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April 18, 2026Forests0 citationsOpen Access

LFNMR-Informed Multi-Phase Moisture Modelling of Wood Biodegradation by Coniophora puteana

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RDRoyson Donate DsouzaTBTiina BeltSFStefania Fortino

Key Points

  • The aim is to model how moisture transport is affected during the decay of wood by Coniophora puteana.
  • Developed a finite element model that integrates fungal colonization with moisture transport dynamics.
  • Incorporated experiments to inform inputs, including decay-modified sorption isotherms and permeability changes.
  • Validated the model with LF-NMR measurements on Scots pine over a 35-day period.
  • Applied Monte Carlo methods for uncertainty quantification and analyzed parameter interactions.
  • The model accurately predicts moisture behavior, with free-water peaking at 50%-70% during the first two weeks.
  • Bound water content remains stable despite ongoing decay.
  • Identified a transition from colonization control to transport control of moisture from weeks 1-2 to weeks 3-5.

Abstract

Fungal decay fundamentally alters moisture transport in wood through complex bio-physical coupling mechanisms that remain poorly understood. Brown-rot fungi such as Coniophora puteana (Schumach.: Fr.) P. Karst. degrade wood through chelator-mediated Fenton (CMF) chemistry, producing hydroxyl radicals that depolymerise cellulose and hemicellulose before significant mass loss. This diffusion-dependent process requires elevated moisture content and leads to structural degradation. However, existing models fail to capture the interaction between boundary-driven fungal colonization, decay-induced property changes, and multi-phase multi-Fickian moisture redistribution, particularly the separate evolution of bound- and free-water phases during decay. Here, we present a transport-response bio-hygrothermal finite element model that couples boundary-driven Monod-type fungal colonization kinetics with multi-phase moisture transport (free water, bound water, vapor) in decaying wood. Although fungal biomass evolution is simulated via a reaction–diffusion equation, decay progression is not derived from biomass–substrate interaction but prescribed independently as an experimentally informed input. The model incorporates decay-modified sorption isotherms, permeability evolution, and boundary-driven biomass influx, along with associated moisture transport, into the governing equations. The model is validated against low-field nuclear magnetic resonance (LF-NMR) measurements of C. puteana decay in Scots pine over 35 days. The model successfully reproduces the experimentally observed moisture evolution: a peak free-water content of 50%–70% during weeks 1–2, followed by a progressive decline, while bound water remains remarkably constant despite advancing decay. Monte Carlo uncertainty quantification demonstrates hierarchical parameter control: bound water is governed solely by thermodynamic factors, while free water responds to interacting biological and physical processes. Time-resolved correlation analysis shows a fundamental transition from colonization-dominated (weeks 1–2) to transport-dominated (weeks 3–5) moisture control, quantitatively explaining the experimentally observed shift from accumulation to depletion. This transport-response framework for analyzing moisture behavior under externally defined decay progression establishes quantitative parameter hierarchies that may inform the development of future substrate-coupled bio-hygrothermal models.

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Cite This Study

Dsouza et al. (2026) studied this question.

synapsesocial.com/papers/69e320e740886becb6540142https://doi.org/10.3390/f17040492
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