Modelling the production and transport of dissolved organic carbon in forest soils

Michalzik, Beate; Tipping, Edward; Mulder, Jan; Gallardo, Juan F.; Matzner, Egbert; Bryant, Charlotte; Clarke, Nicholas; Lofts, Stephen; Esteban, Alba

doi:10.1023/b:biog.0000005329.68861.27

Cited by 177 publications

(176 citation statements)

References 48 publications

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“…Most of the DOC models commonly represent adsorption using the simple initial mass (IM) linear isotherm (Eq. 10; Neff and Asner, 2001;Wu et al, 2014) or using a first-order kinetic reaction to represent a linear adsorption (Laine-Kaulio et al, 2014;Michalzik et al, 2003):…”

Section: Doc Sorption To Soil Mineralsmentioning

confidence: 99%

“…Several models can predict DOC concentrations and export on the site, landscape, or catchment scale (Ahrens et al, 2015;Futter et al, 2007;Gjettermann et al, 2008;Neff and Asner, 2001;Jutras et al, 2011;Michalzik et al, 2003;Ota et al, 2013;Tian et al, 2015;Wu et al, 2014). These models differ in the definitions of the soil C pools (from turnover times to chemically differentiated fractions), the level of detail in the process formulation (e.g., from simple first-order kinetics to nonlinear relationships, including or not including sorption to soil minerals), and the spatial and temporal resolution (from site to global and from hourly to annual or longer timescales).…”

Section: Introductionmentioning

confidence: 99%

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ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

et al. 2018

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Abstract. Current land surface models (LSMs) typically represent soils in a very simplistic way, assuming soil organic carbon (SOC) as a bulk, and thus impeding a correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a vertically discretized soil to 2 m. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: a coniferous forest, a deciduous forest, a grassland, and a cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the Published by Copernicus Publications on behalf of the European Geosciences Union. 938M. Camino-Serrano et al.: ORCHIDEE-SOM model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a plant-and depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming.

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Section: Doc Sorption To Soil Mineralsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

et al. 2018

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“…There are advantages, in terms of parameter identifiability, in using simple catchment models that link the biogeochemistry of DOC generation with hydrological transport processes (Paudel and Jawitz 2012), though existing models are usually restricted to smaller scales (e.g. the soil profile) such as DyDOC and still have a large number of parameters (Michalzik et al 2003). Recently, Birkel et al (2014a) developed an approach, that directly coupled a simple conceptualisation of soil biogeochemical processes governing DOC production, with a low parameterised hydrological transport model.…”

Section: Introductionmentioning

confidence: 99%

Modelling landscape controls on dissolved organic carbon sources and fluxes to streams

et al. 2014

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Catchment dissolved organic carbon (DOC) fluxes are governed by complex interactions, which control biogeochemical processes generating DOC and hydrological connectivity, facilitating transport through the landscape to streams. This paper presents the development of a coupled hydrologicalbiogeochemical model for a northern watershed with organic-rich soils, to simulate daily DOC concentrations. The parsimonious model design allows the relative importance of DOC fluxes from the major landscape units (e.g. hillslopes, groundwater and riparian saturation area) to be determined. The dynamic extent of the saturated riparian zone, which at maximum wetness comprised 40 % of the drainage area, contributed 84 % of DOC to the stream, of which 16 % was derived from the hillslope soils. This shows the disproportional riparian influence on stream water chemistry and the importance of the non-linearity in hydrological connectivity. The temporal connectivity of each of the landscape units was dependent on antecedent moisture conditions, with highly transient connections between the hillslope and valley bottom saturated area, which were entirely disconnected during the driest periods. The groundwater contribution remained constant, but its relative importance increased during the driest periods. The study emphasises the importance of conceptualising hydrological connectivity and its relation to hydroclimatic factors, as well soil biogeochemical processes, when modelling stream water DOC.

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“…Subsequently the C accumulation rates decrease with time and reach a steady state after thousands of years (Perruchoud and Fischlin, 1995;Michalzik et al, 2003). Consequently, the C sink in soils is greatest during the first decades to centuries of soil genesis.…”

Section: Soil-organic Carbon Dynamics and Ecosystem Evolutionmentioning

confidence: 99%

Weathering, soil formation and initial ecosystem evolution on a glacier forefield: a case study from the Damma Glacier, Switzerland

Bernasconi

2008

Mineral. mag.

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The understanding of biogeochemical processes at the interface between geosphere, hydrosphere and biosphere is of paramount importance for many questions related to global climate and environmental change at very different time and spatial scales. In addition, soils are the principal resource for food production and the understanding of soil formation processes and biological interactions within soils is indispensable for the development of sustainable land-use strategies. In this contribution we present a research initiative, the multidisciplinary ‘BigLink’ Project, aiming at a better understanding of the links between weathering, soil formation and ecosystem evolution and how these biosphere-geosphere interactions are influenced (and themselves influence) climate and environmental change.

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Modelling the production and transport of dissolved organic carbon in forest soils

Cited by 177 publications

References 48 publications

ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

Modelling landscape controls on dissolved organic carbon sources and fluxes to streams

Weathering, soil formation and initial ecosystem evolution on a glacier forefield: a case study from the Damma Glacier, Switzerland

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