C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter

Sainte-Marie, Julien; Barrandon, Matthieu; Saint‐André, Laurent; Gelhaye, Éric; Martin, Francis; Derrien, Delphine

doi:10.1038/s41467-021-21079-6

Cited by 27 publications

(16 citation statements)

References 73 publications

(58 reference statements)

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“…While most models assume independent decomposition in each compartment, some describe interactions between recalcitrant and labile compounds, including inhibition of hydrolizable C decomposition when the content of recalcitrant compounds is high (Moorhead and Sinsabaugh, 2006;Moorhead et al, 2013;Campbell et al, 2016;Fatichi et al, 2019). In contrast, a recent continuous quality model describes in a mechanistic way the release of cellulose from the lignin matrix (Sainte-Marie et al, 2021). These models, however, are generally complex and require estimation of numerous parameters (except for the simple parameterization in Moorhead et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition

Manzoni

Chakrawal

Spohn

et al. 2021

Front. For. Glob. Change

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Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics–modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using ∼80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using “standard” litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.

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Section: Introductionmentioning

confidence: 99%

Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition

Manzoni

Chakrawal

Spohn

et al. 2021

Front. For. Glob. Change

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“…In addition, by using knowledge from decomposition models that include microbial parameters, it will be possible to better estimate decomposition rates under a changing climate and in different land use types. Until now, only a few models have been developed including microbial traits (Treseder et al ., 2011; Allison, 2012; Sainte-Marie et al ., 2021). Our results show that fungal biomass on its own is not enough and fungal diversity should be included in models to better estimate and understand ecosystem functioning.…”

Section: Discussionmentioning

confidence: 99%

Assessing the role of fungal diversity in decomposition: A meta-analysis

Drost

Wal

Boer

et al. 2021

Preprint

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Fungi play an important role in carbon and nutrient cycling. It is, however, unclear if diversity of fungi is essential to fulfill this role. With this meta-analysis, we aim to understand the relationship between fungal diversity and decomposition of plant materials (leaf litter and wood) in terrestrial and aquatic environments. The selection criteria for papers were the presence of a fungal diversity gradient and quantification of decomposition as mass loss. In total 40 papers met the selection criteria. We hypothesized that increase of fungal species will result in stronger decomposition, especially in species poor communities. Both artificial inoculated and naturally assembled fungal communities were included in the analysis in order to assess whether manipulated experiments are representative for field situations. We found a significant positive effect of increased fungal diversity on decomposition. However, in manipulated experiments this relationship was only positive when a control treatment of one fungus was compared with multispecies communities. This relationship became negative when comparisons of higher initial richness (at least two fungal species as control) were included. In contrast, under natural field conditions increased fungal diversity coincided with increased decomposition. This suggests that manipulated experiments are not representative for field situations. Possible reasons for this are discussed. Yet, both in manipulated and field experiments, environmental factors can influence diversity decomposition relationships as indicated by a negative relationship of increasing C:N ratio on the effect of fungal diversity on decomposition. Overall, our results show that fungal diversity can have an important role in decomposition, but that design of experiments (manipulated or field) and quality of the plant material should be taken into account for interpretation of this diversity-functioning relationship.

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“…Moreover, if CPOM transport is 75% of the OM input in the litter, it means that litter-derived FPOM supply only 6% of the annual FPOM load, and the rest is derived from riverside soils. Yet, soil-derived FPOM is often bound to mineral components such as clays or carbonate particles, which protect OM from mineralization [63][64][65]. Hence CPOM might be a significant energy input delivered to the lake delta, fueling the high GHG emissions of these areas [27,66].…”

Section: Ecological Significance In Relation To Global Changementioning

confidence: 99%

Coarse and Fine Particulate Organic Matter Transport by a Fourth-Order Mountain Stream to Lake Bourget (France)

Gaillard

Chanudet²,

Cunillera

et al. 2021

Water

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Transport of coarse particulate organic matter (CPOM) derived from forest litterfall has been hardly studied in rivers, unlike fine particulate organic matter (FPOM) or dissolved organic matter (DOM). Yet, many rivers are dammed or run into lakes, and there is growing evidence that CPOM accumulation in river delta participates substantially in ecological processes such as greenhouse gas emissions of lakes and reservoirs. We investigated the transport of CPOM and FPOM by the Leysse River (discharge from 0.2 to 106 m3 s−1) to Lake Bourget (France) in relation to aerial litter deposition, river network length, and discharge. Over a 19-month study period, the volume-weighted mean CPOM and FPOM concentrations were 1.3 and 7.7 g m−3, respectively. Most CPOM and FPOM transport occurred during major flood events, and there were power relationships between maximum discharge and particulate organic matter (POM) transport during these events. The annual export of CPOM (190 t AFDM) was 85% of the litter accumulation in autumn on permanent sections of the riverbed (224 t AFDM), which suggests that export is a major process compared to breakdown. Export of CPOM was 1.25 t yr−1 km−2 of the forested catchment area. This study highlights the need to account for long-range CPOM transport to describe the fate of litter inputs to streams and to quantify the organic matter input and processing in lakes and reservoirs.

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C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter

Cited by 27 publications

References 73 publications

Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition

Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition

Assessing the role of fungal diversity in decomposition: A meta-analysis

Coarse and Fine Particulate Organic Matter Transport by a Fourth-Order Mountain Stream to Lake Bourget (France)

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