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All Journal MEDIA KONSERVASI Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Sylva Lestari TRJ (Tourism Research Journal) Jurnal Ilmiah Pariwisata
Adam Rachmatullah
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Agriculture, Biological Sciences & Forestry Humanities Earth & Planetary Sciences Education Energy Environmental Science Materials Science & Nanotechnology

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Assessment of Mangrove Distribution, Carbon Stock, and Carbon Sequestration toward Sustainable Coastal Management in Northern Coastal of Subang Regency, Indonesia Santoso, Nyoto; Asy’Ari, Rahmat; Ulfa, Aulia; Rachmatullah, Adam; Octovianus; Ramadhan, Yusuf
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 2 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.2.136

Abstract

Mangrove ecosystems play a crucial role in climate change mitigation through carbon sequestration; however, increasing anthropogenic pressures threaten their function as carbon sinks. Along the northern coast of Subang, Indonesia, information on mangrove carbon stocks remains limited despite its importance for sustainable coastal management. This study assesses mangrove distribution and estimates carbon stocks and CO₂ sequestration potential using Sentinel-2 MultiSpectral Instrument (MSI) remote sensing data. The research was conducted over a period of 5 months, from the midle of June to November 2025. The results show that mangrove density averaged 8,067 ± 5,332 trees ha⁻¹, dominated by Avicennia marina (69%). Estimated carbon stocks reached 183.73 ± 97.04 Mg C ha⁻¹, comprising 130.11 ± 70.36 Mg C ha⁻¹ of aboveground carbon and 53.62 ± 26.95 Mg C ha⁻¹ of belowground carbon. Across 2,684 ha, total carbon storage was estimated at 268,577 Mg C, equivalent to a CO₂ sequestration potential of 984,782 Mg CO₂e. The Support Vector Machine (SVM) Linear model achieved the highest prediction accuracy (R² = 0.86; RMSE = 0.07; MAE = 0.06). These findings highlight the significant contribution of Subang’s mangroves to climate change mitigation and provide essential data to support sustainable coastal management and Indonesia’s FOLU Net Sink 2030 target.
Co-Authors Anggraini, Tri Hanna Tania Asy’Ari, Rahmat Atmadja, Valencia Andrea Devita Gantina Emenina Tarigan, Emenina Fetty Asmaniati Haryono, Joko Linda Desafitri RB Maudiarti, Santi Metasari, Defrita Michael Khrisna Aditya Mimi Enggriani Munajat, Mafut Musoman, Ansyari Myrza Rahmanita Nurbaeti Nurbaeti Nyoto Santoso Octovianus Oktovianus Oktovianus, Oktovianus Pasaribu Pasaribu Purwanti Dyah Pramanik, Purwanti Dyah Putra, Ranandyo Muliawan Ramadhan, Yusuf Reno Catelya Dira Oktavia Ricky Avenzora Rina Suprina Suprajanti, Dina Sri Tri Djoko Sulistiyo, Tri Djoko Tutut Sunarminto Ulfa, Aulia