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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Veröffentlicht in:PLoS One
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2019
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Research Article
Online Zugang: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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