Introduction

During feeding and preening, animals frequently interrupt their activities to look up within different time intervals to detect a given stimulus (Beauchamp 2003). During this vigilance behaviour, the animals scan their surrounding environment for potential predators (for reviews, see Elgar 1989; Roberts 1996; Treves 2000; Beauchamp 2003). As vigilance and other activities are often mutually exclusive (see Lima and Bednekoff 1999, for exception), such vigilance behaviour is at the expense of feeding, sleeping or preening and, therefore, incurs costs. Observational and experimental studies have shown that most wild animals increase their vigilance in the presence of a predator independently whether these predators were detected or experimentally presented via visual (Pöysä 1987), acoustical (Randler 2006) or chemical traits (Monclús et al. 2005). In domestic animals, the time spent being vigilant is used as a measure of fear towards new stimuli (Welp et al. 2004).

Human-caused disturbance stimuli are considered a form of predation risk (Frid and Dill 2002) and these disturbances often negatively affect wildlife (Pomerantz et al. 1988; Skagen et al. 1991; Holmes et al. 1993; Klein 1993; Klein et al. 1995; Hill et al. 1997; Blumstein et al. 2005; but see as an exemption, e.g. wildlife in parks and on islands that do not show a predator-specific reaction towards humans). Apart from other human disturbances, free-ranging or unleashed dogs (Canis familiaris) present a major threat and disturbance factor in many animal species and at different localities during all season (see, for overview, Sime 1999; Miller et al. 2001; for parks in Madrid, see Fernandez-Juricic and Telleria 2000). Dogs are often present in natural, suburban and recreational areas as companions of humans seeking recreation and physical or wildlife-related activities. Therefore, dogs account for a large proportion of disturbances (e.g. Fernandez-Juricic and Telleria 2000; Randler 2003). Authors of many wildlife disturbance studies concluded that people with dogs, dogs on leash or loose dogs provoked the most pronounced disturbances, e.g. greatest flushing distances, longest duration and highest numbers of individuals affected (Sime 1999; Randler 2003). Dogs are canid-like predators, and canids are natural, evolutionary predators of many, if not all, wildlife species (Sime 1999). Concerning birds, the presence of dogs has an impact on incubating birds (Keller 1989; Yalden and Yalden 1990), on breeding display (‘lekking’; Baydack 1986), on foraging (Hoopes 1993) and on roosting (Keller 1991). Disturbances by pedestrians usually cause flushing responses at a given distance and these distances were greater when the pedestrians were accompanied by dogs (Burger 1986; Hanson and Grant 1991; Ingold et al. 1993; Randler 2003). Furthermore, greylag geese Anser anser seem able to distinguish between dogs on leash and free-ranging dogs (M. Weisser, unpublished data) and swan geese Anser cygnoides were found to react differently towards dogs of different sizes (Randler 2003). Despite much observational evidence, studies on experimental disturbances using dogs are scarce (Gabrielsen and Smith 1995; Sime 1999).

As a consequence, dogs are often excluded in natural areas or in wildlife sensitive regions. If exclusion is impossible, dogs should be walked on a lead. However, dogs on leash may also negatively affect wild animals, e.g. if these species would respond to dog barking. Hence, barking dogs—although on a lead—may be also be perceived as a kind of predation. Dogs on leash seldom bark but mostly do when stimulated by their owners. Barking may lead to an increased vigilance at the expense of other activities even if the dog itself is invisible to the disturbed subjects. This might also negatively affect the time budgets of animals. However, free-ranging dogs mostly flush their potential prey rather than provoking a higher vigilance. Nevertheless, when free-ranging dogs are farther away, vigilance may also increase despite the fact that the dog does not provoke a flushing response, because fleeing is traded off against remaining in the place (Ydenberg and Dill 1986).

The quality of the behavioural approach in the study of the impact of human disturbances and its population consequences has been vividly discussed (Gill et al. 2001; Blumstein et al. 2005). However, the large body of vigilance studies showed that this parameter seems to be a good metric to estimate possible consequences on fitness because vigilance is traded off against other activities such as feeding, preening or resting. A higher amount of vigilance is supposed to negatively affect an individual’s foregoing. Nevertheless, there are only a handful of studies that examine fitness consequences in terms of lifetime reproductive success of anti-predator behaviour (Lind and Cresswell 2005). Nonetheless, measuring vigilance as a variable seems to be a useful approach because an increase in vigilance detracts an animal from other activities. This might not always have consequences for fitness and may represent a relationship with a pronounced threshold above which fitness consequences may be serious. Yasué ( 2005) further emphasises the importance of examining behavioural changes. Many studies focus only on displacement (flight initiation distances) rather than on less obvious measures such as behavioural changes (see, for a review, Thomas et al. 2003).

In this study, I tested whether coots responded to an acoustic stimulus of a predator (dog barks) with an increased vigilance. The anti-predator and vigilance behaviour of coots is well studied (Randler 2004, 2005a,b) and this species is therefore suitable for such an investigation.

Materials and methods

Species and study sites

Coots are waterbirds (Rallidae, order Gruiformes) and widely dispersed and abundant in freshwater lakes and streams throughout the northern hemisphere. The species usually forages both on land and in the water, mainly on plants or molluscs, and is of medium size (approximately 24.5 cm in length, 600–1,265 g; Glutz von Blotzheim et al. 1973). The natural predators of coots are either aerial, such as goshawk Accipiter gentilis, peregrine Falco peregrinus, black kite Milvus migrans, marsh harrier Circus aeruginosus (Glutz von Blotzheim et al. 1973), or terrestrial (fox Vulpes vulpes and stoat Mustela erminea; Glutz von Blotzheim et al. 1973).

I obtained samples from three different habitats in southwestern Germany: (1) Ehmetsklinge (8°55′ W, 49°09′ N; 227 m asl),(2) Breitenauer See (9°23′ W, 49°08′ N; 230 m asl) and (3) Monrepos (9°10′ W, 48°56′ N; 238 m asl). All habitats are used by humans for recreation during all season, and Ehmetsklinge and Breitenauer See were used for bathing and swimming purpose during the summer (i.e. between the end of May and September according to weather conditions). At both sites, dogs are excluded between 1 April and 31 August. (Ehmetsklinge) and between 15 April and 30 September (Breitenauer See). In all three habitats, domestic dogs (C. familiaris) could be considered as a kind of predator as coot fled into the water when unleashed dogs occurred (personal observation). The flushing distance at where escape responses occurred was approximately 50 m. Field work was restricted to the time span when the dogs were present.

Playback procedure

I used preening coots and not feeding individuals as it was often impossible to follow a specific individual feeding in a dense flock during the two playback procedures. Furthermore, vigilance during feeding may be mediated by saturation and food density (Elgar 1989; Beale and Monaghan 2004; Yasué 2005) or by competition (Beauchamp 2003; Randler 2005b). Preening coots were usually found in shallow water approximately 1 m from the waterline. Therefore, the distance to a refuge does not influence the behaviour. I randomly chose one preening coot from a flock and videotaped 30-s pre-stimulus, 30-s stimulus and 30-s post-stimulus sequences. I videotaped the coots using a JVC GR-PD1 digital video camera with a ×16 zoom lens mounted onto a tripod. The coots had habituated to human visitors so concealment was unnecessary and the videotaping was carried out from a place where there was no obvious influence on the birds’ behaviour (∼25 m).

To test the hypothesis that the coots may increase their vigilance as a response to dog barks, I used three different playbacks. First, the playback of dog barks was used as treatment stimulus. These barks were obtained from the British Sound Library. I used dog barking from five different recordings and created five playback tapes to avoid pseudo-replication (Kroodsma 1989).

Second, the coot alarm calls were obtained from different sound recordings (Roché 1995; Kosmos 2002; Schulze 2003). These calls were recorded in Europe at different locations, mainly in France (J.C. Roché, personal communication; K.-H. Dingler, personal communication). The coot calls were edited to minimise background noises using a Grundig 437 CD player and AIWA CX-Z87M cassette recorder. I created four different coot playback tapes.

Third, the territorial song of the chaffinch Fringilla coelebs is considered a non-threatening sound and was used as a control stimulus. This song was also obtained from a commercial sound recording (Roché 1995). Chaffinches are common songbirds breeding in the vicinity of all three locations, and they produce relatively loud songs. Furthermore, chaffinches are present all year round. This control is necessary to test whether the coots would respond to any loud sounds in their environment (Shriner 1998).

In addition, behavioural recordings without playback were sampled during a period of 30 s before and after the broadcasting of the different stimuli. The playbacks were broadcast using a small portable Toshiba MCR 103 cassette recorder. The different playback tapes were standardised at approximately 75 dB measured at a 1-m distance from the speaker using a Lutron SL 4001 digital sound level meter with A-level weighting [dog barking, 76.6±0.6 (range 75–78 dB; N=5); coot, 73.9±2.4 (range 67–78 dB; N=4); chaffinch 80 dB (N=1)].

The trials were conducted within two seasons, in spring between 8 February 2005 and 2 March 2005 and in autumn between 31 August 2005 and 4 November 2005 always in the morning between 0745 and 1200 hours central European time, outside the period when dogs were forbidden. I used a matched-pair design (Kroodsma 1989). This experimental design holds many environmental variables constant and is described as a within-subject procedure by Kroodsma (1989).

I usually started the matched-pair comparison with the playback of dogs (N=14 and in N=4 with coot first) because I expected the conspecific stimulus to be strongest, thus providing the greatest potential for carryover in response to subsequent stimuli (Martin and Martin 2001). Afterwards, I waited until the coots resumed to a baseline level of vigilance (see, Karpanty and Grella 2001) before broadcasting the next stimulus.

Although the populations of coots were not individually marked, it is highly unlikely that the same coot has been sampled more than once. The maximum counts of coots were N=20 at Monrepos, N=50 at Ehmetsklinge and N>100 at Breitenauer See. Two or three trials were usually carried out per day (between one and five on 1 day; mean 2.35±0.26 trials/day; median 2). However, these trials were temporarily—and sometimes spatially—separated from each other. The coot used the total area for feeding but only a few places for preening. Therefore, preening individuals changed within the same day because coots left the preening areas after 2 to 10 min to resume feeding elsewhere. I numbered the experimental trials per day (1=first experimental treatment, 2=second), but the number of trials per day per site did not correlate significantly negatively with vigilance time as would be expected when habituation had occurred (Kendall–Tau, always P>0.05). Therefore, the results do not seem to be affected by habituation.

Data handling and statistics

I counted scanning events (number of head-up scans) and the total scan duration. All data were measured with a precision of 0.1 s and are based on the three 30-s trials (pre-playback, playback and post-playback period). I did not use the results concerning scanning events, because scanning events are helpful when they are rather short (see, for a review, Randler 2005a,b) and when coots showed only short scan durations (as is usual without playbacks). However, during playbacks, coots increased their vigilance because they increased their scan durations, i.e. some individuals looked up and they remained vigilant until the playback ended. Furthermore, the total amount of vigilance seems the most relevant factor because it influences time budgets significantly. As some coots left the area during the post-stimulus period, I interpolated data when at least 15 s could be sampled. I sampled a total of 37 different coots: 27 received dog playbacks and 18 therefrom additionally received coot playbacks (matched pairs). Out of the initial 27 individuals, nine left the preening area before the second stimulus was broadcast. An additional independent sample of ten coots received the chaffinch (control) playback.

To quantify the responses towards the different stimuli, I subtracted the baseline level of vigilance (pre-stimulus) from the vigilance level during the stimulus presentation for each individual coot and used the behavioural change for comparison.

I used matched-paired t test to compare pre-playback, playback and post-playback stimuli, because the same individuals were used (three 30-s periods). To compare dog barks and chaffinch song, I used the independent t test.

Results

During playbacks of dog barks, coots increased their time spent being vigilant significantly from (means±SE) 5.1±0.37 to 8.5±1.10 s (t=3.339, df=26, P=0.003; Fig. 1). Expressed in percent, vigilance increased from 17 to 28% during the playback of dog barks. Vigilance also increased during conspecific coot alarm calls from 5.6±0.61 to 16.4±2.17 s (t=4.784, df=17, P<0.001; Fig. 1), but not during playbacks of chaffinches which served as a control (5.4±1.14 vs 5.1±0.75 s; t=0.320, df=9, P=0.756, n.s.). During the 30-s post-playback period, vigilance remained higher compared to the pre-stimulus period after the broadcast of coot alarm calls (t=2.80, df=14, P=0.014) and of the dog barks (t=2.352, df=24, P=0.027) but not after the chaffinch song (t=1.671, df=8, P=0.133). After subtracting the baseline pre-playback vigilance (see “Materials and methods”), coots responded with a significantly longer vigilance to conspecific calls compared to dog barking (t=3.090, df=17, P<0.007), suggesting that conspecific calls elicit a stronger reaction. Compared to the chaffinch control, coots responded with longer time spend vigilant during dog barking (t=2.081, df=35, P=0.045).

Fig. 1
figure 1

Coots responded to dog barks and coot alarm calls with a significant increase in vigilance, but not during playbacks of chaffinch song. Vigilance remained higher in the post-playback period after coot and dog playbacks. The figures are based on three 30-s stimuli (before, during and after the playbacks; mean±SE). *P<0.05, **P<0.01. The statistical comparisons are made between pre-playback periods and playback stimuli, and between pre-playback and post-playback periods

Discussion

When exposed to coot alarm calls and dog barks, coots increased their vigilance. This could be interpreted as anti-predator behaviour (Pöysä 1987; Welp et al. 2004; Caro 2005). There was no significant response towards the chaffinch song broadcast at the same volume. This indicates that coots were not simply responding to any loud sounds in their environment (Shriner 1998). Two main findings result from the study: (1) coots respond to acoustic traits of a ‘novel’ predator in evolutionary terms and may have developed some kind of acoustic predator recognition and (2) this response—an increase in vigilance time—might have implications for conservation.

The response, although highly significant, did not elicit escape reactions as did with that of an approaching dog (personal observation). This might support the “seeing is believing” hypothesis (van der Veen 2002), namely, that the information about a potential predator received by an acoustical cue could not be validated by vision and, therefore, no strong escape response was provoked. The animals seem to respond stronger towards visual stimuli compared to acoustic ones (Blumstein et al. 2000). Fleeing also incurs costs and should be under selection pressure (Ydenberg and Dill 1986). Furthermore, the vigilance behaviour of the coots may have been influenced by flock size and by site. The sample size is too small to test these hypotheses. Nevertheless, in the matched-pair comparisons, flock size was similar within each trial, suggesting that the increase in vigilance generally persists over different flock sizes, but this aspect would be worth further experiments, and I suppose that the percentage of increase in vigilance may depend on flock size (negative correlation).

Implications for conservation

Although Fernandez-Juricic et al. (2001a) showed that habituation to disturbances by dogs occur in highly urbanised habitats, this may not hold true in more natural areas. As animals rarely have perfect information about their predators, they are expected to overestimate rather than underestimate predation risk to maximise fitness (Frid and Dill 2002). Habituation, although it generally occurs, is often partial and negligible (Frid and Dill 2002) and may be restricted to highly urbanised areas, such as urban parks (Fernández-Juricic et al. 2001a, 2004; but see as an exemption, e.g. wildlife on islands that do not show a predator-specific reaction towards humans). When considering buffer zones around sensitive areas (e.g. Rodgers and Smith 1997), the detrimental effects of such acoustic “environmental pollution” by barking dogs should be taken into account and buffer zones, therefore, should be much wider than could be inferred from flushing distances. If buffer zones were established by conservation managers, e.g. by using flushing distances of sensitive species, another (wider) buffer zone is needed where dogs were excluded to avoid disturbances imposed by barking. Furthermore, in sensitive areas, it should be discussed whether dogs should be generally excluded, rather than allowing people to walk them on leash. Although coots are not threatened species, these results could be representative for endangered species as well.

Flushing distances are usually considered a good measurement for the planning of buffer zones (Anderson 1988; Madsen 1988; Blumstein et al. 2003), although not an unquestioned one (e.g. Gill et al. 2001; Beale and Monaghan 2004). Apart from flushing distances, other measurements related to anti-predator behaviour or disturbance reactions, such as vigilance (Fernández-Juricic et al 2001b, 2004), therefore, deserve further attention. While Fernández-Juricic et al. (2001b, 2004) already introduced differences between flushing distance and states of alertness/vigilance, the total time spent being vigilant might be also important. For example, in the teal Anas crecca, the individuals increase their vigilance (proportion of time spent scanning) in the presence of a predator from 36.2 to 54.3% during feeding with head submerged, from 29.6 to 36.2% when feeding with head and neck submerged and from 30.5 to 46.9% when feeding by up-ending (Pöysä 1987). During the dog playbacks, vigilance increased from 17 to 28%. However, vigilance behaviour also occurs in natural ecosystems without the presence of humans and is a part of the daily activity pattern. In evolutionary terms, vigilance should not always have negative impacts on the fitness or the survival of the individual bird. However, every individual should have optimised its trade-off between vigilance and other activities (Ydenberg and Dill 1986). There exists perhaps a critical threshold above which an increase in vigilance acts as detrimental. This might be the case during cold and short days during winter when energetic requirements are rather high (see, e.g., studies in geese; Owen et al. 1992) or during feeding young, when an increased vigilance detracts, e.g. male geese from feeding, resulting in significant mass loss (Weisser and Randler 2005). More studies are needed to quantify these effects.

However, disturbance might also result in non-visible behaviour, e.g. in the freezing response, which also incurs stress provoked by hormonal or physiological processes (Gabrielsen et al. 1985; Gabrielsen and Smith 1995; Fowler 1999). Time spent being vigilant during disturbances may be a useful measurement of a behavioural response, bridging the gap between flushing distances on the one side and physiological responses, which are more difficult to measure, on the other.