Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database

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...

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Main Authors: Cunha Carlos, Castanheira Nádia Luísa, Ramos Tiago Brito, Martinho Vítor João Pereira Domingues, Ferreira António José Dinis, Pereira José Luís da Silva, Sánchez-Carreira María del Carmen
Format: Article
Language:English
Published: De Gruyter 2025-05-01
Series:Open Agriculture
Subjects:
Online Access:https://doi.org/10.1515/opag-2025-0433
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author Cunha Carlos
Castanheira Nádia Luísa
Ramos Tiago Brito
Martinho Vítor João Pereira Domingues
Ferreira António José Dinis
Pereira José Luís da Silva
Sánchez-Carreira María del Carmen
author_facet Cunha Carlos
Castanheira Nádia Luísa
Ramos Tiago Brito
Martinho Vítor João Pereira Domingues
Ferreira António José Dinis
Pereira José Luís da Silva
Sánchez-Carreira María del Carmen
author_sort Cunha Carlos
collection DOAJ
description 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.
format Article
id doaj-art-288c5f281be14b9fb7a05d084f2f77e3
institution DOAJ
issn 2391-9531
language English
publishDate 2025-05-01
publisher De Gruyter
record_format Article
series Open Agriculture
spelling doaj-art-288c5f281be14b9fb7a05d084f2f77e32025-08-20T03:11:07ZengDe GruyterOpen Agriculture2391-95312025-05-0110111610.1515/opag-2025-0433Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO databaseCunha Carlos0Castanheira Nádia Luísa1Ramos Tiago Brito2Martinho Vítor João Pereira Domingues3Ferreira António José Dinis4Pereira José Luís da Silva5Sánchez-Carreira María del Carmen6School of Technology and Management, Polytechnic Institute of Viseu, Viseu, PortugalNational Institute of Agricultural and Veterinary Research, IP (INIAV), Oeiras, PortugalInstituto Superior Técnico, Universidade de Lisboa, Lisboa, PortugalSchool of Agriculture (ESAV) and CERNAS-IPV Research Centre, Polytechnic Institute of Viseu, Viseu, PortugalPolytechnic Institute of Coimbra, School of Agriculture (ESAC) and CERNAS Research Centre, Coimbra, PortugalSchool of Agriculture (ESAV) and CERNAS-IPV Research Centre, Polytechnic Institute of Viseu, Viseu, PortugalICEDE Research Group, Applied Economics Department, Faculty of Economics and Business Sciences, CRETUS, Universidade de Santiago de Compostela, Santiago de Compostela, SpainThe 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.https://doi.org/10.1515/opag-2025-0433land useland coversoil characteristicsmachine learningorganic carbon
spellingShingle Cunha Carlos
Castanheira Nádia Luísa
Ramos Tiago Brito
Martinho Vítor João Pereira Domingues
Ferreira António José Dinis
Pereira José Luís da Silva
Sánchez-Carreira María del Carmen
Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
Open Agriculture
land use
land cover
soil characteristics
machine learning
organic carbon
title Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
title_full Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
title_fullStr Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
title_full_unstemmed Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
title_short Suggestions for promoting SOC storage within the carbon farming framework: Analyzing the INFOSOLO database
title_sort suggestions for promoting soc storage within the carbon farming framework analyzing the infosolo database
topic land use
land cover
soil characteristics
machine learning
organic carbon
url https://doi.org/10.1515/opag-2025-0433
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