Editor-in-Chief: Denys, Christiane
IMPACT FACTOR 2015: 0.538
5-year IMPACT FACTOR: 0.786
SCImago Journal Rank (SJR) 2015: 0.482
Source Normalized Impact per Paper (SNIP) 2015: 0.555
Impact per Publication (IPP) 2015: 0.723
Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach
11. Swiss Federal Research Institute WSL, Research Department Landscape CH-8903 Birmensdorf (Switzerland)
32. Swiss Federal Research Institute WSL, Research Department Landscape CH-8903 Birmensdorf (Switzerland)
53. Bat Protection Kt SO. c/o Museum of Natural History Olten, Kirchgasse 10, CH-4600 Olten (Switzerland)
Citation Information: Mammalia mamm. Volume 68, Issue 4, Pages 307–322, ISSN (Online) 1864-1547, ISSN (Print) 0025-1461, DOI: 10.1515/mamm.2004.030, July 2007
- Published Online:
Pattern recognition algorithms offer a promising approach to recognizing bat species by their echolocation calls. Automated systems like synergetic classifiers may contribute significantly to operator-independent species identification in the field. However, it necessitates the assembling of an appropriate database of reference calls, a task far from trivial. We present data on species specific flexibility in call parameters of all Swiss bat species (except Nyctalus lasiopterus and Plecotus alpinus). The selection of "training-calls" for the classifier is crucial for species identification success. We discuss this in the context of echolocation call variability differing between species and its consequences for the implementation of an automated, species specific bat activity monitoring system.
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