Issue |
E3S Web Conf.
Volume 47, 2018
2nd Scientific Communication in Fisheries and Marine Sciences (SCiFiMaS 2018)
|
|
---|---|---|
Article Number | 06008 | |
Number of page(s) | 10 | |
Section | Social Economic Aspect of Fisheries | |
DOI | https://doi.org/10.1051/e3sconf/20184706008 | |
Published online | 01 August 2018 |
Fishing seasons of fish landed at Sungailiat Archipelago Fishing Port in Bangka Regency
1
Marine Science Department, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indonesia
2
Marine Science Department, Faculty of Marine Sciences and Fisheries, Udayana University, Indonesia.
* Corresponding author: siti_fauziyah@yahoo.com
The fish landed at the Archipelago Fishing Port of Sungailiat is an important aspect for the fishing industry development. One of the factors that influence the sustainability of capture fisheries is optimal fishing operation. Fishing season index can be used to determine an appropriate time in perform of fishing operations. The objective of this research is to determine fishing season pattern of pelagic and demersal fish in the Archipelago Fishing Port of Sungailiat. Time series data on catch and fishing efforts (2006-2015) collected from Sungailiat Archipelago Fishing Port were used to calculate monthly CPUEs and then analysed using moving average method to obtain fishing season index for each month. This results showed that the peak fishing season of eastern little tuna and Barre spanish mackerel occur for 4 months with the best peak season respectively in October and April. The peak fishing season of Yelowstripe Scad, Tile Trevally, Terpedo Scad, sharks and Grouper occur for 5 months with the best peak season respectively in October, May, January, April, and February. The peak fishing season of Marine catfish and Black pomfret occur for 6 months with the best peak season respectively in January and October. While the peak fishing season of Ray occur for 8 months with the best peak season in October.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.