# Mangrove Ecosystem Vegetation on the Coast of the Makassar Strait, Indonesia
> Gosari B.A.J.

URL kanonis: https://discover.unhas.ac.id/publications/mangrove-ecosystem-vegetation-on-the-coast-of-the-makassar-strait-indonesia
Jurnal / Konferensi: Egyptian Journal of Aquatic Biology and Fisheries
Tahun terbit: 2025
DOI: https://doi.org/10.21608/ejabf.2025.445044
ISSN: 11106131
Kuartil SJR: Q3
Citations: 0

## Authors
- Gosari B.A.J.

## Abstract
The mangrove forest ecosystem is a vital habitat for marine organisms and holds significant economic potential. This article aimed to assess the condition of mangrove ecosystem vegetation along the Makassar Strait Coast. The findings of this study would serve as a foundation for future research and ecosystem management efforts. The data analyzed include species composition and vegetation structure within the mangrove ecosystem. The analytical methods used consist of calculations for species density (Di), relative density (RDi), species frequency (Fi), relative frequency (RFi), species dominance (Ci), relative dominance (RCi), and the Importance Value Index (INP). The results identified 19 mangrove species across 12 families, with the Rhizophoraceae family being the most dominant, represented by six species. The highest vegetation density was recorded for Rhizophora stylosa in Majene, with 2,169 individuals per hectare. The corresponding ecological indices were: Di = 21.69, RDi = 26.75, Fi = 1.0, RFi = 13.51, Ci = 374,566.96, RCi = 41.26, and INP = 101.00. This level of density falls into the “good” category based on standard vegetation assessment criteria. The outcomes of this study can serve as a valuable reference for formulating a sustainable development model for mangrove ecosystems, particularly one aligned with the principles of the blue economy on the Makassar Strait Coast.

## Keywords
- Mangrove
- Mangrove ecosystem
- Geography
- Vegetation (pathology)
- Fishery
- Ecosystem
- Oceanography
- Ecology
- Biology
- Geology
- Medicine
- Pathology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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