Evidence map›Paper›PMID 35357697›Full record

ArticleJournal of fish biology2022

Early-season brown trout (Salmo trutta) migrants grow and survive better at sea.

Arne J Jensen, Ola H Diserud, Bengt Finstad, Peder Fiske, Eva B Thorstad

Open access · hybridAbstract read
In one paragraph

Article in Journal of fish biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Arne J JensenNorwegian Institute for Nature Research, Trondheim, Norway.ORCID https://orcid.org/0000-0002-7274-344X
Ola H DiserudNorwegian Institute for Nature Research, Trondheim, Norway.ORCID https://orcid.org/0000-0002-7331-3230
Bengt FinstadDepartment of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0003-3796-0884
Peder FiskeNorwegian Institute for Nature Research, Trondheim, Norway.ORCID https://orcid.org/0000-0003-2253-900X
Eva B ThorstadNorwegian Institute for Nature Research, Trondheim, Norway.ORCID https://orcid.org/0000-0002-7373-6380
Norwegian Institute for Nature Research · NONorwegian University of Science and Technology · NO

Funding

Miljødirektoratet
6 · The paper itself

Abstract

The timing of seaward migration is a key life-history trait for many anadromous fish species, with growth and survival at sea depending on a match/mismatch scenario between the timing of the sea entry and optimal conditions. Based on a 25-year study with 15,226 individually tagged brown trout (Salmo trutta) in a Norwegian river, we analysed how the within-season timing of sea migration impacted growth and survival. In both first-time and veteran migrants, marine growth was highest for early migrating individuals, large individuals, and those with a low condition factor when entering the sea. Survival was highest for individuals entering the sea early in the season. In first-time migrants, survival increased with body length. Survival also increased with the number of other smolts migrating simultaneously. As the early smolts were the most successful, it may seem strange that many smolts migrate later in the season. We suggest that late-migrating smolts may not be of a size and/or physiological state suitable for early marine conditions, and may make the best of a bad situation.

Indexed as

Animal MigrationTransients and MigrantsAnimalsHumansRiversSeasonsTroutanadromousgrowthmatch/mismatchmigrationsurvival

Identifiers

PMID35357697
PMCPMC9321885
OpenAlexW4220683469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.