Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | Cunha, Carlos |
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| Outros Autores: | Castanheira, Nádia Luísa; Ramos, Tiago Brito; Martinho, Vítor João Pereira Domingues; Ferreira, António José Dinis; Pereira, José Luís da Silva; Sánchez-Carreira, Maria del Carmen |
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| Assunto: | land use land cover soil characteristics machine learning organic carbon |
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| Ano: | 2025 |
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| País: | Portugal |
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| Tipo de documento: | texto |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Instituto Politécnico de Viseu |
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| Idioma: | inglês |
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| Origem: | Repositório Científico do Instituto Politécnico de Viseu |
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