MULTITEMPORAL BIOMASS ESTIMATION IN MANGROVES USING MULTISPECTRAL INDICES
Main Article Content
Abstract
Mangroves are tropical and subtropical coastal ecosystems characterized by the presence of trees adapted to life in saline environments. They are recognized for their great capacity to store biomass, capture, and store carbon, directly contributing to combating the effects of climate change. Given the importance of this topic, the general objective of this research was to evaluate, using orbital images, the biomass data of Brazilian mangroves in relation to anthropogenic action from 2016 to 2022. The study was conducted in the mangrove area of Todos os Santos Bay (BTS), located in the state of Bahia. BTS is notable for housing one of the most extensive and ecologically important mangrove areas in Brazil. The research results revealed a general trend of declining biomass per hectare until 2020, followed by significant recovery in the subsequent years, demonstrating the resilience of mangroves to climatic variations and anthropogenic pressure. The correlation analysis between biomass and climatic variables, such as precipitation and temperature, did not reveal significant linear correlations. Finally, the results reinforce the need for robust public policies and effective conservation actions to preserve mangroves, which play a vital role in mitigating climate change and maintaining coastal biodiversity.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Conjuncture Bulletin (BOCA)
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
ADAME, M. F. et al. “Future carbon emissions from global mangrove forest loss”. Global Change Biology, vol. 27, n. 12, 2021.
AKRAM, H. et al. “Mangrove Health: A Review of Functions, Threats, and Challenges Associated with Mangrove Management Practices”. Forests, vol. 14, n. 9, 2023.
ALONGI, D. M. “Carbon sequestration in mangrove forests”. Carbon Management, vol. 3, n. 3, 2014.
ALONGI, D. M. “Global Significance of Mangrove Blue Carbon in Climate Change Mitigation”. Sci, vol. 2, n. 3, 2020.
AMARO, V. E.; ROCHA JÚNIOR, J. M. “Avaliação ecológico-econômica do manguezal na foz do rio Açu/RN: o sequestro de carbono e a importância da aplicação de práticas preservacionistas”. Revista de Geologia, vol. 25, 2012.
ARAUJO, R. W. O.; SILVA, L. A. S.; CARDOSO, A. L. “Análise da saúde vegetal de manguezais com o uso de Índices de Vegetação através de técnicas Radiométricas Espectral Multibandas”. Scientific Electronic Archives, vol. 16, n. 10, 2023.
BALOLOY, A. B. et al. “Estimation of Mangrove Forest Aboveground Biomass Using Multispectral Bands, Vegetation Indices and Biophysical Variables Derived from Optical Satellite Imageries: Rapideye, Planetscope and Sentinel-2”. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 4, 2018.
CARVALHO, E. A.; JARDIM, M. A. G. “Composição e estrutura florística em bosques de manguezais paraenses, Brasil”. Ciência Florestal, vol. 27, n. 3, 2017.
FABRE, S. et al. “Unsupervised Monitoring Vegetation after the Closure of an Ore Processing Site with Multi-Temporal Optical Remote Sensing”. Sensors, vol. 20, n. 17, 2020.
FRAMPTON, W. J. et al. “Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation”. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 82, 2013.
FRIESS, D. A. “Ecosystem Services and Disservices of Mangrove Forests: Insights from Historical Colonial Observations”. Forests, vol. 7, n. 9, 2016.
HIMES-CORNELL, A.; GROSE, S. O.; PENDLETON, L. “Mangrove Ecosystem Service Values and Methodological Approaches to Valuation: Where Do We Stand?”. Frontiers in Marine Science, vol. 5, n. 376, 2018.
HUSSAIN, S. A.; BADOLA, R. “Valuing mangrove benefits: contribution of mangrove forests to local livelihoods in Bhitarkanika Conservation Area, East Coast of India”. Wetlands Ecology and Management, vol. 18, n. 3, 2010.
HUTCHISON, J. et al. “Predicting global patterns in mangrove forest biomass”. Conservation Letters, vol. 7, n. 3, 2014.
ICMBIO - Instituto Chico Mendes de Conservação da Biodiversidade. Atlas dos Manguezais do Brasil. Brasília: ICMBio, 2018. Disponível em: . Acesso em: 23/01/2025.
JAKOVAC, C. C. et al. “Costs and Carbon Benefits of Mangrove Conservation and Restoration: A Global Analysis”. Ecological Economics, vol. 176, 2020.
JESUS, T. B. et al. “Distribuição e biomassa de macroalgas associadas a troncos e raízes de manguezais na Baía de Todos os Santos, BA”. Revista Brasileira de Ciências Ambientais, n. 38, 2015.
JESUS, T. M. “Análise da produção científica e modelagem do estoque de biomassa dos manguezais da Baía de Todos os Santos” (Dissertação de Mestrado em Modelagem em Ciências da Terra e do Ambiente). Feira de Santana: UEFS, 2019.
KANG, M. et al. “Biomass and its allocation in relation to temperature, precipitation, and soil nutrients in Inner Mongolia grasslands, China”. PLoS ONE, vol. 8, n. 7, 2013.
KILCA, R. V. et al. “Estrutura dos manguezais em diferentes estágios sucessioniais no estuário do rio Piauí Sergipe-Brasil”. Instituto Anchietano de Pesquisas, n. 61, 2010.
KUMAR, L.; MUTANGA, O. “Remote Sensing of Above-Ground Biomass”. Remote Sensing, vol. 9, n. 9, 2017.
LAL, P. “Economic valuation of mangroves and decision-making in the Pacific.” Ocean and Coastal Management, vol. 46, n. 9, 2003.
LEIVAS, J. F. et al. “Análise da dinâmica temporal de índices de vegetação NDVI, EVI, SAVI e IRECI através de imagens Sentinel-2A e MODIS”. In: MELO, J. O. F. (org.). Ciências agrárias: o avanço da ciência no Brasil. São Paulo: Editora Científica Digital, 2022.
MA, Y. et al. “Precipitation and Temperature Influence the Relationship between Stand Structural Characteristics and Aboveground Biomass of Forests—A Meta-Analysis”. Forests, vol. 14, n. 5, 2023.
MALEKI, M. et al. “Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland”. Agricultural and Forest Meteorology, vol. 324, 2022.
MAPBIOMAS. “Metodologia geral do MapBiomas Amazônia: Classificação de cobertura e uso do solo utilizando algoritmos de aprendizado de máquina aplicados a imagens de satélite Landsat”. MapBiomas [2024]. Disponível em: . Acesso em: 23/01/2025.
MIRANDA, D. L. C.; MELO, A. C. G.; SANQUETTA, C. R. “Equações alométricas para estimativa de biomassa e carbono em árvores de reflorestamentos de restauração”. Revista Árvore, vol. 35, n. 3, 2011.
MITRA, A. “Ecosystem Services of Mangroves: An Overview”. In: MITRA, A. Mangrove Forests in India. Cham: Springer, 2020.
NAGELKERKEN, I. et al. “Evaluation of nursery function of mangroves and seagrass beds for tropical decapods and reef fishes: patterns and underlying mechanisms”. In: NAGELKERKEN, I. (ed.). Ecological Connectivity among Tropical Coastal Ecosystems. Dordrecht: Springer, 2009.
OLIVEIRA, J. M. et al. “Comparação de modelos estatísticos para estimativa da biomassa de árvores em cerrado sensu stricto”. Ciência Florestal, vol. 21, n. 2, 2011.
PHAM, T. D. et al. “Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges”. Remote Sensing, vol. 11, n. 3, 2019.
RIBEIRO, S. C. Quantificação do estoque de biomassa e análise econômica da implementação de projetos visando a geração de créditos de carbono em pastagem, capoeira e floresta primária (Dissertação de Mestrado em Ciência Florestal). Viçosa: UFV, 2007.
RIZAL, A.; SAHIDIN, A.; HERAWATI, H. “Economic value estimation of mangrove ecosystems in Indonesia”. Biodiversity International Journal, vol. 2, n. 1, 2018.
SAHANA, M. et al. “Assessment of suitable habitat of mangrove species for prioritizing restoration targets using machine-learning algorithms”. Scientific Reports, vol. 12, n. 1, 2022.
SALEM, M. E.; MERCER, D. E. “The Economic Value of Mangroves: A Meta-Analysis”. Sustainability, vol. 4, n. 3, 2012.
SHAO, Z.; ZHANG, L. “Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China”. Sensors, vol. 16, n. 6, 2016.
SILVA, F. Alometria e distribuição de palmeiras em terra-firme na Amazônia Central (Tese de Doutorado em Ciências de Florestas Tropicais). Manaus: INPA, 2018.
SILVA, L. et al. “Assessment of conflicts between mangroves and human occupation in Subaé river outfall between the years 1988 to 2017”. International Journal for Innovation Education and Research, vol. 10, n. 11, 2022.
SOPER, Fiona M. et al. “Non-native mangroves support carbon storage, sediment carbon burial, and accretion of coastal ecosystems”. Global Change Biology, vol. 25, n. 12, 2019.
SOUZA, A. S. et al. “Mapeamento dos manguezais na Baía de Todos os Santos”. Anais do XVIII Simpósio Brasileiro de Sensoriamento Remoto. Santos: INPE, 2023.
TAVARES, J. S. et al. “Análise do carbono negro presente em diferentes matrizes do manguezal de Atafona”. Anais do Congresso Fluminense de Iniciação Científica e Tecnológica. São João da Barra: UENF, 2022.
TORRES, C. M. M. E. et al. “Quantificação de biomassa e estocagem de carbono em uma floresta estacional semidecidual, no Parque Tecnológico de Viçosa, MG”. Revista Árvore, vol. 39, n. 5, 2015.
TRAN, T. V.; REEF, R.; ZHU, X. “A Review of Spectral Indices for Mangrove Remote Sensing”. Remote Sensing, vol. 14, n. 19, 2022.
VEGH, T. et al. “Mangrove Ecosystem Services Valuation: State of the Literature. Nicholas Institute for Environmental Policy Solutions”. Nicholas Institute for Environmental Policy Solutions [2014]. Disponível em: . Acesso em: 23/12/2024.
VIEGAS, A. M. et al. “Mapeamento e determinação da biomassa de manguezais através de imagens de satélite e dados dendrométricos no município de Alcântara-MA”. In: PACHECO, J. T. et al. Meio Ambiente: Inovação com Sustentabilidade. Ponta Grossa: Editora Atena, 2019.
VO, Q. T. et al. “Review of valuation methods for mangrove ecosystem services”. Ecological Indicators, vol. 23, 2012.