会议论文详细信息
International Conference on Life Sciences and Technology
Carbon Stock Analysis of Mangrove Ecosystems in Paliat Island Sumenep East Java
Hidayah, Zainul^1 ; Andriyani, Lisa^1
Department of Marine Science and Fisheries, Trunojoyo University of Madura, Jl. Raya Telang No 02 Kamal Bangkalan Madura, East-Java, Indonesia^1
关键词: Bruguiera Gymnorrhiza;    Carbon stocks;    Coastal environments;    Coastal fisheries;    Community structures;    Mangrove ecosystems;    Mangroves;    Paliat island;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/276/1/012034/pdf
DOI  :  10.1088/1755-1315/276/1/012034
来源: IOP
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【 摘 要 】

Mangroves have important roles in the coastal environment. They enrich coastal waters with nutrient, protect coastlines from abrasion and sea level rise as well as support coastal fisheries. Another function of mangroves that are less known is their role in carbon (C) sequestration and storage. Previous studies reveal that mangrove forests contain some of the highest carbon stocks per unit area compared to other forest types. However, that information is not widely available, particularly in Indonesia. This study aimed to determine distribution and community structure of mangroves ecosystem and to estimate carbon stock stored in the mangrove forest of Paliat Island Sumenep East Java. The data collection was conducted on the island, starting from July to September 2017 using harvesting sampling method. Furthermore, to discriminate carbon stock from different parts of mangrove vegetation, One Way ANOVA statistical analysis was employed. The results showed that there were 4 dominant mangrove species on the island namely Rhizophora mucronata, Bruguiera gymnorrhiza, Rhizophora stylosa and Rhizophora apiculata. The total mangrove biomass of the study area was approximately 21.59 ton/Ha with an estimated carbon stock around 10.80 ton/Ha. Further analysis explained that there was a significant difference in carbon stock between various parts of mangrove vegetation (One Way ANOVA, F = 220, df1=4, df2=85, p

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