Dynamics of outbreak and control of salmon lice on two salmon farms in the Broughton Archipelago, British Columbia

Krkošek, Martin; Bateman, Andrew; Proboszcz, Stan; Orr, Craig

doi:10.3354/aei00014

Cited by 34 publications

(27 citation statements)

References 49 publications

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“…Based on the theory that self-infecting growth follows an exponential trend (Krkošek et al 2010), we tested the hypothesis that there is a lower rate of self-infection at the more exposed sites. The final analysis of the effect of exposure on salmon lice population dynamics was investigated by a multiple linear regression of the exposure factors E tp , E f and E t on the temperature de-trended slopes (S t ) (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Nearly all of the salmon farms examined displayed exponential growth of salmon lice, and therefore internally driven population dynamics (Krkošek et al 2010). The only clear exception was fjord A, which exhibited externally driven outbreak dynamics (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Once attached to a host, copepodids eventually develop into adults, and adult females potentially release 26 to 68 nauplii through the protruding egg sacs daily, which then are free to develop to the copepodid stage and to infect other hosts (Heuch et al 2000, á Norði et al 2016. The growth of a sea lice population has an exponential nature (Frazer et al 2012) and is generally modelled as such (Costello 2006, Krkošek et al 2010, Frazer et al 2012. Several dispersion models have been developed which assume that the planktonic stages of the sea lice drift freely with prevailing currents close to the surface (Amundrud & Murray 2009, Adams et al 2012, Salama et al 2013, with recent works including vertical positioning as a response to environmental cues (Johnsen et al , 2016.…”

Section: Introductionmentioning

confidence: 99%

“…Krkošek et al (2010) introduced a salmon lice growth model based on simple mathematical host−macroparasite models following the Anderson-May approach (Anderson & May 1978). Growth is split into 2 modes.…”

Section: Introductionmentioning

confidence: 99%

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Effect of exposure on salmon lice Lepeophtheirus salmonis population dynamics in Faroese salmon farms

Patursson¹,

Simonsen²,

Visser³

et al. 2017

Aquacult. Environ. Interact.

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We assessed variations in salmon lice Lepeophtheirus salmonis population dynamics in Faroese salmon farms in relationship to their physical exposure to local circulation patterns and flushing with adjacent waters. Factors used in this study to quantify physical exposure are estimates of the freshwater exchange rate, the tidal exchange rate and dispersion by tidal currents. Salmon farms were ranked according to the rate of increase in the average numbers of salmon lice per fish. In a multiple linear regression, physical exposure together with temperature were shown to have a significant effect on the rate of lice infection. The sites with low exposure revealed higher rates of self-infection and internally driven outbreak dynamics, while high-exposure sites showed lower rates of self-infection, tending towards externally driven outbreak dynamics. The lowexposure sites also appeared to have a lower threshold of salmon stocking numbers for outbreaks of infection. The study presents a simple method of characterizing salmon farming fjords in terms of their different exposure levels and how they relate to potential self-infection at these sites.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of exposure on salmon lice Lepeophtheirus salmonis population dynamics in Faroese salmon farms

Patursson¹,

Simonsen²,

Visser³

et al. 2017

Aquacult. Environ. Interact.

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“…Self-infection is also considered to be of particular interest in explaining parasite burdens at aquaculture sites (Krkošek et al 2010). The self-infection probability of a site is given by the terms on the leading diagonal of the connectivity matrix (i.e.…”

Section: Network Analysismentioning

confidence: 99%

Connectivity modelling and network analysis of sea lice infection in Loch Fyne, west coast of Scotland

Adams¹,

Black²,

MacIntyre³

et al. 2012

Aquacult. Environ. Interact.

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Sea lice are a persistent threat in many areas where salmon farming is practised. In common with the management of disease, infection levels are typically controlled by operating sites within distinct geographical areas, allowing for coordinated treatment and fallow cycles. However, the hydrodynamic connectivity and consequent transmission of lice larvae between sites is often not well understood, which limits our ability to optimise the spatial distribution of farms to minimise infection. We used a multistage modelling approach to investigate the transmission of sea lice larvae between salmon aquaculture sites in Loch Fyne, Scotland. A finite element hydrodynamic model was forced using meteorological data collected over the study period. Output from this model was used to drive a particle-tracking model. The latter model implemented the development and mortality of larvae to estimate the probability of successful larval dispersal between sites. In turn, these dispersal probabilities were used to define a network describing the sea lice metapopulation (its habitat defined by the aquaculture sites). Methods from graph theory allow the identification of those sites in the network that are likely to be key for the control of sea lice in the loch population as a whole. Model outputs were compared with data from a campaign of plankton tows and with lice abundance data from aquaculture sites. The general pattern of abundance was reasonably well replicated, albeit with some notable discrepancies. These differences are worth investigating further, as they may be suggestive of sources of infection by wild fish or of inadequacies in the model.

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Next‐generation matrices for marine metapopulations: The case of sea lice on salmon farms

Harrington

Cantrell

Lewis

2023

Ecology and Evolution

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Dynamics of outbreak and control of salmon lice on two salmon farms in the Broughton Archipelago, British Columbia

Cited by 34 publications

References 49 publications

Effect of exposure on salmon lice Lepeophtheirus salmonis population dynamics in Faroese salmon farms

Effect of exposure on salmon lice Lepeophtheirus salmonis population dynamics in Faroese salmon farms

Connectivity modelling and network analysis of sea lice infection in Loch Fyne, west coast of Scotland

Next‐generation matrices for marine metapopulations: The case of sea lice on salmon farms

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