7 citations as recorded by crossref.

1. Light grazing reduces temporal variation in soil organic carbon in an alpine peatland: Perspectives from fungal communities Y. Li et al. https://doi.org/10.1016/j.agee.2025.109848
2. Using explainable AI to diagnose the representation of environmental drivers in process-based soil organic carbon models L. Wang et al. https://doi.org/10.5194/bg-22-7845-2025
3. Quantifying erosion-induced carbon emissions from SOC decomposition across sediment pathways in the yellow river basin J. Guo et al. https://doi.org/10.1186/s13021-025-00380-7
4. Mining global soil carbon datasets: can modern machine learning uncover the missing pieces of process-based models? S. Hashimoto et al. https://doi.org/10.1088/1748-9326/adfe83
5. Effects of land use type on soil organic carbon in different soil types S. Zhu et al. https://doi.org/10.1016/j.jia.2025.09.030
6. Machine learning based reduced-order models to predict spatiotemporal dynamics of soil carbon and biomass yield of different bioenergy crops S. Gautam et al. https://doi.org/10.1016/j.ccst.2025.100440
7. Cropping systems and environment shape SOC-SIC dynamics in global agroecosystems: A meta-analysis of carbon trade-offs Y. He et al. https://doi.org/10.1016/j.agee.2025.110089