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Acoustic Presence of Dolphins through Whistles Detection in Mediterranean Shallow Waters
Journal of Marine Science and Engineering ( IF 2.9 ) Pub Date : 2021-01-13 , DOI: 10.3390/jmse9010078
Martina Gregorietti , Elena Papale , Maria Ceraulo , Clarissa de Vita , Daniela Silvia Pace , Giorgio Tranchida , Salvatore Mazzola , Giuseppa Buscaino

The evaluation of acoustic temporal rhythms in wide-ranging cetaceans can reveal patterns in animal spatial presence and the occurrence of periodical phenomena. Here, we aimed at assessing the temporal patterns of dolphin’s acoustic presence in a shallow-water area in the Sicily Strait (Mediterranean Sea). Whistles were collected continuously for 14 months from an acoustic monitoring station installed aboard of an elastic seamark. Over a total of 6955 h of recording, 14,048 signals were identified using both automatic and visual methods. Three parameters were analyzed: hourly presence (HP), used as a proxy of the presence of dolphins in the area; detection rate (DR), indicating the acoustic activity rate of dolphins measured per hour in the entire dataset; and detection rate in presence of dolphins (DRD), indicating the acoustic activity rate of dolphins considering only the hours when whistles were recorded. The highest values of both HP and DR were reached during the night, and the Autumn and Winter months, suggesting an increase in the dolphin’s occurrence and a possible moving away and towards the monitoring station potentially following prey. DRD, instead, showed an almost uniform distribution throughout the day implying that when the animals are close to the monitoring station, the acoustic activity does not show any pattern. However, possible changes in the communication exchange along the seasons were suggested. This study complements other work on this subject, improving the knowledge of dolphins’ acoustic activity in the area.

中文翻译:

通过口哨检测在地中海浅水区海豚的声学存在

评估大范围鲸类的听觉时间节律可以揭示动物空间存在的模式和周期性现象的发生。在这里,我们旨在评估海豚在西西里海峡(地中海)浅水区的声音存在的时间模式。从安装在弹性海标上的声音监测站连续收集口哨14个月。在总共6955小时的记录中,使用自动和可视方法识别了14,048个信号。分析了三个参数:每小时存在(HP),用作该区域海豚存在的代理;检测率(DR),表示整个数据集中每小时测量的海豚的声活动率;和在海豚存在下的检出率(DRD),表示仅考虑记录口哨的小时数的海豚声活动率。在夜间以及秋季和冬季月份都达到了最高的HP和DR值,这表明海豚的发生率增加,并且有可能随着猎物的移动而移向监测站。相反,DRD整日显示几乎均匀的分布,这意味着当动物靠近监测站时,声音活动不会显示任何模式。但是,建议在各个季节进行交流时可能会发生变化。这项研究补充了有关该主题的其他工作,从而提高了该地区海豚声活动的知识。在夜间以及秋季和冬季月份都达到了最高的HP和DR值,这表明海豚的发生率增加,并且有可能随着猎物的移动而移向监测站。相反,DRD整日显示几乎均匀的分布,这意味着当动物靠近监测站时,声音活动不会显示任何模式。但是,建议在各个季节进行交流时可能会发生变化。这项研究补充了有关该主题的其他工作,从而提高了该地区海豚声活动的知识。在夜间以及秋季和冬季月份都达到了最高的HP和DR值,这表明海豚的发生率增加,并且有可能随着猎物的移动而移向监测站。相反,DRD整日显示几乎均匀的分布,这意味着当动物靠近监测站时,声音活动不会显示任何模式。但是,建议在各个季节进行交流时可能会发生变化。这项研究补充了有关该主题的其他工作,从而提高了该地区海豚声活动的知识。表现出全天几乎均匀的分布,这意味着当动物靠近监测站时,声音活动不会显示任何模式。但是,建议在各个季节进行交流时可能会发生变化。这项研究补充了有关该主题的其他工作,从而提高了该地区海豚声活动的知识。表现出全天几乎均匀的分布,这意味着当动物靠近监测站时,声音活动不会显示任何模式。但是,建议在各个季节进行交流时可能会发生变化。这项研究补充了有关该主题的其他工作,从而提高了该地区海豚声活动的知识。
更新日期:2021-01-13
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