Evidence map›Paper›PMID 30001369›Full record

ArticlePloS one2018

Body density of humpback whales (Megaptera novaengliae) in feeding aggregations estimated from hydrodynamic gliding performance.

Tomoko Narazaki, Saana Isojunno, Douglas P Nowacek, Rene Swift, Ari S Friedlaender, Christian Ramp, Sophie Smout, Kagari Aoki, Volker B Deecke, Katsufumi Sato and 1 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  8. Diving physiology of marine mammals and birds: the development of biologging techniques.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  9. Article
  10. Review
  11. 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

11 authors.

Tomoko NarazakiSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.ORCID 0000-0003-4513-3432
Saana IsojunnoSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.
Douglas P NowacekNicholas School of the Environment and Pratt School of Engineering, Duke University Marine Laboratory, Beaufort, North Carolina, United States of America.
Rene SwiftSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.
Ari S FriedlaenderInstitute of Marine Sciences, University of California Santa Cruz, Santa Cruz, California, United States of America.
Christian RampSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.
Sophie SmoutSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.
Kagari AokiSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.
Volker B DeeckeDepartment of Science, Natural Resources and Outdoor Studies, University of Cumbria, Ambleside, United Kingdom.
Katsufumi SatoAtmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Chiba, Japan.
Patrick J O MillerSea Mammal Research Unit, University of St Andrews, Fife, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many baleen whales undertake annual fasting and feeding cycles, resulting in substantial changes in their body condition, an important factor affecting fitness. As a measure of lipid-store body condition, tissue density of a few deep diving marine mammals has been estimated using a hydrodynamic glide model of drag and buoyancy forces. Here, we applied the method to shallow-diving humpback whales (Megaptera novaeangliae) in North Atlantic and Antarctic feeding aggregations. High-resolution 3-axis acceleration, depth and speed data were collected from 24 whales. Measured values of acceleration during 5 s glides were fitted to a hydrodynamic glide model to estimate unknown parameters (tissue density, drag term and diving gas volume) in a Bayesian framework. Estimated species-average tissue density (1031.6 ± 2.1 kg m-3, ±95% credible interval) indicates that humpback whale tissue is typically negatively buoyant although there was a large inter-individual variation ranging from 1025.2 to 1043.1 kg m-3. The precision of the individual estimates was substantially finer than the variation across different individual whales, demonstrating a progressive decrease in tissue density throughout the feeding season and comparably high lipid-store in pregnant females. The drag term (CDAm-1) was estimated to be relatively high, indicating a large effect of lift-related induced drag for humpback whales. Our results show that tissue density of shallow diving baleen whales can be estimated using the hydrodynamic gliding model, although cross-validation with other techniques is an essential next step. This method for estimating body condition is likely to be broadly applicable across a range of aquatic animals and environments.

Indexed as

Body CompositionAnimalsBayes TheoremFeeding BehaviorFemaleHumpback WhaleHydrodynamicsMaleModels, BiologicalSwimming

Identifiers

PMID30001369
PMCPMC6042725

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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.