RT Journal Article
T1 Fish abundance estimation with imaging sonar in semi-intensive aquaculture ponds
A1 Gutiérrez Estrada, Juan Carlos
A1 Pulido Calvo, Inmaculada
A1 Castro Gutiérrez, Jairo
A1 Peregrín Rubio, Antonio
A1 López Domínguez, Samuel
A1 Gómez Bravo, Fernando
A1 Garrocho Cruz, Alejandro
A1 Rosa Lucas, Ignacio de la
AB To know the abundance of fishes and their size distribution in the semi-intensive rearing systems in traditional ponds is an aspect key to plan and manage efficiently the sales lots. Usually this information is obtained by means of sampling which mandatory supposes a direct catch and stressful and time consuming management of fishes. Therefore, in this work we propose the use of non-invasive procedures based on multibeam sonars or imaging sonars to count and size the fishes in the ponds. For that, we use a commercial technology portable-fixed multibeam imaging sonar and estimate the abundance in ponds of a gilt-head seabream (Sparus aurata) fishfarm from sonar image analysis and adapting statistical methodologies traditionally applied for bird abundance estimation. Additionally, a simulation software was developed to emulate the fish aggregation contained in the rearing ponds. This computer program allows the calculation of an abundance correction factor which depends on the transducer beam size in relation to the pond size. The results indicate that the estimation is as accurate as the obtained by the fishfarm manager using traditional sampling methods and additionally it is possible to obtain a realistic function of the size distribution which allows estimate the biomass by size contained in the rearing ponds.
PB Elsevier
SN 0144-8609
YR 2022
FD 2022-01-29
LK http://hdl.handle.net/10272/21236
UL http://hdl.handle.net/10272/21236
LA eng
NO Gutiérrez-Estrada, J. C., Pulido-Calvo, I., Castro-Gutiérrez, J., Peregrín, A., López-Domínguez, S., Gómez-Bravo, F., Garrocho-Cruz, A., & de la Rosa-Lucas, I. (2022). Fish abundance estimation with imaging sonar in semi-intensive aquaculture ponds. Aquacultural Engineering, 97, 102235. https://doi.org/10.1016/j.aquaeng.2022.102235
NO This work was supported by KTTSeaDrones project (0622_KTTSEADRONES_5_E), cofunded by the European Regional Development Fund,ERDF, through the Interreg V-A Spain-Portugal program (POCTEP)2014–2020. We would like to express our gratitude to Rafael RodríguezSierra (Manager of ‘Salinas del Astur’) for his willingness to carry out allthe experiments of the KTTSeaDrones project at the ‘Salinas del Astur’facilities. Funding for open access charge: Universidad de Huelva/CBUA.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026