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Research Article
Microhabitat-scale thermal determinants of body temperature in Anatololacerta anatolica from Mount Spil, Western Anatolia
expand article infoÇetin Çelik‡§, Murat Afsar|, Mehmet Kürşat Şahin#
‡ Akhisar Bilim ve Sanat Merkezi, Manisa, Türkiye
§ Manisa Celal Bayar University Graduate School, Manisa, Türkiye
| Department of Biology, Faculty of Science, Manisa Celal Bayar Üniversitesi, Manisa, Türkiye
¶ Department of Biology, Faculty of Science, Hacettepe University, Ankara, Türkiye
# Hacettepe University Biological Diversity Research and Application Center, Ankara, Türkiye
Open Access

Abstract

Lizards, as ectothermic organisms, are largely dependent on the thermal characteristics of their habitats for the maintenance of their biological processes. This research aims to quantitatively elucidate the correlation between the body temperature (Tb) of the Anatololacerta anatolica population on Mount Spil (Manisa), Western Anatolia, and core environmental variables at the microhabitat level, including surface temperature (Ts), air temperature (Ta), solar radiation, and wind speed. Field surveys were conducted between April and October 2025, during which cloacal body temperature data obtained from 89 individuals were analyzed alongside simultaneous microhabitat parameters.

Descriptive statistical data confirmed that the species is an active thermoregulator, as the mean body temperature of the lizards (32.32 ± 4.53 °C) was found to be statistically significantly higher than both the surface temperature (30.6 ± 6.97 °C) and the air temperature (28.1 ± 4.04 °C). Multiple regression analyses demonstrated that Ts and solar radiation are the strongest positive predictors of Tb. Principal component analysis (PCA) results, explaining approximately 76% of the total variance, determined that Tb, Ts, and solar radiation clustered on the primary axis (PC1), while wind speed was situated on an independent axis (PC2) that is statistically decoupled from this radiative thermal system.

The findings indicate that A. anatolica adopts a strategy integrating both solar radiation and thermal substrates, specifically heliothermy and thigmothermy, during the process of heat acquisition. It was observed that the species suppresses the convective cooling effect of wind through strategic microhabitat preferences, such as utilizing rock crevices and the base of vegetation, thereby exhibiting the Bogert effect to stabilize its thermal safety margins. Consequently, within the framework of climate change scenarios, it is essential to prioritize microhabitat-scale thermal heterogeneity and the continuity of thermal refugia over macroclimatic averages when evaluating the thermal sensitivity of the species.

Key Words

Anatolian rock lizard, climate sensitivity, ectothermic organism, solar radiation, surface temperature, thermal ecology, wind speed

Introduction

Ectothermic organisms, such as reptiles, amphibians, and most invertebrates, are unable to produce sufficient metabolic heat to regulate their internal temperature and therefore depend on external heat sources to achieve the body temperatures (Tb) required to sustain their physiological, ecological, and behavioral processes (Vitt and Caldwell 2014; Reppa et al. 2023). The strategies that ectotherms employ to cope with environmental thermal variability fall along a continuum between two extremes: thermoconformers, whose body temperature closely tracks the temperature of their immediate environment, and thermoregulators, which actively maintain Tb within a narrower preferred range by exploiting spatial and temporal thermal heterogeneity through behavioral and, to a lesser extent, physiological mechanisms (Hertz et al. 1993; Bakken and Angilletta Jr 2014). Distinguishing between these strategies is fundamental to understanding the thermal ecology of a species and its potential vulnerability to climate change.

During thermoregulation, lizards exploit several heat sources that operate through distinct physical pathways. Solar radiation, high-energy radiation in the ultraviolet, visible, and shortwave-infrared spectra (≈290–3000 nm), is generally considered the primary heat source for diurnal lizards and is transferred by radiation (Gans 1982; Vitt and Caldwell 2014). Substrate temperature (Ts, also denoted Tsubstrate) is the temperature of the soil, rock, sand, or leaf litter with which the lizard is in direct contact and transfers heat by conduction (Bakken 1992; Crawford et al. 1983; Menezes and Rocha 2011; Bonavita et al. 2025). Air temperature (Ta) is the temperature of the surrounding medium measured outside the animal’s thermal and hydrodynamic boundary layers and influences Tb mainly through convective exchange (Gans 1982; IUPSThermalCommission 2001; Hertz et al. 1993). Lizards that raise Tb primarily by basking in direct sunlight are classified as heliotherms, whereas those that rely mainly on conductive exchange with warm substrates are classified as thigmotherms (Gans 1982; Şahin and Kuyucu 2021; Dıblan et al. 2026). Many species, in fact, combine both strategies, and wind can further modify heat balance by enhancing convective heat loss when Tb exceeds Ta (Villavicencio et al. 2007; Virens and Cree 2022).

Because these heat sources vary at very fine spatial scales, macroclimatic data (e.g., weather-station air temperatures or gridded climate surfaces such as WorldClim) are often poor proxies for the temperatures actually experienced by ectotherms (Bakken and Angilletta Jr 2014; Lembrechts and Lenoir 2020; Sears and Angilletta Jr 2015; Sears et al. 2016). Vegetation cover, rock crevices, orientation, slope, and substrate type create fine-scale thermal mosaics that provide opportunities for behavioral thermoregulation (Adolph and Porter 1993; Díaz 1997; Li et al. 2017). By selecting favorable microhabitats, lizards can maintain Tb near their preferred range even when macroclimatic conditions would predict otherwise—a phenomenon known as the Bogert effect, in which behavioral buffering of the thermal environment may slow the pace of physiological evolution and mask the climatic vulnerability of a species (Logan et al. 2019). Assessing the thermal biology of ectotherms therefore requires measurements at the microhabitat scale, integrating Ts, Ta, solar radiation, and wind.

The Anatolian rock lizard, Anatololacerta anatolica (Werner 1902), is a small diurnal lacertid endemic to western Anatolia, distributed from north of the Büyük Menderes River to Bursa in the northwest and extending eastward into Central Anatolia at elevations up to ~1,600 m (Karakasi et al. 2021; Şahin et al. 2022). Two subspecies are currently recognized, of which A. a. anatolica occurs in northwestern Anatolia, including Mount Spil (Oğuz 2020). The species typically inhabits rocky areas with dense vegetation and proximity to moisture and is frequently found under stones at ambient temperatures of 25–30 °C (Oğuz 2020). Previous work has reported a preferred Tb of approximately 34.5 °C in adults (Oğuz 2020), but data on how individuals in natural populations integrate solar radiation, substrate temperature, air temperature, and wind at the microhabitat scale remain scarce. Potential threats include habitat loss, disturbance of rock shelters, and, notably, climate change: bioclimatic modeling predicts a northward contraction of suitable habitat for the genus under future climate scenarios (Bozkurt 2022; Oğuz 2020; Şahin et al. 2022). Understanding whether A. anatolica is a thermoconformer or a thermoregulator, and whether it relies mainly on heliothermy or thigmothermy, is therefore essential for realistic projections of its climatic sensitivity.

The primary objective of this study is to quantify the relationship between Tb and the microhabitat-scale thermal variables Ts, Ta, solar radiation, and wind speed in Anatololacerta anatolica from Mount Spil (Manisa, western Anatolia). Specifically, this study aims to (i) determine whether the population behaves as a thermoconformer or an active thermoregulator, (ii) identify whether it relies predominantly on heliothermic or thigmothermic heat acquisition, (iii) evaluate potential sex differences in thermal parameters, and (iv) evaluate the direction and magnitude of the influence exerted by each environmental variable on Tb. The findings are intended to contribute to the characterization of the species’ thermal niche and to provide a baseline for assessing its potential vulnerability to future environmental change.

Material and methods

Study area

This study was conducted on Mount Spil (38.52°N, 27.42°E), located within the boundaries of the Lower Gediz Sub-Basin in the Aegean Region of Türkiye. The study area lies to the south of Manisa city center and east of İzmir province, covering an area of approximately 27,435 ha. Elevation ranges from 50 m at the base to 1,517 m at the summit of Karadağ Peak (Çağlar 2024). Mount Spil lies within the Mediterranean Phytogeographical Region; vegetation consists primarily of Mediterranean maquis (Quercetum coccifera), forests (Pinus brutia and Pinus nigra), and transitional mountain steppe zones (Duman 1985; Kumlutaş et al. 2001; Semenderoğlu et al. 2020; Çağlar 2024).

According to the Köppen-Geiger classification, the region experiences a Csa-type Mediterranean climate, marked by hot, dry summers and mild, wet winters (Peel et al. 2007). Long-term data (1930–2025) from the Manisa Meteorological Station indicate an annual average temperature of 16.9 °C. The average maximum temperature occurs in July (35.1 °C), while the average minimum is recorded in January (3.1 °C). Average winter temperatures range between 6–8 °C, and in summer, temperatures typically exceed 28 °C. Recorded extremes include a maximum of 45.5 °C and a minimum of –17.5 °C (General Directorate of Meteorology of the Republic of Türkiye 2025).

Focal species

The focal organism used in this study is Anatololacerta anatolica (Werner 1902), a diurnal lacertid endemic to western Anatolia. On Mount Spil, the populations belong to the nominotypical subspecies A. a. anatolica, which is distributed throughout northwestern Anatolia (Oğuz 2020; Şahin et al. 2022).

Sex was determined in the field based on primary sexual characteristics: males were identified by the presence of hemipenes, while females were identified by the absence of this trait (Budak and Göçmen 2008). Individuals with snout–vent length (SVL) ≥ 55 mm were classified as adults, following skeletochronological data reported for this species by Yakin and Tok (2015); smaller individuals were recorded as juveniles and excluded from sex-specific analyses. All animals were measured (SVL; ±0.01 mm) and weighed (±0.01 g) in the field immediately after body temperature recording and released at the point of capture.

Field measurements

Fieldwork was conducted between April and October 2025, during which data were collected from 125 individuals. Upon capture of a lizard, the “capture–immediate measurement” technique was employed (Taylor et al. 2021), using an infrared thermometer equipped with a fast-response J-type thermocouple (Fluke 561™ Infrared Thermometer; 0.1 °C resolution) to measure body temperature (Tb) via cloacal insertion (1–10 mm depth), and the reading was recorded within 10 s (Carretero 2012; Barroso et al. 2016; Taylor et al. 2021). The rapidity of measurement was essential to minimize the potential influence of heat transfer from the researcher’s hand or stress-induced changes in the lizard’s body temperature (Gans 1982; Carretero 2012; Barroso et al. 2016).

The surface temperature (Ts) of the microhabitat at the exact point of capture was measured using the same infrared thermometer (Fluke 561™; 0.1 °C resolution) (Barroso et al. 2016). To ensure accuracy, the device was pre-calibrated to account for factors such as measurement distance and the emissivity of the surface (Carretero 2012; Taylor et al. 2021). Air temperature (Ta) was measured 1 cm above the ground with a digital thermometer integrated with a J-type thermocouple (Uni-T UT-320DTM Mini) (Maia-Carneiro and Rocha 2013; Ortega et al. 2019; Stellatelli et al. 2018); the sensor and probe were kept under shaded conditions to avoid direct exposure to solar radiation (Ortega et al. 2016; Rivera-Rea et al. 2023). Solar radiation was recorded using an Apogee MP-200™ pyranometer (Crawford et al. 1983), and wind speed was measured with a Testo 410™ anemometer (Dodd 2016) at the height corresponding to the lizard’s position (1–10 cm above ground) to ensure ecologically relevant data (Crawford et al. 1983).

Statistical analysis

All analyses were performed in R (version 2026.01.0+392) using the packages tidyverse, ggplot2, FactoMineR, factoextra, corrplot, lubridate, car, lme4, MuMIn, GGally, effsize, magrittr, and MASS (Bates et al. 2015; Husson et al. 2016; Kassambara and Mundt 2016; Ripley et al. 2013; Wei and Simko 2017; Wickham 2011, 2016). Of the 125 individuals sampled in the field, 89 had complete records for Tb and all four microhabitat variables and were retained for statistical analysis.

The following analyses were carried out, each with a specific objective: (i) paired-sample t-tests were used to test whether Tb differed from Ts and from Ta in the same individuals, i.e., whether the population behaves as an active thermoregulator rather than a passive thermoconformer. (ii) Cohen’s d was computed as an effect size to quantify the biological magnitude of the Tb–Ts and Tb–Ta differences, complementing the p-values. (iii) Pearson correlation analysis on all pairs of thermal variables was used to describe the overall association structure of the thermal environment (magnitude and sign of the linear relationships, without controlling for other variables). (iv) Multiple linear regression with Tb as the response and Ts, Ta, solar radiation, and wind speed as simultaneous predictors was used to identify which environmental variables have a unique, independent effect on Tb once the others are held constant; the standardized regression coefficients (β) provide the direction and magnitude of each variable’s influence on Tb. Variance inflation factors (VIFs) were computed to check for multicollinearity (VIF < 5 considered acceptable). (v) A reduced (parsimonious) model containing only the two a priori strongest predictors (Ts and solar radiation) was compared with the full model using the second-order Akaike information criterion (AICc); ΔAICc < 2 was interpreted as indicating similar empirical support. (vi) Partial regression plots and effect plots were used to visualize the marginal contribution of each predictor to Tb after controlling for the others. (vii) Principal component analysis (PCA) on environmental variables plus Tb (standardized to unit variance) was used as a descriptive, dimension-reducing technique to summarize the covariance structure of the thermal environment and to visualize how Tb relates, as a whole, to the underlying radiative–thermal and convective gradients. Thus, the correlation and regression analyses quantify the direction and magnitude of each variable’s influence on Tb, whereas PCA is used only as an exploratory description of the overall covariance pattern. To assess potential sex differences in thermal parameters, Welch’s two-sample t-tests were applied to compare mean Tb, SVL, and body mass between males and females, with effect sizes quantified using Cohen’s d. To evaluate whether body size influences field Tb—as would be expected if thermal inertia were a significant factor—simple linear regression was performed with SVL and body mass as predictors of Tb, restricted to adult individuals.

Results

Overview of thermal measurements

Between April and October 2025, 125 field observations were collected from Anatololacerta anatolica on Mount Spil, Manisa. Measurements included cloacal body temperature (Tb), surface temperature (Ts), air temperature (Ta), solar radiation, and wind speed (Suppl. material 2: table SS1). Among these, 89 Tb values met quality criteria for inclusion in further analysis (e.g., reliable cloacal measurements and paired environmental data). Mean field body temperature was 32.32 ± 4.53 °C (range: 18.4–39.6 °C), which was significantly higher than both mean Ts (30.6 ± 6.97 °C; paired t-test: t(88) = 3.34, p = 0.001) and mean Ta (28.10 ± 4.04 °C).

Body temperature vs. surface temperature

A paired t-test showed that A. anatolica maintained Tb significantly higher than Ts (t(88) = 3.34, p = 0.001; mean difference = 1.76 °C, 95% CI [0.71, 2.81]), although the effect size was small (Cohen’s d = 0.27). The distribution of Tb–Ts differences (Fig. 1) was right-skewed, with most individuals maintaining Tb slightly above Ts.

Figure 1. 

Frequency distribution of the body-temperature excess over surface temperature (ΔT = Tb – Ts, °C) for 89 Anatololacerta anatolica individuals. The solid red line is a Gaussian kernel-density estimate of the ΔT distribution. The vertical dashed line marks the thermal equilibrium between Tb and Ts (ΔT = 0), i.e., the thermoconformity reference. The vertical solid line marks the observed average thermal excess of Tb over Ts (ΔT = +1.76 °C). Values to the right of ΔT = 0 correspond to individuals whose Tb exceeds Ts.

Predictors of body temperature: Multiple regression analysis

A multiple linear regression with Tb as the response and Ts, Ta, solar radiation, wind speed, SVL, body mass, and sex as predictors was statistically significant (F(8, 78) = 20.13, p < 0.001), explaining 67.4% of the variance in body temperature (adjusted R2 = 0.640) (Table 1). Among the environmental predictors, Ts (β = 0.261, SE = 0.061, p < 0.001), solar radiation (β = 0.00451, SE = 0.001, p < 0.001), and Ta (β = 0.188, SE = 0.091, p = 0.043) were significant positive predictors of Tb. Wind speed was not significant at the conventional α = 0.05 level (β = 0.151, SE = 0.092, p = 0.106). Body size variables (SVL: β = –0.093, p = 0.288; body mass: β = 0.368, p = 0.231) and sex (female vs. male: β = 1.169, p = 0.076; juvenile vs. male: β = –0.033, p = 0.984) did not contribute significantly to the model once environmental predictors were held constant.

Table 1.

Multiple linear regression results for body temperature (Tb).

Predictor β SE t p
(Intercept) 17.880 3.966 4.507 < .001
Surface temperature 0.261 0.061 4.270 < .001
Air temperature 0.187 0.091 2.056 < 0.05
Wind speed 0.150 0.092 1.634 0.106
Solar radiation 0.0045 0.00110 4.190 < .001
SVL -0.092 0.086 -1.071 0.287
g 0.367 0.304 1.208 0.230
sexF 1.169 0.649 1.800 0.075
sexJuv -0.032 1.666 -0.02 0.984

Variance inflation factors (VIFs) indicated no multicollinearity among the environmental predictors (VIF range: 1.15–2.19). However, SVL and body mass showed elevated VIFs (10.61 and 7.44, respectively), reflecting the expected collinearity between these two morphometric variables; their nonsignificance in the full model should therefore be interpreted cautiously. The environmental predictor set (Ts, Ta, solar radiation, wind) remained unaffected by this collinearity (Suppl. material 2: table SS2).

Parsimonious model and AIC evaluation

A reduced model with Ts and solar radiation alone remained statistically robust (F(2, 86) = 58.00, p < 0.001), accounting for 60.2% of the variance in Tb (Suppl. material 2: table S3). The AICc favored the full model (AICc = 451.50) only slightly over the reduced model (AICc = 453.09), with ΔAICc = 1.59; therefore, both models are similarly supported. Effect plots (Fig. 2) illustrate the consistent positive effect of both Ts and solar radiation on Tb; the effect of wind was weak and uncertain (Suppl. material 2: fig. S1).

Figure 2. 

Effect plots for the significant predictors of body temperature (Tb). Both surface temperature (Ts) and solar radiation show consistent positive relationships with Tb, illustrating their independent contributions to body temperature after controlling for all other predictors in the model.

Sex differences in body temperature and body size

A total of 40 males, 38 females, and 11 juveniles were recorded; sex-specific analyses were restricted to adults. Males and females did not differ significantly in SVL (males: 62.13 ± 7.43 mm; females: 60.23 ± 5.96 mm; Welch’s t = 1.23, df = 72.06, p = 0.223) or body mass (males: 7.01 ± 2.42 g; females: 6.24 ± 1.22 g; t = 1.79, df = 58.37, p = 0.078). Despite the absence of size differences, females maintained significantly higher field body temperatures than males (females: 33.59 ± 5.17 °C; males: 31.44 ± 5.22 °C; Welch’s t = –2.05, df = 75.78, p = 0.044; Cohen’s d = –0.47, 95% CI [–0.91, –0.01]) (Fig. 3).

Figure 3. 

Violin and box plots comparing field body temperature (Tb) between male and female adult Anatololacerta anatolica (n = 40 males, 38 females). Females maintained significantly higher Tb than males (Welch’s t = –2.05, p = 0.044; Cohen’s d = –0.47).

Body size was not a significant predictor of field Tb in adult individuals. Neither SVL (β = 0.131, t = 1.66, p = 0.101, R2 = 0.036) nor body mass (β = 0.239, t = 0.87, p = 0.387, R2 = 0.010) explained a meaningful proportion of variance in Tb, suggesting that thermal inertia does not play a detectable role in shaping field body temperatures in this population.

Correlational patterns

A correlation matrix (Suppl. material 2: fig. S2) confirmed strong positive associations between Tb and Ts (r = 0.703) and between Tb and solar radiation (r = 0.669). Ta showed a moderate correlation (r = 0.502), while wind speed showed a weak correlation (r = 0.113).

Principal component analysis

Principal component analysis (PCA) was used as a descriptive, exploratory tool to summarize the covariance structure of the thermal environment and to visualize how the four significant environmental variables and Tb jointly arrange themselves along orthogonal axes; it is not used here as an inferential test of the effect of environmental variables on Tb. For that, regression and correlation analyses were used.

Two principal components jointly accounted for ≈76% of the total variance. PC1 (55.1% of the variance) represents a combined thermal–radiative gradient, with high loadings from Tb, Ts, solar radiation, and Ta; PC2 (20.9% of the variance) was dominated by wind speed and is essentially orthogonal to PC1 (Table 2, Suppl. material 2: table S4, figs S2, S3).

Table 2.

Contribution distribution of thermal variables to PCA axes (PC1–PC2) (%).

Variable Contribution to PC1 (%) Contribution to PC2 (%)
Tb 27.95 2.01
Ts 27.82 0.45
Ta 18.90 4.87
Wind 0.02 91.96
Solar 25.31 0.71
Total 100.00 100.00

Discussion

The results show that, in the Mount Spil population of Anatololacerta anatolica, Tb is significantly associated with microhabitat-scale thermal variables, with Ts and solar radiation emerging as the strongest predictors. Mean Tb (32.32 ± 4.53 °C) was significantly higher than both mean Ts (30.6 ± 6.97 °C) and mean Ta (28.1 ± 4.04 °C), indicating that the population is an active thermoregulator rather than a passive thermoconformer. The right-skewed distribution of Tb–Ts differences (Fig. 1) is consistent with active microhabitat selection rather than complete thermal equilibrium with the environment, in line with Hertz et al. (1993). Similar patterns—mean Tb statistically higher than Ts and Ta—have been reported in Lacerta trilineata and Lacerta viridis (Vacheva et al. 2025), Phymaturus spp. (Alés et al. 2017; Vicenzi et al. 2017), Leiocephalus schreibersi (Marcellini and Jenssen 1989), and Liolaemus spp. (Valdez Ovallez et al. 2023), where such differences have been attributed to basking and substrate-based heat gain.

The mean field Tb recorded in the present study (32.32 ± 4.53 °C) (Suppl. material 2: table SS1) falls slightly below the preferred body temperature (Tpref ≈ 34.5 °C) reported for this species under laboratory conditions (Oğuz 2020). This discrepancy is not unexpected, as field Tb integrates periods of inactivity, movement, and thermal transition that a laboratory-derived set-point temperature does not capture (Hertz et al. 1993). Similar offsets between field Tb and laboratory Tpref have been documented in other lacertid species (Aguado and Braña 2014; Zamora-Camacho et al. 2016), and their magnitude is commonly used as a proxy for the costs and precision of thermoregulation. To our knowledge, comparable field body temperature data for other Anatololacerta species are not yet available in the published literature, which limits direct intergeneric comparisons within the genus. These results are therefore situated in the broader context of sympatric western Anatolian lacertids (Şahin and Kuyucu 2021), which show broadly similar patterns of microhabitat-driven thermoregulation.

Although the Pearson correlation between Tb and Ts was slightly stronger than that between Tb and solar radiation, A. anatolica behaves primarily as a heliothermic—rather than a purely thigmothermic—species for several complementary reasons. First, mean Tb was significantly higher than mean Ts, so individuals are not simply equilibrating with the substrate, as would be expected of a strict thigmotherm; the Tb–Ts correlation rather reflects the fact that solar-heated substrates and basking individuals share the same radiative forcing. Second, in the multiple regression, both Ts and solar radiation remained significant, independent positive predictors of Tb (Table 1), showing that solar radiation contributes to Tb over and above Ts. Third, sun-exposed substrates are themselves heated largely by incoming solar radiation, so Ts carries a strong radiative signal; the fact that Ts, Ta and solar radiation load together on PC1 (Suppl. material 2: table S4) is consistent with this interpretation. The species is therefore best described as combining heliothermy with a component of thigmothermy, with solar radiation acting as the ultimate heat source (Gans 1982; Şahin and Kuyucu 2021).

Regression analyses further indicate that A. anatolica tracks microhabitat thermal heterogeneity rather than relying on macroclimatic averages. This is consistent with growing evidence that macroclimatic data are often inadequate proxies of the temperatures actually experienced by ectotherms (Bakken and Angilletta Jr 2014; Lembrechts and Lenoir 2020; Nordberg and Schwarzkopf 2019; Sears and Angilletta Jr 2015; Sears et al. 2016). Microhabitat heterogeneity provided by rock outcrops and vegetation on Mount Spil likely buffers individuals against extremes in Ta, in line with the Bogert effect—behavioral thermoregulation that partly decouples Tb from macroclimate and may mask genuine physiological vulnerability (Logan et al. 2019). Several studies have shown that lizards in high-altitude or thermally variable environments can maintain Tb well above Ta by exploiting solar radiation (Brewster and Beaupre 2019; Ortega and Martin-Vallejo 2019; Sunday et al. 2014).

The positive, independent effects of Ts and solar radiation on Tb indicate that individuals exploit local thermal opportunities efficiently. Nevertheless, the relatively small mean Tb–Ts difference (1.76 °C; d = 0.27) suggests that, although the difference is statistically significant, its biological magnitude is modest and the species interacts closely with the thermal properties of its immediate substrate, consistent with the moderate thermoregulatory strategies reported by Bonavita et al. (2025).

The PCA results show that Tb, Ts, solar radiation, and Ta load together on PC1, whereas wind speed loads almost exclusively on an orthogonal PC2. This pattern is consistent with previous work emphasizing the dominant, integrated role of radiative and substrate thermal variables in shaping ectotherm thermal ecology (Crawford et al. 1983; Paranjpe et al. 2014) and also with field studies in which wind is reported to influence operative temperature models but is frequently a secondary determinant of Tb (Almeida-Santos et al. 2015; Bakken 1992; Dzialowski 2005; Şahin and Kuyucu 2021). The loading of wind on an axis independent of the radiative–thermal gradient, together with its nonsignificant effect in the multiple regression, suggests that A. anatolica buffers convective cooling through microhabitat selection—use of rock crevices and the base of vegetation—while managing its thermal balance primarily via solar radiation and substrate temperature. Future studies incorporating Hertz et al.’s (1993) thermoregulatory effectiveness index (E), which requires both laboratory-derived preferred temperature ranges and field-deployed operative temperature models, would allow a formal quantification of thermoregulatory precision in this population.

Females maintained significantly higher field Tb than males, despite the absence of detectable differences in body size. Consistent with this, neither SVL nor body mass predicted field Tb in adult individuals, making a thermal inertia explanation unlikely. Sex-specific differences in field Tb are not uncommon among lacertid lizards and are frequently linked to the elevated thermoregulatory demands of vitellogenesis and gestation, during which females may actively seek warmer microhabitats to accelerate embryonic development (Kechnebbou et al. 2025; Vacheva et al. 2025). The moderate effect size suggests that, while the difference is statistically detectable, individual variation in thermoregulatory behavior remains considerable in both sexes. Full quantification of thermoregulatory effectiveness on Mount Spil will require complementary laboratory and operative-temperature data, which are identified as a priority for future work.

Conclusion

The Mount Spil population of Anatololacerta anatolica behaves as an active thermoregulator, maintaining Tb (32.32 ± 4.53 °C) significantly above both Ts and Ta. Multiple regression identified Ts and solar radiation as the only independent, significant positive predictors of Tb, while wind speed was statistically decoupled from the radiative–thermal system. The species combines heliothermy with a component of thigmothermy and buffers convective cooling through microhabitat selection, consistent with the Bogert effect. Females maintained significantly higher field Tb than males, independent of body size, suggesting sex-specific differences in thermoregulatory behavior or microhabitat use that warrant further investigation. These results highlight the importance of microhabitat-scale thermal heterogeneity and thermal refugia for the persistence of A. anatolica and emphasize that climate-change assessments based solely on macroclimatic air temperature are likely to underestimate its vulnerability. Estimation of preferred and operative temperatures in future studies will allow a formal quantification of thermoregulatory effectiveness and refine projections under climate change.

Acknowledgements

The authors thank Mr. Halil Ernalçacı, the Director of Spil Mountain National Park, and the personnel of the 4th Regional Directorate of Nature Conservation and National Parks (Ministry of Agriculture and Forestry) for their support during our fieldwork on Mount Spil and Assoc. Prof. Dr. Süleyman İlhan (Department of Biology, Manisa Celal Bayar University) for his support and contributions during the preparation of this manuscript. This work was supported by the Manisa Celal Bayar University Scientific Research Coordination Unit (Project ID: 3043, Project Code: 2025–053). This article is based on Çetin ÇELİK’s doctoral dissertation titled "The Thermal Ecology of the Anatolian Rock Lizard, Anatololacerta anatolica (WERNER, 1900) (Reptilia: Sauria: Lacertidae), Living on Mount Manisa (Spil)".

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Additional information

Conflict of interest

The authors have declared that no competing interests exist.

Ethical statement

No ethical statement was reported.

Artificial Intelligence (AI) use

Regarding the use of AI in the preparation of this manuscript, the authors declare the following:

During the preparation of this work, the author(s) utilized Gemini for writing and language editing purposes. Subsequent to using this tool/service, the author(s) reviewed and edited the content as necessary and assume full responsibility for the content of the publication.

Funding

This work was supported by the Manisa Celal Bayar University Rectorate Scientific Research Projects Coordination Unit.

Author contributions

Conceptualization: MA, MKŞ. Data curation: ÇÇ, MA. Formal analysis: ÇÇ, MKŞ. Investigation: MA, ÇÇ. Methodology: MA, ÇÇ. Project administration: MA. Resources: ÇÇ. Software: MKŞ, ÇÇ. Supervision: MA, MKŞ. Validation: ÇÇ, MA. Visualization: MKŞ, ÇÇ. Writing - original draft: ÇÇ. Writing - review and editing: MKŞ, MA.

Author ORCIDs

Ç. Çelik https://orcid.org/0000-0003-4116-2383

M. Afsar https://orcid.org/0000-0003-3210-8262

M.K. Şahin https://orcid.org/0000-0003-0834-5081

Data availability

All of the data that support the findings of this study are available in the main text or Supplementary Information.

Supplementary materials

Supplementary material 1 

Revised field measurements

Çetin Çelik, Mehmet Kürşat Şahin

Data type: csv

Explanation note: Field measurements including microhabitat surface temperature (Ts), air temperature (Ta), wind speed, solar radiation, dorsal laser temperature (Tb_d), and probe cloacal temperature (Tb_p), as well as SVL, body mass, and sex data.

This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (13.63 kb)
Supplementary material 2 

Additional tables and figures

Çetin Çelik, Mehmet Kürşat Şahin

Data type: docx

Explanation note: table SS1. Descriptive statistics for body temperature (Tb) and environmental variables for Anatololacerta anatolica. table SS2. Multiple linear regression diagnostics: variance inflation factor (VIF) values. table S3. Simplified multiple linear regression results for body temperature (Tb). table S4. PCA eigenvalues and explained variance. fig. S1. Effect of wind speed (m/s) on body temperature (Tb) (°C). fig. S2. Principal component analysis (PCA) biplot of environmental variables and Tb. fig. S3. Correlation matrix: Tb and environmental variables.

This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (56.74 kb)
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