ArticleScientific reports2019
Active sound production of scarab beetle larvae opens up new possibilities for species-specific pest monitoring in soils.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Audio signal analysis using a modified forward-forward algorithm with enhanced segmentation for soil pest detection.Scientific reports · 2025Article
- A review of ultrasound monitoring applications in agriculture.Frontiers in plant science · 2025Review
- Sonic restoration: acoustic stimulation enhances plant growth-promoting fungi activity.Biology letters · 2024Article
- Monitoring soil fauna with ecoacoustics.Proceedings. Biological sciences · 2024Review
- Ecology & computer audition: Applications of audio technology to monitor organisms and environment.Heliyon · 2024Review
- Temporal and spatial dynamics in soil acoustics and their relation to soil animal diversity.PloS one · 2022Article
- Automated Applications of Acoustics for Stored Product Insect Detection, Monitoring, and Management.Insects · 2021Article
- Subterranean Acoustic Activity Patterns ofInsects · 2019Article
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2 authors.
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Abstract
Root-feeding Scarabaeidae larvae can pose a serious threat to agricultural and forest ecosystems, but many details of larval ecology are still unknown. We developed an acoustic data analysis method based on active sound production by larvae (i.e. stridulations) for gaining new insights into larval ecology. In a laboratory study, third instar larvae of the Common Cockchafer (Melolontha melolontha) (n = 38) and the Forest Cockchafer (M. hippocastani) (n = 15) kept in soil-filled containers were acoustically monitored for 5 min each, resulting in the first known stridulation recordings for each species. Subsequent continuous monitoring of three M. hippocastani larvae over several hours showed that a single larva could stridulate more than 70 times per hour, and stridulation rates increased drastically with increasing larval abundance. The new fractal dimension-based data analysis method automatically detected audio sections with stridulations and provided a semi-quantitative estimate of stridulation activity. It is the first data analysis method specifically targeting Scarabaeidae larvae stridulations in soils, enabling for the first time non-invasive species-specific pest monitoring.
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