論文

査読有り
2009年1月

Comparison of stationary acoustic monitoring and visual observation of finless porpoises

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
  • Satoko Kimura
  • ,
  • Tomonari Akamatsu
  • ,
  • Kexiong Wang
  • ,
  • Ding Wang
  • ,
  • Songhai Li
  • ,
  • Shouyue Dong
  • ,
  • Nobuaki Arai

125
1
開始ページ
547
終了ページ
553
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1121/1.3021302
出版者・発行元
ACOUSTICAL SOC AMER AMER INST PHYSICS

The detection performance regarding stationary acoustic monitoring of Yangtze finless porpoises Neophocaena phocaenoides asiaeorientalis was compared to visual observations. Three stereo acoustic data loggers (A-tag) were placed at different locations near the confluence of Poyang Lake and the Yangtze River, China. The presence and number of porpoises were determined acoustically and visually during each 1-min time bin. On average, porpoises were acoustically detected 81.7 +/- 9.7% of the entire effective observation time, while the presence of animals was confirmed visually 12.7 +/- 11.0% of the entire time. Acoustic monitoring indicated areas of high and low porpoise densities that were consistent with visual observations. The direction of porpoise movement was monitored using stereo beams, which agreed with visual observations at all monitoring locations. Acoustic and visual methods could determine group sizes up to five and ten individuals, respectively. While the acoustic monitoring method had the advantage of high detection probability, it tended to underestimate group size due to the limited resolution of sound source bearing angles. The stationary acoustic monitoring method proved to be a practical and useful alternative to visual observations, especially in areas of low porpoise density for long-term monitoring.

リンク情報
DOI
https://doi.org/10.1121/1.3021302
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000262672600064&DestApp=WOS_CPL
ID情報
  • DOI : 10.1121/1.3021302
  • ISSN : 0001-4966
  • Web of Science ID : WOS:000262672600064

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