Evidence map›Paper›PMID 40098015›Full record

ArticleMovement ecology2025

Location of capture sufficiently characterises lifetime growth trajectories in a highly mobile fish.

Joshua S Barrow, Jian D L Yen, John D Koehn, Brenton Zampatti, Ben Fanson, Jason D Thiem, Zeb Tonkin, Wayne M Koster, Gavin L Butler, Arron Strawbridge and 3 more

Abstract read
In one paragraph

Article in Movement ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Joshua S BarrowBiosciences 4, The University of Melbourne, Parkville, VIC, Australia. Joshua.barrow@unimelb.edu.au.ORCID http://orcid.org/0000-0002-3993-1123
Jian D L YenDepartment of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, VIC, Australia.
John D KoehnDepartment of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, VIC, Australia.
Brenton ZampattiCommonwealth Scientific and Industrial Research Organisation (CSIRO), Glen Osmond, SA, Australia.
Ben FansonDepartment of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, VIC, Australia.
Jason D ThiemNew South Wales Department of Primary Industries, Narrandera, NSW, Australia.
Zeb TonkinDepartment of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, VIC, Australia.
Wayne M KosterDepartment of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, 123 Brown Street, Heidelberg, VIC, Australia.
Gavin L ButlerNew South Wales Department of Primary Industries, Narrandera, NSW, Australia.
Arron StrawbridgeSouth Australian Research and Development Institute, West Beach, SA, Australia.
Steven G BrooksQueensland Department of Agriculture and Fisheries, Brisbane, QLD, Australia.
Ryan WoodsQueensland Department of Environment and Science, Brisbane, QLD, Australia.
John R MorrongielloBiosciences 4, The University of Melbourne, Parkville, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in somatic growth plays a critical role in determining an individual's body size and the expression of its life history. Understanding the environmental drivers of growth variation in mobile organisms such as fishes can be challenging because an individual's growth expression integrates processes operating at different spatial and temporal scales. Traditionally, otolith (ear stone) based growth analyses have focussed on temporal environmental variation by assuming an individual spends its whole life at its capture location. This approach ignores the movement potential of individuals and thus the role of spatio-temporal variation in conditions experienced. Here, we develop a modelling framework that incorporates individual movement information reconstructed via the analysis of chemical tracers in otoliths. We assess whether consideration of movement histories is important to estimating growth of a mobile freshwater fish, golden perch (Macquaria ambigua) at three spatial resolutions: basin-scale, reach-scale (movement-exclusive), and reach-scale (movement-inclusive). The predictive capacity of annual growth models slightly improved from the basin to the reach spatial scales (inclusive or exclusive of movement histories). Contrary to expectations, incorporating individual movement information, did not improve our ability to describe growth patterns. Golden perch growth was linked to the magnitude of and variation in spring, summer, and previous-year (antecedent) discharge, and spring temperature. The direction and magnitude of these effects was, however, dependent on life stage. Adults benefitted strongly from any increase in discharge or temperature, whereas juveniles benefitted only from increased summer discharge and grew slower in years characterised by wetter and warmer springs. We suggest that, for highly mobile fish like golden perch and in the absence of fine, 'within reach' scale biological data, coarser 'reach-scale' environmental variation may adequately describe individual growth trajectories.

Indexed as

FreshwaterMurray–Darling BasinOtolith microchemistryPartial migrationRiver regulation

Identifiers

PMID40098015
PMCPMC11912647

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.