| Autor: |
Christian Folberth, Rastislav Skalský, Elena Moltchanova, Juraj Balkovič, Ligia B. Azevedo, Michael Obersteiner, Marijn van der Velde |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 7, Iss 1, Pp 1-13 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/ncomms11872 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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