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

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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Bibliographic Details
Main Authors: Christian Folberth, Joshua Elliott, Christoph Müller, Juraj Balkovič, James Chryssanthacopoulos, Roberto C Izaurralde, Curtis D Jones, Nikolay Khabarov, Wenfeng Liu, Ashwan Reddy, Erwin Schmid, Rastislav Skalský, Hong Yang, Almut Arneth, Philippe Ciais, Delphine Deryng, Peter J Lawrence, Stefan Olin, Thomas A M Pugh, Alex C Ruane, Xuhui Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0221862

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https://doi.org/10.1371/journal.pone.0221862

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