Acoustic indices for biodiversity assessments: Analyses of bias based on simulated bird assemblages and recommendations for field surveys
Acoustic indices for biodiversity assessments: Analyses of bias based on simulated bird assemblages and recommendations for field surveys
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DOI：
10.1016/j.biocon.2015.06.018
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发表时间：
2015-11-01
影响因子：
5.9
通讯作者：
Sueur, J.
中科院分区：
文献类型：
--
作者：
Gasc, A.;Pavoine, S.;Sueur, J.
快速声学调查的目的是根据动物群落发出的声音的多样性来估计生物多样性，保护规划者对这种方法的兴趣正在增加。人们提出了几种声音多样性指标作为物种丰富度的替代指标。然而，在野外，动物活动可能在不同程度上对声学多样性负责。为了评估声音多样性测量值与实际物种丰富度的偏差，我们选择了7个声学指数，并将它们应用于不同野外条件下鸟类组合的模拟记录。对于给定的声音（这里定义为物种组合发出的歌曲组合），我们确定指数是否仅由动物声音驱动，ii)对物种身份不敏感，iii)独立于物种均匀性。在野外评价条件下，这些指标均不满足作为物种丰富度指标的三个标准。然而，在更广泛的定义下，包括多样性的系统发育和/或功能方面，一些指数可能适合作为生物多样性的衡量标准。提出了在野外条件下应用这些指标进行生物多样性测量的建议，如使用适当的音频滤波器，提高录音的重复率，以及识别记录群落中发生的主要分类类群。(C) 2015年Elsevier Ltd.出版
Rapid acoustic surveys aim to estimate biodiversity based on the diversity of sounds produced by animal communities, and interest in this approach among conservation planners is increasing. Several indices of acoustic diversity have been proposed as proxies for species richness. However, in the field, the animal activity may be responsible for acoustic diversity to varying degrees. To evaluate how measures of acoustic diversity may depart from actual species richness, we selected seven acoustic indices and applied them to simulated recordings of bird assemblages under different field conditions. For a given sound, defined here as the song composition emitted by a species assemblage, we determined if the indices were i) only driven by animal sounds, ii) insensitive to species identity, and iii) independent of species evenness. Under the field conditions evaluated, none of the indices fulfilled the three criteria necessary for a perfect proxy of species richness. However, some indices may be appropriate as a measure of biodiversity under a more broad definition including phylogenetic and/or functional aspects of diversity. We provide recommendations for the application of these indices for biodiversity measurement under field conditions, such as the application of appropriate audio filters, the increase of the repetition rate of the recordings, and the identification of the main taxonomic groups occurring in the recorded communities. (C) 2015 Published by Elsevier Ltd.