Oscar Humberto Marín-Gómez, Michelle García-Arroyo, Camilo E. Sánchez-Sarria, J. Roberto Sosa-López, Diego Santiago-Alarcon, Ian MacGregor-Fors. 2020: Nightlife in the city: drivers of the occurrence and vocal activity of a tropical owl. Avian Research, 11(1): 9. DOI: 10.1186/s40657-020-00197-7
Citation: Oscar Humberto Marín-Gómez, Michelle García-Arroyo, Camilo E. Sánchez-Sarria, J. Roberto Sosa-López, Diego Santiago-Alarcon, Ian MacGregor-Fors. 2020: Nightlife in the city: drivers of the occurrence and vocal activity of a tropical owl. Avian Research, 11(1): 9. DOI: 10.1186/s40657-020-00197-7

Nightlife in the city: drivers of the occurrence and vocal activity of a tropical owl

Funds: 

OHM-G and MG-A were supported by the graduate Grant provided by the National Council of Science and Technology CONACYT 417094

OHM-G and MG-A were supported by the graduate Grant provided by the National Council of Science and Technology 416452

as well as the Doctoral and Master Program of the Instituto de Ecología, A.C. INECOL, Xalapa

JRSL thanks CONACYT project Grant 251526

a chair fellowship at CIIDIR researcher number 1640

a chair fellowship at CIIDIR project number 1781

More Information
  • Background 

    Cities differ from non-urban environments by the intensity, scale, and extent of anthropogenic pressures, which can drive the occurrence, physiology, and behavior of the organisms thriving in these settings. Traits as green cover often predict the occurrence patterns of bird species in urban areas. Yet, anthropogenic noise and artificial light at night (ALAN) could also limit the presence and disrupt the behavior of birds. However, there is still a dearth of knowledge about the influence of urbanization through noise and light pollution on nocturnal bird species ecology. In this study, we assessed the role of green cover, noise, and light pollution on the occurrence and vocal activity of the Mottled Owl (Ciccaba virgata) in the city of Xalapa (Mexico).

    Methods 

    We obtained soundscape recordings in 61 independent sites scattered across the city of Xalapa using autonomous recording units. We performed a semi-automated acoustic analysis of the recordings, corroborating all Mottled Owl vocalizations. We calculated two measures of anthropogenic noise at each study site: daily noise (during 24 h) and masking noise (mean noise amplitude at night per site that could mask the owl's vocalizations). We further performed generalized linear models to relate green cover, ALAN, daily noise, and masking noise in relation to the owl's occurrence (i.e., detected, undetected). We also ran linear models to assess relationships among the beginning and ending of vocal activity with ALAN, and with the anthropogenic and masking noise levels at the moment of which vocalizations were emitted. Finally, we explored variations of the vocal activity of the Mottled Owl measured as vocalization rate across time.

    Results 

    The presence of Mottled Owls increased with the size of green cover and decreased with increases in both artificial light at night and noise levels. At the temporal scale, green cover was positively related with the ending of the owl's vocal activity, while daily noise and ALAN levels were not related to the timing and vocal output (i.e., number of vocalizations). Furthermore, the Mottled Owl showed a marked peak of vocal activity before dawn than after dusk. Although anthropogenic noise levels varied significantly across the assessed time, we did not find an association between high vocal output during time periods with lower noise levels.

    Conclusions 

    Spatially, green cover area was positively related with the presence of the Mottled Owl in Xalapa, while high noise and light pollution were related to its absence. At a temporal scale, daily noise and ALAN levels were not related with the timing and vocal output. This suggests that instead of environmental factors, behavioral contexts such as territoriality and mate interactions could drive the vocal activity of the Mottled Owl. Further studies need to incorporate a wider seasonal scale in order to explore the variation of different vocalizations of this species in relation to environmental and biological factors.

  • Extra-pair paternity (EPP) has received great attention during recent decades, after Trivers (1972) argued that males should seek additional copulations, while females should choose males that could increase the genetic quality or the genetic constitution of offspring. Several hypotheses have been put forward to achieve a better understanding of the potential benefits of this behaviour. Empirical studies have found support for different benefits, although most attention has been given to the "good genes" hypothesis, predicting that females use male phenotypic cues to assess male genetic quality from which the offspring might benefit (Westneat et al. 1990; Birkhead and Møller 1992; Hasselquist et al. 1996; Griffith et al. 2002). Alternatively, "compatible genes" where the genes of an extra-pair male fit better with the genes of the female than those of the social partner may increase offspring fitness (Kempenaers et al. 1999; Tregenza and Wedell 2000; Griffith and Immer 2009). Females' benefits from EPP may also include fertility insurance (Birkhead and Møller 1992; Sheldon 1994; Schmoll and Kleven 2016) and access to resources (Wolf 1975; Gray 1997). However, these benefits have received less empirical support (Griffith et al. 2002). Social mates pay the main costs are loss of parental care (Birkhead et al. 1993; Suter et al. 2009), while costs of partner assessment (Petrie and Kempenaers 1998) and transmission of sexually transmitted diseases (Sheldon 1993) have also been suggested for males and females involved in EPP.

    The Hamilton and Zuk hypothesis predict that females should choose mates with signals reliably reflecting resistance against parasites in the context of sexual selection (Hamilton and Zuk 1982; Møller 1990). Males expressing resistance to parasites may provide more parental care, as they suffer lower rates of parasites (Milinski and Bakker 1990), but also transmit resistance genes to offspring, which also benefit females (Hamilton and Zuk 1982). Regardless of the explanation, males revealing their resistance to potential female partners will more likely obtain extra-pair copulations. This was demonstrated for instance in the House Finch (Carpodacus mexicanus) in which carotenoid-based feather coloration was negatively correlated with the amount of feather-degrading bacteria (Shawkey et al. 2009), while poor male condition was related to the presence of other parasites (Thompson et al. 1997). Thus, males signalling his phenotypic quality including resistance to parasitism will more easily access to females including extra-pair females.

    However, extra-pair copulations would also imply the transmission of microorganisms between males and females, which may have beneficial (Lombardo et al. 1999) or pathogenic effects. Costs of EPP associated to parasitism and/or antiparasitic defences are in case scarcely studied. As examples of parasites' transmission during copulation, Ring-necked Pheasants (Phasianus colchicus) are known to transmit ectoparasites from male to female during copulation (Hillgarth 1996). Thus, as mating with several partners will expose individuals to potential parasite transmission, this could affect both individuals and the outcome of the reproductive event. Any males with superior resistance should be better to avoid potential costs or simply be better adapted to reduce the consequences for the costs of extra-pair paternity. Since birds usually signal their antiparasitic capabilities throughout plumage brightness (Hamilton and Zuk 1982), related characters should also play a crucial role describing which males could gain multiple mating. Hence, understanding potential relationships between parasites and defence mechanisms should help understand the underlying mechanisms behind EPP (Westneat and Stewart 2003).

    By definition, secondary sexual traits are important for gaining multiple mating, and these traits are often reflected in colour and brightness (Baker and Parker 1979), which, as mentioned before, usually reveals resistance of individuals to parasitic infection (Hamilton and Zuk 1982). Several secondary sexual traits, including feather coloration, are condition-dependent, hence indicating high-quality individuals (Andersson 1994). It is known for instance that more colourful individuals in the Greater Flamingo (Phoenicopterus roseus) had higher breeding success (Amat et al. 2011), and that plumage brightness was related to chick development in Blue Tits (Cyanistes caeruleus) (Senar et al. 2002), both results suggesting a direct link between feather coloration and important fitness components. Thus, any characteristics that prevented feather deterioration or enhance parasite resistance will be sexually selected and, consequently, should predict the strength of sexual selection. The uropygial gland is a good candidate trait, mainly because its main function is to protect feathers from degradation agents including microorganisms (Moreno-Rueda 2017; Azcárate-García et al. 2020) but also because its size or volume of secretion predicts selection pressures due to ectoparasites (Magallanes et al. 2016).

    The objective of this study was to test the prediction relating EPP and the size of the uropygial gland among 60 bird species. The relationship between the size of the uropygial gland and bacterial diversity has been investigated several times (Møller et al. 2009; Jacob et al. 2014). Secretions from the uropygial gland have been demonstrated to act as antiparasitic defence in some species, although generally assumed for many species, especially against feather-degrading bacteria (Jacob and Ziswiler 1982; Møller et al. 2009; Ruiz-Rodríguez et al. 2009), which can affect interspecific interactions such as predation (Møller et al. 2010), but also sexually selected feathers (Ruiz-Rodríguez et al. 2015). Simultaneously, secretions from the uropygial gland have been shown to increase colour intensity (Amat et al. 2011) and affect plumage brightness (Moreno-Rueda 2010). However, the relationship between EPP and the uropygial gland remains poorly understood. Here we provide, to our knowledge, the first test of the hypothesis that the level of EPP is positively related to the size of the uropygial gland, which will suggest a direct link between uropygial gland and the strength of sexual selection.

    We extracted information on the size of the uropygial gland using Jacob and Ziswiler (1982) as a source. We assumed that a larger uropygial gland could produce more secretions than a smaller gland, which was demonstrated at an intraspecific level in Barn Swallows (Hirundo rustica) (Møller et al. 2009) and is discussed at the interspecific level by Soler et al. (2012).

    Estimates of species-specific extra-pair paternity rate were extracted from Griffith et al. (2002). Extra-pair paternity was defined as the proportion of offspring that was extra-pair offspring. In a second data set we used the proportion of broods that held extra-pair offspring. Data since 2002 were extracted from the Web of Science. In total, estimates of both EPP and uropygial gland size were available for 60 species (Additional file 1: Table S1).

    Body mass was extracted from Dunning (2008).

    Species characteristics are not statistically independent because they share their evolutionary history. We adjusted for this dependence using comparative analyses. We controlled for phylogenetic uncertainty, using phylogenetic relationships among species. This was done by using 100 phylogenetic ultrametric trees for all the species included in the analysis from https://birdtree.org/ (accessed April 2020). All models were fitted to the different trees by using Bayesian phylogenetic models from the MCMCglmm package (Hadfield 2010). The MCMC algorithm was set to 2, 000, 000 iterations, with a burn-in period of 100, 000 and a thinning interval of 1000. Geweke's convergence diagnostic was used for Markov chains, giving a z-score of the first 10% and last 50% of the means in the chain (Geweke 1992). The models use the frequency of EPP (proportion of broods with extra-pair paternity) as response variable, and log10-transformed uropygial gland size from Jacob and Ziswiler (1982), log10-transformed body mass from Dunning (2008) and sample sizes for EPP as explanatory continuous variables. Model 1 assumes Poisson distribution, while Model 2 assumes Gaussian distribution, and these models are further weighted for sample size to account for uneven sampling effort (Garamszegi and Møller 2010). Tests of the random effect of phylogeny for the 100 phylogenetic trees was performed and assessed as heritability (h2), a measure of phylogenetic signal ranging between zero and one (Hadfield 2010). For all the independent factors (log10-transformed uropygial gland size, log10-transformed body mass and sample sizes for EPP), the averaging estimates, lower and upper values of the confidence interval (95% CI), calculated as upper and lower 95% credibility interval values of the estimates of the 100 models, the 95% CI for the 100 models for pMCMC values, z-score of the Geweke's convergence diagnostic, effective sample sizes and autocorrelations are reported.

    When corrected for phylogeny in comparative analyses, there was a significant positive relationship between level of EPP and size of the uropygial gland for both models (Fig. 1) and body mass, but not with sample sizes for EPP (Table 1). The size of the uropygial gland is from previous studies known to correlate positively with body size (Møller et al. 2010) and the amount of wax produced (Elder 1954; Møller et al. 2009; Pap et al. 2010). Hence, we assume that the size of the uropygial gland represents the relative amount of wax and, thus, larger amounts of the antiparasitic defence properties that can affect the integrity of feathers, hence give plumage in better condition (Azcárate-García et al. 2020) as well as their coloration and brightness (Amat et al. 2011; Moreno-Rueda 2017).

    Figure  1.  Association between residuals of rate of extra pair paternity and volume of the uropygial gland of the 60 avian species considered in the study after controlling for the effect of body mass. Line is the regression line and size of circles are proportional to log10-transformed sample size used to estimate extra pair paternity in each species
    Table  1.  Relationships with prevalence of extra-pair paternity (EPP) using comparative analysis
    Model Estimate Lower 95% CI Upper 95% CI ESS lower 95% CI ESS upper 95% CI Autocorrelation lower 95% CI Autocorrelation upper 95% CI (z-score) Lower 95% CI (z-score) Upper 95% CI pMCMC (‒95%CI) pMCMC (+95%CI)
    Model 1
    Uropygial gland size 1.260 0.101 2.473 1885.762 1938.241 ‒0.006478 0.002344 ‒0.05068 0.39434 0.030 0.034
    Body mass ‒1.657 ‒3.035 ‒0.312 1892.864 1944.279 ‒0.005594 0.002843 ‒0.38670 0.08815 0.015 0.022
    N EPP 3.382 2.668 4.115 1889.632 1948.191 ‒0.002031 0.007548 ‒0.35252 0.21599 0.000 0.000
    Phylogeny (h2) 0.98753 0.02968 0.99831
    Model 2
    Uropygial gland size 0.182 0.049 0.316 1877.943 1931.508 ‒0.00669 0.00251 ‒0.19885 0.22043 0.009 0.014
    Body mass ‒0.272 ‒0.420 ‒0.124 1893.361 1931.874 ‒0.00625 0.00293 ‒0.28063 0.13554 0.001 0.002
    Phylogeny (h2) 0.57187 0.21314 0.84883
    Summary of MCMCglmm models with frequency of EPP as the response variable and Log10-transformed uropygial gland size, Log10-transformed body mass and total number of nests per species sampled for EPP (N EPP) as explanatory continuous variables. The models assume Poison (Model 1) and Gaussian (Model 2) distributions and the random effect of phylogeny was tested for each of the 100 phylogenetic trees considered and assessed as heritability (h2). For each factor, we report the average of estimates, as well as the lower and upper values of the confidence interval (95% CI), which were calculated respectively on the lower and upper 95% credibility interval values of the estimates of the 100 models. We also report 95% CI of the 100 models (i.e., one for each of the phylogenetic trees considered) for pMCMC values, z-scores of the Geweke's convergence diagnostic, effective sample sizes (ESS), and autocorrelations. Values in italics are statistically significant (pMCMC < 0.05).
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    The main finding in this study is that the size of the uropygial gland is positively related to the level of EPP at the interspecific level. This is in line with the predictions regarding the role of secretions of the uropygial gland in both antimicrobial defence and plumage brightness (Moreno-Rueda 2017). The specific function of the uropygial gland on these two processes, however, remains unknown.

    Previous studies have documented transmission of microorganisms from males to females through mating events (Hillgarth 1996; Westneat and Rambo 2000) and other social events (Brown et al. 2001). This mechanism is one of few, but still poorly understood costs of EPP. However, the related costs can be of crucial importance in order to maintain this behaviour (Westneat and Stewart 2003), and mechanisms to reduce the costs are expected. The size of the uropygial gland is positively related to the amount of secretions produced for a variety of species (Elder 1954; Møller et al. 2010; Pap et al. 2010) as the gland is made up of tubules where secretion of the substances occur (Jacob and Ziswiler 1982), and secretions are hypothesized to have antiparasitic substances (Moreno-Rueda 2017). Hence, selection for defence through uropygial gland secretions could be an important factor for fitness components such as reproductive success (Whittaker et al. 2013) and survival (Merino et al. 2000; Møller et al. 2010; Magallanes et al. 2017).

    Both Møller et al. (2010) and Soler et al. (2012) documented a relationship between bacterial abundance and load with size of the uropygial gland, with the substances secreted by the gland hypothesised to act as antimicrobial defence. Here, we demonstrated that, when corrected for phylogeny, the level of EPP was positively related to uropygial gland size. Due to the potential transmission of bacteria through mating (Hillgarth 1996; Westneat and Rambo 2000), the relatively increased size of the uropygial gland, and hence amount of wax, could be an important defence mechanism to reduce this cost. Hence, we suggest that the increased size of the uropygial gland, and further the amount of wax, may have arisen as coevolutionary responses to reduce the associated costs of EPP.

    Species with higher intraspecific levels of EPP often show more intense selection on secondary sexual traits, caused by greater variance in reproductive success (Yezerinac et al. 1995; Møller 1997; Whittingham and Dunn 2005). Furthermore, there is a negative relationship between secondary sexual ornaments and the loss of within-pair paternity (Møller and Ninni 1998). Several hypotheses have linked the intensity of secondary sexual traits to parasite resistance, such as the Hamilton-Zuk (1982) hypothesis. The size of the uropygial gland has been shown to correlate positively with secondary sexual traits (Moreno-Rueda 2010), plumage brightness (Møller and Mateos-González 2019) and colour intensity (Amat et al. 2011). Moreover, ornamental feathers are more easily degraded by bacteria (Ruiz-Rodríguez et al. 2015; Azcárate-García et al. 2020), and individuals with larger uropygial glands were those better protecting their ornamental feathers from degradation, which could result in more attractive plumage (Ruiz-Rodríguez et al. 2015). Hence, secretions from the uropygial gland can be an important factor promoting the acquisition of gain extra-pair copulations since several of these are likely to be condition-dependent (Andersson 1994).

    In light of this finding, uropygial gland is likely influenced by sexual selection, but more research is needed in order to acquire a better understanding of the role of the uropygial gland in EPP. Studies using a representative measure of feather bacteria are needed to investigate the effect of uropygial gland secretions in relation to EPP. Furthermore, a similar interspecific investigation is needed regarding plumage brightness and coloration, although a positive relationship is found in species-specific studies (Galvan and Sanz 2006; Moreno-Rueda 2010; Amat et al. 2011). However, these two processes are not mutually exclusive, and they may act simultaneously as described here.

    Here we demonstrate, to our knowledge, the first finding of a positive relationship between the size of the uropygial gland and the level of EPP. This, together with previous findings of the role of uropygial gland, suggest that the size of uropygial gland size could be selected for through exaggeration of secondary sexual traits and/or signalling antimicrobial defence mechanism. This provides important insight to the role of secretions by the uropygial gland on EPP. Future investigations should focus on the effect of uropygial gland secretions and explore the relationship between EPP and size of uropygial gland at an intraspecific level.

    Supplementary information accompanies this paper at https://doi.org/10.1186/s40657-020-00226-5.

    We would like to thank Camilla Marnor, Simen C. Karlsen, Mikael A. Sætre and Per H. Rishøi for discussion of the literature in early parts of the study. Jordi Moya help us to implement R' scripts to perform the analyses of the 100 phylogenetic trees considered at the same time.

    APM conceived the idea. APM extracted the data. JJS made the comparative analyses. APM and JSS wrote the paper. All authors read and approved the final manuscript.

    The data on which this paper was made are fully available at the appendix of the manuscript.

    Not applicable.

    Not applicable.

    The author declares no competing interests.

  • Aronson MFJ, La Sorte FA, Nilon CH, Katti M, Goddard MA, Lepczyk CA, et al. A global analysis of the impacts of urbanization on bird and plant diversity reveals key anthropogenic drivers. Proc R Soc B. 2014;281:20133330.
    Canário F, Leitão AH, Tomé R. Predation attempts by Short-eared and Long-eared Owls on migrating songbirds attracted to artificial lights. J Raptor Res. 2012;46:232-4.
    Chace JF, Walsh JJ. Urban effects on native avifauna: a review. Landsc Urban Plan. 2006;74:46-69.
    Clarke JA. Moonlight's influence on predator/prey interactions between Short-eared Owls (Asio tlammeus) and deermice (Peromyscus maniculatus). Behav Ecol Sociobiol. 1983;13:205-9.
    Crawley MJ. The R Book. Chichester: Wiley; 2012.
    Da Silva A, Valcu M, Kempenaers B. Light pollution alters the phenology of dawn and dusk singing in common European songbirds. P Roy Soc B. 2015;370:20140126.
    Debrot AO. Nocturnal foraging by artificial light in three Caribbean bird species. J Caribb Ornithol. 2014;27:40-1.
    Dice LR. Minimum intensities of illumination under which owls can find dead prey by sight. Amer Naturalist. 1945;79:385-416.
    Dominoni DM, Greif S, Nemeth E, Brumm H. Airport noise predicts song timing of European birds. Ecol Evol. 2016;6:6151-9.
    Dykstra C, Simon M, Daniel F, Hays J. Habitats of suburban barred Owls (Strix varia) and red-shouldered hawks (Buteo lineatus) in Southwestern Ohio. J Raptor Res. 2012;46:190-200.
    Enríquez PL. Los búhos neotropicales: Diversidad y conservación. México: El Colegio de la Frontera Sur; 2015.
    Falfán I, MacGregor-Fors I. Woody neotropical streetscapes: a case study of tree and shrub species richness and composition in Xalapa. Madera bosques. 2016;22:95-110.
    Falfán I, Muñoz-Robles CA, Bonilla-Moheno M, MacGregor-Fors I. Can you really see 'green'? Assessing physical and self-reported measurements of urban greenery. Urban For Urban Gree. 2018;36:13-21.
    Fischer JD, Schneider SC, Ahlers AA, Miller JR. Categorizing wildlife responses to urbanization and conservation implications of terminology. Conserv Biol. 2015;29:1246-8.
    Francis CD, Ortega CP, Cruz A. Noise pollution changes avian communities and species interactions. Curr Biol. 2009;19:1415-9.
    Fröhlich A, Ciach M. Noise shapes the distribution pattern of an acoustic predator. Curr Zool. 2017;64:575-83.
    Fröhlich A, Ciach M. Noise pollution and decreased size of wooded areas reduces the probability of occurrence of Tawny Owl Strix aluco. Ibis. 2018;160:634-46.
    Fröhlich A, Ciach M. Nocturnal noise and habitat homogeneity limit species richness of owls in an urban environment. Environ Sci Pollut R. 2019;26:1-8.
    Fuller RA, Warren PH, Gaston KJ. Daytime noise predicts nocturnal singing in urban robins. Biol Lett. 2007;3:368-70.
    Galeotti P. Territorial behaviour and habitat selection in an urban population of the tawny owl Strix aluco L. Boll Zool. 1990;57:59-66.
    Gaston KJ, Bennie J. Demographic effects of artificial nighttime lighting on animal populations. Environ Rev. 2014;22:323-30.
    Gaston KJ, Bennie J, Davies TW, Hopkins J. The ecological impacts of nighttime light pollution: a mechanistic appraisal. Biol Rev. 2013;88:912-27.
    Gerhardt RP, Gerhardt DM, Flatten CJ, González NB. The food habits of sympatric Ciccaba Owls in Northern Guatemala. J Field Ornithol. 1994;65:258-64.
    González-Oreja JA. Relationships of area and noise with the distribution and abundance of songbirds in urban greenspaces. Landsc Urban Plan. 2017;158:177-84.
    Gorenzel WP, Salmon TP. Characteristics of American Crow urban roosts in California. J Wildl Manag. 1995;59:638-45.
    Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, et al. Global change and the ecology of cities. Science. 2008;319:756-60.
    Gryz J, Krauze-Gryz D. Changes in the tawny owl Strix aluco diet along an urbanisation gradient. Biologia. 2019;74:279-85.
    Hardouin LA, Robert D, Bretagnolle V. A dusk chorus effect in a nocturnal bird: support for mate and rival assessment functions. Behav Ecol Sociobiol. 2008;62:1909.
    Himsworth CG, Jardine CM, Parsons KL, Feng AYT, Patrick DM. The characteristics of wild rat (Rattus spp.) populations from an inner-city neighborhood with a focus on factors critical to the understanding of rat-associated zoonoses. PLoS ONE. 2014;9:e91654.
    Hindmarch S, Elliott JE. A specialist in the city: the diet of barn owls along a rural to urban gradient. Urban Ecosyst. 2015;18:477-88.
    Hölker F, Wolter C, Perkin EK, Tockner K. Light pollution as a biodiversity threat. Trends Ecol Evol. 2010;25:681-2.
    Holt DW, Berkley R, Deppe C, Enríquez-Rocha P, Petersen JL, Rangel-Salazar JL, et al. Mottled Owl (Ciccaba virgata). In: del Hoyo J, Elliott A, Sargatal J, Christie DA, de Juana E, editors. Handbook of the Birds of the World Alive. Barcelona: Lynx Edicions; 2019.
    Howell S, Webb S. A guide to the birds of Mexico and northern Central America. Oxford: Oxford University Press; 1995.
    INEGI. Prontuario de la información geográfica municipal de los Estados Unidos Mexicanos. Xalapa, Veracruz de Ignacio de la Llave. Clave geoestadística. 2009:30087.
    Isaac B, White J, Ierodiaconou D, Cooke R. Response of a cryptic apex predator to a complete urban to forest gradient. Wildlife Res. 2013;40:427-36.
    Isaksson C, Rodewald AD, Gil D. Behavioral and ecological consequences of urban life in birds. Front Ecol Evol. 2018;6:50.
    Kettel EF, Gentle LK, Quinn JL, Yarnell RW. The breeding performance of raptors in urban landscapes: a review and meta-analysis. J Ornithol. 2018;159:1-18.
    Knight E, Hannah K, Foley G, Scott C, Brigham R, Bayne E. Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs. Avian Conserv Ecol. 2017;12:14.
    Kotler BP, Brown JS, Hasson O. Factors affecting gerbil foraging behavior and rates of owl predation. Ecology. 1991;72:2249-60.
    Liu Z, He C, Zhou Y, Wu J. How much of the world's land has been urbanized, really? A hierarchical framework for avoiding confusion. Landsc Ecol. 2014;29:763-71.
    Lloyd H. Population densities of some nocturnal raptor species (Strigidae) in southeastern Peru. J Field Ornithol. 2013;74:376-80.
    Longcore T, Rich C. Ecological light pollution. Front Ecol Environ. 2004;2:191-8.
    Lövy M, Riegert J. Home range and land use of urban Long-eared Owls. Condor. 2013;115:551-7.
    Luther D, Gentry K. Sources of background noise and their influence on vertebrate acoustic communication. Behaviour. 2013;150:1045-68.
    Manzanares Mena L, Macías Garcia C. Songbird community structure changes with noise in an urban reserve. J Urban Ecol. 2018;4:1-8.
    Marín-Gómez OH, MacGregor-Fors I. How early do birds start chirping? Dawn chorus onset and peak times in a Neotropical city. Ardeola. 2019;66:327-41.
    Marín-Gómez OH, Toro Y, López-García MM, Garzón-Zuluaga JI, Santa-Aristizabal DM. First records of the Spectacled Owl (Pulsatrix perspicillata) in urban areas, with notes on reproduction. North-West J Zool. 2017;13:368-71.
    Marín-Gómez OH, Santiago-Alarcon D, Dátillo W, MacGregor-Fors I. Where has the city choir gone? Loss of the temporal structure of bird dawn choruses in urban areas. Landsc Urban Plan. 2020;194:103665.
    Mason JT, McClure CJW, Barber JR. Anthropogenic noise impairs owl hunting behavior. Biol Conserv. 2016;199:29-32.
    Maxwell SL, Fuller RA, Brooks TM, Watson JEM. Biodiversity: the ravages of guns, nets and bulldozers. Nature. 2016;536:143-5.
    Menq W, Anjos L. Habitat selection by owls in a seasonal semi-deciduous forest in southern Brazil. Braz J Biol. 2015;75:143-9.
    Merchant ND, Fristrup KM, Johnson MP, Tyack PL, Witt MJ, Blondel P, et al. Measuring acoustic habitats. Methods Ecol Evol. 2015;6:257-65.
    Mori E, Bertolino S. Feeding ecology of long-eared owls in winter: an urban perspective. Bird Study. 2015;62:257-61.
    Mori E, Menchetti M, Ferretti F. Seasonal and environmental influences on the calling behaviour of Eurasian Scops Owls. Bird Study. 2014;61:277-81.
    Odom KJ, Mennill DJ. Vocal duets in a nonpasserine: an examination of territory defence and neighbour-stranger discrimination in a neighbourhood of barred owls. Behaviour. 2010;147:619-39.
    Patón D, Romero F, Cuenca J, Escudero JC. Tolerance to noise in 91 bird species from 27 urban gardens of Iberian Peninsula. Landsc Urban Plan. 2012;104:1-8.
    Penteriani V, Delgado M. The dusk chorus from an owl perspective: eagle owls vocalize when their white throat badge contrasts most. PLoS ONE. 2009;4:e4960.
    Penteriani V, Delgado MD, Stigliano M, Campioni L, Sánchez M. Owl dusk chorus is related to the quality of individuals and nest-sites. Ibis. 2014;156:892-5.
    Poppleton M. Urban raptors: owl and hawk adaptation to urban centers. JUST. 2016;4:49-60.
    Priyadarshani N, Marsland S, Castro I. Automated birdsong recognition in complex acoustic environments: a review. J Avian Biol. 2018;49:e01447.
    R Core Team. R: A language and environment for statistical computing[Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2018. .
    Ralph CJ, Geupel GR, Pyle P, Martin TE, DeSante DF. Handbook of field methods for monitoring landbirds. Albany: U.S.D.A., Forest Service, Pacific Southwest Research Station. Gen. Tech. Rep. PSW-GTR-144; 1996.
    Ranazzi L, Manganaro A, Ranazzi R, Salvati L. Woodland cover and Tawny Owl Strix aluco density in a Mediterranean urban area. Biota. 2000;1:27-34.
    Rebolo-Ifrán N, Tella JL, Carrete M. Urban conservation hotspots: predation release allows the grassland-specialist burrowing owl to perform better in the city. Sci Rep. 2017;7:3527.
    Restrepo-Cardona JS, Betancur López A, Cano Castaño N. Abundancia y nuevos registros de búhos simpátricos en Manizales y Villamaría (Caldas, Colombia). Bol Cient Mus His Nat. 2015;19:220-9.
    Rivera-Rivera E, Enríquez PL, Flamenco-Sandoval A, Rangel-Salazar JL. Ocupación y abundancia de aves rapaces nocturnas (Strigidae) en la Reserva de la Biosfera Selva El Ocote, Chiapas. México. Rev Mex Biodiv. 2012;83:742-52.
    Rullman S, Marzluff JM. Raptor presence along an urban-wildland gradient: influences of prey abundance and land cover. J Raptor Res. 2014;48:257-72.
    Santiago-Alarcon D, Delgado VC. Warning! Urban threats for birds in Latin America. In: MacGregor-Fors I, Escobar-Ibáñez JF, editors. Avian ecology in Latin American Cityscapes. Cham: Springer; 2017. p. 125-42.
    Saufi S, Ravindran S, Hamid NH, Abidin CMRZ, Ahmad H, Ahmad AH, et al. Diet composition of introduced Barn Owls (Tyto alba javanica) in urban area in comparison with agriculture settings. J Urban Ecol. 2020;6:1-8.
    Scobie CA, Bayne EM, Wellicome TI. Influence of human footprint and sensory disturbances on night-time space use of an owl. Endanger Species Res. 2016;31:75-87.
    Senzaki M, Yamaura Y, Francis CD, Nakamura F. Traffic noise reduces foraging efficiency in wild owls. Sci Rep. 2016;6:30602.
    Serieys LE, Bishop J, Okes N, Broadfield J, Winterton DJ, Poppenga RH, et al. Widespread anticoagulant poison exposure in predators in a rapidly growing South African city. Sci Total Environ. 2019;666:581-90.
    Seto KC, Fragkias M, Güneralp B, Reilly MK. A Meta-analysis of global urban land expansion. PLoS ONE. 2011;6:e23777.
    Ševčík R, Riegert J, Šindelář J, Zárybnická M. Vocal activity of the Central European Boreal Owl population in relation to varying environmental conditions. Ornis Fennica. 2019;96:1-12.
    Shonfield J, Bayne EM. The effect of industrial noise on owl occupancy in the boreal forest at multiple spatial scales. Avian Conserv Ecol. 2017;12:13.
    Shonfield J, Heemskerk S, Bayne EM. Utility of automated species recognition for acoustic monitoring of Owls. J Raptor Res. 2018;52:42-55.
    Sierro J, Schloesing E, Pavón I, Gil D. European blackbirds exposed to aircraft noise advance their chorus, modify their song and spend more time singing. Front Ecol Evol. 2017;5:68.
    Slabbekoorn H. Songs of the city: noise-dependent spectral plasticity in the acoustic phenotype of urban birds. Anim Behav. 2013;85:1089-99.
    Sol D, Lapiedra O, González-Lagos C. Behavioural adjustments for a life in the city. Anim Behav. 2013;85:1101-12.
    Vázquez-Pérez JR, Enríquez PL. Factores temporales y ambientales asociados a los llamados de los búhos en la Reserva Selva El Ocote, Chiapas, México. Hornero. 2016;31:83-8.
    Weaving MJ, White JG, Isaac B, Cooke R. The distribution of three nocturnal bird species across a suburban-forest gradient. Emu. 2011;111:52-8.
    Wildlife Acoustics. . Accessed 20 May 2019.
    Williams-Linera G. Vegetación de bordes de un bosque nublado en el Parque Ecológico Clavijero, Xalapa, Veracruz, México. Rev Biol Trop. 1993;41:443-53.
    Zuur AF, Leno EN, Elphick CS. A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol. 2010;1:3-14.
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