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Main Goals

Federal Research and Training Centre for Forest, Natural Hazards and Landscape / Vienna, Austria Ljubljana February 18th – 21st 2013 Biacoustic Detection of Anoplophora glabripennis Monochamus galloprovincialis and Rhynchophorus ferrugineus. Main Goals. Create a representative sound database

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Main Goals

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  1. Federal Research and Training Centre for Forest, Natural Hazards and Landscape / Vienna, AustriaLjubljana February 18th – 21st 2013Biacoustic Detection of Anoplophora glabripennisMonochamus galloprovincialisand Rhynchophorus ferrugineus

  2. Main Goals • Create a representative sound database • Create an inventory of sound types • Compile descriptive statistics of bioacousticproperties for all sound types • Test automaticspecies identification • Elaborate a real world bioacoustic test

  3. Methods Hardware • Assembling of contact microphones, preamplifiers, wiring • Assembling of PC-based recording system, Testing of soundcards and solid state recorders • Construction of sound proof recording box at BfW lab Animals • Collection of infested wood • Breeding of larvae Field work • Creation of recordings (field + lab) in various countries • Preprocessing, normalization & standardization of sound files Bioacoustic analysis • Basic inventarization of sounds • Annotation of sound events (machine + manual) • Spectrographic analysis, analysis of pulse repetition rates, etc. • Compilation of descriptive statistics (Sound Recognition Lab 2.0 Sejona R&D) • Species specific clustering of sounds Practical • Development of testing procedure

  4. I. Sound Collection • ALB: Italy (Field) • RPW: Israel (Lab+Field), Bari (Field) • Monochamus: BfW-Lab, Portugal (Field) • Contact Microphones (Elektret 0-16 kHz) • Preamplifiers (0-150 kHz) • Marantz PMD661 • PC-based HDRS with external soundcard

  5. II. Sound Inventory • ALB: breathing, feeding, moving • RPW: breathing, feeding, moving, knocking, chirps • MON: knocking, feeding, stridulation

  6. III. Properties of Sounds • Feeding sounds are loud and frequent → useful for detection in early stages of infestation • Communication sounds have sharp signatures → species identification!

  7. IV. Species Identification • Species can be identified acoustically • Accuracy depends on size of audio file collection

  8. Small and MediumTrees • Attach microphone • Create measurement series • Transfer data to computer • Extraction of suspicious sounds • Comparison with sounds in our database • Creation of measurement report 4. Positive result: • Extract larvae & verify (Visual, DNA-Test)

  9. Containers, Lorries etc. • Insert long polewithmicrophones attached • … same procedure …

  10. Check your trees! • Receive hardware + instructions • Training (optional) • Record your trees (up to 3 weeks) • Upload sound files • We will conduct a detailed bioacoustic analysis • Get results via email Positive result: • Extract larvae & verify result (Visual, DNA-Test)

  11. Acknowledgements ISRAEL Agricultural Research OrganizationThe Volcani Center Dr. Victoria Soroker Dr. Amots Mizrach Dr. Amots Hetzroni SLOVENIA NIB, Dept. of Entomology: Prof. Dr. Andrej Čokl Dr. Maja Zorović Jernej Polajnar ITALY Servizio Fitosanitario Regionedel VenetoDr. Marco Vettorazzo Stefano Palmieri Univesità di PadovaDr. Andrea Battisti Dr. Massimo Faccoli Servizio Forestale diTreviso Michele Coppe Istituto Agronomico Mediterraneo di BariDr.Anna Maria D’Onghia Univesità di BariFrancesco Porcelli AUSTRIA BFW Dr. Christian Tomiczek Philip Menschorn

  12. Contact Martin Brandstettermartin.brandstetter@bfw.gv.at Sebastian Hübner sebastian@sejona.de

  13. Dober tek!

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