Evidence map›Paper›PMID 34787703›Full record

ArticleOecologia2022

Forecasting intraspecific changes in distribution of a wide-ranging marine predator under climate change.

Yuri Niella, Paul Butcher, Bonnie Holmes, Adam Barnett, Robert Harcourt

Erratum issuedAbstract read
In one paragraph

Article in Oecologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Ecological Characteristics of Large-Bodied Sharks in the East Sea of Korea.Animals : an open access journal from MDPI · 2025
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  3. Article
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  9. Effect of Warming on Personality of Mosquitofish (Animals : an open access journal from MDPI · 2024
    Article
  10. Article
  11. Article
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  13. Article
  14. Bull Shark (Biology · 2023
    Article
  15. Article
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  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yuri NiellaDepartment of Biological Sciences, Macquarie University, North Ryde, Sydney, NSW, 2113, Australia. yuri.niella@gmail.com.ORCID http://orcid.org/0000-0003-1878-6091
Paul ButcherNSW Department of Primary Industries, National Marine Science Centre, PO Box 4321, Coffs Harbour, NSW, 2450, Australia.
Bonnie HolmesSchool of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, 4556, Australia.
Adam BarnettCollege of Science and Engineering, James Cook University, Townsville, Australia.
Robert HarcourtDepartment of Biological Sciences, Macquarie University, North Ryde, Sydney, NSW, 2113, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, marine animal distributions are shifting in response to a changing climate. These shifts are usually considered at the species level, but individuals are likely to differ in how they respond to the changing conditions. Here, we investigate how movement behaviour and, therefore, redistribution, would differ by sex and maturation class in a wide-ranging marine predator. We tracked 115 tiger sharks (Galeocerdo cuvier) from 2002 to 2020 and forecast class-specific distributions through to 2030, including environmental factors and predicted occurrence of potential prey. Generalised Linear and Additive Models revealed that water temperature change, particularly at higher latitudes, was the factor most associated with shark movements. Females dispersed southwards during periods of warming temperatures, and while juvenile females preferred a narrow thermal range between 22 and 23 °C, adult female and juvenile male presence was correlated with either lower (< 22 °C) or higher (> 23 °C) temperatures. During La Niña, sharks moved towards higher latitudes and used shallower isobaths. Inclusion of predicted distribution of their putative prey significantly improved projections of suitable habitats for all shark classes, compared to simpler models using temperature alone. Tiger shark range off the east coast of Australia is predicted to extend ~ 3.5° south towards the east coast of Tasmania, particularly for juvenile males. Our framework highlights the importance of combining long-term movement data with multi-factor habitat projections to identify heterogeneity within species when predicting consequences of climate change. Recognising intraspecific variability will improve conservation and management strategies and help anticipate broader ecosystem consequences of species redistribution due to ocean warming.

Indexed as

Climate ChangeSharksAnimal DistributionAnimalsEcosystemFemaleHumansMaleTemperatureAnimal telemetryEast Australian CurrentEnvironmental correlatesGaleocerdo cuvierShark–human interactionSpecies distribution modelTiger shark

Identifiers

PMID34787703
PMCPMC8803685

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Registered trials

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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.