Model structures amplify uncertainty in predicted soil carbon responses to climate change

A substantial portion of model uncertainty arises from model parameters and structures. Here, the authors show that alternative model structures with data-driven parameters project greater uncertainty in soil carbon responses to climate change than the conventional soil carbon model.

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Detalles Bibliográficos
Autores principales: Zheng Shi, Sean Crowell, Yiqi Luo, Berrien Moore
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
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Acceso en línea:https://doaj.org/article/0172f11a3f74455a885dbbd1a2994420
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Sumario:A substantial portion of model uncertainty arises from model parameters and structures. Here, the authors show that alternative model structures with data-driven parameters project greater uncertainty in soil carbon responses to climate change than the conventional soil carbon model.