Ilya A. Volodin, Elena V. Volodina, Anna V. Klenova, Vera A. Matrosova, Ilya A. Volodin, Elena V. Volodina, Anna V. Klenova, Vera A. Matrosova. 2015: Gender identification using acoustic analysis in birds without external sexual dimorphism. Avian Research, 6(1): 20. DOI: 10.1186/s40657-015-0033-y
Citation: Ilya A. Volodin, Elena V. Volodina, Anna V. Klenova, Vera A. Matrosova, Ilya A. Volodin, Elena V. Volodina, Anna V. Klenova, Vera A. Matrosova. 2015: Gender identification using acoustic analysis in birds without external sexual dimorphism. Avian Research, 6(1): 20. DOI: 10.1186/s40657-015-0033-y

Gender identification using acoustic analysis in birds without external sexual dimorphism

More Information
  • Corresponding author:

    Ilya A. Volodin, volodinsvoc@gmail.com

    Ilya A. Volodin, volodinsvoc@gmail.com

  • Received Date: 21 Oct 2014
  • Accepted Date: 02 Nov 2015
  • Available Online: 24 Apr 2022
  • Publish Date: 12 Nov 2015
  • 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.

  • Increasing urbanization worldwide has generated both greater awareness of the need to conserve urban biodiversity and an increase in the research required to inform that conservation process (Dunn et al. 2006; DeStefano and Degraaf 2008). Urbanization dramatically changes the natural environment; some species thrive under the altered circumstances ('urban exploiters' and 'adapters'), but others ('urban avoiders') are unable to adjust to the altered environment (Blair 2001). We need to understand what determines this disparity in order to successfully conserve urban biodiversity and ensure the survival of species sensitive to urbanization. One key to successful urban living by birds is an ability to tolerate high levels of disturbance by mostly harmless people (Price 2008). Urban living would not be viable, because critical activities would be curtailed, if birds: (a) spent a large proportion of the day monitoring their environment for stimuli posing little real threat to their survival, or (b) fled long distances rapidly in an energetically-expensive manner when approaching humans were still a long distance away (Frid and Dill 2002).

    Theoretically, the tolerance of human proximity necessary to facilitate urban living could eventuate in one of several ways: (a) cities might only be colonized by bird species whose members are all relatively bold as a result of natural selection for boldness in the exurban environment, (b) urban members of a colonizing species might rapidly become bolder than ex-urban con-specifics through genetic selection (Møller 2008), (c) cities might only be settled by bolder subsets of a species' members through a sorting process (Atwell et al. 2012), or (d) birds that colonize cities might adjust to high human population densities through behavioural plasticity that allows them to rapidly learn that urban humans mostly pose little threat and do not warrant extensive surveillance or early, rapid fleeing responses (Lima and Bednekoff 1999; Weston et al. 2012).

    Species that have genetically adapted to cities for a large number of generations should have shorter Flight Initiation Distances (FID) and smaller relative time allocations to anti-predator vigilance than recent urban colonists. By genetic adaptation we mean adjustment to inhabiting the urban environment that comes about through natural selection (i.e. beneficial genetic change). Møller (2008) demonstrated such a trend for FID in some Western European bird species, but few other studies have addressed this issue, particularly in Australia where cities tend to have a shorter history than many European conurbations. Even where tolerance of disturbing stimulation by humans in cities is primarily achieved through learning, if intra-specific observational, rather than experiental, learning is involved, we might still expect that a very recent urban colonist species would be less tolerant of human proximity than more established species. This would be so because the abundance of models from which to learn tolerance would presumably be relatively low during the colonization process. In birds, FID is a useful, easily-obtained metric of boldness and tolerance of disturbance by humans, with both theoretical and management significance (Weston et al. 2012; Møller et al. 2014; Vines and Lill 2015). Vigilance effort has been used less often in this context, but has potential as a tolerance metric (Fernández-Juricic and Schroeder 2003).

    The Rock Dove (Columba livia) is believed to have been introduced to Australia around the time of British settlement in 1788, but the first recorded releases in the state of Victoria were in the 1870s (Long 1981). It is an 'urban exploiter' that lives commensally with humans in cities in Australia and worldwide (Robbins 1995; Higgins and Davies 1996). Human food waste spillage and food deliberately provided by humans ('volunteer' food) comprise a significant proportion of its urban diet (Mulhall and Lill 2011). The Spotted Dove (Streptopelia chinensis), another urban exploiter, was possibly introduced to Melbourne in the 1860s, but definitely released in the city from 1870-1874 (Long 1981). It depends less on human food waste than the Rock Dove, but also consumes livestock food (Frith et al. 1976; Mulhall and Lill 2011). In contrast, the endemic Crested Pigeon (Ochyphaps lophotes) is an 'urban adapter' that is less commensal than the other two dove species and consumes only a small volume of anthropogenic food (Frith et al. 1974). It has settled in most major east coast temperate zone cities, but only colonized Melbourne's eastern suburbs in the last 15-20 years (A. Lill, personal observation).

    We predicted that in Melbourne the Crested Pigeon would be less adjusted to human proximity than the Rock Dove and Spotted Dove. Not only have the latter two species been established in urban Melbourne far longer than the Crested Pigeon, but the original founder individuals of at least the Rock Dove came from overseas populations that already had a substantial history of close contact with humans. We tested this prediction by contemporaneously: (a) comparing the FID and retreat behaviour of members of the three species to an approaching observer, and (b) measuring the mean proportion of daylight hours spent by the three species in vigilance (i.e. surveillance for threatening stimuli). We reasoned that the predicted lesser tolerance of disturbance by humans of Crested Pigeons would be manifested in fleeing from approaching people earlier than the other species and in spending a greater proportion of terrestrial foraging time in surveillance for approaching humans.

    The study was conducted in the austral autumn and winter (April-August, 2011) at 150 sites spread widely throughout the eastern suburbs of Melbourne, Australia (37.840S, 144.980E). The city has a human population of over 4 million and extends over 9, 900 km2. The study sites, mainly in streets, public parks, recreation reserves and on sports fields, were at least 1 km apart to preclude repeated sampling of unmarked individuals.

    Observations were made on all days of the week between 07:00-11:00 and 13:00-17:00 AEST. At each haphazardly chosen site, two observations per species on two different focal individuals were made for each behavioural variable, whenever possible. Only birds that were on the ground and active were recorded. In conjunction with the behavioural records, we also recorded categorically (0, 1-5 or > 5) several co-variates within 10 m of the focal bird that could potentially influence its behaviour: (1) refuges from predators (e.g. buildings or vegetation cover), (2) potentially threatening stimuli (e.g. predators or moving vehicles), (3) humans and (4) con-specifics and hetero-specific pigeons. Size of the flock of which the focal bird was a member was also noted. All these co-variates have been demonstrated to influence FID in various bird species (Blumstein 2006; Weston et al. 2012). Based on Australian Bureau of Statistics (2011) data, sites were roughly categorized as having an estimated low (≤500 people/km2) or high (> 2, 500 people/km2) human population density.

    The same observer conducted all FID measurements. She always approached the focal bird in a straight line at a steady pace (0.5-1 m per sec) and measured the distance (±1 m) between herself and the bird at which her approach stimulated it to retreat. The Starting Distance (distance from observer's starting point to focal bird's initial location) was also recorded. These distances were measured with a Bushnell Yardage Pro Sport 450™ laser rangefinder. The focal birds' mode of retreat (walking, running or flying) and the (unequal) categorical distances that they retreated (≤5, 5.1-10 and > 10 m) were also recorded. The second recording from a different flock-member was made at least 1 min after the first one to avoid 'carry-over' effects.

    Time investment by foraging doves in vigilance (head-up, visual scanning) was measured for focal individuals over 1-5 min periods using instantaneous sampling (Martin and Bateson 2007) with a 5-sec fixed interval. Co-variates were recorded as outlined above. A second recording from a different member of the same flock was made at least 30-sec after the first one. Although this could potentially reduce independence of the data, there are precedents for using this procedure for constructing time-activity budgets in flocking species (e.g. Magrath and Lill 1983). Vigilance records were obtained from a distance and at a time when the observer's presence or activity were unlikely to be influencing the focal bird's behaviour (McGiffin et al. 2013).

    Statistical analysis was conducted with R version 2.10.1. Data were inspected for conformity with the assumptions of the various significance tests used. To increase statistical power of some analyses, some co-variates were excluded and some categorical variables were pooled where it was evident that their inclusion did not contribute to the explanatory power of the analysis. Inclusion of second records from a flock did not affect the outcome of analyses, so we included all vigilance allocations and FIDs recorded. As starting distance had a strong influence on FID (see Blumstein 2003), we used adjusted FID (FIDadj), the residuals from an ordinary least squares regression of FID on starting distance, in analyses of tolerance of the doves of an approaching observer. Chi square contingency tests were used to examine species differences in mode and distance of retreat from an approaching observer.

    Due to the FID and vigilance data's non-linearity and the complexity of the behavioural interactions, we used non-linear Conditional Inference Tree and Random Forests models to characterise which variables and co-variates explained most of the variation in FIDadj and the time allocation to vigilance. Conditional Inference Tree models use non-biased splitting and are robust to co-linearity of the variables (Zuur et al. 2007). They progressively split the data into sub-groups with the smallest within-group variation and the largest between-group variation in the tree. Random Forests models are collections of categorical and regression tree analyses (Liaw and Wiener 2002) which can indicate the relative explanatory power of various predictor variables to explain variation in a response variable (Breiman 2001).

    Mean actual FIDs (m) of the three species were: Rock Dove 5.3±0.4, Spotted Dove 14±0.7 and Crested Pigeon 13.4±0.6. Conditional Inference Tree analysis (Figure 1) indicated that FIDadj was significantly shorter in the Rock Dove than in the other two species, which did not differ in approachability. In Rock Doves, FIDadj was also significantly shorter where estimated human population density was higher. Random Forests analysis indicated that for the three species considered collectively, species identity had the strongest proportional influence on FIDadj (76%), with estimated human population density (14%), habitat type and refuge type (each~7%) exerting much smaller influences. No other measured co-variate had any effect on FIDadj.

    Figure  1.  Conditional Inference Tree model for adjusted Flight Initiation Distance in three urban dove species.
    CP=Crested Pigeon, SD=Spotted Dove and RD=Rock Dove. Modelling conducted on arcsine square-root transformed data. Summary statistics for Nodes 2, 4 and 5 on a scale from -15 to +15. Q1 and Q3 are first and third quartiles, respectively. Minimum and maximum values do not include outliers.

    The three species varied in their mode of retreat from the approaching observer (χ2 (4)=102.5, P < 0.001) (Figure 2). Inspection of the standardized residuals (Table 1) indicates that Rock Doves walked away more and flew away less than expected, Crested Pigeons ran away more and flew away less than expected, and Spotted Doves flew away more but walked and ran away less than expected. The species also varied in the distance that they retreated from the observer (χ2 (4)=86.2, P < 0.001) (Figure 2). The standardized residuals (Table 1) indicate that Rock Doves fled≤5 m more and > 10 m less than expected, Spotted Doves fled > 10 m more and≤5 m less than expected and Crested Pigeons retreated 5.1-10 m more and > 10 m less than expected.

    Figure  2.  Retreat mode and distance of three urban dove species to an approaching observer.
    Black columns=Rock Dove, white columns=Spotted Dove and grey columns=Crested Pigeon. n=234.
    Table  1.  Standardised residuals for chi square analyses of retreat mode and distance of urban doves
    Species
    Retreat mode Crested Pigeon Rock Dove Spotted Dove
    Walk -0.8 +3.69 -3.21
    Run +4.2 -1.14 -2.91
    Fly -2.85 -2.82 +5.87
    Retreat distance (m)
    ≤ 5 +0.35 +3.49 -4.04
    5.1-10 +2.44 -1.63 -0.74
    > 10 -2.5 -3.05 +5.74
    Residuals > 2 in bold.
     | Show Table
    DownLoad: CSV

    Rock Doves' ground-foraging occurred fairly equally in the quite open habitat of public parks (45.7% of observations) and the more visually obstructed habitat of streetscapes (43.3%), but much less on very open sports fields (11.0%). Spotted Doves' ground-foraging occurred mainly in streetscapes (78.5% of observations) and much less in parks (13.5%) and on sports fields (8.0%). Ground-foraging of Crested Pigeons took place mostly on sports fields (63.0% of observations), far less in more visually obstructed streetscapes (23.6%) and least in parks (13.4%).

    Conditional Inference Tree analysis indicated that the vigilance time allocation of ground-foraging Rock Doves (mean 6.0±0.9%, n=87) was significantly smaller than that of either Spotted Doves (15.4±1.5%, n=67) or Crested Pigeons (15.5±1.9%, n=87), whose allocations were similar (Figures 3 and 4). Vigilance allocation was also greater when flock size was≤5 (20.6±2% of time) than when it was > 5 individuals (10.7±1%) in Spotted Doves and Crested Pigeons, but was unaffected by flock size in Rock Doves (Figure 4). Random Forests analysis indicated that for the three species considered collectively, species (40.0%) and flock size (25.0%) had the greatest proportional influences on vigilance allocation, with the presence of con-specifics also exerting about a 15% proportional influence. All other co-variates had a proportional influence≤5%.

    Figure  3.  Mean (± SE) proportional time spent in vigilance by three urban dove species.
    RD=Rock Dove, SD=Spotted Dove and CP=Crested Pigeon.
    Figure  4.  Conditional Inference Tree model for proportional time allocation to vigilance in three urban dove species.
    CP=Crested Pigeon, SD=Spotted Dove and RD=Rock Dove. Modelling conducted on arcsine square-root transformed data. Summary statistics for Nodes 3, 4 and 5 on a scale from 0 to 10. Q1 and Q3 are first and third quartiles, respectively. Minimum and maximum values do not include outliers.

    The Rock Dove had the shortest FIDadj to an approaching observer, the slowest dominant mode of retreat (walking) and the shortest principal retreat distance. However, contrary to our prediction, the Crested Pigeon had a similar FIDadj and vigilance time allocation to the Spotted Dove, and a slower dominant mode of retreat and shorter average retreat distance than the latter species.

    Among bird species, longer FIDs are variously associated with greater body size, older age at first reproduction, omnivory and carnivory, cooperative breeding and habitat 'openness' (Blumstein 2006). Among urban birds, species that have genetically adapted to cities for many generations have shorter FIDs than recent urban colonists (Møller 2008). However, for the species in the present study, none of these traits explained the observed disparities in FID. The largest species, the Rock Dove (34.5 cm mean total length), actually had a significantly smaller FIDadj than the other species, and the smallest species, the Spotted Dove (30.5 cm), had a similar FIDadj to the slightly larger Crested Pigeon (32.5 cm). All three related species are granivores, differing substantially in their diet only in the volume of human food waste consumed in the urban environment (Higgins and Davies 1996; Mulhall and Lill 2011). None of them has been recorded breeding cooperatively to any significant extent (Ford et al. 1988).

    Møller et al. (2014) showed that, particularly in Europe, farmland birds tended to have longer FIDs than those in other habitats. This may be related to both the declining bird population densities and the relative lack of cover (and hence birds' greater vulnerability to predation) in agricultural land. Rock Doves, which had the shortest mean FIDadj, foraged mainly and equally in fairly open public parks and more visually obstructed streetscapes. However, Spotted Doves and Crested Pigeons, which had a similar mean FIDadj, contrasted in foraging habitat 'openness', the former mostly using streetscapes with many visual obstructions and the latter very open sports fields. The Rock Dove, which has probably been present in Melbourne longest (possibly for > 200 years), was the least wary of humans. However, whilst the Spotted Dove, which has been resident in the city probably for c. 150 years, was more wary of human proximity than the Rock Dove, it was also more wary than the very recent urban colonizer, the Crested Pigeon. Our comparison of three dove species in the urban environment substantially controlled for purely phylogenetic influences on tolerance of disturbance by humans. However, it must be conceded that it is probably less likely to reveal the particular influences on FID of the type listed above than a phylogenetically broader comparison.

    Natural selection for tolerance of human proximity may have occurred in urban Rock and Spotted Doves, but it cannot plausibly explain the fact that Crested Pigeons were more tolerant than Spotted Doves. It is possible that the observed pattern of tolerance occurred because Crested Pigeons as a species, or the subset of urban founder Crested Pigeons, were bolder than Spotted Doves even after generations of selection for tolerance in the latter species. However, it seems more likely that behavioural flexibility was involved in the greater tolerance exhibited by Crested Pigeons. Such greater flexibility could theoretically be related to relative brain size, which is significantly positively correlated with urban colonizing ability in some birds (Malakov et al. 2011), but was not compared among the present study species. However, Guay et al. (2013) have shown that at least in shorebirds brain volume is not correlated with FID. FID being shorter where estimated human population density was higher in the present investigation could be attributable to either habituation or differential settlement by individuals varying inherently in tolerance of disturbance.

    Anti-predator vigilance is another variable reflecting tolerance of human and predator proximity (Fernández-Juricic and Schroeder 2003). Greater investment in vigilance can increase the distance at which approaching predators and people are detected and/or the probability of detecting them. This enhanced detection ability gives the bird more flexibility to adaptively increase or decrease FID, depending on other relevant variables (e.g. perceived predation risk, Lima and Dill 1990; body mass, Creswell 1995). Fernández-Juricic and Schroeder (2003) showed that Spot-winged Pigeons (Columba maculosa) had a greater proportional time allocation to vigilance and a longer mean FID than co-habiting, smaller Eared Doves (Zenaida auriculata). Presumably for Spot-winged Doves the optimal adaptive response if predators are detected at a great distance is, for whatever reason, to flee early. In our investigation, Spotted Doves and Crested Pigeons seemed to have this greater flexibility to adaptively adjust their FID. They had a significantly greater proportional vigilance allocation than Rock Doves and hence probably a superior ability to detect approaching predators and people, and they retreated from an approaching human significantly earlier than Rock Doves. As Rock Doves in Melbourne are directly fed by humans much more than the other two species, they may have down-regulated anti-predator surveillance as the risk posed by people is perceived as being smaller (Lima and Bednekoff 1999).

    The similar vigilance budgets of Spotted Doves and Crested Pigeons are intriguing, because the former forages in a more visually obstructed habitat than the latter and consequently might be expected to spend more time being vigilant (Lazarus and Symonds 1992). However, Fernández-Juricic and Schroeder (2003) found that proportional visual scanning time actually decreased as visually obstructive tree cover increased for urban Spot-winged Pigeons and Eared Doves, so the greater level of visual obstruction in streetscapes might be contributing to the similarity in vigilance budgets of Spotted Doves and Crested Pigeons. Conceivably, at high levels of visual obstruction vigilance may become relatively ineffective and be down-regulated. The observation that vigilance effort of Spotted Doves and Crested Pigeons was less in larger flocks accords with many, but certainly not all, findings for other bird species (Beauchamp 2008), but it is intriguing that the highly gregarious Rock Doves did not exhibit the same relationship. Currently we know too little about natural predation on these three urban doves to factor it into the vigilance formula.

    Whilst it is valid and informative to compare bird species' surveillance for predators by measuring relative vigilance time allocations, two qualifications are pertinent. First, some species' visual fields probably permit surveillance for predators during head-down foraging (Fernández-Juricic et al. 2008), although this may be less of an issue when, as here, closely-related species (which probably have similar visual fields) are being compared. Second, even when species' proportional vigilance time allocations are similar, differences in scanning regime structure may nonetheless result in disparate predator detection efficacies (Fernández-Juricic 2012). These aspects of vigilance require examination in the doves investigated here.

    The Rock Dove, probably the earliest of the study species to have colonised Melbourne, was the most tolerant of human disturbance, having the shortest FID and smallest proportional vigilance effort. However, the Crested Pigeon, the most recent of the three species to have colonised the city, was as, or more, tolerant of disturbance by humans as the second-longest resident, the Spotted Dove. We conclude that:

    (1) genetic selection cannot entirely explain the pattern of tolerance of disturbance by humans observed among the study species and behavioural flexibility appears likely to be involved

    (2) more generally, length of residency in a city is not an infallible guide to a species' relative level of tolerance of disturbance by humans

    (3) logically, we might predict that FID and vigilance effort would be positively correlated in bird species communities and Fernández-Juricic and Schroeder (2003) provide some supporting evidence for such a correlation. Our observations were also consistent with this prediction. Vigilance effort therefore has potential as a metric of tolerance of disturbance in urban birds. However, we still need much more information on the identity and abundance of natural predators in cities to fully understand the implications of interspecific variation in vigilance effort.

    Our study was essentially a 'snapshot' of the current tolerance of disturbance by humans of three dove species in the urban environment. Longitudinal studies of recent urban colonists and their exurban conspecifics would be very demanding, but would allow us to determine if and how tolerance of such disturbance alters through the various stages of urban colonization, from initial settlement to widespread establishment. This would help in defining the relative roles of genetic adaptation and behavioural flexibility in adjusting to disturbance by humans and identifying the specific influences on the acquisition of tolerance to such disturbance.

    The authors declare that they have no competing interests.

    JG collected all the field data and conducted much of the data analysis. AL was involved in project conception and management, some data analysis and wrote the manuscript. JB was involved in project conception and management. All authors read and approved the final manuscript.

    We thank Christopher P. Johnstone for statistical assistance. The study was approved by the Animal Ethics Committee of the School of Biological Sciences, Monash University.

  • Archibald GW. The unison call of cranes as a useful taxonomic tool. 1976. PhD thesis. Cornell University, Ithaca, p 167.
    Aubin T, Mathevon N, Staszewski V, Boulinier T. Acoustic communication in the Kittiwake Rissa tridactyla: potential cues for sexual and individual signatures in long calls. Polar Biol. 2007;30:1027-33.
    Balkiz O, Dano S, Barbraund C, Tekin S, Özesmi U, Dündar M, Béchet A. Sexing greater flamingo chicks from feather bulb DNA. Waterbirds. 2007;30:450-3.
    Ballintijn MR, ten Cate C. Sex differences in the vocalizations and syrinx of the collared dove (Streptopelia decaocto). Auk. 1997;114:22-39.
    Baptista LF, Gaunt SLL. Bioacoustics as a tool in conservation studies. In: Clemmons JR, Buchholtz R, editors. Behavioral approaches to conservation in the wild. Cambridge: Cambridge University Press; 1997. p. 212-42.
    Barbraud C, Mariani A, Jouventin P. Variation in call properties of the snow petrel, Pagodroma nivea, in relation to sex and body size. Aust J Zool. 2000;48:421-30.
    Bazzano G, Lèche A, Martella MB, Navarro JL. Efficiency of the cloacal sexing technique in greater rhea chicks (Rhea americana). Brit Poult Sci. 2012;53(3):394-6.
    Beja-Pereira A, Oliveira R, Alves PC, Schwartz MK, Luikart G. Advancing ecological understandings through technological transformations in noninvasive genetics. Mol Ecol Res. 2009;9:1279-301.
    Berkunsky I, Mahler B, Reboreda JC. Sexual dimorphism and determination of sex by morphometrics in blue-fronted amazons (Amazona aestiva). Emu. 2009;109:192-7.
    Boersma PD, Davies EM. Sexing monomorphic birds by vent measurements. Auk. 1987;104:779-83.
    Bourgeois K, Cure C, Legrand J, Gomez-Diaz E, Vidal E, Aubin T, Mathevon N. Morphological versus acoustic analysis: what is the most efficient method for sexing yelkouan shearwaters Puffinus yelkouan? J Ornithol. 2007;148: 261-9.
    Boyd JH. Taxonomy in flux: version 2.52c. 2013. .
    Bragina EV, Beme IR. The sexual and individual differences in the vocal repertoire of adult Siberian cranes (Grus leucogeranus, Gruidae). Zoologicheskii Zhurnal. 2007;86:1468-81.
    Bragina EV, Beme IR. Siberian crane duet as an individual signature of a pair: comparison of visual and statistical classification techniques. Acta Ethol. 2010;13:39-48.
    Bragina EV, Beme IR. Sexual and individual features in the long-range and short-range calls of the white-naped crane. Condor. 2013;115:501-7.
    Bretagnolle V. Behavioural affinities of the blue petrel Halobaena caerulea. Ibis. 1990;132:102-23.
    Bretagnolle V, Genevois F. Geographic variation in the call of the blue petrel: effects of sex and geographical scale. Condor. 1997;99:985-9.
    Bretagnolle V, Lequette B. Structural variation in the call of the Cory's shearwater (Calonectris diomedea, Aves, Procellariidae). Ethology. 1990;85:313-23.
    Bretagnolle V, Thibault JC. Method for sexing fledglings in Cory's shearwaters and comments on sex-ratio variation. Auk. 1995;112:785-90.
    Bretagnolle V, Zotier R, Jouventin P. Comparative population biology of four prions (genus Pachyptila) from the Indian Ocean and consequences for their taxonomic status. Auk. 1990;107:305-16.
    Brooke ML. Sexual differences in the voice and individual recognition in the Manx shearwater (Puffinus puffinus). Anim Behav. 1978;26:622-9.
    Brooke ML. Sexual dimorphism in the voice of the greater shearwater. Wilson Bull. 1988;100:319-23.
    Brown AW, Brown LM, Stevick PT. Sexing mute swans Cygnus olor by discriminant analysis. Ring Migrat. 2003;21:174-80.
    Buchanan OM. Homosexual behavior in wild orange-fronted parakeets. Condor. 1966;68:399-400.
    Calabuig CP, Greenb AJ, Ferrera M, Muriela R, Moreirac H. Sexual size dimorphism and sex determination by morphometric measurements in the coscoroba swan. Stud Neotrop Fauna E. 2011;46:177-84.
    Carlson G, Trost CH. Sex determination of the whooping crane by analysis of vocalizations. Condor. 1992;94:532-6.
    Cavanagh PM, Ritchison G. Variation in the bounce and whinny songs of the Eastern screech-owl. Wilson Bull. 1987;99:620-7.
    Clapperton BK. Sexual differences in pukeko calls. Notornis. 1983;30:69-70.
    Conover MR. Parental care by male-female and female-female pairs of ringbilled gulls. Colon Waterbird. 1989;12:148-52.
    Conover MR, Hunt GL. Experimental evidence that female-female pairs in gull result from a shortage of breeding males. Condor. 1984;86:472-6.
    Copestake PG, Croxall JP, Prince PA. Use of cloacal sexing techniques in mark-recapture estimates of breeding population size in Wilson's storm petrel Oceanites oceanites in South Georgia. Polar Biol. 1988;8:271-9.
    Cosens SE. Development of vocalizations in the American coot. Can J Zool. 1981;59:1921-8.
    Craig JL, McArdle BH, Wetin PD. Sex determination of the pukeko or swamphen. Notornis. 1980;27:287-91.
    Cure C, Aubin T, Mathevon N. Acoustic convergence and divergence in two sympatric burrowing nocturnal seabirds. Biol J Linn Soc. 2009;96:115-34.
    Cure C, Aubin T, Mathevon N. Intra-sex vocal interactions in two hybridizing seabird species (Puffinus sp.). Behav Ecol Sociobiol. 2010;64:1823-37.
    Cure C, Aubin T, Mathevon N. Sex discrimination and mate recognition by voice in the yelkouan shearwater Puffinus yelkouan. Bioacoustics. 2011;20:235-50.
    Delport W, Kemp AC, Ferguson WH. Vocal identification of individual African wood owls Strix woodfordii: a technique to monitor long-term adult turnover and residency. Ibis. 2002;144:30-9.
    Digby A, Bell BD, Teal PD. Vocal cooperation between the sexes in little spotted kiwi Apteryx owenii. Ibis. 2013;155:229-45.
    Eda-Fujiwara H, Yamamoto A, Sugita H, Takahashi Y, Kojima Y, Sakashita R, Ogawa H, Miyamoto T, Kimura T. Sexual dimorphism of acoustic signals in the oriental white stork: non-invasive identification of sex in birds. Zool Sci. 2004;8:817-21.
    Elie JE, Mathevon N, Vignal C. Same-sex pair-bonds are equivalent to male-female bonds in a life-long socially monogamous songbird. Behav Ecol Sociobiol. 2011;65:2197-208.
    Fabricius E. Homosexualitet hos gragashanar Anser anser. Var Fagelwärld. 1981;40:427-46.
    Farquahar C. Individual and intersexual variation in alarm calls of the white-tailed hawk. Condor. 1993;95:234-9.
    Genevois F, Bretagnolle V. Sexual dimorphism of voice and morphology in the thin-billed prion (Pachyptila bekheri). Notornis. 1995;42:1-10.
    Genovart M, McMinn M, Bowler D. A discriminant function for predicting sex in the Balearic shearwater. Waterbirds. 2003;26:72-6.
    Gill FB, Stokes FJ, Stokes CC. Observations on the horned screamer. Wilson Bull. 1974;86:43-50.
    Goller F, Riede T. Integrative physiology of fundamental frequency control in birds. J Physiol Paris. 2013;107:230-42.
    Goncharova MV, Klenova AV, Bragina EV. Development of cues to individuality and sex in calls of three crane species: when is it good to be recognizable? J Ethol. 2015;33:165-75.
    Grava T, Mathevon N, Place E, Balluet P. Individual acoustic monitoring of the European eagle owl Bubo bubo. Ibis. 2008;150:279-87.
    Grecian VD, Diamond AW, Chardine JW. Sexing razorbills Alca torda breeding at Machias seal island, New Brunswick, Canada, using discriminant function analysis. Atlantic Seabirds. 2003;5:73-80.
    Green PT. Sexing birds by discriminant analysis: further considerations. Ibis. 1989;131:442-7.
    Griffiths R, Double MC, Orr K, Dawson R. A DNA test to sex most birds. Mol Ecol. 1998;7:1071-5.
    Guallar S, Quesada J, Gargallo G, Herrando S, Romero JM. Use of discriminant analysis in the sex determination of passerines breeding in the western Mediterranean. Revista Catalana d'Ornitologia. 2010;26:38-50.
    Gullion GW. Voice differences between sexes in the American coot. Condor. 1950;52:272-3.
    Hanson HC. Methods of determining age in Canada geese and other waterfowl. J Wildl Manage. 1949;13:177-83.
    Hardouin LA, Thompson R, Stenning M, Reby D. Anatomical bases of sex- and size-related acoustic variation in herring gull alarm calls. J Avian Biol. 2013;44:1-10.
    Herting BL, Belthoff JR. Bounce and double trill songs of male and female western screech-owls: characterization and usefulness for classification of sex. Auk. 2001;118:1095-101.
    Huchzermeyer FW. Diseases of Ostrich and Other Ratites. Pretoria: Agricultural Research Council; 1998.
    Hunt GL, Newman AL, Warner MH, Wingfield JC, Kaiwi J. Comparative behavior of male-female and female-female pairs among western gulls prior to egg-laying. Condor. 1984;86:157-62.
    James PC, Robertson HA. The calls of male and female Madeiran storm-petrels (Oceanodroma castro). Auk. 1985a;102:391-3.
    James PC, Robertson HA. Sexual dimorphism in the voice of the little shearwater Puffinus assimilis. Ibis. 1985b;127:388-90.
    James PC, Robertson HA. The call of bulwer's petrel (Bulweria bulwerii), and the relationship between intersexual call divergence and aerial calling in the nocturnal Procellariiformes. Auk. 1985c;102:878-82.
    Janicke T, Ritz MS, Hahn S, Peter H-U. Sex recognition in brown skuas: do acoustic signals matter? J Ornithol. 2007;148:565-9.
    Jensen T, Pernasetti FM, Durrant B. Conditions for rapid sex determination in 47 avian species by PCR of genomic DNA from blood, shell-membrane blood vessels, and feathers. Zoo Biol. 2003;22:561-71.
    Johnsgard PA. Tracheal anatomy of the Anatidae and its taxonomic significance. Wildfowl Trust Ann Rep. 1961;12:58-69.
    Klenova AV, Goncharova MV, Bragina EV, Kashentseva TA. Vocal development and voice breaking in Demoiselle Cranes (Anthropoides virgo). Bioacoustics. 2014;23:247-65.
    Klenova AV, Volodin IA, Volodina EV. Duet structure provides information about pair identity in the red-crowned crane (Grus japonensis). J Ethol. 2008;26:317-25.
    Klenova AV, Volodin IA, Volodina EV, Postelnykh KA. Voice breaking in adolescent red-crowned cranes (Grus japonenis). Behaviour. 2010;147:505-24.
    Klenova AV, Zubakin VA, Zubakina EV, Kolesnikova YA. Indicators of individuality and sex in advertising calls of two closely related auklet species (Charadriiformes, Alcidae): crested auklet and parakeet auklet (Aethia cristatella, Cyclorhynchus psittacula). Zool Zh. 2012;91:869-80.
    Koshmyanova NV, Tikhonov AV, Kharitonov SP. Spectro-temporal structure of alarm calls and sex differences in chicks of the black-headed gull (Larus ridibundus L.). Rep High Sch Biol Sci. 1984;6:30-3.
    Krechmar EA. Alarm duets of white-fronted geese, Anser albifrons. Zool Zh. 2003;82:1239-49.
    Lessells CM, Rowe CL, McGregor PK. Individual and sex differences in the provisioning calls of European bee-eaters. Anim Behav. 1995;49:244-7.
    Livezey BC. A phylogenetic analysis and classification of recent dabbling ducks (Tribe Anatini) based on comparative morphology. Auk. 1991;108:471-507.
    Livezey BC. A phylogenetic analysis of the whistling and white-backed ducks (Anatidae, Dendrocygninae) using morphological characters. Ann Carnegie Mus. 1995;64:65-97.
    Malagó W, Medaglia A, Matheucci E, Henrique-Silva F. New PCR multiplexes for sex typing of ostriches. Braz J Biol. 2005;65:743-5.
    Martin K, Cooke E. Bi-parental care in willow ptarmigan—a luxury? Anim Behav. 1987;35:369-79.
    Martin K, Horn AG, Hannon SJ. The calls and associated behavior of breeding willow ptarmigan in Canada. Wilson Bull. 1995;107:496-509.
    Matrosova VA, Volodin IA, Volodina EV, Vasilieva NA. Stability of acoustic individuality in the alarm calls of wild yellow ground squirrels Spermophilus fulvus and contrasting calls from trapped and free-ranging callers. Naturwissenschaften. 2010;97:707-15.
    Maurer G, Smith C, Süsser M, Magrath RD. Solo and duet calling in the pheasant coucal: sex and individual call differences in a nesting cuckoo with reversed size dimorphism. Aust J Zool. 2008;56:143-9.
    Miller WJ, Wagner FH. Sexing mature Columbiformes by cloacal characters. Auk. 1955;72:279-85.
    Mizuta T, Yamada H, Lin RS, Yodogawa Y, Okanoya K. Sexing white-rumped munias in Taiwan, using morphology, DNA and distance calls. Ornithol Sci. 2003;2:97-102.
    Monk DS, Koenig RD. Individual, brood and sex variation in begging calls of western bluebirds. Wilson Bull. 1997;109:328-32.
    Morinha F, Cabral JA, Bastos E. Molecular sexing of birds: a comparative review of polymerase chain reaction (PCR)-based methods. Theriogenology. 2012;78:703-14.
    Mudrik EA, Kashentseva TA, Gamburg EA, Gavrikova EY, Politov DV. Non-invasive method of sex identification of crane chicks by the DNA from capillary vessels of allantois. Russian J Devel Biol. 2013;44:279-82.
    Mulard H, Aubin T, White JF, Wagner RH, Danchin E. Voice variance may signify ongoing divergence among black-legged kittiwake populations. Biol J Linn Soc. 2009;97:289-97.
    Niemeier MM. Structural and functional aspects of vocal ontogeny in Grus canadensis (Gruidae: Aves). 1979. PhD thesis. University of Nebraska, Lincoln, p 135.
    Nuechterlein GL, Buitron D. Vocal advertising and sex recognition in eared grebes. Condor. 1992;94:937-43.
    O'Dwyer TW, Priddel D, Carlile N, Bartle JA, Buttemer WA. An evaluation of three field techniques for sexing Gould's petrels (Pterodroma leucoptera) (Procellariidae). Emu. 2006;106:245-52.
    Odom KJ, Mennill DJ. A quantitative description of the vocalizations and vocal activity of the barred owl. Condor. 2010;112:549-60.
    O'Huallachain D, Dunne J. Analysis of biometric data to determine the sex of woodpigeons Columba palumbus. Ring Migrat. 2010;25:29-32.
    Penhallurick J. World Bird Info. 2013. .
    Purchase HG. Raising geese. Farmers Bull. 1978;2251:1-14.
    Radford AN. Voice breaking in males results in sexual dimorphism of green woodhoopoe calls. Behaviour. 2004;141:555-69.
    Radesäter T. On the ontogeny of orienting movements in the triumph ceremony in two species of geese (Anser anser L. and Branta canadensis L.). Behaviour. 1974;50:1-15.
    Regnaut S, Lucas FS, Fumagalli L. DNA degradation in avian faecal samples and feasibility of non-invasive genetic studies of threatened capercaillie populations. Conserv Gen. 2006;7:449-53.
    Richner H. Avian laparoscopy as a field technique for sexing birds and an assessment of its effects on wild birds. J Field Ornithol. 1989;60:137-42.
    Saino N, de Ayala RM, Boncoraglio G, Martinelli R. Sex difference in mouth coloration and begging calls of barn swallow nestlings. Anim Behav. 2008;75:1375-82.
    Saino N, Galeotti P, Sacchi R, Boncoraglio G, Martinelli R, Molle A. Sex differences in begging vocalizations of nestling barn swallows, Hirundo rustica. Anim Behav. 2003;66:1003-10.
    Schwing R, Parsons S, Nelson XJ. Vocal repertoire of the New Zealand kea parrot Nestor notabilis. Curr Zool. 2012;58:727-40.
    Serventy DL. A method of sexing petrels in field observations. Emu. 1956;56:213-4.
    Simons TR. Behavior and attendance patterns of the fork-tailed storm petrel. Auk. 1981;98:145-58.
    Smith GC, Jones DN. Vocalizations of the marbled frogmouth I: descriptions and an analysis of sex differences. Emu. 1997;97:290-5.
    Soley JT, Groenewals HB. Reproduction. In: Deeming DC, editor. The Ostrich, Biology, Production and Health. New York: CABI Publishing; 1999. p. 129-58.
    Steyn P, Scott J. Notes on the breeding biology of the wood owl. Ostrich. 1972;44:118-25.
    Swanson DA, Rappole JH. Determining the sex of adult white-winged doves by cloacal characteristics. North Am Bird Bander. 1992;17:137-9.
    Swengel SR. Sex determination. In: Ellis D, Gee G, Mirande C, editors. Cranes: their biology, husbandry, and conservation. Baraboo: ICF; 1996. p. 223-9.
    Taoka M, Okumura H. Sexual differences in flight calls and the cue for vocal sex recognition of swinhoe's storm-petrels. Condor. 1990;92:571-5.
    Taoka M, Sato T, Kamada T, Okumura H. Sexual dimorphism of chatter-calls and vocal sex recognition in Leach's storm-petrels (Oceanodroma leucorhoa). Auk. 1989a;106:498-501.
    Taoka M, Won P-O, Okumura H. Vocal behavior of swinhoe's storm-petrel (Oceanodroma monorhis). Auk. 1989b;106:471-4.
    ten Thoren A, Bergmann H-H. Die Entwicklung der Lautausserungen bei der Graugans (Anser anser). J Ornithol. 1987;128:181-207.
    Tikhonov AV. Acoustic signalization and ecology of birds. Moscow: Moscow University Press; 1986. p. 236.
    Turner L. A rapid method of sexing Canada geese. J Wildl Manage. 1953;17:542-3.
    Venuto V, Ferraiuolo V, Bottoni L, Massa R. Distress call in six species of African Poicephalus parrots. Ethol Ecol Evol. 2001;13:49-68.
    Volodin IA. Behavior repertoire of Rufibrenta ruficollis (Anserini, Anseriformes). 1. Locomotory behaviour. Zool Zh. 1990a; 69(9):57-66.
    Volodin IA. Behavior repertoire of Rufibrenta ruficollis. 2. Acoustic behaviour. Zool Zh. 1990b; 69(10):98-106.
    Volodin IA. Setting-up and maintaining social relations within groups of red-breasted geese (Rufibrenta rificollis Pall.) in captivity. Bull Soc Nat Moscow Biol B. 1990c;95(3):42-50.
    Volodin IA, Volodina EV, Klenova AV. Non-invasive sex recognition in the white-faced whistling duck. Int Zoo News. 2003;50(3):160-7.
    Volodin IA, Volodina EV, Matrosova VA, Kholodova MV. Bioacoustical sexing with playback-evoked loud whistles in the Cuban whistling duck Dendrocygna arborea. Sci Res Zool. 2005a;18:105-12.
    Volodin I, Kaiser M, Matrosova V, Volodina E, Klenova A, Filatova O, Kholodova M. The technique of noninvasive distant sexing for four monomorphic Dendrocygna whistling duck species by their loud whistles. Bioacoustics. 2009;18:277-90.
    Volodin IA, Klenova AV, Volodina EV. Modelling bioacoustical monitoring through years with captive population of the red-breasted goose. Casarca Bull Goose Swan Duck Study Group North Eurasia. 2008;11(1):22-46.
    Volodin IA, Volodina EV, Klenova AV, Filatova OA. Individual and sexual differences in the calls of the monomorphic white-faced whistling duck Dendrocygna viduata. Acta Ornithol. 2005b;40:43-52.
  • Related Articles

  • Cited by

    Periodical cited type(12)

    1. Takeshi Honda, Hironori Ueda. Why Mammals do Not Damage Entire Farmlands Like Insect Pests Do? A Review from a Behavioral Perspective. Mammal Study, 2023, 48(2) DOI:10.3106/ms2022-0054
    2. Luqin Yin, Cheng Wang, Wenjing Han, et al. Birds’ Flight Initiation Distance in Residential Areas of Beijing Are Lower than in Pristine Environments: Implications for the Conservation of Urban Bird Diversity. Sustainability, 2023, 15(6): 4994. DOI:10.3390/su15064994
    3. Melissa Ardila-Villamizar, Gustavo Alarcón-Nieto, Adriana A. Maldonado-Chaparro. Fear in urban landscapes: conspecific flock size drives escape decisions in tropical birds. Royal Society Open Science, 2022, 9(11) DOI:10.1098/rsos.221344
    4. Swaroop Patankar, Ravi Jambhekar, Kulbhushansingh Ramesh Suryawanshi, et al. Which Traits Influence Bird Survival in the City? A Review. Land, 2021, 10(2): 92. DOI:10.3390/land10020092
    5. Takeshi Honda. Geographical personality gradient in herbivorous animals: Implications for selective culling to reduce crop damage. Ecological Research, 2021, 36(1): 145. DOI:10.1111/1440-1703.12186
    6. Takeshi Honda, Yohichi Kubota, Yutaka Ishizawa. Ungulates-exclusion grates as an adjoining facility to crop damage prevention fences. European Journal of Wildlife Research, 2020, 66(1) DOI:10.1007/s10344-020-1362-7
    7. Daniel T. Blumstein. What chasing birds can teach us about predation risk effects: past insights and future directions. Journal of Ornithology, 2019, 160(2): 587. DOI:10.1007/s10336-019-01634-1
    8. Jenna L. Van Donselaar, Jenna L. Atma, Zachary A. Kruyf, et al. Urbanization alters fear behavior in black-capped chickadees. Urban Ecosystems, 2018, 21(6): 1043. DOI:10.1007/s11252-018-0783-5
    9. Javier delBarco-Trillo. Shyer and larger bird species show more reduced fear of humans when living in urban environments. Biology Letters, 2018, 14(4): 20170730. DOI:10.1098/rsbl.2017.0730
    10. T. Honda, H. Iijima, J. Tsuboi, et al. A review of urban wildlife management from the animal personality perspective: The case of urban deer. Science of The Total Environment, 2018, 644: 576. DOI:10.1016/j.scitotenv.2018.06.335
    11. Matthew R. E. Symonds, Michael A. Weston, Wouter F. D. van Dongen, et al. Time Since Urbanization but Not Encephalisation Is Associated with Increased Tolerance of Human Proximity in Birds. Frontiers in Ecology and Evolution, 2016, 4 DOI:10.3389/fevo.2016.00117
    12. Bao-Sen Shieh, Shih-Hsiung Liang, Yuh-Wen Chiu, et al. Interspecific comparison of traffic noise effects on dove coo transmission in urban environments. Scientific Reports, 2016, 6(1) DOI:10.1038/srep32519

    Other cited types(0)

Catalog

    Figures(13)  /  Tables(1)

    Article Metrics

    Article views (260) PDF downloads (31) Cited by(12)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return