Evidence map›Paper›PMID 30668600›Full record

ArticlePloS one2019

Song variation of the South Eastern Indian Ocean pygmy blue whale population in the Perth Canyon, Western Australia.

Capri D Jolliffe, Robert D McCauley, Alexander N Gavrilov, K Curt S Jenner, Micheline-Nicole M Jenner, Alec J Duncan

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In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Capri D JolliffeCentre Marine Science and Technology, Curtin University, Perth, Western Australia, Australia.
Robert D McCauleyCentre Marine Science and Technology, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-7401-8751
Alexander N GavrilovCentre Marine Science and Technology, Curtin University, Perth, Western Australia, Australia.
K Curt S JennerCentre for Whale Research (WA) Inc., Fremantle, Western Australia, Australia.
Micheline-Nicole M JennerCentre for Whale Research (WA) Inc., Fremantle, Western Australia, Australia.
Alec J DuncanCentre Marine Science and Technology, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-2179-727X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea noise collected over 2003 to 2017 from the Perth Canyon, Western Australia was analysed for variation in the South Eastern Indian Ocean pygmy blue whale song structure. The primary song-types were: P3, a three unit phrase (I, II and III) repeated with an inter-song interval (ISI) of 170-194 s; P2, a phrase consisting of only units II & III repeated every 84-96 s; and P1 with a phrase consisting of only unit II repeated every 45-49 s. The different ISI values were approximate multiples of each other within a season. When comparing data from each season, across seasons, the ISI value for each song increased significantly through time (all fits had p << 0.001), at 0.30 s/Year (95%CI 0.217-0.383), 0.8 s/Year (95%CI 0.655-1.025) and 1.73 s/Year (95%CI 1.264-2.196) for the P1, P2 and P3 songs respectively. The proportions of each song-type averaged at 21.5, 24.2 and 56% for P1, P2 and P3 occurrence respectively and these ratios could vary by up to ± 8% (95% CI) amongst years. On some occasions animals changed the P3 ISI to be significantly shorter (120-160 s) or longer (220-280 s). Hybrid song patterns occurred where animals combined multiple phrase types into a repeated song. In recent years whales introduced further complexity by splitting song units. This variability of song-type and proportions implies abundance measure for this whale sub population based on song detection needs to factor in trends in song variability to make data comparable between seasons. Further, such variability in song production by a sub population of pygmy blue whales raises questions as to the stability of the song types that are used to delineate populations. The high level of song variability may be driven by an increasing number of background whale callers creating 'noise' and so forcing animals to alter song in order to 'stand out' amongst the crowd.

Indexed as

AnimalsBalaenopteraIndian OceanNoiseSeasonsSound SpectrographyVocalization, AnimalWestern Australia

Identifiers

PMID30668600
PMCPMC6342329

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