Evidence map›Paper›PMID 29581404›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Inferring the rules of social interaction in migrating caribou.

Colin J Torney, Myles Lamont, Leon Debell, Ryan J Angohiatok, Lisa-Marie Leclerc, Andrew M Berdahl

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
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  8. Review
  9. Inferring social influence in animal groups across multiple timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  10. Article
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  15. Searching for structure in collective systems.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  16. Article
  17. Modelling collective navigation via non-local communication.Journal of the Royal Society, Interface · 2021
    Article
  18. Collective detection based on visual information in animal groups.Journal of the Royal Society, Interface · 2021
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  19. Article
  20. 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

6 authors at 3 institutions in 3 countries.

Colin J TorneySchool of Mathematics and Statistics, University of Glasgow, Glasgow G12 8QW, UK colin.torney@glasgow.ac.uk.ORCID 0000-0003-1673-7835
Myles LamontTerraFauna Wildlife Consulting, 19313 Zero Avenue, Surrey, BC, Canada, V3Z 9R9.
Leon DebellCentre for Mathematics & the Environment, University of Exeter, Penryn TR10 9EZ, UK.
Ryan J Angohiatok10 Aniakvik Road, Cambridge Bay, NU, Canada, X0B 0C0.
Lisa-Marie LeclercGovernment of Nunavut, Department of Environment, Kugluktuk, NU, Canada, X0B 0E0.
Andrew M BerdahlSanta Fe Institute, Santa Fe, NM 87501, USA berdahl@uw.edu.ORCID 0000-0002-5057-0103
Government of Nunavut · CAUniversity of Exeter · GBSanta Fe Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social interactions are a significant factor that influence the decision-making of species ranging from humans to bacteria. In the context of animal migration, social interactions may lead to improved decision-making, greater ability to respond to environmental cues, and the cultural transmission of optimal routes. Despite their significance, the precise nature of social interactions in migrating species remains largely unknown. Here we deploy unmanned aerial systems to collect aerial footage of caribou as they undertake their migration from Victoria Island to mainland Canada. Through a Bayesian analysis of trajectories we reveal the fine-scale interaction rules of migrating caribou and show they are attracted to one another and copy directional choices of neighbours, but do not interact through clearly defined metric or topological interaction ranges. By explicitly considering the role of social information on movement decisions we construct a map of near neighbour influence that quantifies the nature of information flow in these herds. These results will inform more realistic, mechanism-based models of migration in caribou and other social ungulates, leading to better predictions of spatial use patterns and responses to changing environmental conditions. Moreover, we anticipate that the protocol we developed here will be broadly applicable to study social behaviour in a wide range of migratory and non-migratory taxa.This article is part of the theme issue 'Collective movement ecology'.

Indexed as

Animal MigrationSocial BehaviorAnimalsBayes TheoremNunavutReindeerbarren-ground caribou (Rangifer tarandus groenlandicus × pearyi)collective behaviourmigration modellingsocial interaction rulesunmanned aerial vehicles (UAV)

Identifiers

PMID29581404
PMCPMC5882989
OpenAlexW2790085254

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.