ESCOLA SUPERIOR DE TECNOLOGIA E GESTÃO DE VISEU
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Browsing ESCOLA SUPERIOR DE TECNOLOGIA E GESTÃO DE VISEU by Field of Science and Technology (FOS) "Ciências Agrárias"
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- Analysing the different interrelationships of soil organic carbon using machine learning approaches: Assessing the specific case of PortugalPublication . Pereira Domingues Martinho, Vítor João; Ramos, Tiago Brito; Castanheira, Nádia; Cunha, Carlos; Ferreira, António José Dinis; Pereira, José Luís da Silva; Sánchez-Carreira, Maria del CarmenGiven the importance of soil organic carbon (SOC) for sustainability, policymakers and researchers are particularly concerned with identifying the conditions that promote carbon storage in the soil. These assessments provide relevant support for the design of policy instruments aimed at increasing soil quality and its carbon sequestration capacity. The new technologies associated with the digital transition can bring relevant added value, namely through artificial intelligence methodologies, where machine learning approaches are important. In this context, this research aims to analyse the several interrelationships of SOC in the specific Portuguese context, with a focus on highlighting its main predictors and providing proposals for stakeholders (including policymakers). To achieve these objectives, statistics from the INFOSOLO database were considered and evaluated using machine learning algorithms to select the most important SOC predictors and identify accurate models. These interrelationships were quantified with cross sectional regressions and optimisation models. The results obtained provide relevant information for the design of adjusted policy measures that promote sustainable practices and increase soil quality. Generally, Portuguese soils have low organic carbon content due to soil features, climate circumstances and land management. Adjusted management of agroforestry activities is possibly the easiest part to deal with in this context.
- Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO databasePublication . Cunha, Carlos; Castanheira, Nádia Luísa; Ramos, Tiago Brito; Martinho, Vítor João Pereira Domingues; Ferreira, António José Dinis; Pereira, José Luís da Silva; Sánchez-Carreira, Maria del CarmenThe 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.