Identification of twenty‐two bat species (Mammalia: Chiroptera) from Italy by analysis of time‐expanded recordings of echolocation calls
By D. Russo, Gareth J. F. Jones. 2002
370 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology, Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/9438a4635a642bafd600e8b3f9d96421f9ef2de7
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In Developmental Biology
In Ecology
In Ecology, Evolution, Behavior and Systematics
Citations in the corpus
- Landscape connectivity, habitat structure and activity of bat guilds in farmland-dominated matrices (2013, neutral): “Landscape connectivity, habitat structure and activity of bat guilds in farmland-dominated matrices”
- Testing the performances of automated identification of bat echolocation calls: A request for prudence (2017, background): “Over the years, researchers have moved from manual species identification, listening to heterodyned and/or time-expanded sound sequences (Ahlén, 1981), to analyses of displayed call sequences using various software (e.g. Russo and Jones, 2002).”
- Use of foraging habitats by bats in a Mediterranean area determined by acoustic surveys: conservation implications (2003, methodology): “The model for bats emitting FM calls relied on start frequency, end frequency, frequency of maximum energy, and duration of the calls (Russo and Jones 2002).”
- Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study (2011, background): “Not only is this species rare, but it cannot be adequately detected and identified acoustically due to its low intensity echolocation calls and the presence of a sympatric cryptic species (Plecotus auritus) with similar calls (Russo and Jones, 2002).”
- Use of native woodlands and traditional olive groves by foraging bats on a Mediterranean island: consequences for conservation (2007, methodology): “To identify calls, we first separated them into two groups: frequency-modulated (FM) and frequency-modulated/quasi-constant – frequency (FM/QCF), following Russo & Jones (2002) .”
- Divergent echolocation call frequencies in insular rhinolophids (Chiroptera): a case of character displacement? (2007, background): “In peninsular Italy, calls emitted by R. hipposideros in flight (i.e. affected by Doppler shift compensation) peak at 107–114 kHz (Russo & Jones, 2002).”
- Positive effects of forest fragmentation, independent of forest amount, on bat abundance in eastern Ontario, Canada (2011, methodology): “We used quadratic discriminant function analysis (DFA) to classify our recordings to species by comparing the parameters of our recorded calls to a library of validated reference calls (Russo and Jones 2002).”
- Sampling period, size and duration influence measures of bat species richness from acoustic surveys (2012, methodology): “Identification accuracy was vetted using discriminant function analysis (Parsons & Jones 2000; Russo & Jones 2002; Fukia, Agetsuma &Hill 2004) and tests of interobserver agreement.”
- Ground validation of presence‐only modelling with rare species: a case study on barbastelles Barbastella barbastellus (Chiroptera: Vespertilionidae) (2010, methodology): “Surveys were performed with the heterodyne output of the detector tuned between 32 and 34 kHz to match the frequencies of maximum energy emitted by B. barbastellus (Russo & Jones 2002).”