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土壤声学的时空动态及其与土壤动物多样性的关系。

Temporal and spatial dynamics in soil acoustics and their relation to soil animal diversity.

机构信息

ETH Zurich, USYS TdLab, Zurich, Switzerland.

Institute for Computer Music and Sound Technology, Zurich University of the Arts ZHdK, Zurich, Switzerland.

出版信息

PLoS One. 2022 Mar 8;17(3):e0263618. doi: 10.1371/journal.pone.0263618. eCollection 2022.

Abstract

The observation and assessment of animal biodiversity using acoustic technology has developed considerably in recent years. Current eco-acoustic research focuses on automatic audio recorder arrays and acoustic indices, which may be used to study the spatial and temporal dynamics of local animal communities in high resolution. While such soundscapes have often been studied above ground, their applicability in soils has rarely been tested. For the first time, we applied acoustic and statistical methods to explore the spatial, diurnal, and seasonal dynamics of the soundscape in soils. We studied the dynamics of acoustic complexity in forest soils in the alpine Pfynwald forest in the Swiss canton of Valais and related them to meteorological and microclimatic data. To increase microclimatic variability, we used a long-term irrigation experiment. We also took soil samples close to the sensors on 6 days in different seasons. Daily and seasonal patterns of acoustic complexity were predicted to be associated with abiotic parameters-that is, meteorological and microclimatic conditions-and mediated by the dynamics of the diversity and activity of the soil fauna. Seasonal patterns in acoustic complexity showed the highest acoustic complexity values in spring and summer, decreasing in fall and winter. Diurnal acoustic complexity values were highest in the afternoon and lowest during the night. The measurement of acoustic diversity at the sampling site was significantly associated with soil communities, with relationships between taxa richness or community composition and acoustic complexity being strongest shortly before taking the soil samples. Our results suggest that the temporal and spatial dynamics of the diversity and community composition of soil organisms can be predicted by the acoustic complexity of soil soundscapes. This opens up the possibility of using soil soundscape analysis as a noninvasive and easy-to-use method for soil biodiversity monitoring programs.

摘要

近年来,利用声学技术对动物生物多样性进行观察和评估有了显著的发展。当前的生态声学研究集中在自动音频记录器阵列和声学指标上,这些指标可用于以高分辨率研究当地动物群落的时空动态。虽然这些声音景观通常在地面上进行研究,但它们在土壤中的适用性很少被测试。我们首次应用声学和统计方法来探索土壤中声音景观的空间、昼夜和季节性动态。我们研究了瑞士瓦莱州阿尔卑斯山 Pfynwald 森林中森林土壤的声学复杂性动态,并将其与气象和微气候数据相关联。为了增加微气候的可变性,我们使用了长期灌溉实验。我们还在不同季节的 6 天内接近传感器采集土壤样本。声学复杂性的日变化和季节变化模式被预测与生物物理参数有关,即气象和微气候条件,并受到土壤动物多样性和活动的动态调节。声学复杂性的季节模式显示出春季和夏季的最高声学复杂性值,秋季和冬季则降低。声学复杂性的日变化值在下午最高,夜间最低。采样点的声学多样性测量与土壤群落显著相关,分类群丰富度或群落组成与声学复杂性之间的关系在采集土壤样本前不久最强。我们的结果表明,土壤生物多样性监测计划可以通过土壤声音景观的声学复杂性来预测土壤生物多样性和群落组成的时空动态。这为使用土壤声音景观分析作为一种非侵入性和易于使用的土壤生物多样性监测方法开辟了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df4c/8903300/685ed4d3e69e/pone.0263618.g001.jpg

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