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Baseline data for automated acoustic monitoring of Orthoptera in a Mediterranean landscape, the Hymettos, Greece

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Abstract

Acoustic emissions of animals serve communicative purposes and most often contain species-specific and individual information exploitable to listeners, rendering bioacoustics a valuable tool for biodiversity monitoring. Recording bioacoustic signals allows reproducible species identification. There is a great need for increased use and further development of automated animal sound recording and identification to improve monitoring efficiency and accuracy for the benefit of conservation. Greece, with its high number of endemic species, represents a hotspot for European Biodiversity, including Orthopteran insects. Songs of many Orthoptera might be employed for the inventorying and monitoring of individual species and communities. We assessed the regional spatio-temporal composition of Orthoptera species at the Hymettos near Athens, which is a Natura 2000 site under constant threat due to the surrounding megacity. Within the framework of the EU Life Plus funded AmiBio project, we documented the Orthopteran species’ habitat characteristics, their co-occurrence and phenology. We found, in total, 20 species with seven to ten Orthoptera at locations characterised by diverse vegetation patterns of perennial herbs and bushes. For the purposes of implementation of an automated remote monitoring scheme, we identified sampling sites with high Orthopteran diversity, allowing the monitoring of all singing Orthoptera within single localities. By analysing sound depositories and adding recordings from new sample individuals, we established a song library as prerequisites for future automatic song detection. Based on our results, acoustic recording units have been placed at remote sites at the Hymettos. We discuss recommendations for further studies to fully employ the potential of automated acoustic monitoring of Orthoptera. A reliable assessment of singing Orthoptera needs recording units covering ultrasound. Due to high attenuation and absorbance by the vegetation, particularly of the high frequencies characterising Orthopteran songs, positioning of microphones at sites is critical: the microphone sensor network has to be an order of magnitude denser than for monitoring birds.

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Acknowledgments

This work was supported by the LIFE Program AmiBio “Automatic Acoustic Monitoring and Inventorying of Biodiversity”, Grant LIFE 08 NAT/GR/000539. We thank Olaf Jahn, who was responsible for coordinating the AmiBio project, Ulrich Marckmann for help in the field, the director of the SPAY program in Athens for hospitality and support during our field studies. Paul Grant was a helpful companion on a cursorial excursion in November 2011. Finally, we thank Michael Reichert for improving the English. The final version was profited by helpful comments of two anonymous referees and the editor John Dover.

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Authors and Affiliations

  1. Zoologisches Forschungsmuseum Alexander Koenig, Adenauerallee 160, 53113, Bonn, Germany

    Gerlind U. C. Lehmann & Klaus Riede

  2. Department of Biology, Behavioral Physiology, Humboldt-Universität zu Berlin, Invalidenstrasse 43, 10115, Berlin, Germany

    Gerlind U. C. Lehmann

  3. Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstrasse 43, 10115, Berlin, Germany

    Karl-Heinz Frommolt

  4. Friedensallee 37, 14532, Stahnsdorf, Germany

    Arne W. Lehmann

Authors
  1. Gerlind U. C. Lehmann
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  2. Karl-Heinz Frommolt
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  3. Arne W. Lehmann
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  4. Klaus Riede
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Correspondence to Gerlind U. C. Lehmann.

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Lehmann, G.U.C., Frommolt, KH., Lehmann, A.W. et al. Baseline data for automated acoustic monitoring of Orthoptera in a Mediterranean landscape, the Hymettos, Greece. J Insect Conserv 18, 909–925 (2014). https://doi.org/10.1007/s10841-014-9700-2

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  • DOI: https://doi.org/10.1007/s10841-014-9700-2

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