論文

査読有り 国際誌
2018年

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

PloS one
  • Tomoko Narazaki
  • Saana Isojunno
  • Douglas P Nowacek
  • Rene Swift
  • Ari S Friedlaender
  • Christian Ramp
  • Sophie Smout
  • Kagari Aoki
  • Volker B Deecke
  • Katsufumi Sato
  • Patrick J O Miller
  • 全て表示

13
7
開始ページ
e0200287
終了ページ
記述言語
英語
掲載種別
DOI
10.1371/journal.pone.0200287

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.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0200287
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/30001369
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042725
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000438457400042&DestApp=WOS_CPL
ID情報
  • DOI : 10.1371/journal.pone.0200287
  • ISSN : 1932-6203
  • PubMed ID : 30001369
  • PubMed Central 記事ID : PMC6042725
  • Web of Science ID : WOS:000438457400042

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