A machine vision system for tracking population behavior of zooplankton in small-scale experiments: a case study on salmon lice (Lepeophtheirus salmonis Krøyer, 1838) copepodite population responses to different light stimuli | Zendy

Bjarne Kvæstad | Zendy; Trond Nordtug | Zendy; Andreas Hagemann | Zendy

Open Access

A machine vision system for tracking population behavior of zooplankton in small-scale experiments: a case study on salmon lice (Lepeophtheirus salmonis Krøyer, 1838) copepodite population responses to different light stimuli

Author(s) -

Bjarne Kvæstad,

Trond Nordtug,

Andreas Hagemann

Publication year - 2020

Publication title -

biology open

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.936

H-Index - 41

ISSN - 2046-6390

DOI - 10.1242/bio.050724

Subject(s) - lepeophtheirus , biology , zooplankton , population , infestation , ecology , scale (ratio) , fishery , zoology , aquaculture , fish <actinopterygii> , cartography , demography , botany , sociology , geography

To achieve efficient and preventive measures against salmon lice ( Lepeophtheirus salmonis Krøyer, 1838) infestation, a better understanding of behavioral patterns of the planktonic life stages is key. To investigate light responses in L. salmonis copepodites, a non-intrusive experimental system was designed to measure behavioral responses in a 12.5-l volume using machine vision technology and methodology. The experimental system successfully tracked the collective movement patterns of the sea lice population during exposure to different light stimuli emitted from alternating zones in the system. This system could further be used to study behavioral responses to different physical cues of various developmental stages of sea lice or other zooplankton.

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