ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2016
Fishing diseased abalone to promote yield and conservation.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Strategies for managing marine disease.Ecological applications : a publication of the Ecological Society of America · 2022Article
- Counting the dead to determine the source and transmission of the marine herpesvirus OsHV-1 in Crassostrea gigas.Veterinary research · 2018Article
- Managing marine disease emergencies in an era of rapid change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Lessons from sea louse and salmon epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Communicating about ocean health: theoretical and practical considerations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Marine disease impacts, diagnosis, forecasting, management and policy.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Article
- Infectious diseases in oyster aquaculture require a new integrated approach.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Reserves as tools for alleviating impacts of marine disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Article
- Managing marine mollusc diseases in the context of regional and international commerce: policy issues and emerging concerns.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Past theoretical models suggest fishing disease-impacted stocks can reduce parasite transmission, but this is a good management strategy only when the exploitation required to reduce transmission does not overfish the stock. We applied this concept to a red abalone fishery so impacted by an infectious disease (withering syndrome) that stock densities plummeted and managers closed the fishery. In addition to the non-selective fishing strategy considered by past disease-fishing models, we modelled targeting (culling) infected individuals, which is plausible in red abalone because modern diagnostic tools can determine infection without harming landed abalone and the diagnostic cost is minor relative to the catch value. The non-selective abalone fishing required to eradicate parasites exceeded thresholds for abalone sustainability, but targeting infected abalone allowed the fishery to generate yield and reduce parasite prevalence while maintaining stock densities at or above the densities attainable if the population was closed to fishing. The effect was strong enough that stock and yield increased even when the catch was one-third uninfected abalone. These results could apply to other fisheries as the diagnostic costs decline relative to catch value.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.