CE-DYNAM (v1): a spatially explicit process-based carbon erosion scheme for use in Earth system models

<p>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...

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Bibliographic Details
Main Authors: V. Naipal, R. Lauerwald, P. Ciais, B. Guenet, Y. Wang
Format: Article
Language:English
Published: Copernicus Publications 2020-03-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/13/1201/2020/gmd-13-1201-2020.pdf
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Summary:<p>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 projections of SOC stocks and complicates the evaluation of strategies to mitigate climate change through increased SOC sequestration.</p> <p>In this study we present the parsimonious process-based Carbon Erosion DYNAMics model (CE-DYNAM) that links sediment dynamics resulting from water erosion with the C cycle along a cascade of hillslopes, floodplains, and rivers. The model simulates horizontal soil and C transfers triggered by erosion across landscapes and the resulting changes in land–atmosphere <span class="inline-formula">CO<sub>2</sub></span> fluxes at a resolution of about 8&thinsp;km at the catchment scale. CE-DYNAM is the result of the coupling of a previously developed coarse-resolution sediment budget model and the ecosystem C cycle and erosion removal model derived from the Organising Carbon and Hydrology In Dynamic Ecosystems (ORCHIDEE) land surface model. CE-DYNAM is driven by spatially explicit historical land use change, climate forcing, and global atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentrations, affecting ecosystem productivity, erosion rates, and residence times of sediment and C in deposition sites. The main features of CE-DYNAM are (1) the spatially explicit simulation of sediment and C fluxes linking hillslopes and floodplains, (2) the relatively low number of parameters that allow for running the model at large spatial scales and over long timescales, and (3) its compatibility with global land surface models, thereby providing opportunities to study the effect of soil erosion under global changes.</p> <p>We present the model structure, concepts, limitations, and evaluation at the scale of the Rhine catchment for the period 1850–2005&thinsp;CE (Common Era). Model results are validated against independent estimates of gross and net soil and C erosion rates and the spatial variability of SOC stocks from high-resolution modeling studies and observational datasets. We show that despite local differences, the resulting soil and C erosion rates, as well as SOC stocks from CE-DYNAM, are comparable to high-resolution estimates and observations at subbasin level.</p> <p>We find that soil erosion mobilized around <span class="inline-formula">66±28</span>&thinsp;Tg (10<span class="inline-formula"><sup>12</sup></span>&thinsp;g) of C under changing climate and land use over the non-Alpine region of the Rhine catchment over the entire period, assuming that the erosion loop of the C cycle was nearly steady state by 1850. This caused a net C sink equal to 2.1&thinsp;%–2.7&thinsp;% of the net primary productivity of the non-Alpine region over 1850–2005&thinsp;CE. This sink is a result of the dynamic replacement of C on eroding sites that increases in this period due to rising atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentrations enhancing the litter C input to the soil from primary production.</p>
ISSN:1991-959X
1991-9603