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首页> 外文期刊>Landscape and ecological engineering >Dominant power spectrums as a tool to establish an ecoacoustic baseline in a premontane moist forest
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Dominant power spectrums as a tool to establish an ecoacoustic baseline in a premontane moist forest

机译:优势功率谱可作为在山前湿润森林中建立生态声基线的工具

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摘要

The establishment of a soundscape baseline might allow the rapid detection of significant environmental changes and could potentially be a holistic instrument for biome conservation. Due to the diversity and variability of the sounds produced in an ecosystem, the establishment of a baseline is complex. Thus we evaluated if, in an ever-changing soundscape, it was possible to find dominant acoustic features on a monthly and hourly scale. Dominant power spectrums (PSs) in an area of premontane moist forest were identified by correlating PSs from February to December 2015, calculating the linear correlation between them, and defining a set of PSs that were strongly correlated (Pearson=0.95) to most of the obtained PSs. For any two PSs, the Pearson coefficient=0.95 accounted for an equivalence relation between the PSs; these relations allowed us to group spectrums into a few sets. In the daytime, 7.3% (eight out of 109 PSs) of the PSs (i.e., the dominant spectrums) were strongly correlated to 80.7% of the obtained PSs; the remaining 19.3% were singular PSs, weakly correlated to other diurnal PSs. During the night, 6.06% (four out of 66 PSs) of the PSs (i.e., the dominant spectrums) were strongly correlated to 53.0% of the obtained PSs; the remaining 47.0% were singular PSs, weakly correlated to other nocturnal PSs. Strong correlations between the PSs on an hourly scale and monthly scale could be used to denote features that prevail over time. The occurrence of strong associations between PSs (i.e.,0.98) in spectrums from different months suggests that the generation of sound in the studied forest has a well-defined frequency distribution.
机译:建立音景基线可以快速检测出重大的环境变化,并有可能成为生物群落保护的整体手段。由于生态系统中产生的声音的多样性和可变性,基线的建立很复杂。因此,我们评估了在一个不断变化的音景中,是否有可能在每月和每小时的规模上找到主要的声学特征。通过将2015年2月至2015年12月的PS进行相关性计算,计算它们之间的线性相关性,并定义一组与大部分山峰之间强烈相关(Pearson> = 0.95)的PS,可以识别出山前湿润森林地区的主要功率谱(PS)。获得的PS。对于任何两个PS,Pearson系数> = 0.95都说明了PS之间的等价关系。这些关系使我们可以将频谱分为几组。在白天,有7.3%(109个PS中的8个)PS(即主频谱)与获得的PS的80.7%高度相关;其余的19.3%是奇异的PS,与其他昼间PS的相关性较弱。夜间,有6.06%(66个PS中有四个)的PS(即主频谱)与获得的PS的53.0%高度相关;其余47.0%是奇异PS,与其他夜间PS弱相关。每小时和每月尺度上的PS之间的强相关性可以用来表示随时间推移而普遍存在的特征。在不同月份的频谱中,PS之间有很强的关联(即> 0.98),这表明在研究的森林中声音的产生具有明确的频率分布。

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