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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Insect Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Insect Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Insect Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-8600</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/finsc.2026.1774730</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Temperature-dependent developmental modeling of protophormia terraenovae (Diptera: Calliphoridae) and its application in PMI inference</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Guo</surname><given-names>Yali</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Niu</surname><given-names>Yuequn</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Bo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Zhou</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Minghao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Guo</surname><given-names>JiaHao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Cai</surname><given-names>Jifeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Meng</surname><given-names>Fanming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Forensic Medicine, School of Basic Medical Sciences, Xinjiang Medical University</institution>, <city>Urumqi</city>, <state>Xinjiang</state>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Key Laboratory of Forensic Medicine, Xinjiang Medical University</institution>, <city>Urumqi</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Forensic Science, School of Basic Medical Sciences, Central South University</institution>, <city>Changsha</city>, <state>Hunan</state>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Parasitology, Central South University</institution>, <city>Changsha</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Fanming Meng, <email xlink:href="mailto:mengfanming1984@163.com">mengfanming1984@163.com</email>; Jifeng Cai, <email xlink:href="mailto:cjf_jifeng@163.com">cjf_jifeng@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>6</volume>
<elocation-id>1774730</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Guo, Niu, Wang, Li, Zhang, Guo, Cai and Meng.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Guo, Niu, Wang, Li, Zhang, Guo, Cai and Meng</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p><italic>Protophormia terraenovae</italic> is a forensically important blow fly species in cold regions. This study investigated its development at constant temperatures (15-25&#xb0;C). Results showed that developmental duration significantly decreased with increasing temperature, with the total period ranging from 779.33 hours at 15 &#xb0;C to 396.67 hours at 25 &#xb0;C. The hatching and third-instar larval stages were most temperature-sensitive. We established Isomorphen and Isomegalen models, which visually illustrated the prolongation of development progress and the increased time required for larval growth per millimeter as temperature decreased. Thermal summation models indicated a strong linear relationship for the hatching and third-instar stages. Furthermore, we found that pupal weight was a more reliable growth indicators than length or width. This study provides fundamental developmental data and models for improving the accuracy of postmortem interval estimation using <italic>P. terraenovae</italic> in forensic practice.</p>
</abstract>
<kwd-group>
<kwd>forensic entomology</kwd>
<kwd>necrophagous insect</kwd>
<kwd><italic>Protophormia terraenovae</italic></kwd>
<kwd>postmortem interval</kwd>
<kwd>developmental models</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the National Natural Science Foundation of China (grant number 32460248, 82471916, 32370554), the Natural Science Foundation of: Xinjiang Uygur Autonomous Region (No.2024D14016), and the Research and Innovation Team Project of Xinjiang Medical University (XYD2024C05).</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="9"/>
<word-count count="4399"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Insect Physiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Estimating the postmortem interval (PMI) based on the developmental rate of necrophagous flies is a cornerstone of modern forensic entomology (<xref ref-type="bibr" rid="B1">1</xref>). The accuracy of this estimation largely depends on developmental models established from constant-temperature experiments. Temperature is the primary abiotic factor driving these developmental rates, and accurate, species-specific thermal models are the prerequisite for any reliable forensic inference. Therefore, studying insect growth data under different temperatures is of great significance for PMI estimation.</p>
<p><italic>Protophormia terraenovae</italic> (Robineau-Desvoidy, 1830)(Diptera: Calliphoridae) is known to be a primary colonizer during the early stages of human decomposition in the field of forensic entomology (<xref ref-type="bibr" rid="B2">2</xref>). It is distributed both domestically and internationally, widely found in cold regions of Europe and North America (<xref ref-type="bibr" rid="B3">3</xref>). In Europe, it is widely distributed from the Arctic to subtropical regions, including Spain, the Czech Republic, and Slovakia (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). In North America, it includes the United States and Canada (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In China, it is mainly distributed in Tibet, Qinghai, Xinjiang, Heilongjiang, Sichuan, and other regions (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Most regions exhibit significant seasonal temperature differences, characterized by long, cold winters and warm or even hot summers,with relatively limited precipitation. Unlike thermophilic species that thrive in mid-summer, <italic>P. terraenovae</italic> is highly cold-tolerant and frequently appears as a primary colonizer in early spring, late autumn, or cool-temperate regions (<xref ref-type="bibr" rid="B12">12</xref>). In many cold-weather cases, it serves as the sole biological evidence available to investigators (<xref ref-type="bibr" rid="B11">11</xref>). Therefore, establishing a precise developmental timeline for this species is essential for solving cases in low-temperature environments globally.</p>
<p>Although the developmental progress of <italic>P. terraenovae</italic> has been documented in previous studies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>), there are still deficiencies in the application of developmental models and the accuracy of PMI estimation in later developmental stages. Many existing studies only provide basic development timelines (<xref ref-type="bibr" rid="B6">6</xref>) but lack comprehensive Isomorphen diagram, Isomegalen diagram, and Thermal summation models, which are crucial for rapid visual estimation in cases (<xref ref-type="bibr" rid="B14">14</xref>). More importantly, a major challenge in forensic entomology is the PMI estimation of the pupal stage. The pupal stage typically constitutes a significant portion of the larval life cycle, but morphological changes during this period are subtle and difficult to quantify (<xref ref-type="bibr" rid="B15">15</xref>). Traditional length measurements show almost no change after pupation, leading to a blind spot in PMI estimation. Therefore, there is an urgent need to explore alternative indicators, such as dynamic weight changes during the pupal stage, to accurately determine the age of this stage.</p>
<p>To address these limitations, this study systematically investigates the temperature-dependent developmental progress of <italic>P. terraenovae</italic> under constant temperatures ranging from 15 to 25&#xb0;C. The objectives of this study are: (1) to provide a dataset on developmental duration for this cold-tolerant species; (2) to construct robust Isomorphen diagram, Isomegalen diagram, and Thermal summation models to visualize growth patterns; (3) to evaluate the reliability of pupal morphological changes as an auxiliary indicator for PMI estimation. By integrating these multidimensional models, this study aims to enhance the accuracy of inferring PMI using the developmental status of <italic>P. terraenovae</italic>, providing more comprehensive tools for forensic practitioners in cold regions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Insect source and colony establishment</title>
<p>Adult <italic>P. terraenovae</italic> were collected from sheep carcasses in Qitai County, Xinjiang, China (44.01&#xb0;N, 89.59&#xb0;E). Adult flies were identified morphologically under a stereomicroscope (<xref ref-type="bibr" rid="B16">16</xref>). One male and one female were paired to establish laboratory colonies. Larvae were reared on fresh pork lung, and colonies were maintained for at least three generations before experiments. Adults were kept in nylon mesh cages (50 &#xd7; 50 &#xd7; 50 cm) at 25 &#xb1; 1&#xb0;C under natural photoperiod.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental design</title>
<p>Eggs laid within 2 hours were randomly distributed across three constant-temperature regimes (15, 20 and 25&#xb0;C). Each treatment consisted of three biological replicates, and each replicate included at least 100 eggs from a different egg mass. Relative humidity was maintained at 75% with a 12 h:12 h (L:D) photoperiod.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Observation of developmental duration and measurement of larval morphological indicators</title>
<p>Egg hatching was monitored at 2-hour intervals until all eggs had hatched. Growth indicators was recorded at 12-hour intervals. Five larvae were randomly sampled at each time point until pupariation for body length measurement and instar identification. The instar was determined based on the number of spiracular slits in the posterior spiracles: two slits indicated the second instar larval, and three slits indicated the third instar larval (<xref ref-type="bibr" rid="B17">17</xref>). Upon sampling, larvae were killed in hot water (&gt;90 &#xb0;C) for five minutes (<xref ref-type="bibr" rid="B18">18</xref>) and preserved in 1.5 ml of 70% ethanol in EP tubes (<xref ref-type="bibr" rid="B19">19</xref>). Body length and body width were measured using a digital vernier caliper with an accuracy of 0.01 mm and (<xref ref-type="bibr" rid="B20">20</xref>). After pupariation, developmental status was checked every 24 hours until adult eclosion.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Experimental data analysis</title>
<p>All experimental data were first preliminarily organized using Excel. Statistical analysis was performed with Origin Pro 2021 to calculate the mean and standard deviation (SD) of each indicator. It was also used to complete the fitting and visualization of all models, generating model curves and 95% confidence intervals. One-way ANOVA was employed to test the significance of differences in developmental duration and morphological indicators among different temperature treatment groups, with Tukey&#x2019;s method used for multiple comparisons, and the significance level set at &#x3b1;=0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results and analysis</title>
<sec id="s3_1">
<label>3.1</label>
<title>Isomorphen models are based on development</title>
<p>Different temperatures have significant effects on the duration of growth and development stages of <italic>P. terraenovae</italic> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). One-way ANOVA results indicate that within the 15-25 &#xb0;C temperature range, developmental stages including hatching, second instar, third instar, and pupation all showed prolonged durations with decreasing temperatures, with the total developmental period also increasing. When the temperature dropped from 25 &#xb0;C to 15 &#xb0;C, the total developmental period extended from 396.67 &#xb1; 13.58 hours to 779.33 &#xb1; 36.23 hours (F = 72.58, P&lt;0.001). Statistical significance results showed no significant differences in the wandering and eclosion stage under different temperature conditions (wandering: F = 1.4091, P = 0.3150&gt;0.05; eclosion: F = 1.2895, P = 0.3421&gt;0.05). However, significant differences were found in the hatching stage(F = 16.9821, P = 0.0034&lt;0.05), third instar larval stage (F = 24.3636, P = 0.0013&lt;0.01), and total development duration (F = 72.5798, P = 0.0000&lt;0.001). Furthermore, the eclosion rates at 15 &#xb0;C, 20 &#xb0;C and 25 &#xb0;C were 88.72%, 76.63% and 77.78%, with a slightly higher eclosion rate under lower temperature conditions.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Developmental duration of different stages at different temperatures.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Developmental stage</th>
<th valign="middle" colspan="3" align="center">Temperature treatment group</th>
<th valign="middle" rowspan="2" align="center">F</th>
<th valign="middle" rowspan="2" align="center">P</th>
<th valign="middle" rowspan="2" align="center">R&#xb2;</th>
</tr>
<tr>
<th valign="middle" align="center">25&#xb0;C</th>
<th valign="middle" align="center">20&#xb0;C</th>
<th valign="middle" align="center">15&#xb0;C</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Hatching</td>
<td valign="middle" align="center">20.67 &#xb1; 0.58<sup>b</sup></td>
<td valign="middle" align="center">43.00 &#xb1; 0.00<sup>b</sup></td>
<td valign="middle" align="center">79.33 &#xb1; 21.55<sup>a</sup></td>
<td valign="middle" align="center">16.9821</td>
<td valign="middle" align="center">0.0034</td>
<td valign="middle" align="center">0.8499</td>
</tr>
<tr>
<td valign="middle" align="center">2nd instar</td>
<td valign="middle" align="center">64.00 &#xb1; 6.93<sup>ab</sup></td>
<td valign="middle" align="center">52.00 &#xb1; 6.92<sup>b</sup></td>
<td valign="middle" align="center">84.00 &#xb1; 12.00<sup>a</sup></td>
<td valign="middle" align="center">9.8000</td>
<td valign="middle" align="center">0.0129</td>
<td valign="middle" align="center">0.7656</td>
</tr>
<tr>
<td valign="middle" align="center">3rd instar</td>
<td valign="middle" align="center">52.00 &#xb1; 13.86<sup>b</sup></td>
<td valign="middle" align="center">84.00 &#xb1; 31.75<sup>b</sup></td>
<td valign="middle" align="center">196 &#xb1; 30.20<sup>a</sup></td>
<td valign="middle" align="center">24.3636</td>
<td valign="middle" align="center">0.0013</td>
<td valign="middle" align="center">0.8904</td>
</tr>
<tr>
<td valign="middle" align="center">Wandering</td>
<td valign="middle" align="center">36.00 &#xb1; 31.75<sup>a</sup></td>
<td valign="middle" align="center">40.00 &#xb1; 6.93<sup>a</sup></td>
<td valign="middle" align="center">60.00 &#xb1; 31.75<sup>a</sup></td>
<td valign="middle" align="center">1.4091</td>
<td valign="middle" align="center">0.3150</td>
<td valign="middle" align="center">0.31960</td>
</tr>
<tr>
<td valign="middle" align="center">Pupation</td>
<td valign="middle" align="center">160.00 &#xb1; 13.86<sup>b</sup></td>
<td valign="middle" align="center">172.00 &#xb1; 6.93<sup>b</sup></td>
<td valign="middle" align="center">264.00 &#xb1; 31.75<sup>a</sup></td>
<td valign="middle" align="center">23.3462</td>
<td valign="middle" align="center">0.0015</td>
<td valign="middle" align="center">0.8861</td>
</tr>
<tr>
<td valign="middle" align="center">Eclosion</td>
<td valign="middle" align="center">64.00 &#xb1; 18.34<sup>a</sup></td>
<td valign="middle" align="center">76.00 &#xb1; 36.66<sup>a</sup></td>
<td valign="middle" align="center">96.00 &#xb1; 12.00<sup>a</sup></td>
<td valign="middle" align="center">1.2895</td>
<td valign="middle" align="center">0.3421</td>
<td valign="middle" align="center">0.3006</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">396.67 &#xb1; 13.58<sup>b</sup></td>
<td valign="middle" align="center">467.00 &#xb1; 60.40<sup>b</sup></td>
<td valign="middle" align="center">779.33 &#xb1; 36.23<sup>a</sup></td>
<td valign="middle" align="center">72.5798</td>
<td valign="middle" align="center">6.25383E-5</td>
<td valign="middle" align="center">0.9603</td>
</tr>
<tr>
<td valign="middle" align="center">Eclosion rate</td>
<td valign="middle" align="center">77.78%</td>
<td valign="middle" align="center">76.63%</td>
<td valign="middle" align="center">88.72%</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are mean &#xb1; SD. Means followed by different letters are significantly different at P &lt; 0.05 (Tukey&#x2019;s test). The R<sup>2</sup>, F- and P-values from one-way ANOVA are shown; P &lt; 0.05 and P &lt; 0.01 represent significant and highly significant differences, respectively.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The Isomorphen diagram for <italic>P.terraenovae</italic> was plotted using OriginPro 2021, with the time to reach each developmental milestone as the x-axis and temperature as the y-axis. As shown in the diagram (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>), within the temperature range of 15-25 &#xb0;C, the time required to complete each developmental milestone gradually increased as the temperature decreased. Moreover, the spacing between successive curves widened with decreasing temperature, reflecting a clear slowdown in the developmental rate under lower temperatures.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Isomorphen diagram of <italic>P. terraenovae</italic> development at constant temperatures.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g001.tif">
<alt-text content-type="machine-generated">Line graph showing temperature changes over time for various developmental stages: hatching (squares), second instar (circles), third instar (triangles), wandering (stars), pupa (diamonds), and adult (starred). Each stage shows a distinct pattern of temperature variation between 10 and 30 degrees Celsius over 0 to 300 hours.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Isomegalen models are base on growth</title>
<p>To clarify the developmental progress of <italic>P.terraenovae</italic> larvae under constant temperatures of 15 &#xb0;C, 20 &#xb0;C and 25 &#xb0;C, regression analysis was performed with the time after larva hatched as the independent variable and larval body length as the dependent variable.The analysis yielded simulated curves (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) and corresponding equations (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>) that describe the changes in larval body length over time at each temperature. The analysis of the curve morphology showed an S-shaped trend, characterized by a rapid increase followed by a plateau under all three temperature conditions. At 25 &#xb0;C, the initial growth rate of larval body length was the most rapid among the three temperature groups, while the slowest growth occurred at 15 &#xb0;C. The simulation equations derived from nonlinear fitting yielded R&#xb2; values (15 &#xb0;C: 0.9800, 20 &#xb0;C: 0.9777, 25 &#xb0;C: 0.9823). All values were close to 1, indicating an excellent model fit. This demonstrates that the model reliably predicts larval body length based on developmental duration of different temperatures, thereby validating the use of body length as an auxiliary indicator for PMI estimation.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Simulated curves depicting the change in larval body length over time at different temperatures. Data points (&#x25a0;) represent the mean larval body length, with error bars indicating the standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g002.tif">
<alt-text content-type="machine-generated">Three line graphs show the growth in length over time at different temperatures: 15&#xb0;C, 20&#xb0;C, and 25&#xb0;C. Vertical error bars indicate variability in measurements. The y-axis represents length in millimeters, and the x-axis denotes time in hours. Each graph shows an initial increase in length, which plateaus over time, with varying rates and extents of growth at each temperature.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Simulation equation depicting the change in larval body length over time at different temperatures.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Temperature</th>
<th valign="middle" align="center">Simulation equation</th>
<th valign="middle" align="center">R<sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">15 &#xb0;C</td>
<td valign="middle" align="center">L=(-2.83809 &#xb1; 1.40596) + (0.10291 &#xb1; 0.02978)T + (8.35363E-6 &#xb1; 1.75276E &#x2212;4)T<sup>2</sup> + (&#x2212;4.18914E&#x2212;7 &#xb1; 3.02249E&#x2212;7)T<sup>3</sup></td>
<td valign="middle" align="center">0.9800</td>
</tr>
<tr>
<td valign="middle" align="center">20 &#xb0;C</td>
<td valign="middle" align="center">L=(-4.02386 &#xb1; 2.30086) + (0.18566 &#xb1; 0.07408)T + (-1.30549E-4 &#xb1; 6.75728E-4)T<sup>2</sup> + (-1.42089E-6 &#xb1; 1.82613E-6)T<sup>3</sup></td>
<td valign="middle" align="center">0.9777</td>
</tr>
<tr>
<td valign="middle" align="center">25 &#xb0;C</td>
<td valign="middle" align="center">L=(0.17901 &#xb1; 5.84615) + (0.04756 &#xb1; 0.21955)T + (0.00228 &#xb1; 0.00252)T<sup>2</sup> + (-1.21548E-5 &#xb1; 8.92779E-6)T<sup>3</sup></td>
<td valign="middle" align="center">0.9823</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Based on the larval body length change curves and simulation equation data from <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>; <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, an Isomegalen diagram was established (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). This model can be used to estimate larval age. The model shows that as the temperature decreases, the distance between the contour lines gradually widens. It indicates that the developmental time for growth by 1 mm is correspondingly prolonged.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Isomegalen diagram of <italic>P.terraenovae</italic> larvae from hatching to peak feeding stage. Time was plotted against temperature where each line represents developmental larval length in 4&#x2013;17 mm, size is indicated by the number at the lower margin of each contour.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g003.tif">
<alt-text content-type="machine-generated">Graph depicting multiple lines representing the decrease of temperature over time. Temperature is plotted on the y-axis in degrees Celsius ranging from 15 to 25, while time in hours is on the x-axis from 0 to 250. Each line shows a gradual decline in temperature as time progresses.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Thermal summation model</title>
<p>Linear regression analysis was performed using the duration of each developmental stage&#x2014;hatching, second instar, third instar, wandering, eclosion and total developmental period&#x2014;as the independent variable (X-axis) and the accumulated degree hours (Chattopadhyay et&#xa0;al.) as the dependent variable (Y-axis). This resulted in the establishment of six linear thermal summation models (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). The results showed that most of the data points for stages such as hatching and the third instar stage were distributed within the confidence intervals, and the linear fitting degree was good, demonstrating the reliability of the linear regression models for these stages. However, the fitting effect of the model for the pupation stage was poor when the ADH was used as the Y-axis, and the fitting effect was better when the developmental rate (1/ADH) was used as the Y-axis (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). Due to the poor linear correlation between effective thermal summation (K) and developmental time for the total developmental period at 20 &#xb0;C and 15 &#xb0;C, as well as for the pupariation and post-feeding stages at 25 &#xb0;C and 15 &#xb0;C, these data points were excluded from the regression analysis following the recommendation of Ikemoto and Takai (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Thermal summation model of five developmental stages and a total developmental stage. The red shaded area indicates the 95% confidence interval. <bold>(A&#x2013;F)</bold>: Hatching, second instar, third instar, Wandering, Eclosion, and total duration.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g004.tif">
<alt-text content-type="machine-generated">Graphs illustrating the relationship between time in hours and accumulated degree hours (ADH) for different developmental stages: A) Hatching, B) Second instar, C) Third instar, D) Wandering, E) Adult, and F) Total duration. Each graph displays a trend line with data points and a red shaded area representing variability.</alt-text>
</graphic></fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Thermal summation model of pupation stage of different fitting methods. linearized equation [<bold>(A)</bold> <inline-formula>
<mml:math display="inline" id="im1"><mml:mrow><mml:mi>D</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>T</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:mi>k</mml:mi></mml:mrow></mml:math></inline-formula>, <bold>(B)</bold> <inline-formula>
<mml:math display="inline" id="im2"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mi>D</mml:mi></mml:mfrac><mml:mo>=</mml:mo><mml:mo>&#x2212;</mml:mo><mml:mfrac><mml:mi>t</mml:mi><mml:mi>k</mml:mi></mml:mfrac><mml:mo>+</mml:mo><mml:mfrac><mml:mn>1</mml:mn><mml:mi>k</mml:mi></mml:mfrac><mml:mi>T</mml:mi></mml:mrow></mml:math></inline-formula>].</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g005.tif">
<alt-text content-type="machine-generated">Two scatter plots labeled A and B, analyzing pupa data. Plot A depicts ADH against Time, showing a weak positive trend with a shaded confidence interval. Plot B shows 1/ADH against Temperature, indicating a positive trend with a confidence interval.</alt-text>
</graphic></fig>
<p>The lower temperature threshold (D<sub>0</sub>) and the effective cumulative temperature (K) for each stage were obtained from the effective thermal summation model (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). The model fit was highly satisfactory for the eclosion and third-instar stages, with R&#xb2; values of 0.9707 and 0.9618, respectively, demonstrating a strong linear relationship. Conversely, the low R&#xb2; values of 0.1854 for the second instar stage and 0.2146 for pupariation indicated a weak linear relationship in these stages.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Lower temperature threshold (D<sub>0</sub>) and effective cumulative temperature(K) at different developmental stages.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Development stage</th>
<th valign="middle" align="center">K &#xb1; SD</th>
<th valign="middle" align="center">D<sub>0</sub> &#xb1; SD</th>
<th valign="middle" align="center">R2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Hatching</td>
<td valign="middle" align="center">292.59092 &#xb1; 42.22426</td>
<td valign="middle" align="center">11.81045 &#xb1; 0.77611</td>
<td valign="middle" align="center">0.9707</td>
</tr>
<tr>
<td valign="middle" align="center">2nd instar</td>
<td valign="middle" align="center">792.1875 &#xb1; 412.44018</td>
<td valign="middle" align="center">7.61719 &#xb1; 6.03406</td>
<td valign="middle" align="center">0.1854</td>
</tr>
<tr>
<td valign="middle" align="center">3rd instar</td>
<td valign="middle" align="center">632.74086 &#xb1; 117.33543</td>
<td valign="middle" align="center">12.11379 &#xb1; 0.91268</td>
<td valign="middle" align="center">0.9618</td>
</tr>
<tr>
<td valign="middle" align="center">Wandering</td>
<td valign="middle" align="center">525.71429 &#xb1; 93.28473</td>
<td valign="middle" align="center">8.33333 &#xb1; 1.80388</td>
<td valign="middle" align="center">0.8102</td>
</tr>
<tr>
<td valign="middle" align="center">Pupation</td>
<td valign="middle" align="center">3086.54015 &#xb1; 531.62711</td>
<td valign="middle" align="center">3.59124 &#xb1; 2.59704</td>
<td valign="middle" align="center">0.2146</td>
</tr>
<tr>
<td valign="middle" align="center">Eclosion</td>
<td valign="middle" align="center">506.50307 &#xb1; 368.5154</td>
<td valign="middle" align="center">12.88344 &#xb1; 4.47946</td>
<td valign="middle" align="center">0.5417</td>
</tr>
<tr>
<td valign="middle" align="center">Total duration</td>
<td valign="middle" align="center">7569.56127 &#xb1; 481.11602</td>
<td valign="middle" align="center">5.46316 &#xb1; 0.84914</td>
<td valign="middle" align="center">0.8922</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Changes in pupal growth indicators</title>
<p>This study further conducted dynamic monitoring of changes in body length, width, and weight during the pupal stage of <italic>P. terraenovae</italic>, establishing corresponding cubic polynomial regression models (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>) and simulation equations (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref> Simulated equations for pupal growth indicators changes over developmental time at different temperatures). The simulated curves revealed considerable variation in the trends of pupal body length and width across the three temperatures, with no consistent pattern observed. In contrast, the pupal weight curves exhibited a gradual declining trend under all temperature conditions, with the rate of weight loss accelerating as the pupal stage approached eclosion. The weight change was slowest and showed the least curve fluctuation at 15 &#xb0;C. Analysis of the R&#xb2; values from the simulation equations indicated a high goodness-of-fit for the weight change curves at 25 &#xb0;C (R&#xb2; = 0.9203) and 20 &#xb0;C (R&#xb2; = 0.957). However, the fit was poor at 15 &#xb0;C (R&#xb2; = 0.2897), suggesting that low temperatures significantly disrupt the normal pattern of pupal weight change. At 25 &#xb0;C and 20 &#xb0;C, body weight has a relatively higher fit compared to body length and body width, suggesting that the weight may better reflect the physiological state of pupal development and could be used for further model analysis. Under extremely low temperature conditions, body weight may not be a good indicator of growth.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Simulated curves of pupal growth indicators changes over time at different temperatures. X: developmental time (hours), Y: morphological measurements [<bold>(A)</bold> body length; <bold>(B)</bold> body width; <bold>(C)</bold> body weight].</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g006.tif">
<alt-text content-type="machine-generated">Three line graphs depicting the change over time in different conditions. Graph A shows length in millimeters over time, with lines for 25&#xb0;C, 20&#xb0;C, and 15&#xb0;C. Graph B shows width in millimeters, and Graph C shows weight in grams under the same temperatures. Each graph has a legend indicating temperature with lines colored red, yellow, and green. Graphs indicate variations in growth or measurements over a period of up to 350 hours.</alt-text>
</graphic></fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Simulated equations for pupal growth indicators changes over developmental time at different temperatures.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Temperature</th>
<th valign="middle" align="center">Growth indicators</th>
<th valign="middle" align="center">Simulated equations</th>
<th valign="middle" align="center">R<sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">25&#xb0;C</td>
<td valign="middle" rowspan="3" align="center">Length (mm)</td>
<td valign="middle" align="center">L=(0.0012 &#xb1; 0.01427)T + (-8.35138E-5 &#xb1; 1.67244E-4)T<sup>2</sup> + (4.39393E-7 &#xb1; 5.75591E-7)T<sup>3</sup></td>
<td valign="middle" align="center">0.6407</td>
</tr>
<tr>
<td valign="middle" align="center">20&#xb0;C</td>
<td valign="middle" align="center">L=(0.00684 &#xb1; 0.01502)T +(-4.65282E-5 &#xb1; 1.76042E-4)T<sup>2</sup> + (5.89353E-8 &#xb1; 6.05871E-7)T<sup>3</sup></td>
<td valign="middle" align="center">0.3577</td>
</tr>
<tr>
<td valign="middle" align="center">15&#xb0;C</td>
<td valign="middle" align="center">L=(0.00341 &#xb1; 0.00581)T + (-1.39097E-5 &#xb1; 3.94372E-5)T<sup>2</sup> + (2.15819E-8 &#xb1; 7.73515E-8)T<sup>3</sup></td>
<td valign="middle" align="center">0.2951</td>
</tr>
<tr>
<td valign="middle" align="center">25&#xb0;C</td>
<td valign="middle" rowspan="3" align="center">Width (mm)</td>
<td valign="middle" align="center">W=(0.01845 &#xb1; 0.01202)T + (-2.72983E-4 &#xb1; 1.40881E-4)T<sup>2</sup> + (1.01809E-6 &#xb1; 4.84861E-7)T<sup>3</sup></td>
<td valign="middle" align="center">0.7765</td>
</tr>
<tr>
<td valign="middle" align="center">20&#xb0;C</td>
<td valign="middle" align="center">W=(0.00311 &#xb1; 0.00418)T + (-2.60554E-5 &#xb1; 4.90051E-5)T<sup>2</sup> + (8.03755E-8 &#xb1; 1.68657E-7)T<sup>3</sup></td>
<td valign="middle" align="center">0.6786</td>
</tr>
<tr>
<td valign="middle" align="center">15&#xb0;C</td>
<td valign="middle" align="center">W=(4.39334E-4 &#xb1; 0.00315)T + (1.93412E-6 &#xb1; 2.13776E-5)T<sup>2</sup> + (-1.23374E-8 &#xb1; 4.19298E-8)T<sup>3</sup></td>
<td valign="middle" align="center">0.1904</td>
</tr>
<tr>
<td valign="middle" align="center">25&#xb0;C</td>
<td valign="middle" rowspan="3" align="center">Weight (g)</td>
<td valign="middle" align="center">W=(-1.43017E-4 &#xb1; 1.93901E-4)T + (1.29382E-6 &#xb1; 2.27207E-6)T<sup>2</sup> + (-5.59615E-9 &#xb1; 7.81963E-9)T<sup>3</sup></td>
<td valign="middle" align="center">0.9203</td>
</tr>
<tr>
<td valign="middle" align="center">20&#xb0;C</td>
<td valign="middle" align="center">W=(-1.14275E-4 &#xb1; 1.84701E-4)T + (8.80181E-7 &#xb1; 2.16427E-6)T<sup>2</sup> + (-4.71536E-9 &#xb1; 7.44863E-9)T<sup>3</sup></td>
<td valign="middle" align="center">0.9567</td>
</tr>
<tr>
<td valign="middle" align="center">15&#xb0;C</td>
<td valign="middle" align="center">W=(-2.77036E-5 &#xb1; 7.92385E-5)T + (1.26933E-7 &#xb1; 5.37723E-7)T<sup>2</sup> + (-2.74288E-10 &#xb1; 1.05468E-9)T<sup>3</sup></td>
<td valign="middle" align="center">0.2896</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study systematically observed the developmental progress of <italic>P. terraenovae</italic> under constant temperatures of 15 &#xb0;C, 20 &#xb0;C, and 25 &#xb0;C. The results showed that total development time from egg to adult significantly shortened with increasing temperature, exhibiting a typical temperature-dependent developmental pattern, which is consistent with the findings of Mart&#xed;nez-S&#xe1;nchez et&#xa0;al. (<xref ref-type="bibr" rid="B6">6</xref>). This further indicates that temperature is the core environmental factor driving the developmental rate of this species. It is worth noting that the eclosion rate of the 15 &#xb0;C group was higher than those of 20 &#xb0;C and 25 &#xb0;C groups, suggesting that this species canmaintains a relatively good survival ability at lower temperatures. In light of its ecological context of distribution in cold regions and dominance during early spring and late autumn, this result supports the cold tolerance characteristics of <italic>P. terraenovae</italic> at the level of biological performance. The potential mechanism may be attributed to energy redistribution at low temperatures (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>) and accumulating cryoprotectants such as glycerol, glycogen and antifreeze protein to avoid damage from low temperatures (<xref ref-type="bibr" rid="B24">24</xref>). However, these inferences still require further verification through subsequent physiological and molecular experiments.</p>
<p>There are significant differences in temperature sensitivity across different developmental stages. In this study, the hatching period and the third-instar larval period exhibited the strongest response to temperature. This may be because the former is a critical physiological node during the transition from egg to larva, while the latter is the main feeding and rapid weight-gain stage, during which physiological metabolism are more sensitive to temperature (<xref ref-type="bibr" rid="B25">25</xref>). However, the wandering and enclosion stage showed no significant differences among the temperature treatments, which may be related to the metabolic rate in the non-feeding stages (<xref ref-type="bibr" rid="B26">26</xref>). Thses stage rely more on nutrient reserves accumulated during the larval stage for development, with metabolic activities shifting toward tissue remodeling, resulting in significantly reduced temperature dependence (<xref ref-type="bibr" rid="B27">27</xref>). This phenomenon is also consistent with the results observed by Day et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) who found that the wandering larval behavior and body length changes of <italic>Calliphora augur</italic> Fabricius were unaffected by temperature. Therefore, when inferring PMI, attention should be paid to the time information provided by temperature-sensitive stages.</p>
<p>Analysis of growth indicators revealed that larval body length increases in an S-shaped curve with development time and has a high degree of fit, indicating that body length can still be used as an auxiliary quantitative indicator for estimating PMI during the larval stage under constant temperature conditions. This conclusion is consistent with the research direction of temperature-length models for various necrophilic insects. For example, in genera such as Calliphora, Lucilia, and Chrysomya, the length-time curves during the larval feeding stage have good age-indicative properties and are often combined with the isomegalen model for PMI estimation. By comparison, the pupal stage exhibits a &#x201c;weight-priority&#x201d; characteristic. At 25 &#xb0;C and 20 &#xb0;C, the R&#xb2; values for the pupal weight higher than length and width. This discrepancy is likely due to the pupal case restricting dynamic changes in external dimensions, while weight directly reflects internal metabolic consumption (such as water loss and fat decomposition), making it a more accurate representation of physiological development (<xref ref-type="bibr" rid="B29">29</xref>). However, at 15&#xb0;C, the fitting of the three pupal stage growth indicators decreased. This may be due to reduced enzymatic catalytic efficiency and cell division rates at low temperatures (<xref ref-type="bibr" rid="B30">30</xref>), which interfere with normal physiological processes during the pupal stage indicating that low temperature may disturb normal pupal physiological processes, hereby increasing the uncertainty in PMI estimation during the pupal stage. This trend is consistent with reports of developmental disruption in the pupal stage under low temperatures in species such as <italic>Anastrepha grandis</italic> (Macquart, 1846), <italic>Drosophila subobscura</italic> (Collin, 1936) and <italic>Lucilia cuprina</italic> (Wiedemann, 1830) (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Although biological replicate samples were used and the sample size for each replicate (100 eggs) was sufficient, the high variability in the pupation stage may affect the model&#x2019;s accuracy. This suggests that it is more prudent to prioritize larval development data in cold-temperature cases.</p>
<p>To more intuitively demonstrate the low-temperature developmental advantage of <italic>P. terraenovae</italic>, its total developmental lower temperature threshold (D<sub>0</sub>) is compared with that of common necrophilic flies (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). These values are derived from published development model studies. As shown in (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>), the total developmental threshold of <italic>P. terraenovae</italic> is significantly lower than that of several typical warm-season dominant species. Simultaneously, like the cold-season dominant species <italic>Aldrichina. Grahami</italic> (Aldrich, 1930), it also has a low developmental lower limit. In addition, our study also found that this fly can complete its life cycle at 10 &#xb0;C and survive for more than one month at 5&#xb0;C, although the hatching rate is extremely low. In terms of eclosion rate, <italic>P. terraenovae</italic> has a higher eclosion rate at 15&#xb0;C than <italic>Lucilia sericata</italic> (Meigen, 1826) (<xref ref-type="bibr" rid="B35">35</xref>) and our experiments also found that the eclosion rate is highest at 15&#xb0;C. These findings collectively indicate that <italic>P. terraenovae</italic> is more likely to become the dominant pioneer species in cold or early late autumn environments. Consequently, it holds significant value for PMI estimation in low-temperature scenarios.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Developmental threshold temperatures (D<sub>0</sub>, mean &#xb1; SD) of six common necrophilic flies species. Values represent the minimum effective developmental temperature for each species. Data for <italic>P. terraenovae</italic> are from the present study; data for all other species are sourced from cited literature.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-06-1774730-g007.tif">
<alt-text content-type="machine-generated">Bar chart showing D&#x2080; values with standard deviation for six species. Values range from 4.33&#xb0;C to 11.96&#xb0;C. Species names are Lucilia sericata, Boettcherisca peregrina, Chrysomyia megacephala, Chrysomya rufifacies, Protophormia terraenovae, and Aldrichina grahami. Bars are colored in a gradient from blue to orange.</alt-text>
</graphic></fig>
<p>This study also has certain limitations. The experiment was conducted only under constant temperature conditions, failing to simulate temperature fluctuations in natural environments. The temperature gradient setting did not cover the lower temperature range that the species might tolerate. Future research could be carried out under a wider low-temperature gradient (e.g., 5-12 &#xb0;C) and diurnal temperature fluctuation conditions to establish a growth and development model more closely resembling natural environments. Meanwhile, physiological and biochemical assays combined with molecular biological methods should be employed to deeply elucidate its cold tolerance mechanisms, thereby further improving the application data for PMI estimation in cold regions.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study systematically constructed growth data of <italic>P. terraenovae</italic> under constant temperature conditions of 15-25 &#xb0;C, and successfully established visualizable Isomorphen models, Isomegalen models, and effective accumulated temperature models applicable to forensic practice. The research results clarify the temperature-dependent characteristics of the species, reveal the potential of pupal weight changes as an indicator for PMI estimation, and confirm its developmental advantage in low-temperature environments. These models and basic data provide direct and reliable tools to improve the accuracy of PMI estimation based on <italic>P. terraenovae</italic> in cold regions. Future research should focus on model validation under variable temperature conditions, exploration of lower temperature thresholds, and deeper analysis of cold tolerance mechanisms to promote the application and development of forensic entomology in complex environments.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YG: Data curation, Investigation, Visualization, Writing &#x2013; original draft. YN: Data curation, Investigation, Writing &#x2013; original draft. BW: Data curation, Investigation, Writing &#x2013; original draft. ZL: Data curation, Investigation, Writing &#x2013; original draft. MZ: Data curation, Investigation, Writing &#x2013; original draft. JG: Data curation, Investigation, Writing &#x2013; original draft. JC: Conceptualization, Funding acquisition, Methodology, Supervision, Writing &#x2013; review &amp; editing. FM: Conceptualization, Funding acquisition, Methodology, Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
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