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Mangrove ecosystems in coastal Indonesia, especially in Banyuwangi Regency, are facing pressure due to human activities and environmental changes.This study aimed to assess the spatio-temporal dynamics of mangroves and project changes in area and its implications for blue carbon stocks in Muncar District, Banyuwangi, from 2015 to 2030.A combination of Sentinel-2 data, multispectral Unmanned Aerial Vehicle (UAV) technology, and Cellular Automata-Markov (CA-Markov) modelling was used to map historical changes and project future conditions.Classification using the Baloloy algorithm showed a high level of accuracy (Overall Accuracy 98%, Kappa 0.96), with mangrove area increasing from 262.55 ha in 2015 to 309.90 ha in 2025.However, the CA-Markov scenario projection indicates a decrease in mangrove area to 275.38 ha by 2030, based on the transition dynamics derived from the 2015-2020 calibration period.The blue carbon stock estimation using a mean carbon storage value of 714 Mg C/ha (equivalent to 2,620 Mg CO₂-eq/ha), the projected 10.98ha reduction relative to the simulated 2025 baseline corresponds to a potential reduction in mangrove carbon stock of approximately 7,840 Mg C (28,746 Mg CO₂-eq).This value represents potential carbon stock at risk associated with the projected reduction in mangrove areas rather than a direct estimate of atmospheric carbon emissions.Despite historical mangrove recovery, the results indicate continued vulnerability to future mangrove loss and associated reductions in landscape-scale carbon storage.Spatially targeted conservation, rehabilitation, and regular monitoring are therefore recommended to maintain mangrove extent and blue-carbon stocks and to support climate-change mitigation and coastal ecosystem resilience.
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Salim et al. (2026) studied this question.
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