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dc.contributor.advisorLeidonald, Rusdi
dc.contributor.authorSiregar, Rizqy Ummi
dc.date.accessioned2025-04-16T04:27:19Z
dc.date.available2025-04-16T04:27:19Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/103151
dc.description.abstractThe mangrove ecosystem plays a crucial role in climate change mitigation by storing large amounts of carbon. This study aims to analyze carbon stocks in the mangrove ecosystem in Pangkalan Siata Village, Langkat Regency. The method used is a non-destructive method with an allometric approach to estimate mangrove biomass and carbon stocks. Data collection was conducted at 10 research stations selected through purposive sampling based on vegetation density. The results of the study show that carbon sequestration in the mangrove ecosystem in Pangkalan Siata Village has a value of 1,035,416 tons of CO₂e, with an economic valuation under the mandatory market scheme amounting to IDR 227,294,654,857 and under the voluntary market scheme amounting to IDR 86,974,995,481. Environmental factors such as fraction and substrate category have a positive correlation with mangrove density, whereas temperature has a negative correlation with mangrove density. This research is expected to serve as a reference for mangrove conservation efforts and to raise awareness of the importance of this ecosystem in carbon emission reduction and climate change mitigation.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectMangroveen_US
dc.subjectCarbon Stocken_US
dc.subjectBiomassen_US
dc.subjectClimate Changeen_US
dc.subjectNDVIen_US
dc.titleStok Karbon pada Ekosistem Mangrove di Desa Pangkalan Siata Kabupaten Langkaten_US
dc.title.alternativeCarbon Stock in Mangrove Ecosytem at Pangkalan Siata Village, Langkat Regencyen_US
dc.typeThesisen_US
dc.identifier.nimNIM210302059
dc.identifier.nidnNIDN0015037808
dc.identifier.kodeprodiKODEPRODI54242#Manajemen Sumber Daya Perairan
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 13. Climate Actionen_US


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