Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Yu, Lin; Ahrens, Bernhard; Wutzler, Thomas; Schrumpf, Marion; Zaehle, Sönke

doi:10.5194/gmd-13-783-2020

Cited by 45 publications

(53 citation statements)

References 72 publications

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“…This simple model has been shown to accurately represent the observed relationships between organic matter concentration and bulk density in forest soils in Wales (Stewart et al, 1970;Adams, 1973) and northeastern USA (Federer et al, 1993) and agricultural soils in Australia (Tranter et al, 2007). More recently, this function has been incorporated into the Jena model (Ahrens et al, 2015;Yu et al, 2020). The validity of the extended model approach presented here, which explicitly incorporates macroporosity and soil aggregation, is confirmed by Fig.…”

Section: Soil Physical Propertiessupporting

confidence: 58%

Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter

et al. 2020

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Abstract. Models of soil organic carbon (SOC) storage and turnover can be useful tools to analyse the effects of soil and crop management practices and climate change on soil organic carbon stocks. The aggregated structure of soil is known to protect SOC from decomposition and, thus, influence the potential for long-term sequestration. In turn, the turnover and storage of SOC affects soil aggregation, physical and hydraulic properties and the productive capacity of soil. These two-way interactions have not yet been explicitly considered in modelling approaches. In this study, we present and describe a new model of the dynamic feedbacks between soil organic matter (SOM) storage and soil physical properties (porosity, pore size distribution, bulk density and layer thickness). A sensitivity analysis was first performed to understand the behaviour of the model. The identifiability of model parameters was then investigated by calibrating the model against a synthetic data set. This analysis revealed that it would not be possible to unequivocally estimate all of the model parameters from the kind of data usually available in field trials. Based on this information, the model was tested against measurements of bulk density, SOC concentration and limited data on soil water retention and soil surface elevation made during 63 years in a field trial located near Uppsala (Sweden) in three treatments with different organic matter (OM) inputs (bare fallow, animal and green manure). The model was able to accurately reproduce the changes in SOC, soil bulk density and surface elevation observed in the field as well as soil water retention curves measured at the end of the experimental period in 2019 in two of the treatments. Treatment-specific variations in SOC dynamics caused by differences in OM input quality could be simulated very well by modifying the value for the OM retention coefficient ε (0.37 for animal manure and 0.14 for green manure). The model approach presented here may prove useful for management purposes, for example, in an analysis of carbon sequestration or soil degradation under land use and climate change.

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Section: Soil Physical Propertiessupporting

confidence: 58%

Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter

et al. 2020

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“…The Jena Soil Model (JSM) is a microbe-based, vertically explicit soil carbon model with integrated N and P cycles (Yu et al, 2020). It represents the turnover and formation of SOM based on mechanistic descriptions of soil processes such as microbially mediated depolymerization, organomineral association, and transport of dissolved organic matter (DOM) as well as bioturbation following the COMISSION model (Ahrens et al, 2015).…”

Section: Modelsmentioning

confidence: 99%

“…Plant production and microbial activity rely on nutrient availability so that the response of soil C storage to global changes is expected to be modulated by soil nutrient contents (Fernández-Martínez et al, 2014;Wieder et al, 2015). However, while a range of soil models coupling carbon and nutrient cycles are already available (e.g., Schimel and Weintraub, 2003;Moorhead and Sinsabaugh, 2006), only the latest ones have an explicit representation of microbial activity or consider the full vertical profile (e.g., Abramoff et al, 2017;Sulman et al, 2019, Yu et al, 2020. It remains to be tested if the microbial-explicit models can better reproduce interactions between C and nutrient cycling in soils, both along gradients in soil nutrient contents, or under fertilization or increased nutrient deposition.…”

Section: Introductionmentioning

confidence: 99%

“…For example, soil priming effect, i.e., the change in SOM decomposition caused by plant root activity (Kuzyakov et al, 2000), was found to be affected by the litter C:N ratio (Abramoff et al, 2017;Wutzler et al, 2017), the SOM stability (Huang et al, 2018), and mycorrhizal association types (Sulman et al, 2017(Sulman et al, , 2019, thus further influence the soil respiration and C storage. Recent developments in these models have focused on representations of the P cycle (Goll et al, 2017;Thum et al, 2019 and microbial processes (Sulman et al, 2019;Yu et al, 2020), which provide a new opportunity to investigate soil responses to nutrient additions. One important assumption in these models of the P cycle is the so-called bio-mineralization process, which accounts for an additional soil P mining pathway that does not involve C release (McGill and Cole, 1981;Wang et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…One important assumption in these models of the P cycle is the so-called bio-mineralization process, which accounts for an additional soil P mining pathway that does not involve C release (McGill and Cole, 1981;Wang et al, 2010). The bio-mineralization has been quantified as one of the main sources for plant P supply in many modeling studies (Goll et al, 2012;Thum et al, 2019, Wang et al, 2010Yu et al, 2018) and also identified as an important process regulating the SOM C:P ratio (Yu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient

Ahrens

Wutzler

et al. 2020

Front. For. Glob. Change

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In this study, we investigate the responses of soil organic carbon (C) to nitrogen (N) and phosphorus (P) additions along a soil P stock gradient of five beech forest stands in Germany, using a modeling approach. Two different soil models with coupled C, N, and P cycles are used to simulate fertilization experiments conducted at the study sites. The first model, the stand-alone soil module of QUINCY (QUINCY-soil, Thum et al., 2019), is a conventional soil model that uses first-order kinetics to describe soil organic matter (SOM) turnover and represents microbial biomass only implicitly. The second model, the Jena Soil Model (JSM) (Yu et al., 2020), is a novel microbial soil model, which explicitly simulates microbial dynamics and describes the turnover of SOM as the consequence of several interactive processes, such as microbially mediated depolymerization of litter and SOM, organo-mineral association, and vertical transport. We applied both site-level models to five study sites and compared the modeled soil profile with observations. In addition, model scenarios were conducted to simulate the fertilization of N and P, and we further evaluate the effect of soil P stock, plant litter quality, and SOM CNP stoichiometry, on the responses of soil (heterotrophic) respiration (R s) to nutrient addition. We found that the fitness between simulated and observed SOM profiles (defined as normalized root mean square ratios, K nrmsr) were generally better in JSM than in QUINCY-soil (K nrmsr larger by 0.03 ± 0.10 to 0.16 ± 0.06 for various soil measurements at all sites); The general pattern of observed R s responses to nutrient fertilization, that N addition decreases R s whereas P addition increases it, can be reproduced by JSM but not by QUINCY-soil. Our results indicated that a detailed explicit description of microbial processes and organo-mineral association is required to model plant-soilmicrobial interactions, thus to better reproduce SOM profiles and their responses to nutrient additions. It highlights the need to better represent these processes in future model developments.

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Low Redox Decreases Potential Phosphorus Limitation on Soil Biogeochemical Cycling Along a Tropical Rainfall Gradient

2021

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Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes

Cited by 45 publications

References 72 publications

Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter

Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter

Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient

Low Redox Decreases Potential Phosphorus Limitation on Soil Biogeochemical Cycling Along a Tropical Rainfall Gradient

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