Research Article |
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Corresponding author: Çetin Çelik ( cetincelik78@gmail.com ) Academic editor: Lukas Landler
© 2026 Çetin Çelik, Murat Afsar, Mehmet Kürşat Şahin.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Çelik Ç, Afsar M, Şahin MK (2026) Microhabitat-scale thermal determinants of body temperature in Anatololacerta anatolica from Mount Spil, Western Anatolia. Herpetozoa 39: 281-290. https://doi.org/10.3897/herpetozoa.39.e188838
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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.
Anatolian rock lizard, climate sensitivity, ectothermic organism, solar radiation, surface temperature, thermal ecology, wind speed
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 (
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 (
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 (
The Anatolian rock lizard, Anatololacerta anatolica (
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.
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 (
According to the Köppen-Geiger classification, the region experiences a Csa-type Mediterranean climate, marked by hot, dry summers and mild, wet winters (
The focal organism used in this study is Anatololacerta anatolica (
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 (
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 (
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) (
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 (
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.
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
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.
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.
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
| 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
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
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.
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.
A correlation matrix (Suppl. material
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
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.
The mean field Tb recorded in the present study (32.32 ± 4.53 °C) (Suppl. material
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
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 (
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
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 (
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 (
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.
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)".
The authors have declared that no competing interests exist.
No ethical statement was reported.
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.
This work was supported by the Manisa Celal Bayar University Rectorate Scientific Research Projects Coordination Unit.
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.
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
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Revised field measurements
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.
Additional tables and figures
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.