Evidence map›Paper›PMID 38937635›Full record

ArticleScientific reports2024

Long-distance communication can enable collective migration in a dynamic seascape.

Stephanie Dodson, William K Oestreich, Matthew S Savoca, Elliott L Hazen, Steven J Bograd, John P Ryan, Jerome Fiechter, Briana Abrahms

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Food, fear and physics drive collective behaviour in the ocean's pelagic zone.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  3. Culture and conservation in baleen whales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  4. Article
  5. Integrating space, time, and culture in animal conservation practice.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

8 authors.

Stephanie Dodson *Department of Mathematics, Colby College, Waterville, ME, 04901, USA. sdodson@colby.edu.
William K Oestreich *Monterey Bay Aquarium Research Institute, Moss Landing, CA, 95039, USA. woestreich@mbari.org.
Matthew S SavocaHopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, 93950, USA.
Elliott L HazenEnvironmental Research Division, Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Monterey, CA, 93940, USA.ORCID 0000-0002-0412-7178
Steven J BogradEnvironmental Research Division, Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Monterey, CA, 93940, USA.ORCID 0000-0003-3872-9932
John P RyanMonterey Bay Aquarium Research Institute, Moss Landing, CA, 95039, USA.
Jerome FiechterDepartment of Ocean Sciences, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
Briana AbrahmsDepartment of Biology, Center for Ecosystem Sentinels, University of Washington, Seattle, WA, 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social information is predicted to enhance the quality of animals' migratory decisions in dynamic ecosystems, but the relative benefits of social information in the long-range movements of marine megafauna are unknown. In particular, whether and how migrants use nonlocal information gained through social communication at the large spatial scale of oceanic ecosystems remains unclear. Here we test hypotheses about the cues underlying timing of blue whales' breeding migration in the Northeast Pacific via individual-based models parameterized by empirical behavioral data. Comparing emergent patterns from individual-based models to individual and population-level empirical metrics of migration timing, we find that individual whales likely rely on both personal and social sources of information about forage availability in deciding when to depart from their vast and dynamic foraging habitat and initiate breeding migration. Empirical patterns of migratory phenology can only be reproduced by models in which individuals use long-distance social information about conspecifics' behavioral state, which is known to be encoded in the patterning of their widely propagating songs. Further, social communication improves pre-migration seasonal foraging performance by over 60% relative to asocial movement mechanisms. Our results suggest that long-range communication enhances the perceptual ranges of migrating whales beyond that of any individual, resulting in increased foraging performance and more collective migration timing. These findings indicate the value of nonlocal social information in an oceanic migrant and suggest the importance of long-distance acoustic communication in the collective migration of wide-ranging marine megafauna.

Indexed as

Animal MigrationAnimal CommunicationAnimalsEcosystemSeasonsSocial BehaviorWhalesBlue whale (Balaenoptera musculus)Collective behaviorIndividual-based modelKrillMigrationPelagicResource trackingSocial information

Identifiers

PMID38937635
PMCPMC11211507

What OpenQuestion holds

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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.