2020
DOI: 10.5194/gmd-13-1201-2020
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CE-DYNAM (v1): a spatially explicit process-based carbon erosion scheme for use in Earth system models

Abstract: Abstract. Soil erosion by rainfall and runoff is an important process behind the redistribution of soil organic carbon (SOC) over land, thereby impacting the exchange of carbon (C) between land, atmosphere, and rivers. However, the net role of soil erosion in the global C cycle is still unclear as it involves small-scale SOC removal, transport, and redeposition processes that can only be addressed over selected small regions with complex models and measurements. This leads to uncertainties in future projection… Show more

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Cited by 18 publications
(20 citation statements)
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“…For example, for European cropland subjected to a recent erosional disturbance 105 of c. 2 decades associated with mechanized tillage, a sink-term representing only 26 % of the eroded C was found (Van Oost et al, 2007). In contrast, for cropland subjected to >100 yr of continued water erosion, replacement rates of 58-100 % were found (Dymond, 2010;Li et al, 2015;Naipal et al, 2020). Thus, both observation-and model-based studies support the notion that the fraction of the eroded C that is replaced, and hence the erosion-induced sink term, increases with the duration of the erosional disturbance (Fig.…”
Section: Soc Recovery After Erosionmentioning
confidence: 99%
“…For example, for European cropland subjected to a recent erosional disturbance 105 of c. 2 decades associated with mechanized tillage, a sink-term representing only 26 % of the eroded C was found (Van Oost et al, 2007). In contrast, for cropland subjected to >100 yr of continued water erosion, replacement rates of 58-100 % were found (Dymond, 2010;Li et al, 2015;Naipal et al, 2020). Thus, both observation-and model-based studies support the notion that the fraction of the eroded C that is replaced, and hence the erosion-induced sink term, increases with the duration of the erosional disturbance (Fig.…”
Section: Soc Recovery After Erosionmentioning
confidence: 99%
“…For global cropland area, estimates range from 1 to 26 Tg/year 7 . Representations of the transport and deposition of particulate organic matter by water for use in land surface models are being developed but have not been adapted for nutrient cycles nor included in earth system models 25 . The inclusion of these processes in nutrient models will likely affect the simulated evolution of phosphorus fluxes in the recent past and for future scenarios due to land uses and management.…”
Section: Major Gapsmentioning
confidence: 99%
“…Global land surface models (LSMs) are important tools to simulate the feedbacks between terrestrial carbon cycle, increasing atmospheric CO2, and climate and land use change. However, the lateral carbon transfer, especially for the particulate organic carbon (POC), is still missing or incompletely represented in existing LSMs (Lauerwald et al, 2017;Lauerwald et al, 2020;Lugato et al, 2016;Naipal et al, 2020;Nakhavali et al, 2021;Tian et al, 2015). It has been hypothesized that the exclusion of lateral carbon transfer in LSMs implies a significant bias in the simulated global land carbon budget (Ciais et al, 2013;Ciais et al, 2021;Janssens et al, 2003).…”
Section: Introductionmentioning
confidence: 99%
“…However, the erosioninduced transport of POC, which is maybe even more important than the DOC transport in terms of lateral carbon flux (Lal., 2003;Tian et al, 2015;Tan et al, 2017), is still not or poorly represented in LSMs. The explicit simulation of the complete transport process of POC at large spatial scales is still a major challenge, due to the complexity of the processes involved, including erosion-induced sediment and POC delivery to rivers, deposition of sediment and POC in river channels and floodplains, re-detachment of the previously deposited sediments and POC, decomposition and transformation of POC in riverine and flooding waters, as well as the changes of soil profile caused by erosion and deposition (Doetterl et al, 2016;Naipal et al, 2020;Zhang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
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