在鸟类分类研究中对录音进行适当存档和参考的必要性

Rafael Dantas Lima
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摘要

对近期包括声学特征分析在内的鸟类分类研究的调查显示,尽管目前有在线公开的鸟类声音集合,但大多数研究都没有将支持其结论的声音记录存档。此外,引用鸟类声音记录时往往没有唯一的入库编号,因此无法对样本进行明确识别,其详细程度也远远低于博物馆标本或基因样本等其他类型的样本。这种缺乏数据开放性的情况和声学样本的引用方式都破坏了许多研究方法的严谨性,如果不对鸟类声音记录进行长期保存,许多宝贵的生物数据很可能会随着时间的推移而丢失。我认为,这些问题可以通过拥抱开放数据运动和采用其他领域广泛使用的一些最佳实践来轻松解决。正如研究皮肤和 DNA 序列必须分别存放在自然历史博物馆和 GenBank 等公开资料库中一样,声学性状分析分类研究中使用的声音记录也应存档在公开资料库中,作为发表相关结果的条件。涉及声音的分类学研究的作者应将其声音记录归档,并为所研究的声音记录提供唯一的入库编号,期刊和审稿人应确保作者已这样做。通过拥抱开放数据运动,鸟类声学信号研究有望变得更加透明、可复制和有用。
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The need for proper archiving and referencing of sound recordings in taxonomic studies of birds
A survey of recent taxonomic studies of birds that included acoustic trait analyses reveals that most studies have not archived the sound recordings that support their conclusions, despite the current availability of online, publicly available collections of bird sounds. In addition, bird sound recordings have often been cited without unique accession numbers that permit unambiguous sample identification and in considerably less detail than other types of samples, such as museum specimens or genetic samples. Both this lack of data openness and the way acoustic samples have been cited undermine the methodological rigor that otherwise characterizes many of these studies, and much invaluable biological data are likely to be lost over time if bird sound recordings are not archived in long-term collections. I suggest that these problems can be easily addressed by embracing the open data movement and adopting some best practices that are widely used in other fields. Just as study skins and DNA sequences are required to be deposited in publicly available collections such as natural history museums and the GenBank, respectively, sound recordings used in taxonomic studies with acoustic trait analyses should be archived in publicly available collections as a condition for publication of associated results. Authors of taxonomic studies involving sounds should archive their sound recordings and provide unique accession numbers for sound recordings examined, and journals and reviewers should ensure that authors have done so. By embracing the open data movement, research studying avian acoustic signals is expected to become more transparent, reproducible, and useful.
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