54.4 Vleermuizen VLEN Avond Lezingen

De vierde en laatste VLEN-avond was gisteravond en is opgenomen om terug te kijken via onze site: https://vleermuis.net/meer-weten/nieuws-archief/761-vlen-avond-en-2020-4-staat-online René Janssen & Carlo Wijnen VLEN-avond[en] 2020 VLEN-avond[en] 2020
4.0 vanaf 2.18 min Edwin Houwertjes Edwin Houwertjes presenteert in een kort filmpje zijn, samen met Cor Berrevoets ontwikkelde ‘open source’ zelfbouw vleermuisdetector/recorder ontwikkeld op basis van een Teensy 3.6 developmentboard die ook spectrogrammen weergeeft van de geluiden die je ontvangt. Deze geluiden worden hoorbaar gemaakt in Heterodyne, Auto Heterodyne, Time expansion. Met het toestel kan je op een hoge samplerate opnemen en kun je hem gebruiken als logger, dus automatisch opnemen (in WAV-file) als er een ultrasoon geluid wordt gedetecteerd.
4.1 vanaf 11.44 min Johann Prescher & Dirk O

Grootoorvleermuizen leggen grote afstand af door coulissenlandschap om in moeras te foerageren.'
Tijdens onderzoek naar effectiviteit hopovers als verbinding in coulissenlandschap voor Gewone Grootoorvleermuis werd ontdekt dat deze vleermuizen lange afstanden aflegden om te foerageren in moerasgebied. Tot voor kort werd aangenomen dat Gewone Grootoorvleermuizen niet zulke grote afstanden afleggen.

4.2 vanaf 52.18 min Marc van der Sijpe

Marc van der Sijpe en Claire Hermans : 'Introductie in auto-recording en auto-identificatie en Explaination how works Tadarida and the BTO classifier of Tadarida'
Deze presentatie wordt in het Nederlands en Engels gegeven. Als eerste geeft Marc Van De Sijpe een introductie over auto- recording en auto-identificatie, waaronder Tadarida, een Open Sourceclassificatie in de programmeer- en statistiektaal R. Daarna neemt Claire ons in het Engels mee hoe Tadarida werkt, waarna ook de BTO classifier wordt gedemonstreerd, Tadarida-L (Toolbox Animal Detection on Acoustic Recordings) is HulpSoftware, Open Source een Toolbox, altruistisch geschreven door Yves Bas waarbij je zelf je eigen classifier software kunt schrijven. Het werkt adhv herkenning van signalen. Used for birds, bush crickets and bats.
In other programs you can get one ID for a wav file but now it can give more IDs onthe sound events. You get a probabilty rating for the Identification. For the final output it will summarrie it. Currently the NIOZ database is not strong enough but NIOZ wants to have identification and position of the bats.
Stewart Newson uit Norfolk heeft een Classifier geschreven voor Belgium and UK.
STewart heeft voor de UK een classifier gebouwd om de UK soorten te determineren. Classifier UK is een kleinbeetje uitbreidt met BENELUX soorten en de classifier leert van zijn fouten. https://photos.app.goo.gl/iCaBSZHkzw9cNW9K9 AutoID.Bats.OpenSource.Tadarida

4.3 vanaf 1h41min18sec Claire Hermans project: 'Light on landscape' waarbij ze vertelt over de werking van Microphone-arrays om vliegpaden van vleermuizen te reconstrueren.

French bat monitoring scheme “Vigie-Chiro” launched in 2006

This toolbox was initially developed to support the French bat monitoring scheme “Vigie-Chiro” launched in 2006 [9]. Like other PAM schemes during this period, Vigie-Chiro experienced an exponential increase in recording data. In addition, a large volume of acoustic data has been recorded for other taxa without being identified, especially for bush-crickets which did not benefit from any monitoring scheme [10, 11].

Until now, all available software for bat automatic identification were commercial and based on a very specific sound event detection process that prevented efficient bush-cricket detection. Tadarida development focused on detecting every sound event, even if they are structurally very different (e.g. bats and bush-crickets) and overlapping in time or frequency.

  1. https://www.inaturalist.org/journal/ahospers/44807-45-diy-zelfbouw-teensybat-vlen-bat-detector-recorder-vleermuis-open-source
  2. ScreenShots Lezing Tadarida
  3. Tadarida: A Toolbox for Animal Detection
  4. https://openresearchsoftware.metajnl.com/articles/10.5334/jors.154/
  5. https://www.youtube.com/watch?v=z5C3wLsyGdE&t=50m
  6. Vlen Avonden 4 Nieuws
  7. Vlen Avonden 3 Nieuws
  8. Vlen Avonden 2 Nieuws
  9. Vlen Avonden 1 Nieuws
  10. https://vleermuis.net/meer-weten/nieuws-archief/761-vlen-avond-en-2020-4-staat-online
  11. Studenten aan de UK Universiteit hebben Auto Rec hardware AudioMoth ontwikkeld (Open Acoustic Devices) een klein toestelletje dat flink aan populariteit aan het winnen is. https://www.openacousticdevices.info/audiomoth
  12. Sonochiro (Biotope) is ontwikkeld door Yves Bas maar is Tadarida-L gegaan. Aanbevolen door Petterson. Herkent 63%
  13. BatIdent is het Duitse programma van EcoCops dat bij BatCorder hoort en dat erg goed scoort op herkenning (81%).
  14. Kaleidoscoop op 71%
  15. BatExplorer is het programma van de BatLogger en herkent 53%.
  16. Bestimmung von Fledermausrufaufnahmen und Kriterien für die Wertung von akustischen Artnachweisen - Teil 1 https://www.bestellen.bayern.de/application/applstarter?APPL=eshop&DIR=eshop&ACTIONxSETVAL(artdtl.htm,APGxNODENR:34,AARTxNR:lfu_nat_003
  17. https://photos.app.goo.gl/iCaBSZHkzw9cNW9K9 AutoID.Bats.OpenSource.Tadarida

Teensy bat detector informatie mbt bouwen:


  1. Building Teensy bat detector
  2. Handleiding voor de software
  3. Manual Teensy Bat detector
  4. Microphone enhancements
  5. Teensy final.zip
  6. Teensybat schematic
  7. Ultrasonic test sound
  8. Updateing software.pdf


Github link naar de laatste software.


Forum link voor discussie.Teensy audio board to higher rates

PJRC is the fabrikant van de moederboard
54.4 Vleermuizen VLEN Avond Lezingen

Publicado por ahospers ahospers, 26 de diciembre de 2020



As static bat detectors have become more widely used, there are now many thousands of hours’ worth of nocturnal recordings captured each year from a vast spread of locations. This level of coverage has not only improved our ability to monitor bat populations, but also offers the potential to gather information on other animals that communicate at the same ultrasonic frequencies as bats. The calls of bush-crickets, for example, are commonly picked up as ‘by-catch’ during bat surveys, which has allowed the development of software that automatically recognises any cricket calls in a recording and assigns them to individual species.

In the December issue of British Wildlife, Stuart Newson, Neil Middleton and Huma Pearce explore the previously untapped potential of acoustics for the survey of small terrestrial mammals – rats, mice, voles, dormice and shrews. Small mammals use their calls for a variety of purposes, including courtship, aggressive encounters with rivals and communication between parents and their offspring. To the human ear, the high-pitched squeaks of different species sound much alike, but closer examination reveals them to be highly complex, extending beyond the range of our hearing into the ultrasonic and showing great variation in structure.

Mammal terrariums used for holding individuals overnight in the recording ‘studio’.
But is it possible to distinguish the calls of different species? To answer this question, the authors began the time-consuming task of building a call library by taking recordings of all Britain’s native (and some non-native) small mammals. Call-analysis software was then used to examine the recordings and look for consistent differences between species, with some fascinating results – the calls of shrews, for example, can be readily separated from those of rodents by their warbling/twittering quality, while the house mouse typically calls at a higher frequency than any other species. Remarkably, it appears overall that the vocalisations of most species have their own diagnostic features, and that, with care, it should be possible to identify a high proportion of calls to species level.

Recorded calls of (a) Brown & (b) Black Rats
Small mammals are unobtrusive and hard to observe, which means that even the more familiar species, such as the Brown Rat, are severely under-recorded. The ability to detect and identify small mammals by their calls therefore offers great potential to help fill gaps in our knowledge of the distribution and abundance of British species. Analysis of calls collected by static detectors – whether specifically set to target small mammals or deployed as part of a bat survey – could in future offer a rich source of data and help to complement traditional methods, such as the use of Longworth traps or footprint tunnels.

To read about the key identification features of small-mammal calls, see the December issue of British Wildlife (more information can be found on the British Wildlife website) and to accompany this article, audio clips of the species discussed are available to download here. This work will contribute to the BTO Acoustic Pipeline, which allows the upload of sound recordings and automatically detects and identifies any calls of bats, bush-crickets and small mammals. For more information about the project, see the BTO Acoustic Pipeline webpage and read comments from the authors here.

Bat detectors for small mammal survey:
Passive bat detectors are designed to be left in the field for unattended monitoring and are the ideal choice for ecologists and researchers wishing to monitor local bat populations. For similar reasons, they are also a good choice for recording small mammals as they record all frequencies continuously and retain complex details of the call structure, allowing the sounds to be analysed later using bioacoustics software. Detectors such as the Song Meter Mini, Anabat Swift and Elekon Batlogger A+ all features excellent weatherproofing, long battery life and the ability to programme recording schedules.


Publicado por ahospers hace 12 meses (Marca)

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