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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Vydáno v:PLoS One
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2019
Témata:
Research Article
On-line přístup: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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