MARE - Marine and Environmental Sciences Centre, ISPA - Instituto Universitário, Lisbon, Portugal.
Department of Animal Biology, Faculty of Science, University of Lisbon, Lisbon, Portugal.
PLoS One. 2020 Nov 5;15(11):e0241792. doi: 10.1371/journal.pone.0241792. eCollection 2020.
Passive Acoustic Monitoring (PAM) is a non-intrusive and cost-effective method capable of providing high-resolution, long-term information on the status and health of vocal populations and communities. To successfully monitor the same species over wide geographical and temporal scales, it is necessary to characterise the range of sound variability, as well as the consistency of sound features between populations. The meagre (Argyrosomus regius, Asso 1801) is an interesting case study because recent investigations suggest a wider vocal repertoire than previously described. In this study, meagre vocalizations were recorded and analysed from a variety of settings, ranging from rearing facilities to wild populations to provide a comprehensive characterisation of its vocal repertoire, while investigating the consistency of spawning sound features between populations. All sounds presented a similar acoustic structure in their basic unit (i.e. the pulse), while an important variability was found in the number of pulses; the meagre can emit sounds made of one single pulse or many pulses (up to more than 100). High level of overlap in the Principal Component Analysis made difficult to differentiate sound type clusters. Despite this, two sound types were identifiable: knocks (sounds from 1 to 3 pulses) and long grunts (sounds with more than 29 pulses). Discriminant Analysis carried out on PCA residuals showed that knock had the highest proportion of correct placement (92% of the observations correctly placed) followed by long grunts (80%). All other previously described sound types (intermediate grunt, short grunt and disturbance sounds) could not be separated and presented low levels of correct placement, suggesting that care should be taken when defining these as independent sound types. Finally, acoustic features consistency was found in meagre grunts emitted by different populations during spawning nights; statistical differences could be explained by recording settings and fish conditions. The results of this study provide important information for fostering PAM programs of wild meagre populations, while contributing to the discussion around the definition of fish sound types in vocal fish communities. Studies of this kind, which evaluate both variability and consistency of sound features, are of fundamental importance for maximising PAM efforts in the wild, at both the specific and the community level.
被动声学监测 (PAM) 是一种非侵入性且具有成本效益的方法,能够提供有关发声种群和群落状态和健康的高分辨率、长期信息。为了在广泛的地理和时间尺度上成功监测同一物种,有必要描述声音可变性的范围,以及种群之间声音特征的一致性。灰鲷 (Argyrosomus regius, Asso 1801) 是一个有趣的案例研究,因为最近的研究表明,它的发声 repertoire 比以前描述的要广泛。在这项研究中,从养殖设施到野生种群等各种环境中记录和分析了灰鲷的发声,以全面描述其发声 repertoire,并研究种群之间产卵声音特征的一致性。所有声音在其基本单元(即脉冲)中都呈现出相似的声学结构,而在脉冲数量上存在重要的可变性;灰鲷可以发出由单个脉冲或多个脉冲组成的声音(多达 100 多个)。主成分分析中的高度重叠使得难以区分声音类型聚类。尽管如此,还是可以识别出两种声音类型:敲击声(由 1 到 3 个脉冲组成的声音)和长呼噜声(由 29 个以上脉冲组成的声音)。对主成分分析残差进行判别分析表明,敲击声的正确放置比例最高(92%的观察结果正确放置),其次是长呼噜声(80%)。其他以前描述的声音类型(中级呼噜声、短呼噜声和干扰声)无法分离,且正确放置的比例较低,这表明在将这些声音定义为独立的声音类型时应谨慎。最后,在产卵期间,不同种群发出的灰鲷呼噜声具有声学特征一致性;统计差异可以通过记录设置和鱼类状况来解释。这项研究的结果为促进野生灰鲷种群的 PAM 计划提供了重要信息,同时也为讨论鱼类发声群落中鱼类声音类型的定义做出了贡献。这种评估声音特征可变性和一致性的研究对于最大限度地提高野生鱼类的 PAM 效果至关重要,无论是在特定种群还是在群落水平上。