Skip to main content
Ecology and Evolution logoLink to Ecology and Evolution
. 2019 Jun 14;9(13):7752–7760. doi: 10.1002/ece3.5358

Development of sexual dimorphism in two sympatric skinks with different growth rates

Chen Yang 1,2, Jinming Zhao 3, Raul E Diaz 4, Nan Lyu 5,
PMCID: PMC6636199  PMID: 31346437

Abstract

Sexual size dimorphism (SSD) is widespread in animals, especially in lizards (Reptilia: Squamata), and is driven by fecundity selection, male–male competition, or other adaptive hypotheses. However, these selective pressures may vary through different life history periods; thus, it is essential to assess the relationship between growth and SSD. In this study, we tracked SSD dynamics between a “fading‐tail color skink” (blue tail skink whose tail is only blue during its juvenile stage: Plestiodon elegans) and a “nonfade color” tail skink (retains a blue tail throughout life: Plestiodon quadrilineatus) under a controlled experimental environment. We fitted growth curves of morphological traits (body mass, SVL, and TL) using three growth models (Logistic, Gompertz, and von Bertalanffy). We found that both skinks have male‐biased SSD as adults. Body mass has a higher goodness of fit (as represented by very high R 2 values) using the von Bertalanffy model than the other two models. In contrast, SVL and TL for both skinks had higher goodness of fit when using the Gompertz model. Two lizards displayed divergent life history tactics: P. elegans grows faster, matures earlier (at 65 weeks), and presents an allometric growth rate, whereas P. quadrilineatus grows slower, matures later (at 106 weeks), and presents an isometric growth rate. Our findings imply that species‐ and sex‐specific trade‐offs in the allocation of energy to growth and reproduction may cause the growth patterns to diverge, ultimately resulting in the dissimilar patterns of SSD.

Keywords: growth curves, model, sexual size dimorphism, skink, sympatric, trade‐offs

1. INTRODUCTION

Sexual size dimorphism (SSD) is a widespread and fundamental biological phenomenon in which one sex is characteristically larger than the opposite sex. SSD is usually characterized by some morphological traits being more developed or exaggerated in one particular sex (Shine, 1989), but SSD may also act differentially on various morphological traits, causing dimorphism in trait size or in shape independent of size (ornamentation, scalation, or coloration; Schwarzkopf, 2005). The evolutionary basis of such dimorphic phenotypes has usually been associated with fitness and resource availability for each sex. Several hypotheses have been proposed to explain the evolutionary causes for SSD. The male–male competition hypothesis suggests that males become larger than females due to male–male competition for female mates or are directly chosen for their size by females (Gienger & Beck, 2007; Ji, Lin, Lin, Qiu, & Du, 2006). In contrast, the fecundity advantage hypothesis proposes that larger females present a larger body trunk volume to carry more eggs or produce larger eggs to increase offspring survival (Braña, 1996; Cox, Skelly, & John‐Alder, 2003; Scharf & Meiri, 2013). Thus, sexual selection favors larger males, whereas fecundity selection favors larger females. A third alternative is the intersexual competition hypothesis, in which both sexes avoid intersexual competition due to sex‐specific adaptations to different ecological niches (Blanckenhorn, 2005). In this case, ecological traits, including dietary divergence, habitat requirements, growth rates, growth strategies, population density, geographic variation, and disease, may drive the evolution of SSD (Hierlihy, Garcia‐Collazo, B. Chavez Tapia, & Mallory, 2013; Isaac, 2005; Stamps & Krishnan, 1997; Stamps, Losos, & Andrews, 1997; Zhong, Liu, Li, Peng, & Guo, 2017). Moreover, some endogenous mechanisms such as hormone regulation could also induce SSD in some animal groups (Kubička, Golinski, John‐Alder, & Kratochvíl, 2013). These hypotheses are not mutually exclusive; SSD may evolve under a combination of fecundity selection, male–male competition, and natural selection (Isaac, 2005).

Typically, while assessing the selection on sex dimorphic traits, whole‐body size measurements are recorded but selection acting on specific body parts, such as the head, tail, teeth, or limbs, can also induce size dimorphism (Braña, 1996; Bülbül, Kurnaz, Eroğlu, Koç, & Kutrup, 2016), and this is often overlooked. In addition, many single‐species studies focus on adult dimorphic traits and their corresponding fitness consequences. However, individuals may face changing selections during different life history periods (Cooper & Vitt, 1985); therefore, assessing the development of SSD during different life history periods may play important roles in unraveling the evolution of SSD.

Lizards show considerable variation in both direction and magnitude of SSD and have long been used as model species in SSD studies (Bonneaud et al., 2016; Lande, 1980; Manicom, Alford, Schoener, & Schwarzkopf, 2014; Shine, 1989). There are 50 currently recognized species of skinks in genus Plestiodon, which are widely distributed in the Palearctic, Oriental, and Nearctic realm (Brandley et al., 2012). The young of many species of skinks present a conspicuous brilliant blue tail that may be used to distract the attention of predators, because the tail can be autotomized to allow the individual an opportunity to escape (Cooper & Vitt, 1985; Uetz, Freed, & Jirí, 2018). This blue tail coloration fades with age and, for species belonging to the genus Plestiodon, is lost at sexual maturation (Hawlena, Boochnik, Abramsky, & Bouskila, 2006; Vitt & Cooper, 1986). However, the Chinese four‐lined skink, Plestiodon quadrilineatus, retains the blue tail into adulthood postsexual maturity (Lazell & Ota, 2000; Zhao, Zhao, & Zhou, 1999). Why congeneric and sympatric skinks adopt different life history tactics? It may be related to specific ontogenic process on two different species: Fading blue tail skinks accelerate growth into adulthood followed by a continued growth at a slower rate to enable earlier breeding, while nonfade blue tail skinks grow slowly and mature later. We suggest that differential ontogenetic color change of their blue tails may ultimately play a role in generating divergent patterns of SSD in these two skinks. Previous research in mammalian populations has indicated that dynamic growth patterns of individuals can shape variation in life history traits (Lammers, Dziech, & German, 2001). However, the growth patterns and processes that lead to SSD in reptiles are not well quantified. Heterochrony analysis could be used to examine differences in growth rates and timing of developmental events between different lizard species.

In order to test our above hypothesis, we selected two sympatric skink species—the faded tail skink (Blue tail skink: Plestiodon elegans) to serve as a comparison with P. quadrilineatus and reared individuals of each species in a controlled laboratory study—since factors such as food availability, thermal conditions, and predator risk may affect the longevity and life history traits significantly in lizards, including growth rate (Bonneaud et al., 2016; Kaliontzopoulou, Carretero, & Adams, 2015). We then collected different morphological data from the two skink species and fitted the growth curves of both sexes and traced the SSD in morphological characteristics between the two species. Our objectives were as follows: (a) to explore the morphological growth processes between two sympatric skink species; (b) to compare species‐ and sex differences in size and shape of the morphological traits (i.e., the patterns of SSD); and (c) to assess the development of SSD and the relationships with growth rate for each morphological trait. Based on the knowledge of sex‐ and species‐specific growth trajectories, we present an improved understanding and interpretation of the ontogenetic pattern of sexual dimorphism, and ultimately for understanding the evolutionary significance of life history trait differences in genus Plestiodon.

2. MATERIALS AND METHODS

2.1. Sampling animal collection

Individuals for both skink species (weighing approximately 1.4 g) were collected from the Xiaotao Skink Farm at Xin'an County, Guangxi Province, China (110.68°E, 25.61°N), in March 2016 (Figure 1) for a total P. elegans (males = 13, females = 11) and P. quadrilineatus (males = 9, females = 7). All skinks were collected 4 weeks after hatching at the skink farm. We first placed individuals in a plastic box filled with grasses and foods (insects) and were then transferred to our laboratory facilities at the Chengdu Institute of Biology (CIB), Chinese Academy of Sciences (CAS; 104.06°E, 30.67°N). No skinks perished during transportation. All experimental procedures on animals used in the present study were approved by the Animal Care and Use Committee of the CIB, CAS. Permits for animal collection and observation were approved by the Department of Wildlife Management, Bureau of Gansu Forestry Administration, Sichuan province, China. All staff, fellows, and students received appropriate training before performing the laboratory studies.

Figure 1.

Figure 1

Photographs of Juvenile, female, and male adults of both Skinks. (a) Plestiodon elegans: Mature males have slightly reddish brown color on the ventral surface of the trunk, whereas mature females are blackish brown. (b) Plestiodon quadrilineatus: Mature males have relatively brownish red and broader heads than females

2.2. Animal husbandry

In the laboratory, all skinks were housed in standard plastic cages (26 cm L × 17.5 cm W × 12.5 cm H). To avoid mutual interference and fighting, only one skink was placed in each cage. All cages were filled with 3‐cm‐deep substrate of coconut soil (Nomoypet Products) and 2–3 cm cured hay to cover the soil and provide a layer for the skink to burrow beneath and aid in thermoregulation. A single 3‐cm‐diameter × 1‐cm‐high plastic box was filled with tap water and placed at the corner of each cage, and five grams of nutrient powder was mixed in the water each week. The powder included vitamin A, vitamin D, and various trace minerals (Repti Calcium®; Nomoypet Products). Yellow mealworm (Tenebrio molitor), Needle crickets (Achetus domesticus), and Turkistan Roaches (Blatta lateralis) were provided as the primary foods once a week.

Experiments were conducted under a photoperiod of 12‐hr L (light):12‐hr D (dark), and illumination by an incandescent light bulb (about 70 lux) mounted on the roof was provided from 07:00 to 19:00. Without access to UV light, skink may suffer from metabolic bone disease due to vitamin D3‐related calcium deficiency (Adkins et al., 2003; Diaz et al., 2015). We also provided a UV lamp (Nomoypet: UVB 10.0) at the top of each cage from 12:00 to 14:00 using an automatic timer. Ambient room temperature was controlled at 24°C by the air‐conditioning system. To maintain constant cage temperatures, ceramic heat lamp (ReptileStructure Products, 100 W) was used at a distance of 20 cm to the cage, so that daytime thermal gradients in each cage ranged from 25 to 30°C (Shen, Pei, Lin, & Ji, 2017). In order to stimulate hibernation, the photoperiod was decreased to 6 hr per day and food was withheld during the first 2 weeks. During the following 2 weeks, no light source was provided and room temperature was controlled to a constant 15°C. Skinks were finally placed at a constant 8°C in a non‐air‐conditioned room for 8 weeks, where ambient temperature matched that found from their natural habitat. After 8 weeks, we provided the skinks with foods and nutrient powder, and maintained them under conditions identical to those under which they were reared.

2.3. Morphological trait measurements

All skinks were measured once a week following standard procedures (Zhao et al., 1999). Snout‐to‐vent length (SVL: from the anterior tip of the head to the cloacal opening) and tail length (TL: distance from vent to tip of tail) were measured with a ruler to the nearest 1 mm. Body mass was measured using digital electronic balance to the nearest 0.01 g. Sex could not be determined reliably for juveniles, until they grew to an adult or subadult size. Mature males were identified by their enlarged testes and convoluted epididymis typically associated with sperm production; and matured females contain vitellogenic follicles or oviducal eggs (Du & Ji, 2001; Lazell & Ota, 2000). In P. elegans, mature males have slightly reddish brown color on the ventral surface of the trunk, whereas mature females are blackish brown. In P. quadrilineatus, mature males have relatively brownish red and broader heads than the juveniles and females. After this experiment, we conducted gonadal inspection and found all the individuals at the time for 90% limit value for SVL were sexually mature, so we defined mature age at the time when the individual reached 90% limit value for SVL.

2.4. Statistical analysis

Continuous variables were tested for normality using Wilk–Shapiro normal tests. Trait measurements were ln‐transformed to meet the assumption of least‐squares regression and generalized linear model (GLM). We used independent t test to compare sexual traits between the two sexes and used GLM to test whether variation in sexual traits was explained by species. Because most variables varied between the two sexes, we controlled sex as a fixed effect in the models.

Growth curves provide a means for visualizing growth patterns over time, and the equations can be used to predict the mathematical expectations at a specific time. Three common models (logistic, Gompertz, and von Bertalanffy) were previously used in several other lizard studies (Guarino, Di Già, & Sindaco, 2010; Wapstra, Swain, & O'Reilly, 2001). When fitting the SVL growth curve models, SVLt is the average SVL (mm) at age t (weeks), A is the upper asymptotic or maximum SVL, B is a scaling parameter (constant of integration) which is established by the initial values, and k is the growth coefficient that the characteristic growth rate at which a skink approaches this size (shape of the growth curve) (Kaufmann, 1981).

Parameters of A, B, and K were estimated by DUD methods in proc nlin function of the SAS (Ralston & Jennrich, 1978). We first set BEST = 10, which indicated the residual sums of squares only for the best 10 combinations of possible starting values from the grid. We next started to iterate the best model of these 10 combinations (with minimum sums of squares) using the Gauss–Newton method. Finally, we estimated the parameters of A, B, and K based on the iteration achieved at a minimum value. Parameters were calculated separately for males and females. To evaluate the goodness of fit of these models to the growth values, we use the R 2 value of the linear regression between observed and predicted growth to indicate the goodness of fit.

Absolute growth rate (AGR) is the instantaneous rate of growth estimated by the first derivative of the growth curve model. The differential equation for AGR is that AGR=dydt; Relative growth rate (RGR) is the rate of growth divided by the size (S). S can be any measure such as TL, SVL, and body mass. RGR is expressed as the quotient of two differentials: RGR=1S×dydt

For estimating the values of SVL, mass, and TL in adults, we first fitted the best growth model for each trait and then calculated, at the time for reaching the 90% limit values (LV) based on the best model, final recorded trait value for each individual (Tables 1 and 2). All results are shown as mean ± SE, and all tests were two‐tailed. Above statistical analyses were performed with SAS 9.2 (SAS Institute Inc., 2002. Version 9.2. SAS Institute, Cary, NC).

Table 1.

Equation and parameter estimation of three different growth curve models

Models Logistic Gompertz Von Bertalanffy
Equations Y = A/(1 + BeKt) Y = AeBexp(−Kt) Y = A(1 − BeKt)3
Absolute growth rate ABKeKt/(1 + BeKt)2 KABeBexp(−Kt)eKt 3KA(1 − BeKt)2 BeKt
Relative growth rate K(1 − y/A) K(ln A − lnyK) 3K((A/y)1/3−1)
Upper asymptote A A A
50% LV (weeks) ln 5B/K
lnBln2/K
lnB0.2063/K
70% LV (weeks) ln 7B/K
lnBln1.4286/K
lnB0.1121/K
90% LV (weeks) ln 9B/K
lnBln1.1111/K
lnB0.0345/K

Parameters are as follows: t = growth time from birth (week); A = the upper limit that the reliability approaches asymptotically as t→∞, or the maximum reliability that can be attained; B = constant; K = growth coefficient (shape of the growth curve). 50% LV: time for reaching 50% limit value; 70% LV: time for reaching 70% limit value; 90% LV: time for reaching 90% limit value.

Table 2.

Parameter estimation and goodness of fit for the best growth curve among three models (Logistic, Gompertz, and Von Bertalanffy)

Species Sex Variables Models Parameters F test Growth rate (week)
A B K F R 2 50% LV 70% LV 90% LV
Plestiodon elegans Body mass Bertalanffy 16.1011 0.551 0.0388 27.384 0.965 25.320 41.041 71.404
SVL Gompertz 8.8921 1.3778 0.0394 16.245 0.942 17.437 34.300 65.250
TL Gompertz 12.2906 1.298 0.0447 13.831 0.933 14.034 28.898 56.179
Body mass Bertalanffy 15.7578 0.5503 0.0426 68.179 0.986 23.031 37.350 65.005
SVL Gompertz 8.3623 1.1447 0.0416 12.187 0.924 12.059 28.031 57.344
TL Gompertz 11.1422 1.2336 0.0396 16.898 0.944 14.557 31.335 62.129
Plestiodon quadrilineatus Body mass Bertalanffy 20.349 0.577 0.025 18.047 0.947 41.479 66.075 113.579
SVL Gompertz 12.2337 1.227 0.023 9.431 0.904 24.830 53.718 106.736
TL Gompertz 15.5821 1.5615 0.0257 10.855 0.916 31.602 57.454 104.903
Body mass Bertalanffy 18.0618 0.558 0.024 34.177 0.971 41.460 66.875 115.962
SVL Gompertz 10.355 1.1588 0.0229 8.382 0.893 22.441 51.455 104.705
TL Gompertz 13.2846 1.236 0.023 7.895 0.888 25.148 54.035 107.054

A, B, and K were estimated by methods of DUD in nonlinear regression.

Details of each isolate code (A, B, K, 50% LV, 70% LV, and 90% LV) are given in Table 1.

3. RESULTS

3.1. Differences in morphological traits

For hatchling P. elegans, there were no significant differences between males and females (independent t test: body mass: t 22 = −1.065; p = 0.229, SVL: t 22 = 0.506, = 0.618; TL: t 22 = −1.171, = 0.254). Adult males (SVL: 8.61 ± 0.19 cm; TL: 12.15 ± 0.26 cm) were significantly larger than females (SVL: 7.60 ± 0.17 cm; TL: 10.95 ± 0.22 cm, = 11) (SVL: t 22 = −3.914, < 0.05; TL: t 22 = −3.431, < 0.05). No significant differences were found in body mass between males (15.55 ± 0.33 g, = 13) and females (14.83 ± 1.87 g, = 11) (body mass: t 22 = −1.795, = 0.086). Similar for P. quadrilineatus, there were no significant differences in body mass between the two sexes (t 14 = 0.118, = 0.908), SVL (t 14 = −1.951, = 0.071), and TL (t 14 = −2.041, = 0.061), but adult males of P. quadrilineatus attained larger sizes and greater weights (SVL: 11.22 ± 0.40 cm; TL: 14.85 ± 0.57 cm; body mass = 19.02 ± 0.17 g) than adult females (SVL: 9.75 ± 0.36 cm; TL: 12.47 ± 0.49 cm; body mass = 16.98 ± 0.27 g) (SVL: t 14 = −2.952, < 0.05; TL: t 14 = −3.089, < 0.05; body mass: t 14 = −7.243, < 0.01). Adult P. quadrilineatus were larger in body size and weight than adult P. elegans (Figures 2 and 3). After controlling for sex, the significant difference on body mass can also be explained by species (GLM: body mass: F 1,40 = 104.703, < 0.01; SVL: F 1,40 = 85.974, < 0.01; TL: F 1,40 = 30.919, < 0.01).

Figure 2.

Figure 2

Growth rate and curve fitting on mass, SVL and TL for Plestiodon elegans. Parameters for these curves are presented in Table 2. AGR, absolute growth rate; Hibernation, from 37 to 48 weeks; MassExp, expected fitting curve for mass; MassTL, expected fitting curve for TL; RGR, relative growth rate; SVL, snout–vent length; SVLExp, expected fitting curve for SVL; TL, tail length

Figure 3.

Figure 3

Growth rate and curve fitting on body mass, SVL and TL for Plestiodon quadrilineatus. Parameters for these curves are presented in Table 1. AGR, absolute growth rate; Hibernation, 37–48 weeks (break 1) and 86–97 weeks (break 2); MassExp, expected fitting curve for mass; MassTL, expected fitting curve for TL; RGR, relative growth rate; SVL, snout–vent length; SVLExp, expected fitting curve for SVL; TL, tail length

3.2. Model performance on growth circle and growth rate

Three models of Gompertz, Logistic, and von Bertalanffy were used to fit growth curves for both skink species (Table 1). Nonlinear regression showed that the p values for all these models were <0.05, suggesting that all three models were suitable to fit the growth curves (Table 2). However, goodness‐of‐fit tests for body mass, SVL, and tail length varied among models. Body mass model goodness of fit was better using the von Bertalanffy model as evident by higher R 2 values than other models (R 2 = 0.965 for male P. elegans, R 2 = 0.986 for female P. elegans, and R 2 = 0.947 for male P. quadrilineatus, R 2 = 0.971 for female P. quadrilineatus). However, goodness of fit for SVL and TL for both skinks was better using Gompertz model (Table 2). Estimations of growth of body mass, SVL, and TL for each individual based on the time required to complete growth revealed that male P. elegans reached 90% LV for TL over a shorter time period than females (56.179 vs. 62.129 weeks). Female P. elegans reached 90% LV for SVL and body mass in less time than males (body mass: 65.005 weeks; SVL: 57.344 weeks). We also found that the growth rate of TL for males was greater than in female P. elegans in an earlier period of the growth circle (Figure 2d,f). In contrast, females had a higher growth rate in body mass than males in the beginning growth period (Figure 2a,b). Generally, P. quadrilineatus presented slower growth and more delayed maturity than P. elegans (Table 2 and Figure 2). In P. quadrilineatus, the time for reaching 90% LV of body mass, SVL, and TL was all substantially over 100 weeks (Table 2). Growth rates for body mass, SVL, and TL were consistently higher in males than females (Figure 3b,d,f).

4. DISCUSSION

4.1. Development of SSD

In this study, we found no significant differences in body mass, SVL, and TL between hatchlings of the two sexes for both skink species. However, significant male‐biased SSD was identified in adults (Figures 2 and 3). It raises an important question that how would male‐biased SSD develop before adulthood. As sexes can differ markedly in the shape of their growth curves, overall rates of growth, duration of growth, and age at maturity, we assessed the development of SSD by considering all those factors that can themselves be subjected to selection. Specifically, adult P. quadrilineatus showed obvious male‐biased SSD in all three morphological traits (i.e., body mass, SVL, and TL), while P. elegans had similar body mass between both two sexes (but male‐biased SSD in SVL and TL). We suggest that this may be strongly related to their divergent life history strategies since P. elegans generally grows faster and matures earlier than P. quadrilineatus (Figures 2 and 3) which may also indicate that P. elegans can start to breed earlier than P. quadrilineatus (Lazell & Ota, 2000; Xu, Wu, & Wu, 2004). This may partially explain our findings on the growth patterns of different morphological traits. By calculating the growth rate, we have shown that under our laboratory conditions, female P. elegans had higher absolute growth rate on body mass than males during the early growth cycle, but male P. elegans had greater absolute growth rate at TL (Figure 2d,f). Thus, female P. elegans may prefer to invest more energy on body mass increasing to enable early breeding and to have relatively high fecundity (Du & Ji, 2001; Shu, Du, Zhao, & Hu, 2004). On the other hand, as male tail length has long been proved as an important mate choice criterion for female lizards (Gienger & Beck, 2007), male P. elegans may have to develop their tails in the first hand to match the relatively early breeding females (Cooper & Vitt, 1989; Huang, 1996). Previous laboratory research on other lizards also indicated that faster growth in certain body parts (e.g., development of wider jaws, larger SVL) could increase the probability of attracting a mate (Zhang, Tong, Wo, Liu, & Jin, 2018). Furthermore, P. elegans should face relatively strong selection due to the more limited energy intake during a shorter time period. Males and females have to trade‐off between developing certain body parts (e.g., tail) and increasing body mass which may cause divergent growth patterns for TL and body mass between the two sexes of P. elegans during the period immediately following hatchling. Also, if sexual selection on body mass is relatively weak, male P. elegans may benefit by maintaining a relatively light body (i.e., non‐SSD in body mass), which may allow them to be more highly mobile, and spend more time and energy on searching for mates instead of food (Trivers, 1976). This is typical for in populations where densities are low and females are widely dispersed, so that male mating success depends on the number of females encountered rather than on competitive advantages over other males (Zamudio, 1998).

The bright blue tail color functions to divert predatory attention away from the head and body, and the tail can be readily autotomized during predation events (Bateman, Fleming, & Rolek, 2014). Nonetheless, owning and maintaining a blue tail should be costly. On one hand, individuals would have to allocate more energy to produce the pigment materials to maintain the blue color. On the other hand, although they may have a higher probability of escaping from predations through autotomizing, tailless individuals have long been known to have impaired locomotor performance (Vitt & Cooper, 1986) and have to allocate additional energy to produce new tails. Therefore, the two skink species used in this study should apply two different strategies in tail color investment. P. quadrilineatus would keep the blue tail after sexual maturing, which may imply that they enjoy higher survivability by allocating more energy in maintaining the blue tails. In contrast, the blue tail color of P. elegans would gradually fade until adulthood, the trade‐off being that they must now save energy for growth and/or reproduction at the cost of facing higher predation risks. This is in line with our results that P. elegans grows faster and matures earlier than P. quadrilineatus (Figures 2 and 3) although we have no direct data to support the potential relationship between reduced mortality and delay at age of sexual maturity due to limited field studies on P. quadrilineatus. Presumably, longer time to mature enables the skinks to accept the costs from maintaining their blue tails, and as a trade‐off, they may have reduced predation.

4.2. Model fitting

Growth curves are empirical modes that can be used to study the evolution of a quantity over time, which is widely used in biology for quantities such as population size or biomass for population growth analysis (Werner & Gilliam, 1984; Westerbom, Kilpi, & Mustonen, 2002), and individual body size or biomass for growth analysis of individuals (Bjorndal, Parsons, Mustin, & Bolten, 2013; Halliday & Verrell, 1988). As useful tools to fit and predict growth tendencies, three classic models for growth curves (Gompertz, Logistic, and von Bertalanffy) were reported and applied in previous study (Kaufmann, 1981).

All the above models fitting the data are based on the method of nonlinear least squares and iterative procedures, so the related characteristic growth parameters (growth rate, inflection point, limiting value, etc.) can be derived from these fittings (Table 1). But these growth models were designed under a strong assumption that growth is a monotonically increasing function of time. Another condition in need of consideration is that many equations used to fit the growth curves are sensitive to irregularity of spacing of the size age points. Frequently, neither of the conditions could be held, especially for weight data collected under field conditions. Random events such as the stresses of climate, productivity, and diseases can also affect weight negatively and lead to a sharp decline from time to time. Moreover, growth parameters are often affected by different situations: temperature, food availability, population density, predator risk, etc. (Dunham, 1978; Schoener & Schoener, 1978; Sinervo, 1990), with similar situations arising in the experimental conditions (Duncan, Duncan, & Strycker, 2013).

Building on the previous studies that have used all three models of growth rates, all key conditions were controlled in our experiments to reduce the potential interference of such factors on ontogenetic growth and identify factors specific to sexes and between species. Furthermore, all morphological traits were measured weekly. To control for the effect of hibernation (no increment at this time), we added a break at the time for the curve fit (Figures 2 and 3). Our results showed that the best models for morphological fitting varied with morphological traits, but all three models for mass, SVL, and TL were high correlations for the goodness of fit (All R 2 > 0.85, < 0.05, Table 2), and these could be used for estimating age of both lizard species in future studies. Additionally, since we were mainly concerned about the growth pattern differences (but not the direct characteristic differences) between the two sympatric skinks in this study, we can effectively avoid the logical and statistical limitations of two‐species comparative studies given by Garland and Adolph (1994) since our comparisons were conducted for the same species under different life history periods.

5. CONCLUSIONS

Our findings support that male‐biased SSD in both skinks and fit the growth curves for morphological traits. The two species of skink display divergent life history strategies: P. elegans grows rapidly, matures early (at 65 weeks), and has allometric growth rate (TL), whereas P. quadrilineatus grows slowly, matures late (at 106 weeks), and has isogonic growth rate. Species‐ and sex‐specific trade‐offs in the allocation of energy to growth and reproduction cause the growth patterns to diverge, which may produce the dissimilar patterns of SSD. Our findings also highlight the importance for further researches to test the predictions of our hypothesis about the cause of the cline in sexual dimorphism of escape behavior and sexual selection, and to ascertain whether similar clines occur in other taxa.

CONFLICT OF INTEREST

None declared.

AUTHOR CONTRIBUTIONS

C.Y. and N.L. conceived the ideas and designed methodology; C.Y. and J.Z. collected the data; C.Y. and N.L. analyzed the data; C.Y., R.E.D., and N.L. led the writing of the manuscript. All authors contributed to drafts and gave final approval for publication.

ACKNOWLEDGMENTS

We would like to extend our sincere thanks to Sitan Huang and Jun WEI for their help on the sample collection. We thank Yin QI and Guangzhan FANG for their support on the laboratory. We sincerely thank Dr. Huw Lloyd for his help in improving the English writing of this manuscript. This research was supported by the National Natural Science Foundation of China (Grant Nos. 31500316; 31672298) and the Fundamental Research Funds for the Central Universities.

Yang C, Zhao J, Diaz RE, Lyu N. Development of sexual dimorphism in two sympatric skinks with different growth rates. Ecol Evol. 2019;9:7752–7760. 10.1002/ece3.5358

DATA ACCESSIBILITY

All the data generated for this study are uploaded to Dryad Digital Repository. DOI: https://doi.org/10.5061/dryad.nb25502.

REFERENCES

  1. Adkins, E. , Driggers, T. , Ferguson, G. , Gehrmann, W. , Gyimesi, Z. , May, E. , … Klaphake, E. . (2003). Ultraviolet light and reptiles, amphibians. Journal of Herpetological Medicine and Surgery, 13, 27–37. [Google Scholar]
  2. Bateman, P. W. , Fleming, P. A. , & Rolek, B. (2014). Bite me: Blue tails as a ‘risky‐decoy’ defense tactic for lizards. Current Zoology, 60, 333–337. [Google Scholar]
  3. Bjorndal, K. A. , Parsons, J. , Mustin, W. , & Bolten, A. B. (2013). Threshold to maturity in a long‐lived reptile: Interactions of age, size, and growth. Marine Biology, 160, 607–616. [Google Scholar]
  4. Blanckenhorn, W. U. (2005). Behavioral causes and consequences of sexual size dimorphism. Ethology, 111, 977–1016. [Google Scholar]
  5. Bonneaud, C. , Marnocha, E. , Herrel, A. , Vanhooydonck, B. , Irschick, D. J. , & Smith, T. B. (2016). Developmental plasticity affects sexual size dimorphism in an anole lizard. Functional Ecology, 30, 235–243. 10.1111/1365-2435.12468 [DOI] [Google Scholar]
  6. Braña, F. (1996). Sexual dimorphism in lacertid lizards: Male head increase vs female abdomen increase? Oikos, 75, 511–523. [Google Scholar]
  7. Brandley, M. C. , Ota, H. , Hikida, T. , Nieto Montes De Oca, A. , Feria‐Ortiz, M. , Guo, X. , & Wang, Y. . (2012). The phylogenetic systematics of blue‐tailed skinks (Plestiodon) and the family Scincidae. Zoological Journal of the Linnean Society, 165, 163–189. 10.1111/j.1096-3642.2011.00801.x [DOI] [Google Scholar]
  8. Bülbül, U. , Kurnaz, M. , Eroğlu, Aİ. , Koç, H. , & Kutrup, B. (2016). Age and growth of the red‐belied lizard, Darevskia parvula . Animal Biology, 66, 81–95. [DOI] [PubMed] [Google Scholar]
  9. Cooper, W. E. , & Vitt, L. J. (1985). Blue tails and autotomy: Enhancement of predation avoidance in juvenile skinks. Ethology, 70, 265–276. 10.1111/j.1439-0310.1985.tb00518.x [DOI] [Google Scholar]
  10. Cooper Jr, W. E. , & Vitt, L. J. (1989). Sexual dimorphism of head and body size in an iguanid lizard: Paradoxical results. American Naturalist, 133, 729–735. [Google Scholar]
  11. Cox, R. M. , Skelly, S. L. , & John‐Alder, H. B. (2003). A comparative test of adaptive hypotheses for sexual size dimorphism in lizards. Evolution, 57, 1653–1669. [DOI] [PubMed] [Google Scholar]
  12. Diaz, R. E. , Anderson, C. V. , Baumann, D. P. , Kupronis, R. , Jewell, D. , Piraquive, C. , … Trainor, P. A. . (2015). Captive care, raising, and breeding of the veiled chameleon (Chamaeleo calyptratus). Cold Spring Harbor Protocols, 2015, 943. [DOI] [PubMed] [Google Scholar]
  13. Du, W. , & Ji, X. (2001). Growth, sexual size dimorphism and female reproduction of blue tailed skinks, Eumeces elegans . Zoological Research, 22, 279–286. [Google Scholar]
  14. Duncan, T. E. , Duncan, S. C. , & Strycker, L. A. (2013). An introduction to latent variable growth curve modeling: Concepts, issues, and application. New York, NY: Routledge Academic. [Google Scholar]
  15. Dunham, A. E. (1978). Food availability as a proximate factor influencing individual growth rates in the iguanid lizard Sceloporus merriami . Ecology, 59, 770–778. [Google Scholar]
  16. Garland, T. , & Adolph, S. C. (1994). Why not to do two‐species comparative studies: Limitations on inferring adaptation. Physiological Zoology, 67, 797–828. [Google Scholar]
  17. Gienger, C. M. G. C. M. , & Beck, D. D. B. D. D. (2007). Heads or tails? Sexual dimorphism in helodermatid lizards. Canadian Journal of Zoology, 85, 92–98. [Google Scholar]
  18. Guarino, F. M. , Di Già, I. , & Sindaco, R. (2010). Age and growth of the sand lizards (Lacerta agilis) from a high Alpine population of north‐western Italy. Acta Herpetologica, 5, 23–29. [Google Scholar]
  19. Halliday, T. R. , & Verrell, P. A. (1988). Body size and age in amphibians and reptiles. Journal of Herpetology, 22, 253–265. [Google Scholar]
  20. Hawlena, D. , Boochnik, R. , Abramsky, Z. , & Bouskila, A. (2006). Blue tail and striped body: Why do lizards change their infant costume when growing up? Behavioral Ecology, 17, 889–896. [Google Scholar]
  21. Hierlihy, C. , Garcia‐Collazo, R. , B. Chavez Tapia, C. , & Mallory, F. (2013). Sexual dimorphism in the lizard Sceloporus siniferus: Support for the intraspecific niche divergence and sexual selection hypotheses. Salamandra, 49, 1–6. [Google Scholar]
  22. Huang, W. (1996). Sexual size dimorphism in the five‐striped blue‐tailed skink, Eumeces elegans, with notes on its life history in Taiwan. Zoological Studies, 35, 188–194. [Google Scholar]
  23. Isaac, J. L. (2005). Potential causes and life‐history consequences of sexual size dimorphism in mammals. Mammal Review, 35, 101–115. 10.1111/j.1365-2907.2005.00045.x [DOI] [Google Scholar]
  24. Ji, X. , Lin, L. H. , Lin, C. X. , Qiu, Q. B. , & Du, Y. (2006). Sexual dimorphism and female reproduction in the many‐lined sun skink (Mabuya multifasciata) from China. Journal of Herpetology, 40, 351–357. [Google Scholar]
  25. Kaliontzopoulou, A. , Carretero, M. A. , & Adams, D. C. (2015). Ecomorphological variation in male and female wall lizards and the macroevolution of sexual dimorphism in relation to habitat use. Journal of Evolutionary Biology, 28, 80–94. 10.1111/jeb.12540 [DOI] [PubMed] [Google Scholar]
  26. Kaufmann, K. W. (1981). Fitting and using growth curves. Oecologia, 49, 293–299. [DOI] [PubMed] [Google Scholar]
  27. Kubička, L. , Golinski, A. , John‐Alder, H. , & Kratochvíl, L. (2013). Ontogeny of pronounced female‐biased sexual size dimorphism in the Malaysian cat gecko (Aeluroscalabotes felinus: Squamata: Eublepharidae): A test of the role of testosterone in growth regulation. General and Comparative Endocrinology, 188, 183–188. [DOI] [PubMed] [Google Scholar]
  28. Lammers, A. R. , Dziech, H. A. , & German, R. Z. (2001). Ontogeny of sexual dimorphism in Chinchilla lanigera (Rodentia: Chinchillidae). Journal of Mammalogy, 82, 179–189. [Google Scholar]
  29. Lande, R. (1980). Sexual dimorphism, sexual selection, and adaptation in polygenic characters. Evolution, 34, 292–305. [DOI] [PubMed] [Google Scholar]
  30. Lazell, J. , & Ota, H. (2000). Aspects of life history, ecology, and distribution of the Asiatic four‐lined skink, Eumeces quadrilineatus, in south China. Breviora, 509, 1–9. [Google Scholar]
  31. Manicom, C. , Alford, R. , Schoener, T. W. , & Schwarzkopf, L. (2014). Mechanisms causing variation in sexual size dimorphism in three sympatric, congeneric lizards. Ecology, 95, 1531–1544. 10.1890/13-0693.1 [DOI] [PubMed] [Google Scholar]
  32. Ralston, M. L. , & Jennrich, R. I. (1978). DUD, a derivative‐free algorithm for nonlinear least squares. Technometrics, 20, 7–14. [Google Scholar]
  33. Scharf, I. , & Meiri, S. (2013). Sexual dimorphism of heads and abdomens: Different approaches to ‘being large’ in female and male lizards. Biological Journal of the Linnean Society, 110, 665–673. 10.1111/bij.12147 [DOI] [Google Scholar]
  34. Schoener, T. W. , & Schoener, A. (1978). Estimating and interpreting body‐size growth in some Anolis lizards. Copeia, 1978, 390–405. [Google Scholar]
  35. Schwarzkopf, L. (2005). Sexual dimorphism in body shape without sexual dimorphism in body size in water skinks (Eulamprus quoyii). Herpetologica, 61, 116–123. [Google Scholar]
  36. Shen, W. , Pei, J. , Lin, L. , & Ji, X. (2017). Effects of constant versus fluctuating incubation temperatures on hatching success, incubation length, and hatchling morphology in the Chinese skink (Plestiodon chinensis). Asian Herpetological Research, 8, 262–268. [Google Scholar]
  37. Shine, R. (1989). Ecological causes for the evolution of sexual dimorphism: A review of the evidence. The Quarterly Review of Biology, 64, 419–461. [DOI] [PubMed] [Google Scholar]
  38. Shu, L. , Du, W. , Zhao, J. , & Hu, L. (2004). Effects of food and reproduction on energy storage in blue‐tailed skink, Eumeces elegans . Chinese Journal of Applied and Environmental Biology, 10, 329–331. [Google Scholar]
  39. Sinervo, B. (1990). Evolution of thermal physiology and growth rate between populations of the western fence lizard (Sceloporus occidentalis). Oecologia, 83, 228–237. [DOI] [PubMed] [Google Scholar]
  40. Stamps, J. , & Krishnan, V. V. (1997). Sexual bimaturation and sexual size dimorphism in animals with asymptotic growth after maturity. Evolutionary Ecology, 11, 21–39. 10.1023/a:1018479312191 [DOI] [Google Scholar]
  41. Stamps, J. A. , Losos, J. B. , & Andrews, R. M. (1997). A comparative study of population density and sexual size dimorphism in lizards. American Naturalist, 149, 64–90. 10.1086/285979 [DOI] [Google Scholar]
  42. Trivers, R. L. (1976). Sexual selection and resource‐accruing abilities in Anolis garmani. Evolution, 30, 253–269. [DOI] [PubMed] [Google Scholar]
  43. Uetz, P. , Freed, P. , & Jirí, H. (2018). The reptile database. Retrieved from http://www.reptile-database.org
  44. Vitt, L. J. , & Cooper Jr, W. E. (1986). Tail loss, tail color, and predator escape in Eumeces (Lacertilia: Scincidae): Age‐specific differences in costs and benefits. Canadian Journal of Zoology, 64, 583–592. [Google Scholar]
  45. Wapstra, E. , Swain, R. , & O'Reilly, J. M. (2001). Geographic variation in age and size at maturity in a small Australian viviparous skink. Copeia, 2001, 646–655. [Google Scholar]
  46. Werner, E. E. , & Gilliam, J. F. (1984). The ontogenetic niche and species interactions in size‐structured populations. Annual Review of Ecology and Systematics, 15, 393–425. [Google Scholar]
  47. Westerbom, M. , Kilpi, M. , & Mustonen, O. (2002). Blue mussels, Mytilus edulis, at the edge of the range: Population structure, growth and biomass along a salinity gradient in the north‐eastern Baltic Sea. Marine Biology, 140, 991–999. [Google Scholar]
  48. Xu, X. , Wu, L. , & Wu, Y. (2004). Utilization of egg material and energy by the blue–tail skinks ({\sl Eumeces elegans}) embryos during incubation. Chinese Journal of Zoology, 39, 2–4. [Google Scholar]
  49. Zamudio, K. R. (1998). The evolution of female‐biased sexual size dimorphism: A population‐level comparative study in horned lizards (Phrynosoma). Evolution, 52, 1821–1833. [DOI] [PubMed] [Google Scholar]
  50. Zhang, K. , Tong, H. , Wo, Y. , Liu, N. , & Jin, Y. (2018). Sex ratio and sexual size dimorphism in a toad‐headed lizard, Phrynocephalus guinanensis . Asian Herpetological Research, 9, 35–42. [Google Scholar]
  51. Zhao, E. , Zhao, K. T. , & Zhou, K. Y. (1999). Fauna sinica. Reptilia. Vol. 2. Squamata, Lacertilia (pp. 1–395). Beijing, China: Science Press. [Google Scholar]
  52. Zhong, G. , Liu, Q. , Li, C. , Peng, P. , & Guo, P. (2017). Sexual dimorphism and geographic variation in the Asian lance‐headed pitviper Protobothrops mucrosquamatus in the mainland China. Asian Herpetological Research, 8, 118–122. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All the data generated for this study are uploaded to Dryad Digital Repository. DOI: https://doi.org/10.5061/dryad.nb25502.


Articles from Ecology and Evolution are provided here courtesy of Wiley

RESOURCES