Predicting the effectiveness of depth-based technologies to prevent salmon lice infection using a dispersal model

Samsing, F; Johnsen, I; Stien, LH; Oppedal, F; Albretsen, J; Asplin, L; Dempster, Tim

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Predicting the effectiveness of depth-based technologies to prevent salmon lice infection using a dispersal model

Version 2 2024-06-03, 01:44

Version 1 2023-11-22, 04:23

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posted on 2024-06-03, 01:44 authored by F Samsing, I Johnsen, LH Stien, F Oppedal, J Albretsen, L Asplin, Tim DempsterTim Dempster

Predicting the effectiveness of depth-based technologies to prevent salmon lice infection using a dispersal model

History

Journal

Preventive Veterinary Medicine

Volume

129

Pagination

48-57

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.prevetmed.2016.05.010

ISSN

0167-5877

eISSN

1873-1716

Language

eng

Author URL

https://www.ncbi.nlm.nih.gov/pubmed/27317322

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Elsevier

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Keywords

Animals Aquaculture Arguloida Computer Simulation Disease Models, Animal Fish Diseases Fisheries Lice Infestations Linear Models Models, Biological Norway Salmon Lepeophtheirus salmonis Marine epidemiology Marine parasites Parasite dispersal Plankton behaviour Vertical behaviour Vertical migration

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File(s) under embargo

Predicting the effectiveness of depth-based technologies to prevent salmon lice infection using a dispersal model

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