
Citation: | Jinming LUO, Yongjie WANG, Fan YANG, Zhijun LIU. 2012: Effects of human disturbance on the Hooded Crane (Grus monacha) at stopover sites in northeastern China. Avian Research, 3(3): 206-216. DOI: 10.5122/cbirds.2012.0024 |
There is a lack of information of whether the behavior pattern and physical condition of the Hooded Crane (Grus monacha) have been limited by conditions encountered at stopover sites in Changgou village, which is adjacent to Zhalong Nature Reserve in northeastern China, one of the most important stopover sites of this crane. The objective of our research was to investigate the impact of human-caused disturbances on the Hooded Cranes. We investigated three behavior activities of the Hooded Cranes, i.e., flying time, flushing distance and the duration of vigilance. The results indicate that the auditory stimuli caused by local people provoked the most pronounced disturbances to the Hooded Crane. Human-caused disturbances not only frequently interrupt the feeding process of the cranes, but also lead to an increase of 200% in the duration of their vigilance and a significant increase in flying time from 0.4 to 0.7 h (p < 0.05). In addition, high-intensity noise can cause larger flushing distances; foraging cranes will flush away by about 600 m when disturbed by the honking of vehicles. Whistles or shouts by local farmers in the field generated the largest sound intensity, about 120 dB, which caused a flushing distance of over 700 m. In order to reduce the negative effect of human-caused disturbances on these cranes, it is imperative to define a buffer zone around sensitive areas during the fall stopover period. To solve the conflict between the interest of farmers and the demand for crops on the part of the cranes requires financial compensation to the farmers for the crops consumed by the Hooded Crane in order to enhance the conservation of this vulnerable bird species.
Trait polymorphism in natural populations can evolve as a consequence of frequency-dependent selection (Majerus, 1998). This implies that parasites, predators or other selective agents impose variable intensities of selection on the phenotype depending on the frequency in the population. Brood parasites and their hosts provide one such possible case of frequencydependent selection resulting in the evolution of polymorphic eggs in both host and parasite (Kilner, 2006; Yang et al., 2010a). Obligate avian brood parasites lay their eggs in nests belonging to other species of birds, thereby transferring the costs of parental care to their victims. As a consequence, hosts evolve defenses to counter brood parasitism, which in turn selects for corresponding counter-adaptations for better trickery of parasites (Davies and Brooke, 1989). The well-known arms race between parasitic cuckoos and their hosts are regarded as a textbook example of co-evolutionary interactions. Theoretically, the cuckoo-host system, when acting in a frequency-dependent manner, should be able to produce polymorphisms in co-evolved traits in the interacting parties. This hypothetical scenario has been found in the Common Cuckoo (Cuculus canorus) and one of its hosts, the Ashy-throated Parrotbill (Paradoxornis alphonsianus), in which both species have evolved matching egg polymorphism manifested in discrete immaculate white, pale blue and blue egg phenotypes within a single population (Fig. 1; Yang et al., 2010a). However, egg mimicry assessment is not always straightforward. Inspection using spectrophotometric methods suggested that the eggs of the Great Spotted Cuckoo (Clamator glandarius) were not significantly related to the appearance of its Magpie (Pica pica) host eggs (Soler et al., 2003). In the Red-chested Cuckoo (Cuculus solitarius), cuckoo eggs actually match the eggs of their hosts most closely at wavelengths that cannot be perceived by the human eye (Cherry and Bennett, 2001). Starling et al. (2006) revealed by reflectance spectrophotometry that the color of Pallid Cuckoo (Cuculus pallidus) eggs differed between four host species of Melaphagid Honeyeaters (Lichenostomus penicillatus, L. chrysops, L. melanops, and Melithreptus affinis), and mimicked their hosts' eggs closely in both spectral shape and brightness. The Pallid Cuckoo eggs from the four different hosts' nests matched their respective hosts closely. However, host eggs exhibited a small peak in the ultraviolet that was not mimicked by the cuckoo eggs (Starling et al., 2006). Using digital image analysis and modelling of avian vision, Stoddard and Stevens (2010) recently showed that various features of host egg pattern are mimicked by the eggs of their respective cuckoo host-race. These studies revealed that cuckoos have host-specific egg types that have not been detected by human observation, and emphasize potential inadequacy of human comparisons applied to the coloration of bird eggs, and the importance of techniques such as spectrophotometry to measure color objectively (Starling et al., 2006).
The objective of this study was to quantify egg color by spectrophotometry and assess the extent of egg mimicry of Common Cuckoo to the eggs of its Ashythroated Parrotbill host for blue, pale blue and white clutches, respectively.
The study was performed in the Kuankuoshui Nature Reserve, Guizhou, south-western China (28°10′N, 107° 10′E) during April–July 2008–2009. The study site is situated in a subtropical moist broadleaf and mixed forest, interspersed with abandoned tea plantations, shrubby areas, and open fields used as cattle pastures (see also Yang et al., 2010a, b).
Nests were found by systematically searching all typical and potential nest sites and by monitoring the activities of adult hosts throughout the breeding season. We recorded date of the first egg laid, egg color morph, clutch size and occurrence of brood parasitism for each nest. When a nest was found during the incubation period, eggs were floated in water to estimate approximate laying date (Hays and Lecroy, 1971). We used three spectrophotometers for quantification of egg coloration: the USB4000-VIS-NIR, GZ03P and Avantes-2048 to measure the visible (VIS) range (400–700 nm) of blue and white clutches, ultraviolet (UV) range (300–400 nm) of blue and white clutches (Fig. 2) and VIS-UV range (300–700 nm) of pale blue clutches (Fig. 3), respectively (Yang et al., 2009, 2011). Due to equipment limit, we did in such way, which was surely a suboptimal way of doing it. In earlier years, our spectrophotometer can only measure the spectrum range from 400 to 700 nm (VIS). And an additional UV spectrophotometer was used to supplement the UV data. But these data are from quite different machines and cannot be merged together. Finally, the pale blue eggs were measured by the Avantes spectrophotometer which covers the spectrum range from 300–700 nm. However, cuckoo eggs were few and phenotypes we found were very variable in different years.
Both the Ashy-throated Parrotbill (hereafter parrotbill) and the Common Cuckoo (hereafter cuckoo) laid immaculate eggs (Fig. 1), and we obtained six measurements of spectral reflectance for each egg, with two at the blunt end, two at the middle and two at the sharp end of the egg. To represent the egg coloration of the cuckoo, the mean of each egg was summarized from these six measurements. For the parrotbill, egg coloration was represented as the mean of all host eggs in each clutch. Each measurement covered ca. 1 mm2 and was taken at a 45° angle to the egg surface, with the spectrometer and light source connected with a coaxial reflectance probe (Yang et al., 2009, 2010b). We also classified the degree of cuckoo eggs mimicry on a 5-degree scale based on human vision relying on 30 volunteers who scored the degree of mimicry (contrast) from 1 (non-mimetic) to 5 (perfect mimicry) following the approach first developed by Moksnes and Røskaft (1995).
The experiments comply with the current laws of China in which they were performed. Experimental procedures were in agreement with the Animal Research Ethics Committee of Hainan Provincial Education Centre for Ecology and Environment, Hainan Normal University.
Data analyses were performed in SPSS 13.0 for Windows (SPSS Inc, Chicago, Illinois). One-way ANOVA and Kruskal-Wallis ANOVA were used for comparison of normally and non-normally distributed data, respectively. Values were presented as mean ± SD.
Mimicry score based on human vision showed that the contrasts between cuckoo and parrotbill eggs of the matched-phenotype (blue versus blue, pale blue versus pale blue, and white versus white) differed significantly among the three egg phenotypes (χ2 = 4.41, df = 2, p = 0.015). The mimicry of blue cuckoo eggs to blue host eggs was the highest and significantly higher than that of the white matched pair (blue: 1.03 ± 0.18 vs. white: 1.30 ± 0.47, n = 30 for each category, p = 0.015, post hoc test). The mimicry of pale blue cuckoo egg was intermediate between the blue and the white egg (1.13 ± 0.35, n = 30), with no statistical significant difference from blue (p = 0.273) or white eggs (p = 0.070).
Egg reflectance spectra revealed that the wave shape, wave peak and wave trough of cuckoo and parrotbill egg spectrum for the blue phenotype were perfectly matching in both visible (VIS) and ultraviolet (UV) ranges (Figs. 1–2), which indicated that they were very similar in egg color hue and chroma. However, the wave shape of the white cuckoo egg was more variable, with a wave peak in the blue region (Fig. 2), which were lacking in the parrotbill egg. The reflectance spectra for UV between white cuckoo and parrotbill eggs were discrete in 300–340 nm. A similar pattern was found for pale blue cuckoo and parrotbill eggs for which the reflectance curves matched well in wavelengths 340–700 nm.
Our results show that egg reflectance spectra agree well with the assessment based on human vision that cuckoo eggs mimic those of the parrotbill host. Our previous studies have also indicated that the classification of parrotbill egg morphs based on human vision is consistent with avian visual modelling (Yang et al., 2010a). The sensitivities of UVS-receptor of many birds are concentrated around 340–400 nm with a peak at 370 nm (Chen et al., 1984; Bennett et al., 1994). Recent work by Aidala et al. (2012) also showed that both the Shining Cuckoo (Chalcites [Chrysococcyx] lucidus) and the Long-tailed Cuckoo (Urodynamis [Eudynamis] taitensis) in New Zealand are predicted to possess the short wavelength-sensitive type 1 (SWS1) opsins with maximal sensitivity in the human-visible violet portion of the short-wavelength light spectrum, and not in the UV. Therefore, the UV curves for the three egg phenotypes in cuckoo and its parrotbill host should be regarded as well matching.
The likelihood of nest predation was not significantly different between nests with white and blue egg in the parrotbill (Yang et al., 2010a). Furthermore, other Paradoxornis species that have no known history of interaction with the cuckoo lay monomorphic eggs in blue color (Jiang et al., 2009; Yang et al., 2011). Given that the cuckoo ancestrally had egg colors that were neither white nor blue (Davies, 2000), it was reasonable to conclude that nest predation is not responsible for the evolution of egg polymorphism in the parrotbill, and selection on the cuckoo for countering the evolution of multiple parrotbill egg types was evidenced by hosts generally having evolved good abilities to reject even partly mimetic eggs (Yang et al., 2010a).
However, we found that mimicry of blue cuckoo eggs is better than that of white cuckoo eggs in their corresponding host clutches, implying that the white morph may potentially be a secondary egg morph that has not yet evolved fine mimetic features.
In conclusion, we have shown evidence from photospectrometry that different egg color morphs in the Cuckoo have evolved in response to selection against poor mimics imposed by parrotbill hosts. This evidence supports the hypothesis that the white egg morph in the cuckoo-parrotbill system might be a secondary phenotype that has evolved under the strong selection pressure of brood parasitism.
We are grateful to Anders P. Møller for valuable comments that significantly improved the quality of the manuscript. We thank Eivin Røskaft, Bård G. Stokke and one anonymous reviewer for helpful comments on our manuscript. This work was supported by the National Natural Science Foundation of China (Nos. 31071938 and 31272328 to WL, 31101646 and 31260514 to CY), Program for New Century Excellent Talents in University (NCET-10-0111 to WL), and Key Project of Chinese Ministry of Education (No. 212136 to CY). We thank the Forestry Department of Guizhou Province and Kuankuoshui National Nature Reserves for support and permission to carry out this study, and J. Wu, X. Guo, X. Xu, N. Wang and L. Wang for assistance with field work.
BirdLife International. 2008. Grus monacha: IUCN 2010. IUCN Red List of Threatened Species. Version 2010. 4.
|
Blumstein DT, Anthony LL, Harcourt A, Ross G. 2003. Testing a key assumption of wildlife buffer zones: is flight initiation distance a species trait? Biol Conserv, 110: 5258-535.
|
Frid A, Dill LM. 2002. Human caused disturbance stimuli as a form of predation risk. Conserv Ecol, 6: 11.
|
Guo YM, Qian FW, Liu XL, Xu CZ, Ma JZ. 2005. Preliminary report on breeding habit of hooded crane (Grus monacha) in Xiaoxing'an mountains of China. Acta Zool Sin, 51: 903-908. (in Chinese)
|
Hanson P, Grant TA. 1991. The effects of human disturbance on trumpeter Swan breeding behavior. Wildlife Soc B, 19: 248-257.
|
Hiroyuki M. 2004. Individual (non-social) behavioral acts of hooded cranes Grus monacha wintering in Izumi, Japan. J Ethnol, 22: 69-83
|
Kim J, Steiner F, Mueller E. 2010. Cranes, crops and conservation: understanding human perceptions of biodiversity conservation in South Korea's civilian control zone. Environ Manage, 4: 1-10.
|
Luo JM, Wang YJ, Ye YJ, Wang ZL, Li GW, Wang WF. 2010. Survey on stopover habitation resident of hooded crane in Changgou County Zhalong Wetland, Norhteast China. Mechanic Automation and Control Engineering (MACE 2010). 4285-4287.
|
Rodgers JA, Smith HAT. 1997. Buffer zone distances to protect foraging and loafing waterbirds from human disturbances in Florida. Wildl Soc B, 25: 139-145.
|
Treves A. 2000. Theory and method in studies of vigilance and aggregatin. Anim Behav, 60: 711-722.
|
Welp T, Rushen J, Kramer DL, Festa-Bianchet M, de Pasillé AMB. 2004. Vigilance as ameasure of fear in dairy cattle. Appl Anim Behav Sci, 87: 1-13.
|
Zduniak P. 2005. Forced regurgitation with tartar emetic as an effective and safe method to study diet composition in hooded crow nestlings. Eur Wildl Res, 51: 122-125.
|