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利用生态声学强度和多样性指标表征近海极地海洋声景。

Characterizing offshore polar ocean soundscapes using ecoacoustic intensity and diversity metrics.

作者信息

Mattmüller Ramona M, Thomisch Karolin, Hoffman Joseph I, Van Opzeeland Ilse

机构信息

Department of Evolutionary Population Genetics, Faculty of Biology, Bielefeld University, Bielefeld 33615, Germany.

Department of Animal Behaviour, Bielefeld University, Bielefeld 33615, Germany.

出版信息

R Soc Open Sci. 2024 Aug 14;11(8):231917. doi: 10.1098/rsos.231917. eCollection 2024 Aug.

Abstract

Polar offshore environments are considered the last pristine soundscapes, but accelerating climate change and increasing human activity threaten their integrity. In order to assess the acoustic state of polar oceans, there is the need to investigate their soundscape characteristics more holistically. We apply a set of 14 ecoacoustic metrics (EAMs) to identify which metrics are best suited to reflect the characteristics of disturbed and naturally intact polar offshore soundscapes. We used two soundscape datasets: (i) the Arctic eastern Fram Strait (FS), which is already impacted by anthropogenic noise, and (ii) the quasi-pristine Antarctic Weddell Sea (WS). Our results show that EAMs when applied in concert can be used to quantitatively assess soundscape variability, enabling the appraisal of marine soundscapes over broad spatiotemporal scales. The tested set of EAMs was able to show that the eastern FS, which is virtually free from sea ice, lacks seasonal soundscape dynamics and exhibits low acoustic complexity owing to year-round wind-mediated sounds and anthropogenic noise. By contrast, the WS exhibits pronounced seasonal soundscape dynamics with greater soundscape heterogeneity driven in large part by the vocal activity of marine mammal communities, whose composition in turn varies with the prevailing seasonal sea ice conditions.

摘要

极地近海环境被视为最后的原始声景,但加速的气候变化和日益增加的人类活动威胁着它们的完整性。为了评估极地海洋的声学状态,有必要更全面地研究它们的声景特征。我们应用一组14个生态声学指标(EAMs)来确定哪些指标最适合反映受干扰的和自然完整的极地近海声景的特征。我们使用了两个声景数据集:(i)北极东部弗拉姆海峡(FS),它已经受到人为噪声的影响;(ii)近乎原始的南极威德尔海(WS)。我们的结果表明,协同应用EAMs可用于定量评估声景变异性,从而能够在广泛的时空尺度上评估海洋声景。经过测试的EAMs能够表明,几乎没有海冰的东部FS缺乏季节性声景动态,并且由于全年的风媒声音和人为噪声而呈现出低声学复杂性。相比之下,WS表现出明显的季节性声景动态,声景异质性更大,这在很大程度上是由海洋哺乳动物群落的发声活动驱动的,而其组成又随季节性海冰条件的变化而变化。

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