Modelling the spatiotemporal dynamics of cropland soil organic carbon by integrating process-based models differing in structures with machine learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Stratigraphy,Earth-Surface Processes
Link
https://link.springer.com/content/pdf/10.1007/s11368-023-03516-9.pdf
Reference48 articles.
1. Adhikari K, Mishra U, Owens PR, Libohova Z, Wills SA, Riley WJ, Hoffman FM, Smith DR (2020) Importance and strength of environmental controllers of soil organic carbon changes with scale. Geoderma 375:114472. https://doi.org/10.1016/j.geoderma.2020.114472
2. Adhikari K, Owens PR, Libohova Z, Miller DM, Wills SA, Nemecek J (2019) Assessing soil organic carbon stock of Wisconsin, USA and its fate under future land use and climate change. Sci Total Environ 667:833–845. https://doi.org/10.1016/j.scitotenv.2019.02.420
3. Chen SC, Arrouays D, Angers DA, Chenu C, Barre P, Martin MP, Saby NPA, Walter C (2019) National estimation of soil organic carbon storage potential for arable soils: a data-driven approach coupled with carbon-landscape zones. Sci Total Environ 666:355–367. https://doi.org/10.1016/j.scitotenv.2019.02.249
4. Choudhury SG, Sivastava S, Singh R, Chaudhari SK, Sharma DK, Singh SK, Sarkar D (2014) Tillage and residue management effects on soil aggregation, organic carbon dynamics and yield attribute in rice-wheat cropping system under reclaimed sodic soil. Soil Tillage Res 136:76–83. https://doi.org/10.1016/j.still.2013.10.001
5. Dechow R, Franko U, Kätterer T, Kolbe H (2019) Evaluation of the RothC model as a prognostic tool for the prediction of SOC trend in response to management practices on arable land. Geoderma 337:463–478. https://doi.org/10.1016/j.geoderma.2018.10.001
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