2012
DOI: 10.1111/j.1365-2664.2012.02182.x
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A continental‐scale tool for acoustic identification of European bats

Abstract: Summary1. Acoustic methods are used increasingly to survey and monitor bat populations. However, the use of acoustic methods at continental scales can be hampered by the lack of standardized and objective methods to identify all species recorded. This makes comparable continent-wide monitoring difficult, impeding progress towards developing biodiversity indicators, transboundary conservation programmes and monitoring species distribution changes. 2. Here we developed a continental-scale classifier for acoustic… Show more

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Cited by 163 publications
(139 citation statements)
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“…After sunset, echolocation calls were also recorded (Avisoft UltraSoundGate running Avisoft-Recorder software, sampling rate 384 kHz, 16 bit; Avisoft) and later analyzed in Sas Lab Pro. Visual observation, pictures, video records, and voice recordings confirmed observations of noctule bats (Obrist et al, 2004;Walters et al, 2012). Leisler's bats, Nyctalus leisleri, are also present in the region, and can be mistaken for noctule bats (Russo and Jones, 2002;Obrist et al, 2004;Ruczyński et al, 2010).…”
mentioning
confidence: 82%
“…After sunset, echolocation calls were also recorded (Avisoft UltraSoundGate running Avisoft-Recorder software, sampling rate 384 kHz, 16 bit; Avisoft) and later analyzed in Sas Lab Pro. Visual observation, pictures, video records, and voice recordings confirmed observations of noctule bats (Obrist et al, 2004;Walters et al, 2012). Leisler's bats, Nyctalus leisleri, are also present in the region, and can be mistaken for noctule bats (Russo and Jones, 2002;Obrist et al, 2004;Ruczyński et al, 2010).…”
mentioning
confidence: 82%
“…In many geographic regions, the application of ultrasound detection to studies on bat habitat use is strongly restricted by the strong similarity of echolocation calls among members of Myotis genus. When dealing with the most European species of that genus, even application of discriminant function analysis (DFA) and artificial neural networks allows correct classification of only 50-70 % Myotis bats (Vaughan et al 1997b;Walters et al 2012). This practically excludes its recognition in unknown areas if recording is not supported by visual observations of flight style and foraging tactics (Ahlén 1990); the latter is strictly dependent on the experience and subjective assessment of an expert.…”
Section: Analysis Of Bat Callsmentioning
confidence: 99%
“…However, call structures within species can be extremely flexible and depend on factors including habitat, age, sex and the presence of conspecifics. [10,2] Murray et.al. [12] have studied the variation in search phase calls of bats.…”
Section: Bat Species Identification Systemsmentioning
confidence: 99%
“…Venezuela [8]; Greece; Italy [13]; Meditteranean area [23]; UK [24]; Switzerland [22];). Therefore, they cannot be used to generate comparable classifications at a continental scale [2]. For continent-wide survey and monitoring programmes that aim to assess changes in activity over time or between sites, a quantitative method of identification that is objective, standardized and repeatable is essential.…”
Section: Bat Species Identification Systemsmentioning
confidence: 99%
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