| Issue |
E3S Web of Conf.
Volume 482, 2024
Young Scholar Symposium on Science Education, Earth, and Environment (YSSSEE 2023)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 10 | |
| Section | Ecology, Biodiversity and Ways of its Conservation | |
| DOI | https://doi.org/10.1051/e3sconf/202448201004 | |
| Published online | 29 January 2024 | |
Species Composition and Density in the Mangrove Forest Area of Sriminosari Village, Labuhan Maringgaika District, East Lampung Regency
1 Raden Intan State Islamic University Lampung, Lampung, Indonesia
2 Indraprasta PGRI University, Jakarta, Indonesia
3 Langlangbuana University, Bandung, Indonesia
* Corresponding author: rismayanti@gmail.com
Mangroves are mangrove species that can develop and grow in muddy tidal areas so that they can form a vegetation community. Mangroves have a unique adaptability, namely the ability to adapt to oxygen levels (O2) which is low causing the root system in mangroves to look like chicken claws and is included in the buffer type. The presence of mangrove forests has an important role in keeping the monitoring lip area from abrasion by sea waves so that it remains stable. The purpose of this study was to determine the species composition and density in the mangrove forest area of Sriminosari Village, Labuhan Maringgai District, East Lampung Regency. Based on the results of research that has been conducted in the mangrove forest area of Sriminosari Village, it can be concluded that the vegetation found in the mangrove forest area of Sriminosari Village contains 2 mangrove tribes. The relative density value of mangroves in the village of Sriminosari on speciesAvicennia marinawith a percentage of 100%. As for the species apiculata has a percentage of 24.4%. Based on H’total calculation of 1.2, it means that the mangrove forest of Sriminosari Village belongs to the medium category from the calculation of the Shannon-Wiener index
© The Authors, published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.