| Issue |
BIO Web Conf.
Volume 196, 2025
The 3rd International Conference and Scientific Meeting of the Indonesian Limnology Society (SMILS III)
|
|
|---|---|---|
| Article Number | 06002 | |
| Number of page(s) | 11 | |
| Section | GIS, Remote Sensing, and Database-Driven Modeling and Decision Support for Sustainable Inland Water Management | |
| DOI | https://doi.org/10.1051/bioconf/202519606002 | |
| Published online | 21 November 2025 | |
Geospatial Insights into Blue Carbon Recovery and Policy Pathways: Urban Mangrove Dynamics in Bengkulu, Indonesia
1 Doctoral Program of Environmental Science, School of Postgraduate Studies, Diponegoro University, Semarang, Indonesia
2 Geography Education Study Program, Faculty of Teacher Training and Education, Universitas Prof Dr Hazairin SH, Indonesia
3 Department of Biology, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
4 Cluster for Paleolimnology (CPalim), School of Postgraduate Studies, Diponegoro University, Semarang, Indonesia
* Corresponding author: fitriabditama@gmail.com
Mangrove ecosystems are crucial blue-carbon reservoirs, yet their long-term spatial and temporal dynamics along Indonesian urban coasts remain poorly understood. This study mapped 30 years (1995— 2025) of mangrove cover and carbon stock trajectories in Bengkulu City, Indonesia, using integrated remote sensing analysis and field validation. Multi-temporal Landsat and Sentinel imagery indicated a 70.3% decline in mangrove area, dropping from 283.21 ha in 1995 to 84.05 ha in 2015, followed by a 43.9% recovery to 120.93 ha by 2025. Biomass carbon stocks decreased from 39,689 Mg C to 11,767 Mg C but rebounded to 16,930 Mg C. Spatial analysis revealed that the main factor contributing to degradation was the expansion of aquaculture. However, communityled restoration efforts and government intervention significantly aided recovery. These results indicate that severely degraded mangroves can significantly restore their carbon potential through ongoing collaborative rehabilitation efforts aligned with Indonesia's Nationally Determined Contributions (NDCs). The findings offer empirical support for incorporating blue-carbon spatial intelligence into coastal climate mitigation policies in rapidly urbanizing tropical cities.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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