Zani, Caio F.Abdalla, MohamedAbbott, Geoffrey D.Taylor, James A.Galdos, Marcelo V.Cooper, Julia M.Lopez-Capel, Elisa2023-04-172023-04-172023-04-11Zani, C F, Abdalla, M, Abbott, G D, Taylor, J A, Galdos, M V, Cooper, J M & Lopez-Capel, E 2023, 'Predicting Long-Term Effects of Alternative Management Practices in Conventional and Organic Agricultural Systems on Soil Carbon Stocks Using the DayCent Model', Agronomy, vol. 13, no. 4, 1093. https://doi.org/10.3390/agronomy130410932073-4395RIS: urn:DDE3DB93F33A1B1115741AC236D7FBC9ORCID: /0000-0001-8403-327X/work/133393087https://hdl.handle.net/2164/20488Funding: This research was funded by Newcastle University, Faculty of Science. For the mathematical modelling training, this research received external funding from Enviresearch Ltd. Newcastle upon Tyne, United Kingdom. M.A. is funded by EU Horizon 2020 programme: SuperG project number 774124. Acknowledgments: The authors thank the University of Leeds, School of Earth and Environment, particularly Ishwar Pun, for their help on the modelling approaches. The authors also thank Matthias Kuhnert from the University of Aberdeen for his contribution to a few steps in the model set-up and initialisation241747207engSDG 2 - Zero HungerSDG 13 - Climate Actionalternative management practicesconventional agricultureorganic agricultureDayCent modelsoil C sequestrationsoil organic matterQH301 BiologyQH301Journal article10.3390/agronomy13041093134