Geographic variation in Northwest Atlantic fin whale (Balaenoptera physalus) song: Implications for stock structure assessment

Geographic variation in Northwest Atlantic fin whale (Balaenoptera physalus) song: Implications for stock structure assessment
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DOI:
10.1121/1.3068454
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发表时间:
2009-03-01
影响因子:
2.4
通讯作者:
Di Iorio, Lucia
Di Iorio, Lucia
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Delarue, Julien;Todd, Sean K.;Di Iorio, Lucia

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被动声学数据越来越多地被用作帮助确定海洋哺乳动物种群和种群的工具。长须鲸(Balaenoptera Physalus)的歌声为确定种群间的差异提供了一个独特的机会。他们高度定型的脉搏间间隔已经被证明在不同的地理区域是不同的,并且在一些地区随着时间的推移保持稳定。在这项研究中,比较了在圣劳伦斯湾(GSL)和缅因湾(GM)两个地理位置相近的觅食聚集地记录的歌声的结构。2005年9月至2006年2月在GSL进行了录音,2006年1月至2007年9月在GoM的两个地点断断续续地进行了录音。测量了对应于19首GSL和29首GoM歌曲的6257个脉冲间隔,以表征这两个地区的歌曲。分类树显示,GSL歌曲与GoM中的歌曲有显著差异。这一结果与其他种群结构评估方法得出的结果一致,例如化学签名和光鉴定分析,表明这些地区的长须鲸可能形成单独的管理种群。因此,SING结构分析可以为确定与长须鲸管理目标有关的时间和地理尺度上的保护单位提供一个有用和有成本效益的工具。
Passive acoustic data are increasingly being used as a tool for helping to define marine mammal populations and stocks. Fin whale (Balaenoptera physalus) songs present a unique opportunity to determine interstock differences. Their highly stereotyped interpulse interval has been shown to vary between geographic areas and to remain stable over time in some areas. In this study the structure of songs recorded at two geographically close feeding aggregations in the Gulf of St. Lawrence (GSL) and Gulf of Maine (GoM) was compared. Recordings were made from September 2005 through February 2006 in the GSL and intermittently between January 2006 and September 2007 at two locations in the GoM. 6257 pulse intervals corresponding to 19 GSL and 29 GoM songs were measured to characterize songs from both areas. Classification trees showed that GSL songs differ significantly from those in the GoM. The results are consistent with those derived from other stock structure assessment methodologies, such as chemical signature and photoidentification analysis, suggesting that fin whales in these areas may form separate management stocks. Song structure analysis could therefore provide a useful and cost-efficient tool for defining conservation units over temporal and geographical scales relevant to management objectives in fin whales.