Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach
By Martin K. Obrist, R. Boesch, P. F. Flückiger. 2004
207 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/c99e774959c923c5cdc75b4aad013408d3e09a75
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental Biology
In Ecology
In Ecology, Evolution, Behavior and Systematics
- K. Haysom
- Rolf Bardeli
- Martin Koch
- Karl-Heinz Frommolt
- Klaus-Henry Tauchert
- Frank Kurth
- Daniel Wolff
- P. Racey
Citations in the corpus
- Citizen science reveals trends in bat populations: The National Bat Monitoring Programme in Great Britain (2015, methodology): “A number of quantitative methods for species identification have also been developed (Parsons and Jones, 2000; Obrist et al., 2004; Walters et al., 2012).”
- Landscape connectivity, habitat structure and activity of bat guilds in farmland-dominated matrices (2013, unknown): “Key-words: acoustic monitoring, agricultural landscape, automated species recognition, conservation, echolocation, fragmentation, structural elements”
- Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring (2010, methodology): “…have also been subject to efforts in automated recognition, for example, crickets and grasshoppers (Schwenker et al., 2003; Farr and Chesmore, 2007), marine mammals like whales and dolphins (Deecke et al., 1999; Brown and Miller, 2007; Mellinger et al., 2007), frogs and bats ([Obrist et al., 2004).”