Individual acoustic monitoring of the European Eagle Owl<i>Bubo bubo</i>

Grava, Thibault; Mathevon, Nicolas; Place, Emelyne; Balluet, Patrick

doi:10.1111/j.1474-919x.2007.00776.x

Cited by 66 publications

(52 citation statements)

References 21 publications

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“…Hoot calls ("u-hu" calls) of the male Eagle Owl (Bubo bubo) are substantially lower in fundamental frequency than hoot calls of females (Grava et al 2008). The Fig.…”

Section: Order Strigiformesmentioning

confidence: 99%

Gender identification using acoustic analysis in birds without external sexual dimorphism

Volodin

Volodina²,

Klenova

et al. 2015

Avian Res

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Zoo and wildlife management faces a problem with bird sexing, as many bird taxa have indiscernible gender differences in size and coloration. Problematic groups are geese, cranes, rails, raptors, owls, parrots, doves, auks, shearwaters and some passerines. Commonly accepted invasive sexing techniques based on genetics, laparoscopy, morphometric and on cloacal inspection, are all needed in bird capturing and handling. Capturing and subsequent manipulations may be inapplicable for free-ranging birds, whereas distant voice-based sexing is relevant for many species. This review evaluates the potential for noninvasive sexing by separate calls or duet calls, for adult birds of 69 species from 16 orders and for chicks of 11 species from 7 orders. For adult birds of 25 species, a single call per individual was sufficient for 100 % reliable sexing by ear or using spectrographic analysis. For chicks, the potential for voice-based sexing seems to be very limited. For birds calling rarely or unpredictably, we propose a simple way of provoking vocalization using playbacks of species-specific calls that are available from sound libraries. We conclude that sexing by voice may represent a feasible alternative to the classical sexing techniques, both in the wild and in captivity.

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“…Hoot calls ("u-hu" calls) of the male Eagle Owl (Bubo bubo) are substantially lower in fundamental frequency than hoot calls of females (Grava et al 2008). The Fig.…”

Section: Order Strigiformesmentioning

confidence: 99%

Gender identification using acoustic analysis in birds without external sexual dimorphism

Volodin

Volodina²,

Klenova

et al. 2015

Avian Res

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“…4 Distribution of the distances moved by male Corncrakes in the Nurzec River Valley in 2012. When pairs of calls showed a similarity value of greater than 0.98 (Pearson's R), they were considered to come from the same individual estimate of similarity, which is lacking in most studies (e.g., Grava et al 2008;Garcia et al 2012), can be used to discriminate between individuals: two calls with a similarity value of less than 0.90 can be considered to belong to different individuals. Simply put, the features of calls recorded in the same place can reveal whether or not those calls were produced by the same individual.…”

Section: Discussionmentioning

confidence: 99%

“…It has been suggested that individual vocal features could be helpful in both monitoring and censusing efforts (Darden et al 2003;Terry et al 2005), especially for secretive and cryptic species (Rebbeck et al 2001;Grava et al 2008). This non-invasive identification method does not require capturing, visually observing, or physically approaching individuals.…”

Section: Introductionmentioning

confidence: 99%

Is it possible to acoustically identify individuals within a population?

2014

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Acoustically identifying individuals may be a helpful technique when it is necessary to monitor animal populations over space and time. Previous studies have largely focused on the theoretical exploitation of vocal individuality or have looked at a small number of individuals. Here, we examined whether vocal individuality can be used to track the movement of individuals within a population (in this case when the number of individuals is greater than 100) and unknown beforehand. As a model species, we used the Corncrake (Crex crex)-a highly secretive bird whose calls are characterized by an individual-specific feature: pulse-to-pulse duration (PPD). When we performed classical discriminant function analyses on PPD, we correctly identified a high percentage of individuals ([98 %), even when sample size was larger than 100. However, a comparison of PPD similarity within and between individuals showed that, while birds can be correctly discriminated, unambiguous identification is impossible when the number of individuals is unknown beforehand. Therefore, we were only able to assess the probability that two calls belonged to the same individual. The results of this study show that acoustic identification in the Corncrake, and probably in other animal species, is mainly useful in detecting general behavioral patterns within populations. For instance, we discovered that more than 50 % of males change territories during the breeding season, probably to find females. Physical marking methods seem to be more reliable to tracking specific individuals. However, those methods usually consider limited numbers of individuals. Therefore, generalizing results to the population scale can also be misleading.

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“…As a top predator, rūrū may be vulnerable to toxins used to control introduced mammals (Stephenson et al 1999;Fraser & Hauber 2008). Globally, owls have been shown to be a robust biodiversity indicator of ecosystem health and integrity (Blackburn et al 2001;Anthony et al 2006), and a range of monitoring methods have been developed, including using playback calls (Anthony et al 2006), mouse lures (Imboden 1975), mark-re-sight (Blackburn et al 2001), and acoustic monitoring (Gravia et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Determining the spacing of acoustic call count stations for monitoring a widespread forest owl

Pryde¹,

Greene²

2016

NZ J Ecol

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Nocturnal species are challenging to monitor, but with advances in bioacoustic technology, acoustic monitoring is becoming a more affordable, efficient technique for monitoring cryptic species. We tested the suitability of acoustic monitoring as a potential national monitoring method for morepork/rūrū (Ninox novaeseelandiae), in beech forest within the Eglinton Valley, Fiordland, during spring 2009-2010. We used radio telemetry and an acoustic call study to address two questions to help managers make evidence-based decisions on the spacing of acoustic call count stations: (1) What are the sex-specific and seasonal home-range sizes of rūrū? (2) How does acoustic detection decrease with increasing distance? Home ranges were the largest recorded to date for rūrū in New Zealand (mean 100% MCP = 307 ha, mean 75% kernel = 43.5 ha) with an average range spread of 270 m (75% kernel). Significant attenuation of recorded calls occurred after 150 m in southern beech (Nothofagaceae) forest and no calls could be detected by the recorders beyond 250 m. Acoustic monitoring is a promising technique to monitor rūrū nationally, but the spacing of stations needs to vary depending on home-range, habitat and the microphones used in the acoustic detectors.

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Individual acoustic monitoring of the European Eagle OwlBubo bubo

Cited by 66 publications

References 21 publications

Gender identification using acoustic analysis in birds without external sexual dimorphism

Gender identification using acoustic analysis in birds without external sexual dimorphism

Is it possible to acoustically identify individuals within a population?

Determining the spacing of acoustic call count stations for monitoring a widespread forest owl

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