Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble

Global gridded crop models (GGCMs) combine agronomic or plant growth models with gridded spatial input data to estimate spatially explicit crop yields and agricultural externalities at the global scale. Differences in GGCM outputs arise from the use of different biophysical models, setups, and input...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Folberth, Christian, Elliott, Joshua, Müller, Christoph, Balkovič, Juraj, Chryssanthacopoulos, James, Izaurralde, Roberto C., Jones, Curtis D., Khabarov, Nikolay, Liu, Wenfeng, Reddy, Ashwan, Schmid, Erwin, Skalský, Rastislav, Yang, Hong, Arneth, Almut, Ciais, Philippe, Deryng, Delphine, Lawrence, Peter J., Olin, Stefan, Pugh, Thomas A. M., Ruane, Alex C., Wang, Xuhui
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6746385/
https://ncbi.nlm.nih.gov/pubmed/31525247
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0221862
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