Nature Communications (Jun 2018)

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

  • Zheng Shi,
  • Sean Crowell,
  • Yiqi Luo,
  • Berrien Moore

DOI
https://doi.org/10.1038/s41467-018-04526-9
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 11

Abstract

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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.