Evidence map›Paper›PMID 31530837›Full record

ArticleScientific reports2019

The influence of initial developmental status on the life-history of sea trout (Salmo trutta).

Diego Del Villar-Guerra, Martin H Larsen, Henrik Baktoft, Anders Koed, Kim Aarestrup

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Diego Del Villar-GuerraLoughs Agency, 22 Victoria Road, Londonderry, BT472AB, Northern Ireland, UK.
Martin H LarsenDanish Centre for Wild Salmon, Brusgårdsvej 15, 8960, Randers, SØ, Denmark.
Henrik BaktoftTechnical University of Denmark, National Institute of Aquatic Sciences, Denmark, Vejlsøvej 39, 8600, Silkeborg, Denmark.ORCID http://orcid.org/0000-0002-3644-4960
Anders KoedTechnical University of Denmark, National Institute of Aquatic Sciences, Denmark, Vejlsøvej 39, 8600, Silkeborg, Denmark.
Kim AarestrupTechnical University of Denmark, National Institute of Aquatic Sciences, Denmark, Vejlsøvej 39, 8600, Silkeborg, Denmark. kaa@aqua.dtu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spring migrating sea trout juveniles can be classified as parr, pre-smolt or smolt based on body morphology and osmoregulatory capacity. In this respect, parr are assumed to be less prepared for a marine life and to have lower survival at sea than pre-smolts and smolts. However, the behaviour and survival of these trout phenotypes upon entering the sea is not well known. Using passive integrated transponder telemetry, this study found that the return rate from the sea to the natal river was higher for parr compared to pre-smolts and smolts. Additionally, trout classified as parr generally migrated earlier to the sea and a larger proportion returned to the river after less than one year at sea. The daily mortality rate at sea was comparable among the different phenotypes of trout, suggesting that the higher proportion of returning parr to the river was linked to their shorter duration at sea. These results provide evidence of different life-history strategies for seaward-migrating juvenile sea trout, ultimately affecting their return rate to the natal river. Investigations failing to consider downstream migrating parr and pre-smolts risks neglecting a large part of the anadromous population and may result in inaccurate assessments of sea trout stocks in rivers.

Indexed as

Life Cycle StagesPopulation DynamicsTroutAnimal MigrationAnimalsOceans and SeasPhenotypeRemote Sensing TechnologyRivers

Identifiers

PMID31530837
PMCPMC6748944

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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.