ArticleEvolutionary applications2023
Evolutionary predictions for a parasite metapopulation: Modelling salmon louse resistance to pest controls in aquaculture.
Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Evidence for the Evolution of Resistance to Non-Chemical Parasite Controls: Salmon Lice From Submerged Cages Produce Larvae That Swim Deeper.Evolutionary applications · 2025Article
- Modelling the Effectiveness of Gene-Edited Salmon at Sea Lice Control and the Use of Refugia to Mitigate Counter-Adaptation.Evolutionary applications · 2025Article
- Threshold-based disease treatment approach modulates economic, conservation and evolutionary trade-offs in sea louse-salmon aquaculture system.Theoretical ecology · 2025Article
- Evolutionary predictions for a parasite metapopulation: Modelling salmon louse resistance to pest controls in aquaculture.Evolutionary applications · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pests often evolve resistance to pest controls used in agriculture and aquaculture. The rate of pest adaptation is influenced by the type of control, the selective pressure it imposes, and the gene flow between farms. By understanding how these factors influence evolution at the metapopulation level, pest management strategies that prevent resistance from evolving can be developed. We developed a model for the metapopulation and evolutionary dynamics of the salmon louse (
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