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Advisor(s)
Abstract(s)
The new world challenges under climate change call for eco-friendly practices that make agriculture’s economic and social dimensions compatible with environmental preservation and ecosystem resilience. Carbon farming has emerged as an interesting alternative for dealing with these new frameworks, as it promotes conservation agriculture with practices that increase carbon sequestration in soils and plants. Considering these motivations, this research intends to bring more insights into the levels of soil organic carbon (SOC) in the Portuguese context, and this variable is interrelated with land use, land attributes, and soil characteristics. Statistical information from the INFOSOLO legacy database was analyzed through statistical methodologies and machine-learning approaches. The findings provide interesting support for the stakeholders about the influence of land use and soil types on the levels of SOC.
Description
Keywords
land use land cover soil characteristics machine learning organic carbon
Pedagogical Context
Citation
Cunha, Carlos, Castanheira, Nádia Luísa, Ramos, Tiago Brito, Martinho, Vítor João Pereira Domingues, Ferreira, António José Dinis, Pereira, José Luís da Silva and Sánchez-Carreira, María del Carmen. "Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database" Open Agriculture, vol. 10, no. 1, 2025, pp. 20250433. https://doi.org/10.1515/opag-2025-0433
Publisher
De Gruyter Brill