Evidence map›Paper›PMID 39501883›Full record

ArticleProceedings. Biological sciences2024

Global analysis of acoustic frequency characteristics in birds.

H S Sathya Chandra Sagar, Akash Anand, Maia E Persche, Anna M Pidgeon, Benjamin Zuckerberg, Çağan H Şekercioğlu, Zuzana Buřivalová

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

H S Sathya Chandra SagarDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison WI 53706, USA.ORCID 0000-0002-1183-6845
Akash AnandDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison WI 53706, USA.
Maia E PerscheDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison WI 53706, USA.
Anna M PidgeonDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison WI 53706, USA.
Benjamin ZuckerbergSchool of Biological Sciences, The University of Utah, Salt Lake UT 84112, USA.
Çağan H ŞekercioğluSchool of Biological Sciences, The University of Utah, Salt Lake UT 84112, USA.
Zuzana BuřivalováDepartment of Forest and Wildlife Ecology, University of Wisconsin, Madison WI 53706, USA.ORCID 0000-0001-5730-7546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal communication plays a crucial role in biology, yet the wide variability in vocalizations is not fully understood. Previous studies in birds have been limited in taxonomic and analytical breadth. Here, we analyse an extensive dataset of >140 000 recordings of vocalizations from 8450 bird species, representing nearly every avian order and family, under a structural causal model framework, to explore the influence of eco-evolutionary traits on acoustic frequency characteristics. We find that body mass, beak size, habitat associations and geography influence acoustic frequency characteristics, with varying degrees of interaction with song acquisition type. We find no evidence for the influence of vegetation density, sexual dimorphism, range size and competition on our measures of acoustic frequency characteristics. Our results, built on decades of researchers' empirical observations collected across the globe, provide a new breadth of evidence about how eco-evolutionary processes shape bird communication.

Indexed as

BirdsVocalization, AnimalAcousticsAnimalsBiological EvolutionEcosystemFemaleacoustic characteristicsbackdoor criteriabird songseco-evolutionary factorsstructural causal inference

Identifiers

PMID39501883
PMCPMC11538988

What OpenQuestion holds

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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.