Evidence map›Paper›PMID 40691214›Full record

ArticleScientific reports2025

Passive acoustic monitoring reveals seasonal patterns in European green toad calling activity but fails to accurately reflect population abundance.

Mikołaj Kaczmarski, Jan M Kaczmarek, Agata Radzińska, Michał Budka

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mikołaj KaczmarskiDepartment of Zoology, Poznan University of Life Sciences, Wojska Polskiego 71C, Poznan, 60-625, Poland.ORCID http://orcid.org/0000-0002-3341-0933
Jan M KaczmarekOpole Landscape Parks Complex, Pokrzywna 11, Jarnołtówek, 48-267, Poland.ORCID http://orcid.org/0000-0002-4152-6928
Agata RadzińskaDepartment of Zoology, Poznan University of Life Sciences, Wojska Polskiego 71C, Poznan, 60-625, Poland.
Michał BudkaDepartment of Behavioural Ecology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, Poznań, 61-614, Poland. m.budka@amu.edu.pl.ORCID http://orcid.org/0000-0002-1244-013X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amphibians are among the most endangered groups of vertebrates worldwide; therefore, effective population monitoring is crucial for understanding the factors driving these unfavourable trends. In this study, we evaluated the effectiveness of fully automated passive acoustic monitoring in estimating the distribution and population size of the European green toad (Bufotes viridis)-an anuran species in which males vocalize intensively during the breeding season. We conducted visual counts with human observers, recorded the soundscape using autonomous sound recorders, applied automatic call detection, and calculated soundscape complexity using acoustic indices adjusted to the frequency range of European green toad vocalizations. Our algorithm generated a calling intensity index, which detected 36% of calls with 96% precision. The calling intensity index showed a significant correlation with the number of calls detected manually (r = 0.727). Additionally, we found moderate but significant correlations between acoustic indices (Acoustic Complexity Index and Bioacoustic Index) and both the manually and automatically detected call counts. The calling intensity index and acoustic indices did not significantly correlate with the number of males counted by human observer, but they reflected the phenological changes in species' reproductive activity. Our study demonstrates that passive acoustic monitoring enables the assessment of presence and distribution of the European green toad, as well as daily and seasonal patterns in calling activity. However, due to the specific biology and ecology of the species, calling intensity alone is insufficient for accurately estimating male abundance.

Indexed as

AcousticsBufonidaeSeasonsVocalization, AnimalAnimalsMalePopulation DensityAcoustic indicesAmphibian abundanceAnuraSoundscapeToad callsUrban environment

Identifiers

PMID40691214
PMCPMC12279945

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LicenceCC BY-NC-ND
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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.