Scaling up microbial dynamics for soil carbon cycling models Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.5194/egusphere-egu2020-3739
<p>Soils are heterogeneous at all scales and so are the biogeochemical reactions driving the cycling of carbon (C) and nutrients in soils. While the microbial processes involved in these reactions occur at the pore scale, what we observe at the soil core or pedon scale depends on how micro-scale processes are integrated in space (and time). This integration step requires accounting for the inherent patchiness of soils, but models used to describe element cycling in soils typically assume that conditions are well-mixed and that kinetics laws developed for laboratory conditions hold. Similarly, the response functions used in models to capture the effects of environmental conditions on C and nutrient fluxes neglect the contribution of spatial heterogeneities, which might alter their shape. There is therefore a need to re-evaluate model structures to test whether they can account for micro-scale heterogeneities. Alternatively, one can ask why some models are clearly successful in capturing observations despite neglecting soil heterogeneities. In this contribution, we present examples of how soil heterogeneities – in particular the spatial placement of soil microorganisms and their substrate – may affect decomposition kinetics and microbial responses to soil drying. We show that the kinetics laws used in current models are different from the kinetics obtained by integrating microbial dynamics at the micro-scale, and that respiration responses to soil drying may vary depending on soil heterogeneity. These results thus highlight structural uncertainties in current models that we propose can be assessed using existing ‘scale-aware’ methods to derive macro-scale model formulations. Model advances will need to be supported by empirical evidence bridging the gap between pore and core (or larger) scales, but can also provide new theory-based hypotheses for novel experiments.</p>
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu2020-3739
- OA Status
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3083979137Canonical identifier for this work in OpenAlex
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https://doi.org/10.5194/egusphere-egu2020-3739Digital Object Identifier
- Title
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Scaling up microbial dynamics for soil carbon cycling modelsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-03-09Full publication date if available
- Authors
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Stefano Manzoni, Arjun Chakrawal, Naoise NunanList of authors in order
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https://doi.org/10.5194/egusphere-egu2020-3739Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/egusphere-egu2020-3739Direct OA link when available
- Concepts
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Biogeochemical cycle, Soil water, Environmental science, Cycling, Soil science, Nutrient cycle, Scaling, Soil structure, Spatial ecology, Scale (ratio), Temporal scales, Soil carbon, Biological system, Atmospheric sciences, Nutrient, Ecology, Environmental chemistry, Chemistry, Mathematics, Physics, Biology, Archaeology, Quantum mechanics, Geometry, HistoryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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