Abstract
Background
Colour-marking polymorphism is widely distributed among cryptic species. To account for the adaptive significance of such polymorphisms, several hypotheses have been proposed to date. Although these hypotheses argue over the degree of camouflage effects of marking morphs (and the interactions between morphs and their microhabitat backgrounds), as far as we know, most empirical evidence has been provided under unnatural conditions (i.e., using artificial prey).
Methodology/Principal Findings
Tetrix japonica, a pygmy grasshopper, is highly polymorphic in colour-markings and occurs in both sand and grass microhabitats. Even within a microhabitat, T. japonica is highly polymorphic. Using humans as dummy predators and printed photographs in which various morphs of grasshoppers were placed against different backgrounds, we addressed three questions to test the neutral, background heterogeneity, and differential crypsis hypotheses in four marking-type morphs: 1) do the morphs differ in the degree of crypsis in each microhabitat, 2) are different morphs most cryptic in specific backgrounds of the microhabitats, and 3) does the morph frequency reflect the degree of crypsis?
Conclusions/Significance
The degree of camouflage differed among the four morphs; therefore, the neutral hypothesis was rejected. Furthermore, the order of camouflage advantage among morphs differed depending on the two types of backgrounds (sand and grass), although the grass background consistently provided greater camouflage effects. Thus, based on our results, we could not reject the background heterogeneity hypothesis. Under field conditions, the more cryptic morphs comprised a minority of the population. Overall, our results demonstrate that the different morphs were not equivalent in the degree of crypsis, but the degree of camouflage of the morphs was not consistent with the morph frequency. These findings suggest that trade-offs exist between the camouflage benefit of body colouration and other fitness components, providing a better understanding of the adaptive significance of colour-markings and presumably supporting the differential crypsis hypothesis.
Introduction
Colour-marking polymorphism is widely distributed among cryptic species. [1] Moreover, some species are highly polymorphic in colour and markings even within a single population [2]. Camouflage is one of the most common forms of defensive colouration [3] against visually hunting predators. [4], [5], [6], [7] Many animal species have contrasting body markings; despite this, they often appear to be rather cryptic against their natural backgrounds, at least to the human eye. To account for the adaptive significance of such polymorphisms, at least four hypotheses have been proposed to date: the neutral hypothesis [8], the background heterogeneity hypothesis [9], [10], the search image hypothesis [1], [11], and the differential crypsis hypothesis (inferred by Forsman 1998). [12] The neutral hypothesis posits that each colour-marking polymorphism provides the same cryptic effects, and thus all morphs are neutral in terms of fitness. The background heterogeneity hypothesis states that each morph has the advantage within a specific background environment, and thus species occurring in highly heterogeneous environments exhibit polymorphisms. In contrast, the differential crypsis hypothesis assumes a differential degree of crypsis among polymorphic morphs; therefore, trade-offs between the degree of crypsis and other fitness components, such as mating advantage or thermoregulation ability [13], are necessary to maintain the polymorphism. Although colour-marking polymorphisms are not rare, empirical evidence remains limited for which hypothesis is applicable to real organisms in the wild.
Pygmy grasshoppers are typical examples of such polymorphic species. [14], [15] Tetrix japonica occurs in both grass and sand microhabitats and exhibits large variation in body colouration and markings. [15] Preliminary observations have suggested that the proportion of morphs differs between the two microhabitats, and even within a single microhabitat, several types of morphs can co-occur. Consequently, T. japonica is a suitable organism to examine the above hypotheses regarding colour-marking polymorphisms.
To examine whether the markings affect camouflage and whether the camouflage effect depends on background type (sand and grass microhabitat), we conducted detection task experiments on grasshoppers against different natural backgrounds using humans as dummy predators. In such experiments, humans offer several advantages over real predators such as wild birds. The behaviour of wild animals can be strongly influenced by their degree of hunger, previous experience, and the experimental environment, whereas humans are far less affected by these factors. [16] Moreover, a recent study using humans as dummy predators yielded results that were virtually identical to the findings of earlier studies using bird predators. [17], [18] In addition, we conducted a field census of the polymorphism in neighbouring microhabitats (sand and grass) to confirm whether the degree of camouflage reflects the grasshopper morph frequency.
Materials and Methods
Tetrix japonica
Pygmy grasshoppers (Tetriginae) are characterised by both a long pronotum that extends beyond the apex of the abdomen and highly reduced forewings. [19] Tetrix japonica is a small grasshopper (males, 7.7–9.5 mm; females, 9.0–13.0 mm) that usually inhabits relatively dry places (soil moisture = 30–40%; Atsushi Honma unpublished data) compared to other sympatric Tetriginae species. Tetrix japonica exhibits extraordinary variation in the colour and markings of the pronotum. [15] Even within a single population, the basal body colouration varies from blackish brown to yellowish brown to pale grey. Some grasshoppers are bi-coloured, with whitish and blackish markings on the dorsal surface of the pronotum. In contrast, some T. japonica have no markings, whereas others have spots or other distinct patterns on the pronotum.
Study Site
The study sites were two adjacent terraced fallow fields (“grass” and “sand” microhabitats) located about 30 m apart in Iwakura, a northern suburb of Kyoto, Japan (135°47.6′W, 35°5.7′N). The fields had been fallow for at least 9 years. The grass microhabitat (approximately 136 m2 in area) consisted of marsh and thickets that were clear-cut once a year in the autumn and were dominated by Japanese millet, Echinochola crus-galli var., and annual bluegrass, Poa annua. The sand microhabitat (approximately 62 m2 in area) primarily consisted of bare pebbles next to small, short thickets dominated by P. annua. We observed many visually hunting predator species landing on and foraging in the fallow fields; these included Japanese pied wagtails Motacilla grandis, Siberian meadow buntings Emberiza cioides, grey starlings Sturnus cineraceus, and dusky thrushes Turdus naumanni (from autumn to spring). Frogs and spiders were also abundant.
Definition of Colour-Marking Morphs
We categorised T. japonica morphs into four groups based on type of markings: non-marked morphs with no markings at all on the body, spotted morphs with round markings at the lower-middle part of the pronotum, longitudinal morphs (whitish along the longitudinal axis of the pronotum and grey-brown at the other part of the pronotum), and horizontal morphs (whitish at the forepart and grey-brown at the rear half) (Figure 1). The number of spots varied among spotted morphs; therefore, we used only two-spotted individuals as ‘spotted morphs’ in the detection task experiment. In the field survey of the frequency of grasshopper morphs, spotted morphs included all grasshoppers with any number of spots on mono-coloured basal colouration. Longitudinal morphs resembled withered grass, and horizontal morphs appeared quite similar to the white and black pebbles of the sand microhabitat.
Detection Task Experiment
For the detection task experiments, the detection time of grasshopper images by the human predators was used as a proxy for the survival probability of grasshoppers. Adult T. japonica grasshoppers were captured using random sweeps of an insect net within the sand and grass microhabitats. Each grasshopper was anaesthetised with CO2 and then photographed against two different backgrounds. The two backgrounds consisted of the ground at the sand and grass microhabitats in which the grasshoppers were captured. Two frames (A4 size: 210×297 mm) were set out in each microhabitat and were divided into 48 cells (6×8). Within a randomly chosen cell, one grasshopper was placed in a natural position. Each grasshopper was photographed within the same frame from a vertical height of 0.25 m. Photographs (2560×1920 pixels; Nikon Coolpix 5700) were taken under natural light conditions on a sunny day without flash, saved as uncompressed TIFF files, and printed on A4-sized (210×297 mm) PPC paper on an Epson LP-9000C (600 dpi) colour laser printer. The printed grasshopper images were approximately the same size as the real grasshoppers.
We measured the time (up to 1 min) per photograph taken by each of 18 humans to detect a grasshopper in each of the 39 photographs (15 non-marked morphs, 14 spotted morphs, 7 longitudinal morphs, and 3 horizontal morphs; Table S1). Each participant was presented with all photographs. The morph frequencies in the experiment were chosen to be approximately equal to those in the field on the day and time of the photo shoot. Preliminary experiments have suggested that the detection time of the grasshoppers against the grass microhabitat is longer than that against the sand microhabitat and that grass microhabitat trials require more concentration (on the part of the human dummy predators) than do the sand trials (Tsurui, unpublished data). Thus, to maintain the motivation of the human predators, the number of grass trials was half that of the sand trials (26 sand and 13 grass backgrounds per human; Table S1). The human predators were undergraduate students in the Faculty of Agriculture, Kyoto University, and they were not informed of the experimental goals. No subjects were allowed to participate more than once.
UV Reflectance of T. japonica
Humans and insectivorous birds such as great tits possess very similar visual abilities for prey detection. [17], [18] The major difference in vision between birds and humans is that humans cannot recognise ultraviolet (UV), whereas birds can. To better characterise this potential difference in the perception of grasshoppers, we determined the UV reflectance of T. japonica. The UV and visible light spectrum of the pronotum of living grasshoppers were measured using a UV-visible recording spectrophotometer (Ocean Optics USB4E01445). Based on the measurements of the UV and visible light spectrum of T. japonica, the UV reflectance of the grasshoppers was relatively low (less than 5%). These results suggest that the range of UV reflectance did not affect the results of the detection task experiments. Therefore, humans were adequate representatives of T. japonica natural predators (Figure S1).
Problems Associated with the Use of Printed Photographs
The perceived grey value and colour contrasts of prey in the printed photographs may differ from those recorded digitally, because the printing process can produce other non-linear transformation effects of colour as well as luminance. [20] Thus, the perceived luminance and colour contrasts of prey in the printed photographs may differ from those on the computer slides or from those observed directly. This problem cannot be overcome even if cameras are precisely calibrated. To minimise such effects, Fraser et al. (2007) [17] and Webster et al. (2009) [18] conducted a series of experiments using computer slides instead of printed materials, and both research groups obtained very similar results using the two methods. We recognise that our experimental procedures involved similar problems; however, based on the results of Fraser et al. (2007) [17] and Webster et al. (2009) [18], such effects were likely to be minor.
Field Survey of the Frequency of Grasshopper Morphs
Grasshoppers were collected using random sweeps of an insect net in fallow fields. To avoid putative effects of dispersal between different microhabitats, no samplings were conducted at the border of each microhabitat. Grasshopper data were collected on 19 June 2005, around noon, when insects were active after sun basking. For the present study, only adults were used.
Data Analysis
Survival analysis was performed using Cox proportional hazards regression [21], [22], [23], a semi-parametric form of survival analysis that assumes all treatments have the same-shaped hazard functions but makes no specific assumptions about the nature of the distribution. This method is ideally suited for censored data and the non-uniform changes in predation risk with respect to time of day that are evident in such data. [24], [25] Significance was tested using the likelihood ratio test, and pairwise contrasts with sequential Bonferroni correction [26], [27] was used to compare specific marking morphs. In the first analysis, the model included type of marking, background, and their interaction as fixed effects and human predator ID as a random effect. In the second analysis, the model for pairwise comparisons of the specific morphs for each background included type of marking as a fixed effect and human predator ID as a random effect. Both analyses were conducted using the R statistical environment, version 2.10.1 (http://cran.r-project.org/). [28]
The difference in grasshopper frequency of each morph between the two microhabitats was tested using Pearson's Chi-squared test with Yate's correction (R, ver. 2.10.1). [28]
Results
The Degree of Camouflage Conferred by Marking Type in Different Backgrounds
The survival model was significant (likelihood χ2 = 214, df = 8.96 p<0.001). Detection time was significantly affected by marking type, background, and their interaction (marking type: likelihood χ2 = 91.633, df = 3, p<0.001; background: likelihood χ2 = 124.26, df = 1, p<0.001; interaction: likelihood χ2 = 21.426, df = 3, p<0.001). Human predator effects were also significant (human predator as a random effect: χ2 = 4.6918, df = 0, p<0.001), but this effect was not relevant to our hypotheses. In addition, the order of crypsis depended in part on the background (Table 1). With the exception of horizontal morphs, grasshoppers were significantly less detected against the grass background than against the sand background (Table 2). Within the grass microhabitat, longitudinal morphs were the least detected (Table 1-a, Figure 2-a). Against the sand background, however, the order of crypsis was reversed. Horizontal morphs were the least detected (Table 1-b, Figure 2-b) against the sand microhabitat. Consequently, non-marked and spotted morphs were more conspicuous among morphs against both grass and sand backgrounds (Table 1-a, b). In contrast, horizontal morphs realised a strong camouflage effect against both the sand and grass backgrounds, although they tended to be less detected against the grass background than against the sand background (Table 2). These results indicate that some morphs of T. japonica significantly differ in their level of crypsis. Furthermore, compared to the sand background, the grass background provided a stronger camouflage effect for grasshoppers regardless of the morph type.
Table 1. Pairwise contrasts among morphs.
(a) Grass background | ||||||
Non-marked | Spotted | Horizontal | Longitudinal | median (seconds) | Likelihood ratio test with Bonferroni correction | |
Non-marked | 0.81 | 0.18 | 0.00032 | 14.6 | a | |
Spotted | 0.24 | 0.0026 | 10.47 | a | ||
Horizontal | 0.38 | 14.4 | a | |||
Longitudinal | 41.1 | b |
Table 2. The effect of background on crypsis for each morph.
Morph | Better camouflaged background | χ2 | df | p-value | |
Marking type | |||||
Non-marked | grass | 33.9 | 1 | <0.0001 | |
Spotted | grass | 51.7 | 1 | <0.0001 | |
Horizontal | tended toward grass | 2.28 | 1 | 0.13 | |
Longitudinal | grass | 43.9 | 1 | <0.0001 |
Frequency of Morphs Conferred by Marking Type in the Grass and Sand Microhabitats
The frequency of T. japonica morphs with various types of markings differed significantly between the grass and sand microhabitats (Pearson's Chi-squared test; χ2 = 8.53, df = 3, p = 0.0363; Figure 3). In both microhabitats, the spotted morphs and non-marked morphs were dominant (grass-spotted, 51.2%; grass-non-marked, 33.3%; sand-spotted, 30.6%; sand-non-marked, 45.2%), whereas the longitudinal morphs and horizontal morphs were rare (grass-horizontal, 9.5%; grass- longitudinal, 6.0%; sand-horizontal, 8.1%; sand-longitudinal, 16.1%) These results indicate that the more cryptic morphs are not more common in either the grass or sand microhabitat. Furthermore, longitudinal morphs tended to be more common in the sand microhabitat where they were more conspicuous, although the pattern was not significant (Pearson's Chi-squared test with Yate's continuity correction; χ2 = 2.98, df = 1, p = 0.084; Figure 3). In contrast, spotted morphs were significantly more common in the grass microhabitat where they were more cryptic (Pearson's Chi-squared test with Yate's continuity correction; χ2 = 5.3506, df = 1, p = 0.021; Figure 3). The frequencies of horizontal morphs and spotted morphs did not differ between the grass and sand microhabitats (Pearson's Chi-squared test with Yate's continuity correction; non-marked: χ2 = 1.64, df = 1, p = 0.203; horizontal: χ2 = 0.0183, df = 1, p = 0.9904; Figure 3).
Discussion
To account for the adaptive significance of colour-marking polymorphisms in terms of camouflage, we considered three hypotheses: the neutral hypothesis [8], the background heterogeneity hypothesis [9], [10], and the differential crypsis hypothesis (inferred by Forsman 1998) [12]. Our experiments indicated that each colour-marking morph differed in terms of the degree of crypsis. Thus, the neutral hypothesis could not explain the adaptive significance of colour-marking polymorphism in T. japonica. However, the order of camouflage advantage among morphs differed depending on the two types of backgrounds (sand and grass), although the grass background consistently provided greater camouflage effects. Thus, based on our results, we could not reject the background heterogeneity hypothesis. On the other hand, our field survey revealed that the more cryptic morphs were rarer in each microhabitat. The background heterogeneity hypothesis cannot explain this pattern in morph frequency. Furthermore, each morph was not always common where they were more cryptic. These findings suggest that trade-offs exist between the camouflage benefit of body colouration and other fitness components, providing a better understanding of the adaptive significance of colour-markings and presumably supporting the differential crypsis hypothesis.
The most puzzling result in our study was that each morph occurred not only in the microhabitat where it was most cryptic, but also in the microhabitat where it was easily detectable. For example, longitudinal morphs occurred in the grass microhabitat where they enjoy a strong effect of camouflage as well as in the sand microhabitat where they are conspicuous. In contrast, spotted morphs were common in the grass microhabitat where they were more cryptic. These patterns may be attributable to the reproductive behaviour of pygmy grasshoppers, in that mating generally occurs on bare ground, such as that found in sand microhabitats. [29] If this is the case, trade-offs may exist between mating and camouflage. Further studies are necessary to determine the relationship between marking morphs and sex-related mating behaviour. Another potential explanation is gene flow or dispersal, which may counteract locally varying selection favouring the most cryptic morph, thereby contributing to the maintenance of colour-marking polymorphisms within populations of T. japonica. A similar pattern has been observed in a polymorphic isopod. [10] However, in T. japonica, longitudinal and horizontal morphs were relatively rare at the study sites, despite their camouflage advantage (Figure 2). Moreover, gene flow or dispersal cannot explain the presence of less camouflaged morphs. Considering these results, one logical hypothesis is that the contrasting markings incur high fitness costs. In fact, colour patterns in a congeneric species, Tetrix undulata, were correlated with many factors potentially related to fitness, such as body size [30], reproductive schedule [2], and thermoregulatory behaviour [31]. To more comprehensively understand the adaptive significance of colour-marked morphs in nature, experiments are ongoing to detect the fitness costs of contrasting markings in relation to sexual selection and thermoregulation. According to our observations, horizontal morphs or longitudinal morphs were often courted and mounted by conspecific males. If this is the case, they may suffer from the energy costs and risk of injury from such sexual harassment. [32] The thermoregulation hypothesis would be supported by a clear latitudinal cline in males, with a greater proportion of non-marked morphs in southern areas of Japan. [33] If contrasting markings accelerate the speed of body heating, they may affect fitness costs through thermoregulation. For these reasons, we suggest that these fitness costs would drive cryptic morphs, such as the horizontal morphs and longitudinal morphs, to be rare in the population. The morph frequencies in both microhabitats were maintained, and that the horizontal morphs and longitudinal morphs were rare, at least from 2005 to 2009 (Tsurui, unpublished data). Thus, negative frequency-dependent selective pressures such as apostatic predation [1] and non-random mating [34] may contribute to the maintenance of the morph frequency of T. japonica. Further study of the maintenance of rare morphs is clearly warranted.
Camouflage Effect of Contrasting Markings
Concerning the colour of markings, longitudinal morphs and horizontal morphs had contrasting white markings, whereas non-marked morphs and spotted morphs did not (Figure 1). Morphs with contrasting white markings (longitudinal and horizontal morphs) were more cryptic than those without them (non-marked and spotted morphs). However, the longitudinal and horizontal morphs differed in the degree of crypsis against different backgrounds: longitudinal morphs exhibited a higher degree of crypsis against a grass background than did horizontal morphs (Figure 2-a), and horizontal morphs had a much greater degree of crypsis against a sand background than did longitudinal morphs (Figure 2-b).
These results can be intuitively explained by interactive cryptic effects between the shapes of the contrasting markings and attributes of the background. The thin, whitish-yellow, longitudinal markings of longitudinal morphs appear quite similar to withered grass; thus, they can enhance the cryptic effect against grass backgrounds. In contrast, horizontal morphs strongly resembled combinations of pebbles and their shadows, which were abundant components of sand backgrounds. Similar tactics to enhance crypsis may also be prevalent in other species within this system. For example, among inhabitants of grass habitats, whitish longitudinal markings often occur on the back or sides of bodies in many species of grasshoppers, spiders, other arthropods, and even snakes. Whitish longitudinal markings may be generally effective to avoid detection by visual predators in grasslands. Contrasting colourations, similar to those of horizontal morphs, may be common among inhabitants of bare ground dominated by pebbles and coarse-grained soil. [5] For example, chicks of the ringed plover, which inhabit the bare ground of dry riverbeds or the seashore, have a series of strongly contrasting black and white markings on the head, throat, and neck. [5] Such contrasting markings work as disruptive colouration when the markings reach the edge of an organism's body. [35] Similarly, both the contrasting white areas (horizontal or longitudinal lines) of the basal colourations and black spots of T. japonica always reach the body outline (see Figure 1), and bi-coloured morphs were always less detectable. Thus, the camouflage effect of T. japonica may be attained through a disruptive effect. More experiments are currently underway to confirm the disruptive effect of the contrasting basal colourations and markings of T. japonica.
The present study also revealed that the camouflage effects of the backgrounds themselves differ greatly, with strong camouflage effects of the grass background and weaker effects of the sand background. Consequently, potentially poorly camouflaged morphs can attain higher levels of camouflage against the grass background, even without precisely matching it. In our experiments, the grass background was highly heterogeneous compared to the sand background. Bond and Kamil (2006) [36] examined relationships between spatial heterogeneity and prey recognition by predators, and they concluded that colour morphs in less heterogeneous backgrounds were more readily detected than those in more heterogeneous backgrounds, even at the same level of background matching. Both our findings and those of Bond and Kamil (2006) [36] highlight the importance of the interactive effects of prey colouration and backgrounds, particularly in the degree of heterogeneity, on predator cognition for understanding camouflage due to colour-markings in the field. Thus, attributes of the background, such as colour, patch size, or shape, and the number of colour components, may affect the background dependence of the camouflage effect mediated by colour-markings.
In studies such as ours, the difference in colour vision between humans and natural predators is problematic. We demonstrated that T. japonica has relatively low UV reflectance; however, the presence/absence of UV detection is only one component of the differences between the vision of humans and other predators. Colour discrimination throughout the spectrum (including the human visible spectrum) differs between birds and humans, and probably even among bird species [37], as does acuity and contrast sensitivity. Consequently, in a strict sense, the present study could not fully reveal the influence of colouration or contrast of markings on camouflage. In this context, future studies must consider the colour sense of true predator species.
Supporting Information
Acknowledgments
We thank K. I. Takakura and S. Oku for discussions on analysing data, S. Kishi for discussion and technical advice on taking photographs, K. Inamori and K. Mochida for providing technical support concerning the spectrophotometer, and A. Ichikawa for generously providing information on pygmy grasshoppers. Thanks are also due to K. Fujisaki, N. Ohsaki, J. Ide, A. Yamasaki, K. Kawatsu, and N. Suzuki for their helpful discussions.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: This study was supported in part by a Grant-in-aid for Exploratory Research (16657008) from MEXT to T.N. (http://kaken.nii.ac.jp/ja/p/16657008) and the 21st Century COE Program for Innovative Food and Environmental Studies pioneered by Entomomimetic Sciences (K18) from MEXT (http://www.jsps.go.jp/english/e-21coe/index.html). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Alan B, Bond AB. The evolution of color polymorphism: Crypticity, searching images, and apostatic selection. Annu Rev Ecol Evol Syst. 2007;38:489–514. (DOI:10.1146/annurev.ecolsys.38.091206.095728) [Google Scholar]
- 2.Forsman A. Some like it hot: Intra-population variation in behavioral thermoregulation in color-polymorphic pygmy grasshoppers. Evol Ecol. 2000;14:25–38. [Google Scholar]
- 3.Stevens M, Merilaita S. Defining disruptive coloration and distinguishing its functions. Phil Trans R Soc B. 2009;364:481–488. doi: 10.1098/rstb.2008.0216. (DOI:10.1098/rstb.2008.0216) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Thayer GH. Concealing-coloration in the animal kingdom: an exposition of the laws of disguise through color and pattern: being a summary of Abbott H. Thayer's discoveries. 1909. Macmillan, New York, NY.
- 5.Cott HB. Adaptive coloration in animals. 1940. Methuen & Co. Ltd, London, UK.
- 6.Endler JA. Krebs JR, Davis NB, editors. Interactions between predators and prey. Behavioral ecology: an evolutionary approach. 1991. pp. 169–196. Blackwell Scientific Publisher, Oxford, UK.
- 7.Ruxton GD, Sheratt TN, Speed MP. Avoiding attack: the evolutionary ecology of crypsis, warning signals and mimicry. 2004. Oxford University Press, Oxford, UK.
- 8.Endler JA. A predator's view of animal color patterns. Evol Biol. 1978;11:319–364. [Google Scholar]
- 9.Merilaita S, Tuomi J, Jormalainen V. Optimization of cryptic coloration in heterogeneous habitats. Biol J Linn Soc. 1999;67:151–161. [Google Scholar]
- 10.Merilaita S, Lyytinen A, Mappes J. Selection for cryptic coloration in visually heterogeneous habitat. Proc R Soc B. 2001;268:1925–1929. doi: 10.1098/rspb.2001.1747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tinbergen L. The natural control of insects in pine woods I. Factors influencing the intensity of predation by songbirds. Arch N'eerl Zool. 1960;13:265–343. [Google Scholar]
- 12.Forsman A. Visual predators impose correlational selection on prey color pattern and behavior. Behav Ecol. 1998;9:409–413. [Google Scholar]
- 13.Forsman A. Thermal capacity of different color morphs on the pygmy grasshopper Tetrix subulata. Ann Zool Fennici. 1997;34:145–149. [Google Scholar]
- 14.Holst KT. The Saltatoria of northern Europe. Fauna Entomol Scand. 1986;16:1–127. [Google Scholar]
- 15.Ichikawa A, Ito F, Kano Y, Kawai M, Tominaga O, et al. Sapporo, Japan: Hokkaido University Press; 2006. Orthoptera of the Japanese Archipelago in color. [Google Scholar]
- 16.Beatty CD, Beirinckx K, Sherratt TN. The evolution of Müllerian mimicry in multispecies communities. Nature. 2004;431:63–67. doi: 10.1038/nature02818. (DOI:10.1038/nature02818) [DOI] [PubMed] [Google Scholar]
- 17.Fraser S, Callahan A, Klassen D, Sherratt TN. Empirical tests of the role of disruptive coloration in reducing detectability. Proc R Soc B. 2007;274:1325–1331. doi: 10.1098/rspb.2007.0153. (DOI: 10.1098/rspb.2007.0153) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Webster RJ, Callahan A, Godin J-G, Sherratt TN. Behaviorally mediated crypsis in two nocturnal moths with contrasting appearance. Phil Trans R Soc B. 2009;364:503–510. doi: 10.1098/rstb.2008.0215. (DOI: 10.1098/rstb.2008.0215) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hancock JL. The Tettigidae of North America. 1902. Published by a special grant from Mrs. Frank G. Logan, Chicago, IL.
- 20.Stevens M, Alejandro CP, Cuthill IC, Partridge JC, Troscianko TS. Using digital photography to study animal coloration. Biol J Linn Soc. 2007;90:211–237. (DOI: 10.1111/j.1095-8312.2007.00725.x) [Google Scholar]
- 21.Cox DR. Regression models and life-tables. J R Stat Soc. 1972;34:187–220. [Google Scholar]
- 22.Klein JP, Moeschberger ML. Survival analysis: techniques for censored and truncated data. 2003. Springer, New York.
- 23.Therneau TM, Grambsch PM. Modeling survival data: Extending the Cox model. 2000. Springer, New York.
- 24.Cuthill IC, Hiby E, Lloyd E. The predation costs of symmetrical cryptic coloration. Proc R Soc B. 2006;273:1267–1271. doi: 10.1098/rspb.2005.3438. (DOI: 10.1098/rspb.2005.3438) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Stevens M, Cuthill IC, Windsor AMM, Walker HJ. Disruptive contrast in animal camouflage. Proc R Soc B. 2006;273:2433–2438. doi: 10.1098/rspb.2006.3614. (DOI: 10.1098/rspb.2005.3614) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hochberg Y. A sharper Bonferroni procedure for multiple tests of significance. Biometrika. 1988;75:800–802. (DOI: 10.1093/biomet/75.4.800) [Google Scholar]
- 27.Rice WR. Analyzing tables of statistical tests. Evolution. 1989;43:223–225. doi: 10.1111/j.1558-5646.1989.tb04220.x. (DOI: 10.2307/2409177) [DOI] [PubMed] [Google Scholar]
- 28.R Development Core Team. 2009. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
- 29.Hochkirch A, Gröning J, Loos T, Metzing C, Reichelt M. Specialized diet and feeding habits as key factors for the habitat requirements of the grasshopper species Tetrix subulata (Orthptera: Tetrigidae). Entomol Gen. 2000;25:39–51. [Google Scholar]
- 30.Ahnesjö J, Forsman A. Correlated evolution of color pattern and body size in polymorphic pygmy grasshoppers, Tetrix undulata. J Evol Biol. 2003;16:1308–1318. doi: 10.1046/j.1420-9101.2003.00610.x. [DOI] [PubMed] [Google Scholar]
- 31.Forsman A. Clutch size versus clutch interval: life history strategies in the color-polymorphic pygmy grasshopper Tetrix sublata. Oecologia. 2001;129:357–366. doi: 10.1007/s004420100743. [DOI] [PubMed] [Google Scholar]
- 32.Arnqvist G, Rowe L. Sexual conflict. 2005. Princeton University Press, Princeton, New Jersey.
- 33.Tsurui K, Nishida T. Latitudinal clines of the black-marking morph in a pygmy grasshopper Tetrix japonica (Orthoptera: Tetrigidae). Bull Osaka Mus Nat Hist. 2010;64:19–24. (In Japanese with English abstract) [Google Scholar]
- 34.Majerus MEN. Melanism: Evolution in action. 1998. Oxford University Press, Oxford, UK.
- 35.Cuthill IC, Stevens M, Sheppard J, Maddocks T, Parraga CA, et al. Disruptive coloration and background pattern matching. Nature. 2005;434:72–74. doi: 10.1038/nature03312. (DOI: 10.1038/nature03312) [DOI] [PubMed] [Google Scholar]
- 36.Bond AB, Kamil AC. Spatial heterogeneity, predator cognition, and the evolution of color polymorphism in virtual prey. Proc Natl Acad Sci USA. 2006;103:3214–3219. doi: 10.1073/pnas.0509963103. (DOI: 10.1073/pnas.0509963103) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Cuthill IC, Partridge JC, Bennett ATD, Church SC, Hart NS, et al. Ultraviolet vision in birds. Adv Stud Behav. 2000;29:159–214. [Google Scholar]
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