Soil carbon and nitrogen mineralization: Theory and models across scales

Manzoni, Stefano; Porporato, Amilcare

doi:10.1016/j.soilbio.2009.02.031

Cited by 788Soil Carbon and Nitrogen DynamicsSoil Geostatistics and MappingSoil and Unsaturated Flow

Soil carbon and nitrogen mineralization: Theory and models across scales

Manzoni, Stefano, Porporato, Amilcare·2009·Soil Biology and Biochemistry

DOI 10.1016/j.soilbio.2009.02.031

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Abstract

In the last 80 years, a number of mathematical models of different level of complexity have been developed to describe biogeochemical processes in soils, spanning spatial scales from few μm to thousands of km and temporal scales from hours to centuries. Most of these models are based on kinetic and stoichiometric laws that constrain elemental cycling within the soil and the nutrient and carbon exchange with vegetation and the atmosphere. While biogeochemical model performance has been previously assessed in other reviews, less attention has been devoted to the mathematical features of the models, and how these are related to spatial and temporal scales. In this review, we consider 250 biogeochemical models, highlighting similarities in their theoretical frameworks and illustrating how their mathematical structure and formulation are related to the spatial and temporal scales of the model applications. Our analysis shows that similar kinetic and stoichiometric laws, formulated to mechanistically represent the complex underlying biochemical constraints, are common to most models, providing a basis for their classification. Moreover, a historic analysis reveals that the complexity and degree and number of nonlinearities generally increased with date, while they decreased with increasing spatial and temporal scale of interest. We also found that mathematical formulations specifically developed for certain scales (e.g., first order decay rates assumed in yearly time scale decomposition models) often tend to be used also at other spatial and temporal scales different from the original ones, possibly resulting in inconsistencies between theoretical formulations and model application. It is thus critical that future modeling efforts carefully account for the scale-dependence of their mathematical formulations, especially when applied to a wide range of scales.

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Most process-based SOC models assume that degradation of residues from biomass can be represented by a continuum or two or more pools of plant or soil OM of similar chemical composition and degradability.
“Most process-based SOC models assume that degradation of residues from biomass can be represented by a continuum or two or more pools of plant or soil OM of similar chemical composition and degradability [161].”
From Carbon Sequestration by Perennial Energy Crops: Is the Jury Still Out? (2015) · cites this paper as [161]

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Persistence of soil organic matter as an ecosystem property
Schmidt, M. W. I., Torn, M. S., Abiven, S., Dittmar, T., Guggenberger, G., Janssens, I. A., Kleber, M., Kögel-Knabner, I., Lehmann, J., Manning, D. A. C., et al. (2011) · Nature · doi:10.1038/nature10386 · Cited by 6,057 · see citing works
Soil organic matter turnover is governed by accessibility not recalcitrance
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Adjustment of microbial nitrogen use efficiency to carbon:nitrogen imbalances regulates soil nitrogen cycling
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Organic amendments increase crop yields by improving microbe-mediated soil functioning of agroecosystems: a meta-analysis
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Carbon Sequestration by Perennial Energy Crops: Is the Jury Still Out?
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Ryegrass-derived pyrogenic organic matter changes organic carbon and nitrogen mineralization in a temperate forest soil
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Authors: Manzoni, S., & Porporato, A.
Affiliations: Duke University (US)
Corresponding author: Porporato, Amilcare
ORCID: Manzoni, Stefano
Porporato, Amilcare
Venue: Soil Biology and Biochemistry
Publisher: Elsevier BV
Published: 2009-07
Volume: 41
Issue: 7
Pages: 1355-1379
ISSN: 0038-0717 (ISSN-L)
DOI: 10.1016/j.soilbio.2009.02.031
OpenAlex: W2072057183
Cited by: 788
References: 314
Citations by year: 2026: 46 · 2025: 40 · 2024: 61 · 2023: 55 · 2022: 55 · 2021: 42 · 2020: 52 · 2019: 80 · 2018: 42 · 2017: 41 · 2016: 50 · 2015: 43 · 2014: 46 · 2013: 46 · 2012: 36
FWCI: 49.59
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Soil Biology and Biochemistry (publishedVersion)
Topics: Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
Keywords: soil carbon mineralization, soil nitrogen mineralization, biogeochemical modeling, kinetic laws, spatial and temporal scales, scale dependence, model complexity, decomposition model, first-order decay rate

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Soil carbon and nitrogen mineralization: Theory and models across scales

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