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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">90</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:4EBD0208-8328-5D69-8C44-EC50939C0967</journal-id>
      <journal-id journal-id-type="aggregator">urn:lsid:zoobank.org:pub:52E200AF-408A-423E-8797-5BFC4FDE0F99</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Herpetozoa</journal-title>
        <abbrev-journal-title xml:lang="en">Herpetozoa</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1013-4425</issn>
      <issn pub-type="epub">2682-955X</issn>
      <publisher>
        <publisher-name>Pensoft Publishers</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/herpetozoa.39.e188838</article-id>
      <article-id pub-id-type="publisher-id">188838</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="biological_taxon">
          <subject>Lacertidae</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Biology</subject>
          <subject> Ecology and Behaviour</subject>
          <subject>Reptiles</subject>
          <subject>Zoology &amp; Animal Biology</subject>
        </subj-group>
        <subj-group subj-group-type="geological_era">
          <subject>Cenozoic</subject>
          <subject>Mesozoic</subject>
        </subj-group>
        <subj-group subj-group-type="geographical_area">
          <subject>Turkey</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Microhabitat-scale thermal determinants of body temperature in <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> from Mount Spil, Western Anatolia</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Çelik</surname>
            <given-names>Çetin</given-names>
          </name>
          <email xlink:type="simple">cetincelik78@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0003-4116-2383</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <xref ref-type="aff" rid="A2">2</xref>
          <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
          <role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
          <role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
          <role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
          <role content-type="http://credit.niso.org/contributor-roles/resources/">Resources</role>
          <role content-type="http://credit.niso.org/contributor-roles/software/">Software</role>
          <role content-type="http://credit.niso.org/contributor-roles/validation/">Validation</role>
          <role content-type="http://credit.niso.org/contributor-roles/visualization/">Visualization</role>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Afsar</surname>
            <given-names>Murat</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-3210-8262</uri>
          <xref ref-type="aff" rid="A3">3</xref>
          <role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
          <role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
          <role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
          <role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
          <role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
          <role content-type="http://credit.niso.org/contributor-roles/validation/">Validation</role>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Şahin</surname>
            <given-names>Mehmet Kürşat</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-0834-5081</uri>
          <xref ref-type="aff" rid="A4">4</xref>
          <xref ref-type="aff" rid="A5">5</xref>
          <role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
          <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing - review and editing</role>
          <role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
          <role content-type="http://credit.niso.org/contributor-roles/software/">Software</role>
          <role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
          <role content-type="http://credit.niso.org/contributor-roles/visualization/">Visualization</role>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Manisa Celal Bayar University Graduate School, Manisa, Türkiye</addr-line>
        <institution>Manisa Celal Bayar University Graduate School</institution>
        <addr-line content-type="city">Manisa</addr-line>
        <country>Türkiye</country>
        <uri content-type="ror">https://ror.org/053f2w588</uri>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Akhisar Bilim ve Sanat Merkezi, Manisa, Türkiye</addr-line>
        <institution>Akhisar Bilim ve Sanat Merkezi</institution>
        <addr-line content-type="city">Manisa</addr-line>
        <country>Türkiye</country>
</aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Department of Biology, Faculty of Science, Manisa Celal Bayar Üniversitesi, Manisa, Türkiye</addr-line>
        <institution>Department of Biology, Faculty of Science, Manisa Celal Bayar Üniversitesi</institution>
        <addr-line content-type="city">Manisa</addr-line>
        <country>Türkiye</country>
        <uri content-type="ror">https://ror.org/053f2w588</uri>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Department of Biology, Faculty of Science, Hacettepe University, Ankara, Türkiye</addr-line>
        <institution>Department of Biology, Faculty of Science, Hacettepe University</institution>
        <addr-line content-type="city">Ankara</addr-line>
        <country>Türkiye</country>
        <uri content-type="ror">https://ror.org/04kwvgz42</uri>
      </aff>
      <aff id="A5">
        <label>5</label>
        <addr-line content-type="verbatim">Hacettepe University Biological Diversity Research and Application Center, Ankara, Türkiye</addr-line>
        <institution>Hacettepe University Biological Diversity Research and Application Center</institution>
        <addr-line content-type="city">Ankara</addr-line>
        <country>Türkiye</country>
        <uri content-type="ror">https://ror.org/04kwvgz42</uri>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Çetin Çelik (<email xlink:type="simple">cetincelik78@gmail.com</email>)</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: Lukas Landler</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>13</day>
        <month>07</month>
        <year>2026</year>
      </pub-date>
      <volume>39</volume>
      <fpage>281</fpage>
      <lpage>290</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/7A1BAFB2-FE29-52D5-89CC-8F1385897C91">7A1BAFB2-FE29-52D5-89CC-8F1385897C91</uri>
      <uri content-type="zoobank" xlink:href="https://zoobank.org/1F9D2C57-0EF5-47EF-88C8-301AAB920B84">1F9D2C57-0EF5-47EF-88C8-301AAB920B84</uri>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>02</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>03</day>
          <month>07</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Çetin Çelik, Murat Afsar, Mehmet Kürşat Şahin</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>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.</license-p>
        </license>
      </permissions>
      <self-uri content-type="zoobank" xlink:type="simple">https://zoobank.org/1F9D2C57-0EF5-47EF-88C8-301AAB920B84</self-uri>
      <abstract>
        <label>Abstract</label>
        <p>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 (T<sub>b</sub>) of the <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> population on Mount Spil (Manisa), Western Anatolia, and core environmental variables at the microhabitat level, including surface temperature (T<sub>s</sub>), air temperature (T<sub>a</sub>), 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.</p>
        <p>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 T<sub>s</sub> and solar radiation are the strongest positive predictors of T<sub>b</sub>. Principal component analysis (<abbrev xlink:title="Principal component analysis">PCA</abbrev>) results, explaining approximately 76% of the total variance, determined that T<sub>b</sub>, T<sub>s</sub>, and solar radiation clustered on the primary axis (<abbrev xlink:title="primary axis">PC1</abbrev>), while wind speed was situated on an independent axis (<abbrev xlink:title="independent axis">PC2</abbrev>) that is statistically decoupled from this radiative thermal system.</p>
        <p>The findings indicate that <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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.</p>
      </abstract>
      <kwd-group>
        <label>Key Words</label>
        <kwd>Anatolian rock lizard</kwd>
        <kwd>climate sensitivity</kwd>
        <kwd>ectothermic organism</kwd>
        <kwd>solar radiation</kwd>
        <kwd>surface temperature</kwd>
        <kwd>thermal ecology</kwd>
        <kwd>wind speed</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>Manisa Celal Bayar University Rectorate Scientific Research Projects Coordination Unit</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec1">
      <title>Introduction</title>
      <p>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 (T<sub>b</sub>) required to sustain their physiological, ecological, and behavioral processes (<xref ref-type="bibr" rid="B59">Vitt and Caldwell 2014</xref>; <xref ref-type="bibr" rid="B43">Reppa et al. 2023</xref>). 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 T<sub>b</sub> within a narrower preferred range by exploiting spatial and temporal thermal heterogeneity through behavioral and, to a lesser extent, physiological mechanisms (<xref ref-type="bibr" rid="B23">Hertz et al. 1993</xref>; <xref ref-type="bibr" rid="B6">Bakken and Angilletta Jr 2014</xref>). Distinguishing between these strategies is fundamental to understanding the thermal ecology of a species and its potential vulnerability to climate change.</p>
      <p>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 (<xref ref-type="bibr" rid="B21">Gans 1982</xref>; <xref ref-type="bibr" rid="B59">Vitt and Caldwell 2014</xref>). Substrate temperature (T<sub>s</sub>, also denoted T<sub>substrate</sub>) is the temperature of the soil, rock, sand, or leaf litter with which the lizard is in direct contact and transfers heat by conduction (<xref ref-type="bibr" rid="B5">Bakken 1992</xref>; <xref ref-type="bibr" rid="B15">Crawford et al. 1983</xref>; <xref ref-type="bibr" rid="B35">Menezes and Rocha 2011</xref>; <xref ref-type="bibr" rid="B9">Bonavita et al. 2025</xref>). Air temperature (T<sub>a</sub>) is the temperature of the surrounding medium measured outside the animal’s thermal and hydrodynamic boundary layers and influences T<sub>b</sub> mainly through convective exchange (<xref ref-type="bibr" rid="B21">Gans 1982</xref>; <xref ref-type="bibr" rid="B25">IUPSThermalCommission 2001</xref>; <xref ref-type="bibr" rid="B23">Hertz et al. 1993</xref>). Lizards that raise T<sub>b</sub> 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 (<xref ref-type="bibr" rid="B21">Gans 1982</xref>; <xref ref-type="bibr" rid="B46">Şahin and Kuyucu 2021</xref>; <xref ref-type="bibr" rid="B17">Dıblan et al. 2026</xref>). Many species, in fact, combine both strategies, and wind can further modify heat balance by enhancing convective heat loss when T<sub>b</sub> exceeds T<sub>a</sub> (<xref ref-type="bibr" rid="B57">Villavicencio et al. 2007</xref>; <xref ref-type="bibr" rid="B58">Virens and Cree 2022</xref>).</p>
      <p>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 (<xref ref-type="bibr" rid="B6">Bakken and Angilletta Jr 2014</xref>; <xref ref-type="bibr" rid="B30">Lembrechts and Lenoir 2020</xref>; <xref ref-type="bibr" rid="B48">Sears and Angilletta Jr 2015</xref>; <xref ref-type="bibr" rid="B49">Sears et al. 2016</xref>). Vegetation cover, rock crevices, orientation, slope, and substrate type create fine-scale thermal mosaics that provide opportunities for behavioral thermoregulation (<xref ref-type="bibr" rid="B1">Adolph and Porter 1993</xref>; <xref ref-type="bibr" rid="B16">Díaz 1997</xref>; <xref ref-type="bibr" rid="B31">Li et al. 2017</xref>). By selecting favorable microhabitats, lizards can maintain T<sub>b</sub> 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 (<xref ref-type="bibr" rid="B32">Logan et al. 2019</xref>). Assessing the thermal biology of ectotherms therefore requires measurements at the microhabitat scale, integrating T<sub>s</sub>, T<sub>a</sub>, solar radiation, and wind.</p>
      <p>The Anatolian rock lizard, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> (<xref ref-type="bibr" rid="B61">Werner 1902</xref>), 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 (<xref ref-type="bibr" rid="B26">Karakasi et al. 2021</xref>; <xref ref-type="bibr" rid="B47">Şahin et al. 2022</xref>). Two subspecies are currently recognized, of which <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">a.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="subspecies" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> occurs in northwestern Anatolia, including Mount Spil (<xref ref-type="bibr" rid="B37">Oğuz 2020</xref>). 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 (<xref ref-type="bibr" rid="B37">Oğuz 2020</xref>). Previous work has reported a preferred T<sub>b</sub> of approximately 34.5 °C in adults (<xref ref-type="bibr" rid="B37">Oğuz 2020</xref>), 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 (<xref ref-type="bibr" rid="B10">Bozkurt 2022</xref>; <xref ref-type="bibr" rid="B37">Oğuz 2020</xref>; <xref ref-type="bibr" rid="B47">Şahin et al. 2022</xref>). Understanding whether <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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.</p>
      <p>The primary objective of this study is to quantify the relationship between T<sub>b</sub> and the microhabitat-scale thermal variables T<sub>s</sub>, T<sub>a</sub>, solar radiation, and wind speed in <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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 T<sub>b</sub>. 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.</p>
    </sec>
    <sec sec-type="materials|methods" id="sec2">
      <title>Material and methods</title>
      <sec sec-type="Study area" id="sec3">
        <title>Study area</title>
        <p>This study was conducted on Mount Spil (<named-content content-type="dwc:verbatimCoordinates">38.52°N, 27.42°E</named-content>), 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 (<xref ref-type="bibr" rid="B13">Çağlar 2024</xref>). Mount Spil lies within the Mediterranean Phytogeographical Region; vegetation consists primarily of Mediterranean maquis (<italic>Quercetum coccifera</italic>), forests (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pinus">Pinus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="brutia">brutia</tp:taxon-name-part></tp:taxon-name></italic> and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Pinus">Pinus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="nigra">nigra</tp:taxon-name-part></tp:taxon-name></italic>), and transitional mountain steppe zones (<xref ref-type="bibr" rid="B19">Duman 1985</xref>; <xref ref-type="bibr" rid="B29">Kumlutaş et al. 2001</xref>; <xref ref-type="bibr" rid="B50">Semenderoğlu et al. 2020</xref>; <xref ref-type="bibr" rid="B13">Çağlar 2024</xref>).</p>
        <p>According to the Köppen-Geiger classification, the region experiences a Csa-type Mediterranean climate, marked by hot, dry summers and mild, wet winters (<xref ref-type="bibr" rid="B42">Peel et al. 2007</xref>). 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 (<xref ref-type="bibr" rid="B22">General Directorate of Meteorology of the Republic of Türkiye 2025</xref>).</p>
      </sec>
      <sec sec-type="Focal species" id="sec4">
        <title>Focal species</title>
        <p>The focal organism used in this study is <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> (<xref ref-type="bibr" rid="B61">Werner 1902</xref>), a diurnal lacertid endemic to western Anatolia. On Mount Spil, the populations belong to the nominotypical subspecies <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">a.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="subspecies" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic>, which is distributed throughout northwestern Anatolia (<xref ref-type="bibr" rid="B37">Oğuz 2020</xref>; <xref ref-type="bibr" rid="B47">Şahin et al. 2022</xref>).</p>
        <p>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 (<xref ref-type="bibr" rid="B12">Budak and Göçmen 2008</xref>). Individuals with snout–vent length (<abbrev xlink:title="snout–vent length">SVL</abbrev>) ≥ 55 mm were classified as adults, following skeletochronological data reported for this species by <xref ref-type="bibr" rid="B64">Yakin and Tok (2015)</xref>; smaller individuals were recorded as juveniles and excluded from sex-specific analyses. All animals were measured (<abbrev xlink:title="snout–vent length">SVL</abbrev>; ±0.01 mm) and weighed (±0.01 g) in the field immediately after body temperature recording and released at the point of capture.</p>
      </sec>
      <sec sec-type="Field measurements" id="sec5">
        <title>Field measurements</title>
        <p>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 (<xref ref-type="bibr" rid="B53">Taylor et al. 2021</xref>), using an infrared thermometer equipped with a fast-response J-type thermocouple (Fluke 561™ Infrared Thermometer; 0.1 °C resolution) to measure body temperature (T<sub>b</sub>) via cloacal insertion (1–10 mm depth), and the reading was recorded within 10 s (<xref ref-type="bibr" rid="B14">Carretero 2012</xref>; <xref ref-type="bibr" rid="B7">Barroso et al. 2016</xref>; <xref ref-type="bibr" rid="B53">Taylor et al. 2021</xref>). 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 (<xref ref-type="bibr" rid="B21">Gans 1982</xref>; <xref ref-type="bibr" rid="B14">Carretero 2012</xref>; <xref ref-type="bibr" rid="B7">Barroso et al. 2016</xref>).</p>
        <p>The surface temperature (T<sub>s</sub>) of the microhabitat at the exact point of capture was measured using the same infrared thermometer (Fluke 561™; 0.1 °C resolution) (<xref ref-type="bibr" rid="B7">Barroso et al. 2016</xref>). To ensure accuracy, the device was pre-calibrated to account for factors such as measurement distance and the emissivity of the surface (<xref ref-type="bibr" rid="B14">Carretero 2012</xref>; <xref ref-type="bibr" rid="B53">Taylor et al. 2021</xref>). Air temperature (T<sub>a</sub>) was measured 1 cm above the ground with a digital thermometer integrated with a J-type thermocouple (Uni-T UT-320DTM Mini) (<xref ref-type="bibr" rid="B33">Maia-Carneiro and Rocha 2013</xref>; <xref ref-type="bibr" rid="B40">Ortega et al. 2019</xref>; <xref ref-type="bibr" rid="B51">Stellatelli et al. 2018</xref>); the sensor and probe were kept under shaded conditions to avoid direct exposure to solar radiation (<xref ref-type="bibr" rid="B39">Ortega et al. 2016</xref>; <xref ref-type="bibr" rid="B45">Rivera-Rea et al. 2023</xref>). Solar radiation was recorded using an Apogee MP-200™ pyranometer (<xref ref-type="bibr" rid="B15">Crawford et al. 1983</xref>), and wind speed was measured with a Testo 410™ anemometer (<xref ref-type="bibr" rid="B18">Dodd 2016</xref>) at the height corresponding to the lizard’s position (1–10 cm above ground) to ensure ecologically relevant data (<xref ref-type="bibr" rid="B15">Crawford et al. 1983</xref>).</p>
      </sec>
      <sec sec-type="Statistical analysis" id="sec6">
        <title>Statistical analysis</title>
        <p>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 (<xref ref-type="bibr" rid="B8">Bates et al. 2015</xref>; <xref ref-type="bibr" rid="B24">Husson et al. 2016</xref>; <xref ref-type="bibr" rid="B27">Kassambara and Mundt 2016</xref>; <xref ref-type="bibr" rid="B44">Ripley et al. 2013</xref>; <xref ref-type="bibr" rid="B60">Wei and Simko 2017</xref>; <xref ref-type="bibr" rid="B62">Wickham 2011</xref>, <xref ref-type="bibr" rid="B63">2016</xref>). Of the 125 individuals sampled in the field, 89 had complete records for T<sub>b</sub> and all four microhabitat variables and were retained for statistical analysis.</p>
        <p>The following analyses were carried out, each with a specific objective: (i) paired-sample <italic>t</italic>-tests were used to test whether T<sub>b</sub> differed from T<sub>s</sub> and from T<sub>a</sub> in the same individuals, i.e., whether the population behaves as an active thermoregulator rather than a passive thermoconformer. (ii) Cohen’s <italic>d</italic> was computed as an effect size to quantify the biological magnitude of the T<sub>b</sub>–T<sub>s</sub> and T<sub>b</sub>–T<sub>a</sub> differences, complementing the <italic>p</italic>-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 T<sub>b</sub> as the response and T<sub>s</sub>, T<sub>a</sub>, solar radiation, and wind speed as simultaneous predictors was used to identify which environmental variables have a unique, independent effect on T<sub>b</sub> once the others are held constant; the standardized regression coefficients (<italic>β</italic>) provide the direction and magnitude of each variable’s influence on T<sub>b</sub>. Variance inflation factors (<abbrev xlink:title="Variance inflation factors">VIFs</abbrev>) were computed to check for multicollinearity (VIF &lt; 5 considered acceptable). (v) A reduced (parsimonious) model containing only the two <italic>a priori</italic> strongest predictors (T<sub>s</sub> and solar radiation) was compared with the full model using the second-order Akaike information criterion (<abbrev xlink:title="Akaike information criterion">AICc</abbrev>); Δ<abbrev xlink:title="Akaike information criterion">AICc</abbrev> &lt; 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 T<sub>b</sub> after controlling for the others. (vii) Principal component analysis (<abbrev xlink:title="Principal component analysis">PCA</abbrev>) on environmental variables plus T<sub>b</sub> (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 T<sub>b</sub> 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 T<sub>b</sub>, whereas <abbrev xlink:title="Principal component analysis">PCA</abbrev> is used only as an exploratory description of the overall covariance pattern. To assess potential sex differences in thermal parameters, Welch’s two-sample <italic>t</italic>-tests were applied to compare mean T<sub>b</sub>, <abbrev xlink:title="snout–vent length">SVL</abbrev>, and body mass between males and females, with effect sizes quantified using Cohen’s <italic>d</italic>. To evaluate whether body size influences field T<sub>b</sub>—as would be expected if thermal inertia were a significant factor—simple linear regression was performed with <abbrev xlink:title="snout–vent length">SVL</abbrev> and body mass as predictors of T<sub>b</sub>, restricted to adult individuals.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="sec7">
      <title>Results</title>
      <sec sec-type="Overview of thermal measurements" id="sec8">
        <title>Overview of thermal measurements</title>
        <p>Between April and October 2025, 125 field observations were collected from <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> on Mount Spil, Manisa. Measurements included cloacal body temperature (T<sub>b</sub>), surface temperature (T<sub>s</sub>), air temperature (T<sub>a</sub>), solar radiation, and wind speed (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table SS1). Among these, 89 T<sub>b</sub> 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 T<sub>s</sub> (30.6 ± 6.97 °C; paired <italic>t</italic>-test: <italic>t</italic>(88) = 3.34, <italic>p</italic> = 0.001) and mean T<sub>a</sub> (28.10 ± 4.04 °C).</p>
      </sec>
      <sec sec-type="Body temperature vs. surface temperature" id="sec9">
        <title>Body temperature vs. surface temperature</title>
        <p>A paired <italic>t</italic>-test showed that <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> maintained T<sub>b</sub> significantly higher than T<sub>s</sub> (<italic>t</italic>(88) = 3.34, <italic>p</italic> = 0.001; mean difference = 1.76 °C, 95% CI [0.71, 2.81]), although the effect size was small (Cohen’s <italic>d</italic> = 0.27). The distribution of T<sub>b</sub>–T<sub>s</sub> differences (Fig. <xref ref-type="fig" rid="F1">1</xref>) was right-skewed, with most individuals maintaining T<sub>b</sub> slightly above T<sub>s</sub>.</p>
        <fig id="F1">
          <object-id content-type="doi">10.3897/herpetozoa.39.e188838.figure1</object-id>
          <object-id content-type="arpha">58E6416D-BBAB-515D-A4AF-B477ECFC407C</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Frequency distribution of the body-temperature excess over surface temperature (ΔT = T<sub>b</sub> – T<sub>s</sub>, °C) for 89 <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> individuals. The solid red line is a Gaussian kernel-density estimate of the ΔT distribution. The vertical dashed line marks the thermal equilibrium between T<sub>b</sub> and T<sub>s</sub> (ΔT = 0), i.e., the thermoconformity reference. The vertical solid line marks the observed average thermal excess of T<sub>b</sub> over T<sub>s</sub> (ΔT = +1.76 °C). Values to the right of ΔT = 0 correspond to individuals whose T<sub>b</sub> exceeds T<sub>s</sub>.</p>
          </caption>
          <graphic xlink:href="herpetozoa-39-281-g001.jpg" id="oo_1714944.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1714944</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Predictors of body temperature: Multiple regression analysis" id="sec10">
        <title>Predictors of body temperature: Multiple regression analysis</title>
        <p>A multiple linear regression with T<sub>b</sub> as the response and T<sub>s</sub>, T<sub>a</sub>, solar radiation, wind speed, <abbrev xlink:title="snout–vent length">SVL</abbrev>, body mass, and sex as predictors was statistically significant (<italic>F</italic>(8, 78) = 20.13, <italic>p</italic> &lt; 0.001), explaining 67.4% of the variance in body temperature (adjusted <italic>R<sup>2</sup></italic> = 0.640) (Table <xref ref-type="table" rid="T1">1</xref>). Among the environmental predictors, T<sub>s</sub> (<italic>β</italic> = 0.261, SE = 0.061, <italic>p</italic> &lt; 0.001), solar radiation (<italic>β</italic> = 0.00451, SE = 0.001, <italic>p</italic> &lt; 0.001), and T<sub>a</sub> (<italic>β</italic> = 0.188, SE = 0.091, <italic>p</italic> = 0.043) were significant positive predictors of T<sub>b</sub>. Wind speed was not significant at the conventional α = 0.05 level (<italic>β</italic> = 0.151, SE = 0.092, <italic>p</italic> = 0.106). Body size variables (<abbrev xlink:title="snout–vent length">SVL</abbrev>: <italic>β</italic> = –0.093, <italic>p</italic> = 0.288; body mass: <italic>β</italic> = 0.368, <italic>p</italic> = 0.231) and sex (female vs. male: <italic>β</italic> = 1.169, <italic>p</italic> = 0.076; juvenile vs. male: <italic>β</italic> = –0.033, <italic>p</italic> = 0.984) did not contribute significantly to the model once environmental predictors were held constant.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Multiple linear regression results for body temperature (T<sub>b</sub>).</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">
                  <bold>Predictor</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>
                    <italic>β</italic>
                  </bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>SE</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>
                    <italic>t</italic>
                  </bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>
                    <italic>p</italic>
                  </bold>
                </th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">(Intercept)</td>
                <td rowspan="1" colspan="1">17.880</td>
                <td rowspan="1" colspan="1">3.966</td>
                <td rowspan="1" colspan="1">4.507</td>
                <td rowspan="1" colspan="1">
                  <bold>&lt; .001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Surface temperature</td>
                <td rowspan="1" colspan="1">0.261</td>
                <td rowspan="1" colspan="1">0.061</td>
                <td rowspan="1" colspan="1">4.270</td>
                <td rowspan="1" colspan="1">
                  <bold>&lt; .001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Air temperature</td>
                <td rowspan="1" colspan="1">0.187</td>
                <td rowspan="1" colspan="1">0.091</td>
                <td rowspan="1" colspan="1">2.056</td>
                <td rowspan="1" colspan="1">
                  <bold>&lt; 0.05</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Wind speed</td>
                <td rowspan="1" colspan="1">0.150</td>
                <td rowspan="1" colspan="1">0.092</td>
                <td rowspan="1" colspan="1">1.634</td>
                <td rowspan="1" colspan="1">0.106</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Solar radiation</td>
                <td rowspan="1" colspan="1">0.0045</td>
                <td rowspan="1" colspan="1">0.00110</td>
                <td rowspan="1" colspan="1">4.190</td>
                <td rowspan="1" colspan="1">
                  <bold>&lt; .001</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <abbrev xlink:title="snout–vent length">SVL</abbrev>
                </td>
                <td rowspan="1" colspan="1">-0.092</td>
                <td rowspan="1" colspan="1">0.086</td>
                <td rowspan="1" colspan="1">-1.071</td>
                <td rowspan="1" colspan="1">0.287</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">g</td>
                <td rowspan="1" colspan="1">0.367</td>
                <td rowspan="1" colspan="1">0.304</td>
                <td rowspan="1" colspan="1">1.208</td>
                <td rowspan="1" colspan="1">0.230</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">sexF</td>
                <td rowspan="1" colspan="1">1.169</td>
                <td rowspan="1" colspan="1">0.649</td>
                <td rowspan="1" colspan="1">1.800</td>
                <td rowspan="1" colspan="1">0.075</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">sexJuv</td>
                <td rowspan="1" colspan="1">-0.032</td>
                <td rowspan="1" colspan="1">1.666</td>
                <td rowspan="1" colspan="1">-0.02</td>
                <td rowspan="1" colspan="1">0.984</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Note. Model fit: <italic>R<sup>2</sup></italic> = 0.673, adjusted <italic>R<sup>2</sup></italic> = 0.640; <italic>F</italic>(8, 78) = 20.13, <italic>p</italic> &lt; 0.001; residual standard error = 2.697. Bold <italic>p</italic>-values indicate statistical significance at α = 0.05.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Variance inflation factors (<abbrev xlink:title="Variance inflation factors">VIFs</abbrev>) indicated no multicollinearity among the environmental predictors (VIF range: 1.15–2.19). However, <abbrev xlink:title="snout–vent length">SVL</abbrev> and body mass showed elevated <abbrev xlink:title="Variance inflation factors">VIFs</abbrev> (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 (T<sub>s</sub>, T<sub>a</sub>, solar radiation, wind) remained unaffected by this collinearity (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table SS2).</p>
      </sec>
      <sec sec-type="Parsimonious model and AIC evaluation" id="sec11">
        <title>Parsimonious model and AIC evaluation</title>
        <p>A reduced model with T<sub>s</sub> and solar radiation alone remained statistically robust (<italic>F</italic>(2, 86) = 58.00, <italic>p</italic> &lt; 0.001), accounting for 60.2% of the variance in T<sub>b</sub> (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table S3). The <abbrev xlink:title="Akaike information criterion">AICc</abbrev> favored the full model (<abbrev xlink:title="Akaike information criterion">AICc</abbrev> = 451.50) only slightly over the reduced model (<abbrev xlink:title="Akaike information criterion">AICc</abbrev> = 453.09), with Δ<abbrev xlink:title="Akaike information criterion">AICc</abbrev> = 1.59; therefore, both models are similarly supported. Effect plots (Fig. <xref ref-type="fig" rid="F2">2</xref>) illustrate the consistent positive effect of both T<sub>s</sub> and solar radiation on T<sub>b</sub>; the effect of wind was weak and uncertain (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: fig. S1).</p>
        <fig id="F2">
          <object-id content-type="doi">10.3897/herpetozoa.39.e188838.figure2</object-id>
          <object-id content-type="arpha">3926011E-D6B6-56F7-9CC3-2A3BED13B56B</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Effect plots for the significant predictors of body temperature (T<sub>b</sub>). Both surface temperature (T<sub>s</sub>) and solar radiation show consistent positive relationships with T<sub>b</sub>, illustrating their independent contributions to body temperature after controlling for all other predictors in the model.</p>
          </caption>
          <graphic xlink:href="herpetozoa-39-281-g002.jpg" id="oo_1714945.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1714945</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="Sex differences in body temperature and body size" id="sec12">
        <title>Sex differences in body temperature and body size</title>
        <p>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 <abbrev xlink:title="snout–vent length">SVL</abbrev> (males: 62.13 ± 7.43 mm; females: 60.23 ± 5.96 mm; Welch’s <italic>t</italic> = 1.23, df = 72.06, <italic>p</italic> = 0.223) or body mass (males: 7.01 ± 2.42 g; females: 6.24 ± 1.22 g; <italic>t</italic> = 1.79, df = 58.37, <italic>p</italic> = 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 <italic>t</italic> = –2.05, df = 75.78, <italic>p</italic> = 0.044; Cohen’s <italic>d</italic> = –0.47, 95% CI [–0.91, –0.01]) (Fig. <xref ref-type="fig" rid="F3">3</xref>).</p>
        <fig id="F3">
          <object-id content-type="doi">10.3897/herpetozoa.39.e188838.figure3</object-id>
          <object-id content-type="arpha">4CBD0F19-8019-5CB1-9753-2EF4C9A6FE98</object-id>
          <label>Figure 3.</label>
          <caption>
            <p>Violin and box plots comparing field body temperature (T<sub>b</sub>) between male and female adult <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> (<italic>n</italic> = 40 males, 38 females). Females maintained significantly higher T<sub>b</sub> than males (Welch’s <italic>t</italic> = –2.05, <italic>p</italic> = 0.044; Cohen’s <italic>d</italic> = –0.47).</p>
          </caption>
          <graphic xlink:href="herpetozoa-39-281-g003.jpg" id="oo_1714946.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1714946</uri>
          </graphic>
        </fig>
        <p>Body size was not a significant predictor of field T<sub>b</sub> in adult individuals. Neither <abbrev xlink:title="snout–vent length">SVL</abbrev> (<italic>β</italic> = 0.131, <italic>t</italic> = 1.66, <italic>p</italic> = 0.101, <italic>R<sup>2</sup></italic> = 0.036) nor body mass (<italic>β</italic> = 0.239, <italic>t</italic> = 0.87, <italic>p</italic> = 0.387, <italic>R<sup>2</sup></italic> = 0.010) explained a meaningful proportion of variance in T<sub>b</sub>, suggesting that thermal inertia does not play a detectable role in shaping field body temperatures in this population.</p>
      </sec>
      <sec sec-type="Correlational patterns" id="sec13">
        <title>Correlational patterns</title>
        <p>A correlation matrix (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: fig. S2) confirmed strong positive associations between T<sub>b</sub> and T<sub>s</sub> (<italic>r</italic> = 0.703) and between T<sub>b</sub> and solar radiation (<italic>r</italic> = 0.669). T<sub>a</sub> showed a moderate correlation (<italic>r</italic> = 0.502), while wind speed showed a weak correlation (<italic>r</italic> = 0.113).</p>
      </sec>
      <sec sec-type="Principal component analysis" id="sec14">
        <title>Principal component analysis</title>
        <p>Principal component analysis (<abbrev xlink:title="Principal component analysis">PCA</abbrev>) 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 T<sub>b</sub> jointly arrange themselves along orthogonal axes; it is not used here as an inferential test of the effect of environmental variables on T<sub>b</sub>. For that, regression and correlation analyses were used.</p>
        <p>Two principal components jointly accounted for ≈76% of the total variance. <abbrev xlink:title="primary axis">PC1</abbrev> (55.1% of the variance) represents a combined thermal–radiative gradient, with high loadings from T<sub>b</sub>, T<sub>s</sub>, solar radiation, and T<sub>a</sub>; <abbrev xlink:title="independent axis">PC2</abbrev> (20.9% of the variance) was dominated by wind speed and is essentially orthogonal to <abbrev xlink:title="primary axis">PC1</abbrev> (Table <xref ref-type="table" rid="T2">2</xref>, Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table S4, figs S2, S3).</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Contribution distribution of thermal variables to <abbrev xlink:title="Principal component analysis">PCA</abbrev> axes (<abbrev xlink:title="primary axis">PC1</abbrev>–<abbrev xlink:title="independent axis">PC2</abbrev>) (%).</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">
                  <bold>Variable</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Contribution to <abbrev xlink:title="primary axis">PC1</abbrev> (%)</bold>
                </th>
                <th rowspan="1" colspan="1">
                  <bold>Contribution to <abbrev xlink:title="independent axis">PC2</abbrev> (%)</bold>
                </th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Tb</td>
                <td rowspan="1" colspan="1">27.95</td>
                <td rowspan="1" colspan="1">2.01</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Ts</td>
                <td rowspan="1" colspan="1">27.82</td>
                <td rowspan="1" colspan="1">0.45</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Ta</td>
                <td rowspan="1" colspan="1">18.90</td>
                <td rowspan="1" colspan="1">4.87</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Wind</td>
                <td rowspan="1" colspan="1">0.02</td>
                <td rowspan="1" colspan="1">91.96</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Solar</td>
                <td rowspan="1" colspan="1">25.31</td>
                <td rowspan="1" colspan="1">0.71</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Total</td>
                <td rowspan="1" colspan="1">100.00</td>
                <td rowspan="1" colspan="1">100.00</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="Discussion" id="sec15">
      <title>Discussion</title>
      <p>The results show that, in the Mount Spil population of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic>, <sub>Tb</sub> is significantly associated with microhabitat-scale thermal variables, with T<sub>s</sub> and solar radiation emerging as the strongest predictors. Mean T<sub>b</sub> (32.32 ± 4.53 °C) was significantly higher than both mean T<sub>s</sub> (30.6 ± 6.97 °C) and mean T<sub>a</sub> (28.1 ± 4.04 °C), indicating that the population is an active thermoregulator rather than a passive thermoconformer. The right-skewed distribution of T<sub>b</sub>–T<sub>s</sub> differences (Fig. <xref ref-type="fig" rid="F1">1</xref>) is consistent with active microhabitat selection rather than complete thermal equilibrium with the environment, in line with <xref ref-type="bibr" rid="B23">Hertz et al. (1993)</xref>. Similar patterns—mean T<sub>b</sub> statistically higher than T<sub>s</sub> and T<sub>a</sub>—have been reported in <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Lacerta">Lacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="trilineata">trilineata</tp:taxon-name-part></tp:taxon-name></italic> and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Lacerta">Lacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="viridis">viridis</tp:taxon-name-part></tp:taxon-name></italic> (<xref ref-type="bibr" rid="B54">Vacheva et al. 2025</xref>), <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Phymaturus">Phymaturus</tp:taxon-name-part></tp:taxon-name></italic> spp. (<xref ref-type="bibr" rid="B3">Alés et al. 2017</xref>; <xref ref-type="bibr" rid="B56">Vicenzi et al. 2017</xref>), <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Leiocephalus">Leiocephalus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="schreibersi">schreibersi</tp:taxon-name-part></tp:taxon-name></italic> (<xref ref-type="bibr" rid="B34">Marcellini and Jenssen 1989</xref>), and <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Liolaemus">Liolaemus</tp:taxon-name-part></tp:taxon-name></italic> spp. (<xref ref-type="bibr" rid="B55">Valdez Ovallez et al. 2023</xref>), where such differences have been attributed to basking and substrate-based heat gain.</p>
      <p>The mean field T<sub>b</sub> recorded in the present study (32.32 ± 4.53 °C) (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: table SS1) falls slightly below the preferred body temperature (Tpref ≈ 34.5 °C) reported for this species under laboratory conditions (<xref ref-type="bibr" rid="B37">Oğuz 2020</xref>). This discrepancy is not unexpected, as field T<sub>b</sub> integrates periods of inactivity, movement, and thermal transition that a laboratory-derived set-point temperature does not capture (<xref ref-type="bibr" rid="B23">Hertz et al. 1993</xref>). Similar offsets between field T<sub>b</sub> and laboratory T<sub>pref</sub> have been documented in other lacertid species (<xref ref-type="bibr" rid="B2">Aguado and Braña 2014</xref>; <xref ref-type="bibr" rid="B65">Zamora-Camacho et al. 2016</xref>), 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 <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part></tp:taxon-name></italic> 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 (<xref ref-type="bibr" rid="B46">Şahin and Kuyucu 2021</xref>), which show broadly similar patterns of microhabitat-driven thermoregulation.</p>
      <p>Although the Pearson correlation between T<sub>b</sub> and T<sub>s</sub> was slightly stronger than that between T<sub>b</sub> and solar radiation, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> behaves primarily as a heliothermic—rather than a purely thigmothermic—species for several complementary reasons. First, mean T<sub>b</sub> was significantly higher than mean T<sub>s</sub>, so individuals are not simply equilibrating with the substrate, as would be expected of a strict thigmotherm; the T<sub>b</sub>–T<sub>s</sub> correlation rather reflects the fact that solar-heated substrates and basking individuals share the same radiative forcing. Second, in the multiple regression, both T<sub>s</sub> and solar radiation remained significant, independent positive predictors of T<sub>b</sub> (Table <xref ref-type="table" rid="T1">1</xref>), showing that solar radiation contributes to T<sub>b</sub> over and above T<sub>s</sub>. Third, sun-exposed substrates are themselves heated largely by incoming solar radiation, so T<sub>s</sub> carries a strong radiative signal; the fact that T<sub>s</sub>, T<sub>a</sub> and solar radiation load together on <abbrev xlink:title="primary axis">PC1</abbrev> (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: 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 (<xref ref-type="bibr" rid="B21">Gans 1982</xref>; <xref ref-type="bibr" rid="B46">Şahin and Kuyucu 2021</xref>).</p>
      <p>Regression analyses further indicate that <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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 (<xref ref-type="bibr" rid="B6">Bakken and Angilletta Jr 2014</xref>; <xref ref-type="bibr" rid="B30">Lembrechts and Lenoir 2020</xref>; <xref ref-type="bibr" rid="B36">Nordberg and Schwarzkopf 2019</xref>; <xref ref-type="bibr" rid="B48">Sears and Angilletta Jr 2015</xref>; <xref ref-type="bibr" rid="B49">Sears et al. 2016</xref>). Microhabitat heterogeneity provided by rock outcrops and vegetation on Mount Spil likely buffers individuals against extremes in T<sub>a</sub>, in line with the Bogert effect—behavioral thermoregulation that partly decouples T<sub>b</sub> from macroclimate and may mask genuine physiological vulnerability (<xref ref-type="bibr" rid="B32">Logan et al. 2019</xref>). Several studies have shown that lizards in high-altitude or thermally variable environments can maintain T<sub>b</sub> well above T<sub>a</sub> by exploiting solar radiation (<xref ref-type="bibr" rid="B11">Brewster and Beaupre 2019</xref>; <xref ref-type="bibr" rid="B38">Ortega and Martin-Vallejo 2019</xref>; <xref ref-type="bibr" rid="B52">Sunday et al. 2014</xref>).</p>
      <p>The positive, independent effects of T<sub>s</sub> and solar radiation on T<sub>b</sub> indicate that individuals exploit local thermal opportunities efficiently. Nevertheless, the relatively small mean T<sub>b</sub>–T<sub>s</sub> difference (1.76 °C; <italic>d</italic> = 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 <xref ref-type="bibr" rid="B9">Bonavita et al. (2025)</xref>.</p>
      <p>The <abbrev xlink:title="Principal component analysis">PCA</abbrev> results show that T<sub>b</sub>, T<sub>s</sub>, solar radiation, and T<sub>a</sub> load together on <abbrev xlink:title="primary axis">PC1</abbrev>, whereas wind speed loads almost exclusively on an orthogonal <abbrev xlink:title="independent axis">PC2</abbrev>. This pattern is consistent with previous work emphasizing the dominant, integrated role of radiative and substrate thermal variables in shaping ectotherm thermal ecology (<xref ref-type="bibr" rid="B15">Crawford et al. 1983</xref>; <xref ref-type="bibr" rid="B41">Paranjpe et al. 2014</xref>) and also with field studies in which wind is reported to influence operative temperature models but is frequently a secondary determinant of T<sub>b</sub> (<xref ref-type="bibr" rid="B4">Almeida-Santos et al. 2015</xref>; <xref ref-type="bibr" rid="B5">Bakken 1992</xref>; <xref ref-type="bibr" rid="B20">Dzialowski 2005</xref>; <xref ref-type="bibr" rid="B46">Şahin and Kuyucu 2021</xref>). The loading of wind on an axis independent of the radiative–thermal gradient, together with its nonsignificant effect in the multiple regression, suggests that <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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 (<italic>E</italic>), 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.</p>
      <p>Females maintained significantly higher field T<sub>b</sub> than males, despite the absence of detectable differences in body size. Consistent with this, neither <abbrev xlink:title="snout–vent length">SVL</abbrev> nor body mass predicted field T<sub>b</sub> in adult individuals, making a thermal inertia explanation unlikely. Sex-specific differences in field T<sub>b</sub> 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 (<xref ref-type="bibr" rid="B28">Kechnebbou et al. 2025</xref>; <xref ref-type="bibr" rid="B54">Vacheva et al. 2025</xref>). 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.</p>
    </sec>
    <sec sec-type="Conclusion" id="sec16">
      <title>Conclusion</title>
      <p>The Mount Spil population of <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> behaves as an active thermoregulator, maintaining T<sub>b</sub> (32.32 ± 4.53 °C) significantly above both T<sub>s</sub> and T<sub>a</sub>. Multiple regression identified T<sub>s</sub> and solar radiation as the only independent, significant positive predictors of T<sub>b</sub>, 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 T<sub>b</sub> 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 <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">A.</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> 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.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>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, <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic> (WERNER, 1900) (<tp:taxon-name><tp:taxon-name-part taxon-name-part-type="superclass" reg="Reptilia">Reptilia</tp:taxon-name-part></tp:taxon-name>: <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="order" reg="Sauria">Sauria</tp:taxon-name-part></tp:taxon-name>: <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="family" reg="Lacertidae">Lacertidae</tp:taxon-name-part></tp:taxon-name>), Living on Mount Manisa (Spil)".</p>
    </ack>
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    <sec sec-type="Additional information" id="sec17">
      <title>Additional information</title>
      <sec sec-type="Conflict of interest" id="sec18">
        <title>Conflict of interest</title>
        <p>The authors have declared that no competing interests exist.</p>
      </sec>
      <sec sec-type="Ethical statement" id="sec19">
        <title>Ethical statement</title>
        <p>No ethical statement was reported.</p>
      </sec>
      <sec sec-type="Artificial Intelligence (AI) use" id="sec20">
        <title>Artificial Intelligence (AI) use</title>
        <p>Regarding the use of AI in the preparation of this manuscript, the authors declare the following:</p>
        <p>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.</p>
      </sec>
      <sec sec-type="Funding" id="sec21">
        <title>Funding</title>
        <p>This work was supported by the Manisa Celal Bayar University Rectorate Scientific Research Projects Coordination Unit.</p>
      </sec>
      <sec sec-type="Author contributions" id="sec22">
        <title>Author contributions</title>
        <p>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.</p>
      </sec>
      <sec sec-type="Author ORCIDs" id="sec23">
        <title>Author ORCIDs</title>
        <p>Ç. Çelik <ext-link xlink:href="https://orcid.org/0000-0003-4116-2383" ext-link-type="uri">https://orcid.org/0000-0003-4116-2383</ext-link></p>
        <p>M. Afsar <ext-link xlink:href="https://orcid.org/0000-0003-3210-8262" ext-link-type="uri">https://orcid.org/0000-0003-3210-8262</ext-link></p>
        <p>M.K. Şahin <ext-link xlink:href="https://orcid.org/0000-0003-0834-5081" ext-link-type="uri">https://orcid.org/0000-0003-0834-5081</ext-link></p>
      </sec>
      <sec sec-type="Data availability" id="sec24">
        <title>Data availability</title>
        <p>All of the data that support the findings of this study are available in the main text or Supplementary Information.</p>
      </sec>
    </sec>
    <sec sec-type="supplementary-material">
      <title>Supplementary materials</title>
      <supplementary-material id="S1" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="arpha">14FAA80D-7FFA-5612-94C7-BF873E057A01</object-id>
        <label>Supplementary material 1</label>
        <caption>
          <p>Revised field measurements</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>csv</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p>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 <abbrev xlink:title="snout–vent length">SVL</abbrev>, body mass, and sex data.</p>
        </statement>
        <media xlink:href="herpetozoa-39-281-s001.csv" mimetype="text" mime-subtype="csv" position="float" orientation="portrait" id="oo_1714947.csv">
          <uri content-type="original_file">https://binary.pensoft.net/file/1714947</uri>
        </media>
        <permissions>
          <license>
            <license-p>This dataset is made available under the Open Database License (<ext-link ext-link-type="uri" xlink:href="http://opendatacommons.org/licenses/odbl/1.0/">http://opendatacommons.org/licenses/odbl/1.0/</ext-link>). 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.</license-p>
          </license>
        </permissions>
        <attrib specific-use="authors"> Çetin Çelik, Mehmet Kürşat Şahin</attrib>
      </supplementary-material>
      <supplementary-material id="S2" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="arpha">EF3C9056-26B4-5C65-A135-E47831ACADFA</object-id>
        <label>Supplementary material 2</label>
        <caption>
          <p>Additional tables and figures</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>docx</p>
        </statement>
        <statement content-type="notes">
          <label>Explanation note</label>
          <p><bold>table SS1</bold>. Descriptive statistics for body temperature (T<sub>b</sub>) and environmental variables for <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Anatololacerta">Anatololacerta</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="anatolica">anatolica</tp:taxon-name-part></tp:taxon-name></italic>. <bold>table SS2</bold>. Multiple linear regression diagnostics: variance inflation factor (VIF) values. <bold>table S3</bold>. Simplified multiple linear regression results for body temperature (T<sub>b</sub>). <bold>table S4</bold>. <abbrev xlink:title="Principal component analysis">PCA</abbrev> eigenvalues and explained variance. <bold>fig. S1</bold>. Effect of wind speed (m/s) on body temperature (T<sub>b</sub>) (°C). <bold>fig. S2</bold>. Principal component analysis (<abbrev xlink:title="Principal component analysis">PCA</abbrev>) biplot of environmental variables and T<sub>b</sub>. <bold>fig. S3</bold>. Correlation matrix: T<sub>b</sub> and environmental variables.</p>
        </statement>
        <media xlink:href="herpetozoa-39-281-s002.docx" mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" orientation="portrait" id="oo_1714948.docx">
          <uri content-type="original_file">https://binary.pensoft.net/file/1714948</uri>
        </media>
        <permissions>
          <license>
            <license-p>This dataset is made available under the Open Database License (<ext-link ext-link-type="uri" xlink:href="http://opendatacommons.org/licenses/odbl/1.0/">http://opendatacommons.org/licenses/odbl/1.0/</ext-link>). 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.</license-p>
          </license>
        </permissions>
        <attrib specific-use="authors"> Çetin Çelik, Mehmet Kürşat Şahin</attrib>
      </supplementary-material>
    </sec>
  </back>
</article>
