Fish Stock Estimation by Using the Hydroacoustic Survey Method in Sikka Regency Waters, IndonesiaPujiyati S1, Hestirianoto T1, Wulandari PD1 and Lubis MZ2*
- *Corresponding Author:
- Lubis MZ
Marine Acoustic Laboratory Assistant
Department of Marine Science and Technology
Bogor Agricultural UniversityJln. Agatis
Kampus IPB Dramaga Bogor 16680, Indonesia
Tel: +62 251 8622642
E-mail: [email protected]
Received Date: April 27, 2016; Accepted Date: June 22, 2016; Published Date: July 10, 2016
Citation: Pujiyati S, Hestirianoto T, Wulandari PD, Lubis MZ (2016) Fish Stock Estimation by Using the Hydroacoustic Survey Method in Sikka Regency Waters, Indonesia. J Fisheries Livest Prod 4:193. doi: 10.4172/2332-2608.1000193
Copyright: © 2016 Pujiyati S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sikka regency waters including fishery management with a high utilization status so that the necessary stages of an intensive monitoring and research potential of fish resources. This study aimed to obtain the estimated value of stock biomass and density of fish resources with the acoustic method. Quantitative data obtained will be a source of current information on the state of fish resources in the Sikka regency waters, Indonesia. The research was conducted in May 2015. Acoustic data retrieval, using instruments CruzPro fish finder PcFF-80 with sound velocity of 1516 m/s, power 2560 Watt, and method in survey acoustic use hydroacoustic long transect. Horizontal distribution shows fluctuations striking at research location has the highest salinity levels in the range of 29.3-29.8 psu. Total biomass of fish in this study showed more the number is at a depth of 11-20 m that is 2,008 tons/Km and at a depth of 1-10 m have the total fish biomass is 12.33 tons/Km, single detection is done using a single target hidroacoustic show more dominance at a depth of 11-20 m in Sikka regency waters, MTB, Indonesia in May 2015. Number of data from results obtained by looking at the relationship between the number of the data with the total biomass in keadalam 1-10 m has equation Y=0.0967 x+0.0486 with R2 is 0.0464 (4%), while at a depth of 11-20 m has a regression equation is Y=0.0003 x+0041 with the R2 is 0.0091 (0.9%). Variations in the data or the detection of single targets have variations over the data that is at a depth of 11-20 m with regression low percentage is 0.9%.