Fish welfare based classification method of ocean current speeds at aquaculture sites

• Published in: Aquaculture Environment Interactions
• Main Authors: Jónsdóttir, Kristbjörg Edda, Hvas, Malthe, Alfredsen, Jo Arve, Føre, Martin, Alver, Morten, Bjelland, Hans Vanhauwaert, Oppedal, Frode
• Format: Article in Journal/Newspaper
• Language: English
• Published: Inter Research 2019
• Subjects: Atlantic salmon; Salmo salar
• Online Access: http://hdl.handle.net/11250/2601928; https://doi.org/10.3354/aei00310

ABSTRACT: A major trend in marine aquaculture is to move production to more exposed sites with occasionally rough ocean current events. However, it is unclear whether fish will thrive in these extreme environments, since thorough descriptions of ambient current conditions with regards to fish welfare is lacking. In the present study, ocean current data were collected using acoustic Doppler current profilers at 5 exposed sites along the Norwegian coast over minimum periods of 5 mo. To evaluate welfare risks, current data was compared to known limits of swimming capabilities, such as onset of behavioural changes and critical swimming speeds (Ucrit), of Atlantic salmon Salmo salar and lumpfish Cyclopterus lumpus. Specifically, at each site, current speeds were classified into 6 categories based on expected impact on swimming behaviours of Atlantic salmon, and duration of currents within each category were inspected using a homogeneous and non-homogeneous criterion for the water column. Current speeds were then compared with projected Ucrit at relevant temperatures and fish sizes of Atlantic salmon and lumpfish. Furthermore, a detailed characterization of extreme events at the most exposed site was performed. Of the 5 locations, only 1 exceeded the Ucrit of Atlantic salmon, while all sites featured currents above Ucrit of lumpfish for up to 33 h at a time. These results suggest that responsible Atlantic salmon farming is possible at sites considered exposed, while lumpfish should be restricted to more sheltered environments. The presented method can be applied for other aquaculture fish species if adequate data are available. publishedVersion © The authors 2019. Open Access under Creative Commons by Attribution Licence. Use, distribution and reproduction are un - restricted. Authors and original publication must be credited.