Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa
Comparative bioacoustics: a roadmap for quantifying and comparing animal sounds across diverse taxa
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DOI：
10.1111/brv.12695
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发表时间：
2021-03-02
影响因子：
10
通讯作者：
Rice, Aaron N.
中科院分区：
文献类型：
--
作者：
Odom, Karan J.;Araya-Salas, Marcelo;Rice, Aaron N.
动物发出各种各样的声音，声学结构变化很大。通过系统发育比较分析可以了解不同类群之间这种变异的原因和后果。声学和进化分析的复杂性正在迅速提高，因此选择适当的声学和进化方法变得越来越困难。然而，正确的分析选择可以对输出和进化推论产生深远的影响。在这里，我们通过为具有广泛科学背景的研究人员提供在系统发育背景下量化和比较声音的路线图，确定并解决了这个不断发展的领域面临的一些挑战。声音作为一种连续的、多维的特征，测量起来特别具有挑战性，因为很难识别可以跨分类群进行比较的变量，而且使用适合后续进化分析的方法处理和分析所得的高维声学数据也不是一件容易的事。此外，还需要考虑术语的不一致以及学习在声学特征发展中的作用。系统发育比较分析也有其自身的注意事项需要考虑。我们提供了一组将声学信号划分为离散的、可比较的声学单元的建议。我们还提出了用于提取相关声学数据的三阶段工作流程，包括与系统发育比较分析兼容的多变量分析和降维选项。然后，我们总结了可用的系统发育比较方法以及它们如何在比较生物声学中使用，并解决了行为数据比较分析的局限性。最后，我们建议如何将这些方法应用于一系列研究系统的声学数据。通过这种方式，我们提供了一个综合框架来帮助定量分析动物声音的跨类群变异，以进行比较系统发育分析。此外，我们提倡跨学科和分类单元的声学术语标准化，采用自动化方法进行声学特征提取，并为声学记录和数据分析建立强大的数据档案实践。将这些实践与我们提出的工作流程相结合将极大地提高比较生物声学研究的可重复性、生物学解释和寿命。
Animals produce a wide array of sounds with highly variable acoustic structures. It is possible to understand the causes and consequences of this variation across taxa with phylogenetic comparative analyses. Acoustic and evolutionary analyses are rapidly increasing in sophistication such that choosing appropriate acoustic and evolutionary approaches is increasingly difficult. However, the correct choice of analysis can have profound effects on output and evolutionary inferences. Here, we identify and address some of the challenges for this growing field by providing a roadmap for quantifying and comparing sound in a phylogenetic context for researchers with a broad range of scientific backgrounds. Sound, as a continuous, multidimensional trait can be particularly challenging to measure because it can be hard to identify variables that can be compared across taxa and it is also no small feat to process and analyse the resulting high-dimensional acoustic data using approaches that are appropriate for subsequent evolutionary analysis. Additionally, terminological inconsistencies and the role of learning in the development of acoustic traits need to be considered. Phylogenetic comparative analyses also have their own sets of caveats to consider. We provide a set of recommendations for delimiting acoustic signals into discrete, comparable acoustic units. We also present a three-stage workflow for extracting relevant acoustic data, including options for multivariate analyses and dimensionality reduction that is compatible with phylogenetic comparative analysis. We then summarize available phylogenetic comparative approaches and how they have been used in comparative bioacoustics, and address the limitations of comparative analyses with behavioural data. Lastly, we recommend how to apply these methods to acoustic data across a range of study systems. In this way, we provide an integrated framework to aid in quantitative analysis of cross-taxa variation in animal sounds for comparative phylogenetic analysis. In addition, we advocate the standardization of acoustic terminology across disciplines and taxa, adoption of automated methods for acoustic feature extraction, and establishment of strong data archival practices for acoustic recordings and data analyses. Combining such practices with our proposed workflow will greatly advance the reproducibility, biological interpretation, and longevity of comparative bioacoustic studies.