Recognition of Species of Insectivorous Bats by Their Echolocation Calls

Fenton, M. Brock; Bell, Gary P.

doi:10.2307/1380701

Cited by 331 publications

(176 citation statements)

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“…In 1958 already, Griffin described echolocation calls differing between species (Griffin 1958). But it was not until 23 years later, when the first publications dedicated to acoustic bat species identification where published by Ahlén (1981), andBell (1981). The topic gained new momentum in recent years in the light of affordable biodiversity monitoring and conservation.…”

Section: Introductionmentioning

confidence: 99%

Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach

Obrist

Boesch

Flückiger

2004

Mamm

173

122

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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

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Section: Introductionmentioning

confidence: 99%

Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach

Obrist

Boesch

Flückiger

2004

Mamm

173

122

View full text Add to dashboard Cite

show abstract

“…Captures are the traditional means of assessing the composition of an area's bat fauna, typically through the use of shooting, mist nets and traps, and sampling focused around known roost sites (Voss & EMMONS 1996;SIMMONS & VOSS 1998). The use of bat detectors to monitor the species-specific echo locations calls (FENTON & BELL 1981;0 'FARREL & MILLER 1997) is another method of documenting the bat fauna of an area, but one that may not provide the same picture of the fauna as captures (FENTON et al 1987;GANNON & SEXTON 1996;RAUTENBACH et at. 1996).…”

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confidence: 99%

Bats from Fazenda Intervales, Southeastern Brazil: species account and comparison between different sampling methods

et al. 2000

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ABSTRACT. Assessing the composition of an area's bat fauna is typically accomplished by using captures or by monitoring echo location calls with bat detectors. The two methods may not provide the same data regarding species composi tion. Mist nets and harp traps may be biased towards samp ling low flying spec ies, and bat detectors biased towards detecting high intensity echo locators. A comparison of the bat fauna of Fazenda Intervales, southeastern Brazil, as revealed by mist nets and harp trap captures, checking roosts and by monitoring echolocation calls offlying bats illustrates this point. A total of 17 species of bats was sampled. F0U11een bat species were captured and the echolocation calls of 12 species were recorded, three of them not revealed by mist nets or harp traps. The different sampling methods provided dilTerent pictures of the bat fauna. Phyllostomid bats dominated the catches in mist nets, but in the field their echolocation calls were never detected. No single sampling approach provided a complete assessment of the bat fauna in the study area. In general, bats producing low intensity echolocation calls, such as phyllostomids, are more easily assessed by netting, and bats producing high intensity echolocation calls are better surveyed by bat detectors. The results demonstrate that a combined and varied approach to sampling is required for a complete assessment of the bat fauna of an area.

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“…Calls in search phase were used for acoustic analyses (Fenton and Bell, 1981;Parsons and Jones, 2000;Kalko and Aguirre, 2007), because they represent 90% of the calls emitted by bats during foraging (Fenton et al, 1977).…”

Section: Acoustic Monitoringmentioning

confidence: 99%

“…Only the terminal frequency of M. chiloensis was measured in this study, as Vespertilionidae and other families using FM components are easier to recognize through the lowest frequency calls, specifically at the end of the FM component (Fenton and Bell, 1981). This is because the lowest frequencies are less subject to atmospheric attenuation (Kalko and Schnitzler, 1989).…”

Section: Acoustic Monitoringmentioning

confidence: 99%

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Analysis of the echolocation calis and morphometry of a population of Myotis chiloensis (Waterhouse, 1838) from the southern Chilean temperate forest

et al. 2010

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Echolocation is characteristic of bats of the suborder Microchiroptera. Though recent studies of echolocation calls in Latin America have generated significant advances in knowledge about distribution, habitat use and ecology of bats, the recording and analysis of bat calls is barely known in Chile. As a first step in studies on the ecology of the endemic Chilean myotis bat (Myotis chiloensis), we carried out morphometric measures and analyzed echolocation calls in a rural site near Pucón (39°15'S 17°W) in the Araucanía Region of southern Chile. During January 2009, we obtained 22 records from captured and 75 records from flying individuals. The analysis of calls in searching phase showed that the terminal frequency for this species is 43.4 ± 1.2 kHz, with a mean duration of 2.1 ± 1.0 ms and an interval between pulses of 77.5 ± 16.9 ms. The calls are FM -QCF, as is characteristic for the family Vespertilionidae. The contribution of new morphometric data from captured and released individuals indicates differences from previous studies. The records and acoustic analysis establishes a baseline for more detailed future ecological investigation of this and other bat species in Chile.

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Recognition of Species of Insectivorous Bats by Their Echolocation Calls

Cited by 331 publications

References 0 publications

Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach

Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach

Bats from Fazenda Intervales, Southeastern Brazil: species account and comparison between different sampling methods

Analysis of the echolocation calis and morphometry of a population of Myotis chiloensis (Waterhouse, 1838) from the southern Chilean temperate forest

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