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...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2016
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/dac3fdd09a5f43bda82d32a4dbbbfa85 |
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| Sumario: | 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. |
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