- Open Access
Host response to cuckoo song is predicted by the future risk of brood parasitism
© Kleindorfer et al.; licensee BioMed Central Ltd. 2013
- Received: 11 December 2012
- Accepted: 14 May 2013
- Published: 22 May 2013
Risk assessment occurs over different temporal and spatial scales and is selected for when individuals show an adaptive response to a threat. Here, we test if birds respond to the threat of brood parasitism using the acoustical cues of brood parasites in the absence of visual stimuli. We broadcast the playback of song of three brood parasites (Chalcites cuckoo species) and a sympatric non-parasite (striated thornbill, Acanthiza lineata) in the territories of superb fairy-wrens (Malurus cyaneus) during the peak breeding period and opportunistic breeding period. The three cuckoo species differ in brood parasite prevalence and the probability of detection by the host, which we used to rank the risk of parasitism (high risk, moderate risk, low risk).
Host birds showed the strongest response to the threat of cuckoo parasitism in accordance with the risk of parasitism. Resident wrens had many alarm calls and close and rapid approach to the playback speaker that was broadcasting song of the high risk brood parasite (Horsfield’s bronze-cuckoo, C. basalis) across the year (peak and opportunistic breeding period), some response to the moderate risk brood parasite (shining bronze-cuckoo, C. lucidus) during the peak breeding period, and the weakest response to the low risk brood parasite (little bronze-cuckoo, C. minutillus). Playback of the familiar control stimulus in wren territories evoked the least response.
Host response to the threat of cuckoo parasitism was assessed using vocal cues of the cuckoo and was predicted by the risk of future parasitism.
- Cuckoo recognition
- Cuckoo threat
- Risk perception
- Song discrimination
- Deterrent behaviour
Risk assessment and behavioural response towards a threat are important areas of individual competence that influence survival and fitness[1, 2]. Throughout a lifetime, individuals are faced with a variety of threats, including infectious disease, adverse weather conditions, limited food availability, predation and brood parasitism. Both predation risk and brood parasitism have the attribute that they create a sudden threat, such as being killed or injured, or lowered reproductive success after a single moment of parasitism. Thus, individuals may be selected for different patterns of risk assessment based on the magnitude of risk and the temporal time-frame during which the threat can be detected[3, 4].
Theoretically, selection should favour cues that facilitate the recognition of a costly interaction, including the degree of risk of the interaction. These cues may come directly from the threat, such as the vocalisation of a predator or the sight of a brood parasite[6, 7]. Or animals may evaluate indirect cues about the risk of interaction from the alarm signals of conspecifics or heterospecifics[4, 7–11]. Threat recognition may be followed by the process of risk assessment, an evaluation of the situation, and an adaptive defence response. There is ample evidence that mammalian species have referential signalling for different predators [e.g. and also evidence in both mammals and birds that individuals perceive and respond to the level of threat in an interaction[3, 11–14]. Furthermore, the risk of a threat may change during an encounter and consequently risk assessment should also be dynamic, whereby individuals modify their response according to perceived risk as proposed by Curio and colleagues and amply tested in host-parasite systems[2, 15, 16].
In the context of predation threat, risk assessment usually includes two risk components: risk to self of defending against the predator, and risk to offspring of being consumed by the predator. Thus, the observed defence behaviour (investment and risk taking) towards a specific predator is a result of both risk components. When the predation threat for defending parents is very high, and when parental death would result in the deaths of dependent offspring, parental risk taking should focus on parental survival. But parents could show a Kamikaze response and sacrifice their lives if offspring have a chance of survival without parental care, especially when parents have little opportunity for future reproduction. For these reasons, analysis of risk assessment and response to threat in predation contexts needs to be interpreted within a life-history framework that addresses trade-offs for parents and offspring between reproductive investment and survival, and current versus future reproductive opportunity[10, 18].
Brood parasites do not represent a survival risk to defending parents. Therefore, brood parasite-host systems provide ideal conditions to study risk taking and parental investment specifically in relation to brood survival while controlling for risk to parental survival.
There is ample evidence that parent birds show nest defence towards brood parasites. When brood parasites are in the vicinity and attempting to lay eggs, hosts have been shown to respond with mobbing or aggressive behaviour and increased vigilance at the nest – and thereby lower the probability of parasitism by brood parasites. Several studies have articulated how costs to the host and benefits to the brood parasite can drive the coevolution of deception and detection[13, 21–23], thereby leading to complex recognition systems and discriminatory behaviour by both the host and the brood parasite[21, 22, 24–31]. Given that the risk of the defending parents to a secretive egg-laying brood parasite is virtually zero, the question arises whether hosts could evolve a fine tuned (dynamic) risk assessment and response towards the brood parasite adult.
Most examples of an evolutionary arms race include two combatants: one host and one parasite. But what if complex recognition systems and consequently dynamic risk assessment have more than two combatants? Here we use superb fairy-wrens (Malurus cyaneus) as a model species to assess risk perception in the context of multiple brood parasites. The species is suited for this investigation because superb fairy–wrens suffer multiple parasites, namely Horsfield’s bronze-cuckoo (Chalcites basalis) and shining bronze-cuckoo (C. lucidus), while little bronze-cuckoo (C. minutillus) is geographically allopatric and parasitises several songbird species. Therefore, for the superb fairy-wren, each of these cuckoo species poses a different level of risk of brood parasitism. According to observed parasitism from previous studies, the highest risk of parasitism is from Horsfield’s bronze-cuckoo, a moderate risk of parasitism is from shining bronze-cuckoo, and the lowest risk of parasitism is from little bronze-cuckoo (see methods for details). Furthermore, superb fairy-wrens are able to acoustically discriminate (1) heterospecific alarm calls in predator contexts[32, 33], (2) individually distinct alarm vocalisations of conspecifics[11, 34–36], and (3) conspecific and heterospecific nestling begging calls[22, 37]. Thus, we predict that wrens are able to discriminate cuckoo species that pose different levels of brood parasite risk to wrens according to the vocalisation of adult cuckoos.
Several studies have examined risk assessment in the context of host-brood parasite interactions, and have shown that hosts consistently respond to visual cues about the threat of brood parasitism[14, 38]. This response includes hosts abandoning abnormal-looking eggs[21, 39] and single nestlings[22, 30], while the brood parasites mimic host eggs[26, 40–42] and/or nestling skin coloration[38, 43–45]. We have recently shown that superb fairy-wren embryos learn a begging call password while in the egg, and that parent birds use the presence or absence of the correct learned password in the nestlings’ begging call for the decision to feed or abandon the brood. Clearly, it would be even more advantageous to use acoustical cues that signal brood parasite presence and increase host deterrence behaviour before egg laying. While brood parasites also produce vocalisations, few studies have tested the response to these signals by eavesdropping hosts[46, 47]. Hosts that detect a brood parasite before it lays an egg could prevent it from parasitising the nest[6, 48–51]. Therefore, we predict a selective advantage for potential hosts in detecting and using the song of cuckoos as they attempt to attract a mate before egg laying.
The first aim of our study is to determine whether superb fairy-wrens respond to parasite vocalisation and if the hosts are able to discriminate between varying threats represented by the different parasite species. We secondly aim to investigate whether investment into brood defence varies according to (1) the risk of brood parasitism, (2) the energetic cost of defence behaviour: we assume that alarm calls require less energy, and that approach to the threat requires more energy, and (3) the seasonal probability of parasitism risk, comparing the low risk period (opportunistic breeding by the host) and high risk period (peak breeding activity of the host). Survey data show that brood parasites have the highest song intensity during the host’s peak breeding period[52, 53]. The geographically sympatric brood parasites studied here are partial migrants and some individuals remain in the territory across the year.
To test acoustical discrimination and investment by adult wrens towards heterospecific cuckoo songs (produced presumably by cuckoos for mate attraction and territory defence), we compare host wren response as the number of alarm calls (low cost behaviour), approach distance (high cost behaviour), and latency to respond to the broadcast of a song stimulus in the wren territory during the peak (September and October) and opportunistic (April and May) breeding periods. The song stimuli used in the experimental playback trials were previously recorded from a sympatric non-parasite and three cuckoo species. Given that the threat posed by a singing brood parasite to the defending host is low, several predictions can be formulated to quantify risk assessment in the absence of threats to parental survival: (1) If wrens recognise the level of threat (cuckoo species) for offspring survival based on vocalisations, they should respond differently to the vocalisation of a threat (sympatric cuckoo species) versus the vocalisation of a non-threat (allopatric cuckoo and sympatric non-parasite, in this case striated thornbill, Acanthiza lineata). This prediction is about macro-level risk perception for the threat posed by brood parasites versus non-brood parasites. (2) At the micro-level of risk perception, we would expect wrens to react differently to vocalisations of different cuckoo species (species-level threats) that pose different levels of risk of brood parasitism. (3) If wrens adjust their response intensity based on the energetic costs of the defence and the risk probability, then we expect that low cost defence (alarm calls) will be observed across the year to the cuckoo species that pose the highest threat, but high cost defence (approach) would only be observed during the peak breeding period.
(a) Cuckoo response to playback of cuckoo song
Seven Horsfield’s bronze-cuckoos (high risk cuckoo) responded to the playback of Horsfield’s bronze-cuckoo song and approached within 20 m of the playback speaker during the peak breeding period (total number of trials = 71). During the opportunistic breeding period (total number of trials = 78), one Horsfield’s bronze-cuckoo responded by calling within 20 m to the conspecific playback. The shining cuckoo did not respond to our playback trials. The cuckoo response was significantly different between peak and opportunistic breeding periods (Likelihood Ratio = 5.75, P = 0.016).
(b) Host response to playback of cuckoo and thornbill song
Comparing wren response to the vocalisation of brood parasites and a familiar non-parasite (striated thornbill) our results clearly revealed a stronger response towards brood parasites (MANOVA: Calls F3,173 = 14.973, P < 0.001; Approach F3,173 = 13.419, P < 0.001; Latency F3,173 = 7.582, P < 0.001; see Figure 1). The response to the familiar non-parasite was virtually zero and did not vary between the peak and opportunistic breeding periods (for all response behaviours P > 0.3). Post-hoc tests showed that wren response as calls, approach, and latency to the familiar non-parasite (control) was significantly lower in comparison to playbacks of all cuckoo species (for all P < 0.001).
Table 1 The response of superb fairy-wrens to the playback of cuckoo song (N=149 cuckoo playback experiments) on Kangaroo Island during the (a) opportunistic breeding period (low cuckoo risk) (N=78 trials), and (b) peak breeding period (high cuckoo risk) (N = 71 trials) of the host.
a) Opportunistic breeding period
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
b) Peak breeding period
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
During the opportunistic breeding period, wrens still responded significantly differently to the cuckoo species – but only for calls and not approach or latency (Figure 1, Table 1). Post-hoc pairwise comparisons showed significant differences in wren response for calls between high risk cuckoo and both intermediate and low risk cuckoo (both P < 0.01), but no difference between calls to low and intermediate risk cuckoo (P > 0.2). As Figure 1 shows, the number of alarm calls increased along a gradient of cuckoo risk from low to high risk cuckoo species. There were no significant pairwise differences for the other response behaviours (all P > 0.2).
A single model test of the response of superb fairy-wrens to the playback of cuckoo song (N=149 cuckoo playback experiments) on Kangaroo Island
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
Playback × Breeding Period
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
No. of Alarm Calls
Min. Distance to Approach (m)
Latency to Respond (s)
The results of this study on host perception of a current threat in relation to the future risk of brood parasitism raise intriguing questions about adaptive risk assessment. Fairy-wrens were clearly able to discriminate sympatric and allopatric brood parasite species, as well as the control. Thus, our first prediction was supported given that the host birds showed a differentiated response across species. The second prediction was also supported given that the intensity of host response was predicted by the risk associated with the stimulus. This differentiation provides compelling evidence that fairy-wrens discriminated between particular cuckoo species (threat) – and perhaps between particular risk. The risk of cuckoo parasitism was assessed based on the probability of parasitism by the cuckoo, and the probability of detection by the host. Cuckoo species that were more likely to parasite the host and less likely to be detected were assessed as being of higher risk. Wrens responded more strongly to the playback of the high risk cuckoo than the moderate or low risk cuckoo. The strength of the response was characterised by the number of alarm calls, the approach distance, and the rapidity of response to the playback speaker (see Figure 1). The strongest response – with many alarm calls, rapid and close approach – was observed towards Horsfield´s bronze-cuckoo, which also represents the highest risk for successful brood parasitism of wren nests. The overall highest response was observed for the Horsfield´s bronze-cuckoo during the peak breeding period, when the risk of brood parasitism was also highest. Wrens had the lowest response to the allopatric cuckoo species that poses the lowest risk of parasitism but the response was still significantly higher than to the familiar control stimulus (see also).
The fine-tuned response towards different cuckoo species, even species that do not occur in the area, is very surprising and raises the question of how this acoustical recognition may work. Other studies of risk perception in host-brood parasite systems have also found a strong response by hosts to the presence of brood parasites[6, 48, 56]. But the previous studies (1) combined visual and acoustical stimuli, and/or (2) studied the host response to one species of brood parasite[23, 57–59]. In our study, host birds showed threat discrimination towards the song of several brood parasites in the absence of visual stimuli. This finding opens up many questions about the mechanism and function of heterospecific song discrimination and stimulus association in the context of risk. We discuss below how the stimulus association between song and risk perception could be shaped by learned association and experience.
There are several sources of evidence for host-brood parasite threat perception and discrimination. For example, yellow warblers (Dendroica petechial) showed a differentiated response to playback of intruder cowbird song based on sex: yellow warblers responded more strongly to female cowbirds (Molothrus ater) (they invade the host nest) than male cowbirds (they may accompany females to find host nests), and had the lowest response to the control song sparrow (Melospiza melodia)[48, 49]. Other studies have inferred host risk perception given effects of local brood parasite density on host response sensitivity. In areas with many cuckoos, reed warbler (Acrocephalus scirpaceus) hosts more often mobbed the cuckoo mount placed near the nest, but tended to remain hidden in areas with few cuckoos. Some of the variance in the response intensity by the host is explained by the hosts’ experience with that threat in the local population (but see). In our study site, the high risk cuckoo (to which the wrens also had the highest response) was also the most common cuckoo species.
There is a growing body of research on mechanisms of cuckoo discrimination that involve social transmission[70–72], trial-and-error learning[22, 73], visual and temporal cues such as hatch order, and non-phenotypic discrimination cues. From an ontogenic perspective, we suggest that cuckoo density could stimulate neural organisation through the frequency of singing either in embryos or fledglings, and that such neural organisation could correlate with recognition of cuckoo song by adult wrens. In this scenario, we would predict that neural organisation in developing wrens would be influenced by the stimulus intensity (density) of cuckoo song in the natal breeding ground, which remains to be tested. In addition, adult hosts could have experience with cuckoos from their earlier breeding seasons, which may result in higher discrimination towards familiar stimuli. This prediction can be tested by comparing the response of naive and experienced breeders. But caution is required to equate age with breeding experience, given that many southern hemisphere species may postpone breeding for several years until conditions are favourable. Hence, southern hemisphere populations may have a proportion of old but inexperienced breeders.
Our third prediction about the type (low cost, high cost) of anti-parasite behaviour and the risk of brood parasitism is also supported. In this study, we compared wren response to the playback of cuckoo song during a period of high risk of cuckoo parasitism (peak breeding period) and a period of low risk of cuckoo parasitism (opportunistic breeding period). Wrens showed a differentiated response to the cuckoo species between the breeding periods (Table 2). In general, the wrens had a much lower response to all cuckoo species during the opportunistic breeding period – but they nonetheless had a higher number of alarm calls to the high risk cuckoo (Figure 1). During the peak breeding period, the wrens had a consistently higher response to all cuckoo species, with the strongest response to the high risk cuckoo, an intermediate response to the intermediate risk cuckoo, and a low response to the low risk cuckoo. Stated in terms of the purported energetic cost of defence, wrens adjusted their response according to cuckoo species for low cost behaviour (alarm calls) but not for high cost behaviour (approach). During the opportunistic breeding period, the high cost behaviour (approach) was infrequent and was not differentiated across the cuckoo species (Figure 1), but the low cost behaviour (alarm calls) was highest for the high risk cuckoo species. During the peak breeding period, the high cost behaviour (approach) was more frequent and was highest to the high risk cuckoo. The higher incidence of high cost defence behaviour during the peak breeding period is likely an adaptive response because wrens are at the greatest risk of brood parasitism at that time. Other studies have also found a temporal pattern of cuckoo defence during the breeding season – with higher nest-protection behaviour by hosts towards brood parasite mounts during the egg-laying phase or early in the breeding cycle[6, 57, 77]. We extended this temporal framework to test host response to the threat of a cuckoo species in their territory. The host species is long-lived, highly territorial, and sedentary year-round. We argue that defence against a brood parasite should also occur outside the peak breeding period. Sedentary and long-lived hosts are predicted to benefit if their defence behaviour results in brood parasites leaving the area or avoiding a particular area for attempted egg-laying in the future.
To test predictions about the adaptive response towards a threat, we need to observe variation in the response over a wide range of conditions. We tested host response towards a range of conditions, from (1) highest risk in the presence of a very efficient brood parasite during the main breeding period, to (2) lowest risk in the presence of a non-parasite or geographically allopatric brood parasite outside the main breeding period. We needed negative and positive controls to test if the difference in host response was explained by the experimental stimuli across a range of conditions. The non-parasite and the geographically allopatric parasite outside the breeding period were the two negative controls for comparison; the two geographically sympatric parasites across the year were the positive controls. The findings in this study support our initial predictions about dynamic risk assessment: wrens showed a plastic risk response across cuckoo species and the temporal context of the risk.
In conclusion, hosts showed a differentiated response to the threat posed by an acoustical stimulus that was associated with future risk of cuckoo parasitism. Our functional interpretation of these findings is that hosts that perceive and respond to the threat of brood parasitism before egg-laying by the cuckoo should have lower brood parasitism. Here, we show that host birds had the strongest response to the mating song of the cuckoo species that was most likely to attempt brood parasitism at their nest in the next weeks (see also). This finding offers several avenues for new research focusing on the mechanism of discrimination as well as the ontogeny of discrimination. For example, what is the role of exposure, experience, and learning for the host to adaptively associate the acoustical cue – the cuckoo song – with the future risk of parasitism?
Sample size for playback trials of song (control = striated thornbill, low risk = little bronze-cuckoo, moderate risk = shining bronze-cuckoo, and high risk = Horsfield’s bronze-cuckoo) in the territories of superb fairy-wrens on Kangaroo Island during (a) the opportunistic breeding period, and (b) the peak breeding period of the host
Low Risk cuckoo
High risk cuckoo
(a) Opportunistic breeding period (low cuckoo risk)
(b) Peak breeding period (high cuckoo risk)
We colour banded a total of 122 wrens across all study sites and recorded playback response for 99 colour banded and 75 unbanded wrens. We tested each superb fairy-wren with one stimulus (either high risk, moderate risk, or low risk cuckoo, or the control striated thornbill). We used this design to ensure independence of the data. Table 3 shows the sample size for the number of playback trials per stimulus type for 78 cuckoo trials during the opportunistic breeding period and 71 cuckoo trials during the peak breeding period, and 24 thornbill trials (12 opportunistic breeding period, 12 peak breeding period). We walked three 2 km transects per study site to locate superb fairy-wren territories, which was informed by our long-term study of the area[37, 94]. When we found a group within a territory, we placed the FoxPro Scorpion x1-B playback speaker 10 m from the birds. We observed the wrens for 3 minutes and recorded their vocalisations and approach to the speaker (pre-trial period). Then we commenced the trial with the playback of the song stimulus. We recorded the following behaviours during the trial: (1) the number of alarm calls (an indicator of low cost behaviour) (hereafter referred to as ‘calls’), (2) the minimum distance of approach to the speaker (m) (an indicator of high cost behaviour) (hereafter referred to as ‘approach’), and (3) the latency to respond (s) within 10 m of the speaker (an indicator of vigilance behaviour) (hereafter referred to as ‘latency’).
Results were analysed with PASW Statistics version 18 (PASW 18.0 for Windows, SPSS Inc., U.S.A). We used Chi-squared tests to analyse cuckoo response to the different playback stimuli. Except for the number of calls, the other wren response variables were normally distributed. We transformed the number of calls using ln x + 1 transformation to meet the assumptions for normality. We used MANOVA to test for wren response (calls, approach, latency) in relation to the song playback stimulus (cuckoo species) and breeding period (opportunistic, peak), the interaction term playback stimulus × breeding period, with study site and playback ID as random effects. We used post-hoc pairwise comparisons (HSD) to test the contribution of each playback stimulus for the overall variance in response intensity.
We thank the Hermon Slade Foundation for generously funding this research. We are also grateful to the Nature Foundation of South Australia, Austrian Academy of Sciences, Australian Research Council, and South Australian Department of Environment, Water and Natural Resources for funding. This study was approved by the Animal Welfare Committee at Flinders University, South Australia.
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