Quantification of greenhouse gas emissions from the 2024 wildfire in Cocó State Park using remote sensing
DOI:
https://doi.org/10.62059/LatArXiv.preprints.658Keywords:
Blue carbon, Severity, Climate changeAbstract
Urban mangroves constitute strategic Blue Carbon ecosystems, playing a relevant role in climate change mitigation. However, when disturbed by wildfires, these environments can rapidly shift from carbon sinks to sources of greenhouse gas (GHG) emissions. This study aimed to estimate GHG emissions associated with the 2024 fire event in Cocó State Park (PEC), Fortaleza, Brazil. The methodology integrated high-resolution remote sensing data (PlanetScope, 3 m) to delineate the burned area and stratify fire severity, combined with the equations proposed by the IPCC guidelines. Emissions of CO₂, CH₄, N₂O, CO, and NOx were calculated based on burned area, biomass load, combustion factors, and emission factors specific to mangrove forests and other vegetation types. The results indicate that the fire resulted in a total release of 507.5 t of CO₂, with the “Other Vegetation” class accounting for approximately 60% of total emissions due to the high combustion efficiency of dry biomass. In contrast, mangrove areas exhibited a higher relative contribution of methane (CH₄), associated with incomplete combustion processes. Moderate fire severity accounted for approximately 87% of total emissions, highlighting that the spatial extent of burned areas was the primary driver of climatic impact. It is concluded that the integration of high-resolution remote sensing and ecosystem-specific biophysical parameters is essential for accurate GHG inventories in urban coastal ecosystems, providing robust technical support for preventive fire management and the protection of Blue Carbon stocks.
References
Adame, M. F., Connolly, R. M., Turschwell, M. P., Lovelock, C. E., Fatoyinbo, T., Lagomasino, D., Goldberg, L. A., Holdorf, J., Friess, D. A., Sasmito, S. D., Sanderman, J., Sievers, M., Buelow, C., Kauffman, J. B., Bryan-Brown, D., & Brown, C. J. (2021). Future carbon emissions from global mangrove forest loss. Global Change Biology, 27(12), 2856–2866. https://doi.org/10.1111/gcb.15571
Beloto, N. (2025). RELATÓRIO FINAL PROJETO Levantamento da estimativa de carbono perdido com o incêndio Julho/2024–Junho/2025. https://www.sema.ce.gov.br/wp-content/uploads/sites/36/2025/10/Anexo-V.pdf
Chuvieco, E. (2008). Earth Observation of Global Change: The Role of Satellite Remote Sensing in Monitoring the Global Environment. In Earth Observation of Global Change. Springer Netherlands. https://doi.org/10.1007/978-1-4020-6358-9_9
Do Carmo, M. (2020). Antigas Salinas Urbanas e sua Oportunidade para promover Cidades Verdes: O Caso do Parque Estadual do rio Cocó em Fortaleza, Ceará, Brasil. Cuadernos de Investigación Urbanística, 129, 89. https://doi.org/10.20868/ciur.2020.129.4407
Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. https://doi.org/10.1038/ngeo1123
Dookie, S., Ansari, A. A., & Jaikishun, S. (2025). Forest-fire interactions, impacts, and implications: a focus on mangroves. New Zealand Journal of Forestry Science, 55(4), 1–21. https://doi.org/10.33494/nzjfs552025x405x
Ferreira Filho, J. E., & Costa Araújo, A. (2021). Análise de ocorrências de incêndios florestais na área do Parque Estadual do Cocó , região metropolitana de Fortaleza , CE. Revista Brasileira de Meteorologia, 36(3), 563–569.
Ferreira Lima Júnior, A., Ribeiro, I., & Humberto Amorim, J. (2024). PARQUES URBANOS E ILHAS DE FRESCOR: A importância do Parque do Cocó para o conforto térmico na cidade de Fortaleza/CE. Geo UERJ, 45, 1–26. https://doi.org/10.12957/geouerj.2024.80373
Freires, E. V., Gomes, D. D. M., Sabadia, J. A. B., Duarte, C. R., & Souto, M. V. S. (2014). Análise da evolução urbana no entorno do estuário do Rio Cocó – Fortaleza / Ceará nos anos de 1985, 1996 e 2007. Geografia Ensino & Pesquisa, 17(3), 153–174. https://doi.org/10.5902/223649948141
Freitas, S. R., Longo, K. M., Diasb, M., Diasb, P. L. S., Chatfield, R., Prins, E., Artaxo, P., Grell, G. A., & Recuero, F. S. (2005). Monitoring the transport of biomass burning emissions in South America. ENVIRONMENTAL FLUID MECHANICS, 5(1–2), 135–167. https://doi.org/10.1007/s10652-005-0243-7WE-ScienceCitationIndexExpanded(SCI-EXPANDED)
Hamilton, S. E., & Friess, D. A. (2018). Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012. Nature Climate Change, 8(3), 240–244. https://doi.org/10.1038/s41558-018-0090-4
Hoffmann, T. B., Dutra, A. C., Shimabukuro, Y. E., Arai, E., Godinho Cassol, H. L., Di Girolamo Neto, C., & Duarte, V. (2020). Fire Occurrence in the Brazilian Savanna Conservation Units and their Buffer Zones. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 4263–4266. https://doi.org/10.1109/IGARSS39084.2020.9324164
IPCC. (2007). Climate Change 2007 - The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the IPCC. Cambridge University Press.
IPCC. (2019). Generic methodologies applicable to multiple land-use categories. In E. Calvo Buendia, K. Tanabe, A. Kranjc, J. Baasansuren, M. Fukuda, S. Ngarize, A. Osako, Y. Pyrozhenko, P. Shermanau, & S. Federici (Eds.), 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories (pp. 1–96). Intergovernmental Panel on Climate Change (IPCC). https://www.ipcc-nggip.iges.or.jp/public/2019rf/pdf/4_Volume4/19R_V4_Ch02_GenericMethods.pdf
Key, C. H., & Benson, N. C. (2006). Landscape Assessment (LA) sampling and analysis methods. In USDA Forest Service - General Technical Report RMRS-GTR. https://www.fs.usda.gov/research/treesearch/24066
Macreadie, P. I., Anton, A., Raven, J. A., Beaumont, N., Connolly, R. M., Friess, D. A., Kelleway, J. J., Kennedy, H., Kuwae, T., Lavery, P. S., Lovelock, C. E., Smale, D. A., Apostolaki, E. T., Atwood, T. B., Baldock, J., Bianchi, T. S., Chmura, G. L., Eyre, B. D., Fourqurean, J. W., … Duarte, C. M. (2019). The future of Blue Carbon science. Nature Communications, 10(1), 1–13. https://doi.org/10.1038/s41467-019-11693-w
McLeod, E., Chmura, G. L., Bouillon, S., Salm, R., Björk, M., Duarte, C. M., Lovelock, C. E., Schlesinger, W. H., & Silliman, B. R. (2011). A blueprint for blue carbon: Toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Frontiers in Ecology and the Environment, 9(10), 552–560. https://doi.org/10.1890/110004
Moro, M. F. (2025). Fitossociologia do manguezal no trecho atingido por um incêndio no Parque Estadual do Cocó. https://www.sema.ce.gov.br/wp-content/uploads/sites/36/2025/10/Anexo-VII.pdf
Pasquini, B. (2020). Plano de manejo do Parque Estadual do Cocó (p. 625). https://www.sema.ce.gov.br/wp-content/uploads/sites/36/2021/03/PMPC_01.pdf
Perea-Ardila, M. A., & Muñoz, S. I. (2024). Caracterização de uma nova queimada utilizando sensoriamento remoto do Parque Estadual do Cocó , Região Metropolitana de Fortaleza/CE, Brasil. Journal of Hyperspectral Remote Sensing, 14(1), 858–869. https://doi.org/10.29150/jhrs.v14i1.261692
Pivello, V. R., Vieira, I., Christianini, A. V., Ribeiro, D. B., da Silva Menezes, L., Berlinck, C. N., Melo, F. P. L., Marengo, J. A., Tornquist, C. G., Tomas, W. M., & Overbeck, G. E. (2021). Understanding Brazil’s catastrophic fires: Causes, consequences and policy needed to prevent future tragedies. Perspectives in Ecology and Conservation, 19(3), 233–255. https://doi.org/10.1016/j.pecon.2021.06.005
Ramos, R. M., Fonseca, R. L., & Morello, T. F. (2016). Unidades de Conservação e Proteção contra Incêndios Florestais: Relação entre Focos de Calor e Ações Articuladas pelas Brigadas Contratadas. Biodiversidade Brasileira, 6(2), 135–148.
Santoro, M., & Cartus, O. (2021). ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3. NERC EDS Centre for Environmental Data Analysis. http://dx.doi.org/10.5285/5f331c418e9f4935b8eb1b836f8a91b8
Saoum, M. R., & Sarkar, S. K. (2024). Monitoring mangrove forest change and its impacts on the environment. Ecological Indicators, 159, 1–23. https://doi.org/10.1016/j.ecolind.2024.111666
Silva, A. B. N. da, & Beltrão, N. E. S. (2021). Metodologias de sensoriamento remoto para análise de queimadas com base em índices espectrais e diagnóstico de severidade. Ciência Geográfica, 25(3), 968–982. https://www.agbbauru.org.br/publicacoes/revista/anoXXV_3/agb_xxv_3_web/agb_xxv_3-10.pdf
Soares, M. O., Bezerra, L. E. A., Copertino, M., Lopes, B. D., Barros, K. V. de S., Rocha-Barreira, C. A., Maia, R. C., Beloto, N., & Cotovicz, L. C. (2022). Blue Carbon Ecosystems in Brazil: Overview and an Urgent Call for Conservation and Restoration. Frontiers in Marine Science, 9, 1–16. https://doi.org/10.3389/fmars.2022.797411
Sobreira, E., Lázaro, W. L., Vitorino, B. D., Frota, A. V. B., Young, C. E. F., Campos, D. V. de S., Viana, C. R. S., Oliveira, E. de, López-Ramirez, L., Souza, A. R., Silva, D. J. da, Ignotti, E., Hacon, S., Ignácio, Á. R. A., Muniz, C. C., & Filho, M. dos, J. A. (2025). Wildfires and their toll on Brazil : Who’s counting the cost? Perspectives in Ecology and Conservation, 23, 214–217. https://doi.org/10.1016/j.pecon.2025.06.003
Torres, F. T. P., Lima, G. S., Costa, A. das G., Félix, G. de A., & da Silva Júnior, M. R. (2017). Perfil dos incêndios florestais em unidades de conservação brasileiras no período de 2008 a 2012. Floresta, 46(4), 531–541. https://doi.org/10.5380/rf.v46i3.44199
Urbanski, S. (2014). Forest Ecology and Management Wildland fire emissions , carbon , and climate : Emission factors. Forest Ecology and Management, 317, 51–60. https://doi.org/10.1016/j.foreco.2013.05.045
Wooster, M. J., Roberts, G. J., Giglio, L., Roy, D., Freeborn, P., Boschetti, L., Justice, C., Ichoku, C., Schroeder, W., Davies, D., Smith, A., Setzer, A., Csiszar, I., Strydom, T., Frost, P., Zhang, T., Xu, W., de Jong, M., Johnston, J., … San-Miguel, J. (2021). Satellite remote sensing of active fires: History and current status, applications and future requirements. Remote Sensing of Environment, 267, 1–20. https://doi.org/10.1016/j.rse.2021.112694
Downloads
Downloads
Posted
Categories
License
Copyright (c) 2026 Mauricio Alejandro Perea Ardila (Autor/a)

This work is licensed under a Creative Commons Attribution 4.0 International License.
This preprint contains the reported license and associated copyright. Once published in an associated journal or other publisher, the published version assumes the publisher's terms and conditions.