 21st century, with and without adaptation measures, along with geographical coordinates, current temperature and precipitation levels, projected temperature and precipitation changes. This dataset provides a solid basis for a quantitative assessment of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven machine learning applications. 2022-02-16 2022-02-25T14:32:23Z 2022-02-25T14:32:23Z Journal Article https://hdl.handle.net/10568/118252 en Open Access application/pdf Springer Hasegawa, T.; Wakatsuki, H.; Ju, H.; Vyas, S.; Nelson, G.C.; Farrell, A.; Deryng, D.; Meza, F.; Makowski, D. (2022) A global dataset for the projected impacts of climate change on four major crops. Scientific Data 9, 58. 12 p. ISSN: 2052-4463 |
| spellingShingle | climate change adaptation environmental factors impact assessment crop modelling data collection adaptación al cambio climático factores ambientales evaluación del impacto data papers Hasegawa, Toshihiro Wakatsuki, Hitomi Ju, Hui Vyas, Shalika Nelson, Gerald C. Farrell, Aidan Deryng, Delphine Meza, Francisco Makowski, David A global dataset for the projected impacts of climate change on four major crops |
| title | A global dataset for the projected impacts of climate change on four major crops |
| title_full | A global dataset for the projected impacts of climate change on four major crops |
| title_fullStr | A global dataset for the projected impacts of climate change on four major crops |
| title_full_unstemmed | A global dataset for the projected impacts of climate change on four major crops |
| title_short | A global dataset for the projected impacts of climate change on four major crops |
| title_sort | global dataset for the projected impacts of climate change on four major crops |
| topic | climate change adaptation environmental factors impact assessment crop modelling data collection adaptación al cambio climático factores ambientales evaluación del impacto data papers |
| url | https://hdl.handle.net/10568/118252 |
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