Articles | Volume 16, issue 6
https://doi.org/10.5194/bg-16-1225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-1225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Unifying soil organic matter formation and persistence frameworks: the MEMS model
Andy D. Robertson
CORRESPONDING AUTHOR
Department of Soil and Crop Sciences Colorado State University, Fort
Collins, CO 80523, USA
Natural Resources Ecology Laboratory, Colorado State University,
Fort Collins, CO 80523, USA
Keith Paustian
Department of Soil and Crop Sciences Colorado State University, Fort
Collins, CO 80523, USA
Natural Resources Ecology Laboratory, Colorado State University,
Fort Collins, CO 80523, USA
Stephen Ogle
Natural Resources Ecology Laboratory, Colorado State University,
Fort Collins, CO 80523, USA
Department of Ecosystem Science and Sustainability, Colorado State
University, Fort Collins, CO 80523, USA
Matthew D. Wallenstein
Department of Soil and Crop Sciences Colorado State University, Fort
Collins, CO 80523, USA
Natural Resources Ecology Laboratory, Colorado State University,
Fort Collins, CO 80523, USA
Emanuele Lugato
European Commission, Joint Research Centre (JRC), Ispra (VA), Italy
M. Francesca Cotrufo
Department of Soil and Crop Sciences Colorado State University, Fort
Collins, CO 80523, USA
Natural Resources Ecology Laboratory, Colorado State University,
Fort Collins, CO 80523, USA
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- Optimizing Carbon Sequestration Through Cover Cropping in Mediterranean Agroecosystems: Synthesis of Mechanisms and Implications for Management N. Moukanni et al. 10.3389/fagro.2022.844166
- On Quantifying Water Quality Benefits of Healthy Soils T. Zimnicki et al. 10.1093/biosci/biaa011
- Effects of long-term sewage sludge addition to a calcareous soil on soil organic C fractions and soil functions A. Simões-Mota et al. 10.1016/j.geoderma.2024.116868
- Coarse mineral-associated organic matter is a pivotal fraction for SOM formation and is sensitive to the quality of organic inputs M. Samson et al. 10.1016/j.soilbio.2020.107935
- Challenges of Including Wet Grasslands with Variable Groundwater Tables in Large-Area Crop Production Simulations V. Khaledi et al. 10.3390/agriculture14050679
- Cover cropping in organic reduced tillage systems: Maximizing soil cover or plant above ground biomass input? S. Oberholzer et al. 10.1111/ejss.70012
- Quantifying the relationships between soil fraction mass, fraction carbon, and total soil carbon to assess mechanisms of physical protection A. King et al. 10.1016/j.soilbio.2019.04.019
- Different climate sensitivity of particulate and mineral-associated soil organic matter E. Lugato et al. 10.1038/s41561-021-00744-x
- The Different Factors Driving SOC Stability under Different N Addition Durations in a Phyllostachys edulis Forest Y. Wu et al. 10.3390/f14091890
- Plant rhizodeposition: A key factor for soil organic matter formation in stable fractions S. Villarino et al. 10.1126/sciadv.abd3176
- Detritivore conversion of litter into faeces accelerates organic matter turnover F. Joly et al. 10.1038/s42003-020-01392-4
- Simulating adaptive grazing management on soil organic carbon in the Southeast U.S.A. using MEMS 2 R. Santos et al. 10.1016/j.jenvman.2024.121657
- Cover cropping associated with no-tillage system promotes soil carbon sequestration and increases crop yield in Southern Brazil M. Besen et al. 10.1016/j.still.2024.106162
- Particulate and mineral-associated organic carbon turnover revealed by modelling their long-term dynamics X. Guo et al. 10.1016/j.soilbio.2022.108780
- Molecular Determination of Organic Adsorption Sites on Smectite during Fe Redox Processes Using ToF-SIMS Analysis L. Huang et al. 10.1021/acs.est.0c08407
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Discussed (final revised paper)
Discussed (preprint)
Latest update: 20 Nov 2024
Short summary
Predicting how soils respond to varying environmental conditions or land-use change is essential if we aim to promote sustainable management practices and help mitigate climate change. Here, we present a new ecosystem-scale soil model (MEMS v1) that is built upon recent, novel findings and can be run using very few inputs. The model accurately predicted soil carbon stocks for more than 8000 sites across Europe, ranging from cold, wet forests in sandy soils to hot, dry grasslands in clays.
Predicting how soils respond to varying environmental conditions or land-use change is essential...
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Final-revised paper
Preprint