Global Soil Organic Carbon Removal by Water Erosion Under Climate Change and Land Use Change During AD 1850–2005

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Global Soil Organic Carbon Removal by Water Erosion Under Climate Change and Land Use Change During AD 1850–2005 Biogeosciences, 15, 4459–4480, 2018 https://doi.org/10.5194/bg-15-4459-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. Global soil organic carbon removal by water erosion under climate change and land use change during AD 1850–2005 Victoria Naipal1, Philippe Ciais1, Yilong Wang1, Ronny Lauerwald2,3, Bertrand Guenet1, and Kristof Van Oost4 1Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ, Gif-sur-Yvette 91191, France 2Department of Geoscience, Environment and Society, Université Libre de Bruxelles, Brussels, Belgium 3Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK 4Université catholique de Louvain, TECLIM – Georges Lemaître Centre for Earth and Climate Research, Louvain-la-Neuve, Belgium Correspondence: Victoria Naipal ([email protected]) Received: 8 December 2017 – Discussion started: 23 January 2018 Revised: 29 June 2018 – Accepted: 9 July 2018 – Published: 20 July 2018 Abstract. Erosion is an Earth system process that transports mospheric CO2 and LUC. This additional erosional loss de- carbon laterally across the land surface and is currently ac- creases the cumulative global carbon sink on land by 2 Pg of celerated by anthropogenic activities. Anthropogenic land carbon for this specific period, with the largest effects found cover change has accelerated soil erosion rates by rainfall and for the tropics, where deforestation and agricultural expan- runoff substantially, mobilizing vast quantities of soil organic sion increased soil erosion rates significantly. We conclude carbon (SOC) globally. At timescales of decennia to mil- that the potential effect of soil erosion on the global SOC lennia this mobilized SOC can significantly alter previously stock is comparable to the effects of climate or LUC. It is estimated carbon emissions from land use change (LUC). thus necessary to include soil erosion in assessments of LUC However, a full understanding of the impact of erosion on and evaluations of the terrestrial carbon cycle. land–atmosphere carbon exchange is still missing. The aim of this study is to better constrain the terrestrial carbon fluxes by developing methods compatible with land surface mod- els (LSMs) in order to explicitly represent the links between 1 Introduction soil erosion by rainfall and runoff and carbon dynamics. For this we use an emulator that represents the carbon cycle of a Carbon emissions from land use change (LUC), recently esti- − LSM, in combination with the Revised Universal Soil Loss mated as 1:0±0:5 Pg C yr 1, form the second largest anthro- Equation (RUSLE) model. We applied this modeling frame- pogenic source of atmospheric CO2 (Le Quéré et al., 2016). work at the global scale to evaluate the effects of potential However, their uncertainty range is large, making it difficult soil erosion (soil removal only) in the presence of other per- to constrain the net land–atmosphere carbon fluxes and re- turbations of the carbon cycle: elevated atmospheric CO2, duce the biases in the global carbon budget (Goll et al., 2017; climate variability, and LUC. We find that over the period Houghton and Nassikas, 2017; Le Quéré et al., 2016). The AD 1850–2005 acceleration of soil erosion leads to a total absence of soil erosion in assessments of LUC is an impor- potential SOC removal flux of 74 ± 18 Pg C, of which 79 %– tant part of this uncertainty, as soil erosion is strongly con- 85 % occurs on agricultural land and grassland. Using our nected to LUC (Van Oost et al., 2012; Wang et al., 2017). best estimates for soil erosion we find that including soil ero- The expansion of agriculture has accelerated soil ero- sion in the SOC-dynamics scheme results in an increase of sion by rainfall and runoff significantly, mobilizing around 62 % of the cumulative loss of SOC over 1850–2005 due 783 ± 243 Pg of soil organic carbon (SOC) globally over the to the combined effects of climate variability, increasing at- past 8000 years (Wang et al., 2017). Most of the mobilized SOC is redeposited in alluvial and colluvial soils, where it Published by Copernicus Publications on behalf of the European Geosciences Union. 4460 V. Naipal et al.: Global soil organic carbon removal by water erosion is stabilized and buried for decades to millennia (Hoffmann carbon dynamics models at different spatial and temporal et al., 2013a, b; Wang et al., 2017). Together with dynamic scales. Some studies coupled process-oriented soil erosion replacement of removed SOC by new litter input at the erod- models with carbon turnover models calibrated for specific ing sites, and the progressive exposure of carbon-poor deep micro-catchments on timescales of a few decades to a mil- soils, this translocated and buried SOC can lead to a net car- lennium, (Billings et al., 2010; Van Oost et al., 2012; Nadeu bon sink at the catchment scale, potentially offsetting a large et al., 2015; Wang et al., 2015a; Zhao et al., 2016; Bouchoms part of the carbon emissions from LUC (Berhe et al., 2007; et al., 2017). Other studies focused on the application of par- Bouchoms et al., 2017; Harden et al., 1999; Hoffmann et al., simonious erosion–SOC-dynamics models using the Revised 2013a; Lal, 2003; Stallard, 1998; Wang et al., 2017). Universal Soil Loss Equation (RUSLE) approach together On eroding sites, soil erosion keeps the SOC stocks below with sediment transport methods at regional or continental a steady state (Van Oost et al., 2012) and can lead to substan- spatial scales (Chappell et al., 2015; Lugato et al., 2016; Yue tial CO2 emissions in certain regions (Billings et al., 2010; et al., 2016; Zhang et al., 2014). However, the modeling ap- Worrall et al., 2016; Lal, 2003). CO2 emission from soil ero- proaches used in these studies apply erosion models that still sion can take place during the breakdown of soil aggregates require many variables and data input that is often not avail- by erosion and during the transport of the eroded SOC by able at the global scale or for the past or the future time pe- runoff and later also by streams and rivers. riod. These models also run on a much higher spatial reso- LUC emissions are usually quantified using bookkeeping lution than LSMs, making it difficult to integrate them with models and LSMs that represent the impacts of LUC activ- LSMs. The study of Ito (2007) was one of the first studies to ities on the terrestrial carbon cycle (Le Quéré et al., 2016). couple water erosion to the carbon cycle at the global scale, These impacts are represented through processes leading to using a simple modeling approach that combined the RUSLE a local imbalance between net primary productivity (NPP) model with a global ecosystem carbon cycle model. How- and heterotrophic respiration, ignoring lateral displacement. ever, there are several unaddressed uncertainties related to his Currently, LSMs consider only the carbon fluxes following modeling approach, such as the application of the RUSLE at LUC resulting from changes in vegetation, soil carbon, and the global scale without adjusting its parameters. sometimes wood products (Van Oost et al., 2012; Stocker et Despite all the differences between the studies that cou- al., 2014). The additional carbon fluxes associated with the pled soil erosion to the carbon cycle, they all agree that soil human action of LUC from the removal and lateral transport erosion by rainfall and runoff is an essential component of of SOC by erosion are largely ignored. the carbon cycle. Therefore, to better constrain the land– In addition, the absence of lateral SOC transport by ero- atmosphere and the land–ocean carbon fluxes, it is neces- sion in LSMs complicates the quantification of the human sary to develop new LSM-compatible methods that explic- perturbation of the carbon flux from land to inland waters itly represent the links between soil erosion and carbon dy- (Regnier et al., 2013). Recent studies have been investigat- namics at regional to global scales and over long timescales. ing the dissolved organic carbon (DOC) transfers along the Based on this, our study introduces a 4-D modeling ap- terrestrial–aquatic continuum in order to better quantify CO2 proach that consists of (1) an emulator that simulates the car- evasion from inland waters and to constrain the lateral car- bon dynamics like in the ORCHIDEE LSM (Krinner et al., bon flux from the land to the ocean (Lauerwald et al., 2017; 2005), (2) the Adjusted Revised Universal Soil Loss Equa- Regnier et al., 2013). They point out that an explicit repre- tion (Adj.RUSLE) model that has been adjusted to simulate sentation of soil erosion and transport of particulate organic global soil removal rates based on coarse-resolution data in- carbon (POC) – in addition to DOC leaching and transport put from climate models (Naipal et al., 2015), and (3) a spa- – in future LSMs is essential to be able to better constrain tially explicit representation for LUC. This approach repre- the flux from land to ocean. This is true, since the transfer of sents explicitly and consistently the links between the pertur- POC from eroded SOC forms an important part of the carbon bation of the terrestrial carbon cycle by elevated atmospheric inputs to rivers. CO2 and variability (temperature and precipitation change), The slow pace of carbon sequestration by soil erosion and the perturbation of the carbon cycle by LUC, and the effect deposition (Van Oost et al., 2012; Wang et al., 2017) and of soil erosion at the global scale. the slowly decomposing SOC pools require the simulation The main goal of our study is to use this new modeling of soil erosion at timescales longer than a few decades to approach to determine the potential effects of long-term soil fully quantify its impacts on the SOC dynamics.
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