Implications of input estimation, residue quality and carbon saturation on the predictive power of the Rothamsted Carbon Model

Heitkamp, Felix; Wendland, Matthias; Offenberger, Konrad; Gerold, Gerhard

doi:10.1016/j.geoderma.2011.11.005

Cited by 56 publications

(28 citation statements)

References 44 publications

(82 reference statements)

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“…As mineral surfaces in a soil become saturated with C, C decomposition rates increase, and the rate of soil organic C storage per unit of C input declines. This phenomenon results in an asymptotic response of soil organic C stocks to increasing C inputs (Stewart et al, 2007;Gulde et al, 2008;Heitkamp et al, 2012). Six et al (2002) proposed a conceptual model of C protection based on measurable pools of organic C, including siltand clay-associated C pools and particulate organic matter C pools.…”

Section: M White Et Al: Implications Of Carbon Saturation Model mentioning

confidence: 99%

Implications of carbon saturation model structures for simulated nitrogen mineralization dynamics

2014

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Abstract. Carbon (C) saturation theory suggests that soils have a limited capacity to stabilize organic C and that this capacity may be regulated by intrinsic soil properties such as clay concentration and mineralogy. While C saturation theory has advanced our ability to predict soil C stabilization, few biogeochemical ecosystem models have incorporated C saturation mechanisms. In biogeochemical models, C and nitrogen (N) cycling are tightly coupled, with C decomposition and respiration driving N mineralization. Thus, changing model structures from non-saturation to C saturation dynamics can change simulated N dynamics. In this study, we used C saturation models from the literature and of our own design to compare how different methods of modeling C saturation affected simulated N mineralization dynamics. Specifically, we tested (i) how modeling C saturation by regulating either the transfer efficiency (ε, g C retained g −1 C respired) or transfer rate (k) of C to stabilized pools affected N mineralization dynamics, (ii) how inclusion of an explicit microbial pool through which C and N must pass affected N mineralization dynamics, and (iii) whether using ε to implement C saturation in a model results in soil texture controls on N mineralization that are similar to those currently included in widely used non-saturating C and N models. Models were parameterized so that they rendered the same C balance. We found that when C saturation is modeled using ε, the critical C : N ratio for N mineralization from decomposing plant residues (r cr ) increases as C saturation of a soil increases. When C saturation is modeled using k, however, r cr is not affected by the C saturation of a soil. Inclusion of an explicit microbial pool in the model structure was necessary to capture short-term N immobilization-mineralization turnover dynamics during decomposition of low N residues. Finally, modeling C saturation by regulating ε led to similar soil texture controls on N mineralization as a widely used non-saturating model, suggesting that C saturation may be a fundamental mechanism that can explain N mineralization patterns across soil texture gradients. These findings indicate that a coupled C and N model that includes saturation can (1) represent short-term N mineralization by including a microbial pool and (2) express the effects of texture on N turnover as an emergent property.

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Section: M White Et Al: Implications Of Carbon Saturation Model mentioning

confidence: 99%

Implications of carbon saturation model structures for simulated nitrogen mineralization dynamics

2014

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“…Many recent studies have modelled the changes in C stocks caused by changes in land management and use over mid-to long-term periods (ranging from a few years to a few decades) where C data are available (Battle-Aguilar et al 2011), such as 10 years (Jenkinson et al 1999) and 30 years (Kintché et al 2010) in a crop rotation system, 5 years (Romanyaa et al 2000) and 18 years (Palosuo et al 2012) in forest systems (Farage et al 2007;Nieto et al 12 years after fire and drought in grasslands and shrublands (Martí-Roura et al 2011), 13 years under tillage and N fertilization changes (Alvaro-Fuentes et al 2012) and 24 years of organic amendments (Heitkamp et al 2012). …”

Section: Introductionmentioning

confidence: 99%

Modelling the continuous exchange of carbon between living organisms, the soil and the atmosphere

et al. 2015

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AimsThis study evaluated a framework for modelling the continuous exchange of carbon (C) between the atmosphere, plants, humus, and microorganisms, proposing a plant C model coupled to MOMOS, an existing microbial C model.MethodsC data were collected on low fertility cereal-legume cropping systems. Plant C and microbial C were modelled simultaneously and the growth parameters of plants and nitrogen-fixing microorganisms were fitted to the data.ResultsAll C exchanges were successfully predicted using the same weather correction for plant and microbial processes. Most of the photosynthetic production was allocated to the roots, reducing yields. The C losses were found modelled mainly by root respiration for cereals, probably as an energy source for nutrient explorings, and by root mortality for legumes as a growth source for decomposers and symbiotic nodules. The effect of root-nodule activity on shoot growth was found non-linear. The system was modelled as a sink of 4.2 Mg C ha-1 year−1 in the soil’s labile C reserve.ConclusionsThis paper coordinates theoretical bases for modelling the processes regulating plant productivity associated with plant C losses. The tool appears to be robust and is now available for calculating the essential parameters of agro-ecology and climate change

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“…However, such approaches may lead to biased estimates of the C input and are barely suitable to form the basis for future estimations. Instead, an independent, precise determination of the C input is needed (Heitkamp et al, 2012;Kimura et al, 2011;Osborne et al, 2010).…”

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confidence: 99%

Stagnating crop yields: An overlooked risk for the carbon balance of agricultural soils?

Wiesmeier

Hübner

Kögel‐Knabner

2015

Science of The Total Environment

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Implications of input estimation, residue quality and carbon saturation on the predictive power of the Rothamsted Carbon Model

Cited by 56 publications

References 44 publications

Implications of carbon saturation model structures for simulated nitrogen mineralization dynamics

Implications of carbon saturation model structures for simulated nitrogen mineralization dynamics

Modelling the continuous exchange of carbon between living organisms, the soil and the atmosphere

Stagnating crop yields: An overlooked risk for the carbon balance of agricultural soils?

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