Geoderma · 2023 · 81 citations · 53 references
AgricultureEarth SciencesSoil SciencesSoil Carbon DynamicsSoil Organic MatterSoil ScienceSoil MappingSoil Organic Matter ChemistryClimate Change ScenariosEnvironmental FactorsSoil Carbon ModelingSoil Carbon StocksSoil Organic CarbonSoil Organic Carbon DynamicsSoil Organic Carbon MappingSoil Organic Matter Variability
Revealing historical changes in soil organic carbon (SOC) and exploring its future status are important for safeguarding soil health and food security, giving full play to the service function of soil ecosystems, and coping with climate change. However, there is still a gap in our understanding of the SOC stocks in China and their spatial patterns in response to future climate change. Therefore, we attempted to fill this knowledge gap using a large amount of soil observation data, digital soil mapping technology, and global circulation models from Coupled Model Inter-comparison Project phase 6 (CMIP6). In this study, a random forest model was selected to construct the spatial relationship between SOC in the top 0–20 cm (SOC020) and 0–100 cm (SOC0100) of the soil and 21 environmental factors. Spatiotemporal changes in SOC from 1980 to 2100 were revealed at a resolution of 1 km and five-year interval for three climate scenarios in CMIP6. The cross-validation results indicated acceptable predictions for both depths of SOC; however, relatively large prediction uncertainties were observed for SOC0100 in the Tibetan Plateau and northeastern China. The mean values of SOC020 and SOC0100 over the last four decades were 35.77 and 84.62 Tg, respectively, and showed carbon sinks at the national scale, with accumulation rates of 0.05 Pg yr-1 and 0.036 Pg y-1 for the two depths. Compared with historical values (1980–2020), SOC will fluctuate significantly in the future under different climate scenarios. Among them, SOC showed a slow increasing trend at both depths under the SSP1-1.9 low emission scenario, while SOC presented a decreasing trend under the SSP2-4.5 and SSP5-8.5 medium–high emission scenarios. In particular, in most of China under the SSP2-4.5 scenario, SOC0100 presented a larger likelihood of being a carbon source. This study provides a reference for exploring the response of soil carbon pools to climate change and evaluating the effectiveness of land management and ecological protection.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
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Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text
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Michael W. Schmidt, Margaret Torn, Samuel Abiven et al. · Nature · 2011 · 6K citations · Full text