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.'
|
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'
|
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. |
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.
https://drive.google.com/drive/u/1/folders/1NRtWXN9gGVnbPbqapPHgUCFOQDGjEV1q
.
https://forum.pjrc.com/threads/38988-Bat-detector
https://forum.pjrc.com/threads/38988-Bat-detector/page25
PJRC is the fabrikant van de moederboard
54.4 Vleermuizen VLEN Avond Lezingen
https://www.nlbif.nl/bat-sounds-on-xeno-canto-gbif/ On www.xeno-canto.org a large and diverse community, with professional ornithologists and sound recordists as well as “citizen scientists” and casual observers have brought together a truly global reference database of bird sounds, with over 660.000 sound recordings of more than 10.000 bird species. Over the years the website has become an indispensable tool for everyone interested in bird song worldwide. As an example a Google Scholar search turns up 3260 results (November 1st 2021). The collection is housed on a stable institutional IT infrastructure in the Netherlands maintained by the Dutch GBIF partner Naturalis Biodiversity Center.
Communities of bat researchers and enthusiasts have steadily grown worldwide. Recently, research involving passive acoustic monitoring has surged. In fact a large portion of bat species are rarely sampled using other methods. Accessible, high-quality call libraries for bats sounds are vital for the field to progress. Currently no repository similar to Xeno-canto for bat sounds exists. For example on April 1st 2021 GBIF referred to 490 bat sounds, mostly from Europe and North America. With a larger number of bat species and recordings openly accessible on Xeno-canto, it will be possible to better train algorithms used for automatic species recognition. This will greatly improve our ability to generate baseline information on species diversity for many yet unexplored sites, but also to more effectively monitor bat species or sites of conservation interest. In addition, open access to bat vocalizations will stimulate research at larger geographical, temporal and evolutionary scales.
This project will result in a stable repository for bat sounds (Chiroptera) as an expansion of the Xeno-canto collection on www.xeno-canto.org of bird (Aves) and grasshopper (Orthoptera) sounds. The sounds and metadata will be shared through GBIF and are also available through an API.
Comentarios
https://www.nhbs.com/blog/acoustic-identification-small-mammals
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.
https://www.nhbs.com/blog/acoustic-identification-small-mammals
https://www.nlbif.nl/bat-sounds-on-xeno-canto-gbif/ On www.xeno-canto.org a large and diverse community, with professional ornithologists and sound recordists as well as “citizen scientists” and casual observers have brought together a truly global reference database of bird sounds, with over 660.000 sound recordings of more than 10.000 bird species. Over the years the website has become an indispensable tool for everyone interested in bird song worldwide. As an example a Google Scholar search turns up 3260 results (November 1st 2021). The collection is housed on a stable institutional IT infrastructure in the Netherlands maintained by the Dutch GBIF partner Naturalis Biodiversity Center.
Communities of bat researchers and enthusiasts have steadily grown worldwide. Recently, research involving passive acoustic monitoring has surged. In fact a large portion of bat species are rarely sampled using other methods. Accessible, high-quality call libraries for bats sounds are vital for the field to progress. Currently no repository similar to Xeno-canto for bat sounds exists. For example on April 1st 2021 GBIF referred to 490 bat sounds, mostly from Europe and North America. With a larger number of bat species and recordings openly accessible on Xeno-canto, it will be possible to better train algorithms used for automatic species recognition. This will greatly improve our ability to generate baseline information on species diversity for many yet unexplored sites, but also to more effectively monitor bat species or sites of conservation interest. In addition, open access to bat vocalizations will stimulate research at larger geographical, temporal and evolutionary scales.
This project will result in a stable repository for bat sounds (Chiroptera) as an expansion of the Xeno-canto collection on www.xeno-canto.org of bird (Aves) and grasshopper (Orthoptera) sounds. The sounds and metadata will be shared through GBIF and are also available through an API.
Añade un comentario