Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations
Global gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impact...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2016-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms11872 |
| _version_ | 1831706613744926720 |
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| author | Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde |
| author_facet | Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde |
| author_sort | Christian Folberth |
| collection | DOAJ |
| description | Global gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impacts. |
| first_indexed | 2024-12-20T16:43:12Z |
| format | Article |
| id | doaj.art-dac3fdd09a5f43bda82d32a4dbbbfa85 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-20T16:43:12Z |
| publishDate | 2016-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-dac3fdd09a5f43bda82d32a4dbbbfa852022-12-21T19:32:59ZengNature PortfolioNature Communications2041-17232016-06-017111310.1038/ncomms11872Uncertainty in soil data can outweigh climate impact signals in global crop yield simulationsChristian Folberth0Rastislav Skalský1Elena Moltchanova2Juraj Balkovič3Ligia B. Azevedo4Michael Obersteiner5Marijn van der Velde6Ecosystem Services and Management Program, International Institute for Applied Systems AnalysisEcosystem Services and Management Program, International Institute for Applied Systems AnalysisEcosystem Services and Management Program, International Institute for Applied Systems AnalysisEcosystem Services and Management Program, International Institute for Applied Systems AnalysisEcosystem Services and Management Program, International Institute for Applied Systems AnalysisEcosystem Services and Management Program, International Institute for Applied Systems AnalysisEuropean Commission, Joint Research CentreGlobal gridded crop models are increasingly used to assess climate change impacts on food production. Here, the authors assess crop yield uncertainty associated with soil data input, reporting that soil type strongly influences yield estimates, and may either buffer or amplify climate-related impacts.https://doi.org/10.1038/ncomms11872 |
| spellingShingle | Christian Folberth Rastislav Skalský Elena Moltchanova Juraj Balkovič Ligia B. Azevedo Michael Obersteiner Marijn van der Velde Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations Nature Communications |
| title | Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| title_full | Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| title_fullStr | Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| title_full_unstemmed | Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| title_short | Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| title_sort | uncertainty in soil data can outweigh climate impact signals in global crop yield simulations |
| url | https://doi.org/10.1038/ncomms11872 |
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