Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations

Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data...

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Detalles Bibliográficos
Autores principales: Folberth, Christian, Skalský, Rastislav, Moltchanova, Elena, Balkovič, Juraj, Azevedo, Ligia B., Obersteiner, Michael, van der Velde, Marijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919520/
https://www.ncbi.nlm.nih.gov/pubmed/27323866
http://dx.doi.org/10.1038/ncomms11872

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919520/
https://www.ncbi.nlm.nih.gov/pubmed/27323866
http://dx.doi.org/10.1038/ncomms11872

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