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Record W2784234745

Impacts of salmon lice emanating from salmon farms on wild Atlantic salmon and sea trout

2018· article· en· W2784234745 on OpenAlexaboutno aff
Eva B. Thorstad, Bengt Finstad

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryTroutSalmoSalmonidaeBiologyGeographyFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

Thorstad, E.B. &amp; Finstad, B. 2018. Impacts of salmon lice emanating from salmon farms on wild Atlantic salmon and sea trout. NINA Report 1449: 1-22. \nResults from scientific studies on the impacts of salmon lice on Atlantic salmon and sea trout are summarized here. Considerable evidence exists that that there is a link between farm-intensive areas and the spread of salmon lice to wild Atlantic salmon and sea trout. Several studies have shown that the effects of salmon lice from fish farms on wild salmon and sea trout populations can be severe; ultimately reducing the number of adult fish due to salmon lice induced mortality, resulting in reduced stocks and reduced opportunities for fisheries. Depending on the population size, elevated salmon lice levels can also result in too few spawners to reach conservation limits. \nSalmon lice are external parasites on salmon and trout at sea. They feed on fish’s mucus, skin and muscle. Mortality due to salmon lice primarily occurs in young fish after they enter the sea from fresh water (11 mobile lice per fish is lethal level for a 15 g wild salmon), but severely infested sea trout can also die from salmon lice later in life. Mortality occurs because salmon lice can cause severely damaged fins and skin lesions, and thereby physiological stress, problems with salt regulation, increased susceptibility to other infections and reduced disease resistance in individual fish. Salmon lice can also cause reduced swimming performance, feeding and growth and altered behaviour of the fish. \nSalmon farming increases the spread and abundance of salmon lice in marine habitats, and thereby the risk of infection and mortality among wild salmon and sea trout in areas with fish farms. These facts are both verified by field monitoring of salmon lice on wild fish and by the fact that salmon lice on wild fish in farm-intensive areas have lice with the same resistance to chem-icals as used in farms. Wild fish in farm-free areas generally show low lice levels. In farm-inten-sive areas, lice levels on wild fish are typically higher, but variable. With the expansion of fish farming, marked salmon lice outbreaks on salmonids have been reported from Canada, Ireland, Norway and Scotland. \nStudies indicate an annual loss of 50 000 adult wild Atlantic salmon to Norwegian rivers because of salmon lice, which corresponds to an overall loss of 10% of the wild salmon because of salmon lice on a national level (i.e., including both farm-free and farm-intensive areas, based on data from the years 2010-2014). Salmon lice from fish farms are identified as one of the two largest threats to wild salmon in Norway. \nPopulation-level effects of salmon lice in Ireland and Norway have been quantified in large-scale studies in nature by comparing the survival of individually tagged fish chemically protected against salmon lice with untreated control fish. These studies show that lice-induced mortality in farm-intensive areas can lead to an average of 12-29% fewer adult salmon. To exemplify this loss, a 20% reduction due to salmon lice in a river where 4000 Atlantic salmon spawn each year equals a loss of 800 spawners, which means that 3200 salmon spawners will return to the river in a given year instead of 4000. Mortality of sea trout is likely to be higher than in Atlantic salmon, because unlike the ocean-migrating Atlantic salmon, they usually remain in coastal waters, where fish farms are situated. \nThere are a large number of scientific studies on the impacts of salmon lice on Atlantic salmon and sea trout, ranging from laboratory and field investigations of the effects of salmon lice on individual fish, to analyses of impacts on wild populations. There is year-to-year and local varia-tion in the population effects of salmon lice, and abilities to estimate effects in different areas depend on sufficient resolution of the monitoring of wild fish and salmon lice levels.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.294
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2018
Admission routes1
Has abstractyes

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