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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-26-6213-2026</article-id><title-group><article-title>Measurement report: Age-dependent BVOC emissions in <italic>Eucalyptus urophylla</italic>: a comparison of leaf cuvette and branch chamber measurements</article-title><alt-title>Age-dependent BVOC emissions in <italic>Eucalyptus urophylla</italic></alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" equal-contrib="yes" corresp="no" rid="aff1 aff2">
          <name><surname>Tian</surname><given-names>Xiao</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" equal-contrib="yes" corresp="no" rid="aff1">
          <name><surname>Zeng</surname><given-names>Jianqiang</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Zhang</surname><given-names>Yanli</given-names></name>
          <email>zhang_yl86@gig.ac.cn</email>
        <ext-link>https://orcid.org/0000-0003-0614-2096</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Pang</surname><given-names>Weihua</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Lu</surname><given-names>Yuting</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Ran</surname><given-names>Haofan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Guo</surname><given-names>Hao</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Mu</surname><given-names>Zhaobin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Song</surname><given-names>Wei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Wang</surname><given-names>Xinming</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1982-0928</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>State Key Laboratory of Advanced Environmental Technology and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China</institution>
        </aff><author-comment content-type="econtrib"><p>These authors contributed equally to this work.</p></author-comment>
      </contrib-group>
      <author-notes><corresp id="corr1">Yanli Zhang (zhang_yl86@gig.ac.cn)</corresp></author-notes><pub-date><day>11</day><month>May</month><year>2026</year></pub-date>
      
      <volume>26</volume>
      <issue>9</issue>
      <fpage>6213</fpage><lpage>6221</lpage>
      <history>
        <date date-type="received"><day>7</day><month>July</month><year>2025</year></date>
           <date date-type="rev-request"><day>17</day><month>July</month><year>2025</year></date>
           <date date-type="rev-recd"><day>3</day><month>April</month><year>2026</year></date>
           <date date-type="accepted"><day>27</day><month>April</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Xiao Tian et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026.html">This article is available from https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e177">Biogenic volatile organic compound (BVOC) emission factors (<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) underpin air quality and climate models, yet current databases intermingle data from both greenhouse seedlings and field mature trees and from two enclosure techniques, leaf cuvettes and dynamic branch chambers, whose comparability has rarely been rigorously tested. Here we quantified BVOC emissions from <italic>Eucalyptus urophylla</italic> by pairing the two methods on a statistically representative number of 2-month-old seedlings in the laboratory and 2-year-old in-situ saplings measured at a managed plantations in subtropical China. Leaf-cuvette and branch-chamber determination of isoprene <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> matched within 5 % for both age classes, demonstrating method equivalence. In contrast, tree age exerted a significant impact on both the magnitude and speciation of emissions. Seedlings emitted <inline-formula><mml:math id="M3" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 % more isoprene and were enriched in cyclic monoterpenes like <inline-formula><mml:math id="M4" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pinene and 1,8-cineole, whereas field-grown trees shifted toward highly reactive acyclic monoterpenes, with <inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes accounted for over 85 % of the terpene flux and a double rise in sesquiterpenes. These ontogenetic shifts imply that one-third of the entries in global <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> compilations, which are derived from seedling studies, are likely inappropriate as generic surrogates for natural forest emissions. Our results validate the use of either chamber type for measuring isoprene <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, highlight the need for improved analytical sensitivity before extending this equivalence to terpenes, and call for systematic, large-sample, branch-level measurements of adult trees to produce representative <inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values. Incorporating age-resolved emission factors into models will refine estimates of ozone and secondary organic aerosol formation in fast-growing subtropical plantations and other managed forests worldwide.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42321003</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2022YFC3701103</award-id>
<award-id>2024YFC3714300</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Guangdong Provincial Department of Science and Technology</funding-source>
<award-id>2023B0303000007</award-id>
<award-id>2023B1212060049</award-id>
</award-group>
<award-group id="gs4">
<funding-source>Guangzhou Municipal Science and Technology Bureau</funding-source>
<award-id>202206010057</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e269">Terrestrial vegetation release on the order of <inline-formula><mml:math id="M9" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1000 Tg yr<sup>−1</sup> for biogenic volatile organic compounds (BVOCs), representing <inline-formula><mml:math id="M11" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 90 % of global non-methane VOCs injected to the troposphere (Guenther et al., 1995, 2012). Owing to their high reactivity with atmospheric lifetimes of only minutes to hours (Atkinson and Arey, 2003), BVOCs can strongly modulate the oxidative capacity of the troposphere and drive the production of ozone and secondary organic aerosols (Di Carlo et al., 2004; Peñuelas and Staudt, 2010; Scott et al., 2017; Pfannerstill et al., 2024; Weber et al., 2024). Reliable quantification of these fluxes is therefore essential for assessing their impacts on air quality and climate.</p>
      <p id="d2e298">Current bottom-up BVOC emission inventories rely on species-specific emission factors (<inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) that are applied within models such as the Model of Emissions of Gases and Aerosols from Nature (MEGAN; Guenther et al., 2012, 2020). Inaccurate emission factors are now recognized as a leading source of uncertainty in regional and global estimates of BVOC budgets (Guenther et al., 2012; Zhang et al., 2020; Wang et al., 2023). Decades of enclosure studies produced several widely used databases, like the Sheffield (Hewitt and Street, 1992), UCAR (Wiedinmyer et al., 2004), and most recently, the tropical plant compilation of Mu et al. (2022). However, two methodological and biological issues remain unresolved.</p>
      <p id="d2e312">Both leaf cuvettes and dynamic branch chambers have been used for measuring <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Guenther et al. (1994) suggested, from a literature survey, that isoprene <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with leaf cuvette are approximately 75 % higher than branch-based values, but a rigorous, side-by-side validation on the same trees is still lacking. Whether the two techniques can be used interchangeably is therefore uncertain.</p>
      <p id="d2e337">As for the tree age, approximately one-third of database entries originate from greenhouse or growth-chamber seedlings (Guenther, 2013), yet seedling's physiology differs markedly from that of mature trees. Limited case studies on <italic>Eucalyptus</italic> spp. point to pronounced ontogenetic shifts in both the magnitude and speciation of BVOC emissions (Street et al., 1997; He et al., 2000; Winters et al., 2009).  Meanwhile, considerable uncertainty may result from the potential intraspecific variability and chemo-diversity of BVOC emissions (Loreto et al., 2009; Staudt and Visnadi, 2023; Zeng et al., 2024). Previous investigations, however, employed small sample sizes and heterogenous protocols, leaving the statistical representativeness of age effects largely unconstrained.</p>
      <p id="d2e344">Addressing these gaps requires large-sample, method-controlled measurements that span contrasting developmental stages. Here we report parallel cuvette and branch chamber determination of BVOC emissions from <italic>Eucalyptus urophylla</italic> seedings grown under laboratory conditions (2-month-old) and saplings (2-year-old) measured in situ at a managed plantation in subtropical China. The objectives are to (1) quantitatively test the equivalence of the two chamber types for isoprene and, where detection limits permit, for terpenes; (2) disentangle how tree age influences both emission factors and chemical composition; and (3) assess the implications for constructing representative <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> databases and for simulating ozone and secondary organic aerosol formation in rapidly expanding plantation forests. By combining method inter-comparison with statistically robust sampling across ontogeny, our work provides critical benchmark for future BVOC inventories and modeling frameworks. It should be noted that we only focus on the seedling to sapling transition, using 2-month-old seedlings and 2-year-old field grown saplings as contrasting stages; we do not attempt to represent fully mature trees.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Study sites and plant materials</title>
      <p id="d2e376">Laboratory measurements were performed at the Guangzhou Institute of Geochemistry (GIG, 23.145° N, 113.364° E). Leaf experiments were conducted on 1–3 June 2023, and branch-chamber measurements were conducted on 10–13 June 2023 (7 d separation). Field measurements were carried out in a managed <italic>E. urophylla</italic> plantation at Heshan (22.649° N, 112.904° E), Guangdong province, China. Leaf and branch measurements were performed concurrently on the same days during two campaigns: 11–13 July and 26–31 July 2022. The study region experiences a humid subtropical monsoon climate, with a 30-year mean temperature of 22 °C and annual precipitation of <inline-formula><mml:math id="M16" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1700 mm (Mu et al., 2023; Zeng et al., 2024). As shown in Table 1, two age classes, 2-month-old and 2-year-old, were investigated, with seedlings (15 for branch chamber and 50 for leaf cuvette) measured in laboratory and 2-year-old saplings (26 for branch chamber and 114 for leaf cuvette) measured in situ at the plantation. Seedlings were purchased from a local nursery and measured by both leaf cuvette and dynamic branch chamber. These trees were placed in an open area of GIG and acclimated to the ambient condition for two weeks before measurements; no greenhouse or climate-chamber but outdoor conditions were used. Field trees for leaf cuvette were randomly chosen from <inline-formula><mml:math id="M17" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 8 ha of homogeneous plantation to ensure spatial representativeness, while sunlit, single-layer branches were selectively chosen for dynamic chamber measurements. Both seedlings and saplings were sourced from the same clonal line and exhibited a uniform terpene chemotype, minimizing genotype/chemotype variability. The clonal identity of all seedlings and saplings was confirmed using nursery propagation records and plantation establishment documents. This is also supported by the similar monoterpene composition between stressless saplings and seedlings (detailed discussions see Sect. 3.2.3). All measurements, both in the laboratory and in the field, were conducted between 09:00 and 17:00 local time under sunny conditions, with 33 %, 56 %, 10 % of the samples collected in the morning (09:00–12:00), midday (12:00–15:00), and late afternoon (15:00–17:00), respectively, in the field. The real-world (non-normalized) emission rates of BVOCs by time-of-day bins was provided in Fig. S1. Midday maximum PAR exceeded 1200 <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup> s<sup>−1</sup> during both campaigns (Figs. S2 and S3). Mean daily air temperatures during the campaigns were 31.4 °C (seedling campaign at GIG) and 30.3 °C (Field campaign; Fig. S4).</p>

<table-wrap id="T1"><label>Table 1</label><caption><p id="d2e432">Two age classes of <italic>Eucalyptus urophylla</italic> investigated in this study.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Site</oasis:entry>
         <oasis:entry colname="col2">Laboratory</oasis:entry>
         <oasis:entry colname="col3">Field</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Age class</oasis:entry>
         <oasis:entry colname="col2">2 months</oasis:entry>
         <oasis:entry colname="col3">2 years</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Height (m)</oasis:entry>
         <oasis:entry colname="col2">0.3–0.4</oasis:entry>
         <oasis:entry colname="col3">10–12</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cuvette (no. of replicate)</oasis:entry>
         <oasis:entry colname="col2">50</oasis:entry>
         <oasis:entry colname="col3">114</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Branch chamber (no. of replicate)</oasis:entry>
         <oasis:entry colname="col2">15</oasis:entry>
         <oasis:entry colname="col3">26</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cuvette LMA (g m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">57 <inline-formula><mml:math id="M22" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7</oasis:entry>
         <oasis:entry colname="col3">82 <inline-formula><mml:math id="M23" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Branch-chamber LMA (g m<sup>−2</sup>)</oasis:entry>
         <oasis:entry colname="col2">55 <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8</oasis:entry>
         <oasis:entry colname="col3">78 <inline-formula><mml:math id="M26" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Enclosure measurements</title>
<sec id="Ch1.S2.SS2.SSS1">
  <label>2.2.1</label><title>Leaf cuvette</title>
      <p id="d2e607">Leaf cuvette fluxes were obtained with a LI-6800 portable photosynthesis system (LI-COR, Lincoln, NE, USA) fitted with a 6800-01A fluorometer head (aperture 6 cm<sup>2</sup>, air flow 500 <inline-formula><mml:math id="M28" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol s<sup>−1</sup>). We imposed standard conditions for emission factors (<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>): leaf temperature 30 °C, PAR 1000 <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup> s<sup>−1</sup>, CO<sub>2</sub> 400 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol mol<sup>−1</sup>, and 55 % RH. The LI-6800 maintains closed loop control and continuously records actual leaf temperature and PAR. Because measurements were made at the standard reference conditions, cuvette fluxes equal <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> after correction to leaf dry mass. After 5 min stabilization of photosynthesis, 200 mL min<sup>−1</sup> of outlet air was diverted for 2 min through Tenax TA/Carbograph 5TD adsorbent cartridges (Markes International Ltd, Bridgend, UK) using a dual-channel pump (ZC-QL, Zhejiang Hengda Instrumentation Ltd., Zhejiang, China). Detailed leaf handling, leaf area and dry mass determination are provided in Section S1 and are also described in Zeng et al. (2024, 2025a, b).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <label>2.2.2</label><title>Dynamic branch chamber</title>
      <p id="d2e744">A cylindrical PMMA chamber (<inline-formula><mml:math id="M39" display="inline"><mml:mo lspace="0mm">∅</mml:mo></mml:math></inline-formula> 25 cm <inline-formula><mml:math id="M40" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 28 cm, 13.7 L) internally coated with FEP film was used for branch-level measurements. The charcoal- and KI-scrubbed ambient air (9 L min<sup>−1</sup>) was supplied by a mass-flow controller (Alicat Scientific, Inc., Tucson, AZ, USA) coupled with an oil-free pump (MPU2134-N920-2.08; KNF, Freiburg, Germany), then it was well mixed with PTFE-bladed fans in the chamber (Zeng et al., 2022a, 2025c). For comparability with leaf cuvette measurements, sunlit branches (3–5 m above ground) with <inline-formula><mml:math id="M42" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6–10 leaves were selected, avoiding mutual overlap so that foliage formed a single layer. Branches showing visible self-shading were not sampled. These practices follow our goal of minimizing light heterogeneity within the chamber. When the selected sunlit branches were enclosed; fluxes were allowed to stabilize for 1–2 h before sampling. Outlet air (and inlet blanks) was drawn at 200 mL min<sup>−1</sup> for 10 min by an automatic sampler (JEC921; Jectec Science and Technology, Co., Ltd, Beijing, China) onto the same adsorbent tubes as above. The chromatograms of a representative BVOC sample and its corresponding blank sample of inlet air during the field study was shown in Fig. S5. Concurrent meteorological and radiometric variables were logged continuously (Rotronic HC2A-S RH/T probes; LI-1500 PAR sensor; OMEGA/RKC thermocouples). Specifically, leaf temperature was measured by thermocouples attached on the leaf, while PAR was measured by a LI-1500 PAR sensor placed on the top of the chamber, these parameters were used to calculate the standard emission factors (<inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>). More details about the branch sampling are provided in Section S2 and Zeng et al. (2022a).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Thermal desorption-GC/MS analysis</title>
      <p id="d2e813">Tubes were analyzed within 7 d with a TD-100 system (Markes) coupled to an Agilent 7890 GC-5975 MSD. Primary cartridge desorption was 280 °C, cold-trapping at <inline-formula><mml:math id="M45" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 °C, then desorption at 320 °C. Separation employed an HP-5 MS (30 m <inline-formula><mml:math id="M46" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25 mm <inline-formula><mml:math id="M47" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m) column. The GC oven temperature program was started at 35 °C (3 min), 5 °C min<sup>−1</sup> to 100 °C (1 min), 10 °C min<sup>−1</sup> to 120 °C (12 min), and 20 °C min<sup>−1</sup> to 260 °C (2 min). Identification used authentic standards, while quantification based on calibration curves. Figure S6 shows the calibration curve for <inline-formula><mml:math id="M52" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene (cis- and trans-) as an example. Ocimene-like compounds such as 3,6-dimethyl-1,3,7-octatriene, 3,4-dimethyl-2,4,6-octatriene, and alloocimene were identified by the NIST library and quantified based on <inline-formula><mml:math id="M53" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene. More information about the analysis and quantification of other MTs are given in Section S3 and Zeng et al. (2022a, b).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Calculation of emission rates and emission factors</title>
      <p id="d2e904">For branch data, emission rates (<inline-formula><mml:math id="M54" display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M55" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup>) were calculated as

            <disp-formula id="Ch1.Ex1"><mml:math id="M58" display="block"><mml:mrow><mml:mi>E</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>=</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>F</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">out</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">in</mml:mi></mml:msub></mml:mrow></mml:mfenced></mml:mrow><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">dw</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>

          where <inline-formula><mml:math id="M59" display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> is chamber flow (L h<sup>−1</sup>) and <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">dw</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> the dry leaf mass. Branch chamber fluxes measured under ambient conditions were standardized to 30 °C and 1000 <inline-formula><mml:math id="M62" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>mol m<sup>−2</sup> s<sup>−1</sup> using the MEGAN/Guenther temperature and light response functions with the measured leaf temperature and PAR, yielding <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> directly comparable to cuvette derived values. The temperature- and light-dependent function was applied for light dependent compounds, while a temperature-only function was used for light-independent monoterpenes (<inline-formula><mml:math id="M66" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M67" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.10 K<sup>−1</sup>) and sesquiterpenes (<inline-formula><mml:math id="M69" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M70" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.17 K<sup>−1</sup>). More details about the calculation of emission factors are provided in Sect. S4 and in Zeng et al. (2023).</p>
      <p id="d2e1111">Notably, <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be normalized either to leaf dry mass ( <inline-formula><mml:math id="M73" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup>) or to projected leaf area ( <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<sup>−2</sup> h<sup>−1</sup>). Because leaf mass per area (LMA, g m<sup>−2</sup>) increases with age in <italic>E. urophylla</italic> (Table 1), the two normalizations emphasize different aspects of physiology and scaling (<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>-area <inline-formula><mml:math id="M81" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>-mass <inline-formula><mml:math id="M83" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> LMA). To remove duplication and prevent unit confusion, we only report mass-based <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in the main text and present all area-based values in the Supplement.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Statistical analysis</title>
      <p id="d2e1262">All statistics were performed in Excel 2019. Isoprene and terpene <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> were log-normal, and they were log-transformed before testing. Equality of means between age classes or methodologies was evaluated with Welch's t-test; distributions that failed Shapiro-Wilk normality (<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>) were compared with Mann-Whitney U. Significance was accepted at <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>. Results are reported as mean <inline-formula><mml:math id="M88" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1 SD unless otherwise specified.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Method inter-comparison for isoprene <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></title>
      <p id="d2e1334">Side-by-side measurements of <italic>E. urophylla</italic> seedlings (2 months old) and 2-years-old trees showed that the two dominant enclosure techniques yielded statistically indistinguishable isoprene <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. As shown in Fig. 1, for seedlings measured at GIG, cuvette-derived isoprene <inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> averaged at 102.4 <inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 34.1 <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> (<inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula>) versus 107.7 <inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 34.9 <inline-formula><mml:math id="M98" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> from branch chambers (<inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula>), a non-significant 5 % difference (<inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.61</mml:mn></mml:mrow></mml:math></inline-formula>). In the field, 2-year-old trees exhibited similarly close agreement: 66.9 <inline-formula><mml:math id="M103" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31.4 <inline-formula><mml:math id="M104" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> (<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">114</mml:mn></mml:mrow></mml:math></inline-formula>) from leaf cuvettes and 69.8 <inline-formula><mml:math id="M108" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21.2 <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> (<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">26</mml:mn></mml:mrow></mml:math></inline-formula>) from branch chambers (<inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.57</mml:mn></mml:mrow></mml:math></inline-formula>). A direct test in which the same branch was first sub-sampled leaf-by-leaf and then enclosed intact confirmed parity within analytical uncertainty (Fig. S7).</p>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e1596">Comparison of isoprene <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from leaf cuvettes with those from dynamic branch chambers for both 2-month-old and 2-year-old trees.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026-f01.png"/>

        </fig>

      <p id="d2e1616">Leaf cuvette and dynamic branch chamber are the two most widely employed techniques for measuring plant BVOC emissions (Niinemets et al., 2011). The present study provides the first large-sample validation that leaf cuvette and dynamic branch chamber protocols are interchangeable for isoprene, contradicting the <inline-formula><mml:math id="M115" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 75 % bias inferred from the earlier literature meta-analysis (Guenther et al., 1994). The convergence arises despite distinct air flow regimes (0.75 L min<sup>−1</sup> vs. 9 L min<sup>−1</sup>) and path lengths, implying that adsorptive/ozonolysis losses are negligible for this highly volatile compound. Because branch chambers integrate six to ten leaves per branch, their representativeness is at least as good as that of cuvettes as previously demonstrated for Eucalyptus by Zeng et al. (2024), and they remain advantageous when mature crowns are inaccessible.</p>
      <p id="d2e1651">Establishing methodological equivalence for isoprene enables age effects to be probed with confidence using the more logistically efficient branch chamber dataset (Sect. 3.2). Whether the same holds for lower-volatility monoterpenes and sesquiterpenes remains an open question due to the assessment of method equivalence was precluded by their lower fluxes and the limited air volumes sampled. Because terpene emissions are more sensitive to wall losses and analytical detection limits than isoprene, systematic inter-comparison studies with larger sample volumes and a broader range of plant species are still required.</p>
      <p id="d2e1654">Moreover, the equivalence we observed for isoprene was obtained under sunlit, low LAI branches (<inline-formula><mml:math id="M118" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 6–10 leaves) chosen to limit mutual shading. Larger or denser branches that capture multi-layer foliage can depress within chamber PAR for a subset of leaves and thus bias light dependent fluxes low relative to single leaf cuvettes; in such cases, method differences may not remain negligible. We therefore recommend selecting unshaded branches, documenting within enclosure PAR (or its ratio to ambient), and reporting the number of enclosed leaves and leaf layering as part of QA/QC.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Ontogenetic controls on the magnitude and speciation of BVOC emissions</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>Speciation diversity</title>
      <p id="d2e1679">Dynamic branch chamber measurements revealed 12 BVOC species in 2-month-old seedlings (isoprene, 8 monoterpenes, 3 sesquiterpenes; Fig. S8) versus 17 species in 2-year-old trees (isoprene, 11 monoterpenes, 5 sesquiterpenes; Table S1). Thus, chemical richness increased by <inline-formula><mml:math id="M119" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 % with age, consistent with the view that metabolic complexity develops as trees mature (Satake et al., 2024).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>Emission magnitude</title>
      <p id="d2e1697">Isoprene dominated the flux from both age classes but its standardized <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> declined significantly (<inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula>) from 107.7 <inline-formula><mml:math id="M122" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 34.9 <inline-formula><mml:math id="M123" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> in seedlings to 69.8 <inline-formula><mml:math id="M126" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21.2 <inline-formula><mml:math id="M127" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> in two-year-old trees. When normalized by leaf area, however, the two groups were indistinguishable (Fig. S9a), indicating that the mass-based contrast mainly reflects an increase in leaf mass per area (LMA) with tree age (Fig. S10). Seedlings therefore allocated a larger fraction of assimilated carbon to isoprene (Fig. S9c) despite exhibiting lower net photosynthesis (<inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, Fig. S9b), suggesting a typical growth-defense trade-off of early ontogeny. Consistent with our findings, isoprene <inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for the 1-year-old <italic>E. globulus</italic> was 5-fold higher than that for the 7-year-old individual (Street et al., 1997). Winters et al. (2009) also documented lower isoprene <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in four 10-year-old eucalyptus species compared to their seedlings measured by He et al. (2000).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <label>3.2.3</label><title>Terpene speciation shift</title>
      <p id="d2e1847">Total monoterpene emissions rose nearly 6-fold with tree age (1.09 vs. 6.14 <inline-formula><mml:math id="M133" display="inline"><mml:mi mathvariant="italic">μ</mml:mi></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup>), but the increase was almost entirely due to acyclic <inline-formula><mml:math id="M136" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes, whose <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> leapt from 0.133 <inline-formula><mml:math id="M138" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06 to 5.33 <inline-formula><mml:math id="M139" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.61 <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g g<sup>−1</sup> h<sup>−1</sup> (Fig. 2 and Table S1). By contrast, <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for cyclic <inline-formula><mml:math id="M144" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pinene, limonene, and 1,8-cineole declined by 30 %–65 % (Fig. 2). Consequently, terpene composition shifted from 75 % cyclic (seedlings) to 85 % acyclic (2-year-old trees) (Fig. 2). Sesquiterpenes doubled in absolute terms but remained a minor (<inline-formula><mml:math id="M145" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 1 %) proportion of total BVOCs.</p>

      <fig id="F2"><label>Figure 2</label><caption><p id="d2e1974">Comparison of emission factors <bold>(a)</bold> and compositions <bold>(b, c)</bold> between 2-month-old and 2-year-old trees.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/6213/2026/acp-26-6213-2026-f02.png"/>

          </fig>

      <p id="d2e1989">During the branch experiments, both seedlings and saplings were exposed to high growth temperature conditions, which could lead to significant stress on plant physiology as discussed by Zeng et al. (2025d). This was evidenced by the substantial emissions of typical stress-induced <inline-formula><mml:math id="M146" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene from saplings. However, although seedlings were also subjected to heat stress, they did not exhibit similarly high <inline-formula><mml:math id="M147" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene emissions but dominated by <inline-formula><mml:math id="M148" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pinene and 1,8-cineole, closely resembling those under non-stress saplings measured during the warm dry season (Fig. S11). This indicates that stress-induced gene expression may require time to accumulate, and that seedlings grown in greenhouses, having not experienced environmental stresses, may not adequately represent the emission characteristics of trees in natural field conditions.</p>
      <p id="d2e2014">Such a cyclic-to-acyclic transition has been observed in other <italic>Eucalyputus</italic> species and might be attributed to age-dependent expression of terpene synthesis and to selectively pressures from biotic/abiotic stress in the field (Monson et al., 2021; Pollastri et al., 2021). For example, most previous studies reported that cyclic <inline-formula><mml:math id="M149" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>-pinene and 1,8-cineole were the dominant MTs in stressless lab-grown seedlings (Evans et al., 1982; Guenther et al., 1991; He et al., 2000; Tsui et al., 2009; Malik et al., 2019), whereas acyclic MTs like <inline-formula><mml:math id="M150" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes were generally low or even undetectable. In contrast, most stress-rich field-grown trees could emit large amounts of acyclic <inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes (Street et al., 1997; Nunes and Pio, 2001; Sørensen et al., 2020; Purser et al., 2020, 2021; Nagalingam et al., 2023).</p>
      <p id="d2e2041">Both isoprene and <inline-formula><mml:math id="M152" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes are known to play key roles in plant antioxidant defense. Isoprene helps scavenge reactive oxygen species (ROS) (Jardine et al., 2014), maintain membrane stability (Sharkey and Singsaas, 1995; Pollastri et al., 2019, 2021), and regulate antioxidative processes (Zuo et al., 2019; Monson et al., 2021), whereas the highly reactive <inline-formula><mml:math id="M153" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene may act as an even more efficient, direct antioxidant against ROS. The highly reactive <inline-formula><mml:math id="M154" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes can quench ROS more efficiently than isoprene (Pollastri et al., 2021), providing a plausible advantage for field-grown trees exposed to stronger light, heat, drought, and herbivory.</p>
      <p id="d2e2065">Environmental factors, particularly growth temperature, light availability, and soil moisture/nutrients, can modulate BVOC emissions (Monson et al., 1994; Harley et al., 1994, 1996, 1997; Fall and Wildermuth, 1998; Funk et al., 2006; Guenther et al., 2006, 2012; Yuan et al., 2020). In our study, both campaigns were conducted under clear-sky, peak-summer conditions with comparable ambient temperature and high midday PAR (Figs. S1–3). A simple sensitivity using the MEGAN/Guenther acclimation scheme (Guenther et al., 2012) indicates that, a <inline-formula><mml:math id="M155" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 % change in growth PAR would change standardized <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> by <inline-formula><mml:math id="M157" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 %, and a <inline-formula><mml:math id="M158" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1.1 °C change in growth temperature by <inline-formula><mml:math id="M159" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 11 %. These effects are small relative to the age-related differences reported here, such as <inline-formula><mml:math id="M160" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6-fold increase in total monoterpenes and a <inline-formula><mml:math id="M161" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 40-fold rise in <inline-formula><mml:math id="M162" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> ocimenes from seedlings to saplings (Fig. 2 and Table S1). Nevertheless, because we did not measure soil nutrient or moisture status, parallel experiments under controlled and co-located growth conditions are warranted to fully disentangle ontogeny from environment.</p>
      <p id="d2e2129">It should be noted that the seedlings used here were cultivated trees, where soil properties could be parallel with those in previous seedling-based studies. In contrast, the taller trees measured under field conditions reflect realistic and natural growth conditions. The substantial differences in <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and emission composition between seedlings and saplings underscore that seedling measurements are inappropriate as generic surrogates for natural forest emissions. Despite this, all age contrasts presented here are seedlings vs. saplings; extrapolation to mature trees requires additional in-situ measurements.</p>
      <p id="d2e2143">Notably, we counted the most complete <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> database currently used by the MEGAN model (Wiedinmyer et al., 2004; Guenther et al., 2012), showing that one-third of the publications in this database were based on greenhouse seedlings. Our results show that these data tend to overestimate canopy-scale isoprene fluxes of subtropical eucalyptus plantation and under-represent atmospheric reactivity by excluding large <inline-formula><mml:math id="M165" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimene emissions from these tree canopies. Incorporating age-resolved <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and prioritizing statistically robust and in-situ sampling of branches from adult trees, particularly in rapidly expanding subtropical plantations, will reduce inventory uncertainty and refine predictions of ozone and secondary organic aerosol formation.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d2e2185">Parallel measurements on <italic>E. urophylla</italic> seedlings (2 months) and saplings (2 years) show that leaf cuvettes and dynamic branch chambers yield indistinguishable isoprene <inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> when applied to sunlit, single-layer branches. Age exerts a strong control on speciation: seedlings have higher mass-based isoprene and are enriched in cyclic monoterpenes, whereas saplings exhibit <inline-formula><mml:math id="M168" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6-fold higher total monoterpenes dominated by <inline-formula><mml:math id="M169" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-ocimenes and increased sesquiterpenes. These findings indicate that laboratory-grown seedlings are not reliable proxies for field-grown saplings, and likely not for mature trees either. Despite this, other drivers, particularly soil properties (e.g., nitrogen availability, moisture) were not resolved here and may also influence emissions. This therefore motivates age-stratified and in-situ branch measurements on mature trees under parallel growth conditions to comprehensively probe age effects. Future studies should extend such measurements to other high isoprene genera (e.g. Quercus, Populus) and to tropical species that dominate global BVOC budgets, evaluate method comparability for low-volatility terpenes using larger-volume or adsorption-minimized chambers, and couple physiological measurements with transcriptomics to unravel the molecular basis of the observed metabolic shift from cyclic to acyclic terpenes.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d2e2221">The measurement data used in this study can be available at <ext-link xlink:href="https://doi.org/10.17632/jw8g8gkm5t.1" ext-link-type="DOI">10.17632/jw8g8gkm5t.1</ext-link> (Zeng, 2025).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e2227">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-26-6213-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-26-6213-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e2236">JZ and XT designed and carried out the experiments with the support of WP, YL, HR, ZM, HG, and WS. JZ and XT analyzed the samples in the lab. JZ and XT analyzed the data and prepared the original manuscript. XW and YZ revised the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e2243">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e2249">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e2255">This work is supported by the National Natural Science Foundation of China (42321003 and 42507150), the National Key Research and Development Program (2024YFC3714300), the Postdoctoral Fellowship Program of CPSF (GZB20250107), the Department of Science and Technology of Guangdong (2023B0303000007).</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e2260">This research has been supported by the National Natural Science Foundation of China (42321003 and 42507150), the National Key Research and Development Program of China (2024YFC3714300), the Postdoctoral Fellowship Program of CPSF (GZB20250107), the Department of Science and Technology of Guangdong (grant no. 2023B0303000007).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e2266">This paper was edited by Kelley Barsanti and reviewed by three anonymous referees.</p>
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