Active sound production of scarab beetle larvae opens up new possibilities for species-specific pest monitoring in soils
Autor: | Carolyn-Monika Goerres, David Chesmore |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
lcsh:Medicine Zoology Biology Article Automation Soil 03 medical and health sciences 0302 clinical medicine Species Specificity Abundance (ecology) Forest ecology Animals lcsh:Science Scarabaeidae Larva Multidisciplinary Cockchafer lcsh:R Stridulation Biodiversity 15. Life on land biology.organism_classification Data processing Coleoptera Sound 030104 developmental biology Tape Recording Instar lcsh:Q PEST analysis Vocalization Animal Agroecology 030217 neurology & neurosurgery Environmental Monitoring |
Zdroj: | Scientific Reports Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019) |
ISSN: | 2045-2322 |
DOI: | 10.1038/s41598-019-46121-y |
Popis: | 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. |
Databáze: | OpenAIRE |
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