Geoprocessing Applied to the Assessment of Carbon Storage and Sequestration in a Brazilian Medium-Sized City

Norton Barros Felix, Priscila Celebrini de Oliveira Campos, Igor Paz and Maria Esther Soares Marques
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Norton Barros Felix: Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Priscila Celebrini de Oliveira Campos: Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Igor Paz: Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, Brazil
Maria Esther Soares Marques: Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, Brazil

Sustainability, 2022, vol. 14, issue 14, 1-16

Abstract: The emission of greenhouse gases (GHG) is a cause for concern when seeking sustainable development in view of global warming. The multiple ecosystem services associated with land use and land cover are at the center of the global climate agenda, both as a mitigation and adaptation strategy to climate change and growing urbanization. Among these services is carbon storage and sequestration (CSS). It can remove GHG carbon from the atmosphere and store it in the form of organic matter, a natural carbon stock. Thus, to design projects that guarantee sustainable development, it is necessary to use metrics that can quantify the impact of sequestration on natural carbon stocks. We aimed to implement the InVEST CSS methodology in the region of Itaperuna-RJ (Brazil) to quantify the net change in carbon storage over time (sequestration and loss) between 2015 and 2020. The obtained total difference in carbon stocks between the analyzed maps was −39,103.56 × 10 3 kg C, which has an equivalent social cost of carbon of USD 16,559,187.69. This social value represents the social damage caused by releasing that amount of carbon into the atmosphere. This main result brings an important application for validating the InVEST CSS methodology in Brazil. Furthermore, it points out parameters that can help elaborate sustainable development policies.

Keywords: land use and land cover change; GIS; remote sensing; ecosystem service; carbon storage (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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