Citation
Abstract
Aim: To investigate the species composition and diversity of fishes from the seagrass habitat in Lawas, Sarawak, Malaysia. Methodology: Fishes were collected with an encircling gillnet net during the dry, wet and intermediate season of the year. Water characteristics were analyzed in-situ through analytical methods. Results: A total of 60 fish species from 37 families were recorded in the seagrass ecosystem. Dominant species with highest total abundance observed were Lethrinus lentjan (12.83%), Hyporhamphus limbatus (8.50%) and Leiognathus equulus (8.33%). Cluster analysis revealed three fish species assemblages; Lethrinus lentjan and Lutjanus fulviflamma (dry season), Nibea soldadu, Platycephalus indicus and L. equulus (intermediate season), while Hyporhamphus limbatus, Gerres erythrourus, Thryssa hamiltonii, Gerres oyena, Sphyraena jello and Gnathanodon speciosus (wet-intermediate season). All indices (no. of species, diversity and evenness) showed an increasing trend from dry, wet to intermediate season. Interpretation: The seagrass ecosystem of Lawas harbours a rich and diverse group of fish communities indicating an important fishery resource habitat. The findings of this study provide baseline information on fish resources from this seagrass ecosystem, which will be useful for the conservation and management of its fish resources in the future.
Download File
Full text not available from this repository.
Official URL or Download Paper: http://www.jeb.co.in/index.php?page=abstract&issue...
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | Faculty of Agriculture and Food Sciences |
DOI Number: | https://doi.org/10.22438/jeb/41/5(SI)/MS_32 |
Publisher: | Triveni Publishers |
Keywords: | Fish diversity; Important species indices; Seagrass ecosystem; Species composition |
Depositing User: | Nurul Ainie Mokhtar |
Date Deposited: | 06 Oct 2023 22:59 |
Last Modified: | 06 Oct 2023 22:59 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.22438/jeb/41/5(SI)/MS_32 |
URI: | http://psasir.upm.edu.my/id/eprint/85876 |
Statistic Details: | View Download Statistic |
Actions (login required)
View Item |