Evidence map›Paper›PMID 39230446›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

A wrap-around movement path randomization method to distinguish social and spatial drivers of animal interactions.

Kaija Gahm, Ryan Nguyen, Marta Acácio, Nili Anglister, Gideon Vaadia, Orr Spiegel, Noa Pinter-Wollman

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Expanding theory, methodology and empirical systems at the spatial-social interface.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  3. A wrap-around movement path randomization method to distinguish social and spatial drivers of animal interactions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    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

7 authors.

Kaija GahmDepartment of Ecology and Evolutionary Biology, University of California , Los Angeles, CA, USA.ORCID 0000-0002-4612-4426
Ryan NguyenDepartment of Ecology and Evolutionary Biology, University of California , Los Angeles, CA, USA.
Marta AcácioSchool of Zoology, Tel-Aviv University , Tel Aviv, Israel.ORCID 0000-0002-9947-1181
Nili AnglisterSchool of Zoology, Tel-Aviv University , Tel Aviv, Israel.ORCID 0000-0002-6848-6348
Gideon VaadiaSchool of Zoology, Tel-Aviv University , Tel Aviv, Israel.
Orr SpiegelSchool of Zoology, Tel-Aviv University , Tel Aviv, Israel.ORCID 0000-0001-8941-3175
Noa Pinter-WollmanDepartment of Ecology and Evolutionary Biology, University of California , Los Angeles, CA, USA.ORCID 0000-0002-0448-8037

Funding

Division of Integrative Organismal SystemsNSF Graduate Research Fellowship ProgramUnited States-Israel Binational Science Foundation
6 · The paper itself

Abstract

Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing hypotheses about the factors determining animal interactions often involves comparing observed interactions with reference or 'null' models. One approach to accounting for spatial drivers of social interactions in reference models is randomizing animal movement paths to decouple spatial and social phenotypes while maintaining environmental effects on movements. Here, we update a reference model that detects social attraction above the effect of spatial constraints. We explore the use of our 'wrap-around' method and compare its performance to the previous approach using agent-based simulations. The wrap-around method provides reference models that are more similar to the original tracking data, while still distinguishing between social and spatial drivers. Furthermore, the wrap-around approach results in fewer false-positives than its predecessor, especially when animals do not return to one place each night but change movement foci, either locally or directionally. Finally, we show that interactions among GPS-tracked griffon vultures (

Indexed as

Social BehaviorAnimalsBehavior, AnimalFalconiformesModels, BiologicalMovementanimal movementGPS telemetrynull modelsrandomizationsocial network analysisspatial constraints

Identifiers

PMID39230446
PMCPMC11449205

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.