Enhancing Carbon Sequestration: A Systematic Literature Review of Spatial Decision Support Tools

Ekaterina Tarasova (), Riccardo Valentini, Giulio Di Lallo, Alexander Cotrina-Sanchez and Maria Vincenza Chiriacò
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Ekaterina Tarasova: Department for Innovation in Biological, Agri-Food and Forestry Systems, Università degli Studi della Tuscia, 01100 Viterbo, Italy
Riccardo Valentini: Department for Innovation in Biological, Agri-Food and Forestry Systems, Università degli Studi della Tuscia, 01100 Viterbo, Italy
Giulio Di Lallo: Foundation Euro-Mediterranean Center on Climate Change (CMCC), 01100 Viterbo, Italy
Alexander Cotrina-Sanchez: Department for Innovation in Biological, Agri-Food and Forestry Systems, Università degli Studi della Tuscia, 01100 Viterbo, Italy
Maria Vincenza Chiriacò: Foundation Euro-Mediterranean Center on Climate Change (CMCC), 01100 Viterbo, Italy

Sustainability, 2024, vol. 16, issue 12, 1-24

Abstract: Human activities impact greenhouse gas emissions through changes in land cover, land use, and land management. Conservation, restoration, and improved land use and land management are increasingly recognized as mitigation solutions. Policy instruments are crucial for addressing environmental challenges and supporting governance actors in enhancing carbon sequestration and reducing emissions in the land sector. The aim of this study was to evaluate the existing spatial decision support systems (SDSSs) for assessing land-based mitigation options and to help policymakers choose the best way to use and manage land. In order to search for tools, a systematic literature review was conducted, where 187 articles suitable for the specified criteria were found, from which 68 tools were selected. Additionally, following the application of the exclusion criteria, 18 tools were chosen for the final analysis. The tools were classified and analyzed based on various features such as type of land-use management, land use, country of application, information on carbon pools, and the number of published articles associated with each tool. Five SDSSs were found to be most suitable for policymakers seeking to implement the most effective land use and land management in order to enhance carbon sequestration.

Keywords: spatial DSS; decision support tools; climate mitigation; carbon sequestration; agriculture; forestry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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