Abstract
Erosion exerts control on soil organic carbon (SOC) and both erosion and SOC are affected by climate. To what extent temperature controls the coupling between these erosion–C interactions remains unclear. Using 137Cs and SOC inventories from catchments spanning different climates, we find that increasing decomposition rates with temperature result in the efficient replacement of SOC laterally lost by erosion in eroding areas but lower preservation of deposited SOC in depositional areas. When combined at the landscape level, the erosion-induced C sink strength per unit lateral SOC flux increases with temperature from 0.19 g C (g C)−1 at 0 °C to 0.24 g C (g C)−1 at 25 °C. We estimated that the global C sink of 0.050 Pg C yr−1 induced by water erosion on croplands increases by 7% because of climate change. Our results reveal a negative feedback loop between climate change and erosion-induced disturbance to SOC cycling.
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Data availability
The SOC stock of the top 1 m generated by the Harmonized World Soil Database is available at https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/. The SOC stock of the top 1 m generated by the Northern Circumpolar Soil Carbon Database is available at https://bolin.su.se/data/ncscd/tiff.php. The MODIS NPP dataset is available at http://files.ntsg.umt.edu/data/NTSG_Products/MOD17/GeoTIFF/MOD17A3/. The land use data generated by the History database of the Global Environment (HYDE) is available at https://dataportaal.pbl.nl/downloads/HYDE/. The mean annual temperature provided by the Climatic Research Unit is available at https://www.uea.ac.uk/web/groups-and-centres/climatic-research-unit/data. The mean annual precipitation provided by the Global Precipitation Climatology Centre is available at https://opendata.dwd.de/climate_environment/GPCC/html/fulldata-monthly_v2018_doi_download.html. The MODIS potential evapotranspiration (PET) data are available at http://files.ntsg.umt.edu/data/NTSG_Products/MOD16/MOD16A3.105_MERRAGMAO/. The mean annual temperature and mean annual precipitation as well as the surface soil moisture (0–10 cm) of historical simulations and future projections generated by global climate models of coupled model intercomparison project (CMIP6) are available at https://esgf-node.llnl.gov/projects/cmip6/. The basemap data used to create figures were downloaded at http://naturalearthdata.com/downloads/. The 137Cs inventory and SOC stock data are available from the corresponding author on request. Source data are provided with this paper.
Code availability
The codes of C–erosion coupling model programmed in MATLAB are available at https://doi.org/10.5281/zenodo.7224539 (ref. 59).
References
Lal, R. Soil carbon sequestration impacts on global climate change and food security. Science 304, 1623–1627 (2004).
Amundson, R. et al. Soil and human security in the 21st century. Science 348, 1261071 (2015).
Crowther, T. W. et al. Quantifying global soil carbon losses in response to warming. Nature 540, 104–108 (2016).
Nottingham, A. T., Meir, P., Velasquez, E. & Turner, B. L. Soil carbon loss by experimental warming in a tropical forest. Nature 584, 234–237 (2020).
Xue, K. et al. Tundra soil carbon is vulnerable to rapid microbial decomposition under climate warming. Nat. Clim. Change 6, 595–600 (2016).
Houghton, R. A. & Nassikas, A. A. Global and regional fluxes of carbon from land use and land cover change 1850–2015. Glob. Biogeochem. Cycles 31, 456–472 (2017).
Hicks Pries, C. E., Castanha, C., Porras, R. C. & Torn, M. S. The whole-soil carbon flux in response to warming. Science 355, 1420–1423 (2017).
Davidson, E. A. & Janssens, I. A. Temperature sensitivity of soil carbon decomposition and feedbacks to climate change. Nature 440, 165–173 (2006).
Mahecha, M. D. et al. Global convergence in the temperature sensitivity of respiration at ecosystem level. Science 329, 838–840 (2010).
Carvalhais, N. et al. Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature 514, 213–217 (2014).
Koven, C. D., Hugelius, G., Lawrence, D. M. & Wieder, W. R. Higher climatological temperature sensitivity of soil carbon in cold than warm climates. Nat. Clim. Change 7, 817–822 (2017).
Sistla, S. A. et al. Long-term warming restructures Arctic tundra without changing net soil carbon storage. Nature 497, 615–618 (2013).
Dorrepaal, E. et al. Carbon respiration from subsurface peat accelerated by climate warming in the subarctic. Nature 460, 616–619 (2009).
Karhu, K. et al. Temperature sensitivity of soil respiration rates enhanced by microbial community response. Nature 513, 81–84 (2014).
Knorr, W., Prentice, I. C., House, J. I. & Holland, E. A. Long-term sensitivity of soil carbon turnover to warming. Nature 433, 298–301 (2005).
Galy, V., Peucker-Ehrenbrink, B. & Eglinton, T. Global carbon export from the terrestrial biosphere controlled by erosion. Nature 521, 204–207 (2015).
Stallard, R. F. Terrestrial sedimentation and the carbon cycle: coupling weathering and erosion to carbon burial. Glob. Biogeochem. Cycles 12, 231–257 (1998).
Regnier, P. et al. Anthropogenic perturbation of the carbon fluxes from land to ocean. Nat. Geosci. 6, 597–607 (2013).
Montgomery, D. R. Soil erosion and agricultural sustainability. Proc. Natl Acad. Sci. USA 104, 13268–13272 (2007).
Cerdan, O. et al. Rates and spatial variations of soil erosion in Europe: a study based on erosion plot data. Geomorphology 122, 167–177 (2010).
Van Oost, K. et al. The impact of agricultural soil erosion on the global carbon cycle. Science 318, 626–629 (2007).
Chappell, A., Baldock, J. & Sanderman, J. The global significance of omitting soil erosion from soil organic carbon cycling schemes. Nat. Clim. Change 6, 187–191 (2016).
Raymond, P. A. et al. Global carbon dioxide emissions from inland waters. Nature 503, 355–359 (2013).
Lauerwald, R., Laruelle, G. G., Hartmann, J., Ciais, P. & Regnier, P. A. G. Spatial patterns in CO2 evasion from the global river network. Glob. Biogeochem. Cycles 29, 534–554 (2015).
Gudasz, C. et al. Temperature-controlled organic carbon mineralization in lake sediments. Nature 466, 478–481 (2010).
Marotta, H. et al. Greenhouse gas production in low-latitude lake sediments responds strongly to warming. Nat. Clim. Change 4, 467–470 (2014).
Rommens, T. et al. Soil erosion and sediment deposition in the Belgian loess belt during the Holocene: establishing a sediment budget for a small agricultural catchment. Holocene 15, 1032–1043 (2005).
Phillips, J. D. Fluvial sediment budgets in the North Carolina Piedmont. Geomorphology 4, 231–241 (1991).
Trimble, S. W. & Crosson, P. U.S. Soil erosion rates—myth and reality. Science 289, 248–250 (2000).
Harden, J. W. et al. Dynamic replacement and loss of soil carbon on eroding cropland. Glob. Biogeochem. Cycles 13, 885–901 (1999).
Billings, S. A., Buddemeier, R. W., Richter, D. D., Van Oost, K. & Bohling, G. A simple method for estimating the influence of eroding soil profiles on atmospheric CO2. Glob. Biogeochem. Cycles 24, GB2001 (2010).
Berhe, A. A., Harden, J. W., Torn, M. S. & Harte, J. Linking soil organic matter dynamics and erosion-induced terrestrial carbon sequestration at different landform positions. J. Geophys. Res. Biogeosci. 113, G04039 (2008).
Nadeu, E., Berhe, A. A., de Vente, J. & Boix-Fayos, C. Erosion, deposition and replacement of soil organic carbon in Mediterranean catchments: a geomorphological, isotopic and land use change approach. Biogeosciences 9, 1099–1111 (2012).
Wang, Z. et al. The fate of buried organic carbon in colluvial soils: a long-term perspective. Biogeosciences 11, 873–883 (2014).
Wang, Z., Van Oost, K. & Govers, G. Predicting the long-term fate of buried organic carbon in colluvial soils. Glob. Biogeochem. Cycles 29, 65–79 (2015).
VandenBygaart, A. J., Kroetsch, D., Gregorich, E. G. & Lobb, D. Soil C erosion and burial in cropland. Glob. Change Biol. 18, 1441–1452 (2012).
Burdige, D. J. Burial of terrestrial organic matter in marine sediments: a re-assessment. Glob. Biogeochem. Cycles 19, GB4011 (2005).
Sobek, S. et al. Organic carbon burial efficiency in lake sediments controlled by oxygen exposure time and sediment source. Limnol. Oceanogr. 54, 2243–2254 (2009).
Doetterl, S. et al. Erosion, deposition and soil carbon: a review of process-level controls, experimental tools and models to address C cycling in dynamic landscapes. Earth Sci. Rev. 154, 102–122 (2016).
Wang, Z. et al. Human-induced erosion has offset one-third of carbon emissions from land cover change. Nat. Clim. Change 7, 345–349 (2017).
Jobbágy, E. G. & Jackson, R. B. The vertical distribution of soil organic carbon and its relation to climate and vegetation. Ecol. Appl. 10, 423–436 (2000).
Meyer, N., Welp, G. & Amelung, W. The temperature sensitivity (Q10) of soil respiration: controlling factors and spatial prediction at regional scale based on environmental soil classes. Glob. Biogeochem. Cycles 32, 306–323 (2018).
Zhou, T., Shi, P., Hui, D. & Luo, Y. Global pattern of temperature sensitivity of soil heterotrophic respiration (Q10) and its implications for carbon–climate feedback. J. Geophys. Res. Biogeosci. 114, G02016 (2009).
Doetterl, S., Van Oost, K. & Six, J. Towards constraining the magnitude of global agricultural sediment and soil organic carbon fluxes. Earth Surf. Process. Landf. 37, 642–655 (2012).
Kosmas, C. et al. The effects of tillage displaced soil on soil properties and wheat biomass. Soil Tillage Res. 58, 31–44 (2001).
Dercon, G. et al. Spatial variability in crop response under contour hedgerow systems in the Andes region of Ecuador. Soil Tillage Res. 86, 15–26 (2006).
Lugato, E., Lavallee, J. M., Haddix, M. L., Panagos, P. & Cotrufo, M. F. Different climate sensitivity of particulate and mineral-associated soil organic matter. Nat. Geosci. 14, 95–300 (2021).
Borrelli, P. et al. Land use and climate change impacts on global soil erosion by water (2015–2070). Proc. Natl Acad. Sci. USA 117, 21994–22001 (2020).
Min, S.-K., Zhang, X., Zwiers, F. W. & Hegerl, G. C. Human contribution to more-intense precipitation extremes. Nature 470, 378–381 (2011).
Li, Z. & Fang, H. Impacts of climate change on water erosion: a review. Earth Sci. Rev. 163, 94–117 (2016).
Sutton, R. T. & Hawkins, E. ESD ideas: global climate response scenarios for IPCC assessments. Earth Syst. Dynam. 11, 751–754 (2020).
Walker, T. W. N. et al. Microbial temperature sensitivity and biomass change explain soil carbon loss with warming. Nat. Clim. Change 8, 885–889 (2018).
Berner, R. A., Lasaga, A. C. & Garrels, R. M. The carbonate–silicate geochemical cycle and its effect on atmospheric carbon dioxide over the past 100 million years. Am. J. Sci. 283, 641–683 (1983).
Gaillardet, J., Dupré, B., Louvat, P. & Allègre, C. J. Global silicate weathering and CO2 consumption rates deduced from the chemistry of large rivers. Chem. Geol. 159, 3–30 (1999).
Quine, T. A. & Van Oost, K. Quantifying carbon sequestration as a result of soil erosion and deposition: retrospective assessment using caesium-137 and carbon inventories. Glob. Change Biol. 13, 2610–2625 (2007).
Van Oost, K. et al. Legacy of human-induced C erosion and burial on soil–atmosphere C exchange. Proc. Natl Acad. Sci. USA 109, 19492–19497 (2012).
Van Oost, K. et al. Landscape-scale modeling of carbon cycling under the impact of soil redistribution: the role of tillage erosion. Glob. Biogeochem. Cycles 19, GB4014 (2005).
Gerwitz, A. & Page, E. R. An empirical mathematical model to describe plant root systems. J. Appl. Ecol. 11, 773–781 (1974).
Wang, Z. Erosion-C model. Zenodo https://doi.org/10.5281/zenodo.7224539 (2022).
Acknowledgements
Z.W., G.T. and J.Q. are funded by the Natural Science Foundation of China (grant no. 42171025 and 41971031). A.N. is funded by the MCIN/ AEI/10.13039/501100011033/ (grant no. PID2019-104857RB-I00 and PID2019-103946RJ-100).
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Z.W. and Y.Z. conceived the research, performed the analysis and co-wrote the paper. G.G., G.T., T.A.Q., J.Q., A.N., H.F., Q.T. and K.V.O. assisted in the interpretation of the results and commented on the manuscript.
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Nature Climate Change thanks Asmeret Berhe, Julian Campo, Amaury Frankl, Priyanka Singh and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Extended data
Extended Data Fig. 1 Locations of the cropland sites in this study.
The numbers in squares denote the identification of the catchment. Details of the study sites are provided in Supplementary Table 1.
Extended Data Fig. 2 Relationships between normalized SOC stocks and soil redistribution rates for the cropland sites.
Negative values of soil redistribution rates indicate erosion, while the positive values indicate deposition. The SOC stock of each soil profile is normalized by being divided by the SOC stock of the reference sites (as denoted with red asterisks) not subjected to erosion or deposition. The regression lines are set to pass through the reference value so that the sensitivity of normalized SOC stocks to the variation of soil distribution rates can be assessed by comparing the slopes of these linear regression lines. The number in parentheses denote the identification of the catchment, which is shown in Supplementary Table 1.
Extended Data Fig. 3 SOC cycling in eroding croplands in scenarios of various C input rates.
a, Variation of SOC stocks with soil redistribution rates. b, Variation of the normalized SOC stocks with soil redistribution rates. c, Variation of replace ratios of lost SOC due to erosion in the eroding area with soil redistribution rates and variation of burial efficiencies of deposited SOC in the depositional area with soil redistribution rates. d, Variation of the erosion-induced C sink per unit lateral C flux with C input rates. In a, b and c, the negative values of soil redistribution rates indicate erosion, while the positive values indicate deposition. In b, the SOC stock of each soil profile is normalized by being divided by the SOC stock of the reference sites not subjected to erosion or deposition. For a hillslope with a given soil redistribution pattern, variations in normalized SOC stocks, C replacement and burial efficiency and the C sink strength per unit of lateral SOC flux are independent of the C input rate.
Extended Data Fig. 4 SOC cycling in eroding croplands in scenarios of various C decomposition rates.
a, Variation of SOC stocks with soil redistribution rates. b, Variation of the normalized SOC stocks with soil redistribution rates. c, Variation of replace ratios of lost SOC due to erosion in the eroding area with soil redistribution rates and variation of burial efficiencies of deposited SOC in the depositional area with soil redistribution rates. d, Variation of the erosion-induced total C sink per unit lateral C flux with C decomposition rates. In a, b and c, the negative values of soil redistribution rate indicate erosion, while the positive values indicate deposition. In b, the SOC stock of each soil profile is normalized by being divided by the SOC stock of the reference sites not subjected to erosion or deposition.
Extended Data Fig. 5 SOC cycling in eroding croplands in scenarios of varying temperature.
a, Variation of SOC stocks with soil redistribution rates. b, Variation of the normalized SOC stocks with soil redistribution rates. c, Variation of replacement ratio of lost SOC due to erosion in the eroding area with soil redistribution rates and variation of burial efficiency of deposited SOC in the depositional area with soil redistribution rates. d, Variation of the erosion-induced C sink per unit lateral C flux with temperature. In a, b and c, the negative values of soil redistribution rate indicate erosion, while the positive values indicate deposition. In b, the SOC stock of each soil profile is normalized by being divided by the SOC stock of the reference sites not subjected to erosion or deposition.
Extended Data Fig. 6 Relationships between erosion and climatic factors in croplands derived from a global estimation of agricultural erosion21.
a, Soil erosion rate versus mean annual precipitation. b, Mean annual precipitation versus mean annual temperature. c, Soil erosion rate versus mean annual temperature. d, C erosion rate versus mean annual temperature.
Extended Data Fig. 7 The effects of soil moisture on the relationships between temperature and various SOC cycling metrics.
a, The relationship between soil moisture and the coefficient denoting the sensitivity of lateral SOC fluxes caused by erosion to the variation of mean annual temperature. Details of the regression between lateral SOC fluxes by erosion and temperature under various soil moisture conditions are displayed in Supplementary Fig. 3. b, The relationship between soil moisture and the coefficient denoting the sensitivity of SOC decomposition rates to the variation of mean annual temperature. Details of the regression between SOC decomposition rates and temperature under various soil moisture conditions are displayed in Supplementary Fig. 4. c, The relationship between soil moisture and the coefficient denoting the sensitivity of the C sink strength per unit lateral SOC flux to the variation of mean annual temperature. Details of the regression between the C sink strength per unit lateral SOC flux and temperature under various soil moisture conditions are displayed in Supplementary Fig. 5. d, The relationship between soil moisture and the coefficient denoting the sensitivity of the C sink strength per unit cropland area to the variation of mean annual temperature. Details of the regression between the C sink strength per unit cropland area and temperature under various soil moisture conditions are displayed in Supplementary Fig. 6.
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Wang, Z., Zhang, Y., Govers, G. et al. Temperature effect on erosion-induced disturbances to soil organic carbon cycling. Nat. Clim. Chang. 13, 174–181 (2023). https://doi.org/10.1038/s41558-022-01562-8
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DOI: https://doi.org/10.1038/s41558-022-01562-8
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