Mangrove Structure and Composition Analysis in Teluk Jor, East Lombok Regency

The presence and sustainability of mangrove plants can be inferred from the species' composition and organization within a forest region. The goal of this study is to ascertain the environmental conditions of the mangrove ecosystem in the Teluk Jor region of East Lombok Regency, as well as the diversity index of mangrove species and the structure and composition of the mangrove vegetation. Purposive sampling is used in this descriptive exploratory study design, and data is gathered utilizing transects and quadrants. The results of the research found 7 types of mangroves with 4 families namely the rhizophoraceae family (Rhizophora mucronata, Rhizophora apiculata and Ceriops tagal), the sonneratiaceae family (Sonneratia alba and Sonneratia caseolaris), the avicenniaceae family (Avicennia marina) and the combretaceae family (Lumnitzera racemosa). Sonneratia alba has a relative frequency (FR) value of 63.16%, relative density (KR) of 80.33%, and the highest relative dominance of 78.84% followed by Rhizophora apiculata, Sonneratia caseolaris and Avicennia marina. Seven mangrove species and four families with the greatest important value index belong to Sonneratia alba, according to the research's findings. The sapling category's diversity index was categorized as medium, while the tree category's diversity index was categorized as low.

Authors

Institutions

Publication Details

Journal
JURNAL BIOLOGI TROPIS
Published
2024-12-30
DOI
https://doi.org/10.29303/jbt.v24i2b.8253
Citations
1
Primary Topic
Agricultural and Environmental Management
Type
article
Field-Weighted Citation Impact
1.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mangrove Structure and Composition Analysis in Teluk Jor, East Lombok Regency

Didik Santoso, Agil Al Idrus, Mahrus Mahrus, Lalu Faraby Alif Akbar
1 citations
JURNAL BIOLOGI TROPIS
Agricultural and Environmental Management
1.71
article

Mangrove Structure and Composition Analysis in Teluk Jor, East Lombok Regency

Didik Santoso, Agil Al Idrus, Mahrus Mahrus, Lalu Faraby Alif Akbar
article en
1 citations

Abstract

The presence and sustainability of mangrove plants can be inferred from the species' composition and organization within a forest region. The goal of this study is to ascertain the environmental conditions of the mangrove ecosystem in the Teluk Jor region of East Lombok Regency, as well as the diversity index of mangrove species and the structure and composition of the mangrove vegetation. Purposive sampling is used in this descriptive exploratory study design, and data is gathered utilizing transects and quadrants. The results of the research found 7 types of mangroves with 4 families namely the rhizophoraceae family (Rhizophora mucronata, Rhizophora apiculata and Ceriops tagal), the sonneratiaceae family (Sonneratia alba and Sonneratia caseolaris), the avicenniaceae family (Avicennia marina) and the combretaceae family (Lumnitzera racemosa). Sonneratia alba has a relative frequency (FR) value of 63.16%, relative density (KR) of 80.33%, and the highest relative dominance of 78.84% followed by Rhizophora apiculata, Sonneratia caseolaris and Avicennia marina. Seven mangrove species and four families with the greatest important value index belong to Sonneratia alba, according to the research's findings. The sapling category's diversity index was categorized as medium, while the tree category's diversity index was categorized as low.

JURNAL BIOLOGI TROPISVol. 24(2b)
University of Mataram (ID)
Life in Land
Openalex Percentile: Top 10%
Agricultural and Environmental Management
1.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.