Evidence map›Paper›PMID 33496020›Full record

ArticleThe Journal of animal ecology2021

Long-distance migrants vary migratory behaviour as much as short-distance migrants: An individual-level comparison from a seabird species with diverse migration strategies.

J Morgan Brown, E Emiel van Loon, Willem Bouten, Kees C J Camphuysen, Luc Lens, Wendt Müller, Chris B Thaxter, Judy Shamoun-Baranes

Abstract read
In one paragraph

Article in The Journal of animal ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Ecology and evolution · 2026
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  5. Article
  6. Article
  7. Article
  8. Article
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  11. Autumn migration of black-necked crane (Ecology and evolution · 2023
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  12. Article
  13. Article
  14. Article
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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

8 authors.

J Morgan BrownInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-0307-1229
E Emiel van LoonInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-8895-0427
Willem BoutenInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-5250-8872
Kees C J CamphuysenDepartment of Coastal Systems, NIOZ Royal Institute for Sea Research and Utrecht University, Texel, the Netherlands.ORCID 0000-0002-3469-9070
Luc LensTerrestrial Ecology Unit, Ghent University, Ghent, Belgium.ORCID 0000-0002-0241-2215
Wendt MüllerBehavioural Ecology and Ecophysiology Research Group, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-7273-4095
Chris B ThaxterBritish Trust for Ornithology, Norfolk, UK.ORCID 0000-0003-0341-4199
Judy Shamoun-BaranesInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-1652-7646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As environmental conditions fluctuate across years, seasonal migrants must determine where and when to move without comprehensive knowledge of conditions beyond their current location. Animals can address this challenge by following cues in their local environment to vary behaviour in response to current conditions, or by moving based on learned or inherited experience of past conditions resulting in fixed behaviour across years. It is often claimed that long-distance migrants are more fixed in their migratory behaviour because as distance between breeding and wintering areas increases, reliability of cues to predict distant and future conditions decreases. While supported by some population-level studies, the influence of migration distance on behavioural variation is seldom examined on an individual level. Lesser black-backed gulls Larus fuscus are generalist seabirds that use a diversity of migration strategies. Using high-resolution multi-year GPS tracking data from 82 individuals from eight colonies in Western Europe, we quantified inter- and intra-individual variation in non-breeding distributions, winter site fidelity, migration routes and timing of migration, with the objectives of determining how much variation lesser black-backed gulls have in their migratory behaviour and examining whether variation changes with migration distance. We found that intra-individual variation was significantly lower than variation between individuals for non-breeding distributions, winter site fidelity, migration routes and timing of migration, resulting in consistent individual strategies for all behaviours examined. Yet, intra-individual variation ranged widely among individuals (e.g. winter site overlap: 0-0.91 out of 1; migration timing: 0-192 days), and importantly, individual differences in variation were not related to migration distance. The apparent preference for maintaining a consistent strategy, present in even the shortest distance migrants, suggests that familiarity may be more advantageous than exactly tracking current environmental conditions. Yet, variation in behaviour across years was observed in many individuals and could be substantial. This suggests that individuals, irrespective of migration distance, have the capacity to adjust to current conditions within the broad confines of their individual strategies, and occasionally, even change their strategy.

Indexed as

Animal MigrationCharadriiformesAnimalsEuropeReproducibility of ResultsSeasonsGPS trackingindividual differencesmigrationmovement ecologyphenologyplasticityrepeatabilityseabird

Identifiers

PMID33496020
PMCPMC8247866

What OpenQuestion holds

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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.