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Quantifying Soil Carbon Sequestration Potential Through Carbon Farming Practices with RothC Model Adapted to Lithuania

Author

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  • Gustė Metrikaitytė Gudelė

    (Department of Geodesy and Cadastre, Vilnius Gediminas Technical University, Sauletekio av. 11, LT-10223 Vilnius, Lithuania)

  • Jūratė Sužiedelytė Visockienė

    (Department of Geodesy and Cadastre, Vilnius Gediminas Technical University, Sauletekio av. 11, LT-10223 Vilnius, Lithuania)

Abstract

Climate change poses one of the greatest challenges of our time, with greenhouse gas (GHG) emissions significantly contributing to global warming. The agriculture, forestry, and land-use (AFOLU) sectors not only emit GHGs but also offer the potential for carbon sequestration, which can mitigate climate change. This study presents a methodological framework for estimating soil organic carbon (SOC) changes based on carbon farming practices in northern Lithuania. Using satellite-derived indicators of cover crops, no-till farming, and residue retention combined with soil and climate data, SOC dynamics were modeled across the Joniškis municipality for the period 2019–2020 using the Rothamsted Carbon Model (RothC) model. The integration of geospatial data and process-based modeling allowed for spatial estimation of SOC change, revealing positive trends ranging from 0.23 to 0.32 t C ha −1 year −1 . Higher increases were observed in areas where multiple carbon farming practices overlapped. The proposed workflow demonstrates the potential of combining Earth observation and modeling approaches for regional-scale carbon assessment and provides a basis for future applications in sustainable land management and climate policy support.

Suggested Citation

  • Gustė Metrikaitytė Gudelė & Jūratė Sužiedelytė Visockienė, 2025. "Quantifying Soil Carbon Sequestration Potential Through Carbon Farming Practices with RothC Model Adapted to Lithuania," Land, MDPI, vol. 14(7), pages 1-19, July.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:7:p:1497-:d:1705421
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    References listed on IDEAS

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    1. Guste Metrikaityte & Jurate Suziedelyte Visockiene & Kestutis Papsys, 2022. "Digital Mapping of Land Cover Changes Using the Fusion of SAR and MSI Satellite Data," Land, MDPI, vol. 11(7), pages 1-20, July.
    2. Jonas Volungevicius & Renaldas Žydelis & Kristina Amaleviciute-Volunge, 2024. "Advancements in Soil Organic Carbon Mapping and Interpolation Techniques: A Case Study from Lithuania’s Moraine Plains," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    3. Martin A. Bolinder & Felicity Crotty & Annemie Elsen & Magdalena Frac & Tamás Kismányoky & Jerzy Lipiec & Mia Tits & Zoltán Tóth & Thomas Kätterer, 2020. "The effect of crop residues, cover crops, manures and nitrogen fertilization on soil organic carbon changes in agroecosystems: a synthesis of reviews," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(6), pages 929-952, August.
    4. Ulysse Gaudaré & Matthias Kuhnert & Pete Smith & Manuel Martin & Pietro Barbieri & Sylvain Pellerin & Thomas Nesme, 2023. "Soil organic carbon stocks potentially at risk of decline with organic farming expansion," Nature Climate Change, Nature, vol. 13(7), pages 719-725, July.
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