Cited by 5Animal Vocal Communication and BehaviorAmphibian and Reptile BiologyWildlife Ecology and Conservation

The low-frequency vocal repertoire of adult African dwarf crocodiles

Staniewicz, Agata, McCabe, Gráinne, Holderied, Marc·2023·African Journal of Herpetology

Abstract

Acoustic techniques are rapidly becoming powerful tools for species monitoring and biodiversity assessment. These methods can be particularly appropriate for forest-dwelling crocodiles which are difficult to survey visually. However, basic vocal-repertoire data is lacking for many of the poorly known species. Here, we used passive acoustic recorders to capture 97 spontaneous vocal signals from a pair of captive adult African dwarf crocodiles (Osteolaemus tetraspis). We catalogued their acoustic repertoire and compared the calls recorded in captivity with 201 suspected wild O. tetraspis calls recorded in Gabon to determine whether the wild calls belonged to the same species. Captive and wild crocodiles produced the same four types of calls, not previously identified in other crocodylids. Short, low-frequency “drums” (31±12 Hz), longer, low-frequency “rumbles” (40 ± 14 Hz), as well as higher frequency “moos” (299 ± 133 Hz) and “gusts” (219 ± 108 Hz). Our results provide reference for species identification and support implementation of acoustic-based methods for African dwarf crocodile monitoring and conservation assessment. The data can further contribute to landscape-wide biodiversity monitoring and counter-poaching activities, as well as improving our understanding of crocodilian ecology and behaviour.

Integrity signals

Registry

Crossref · 10.1080/21564574.2023.2237035

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent advances in bioacoustic technology have enabled identification of low frequency underwater signals including moos, rumbles, drums, gusts and moans.

    “Additionally, recent advances in bioacoustic technology have enabled identification of low frequency underwater signals including moos, rumbles, drums, gusts and moans (Staniewicz et al. 2022, 2023).”
  • The 'Moo' reported by Staniewicz et al. (2023) and Wang et al. (2007) appeared to exhibit distinct spectrographic characteristics, suggesting they may represent acoustically different call types.

    “Upon examination of the spectrograms, the signal, referred to as a ‘Moo’ by both Staniewicz et al. (2023) and Wang et al. (2007) appeared to exhibit distinct spectrographic characteristics, suggesting it may represent acoustically different call types.”

The citation lists haven’t been fetched yet

References 37 · Cited by 5

Authors
Staniewicz, A., McCabe, G., & Holderied, M.
Affiliations
  • University of Bristol (GB)
  • Bristol Zoological Society (GB)
Corresponding author
Staniewicz, Agata
Venue
African Journal of Herpetology
Published
2023-08-13
Volume
72
Issue
2
Pages
103-118
ISSN
  • 2153-3660 (ISSN-L)
  • 2156-4574
OpenAlex
W4385808990
Cited by
5
References
37
Citations by year
2026: 1 · 2025: 2 · 2024: 2
FWCI
1.23
Type
journal article
Language
en
Open access
closed
Locations
  • African Journal of Herpetology (publishedVersion)
  • Explore Bristol Research (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Developmental Biology › Animal Vocal Communication and Behavior
  • Physical Sciences › Environmental Science › Global and Planetary Change › Amphibian and Reptile Biology
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
Keywords
Osteolaemus tetraspis, low-frequency calls, acoustic species identification, passive acoustic monitoring, crocodile conservation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review