Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter
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Published:2020-10-19
Issue:20
Volume:17
Page:5025-5042
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Meurer Katharina Hildegard ElisabethORCID, Chenu Claire, Coucheney Elsa, Herrmann Anke MarianneORCID, Keller Thomas, Kätterer ThomasORCID, Nimblad Svensson David, Jarvis NicholasORCID
Abstract
Abstract. Models of soil organic carbon (SOC) storage and turnover can be useful tools to analyse the effects of soil and crop management practices and climate
change on soil organic carbon stocks. The aggregated structure of soil is
known to protect SOC from decomposition and, thus, influence the potential
for long-term sequestration. In turn, the turnover and storage of SOC
affects soil aggregation, physical and hydraulic properties and the
productive capacity of soil. These two-way interactions have not yet been
explicitly considered in modelling approaches. In this study, we present and describe a new model of the dynamic feedbacks between soil organic
matter (SOM) storage and soil physical properties (porosity, pore size distribution, bulk density and layer thickness). A sensitivity analysis was first performed to understand the behaviour of the model. The identifiability of model parameters was then
investigated by calibrating the model against a synthetic data set. This
analysis revealed that it would not be possible to unequivocally estimate
all of the model parameters from the kind of data usually available in field
trials. Based on this information, the model was tested against measurements
of bulk density, SOC concentration and limited data on soil water
retention and soil surface elevation made during 63 years in a field trial
located near Uppsala (Sweden) in three treatments with different organic matter (OM) inputs
(bare fallow, animal and green manure). The model was able to accurately
reproduce the changes in SOC, soil bulk density and surface elevation
observed in the field as well as soil water retention curves measured at the
end of the experimental period in 2019 in two of the treatments.
Treatment-specific variations in SOC dynamics caused by differences in OM
input quality could be simulated very well by modifying the value for the OM
retention coefficient ε (0.37 for animal manure and 0.14 for
green manure). The model approach presented here may prove useful for
management purposes, for example, in an analysis of carbon sequestration or
soil degradation under land use and climate change.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
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