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Spatial Soundscape Ecology: Application in a Paleotropical Rainforest

机译:空间声景生态学:在古热带雨林中的应用

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The world’s biodiversity is declining with much of the decrease attributed to human activity. The paleotropical rainforests of Borneo contribute 10% of the world biodiversity but are at risk of destruction due to logging and other human interests. Soundscape ecology, defi ned as the study of the composition of sounds in an environment, is a new fi eld that offers solutions for assessing biodiversity and disturbance. Spatial dynamics are an important component of an ecosystem, yet the link between spatial dynamics and soundscapes has not yet been studied. It should be possible to assess disturbance of an ecosystem by analyzing the spatial structure of the soundscape. Particularly, soundscapes in undisturbed ecosystems should exhibit more spatial autocorrelation than soundscapes in disturbed ecosystems. We took automated bihourly 10-minute recordings at a disturbed (n = 4,905) and an undisturbed (n = 8,450) transect in Brunei, Borneo, for a month-long period. Sites had identical spatial configurations, with 13 recorders at each site. Alpha acoustic indices were computed from recorded sound files, and beta acoustic indices were calculated pairwise for each 13 recorder group at each unique recording time. Moran’s I statistics were calculated to compare the resultant alpha indices from the two transects. We compared beta indices by Mantel Tests. Spatial statistics on alpha and beta indices reveal more spatial autocorrelation and correlation at the undisturbed site. Of all alpha indices, Normalized Difference Soundscape Index (NDSI) detected spatial autocorrelation to the highest extent. Beta acoustic indices detected differences between the two sites more precisely, due to their comparative nature.
机译:世界生物多样性正在下降,其中很大一部分归因于人类活动。婆罗洲的古热带雨林占世界生物多样性的10%,但由于伐木和其他人类利益而面临被破坏的风险。定义为对环境中的声音成分进行研究的Soundscape生态学是一个新领域,为评估生物多样性和干扰提供解决方案。空间动力学是生态系统的重要组成部分,但尚未研究空间动力学与声景之间的联系。通过分析声景的空间结构,应该有可能评估生态系统的干扰。特别是,不受干扰的生态系统中的声景应该比受干扰的生态系统中的声景表现出更多的空间自相关性。我们在婆罗洲文莱的一个受干扰的断面(n = 4,905)和不受干扰的断面(n = 8,450)上进行了每两小时10分钟的自动记录,为期一个月。站点具有相同的空间配置,每个站点有13个记录器。从记录的声音文件中计算出α声学指数,并在每个唯一的记录时间对每个13个记录器组成对计算出β声学指数。计算了Moran的I统计量,以比较两个样线的合成alpha指数。我们通过Mantel测试比较了beta指数。有关alpha和beta指数的空间统计数据表明,在不受干扰的位置上存在更多的空间自相关和相关性。在所有的Alpha索引中,归一化音域音景索引(NDSI)在最大程度上检测到了空间自相关。由于它们的比较性质,Beta声指数更精确地检测到两个位置之间的差异。

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