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A Flexible, Data-driven Model Framework to Predict Soil Responses to Land-use and Climate Change

Publications

Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model

Author(s): Saifuddin M, Abramoff RZ (corresponding author), Davidson EA, Dietze MC, Finzi AC
Published in: Journal of Geophysical Research: Biogeosciences, Issue Volume 126, Issue 12, 2021, ISSN 2169-8961
Publisher: American Geophysical Union
DOI: 10.1029/2021jg006593

How much carbon can be added to soil by sorption?

Author(s): Rose Z. Abramoff, Katerina Georgiou, Bertrand Guenet, Margaret S. Torn, Yuanyuan Huang, Haicheng Zhang, Wenting Feng, Sindhu Jagadamma, Klaus Kaiser, Dolly Kothawala, Melanie A. Mayes, Philippe Ciais
Published in: Biogeochemistry, Issue 152/2-3, 2021, Page(s) 127-142, ISSN 0168-2563
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10533-021-00759-x

Improved global-scale predictions of soil carbon stocks with Millennial Version 2

Author(s): Abramoff RZ, Guenet B, Zhang H, Georgiou K, Xu X, Viscarra-Rossel RA, Yuan W, Ciais P
Published in: Soil Biology and Biochemistry, Issue Volume 164, 2022, ISSN 0038-0717
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.soilbio.2021.108466

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