Cited by 53Soil Carbon and Nitrogen DynamicsSoil and Unsaturated FlowSoil erosion and sediment transport

Modelling water, carbon and nitrogen dynamics in soil covered with decomposing mulch

Findeling, A., Garnier, P., Coppens, F., Lafolie, F., Recous, S.·2007·European Journal of Soil Science

Abstract

Summary: A decomposing mulch of residues on the soil affects strongly the water, carbon and nitrogen cycling in the soil. The mulch generates complex and interacting effects that remain difficult to quantify and model. An original mulch module was developed and implemented in the PASTIS model to account for the main biological and physical effects of decomposing mulch. In the extended model, PASTIS mulch , the formalism splits the mulch into a decomposable layer in contact with the soil and an overlying not decomposable layer that ‘feeds’ the former. The model was calibrated on laboratory data derived from mulched soil columns experiments. Two types of residues were tested: rape residues made of large elemental particles (length, 10 mm; width, 3–10 mm; thickness, 0.1–8 mm) with a C:N ratio of 29, and rye residues consisting of smaller particles (length, 10 mm; width, 2 mm; thickness, 0.1 mm) with a smaller C:N ratio of 16. Calibration showed that mulch parameters were dependent on the type of residue. The model run with calibrated parameters provided good simulations of the water, carbon and nitrogen dynamics, with global efficiencies greater than 0.8. The sensitivity analysis carried out on seven key parameters showed that the total mulch dry mass and the proportion of this dry mass in contact with the soil are decisive parameters. PASTIS mulch highlighted that mulch decomposition was not a continuous process but occurred in the form of successive pulses that correspond to favourable hydric conditions.

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Crossref · 10.1111/j.1365-2389.2006.00826.x

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  • Process-based SOC models usually have decomposition reduction functions based on soil moisture, derived from soil water potential or soil water content.

    “Usually, process-based SOC models [41, 182] have decomposition reduction functions based on soil moisture, derived from the soil water potential or soil water content.”

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Authors
Findeling, A., Garnier, P., Coppens, F., Lafolie, F., & Recous, S.
Affiliations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
Corresponding author
Findeling, A.
Venue
European Journal of Soil Science
Publisher
Wiley
Published
2007-01-31
Volume
58
Issue
1
Pages
196-206
ISSN
  • 1351-0754 (ISSN-L)
  • 1365-2389
OpenAlex
W2029315514
Cited by
53
References
30
Citations by year
2026: 4 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 7 · 2020: 1 · 2019: 5 · 2018: 4 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 2 · 2013: 3 · 2012: 3
FWCI
2.23
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Soil Science (publishedVersion)
  • HAL (submittedVersion)
  • Agritrop (Cirad) (submittedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Soil and Unsaturated Flow
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
Keywords
crop residues, soil water dynamics, soil carbon cycling, soil nitrogen cycling, mulch decomposition, C/N ratio, model calibration, sensitivity analysis

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