Articles | Volume 13, issue 4
https://doi.org/10.5194/bg-13-887-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-887-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Responses of two nonlinear microbial models to warming and increased carbon input
CSIRO Ocean and Atmosphere, PMB 1, Aspendale, Victoria 3195,
Australia
J. Jiang
Department of Ecology and Evolutionary Biology,
University of Tennessee, Knoxville, TN 37996, USA
B. Chen-Charpentier
Department of
Mathematics, University of Texas, Arlington, TX, USA
F. B. Agusto
Department
of Mathematics and Statistics, Austin Peay State University, Clarksville
TN 37044, USA
A. Hastings
Department of Environmental Science and Policy,
University of California, One Shields Avenue, Davis, CA 95616, USA
F. Hoffman
Oak Ridge National Laboratory, Computational Earth Sciences Group,
P.O. Box 2008, Oak Ridge, TN 37831, USA
M. Rasmussen
Department of Mathematics,
Imperial College, London, UK
M. J. Smith
Computational Science Laboratory,
Microsoft Research, Cambridge, UK
K. Todd-Brown
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
Pacific Northwest National Laboratory, Richland,
WA, USA
Y. Wang
Department of Mathematics, University of Oklahoma, Norman,
OK, USA
X. Xu
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
Y. Q. Luo
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
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Latest update: 02 Dec 2025
Short summary
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C decreases in one model but can increase or decrease in the other model, and sensitivity of priming response to carbon input increases with soil T in one model but decreases in the other model
Significance: these differences in the responses can be used to discern which model is more realistic, which will improve our understanding of the significance of soil microbial processes in the terrestrial C cycle.
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C...
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