Articles | Volume 8, issue 6
https://doi.org/10.5194/gmd-8-1789-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1789-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Representing life in the Earth system with soil microbial functional traits in the MIMICS model
Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, USA
Institute for Arctic and Alpine Research, University of Colorado, Boulder, CO, USA
A. S. Grandy
Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA
C. M. Kallenbach
Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA
P. G. Taylor
Institute for Arctic and Alpine Research, University of Colorado, Boulder, CO, USA
Nicholas School of the Environment, Duke University, Durham, NC, USA
G. B. Bonan
Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, USA
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121 citations as recorded by crossref.
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- Modeling coupled pesticide degradation and organic matter turnover: From gene abundance to process rates H. Pagel et al. 10.1016/j.soilbio.2016.09.014
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Short summary
Projecting biogeochemical responses to environmental change requires multi-scaled perspectives. However, microbes, the drivers of soil organic matter decomposition and stabilization, remain notably absent from models used to project carbon cycle–climate feedbacks. Here, we apply and evaluate representations of microbial functional diversity across scales and find that such representations may be critical to accurately project soil carbon dynamics in a changing world.
Projecting biogeochemical responses to environmental change requires multi-scaled perspectives....