Evidence map›Paper›PMID 40501130›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2025

Temporal patterns of Amazonian insect acoustic activity.

Nia Howells, Alexander Charles Lees, Jos Barlow, Erika Berenguer, Liana Chesini Rossi, Jérôme Sueur, Martin J Sullivan, Yan Gabriel Ramos, Oliver C Metcalf

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025. 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. Temporal patterns of Amazonian insect acoustic activity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  3. Tuning into nature: the sonic boost transforming tropical biodiversity research.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    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

9 authors.

Nia HowellsDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK.
Alexander Charles LeesDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK.
Jos BarlowLancaster Environment Centre, Lancaster University, Lancaster, Lancashire, UK.
Erika BerenguerLancaster Environment Centre, Lancaster University, Lancaster, Lancashire, UK.ORCID 0000-0001-8157-8792
Liana Chesini RossiJardim Botanico do Rio de Janeiro, Rio de Janeiro, Brazil.
Jérôme SueurMuseum National d'Histoire Naturelle, Paris, Île-de-France, France.
Martin J SullivanDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK.
Yan Gabriel RamosAiuká Consultoria em Soluções Ambientais, Forte Praia Grande, São Paulo CEP 11700-280, Brazil.
Oliver C MetcalfDepartment of Natural Sciences, Manchester Metropolitan University, Manchester, M1 5GD, UK.ORCID 0000-0003-3441-2591

Funding

Conselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFondation BNP ParibasNatural Environment Research Council
6 · The paper itself

Abstract

Insects are one of the most diverse taxa and are fundamental to the delivery of many ecosystem services. Despite their global ubiquity and ecological importance, there is little research on temporal variation in insect activity, especially in the tropics where the group is most diverse. Gaps in our knowledge of insects are compounded by a lack of robust methods to monitor their activity at fine timescales. Ecoacoustic techniques have emerged as an effective means to monitor a range of taxa over long periods. Here, we assess insect acoustic activity in the eastern Brazilian Amazon across daily and seasonal cycles over 2 years. We relate acoustic indices to two subsets of manually assessed activity-sonotype diversity and spectrogram coverage. We find evidence for daily and seasonal periodicity, with both the spectrogram coverage and number of insect sonotypes higher nocturnally. Insect acoustic activity peaks during the dry season. Of the five acoustic indices used, the Bioacoustic Index best predicted acoustic insect activity across both metrics. Our results indicate that passive acoustic monitoring can be an effective tool for assessing broad trends in insect phenology.This article is part of the theme issue 'Acoustic monitoring for tropical ecology and conservation'.

Indexed as

InsectaVocalization, AnimalAcousticsAnimalsBrazilSeasonsacoustic indicesecoacousticsinsectsOrthopterapassive acoustic monitoringtropical forests

Identifiers

PMID40501130
PMCPMC12159672

What Socratic 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 Socratic graph.