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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2021.734531</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Seasonal Volatile Emission Patterns of the Endemic New Zealand Shrub <italic>Dracophyllum subulatum</italic> on the North Island Central Plateau</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Effah</surname> <given-names>Evans</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1392234/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Barrett</surname> <given-names>D. Paul</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Peterson</surname> <given-names>Paul G.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Potter</surname> <given-names>Murray A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/921454/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Holopainen</surname> <given-names>Jarmo K.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/58890/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Clavijo McCormick</surname> <given-names>Andrea</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/460854/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Agriculture and Environment, Massey University</institution>, <addr-line>Palmerston North</addr-line>, <country>New Zealand</country></aff>
<aff id="aff2"><sup>2</sup><institution>Manaaki Whenua - Landcare Research, Massey University</institution>, <addr-line>Palmerston North</addr-line>, <country>New Zealand</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Environmental and Biological Sciences, University of Eastern Finland</institution>, <addr-line>Kuopio</addr-line>, <country>Finland</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Boris Rewald, University of Natural Resources and Life Sciences, Austria</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Rouhallah Sharifi, Razi University, Iran; Ningxiao Li, University of California, Davis, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Evans Effah, <email>e.effah@massey.ac.nz</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>734531</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Effah, Barrett, Peterson, Potter, Holopainen and Clavijo McCormick.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Effah, Barrett, Peterson, Potter, Holopainen and Clavijo McCormick</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p></license>
</permissions>
<abstract>
<p>Volatile organic compounds (VOCs) produced by plants are essential indicators of their physiological response to environmental conditions. But evidence of natural variation in VOC emissions and their contributing factors is still limited, especially for non-cultivated species. Here we explored the natural volatile emissions of <italic>Dracophyllum subulatum</italic> Hook.f., an endemic shrub to the North Island Central Plateau of New Zealand, and determined some environmental factors driving the plant&#x2019;s emissions. Volatile emissions of <italic>D. subulatum</italic> were measured on four separate occasions from December 2017 to September 2018 using the &#x201C;push-pull&#x201D; headspace sampling technique and analyzed using gas chromatography-mass spectrometry (GC-MS). <italic>D. subulatum</italic> was classified based on the volatiles measured on each sampling occasion using linear discriminant analysis (LDA). On each sampling occasion, we also recorded and compared ambient air temperature, herbivory damage, total soil nitrogen (N), available phosphorus (P), potassium (K), and soil moisture content. The relationship between environmental variables that differed significantly between sampling occasions and volatile emissions were estimated using generalized linear models (GLMs). Based on VOCs measured on each sampling occasion, we were able to distinguish different chemical profiles. Overall, we found that total emission and the relative proportions of all major chemical classes released by <italic>D. subulatum</italic> were significantly higher during summer. The GLMs reveal that differences in environmental factors between the four sampling occasions are highly associated with changing emissions. Higher temperatures in summer had a consistently strong positive relationship with emissions, while the impacts of soil moisture content, P and K were variable and depended on the chemical class. These results are discussed, particularly how high temperature (warming) may shape volatile emissions and plants&#x2019; ecology.</p>
</abstract>
<kwd-group>
<kwd>Central Plateau</kwd>
<kwd><italic>Dracophyllum subulatum</italic></kwd>
<kwd>environmental variables</kwd>
<kwd>volatile organic compounds</kwd>
<kwd>warming</kwd>
<kwd>high temperature</kwd>
<kwd>native species</kwd>
</kwd-group><counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="84"/>
<page-count count="12"/>
<word-count count="8931"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>Volatile organic compounds (VOCs) produced by plants are typically lipophilic molecules with high vapor pressure. Hence, they can easily cross membranes and be released into the surrounding environment when diffusion barriers are lacking (<xref ref-type="bibr" rid="B63">Pichersky et al., 2006</xref>). As a result, copious quantities of constitutive and stress-induced plant volatiles are released into the atmosphere. Consequent to their release, VOCs act as critical mediators for within plant, between plants, plant-insect and plant-microbe communication (<xref ref-type="bibr" rid="B30">Holopainen, 2004</xref>; <xref ref-type="bibr" rid="B18">Dudareva et al., 2006</xref>; <xref ref-type="bibr" rid="B29">Heil, 2010</xref>; <xref ref-type="bibr" rid="B56">Ninkovic et al., 2020</xref>), which play a key role in shaping plant communities (<xref ref-type="bibr" rid="B37">Kegge and Pierik, 2010</xref>; <xref ref-type="bibr" rid="B24">Effah et al., 2019</xref>).</p>
<p>The composition of volatile bouquets is species-specific (<xref ref-type="bibr" rid="B2">Bracho-Nunez et al., 2011</xref>; <xref ref-type="bibr" rid="B49">Malik et al., 2018</xref>) yet influenced by biotic and abiotic environmental variables (<xref ref-type="bibr" rid="B31">Holopainen and Gershenzon, 2010</xref>; <xref ref-type="bibr" rid="B7">Clavijo McCormick, 2016</xref>; <xref ref-type="bibr" rid="B14">Copolovici and Niinemets, 2016</xref>). Herbivory has frequently been linked to increased emissions of terpenoids (<xref ref-type="bibr" rid="B9">Clavijo McCormick et al., 2019</xref>; <xref ref-type="bibr" rid="B20">Effah et al., 2020d</xref>) and lipoxygenase (LOX) products that account for over 50% of damage-induced volatiles (<xref ref-type="bibr" rid="B30">Holopainen, 2004</xref>). Damage-induced volatiles reduce herbivore loads and increase resistance to future attacks in natural systems (<xref ref-type="bibr" rid="B38">Kessler and Baldwin, 2001</xref>; <xref ref-type="bibr" rid="B39">Kessler et al., 2006</xref>; <xref ref-type="bibr" rid="B32">Hu et al., 2019</xref>). However, VOC emissions in response to herbivory can vary depending on the attacker&#x2019;s density and identity, season, and the plant&#x2019;s phenology (<xref ref-type="bibr" rid="B10">Clavijo McCormick et al., 2012</xref>, <xref ref-type="bibr" rid="B8">2014</xref>; <xref ref-type="bibr" rid="B20">Effah et al., 2020d</xref>).</p>
<p>Belowground components like soil moisture and nutrients also have a strong influence on plant volatile emissions. However, the response of plants to water availability differs considerably between species. For instance, some plants release more VOCs in response to drought (<xref ref-type="bibr" rid="B13">Copolovici et al., 2014</xref>) while others significantly reduce their emissions (<xref ref-type="bibr" rid="B44">Lavoir et al., 2009</xref>), and outcomes are even more ambiguous for prolonged or different drought intensities (<xref ref-type="bibr" rid="B81">Wu et al., 2015</xref>; <xref ref-type="bibr" rid="B60">Pagadala Damodaram et al., 2021</xref>). Similarly, the impact of soil nutrients on VOC emissions depends on the nature of chemical compound but also plant species-specific and may even vary for different types of nutrients (<xref ref-type="bibr" rid="B6">Chen et al., 2008</xref>; <xref ref-type="bibr" rid="B31">Holopainen and Gershenzon, 2010</xref>; <xref ref-type="bibr" rid="B21">Effah et al., 2020a</xref>,<xref ref-type="bibr" rid="B22">c</xref>).</p>
<p>In contrast, studies investigating relationships between temperature and plant volatile emissions have shown more consistent results, with most demonstrating a strong positive relationship between high temperature (warming) and VOC emissions (<xref ref-type="bibr" rid="B41">Kramsh&#x00F8;j et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Lindwall et al., 2016</xref>; <xref ref-type="bibr" rid="B75">Tiiva et al., 2017</xref>; <xref ref-type="bibr" rid="B22">Effah et al., 2020c</xref>; <xref ref-type="bibr" rid="B66">Rinnan et al., 2020</xref>). This relationship can be explained by the direct effect of temperature on enzyme activities, biosynthetic pathways, stomatal conductance, and physicochemical properties of compounds; and indirectly through antagonistic effects on other variables like drought and plant phenology (<xref ref-type="bibr" rid="B62">Pe&#x00F1;uelas and Staudt, 2010</xref>; <xref ref-type="bibr" rid="B65">Possell and Loreto, 2013</xref>).</p>
<p>In nature, environmental factors, including temperature, soil nutrients, and herbivore loads, fluctuate between seasons (<xref ref-type="bibr" rid="B71">Shiojiri and Karban, 2008</xref>; <xref ref-type="bibr" rid="B57">Omer et al., 2018</xref>; <xref ref-type="bibr" rid="B22">Effah et al., 2020c</xref>), which often correspond to changes in plants&#x2019; physiological status. Therefore, measuring VOCs can be a good indicator of plant responses to environmental changes associated with different seasons and provide valuable information about how plant communication changes over time. This is increasingly important since most of these environmental parameters are changing globally due to climate change (<xref ref-type="bibr" rid="B12">Collins et al., 2013</xref>; <xref ref-type="bibr" rid="B59">Pachauri et al., 2014</xref>). However, information about how these climate components influence plant volatile emissions, particularly for endemic plant species, is still limited. Such information is critical to predicting alterations in plant volatiles&#x2019; ecological roles, their interference with other atmospheric processes such as cloud formation and reacting with O<sub>3</sub>, and will increase our understanding of the impact of climate change on plant communication networks.</p>
<p>Here, we explored seasonal VOC emission by the New Zealand native plant <italic>Dracophyllum subulatum</italic> Hook.f., (Ericaceae). This woody shrub is endemic to the North Island of New Zealand and an archetypal species of the frost flats found on the North Island Central Plateau that thrives in the cool climate and infertile volcanic soils (<xref ref-type="bibr" rid="B73">Smale, 1990</xref>; <xref ref-type="bibr" rid="B74">Smale et al., 2011</xref>). This evergreen plant typically grows up to 0.3&#x2013;2.0 m tall and has paniculate inflorescence. The adult narrow grass-like leaves are 10&#x2013;48 mm long (<xref ref-type="fig" rid="F1">Figure 1</xref>) and have stomata only present on the abaxial surface. <italic>D. subulatum</italic> has 2&#x2013;6 inflorescences, and its tiny reticulate seeds are dispersed by wind (<xref ref-type="bibr" rid="B78">Venter, 2009</xref>; <xref ref-type="bibr" rid="B16">de Lange, 2021</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Images of part of the sampling location <bold>(A)</bold>, <italic>Dracophyllum subulatum</italic> plant <bold>(B)</bold>, and volatile collection procedure <bold>(C)</bold>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g001.tif"/>
</fig>
<p>Unfortunately, the occurrence of <italic>D. subulatum</italic> in this region has been reduced considerably by conversion to pasture, the planting of exotic invasive conifers and invasion by aggressive alien weeds such as <italic>Calluna vulgaris</italic> and <italic>Cytisus scoparius</italic> (<xref ref-type="bibr" rid="B5">Chapman and Bannister, 1990</xref>; <xref ref-type="bibr" rid="B3">Buddenhagen, 2000</xref>; <xref ref-type="bibr" rid="B72">Smale and Fitzgerald, 2004</xref>), which also impact the arthropod diversity associated with this plant (<xref ref-type="bibr" rid="B23">Effah et al., 2020b</xref>). Nevertheless, <italic>D. subulatum</italic> spp. are an important component of the unique New Zealand Flora, having associations with native fauna (<xref ref-type="bibr" rid="B19">Eagle, 2006</xref>). The plant retains its foliage throughout the year and has a broad flowering and fruiting period (<xref ref-type="bibr" rid="B16">de Lange, 2021</xref>), serving as a food source for various animals.</p>
<p>Previous studies on the ecology of <italic>D. subulatum</italic> demonstrate that the plant is resilient to fire and even suggest that occasional fires in the past bolstered its dominance by initiating new populations (<xref ref-type="bibr" rid="B73">Smale, 1990</xref>; <xref ref-type="bibr" rid="B72">Smale and Fitzgerald, 2004</xref>; <xref ref-type="bibr" rid="B74">Smale et al., 2011</xref>). <italic>Dracophyllum</italic> species are highly flammable and popularly referred to as &#x201C;turpentine shrub&#x201D; (<xref ref-type="bibr" rid="B74">Smale et al., 2011</xref>; <xref ref-type="bibr" rid="B15">Cui et al., 2020</xref>). Turpentine is composed of terpenes, with monoterpenes &#x03B1;- and &#x03B2;-pinenes being the main components (<xref ref-type="bibr" rid="B50">Mercier et al., 2009</xref>). The plant, therefore, likely produces other several secondary compounds that, along with terpenes, contribute to its flammability.</p>
<p>This study aimed to investigate the VOCs emitted by <italic>D. subulatum</italic> and explore the factors driving their emissions in nature. We measured the emissions of <italic>D. subulatum</italic> at different sites on the North Islands&#x2019; Central Plateau. VOCs were measured on four different occasions from December 2017 to September 2018 over several seasons. On each sampling occasion, we also collected information about biotic (herbivore damage) and abiotic factors (ambient temperature, soil moisture, and soil nutrients; N, P, K) and determined their relationship with the plant&#x2019;s volatile emissions.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Area and Experimental Procedure</title>
<p>The study was conducted on the Central Plateau of the North Island, New Zealand. This sub-alpine area has a cool climate, with low fertility volcanic ash soils, which support a relatively homogenous secondary successional shrubland plant community (<xref ref-type="bibr" rid="B45">Leathwick and Mitchell, 1992</xref>; <xref ref-type="bibr" rid="B68">Rogers, 1994</xref>). Some common plants in this region include natives like <italic>Chionochloa rubra</italic>, <italic>Leptospermum scoparium</italic>, <italic>D. subulatum</italic>, and introduced plants such as <italic>C. vulgaris</italic> and <italic>C. scoparius</italic> (<xref ref-type="bibr" rid="B5">Chapman and Bannister, 1990</xref>; <xref ref-type="bibr" rid="B68">Rogers, 1994</xref>; <xref ref-type="bibr" rid="B3">Buddenhagen, 2000</xref>). For this study, we selected four sites in the Waiouru Military Training Area, which lies within the Central Plateau. These sites, which lay along the Desert Road, were at high altitudes and had a natural population of <italic>D. subulatum</italic> occurring with other plants. For instance, the sites were <italic>D. subulatum</italic> dominated or a mix of predominant <italic>D. subulatum</italic> with either <italic>L. scoparius, C. vulgaris</italic> or <italic>C. cytisus</italic> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). We visually inspected target <italic>D. subulatum</italic> to ensure that they were of similar size and growth stage. At each location, volatile emissions of selected <italic>D. subulatum</italic> plants were measured, and data for some environmental parameters known to influence plant volatile emissions (<xref ref-type="bibr" rid="B31">Holopainen and Gershenzon, 2010</xref>; <xref ref-type="bibr" rid="B7">Clavijo McCormick, 2016</xref>; <xref ref-type="bibr" rid="B22">Effah et al., 2020c</xref>) were also collected. We collected data on four separate occasions from December 2017 to September 2018, covering early summer (ES) (5 &#x2013; 13 December 2017), late summer (LS) (15 &#x2013; 26 February 2018), late autumn (LA) (1 May &#x2013; 1 June 2018), and winter (W) (26 August &#x2013; 11 September 2018).</p>
</sec>
<sec id="S2.SS2">
<title>Measuring <italic>Dracophyllum subulatum</italic> Volatile Emissions</title>
<p>The aboveground volatiles emitted by <italic>D. subulatum</italic> was collected by enclosing a portion of foliage in new oven bags (AWZ products) during each sampling occasion (<xref ref-type="fig" rid="F1">Figure 1</xref>). A portable volatile collection system (PVAS22; Volatile Assay Systems, Rensselaer, NY, United States) connected with PTFE tubes was used to pump carbon-filtered air into the bags (0.85 L min<sup>&#x2013;1</sup>) and simultaneously pull air out (0.80 L min<sup>&#x2013;1</sup>) through volatile collection traps containing 30 mg HayeSep Q adsorbent (Volatile Assay Systems, Rensselaer, NY, United States). Volatiles of each plant were collected for 2 h, and foliage enclosed in oven bags was excised after VOC sampling, oven-dried (60&#x00B0;C for 72 h) and used to quantify emissions per dry weight (DW) (g). VOCs were collected on dry and sunny days after 9:30 am and before sunset during each sampling occasion. We reduced the bias of sampling time by randomly collecting samples simultaneously from each site and pooled them for the final analysis.</p>
<p>After sampling, the volatile collection traps were wrapped with aluminum foil and stored in a portable cooler for transport. All samples were eluted within 24 h. Volatile compounds were eluted from collection traps with 200 &#x03BC;L of 95% hexane with 10 ng/mL nonyl acetate (Sigma Aldrich, Buchs, Switzerland) added as an internal standard. The collected samples were analyzed using gas chromatography-mass spectrometry (QP2010; GCMS Solution version 2.70, Shimadzu Corporations, Kyoto, Japan), with a 30 m &#x00D7; 250 &#x03BC;m &#x00D7; 0.25 &#x03BC;m TG-5MS capillary column (Thermo Fisher Scientific, Waltham, MA, United States). Helium was the carrier gas and supplied at 53.5 kPa pressure, total flow 14.0 mL/min, linear velocity 36.3 cm/s and purge flow 3.0 mL/min. The temperature programme was: initial oven temperature of 50&#x00B0;C held for 3 min, then increased to 95&#x00B0;C at a rate of 5&#x00B0;C/min and then 15&#x00B0;C/min to 240&#x00B0;C. Using the gas chromatography-mass spectrometry (GC-MS) postrun analysis software supplied by Shimadzu Corporation, compounds were identified by comparing target spectra to the mass spectra library from the National Institute of Standards and Technology (NIST) and confirmed using commercial standards, when available. Chromatographic analyses were performed in scan mode and peaks quantified relative to the internal standard, then divided by the DW of enclosed foliage and sampling time (h) to estimate emissions per DW per hour. We collected compounds in the air of oven bags without plant (blanks) at each season and excluded these compounds from the data. VOCs were measured from the same <italic>D. subulatum</italic> plants in each season.</p>
</sec>
<sec id="S2.SS3">
<title>Measuring Visible Herbivore Damage on <italic>Dracophyllum subulatum</italic></title>
<p>Herbivore damage on foliage enclosed in oven bags during volatile collection was examined using a handheld magnifying glass before oven-drying. Damage marks were counted and divided by the DW of foliage as described by <xref ref-type="bibr" rid="B21">Effah et al. (2020a)</xref>.</p>
</sec>
<sec id="S2.SS4">
<title>Measurement of Abiotic Environmental Variables</title>
<p>Soil properties were determined by collecting and homogenizing 20 soil cores (15 cm deep &#x00D7; 3 cm diameter) from each of the four sites (replicates) on each sampling occasion. Soil moisture content was estimated gravimetrically and expressed as a percentage. Total nitrogen (N), available phosphorus (P) and potassium (K) were measured by a commercial laboratory as described by <xref ref-type="bibr" rid="B21">Effah et al. (2020a)</xref>.</p>
<p>During each sampling occasion, ambient air temperature at each site was recorded by installing temperature data loggers (Tinytag, Gemini) 50 cm above ground level. Loggers were installed 10 days before the commencement of volatile collection and retrieved on the last sampling day.</p>
</sec>
<sec id="S2.SS5">
<title>Data Analysis</title>
<p>The relative proportions of major chemical classes, total volatile emissions and environmental variables were compared between sampling occasions using the Kruskal&#x2013;Wallis test and, when significant, followed by the Mann Whitney test for pairwise comparisons.</p>
<p>We used linear discriminant analysis (LDA) to classify <italic>D. subulatum</italic> based on the plant&#x2019;s emissions on each sampling occasion, and the quality of separation was estimated using Wilk&#x2019;s lambda (Wilks&#x2019; &#x039B;). LDA was performed with the <italic>Mass package</italic> (<xref ref-type="bibr" rid="B67">Ripley et al., 2013</xref>) based on log-transformed (log10x + 1) data of individual volatile compounds identified.</p>
<p>The relationship between measured environmental variables and major chemical classes produced by <italic>D. subulatum</italic> was determined using Bayesian generalized linear models (GLMs) with normal likelihood and assuming priors were Gaussian distributed. Chemical classes were response variables, while environmental variables that differed significantly between seasons were used as predictors. All predictor variables were z-scored standardized before modeling. Models were performed using the <italic>rstanarm package</italic> with the default weakly informative priors (<xref ref-type="bibr" rid="B26">Goodrich et al., 2018</xref>; <xref ref-type="bibr" rid="B52">Muth et al., 2018</xref>). Each model was run for 1,00,000 iterations, with 10 thinning and 3 chains.</p>
<p>All statistical analyses were performed with R version 3.6.2.</p>
</sec>
</sec>
<sec sec-type="results" id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Volatile Emissions on Four Sampling Occasions</title>
<p>Forty-six volatile compounds were abundant in the headspace of <italic>D. subulatum</italic>. Most of the identified compounds were sesquiterpenes (39.13%), monoterpenes (19.57%), and fatty acid derivatives (15.22%), while aldehydes, other esters, and other alcohols constituted the remaining proportion (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>List of volatile compounds identified from the air surrounding enclosed <italic>Dracophyllum subulatum</italic> foliage. Compounds grouped by their major chemical classes.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Code</td>
<td valign="top" align="left">Compound</td>
<td valign="top" align="left">Code</td>
<td valign="top" align="left">Compound</td>
<td valign="top" align="left">Code</td>
<td valign="top" align="left">Compound</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left"><bold>Fatty acid derivatives</bold></td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Sesquiterpenes</bold></td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Other esters</bold></td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Hexyl acetate</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">(<italic>E</italic>)-&#x03B1;-bergamotene</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">3-methyl-1-butanol acetate</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Hexanol</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">(<italic>E</italic>)-&#x03B2;-caryophyllene<sup>i</sup></td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">Ethyl hexanoate</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">(<italic>E</italic>)-2-hexenal</td>
<td valign="top" align="left">19</td>
<td valign="top" align="left">Aromadendrene</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">Ethyl octanoate</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">(<italic>E</italic>)-2-hexenyl acetate</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">Copaene</td>
<td valign="top" align="left">38</td>
<td valign="top" align="left">Hexyl 2-methylbutyrate</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">(<italic>Z</italic>)-2-hexenyl acetate</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">Eremophilene</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">Phenethyl acetate</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">(<italic>Z</italic>)-3-hexenyl acetate<sup>i</sup></td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">Germacrene D</td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">(<italic>Z</italic>)-3-hexenol<sup>i</sup></td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">Humulene<sup>i</sup></td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Aldehydes</bold></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="left">24</td>
<td valign="top" align="left">Isoledene</td>
<td valign="top" align="left">40</td>
<td valign="top" align="left">Decanal</td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Monoterpenoids</bold></td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">Valencene</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">Dodecanal</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">(<italic>Z</italic>)-&#x03B2;-ocimene</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">Zingiberene</td>
<td valign="top" align="left">42</td>
<td valign="top" align="left">Heptanal</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Lemonol</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">&#x03B1;-amorphene</td>
<td valign="top" align="left">43</td>
<td valign="top" align="left">Nonanal</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Limonene<sup>i</sup></td>
<td valign="top" align="left">28</td>
<td valign="top" align="left">&#x03B1;-bourbonene</td>
<td valign="top" align="left">44</td>
<td valign="top" align="left">Octanal</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="left">Linalool<sup>i</sup></td>
<td valign="top" align="left">29</td>
<td valign="top" align="left">&#x03B1;-cubebene</td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="left">Linalyl acetate</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">(<italic>E</italic>, <italic>E</italic>)-&#x03B1;-farnesene</td>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Other alcohols</bold></td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Perillene</td>
<td valign="top" align="left">31</td>
<td valign="top" align="left">&#x03B1;-panasinsene</td>
<td valign="top" align="left">45</td>
<td valign="top" align="left">Non-anol</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="left">Sabinene</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">&#x03B2;-cubebene</td>
<td valign="top" align="left">46</td>
<td valign="top" align="left">Octanol</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="left">&#x03B1;-pinene<sup>i</sup></td>
<td valign="top" align="left">33</td>
<td valign="top" align="left">&#x03B3;-cadinene</td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="left">&#x03B2;-pinene<sup>i</sup></td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">&#x03B4;-cadinene</td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic><sup><italic>i</italic></sup>Compounds verified by authentic standards.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Some compounds were found only on a given sampling occasion, whereas others were measured from multiple occasions. For example, hexanol, lemonol, sabinene, ethyl hexanoate, ethyl octanoate, and hexyl 2-methylbutyrate were found only in ES, whereas perillene was only identified in LS. Other compounds were found on two or more sampling occasions (<xref ref-type="fig" rid="F2">Figure 2A</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). Overall, volatile emissions by <italic>D. subulatum</italic> were significantly higher during summer sampling compared with autumn and winter sampling (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 69.90, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001, <xref ref-type="fig" rid="F2">Figure 2B</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>(A)</bold> Volatile compounds identified in the headspace of <italic>D. subulatum</italic> on sampling occasions. Numbers in the chart represent the codes assigned to compounds in <xref ref-type="table" rid="T1">Table 1</xref>. <bold>(B)</bold> Comparison of total volatile emissions of <italic>D. subulatum</italic> between the four sampling occasions (<italic>n</italic> = 25). Bars show log-transformed mean &#x00B1; SE emissions. Different letters indicate significant differences between groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g002.tif"/>
</fig>
<p>Using LDA, <italic>D. subulatum</italic> was classified based on the forty-six volatile compounds identified from the plant. The results showed a significant separation of groups across sampling occasions (Wilks&#x2019; &#x039B; = 0.0005, <italic>F</italic><sub>3</sub>,<sub>96</sub> = 13.30, and <italic>P</italic> &#x003C; 0.001). Emissions in summer were separated from autumn and winter in the first two linear discriminants, which accounted for 95.49 and 4.25% of the observed variance between the groups (<xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Linear discriminant analysis (LDA) based on the volatile compounds identified from <italic>D. subulatum</italic> on four different sampling occasions. Ellipse displaying 99% confidence interval (<italic>n</italic> = 25).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g003.tif"/>
</fig>
<p>Volatile compounds measured from <italic>D. subulatum</italic> were grouped into major chemical classes and their relative proportions compared between the four sampling occasions (<xref ref-type="fig" rid="F4">Figure 4</xref>). The results showed significant differences in total monoterpenoids (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 49.60, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), sesquiterpenes (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 50.13, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), fatty acid derivatives (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 65.14, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), aldehydes (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 45.68, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), other esters (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 89.50, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), and other alcohols (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 26.90, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Comparison of major chemical classes identified from <italic>D. subulatum</italic> in early summer (ES), late summer (LS), late autumn (LA), and winter (W). Bars show log-transformed mean &#x00B1; SE emissions. Different letters indicate significant differences between groups (<italic>n</italic> = 25).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Comparison of Measured Environmental Variables</title>
<p>We measured some biotic and abiotic variables at the sites and compared them between the four sampling occasions (<xref ref-type="fig" rid="F5">Figure 5</xref>). There was a significant difference in ambient temperature (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 15,144, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), soil moisture content (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 19.86, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), available phosphorus (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 45.49, <italic>df</italic> = 3, and <italic>P</italic> &#x003C; 0.001), and potassium (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 15.69, <italic>df</italic> = 3, and <italic>P</italic> = 0.001). Compared to other sampling occasions, herbivore damage on <italic>D. subulatum</italic> was slightly higher in LS but the difference was not significant (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 2.054, <italic>df</italic> = 3, and <italic>P</italic> = 0.561), whereas total soil nitrogen was not significantly different between sampling occasions (Kruskal&#x2013;Wallis; <italic>X</italic><sup>2</sup> = 6.083, <italic>df</italic> = 3, and <italic>P</italic> = 0.108, <xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Comparison of measured environmental variables between ES, LS, LA, and W. Bars show mean &#x00B1; SE of measured variables. Different letters indicate significant differences between groups.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g005.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Influence of Environmental Variables on Volatile Production</title>
<p>Bayesian GLMs with various major chemical classes as response variables (<xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="table" rid="T1">Table 1</xref>) and temperature, soil water content, phosphorus and potassium as predictors were used to elucidate the relationship between environmental factors and the production of <italic>D. subulatum</italic> volatiles. We selected these predictors since they varied significantly between the four sampling seasons (<xref ref-type="fig" rid="F5">Figure 5</xref>). The results showed a consistently strong positive relationship between temperature and the production of all the major chemical classes. However, the relationship between soil moisture content, phosphorus and potassium was variable and depended on chemical classes (<xref ref-type="fig" rid="F6">Figure 6</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). Soil moisture content had a negative relationship with aldehydes, other esters and sesquiterpenes, while monoterpenoids had a weak positive association with this parameter. Phosphorus was positively associated with other esters, monoterpenoids and sesquiterpenes but was negatively related to other alcohols. Potassium also had a positive relationship with other esters, aldehydes, and fatty acid derivatives but was negatively associated with monoterpenoids and sesquiterpenes (<xref ref-type="fig" rid="F6">Figure 6</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Relationship between environmental variables and major chemical classes. Bell shapes indicate the distribution of covariates (predictors) draws after the Markov chain Monte Carlo (MCMC) simulations. Distribution that is fully below or above the reference line on zero indicates a strong, consistent relationship, and colors (red or blue) show the direction of the relationship (either positive or negative).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-12-734531-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>Our findings show that <italic>D. subulatum</italic> Hook. f. is rich in terpenoids, including &#x03B1;- and &#x03B2;-pinenes, which may contribute to the popular generic name of &#x201C;turpentine shrub&#x201D; and its high flammability (<xref ref-type="bibr" rid="B74">Smale et al., 2011</xref>). Information about volatile storage and secretory structures such as glandular trichomes and resin ducts in <italic>D. subulatum</italic> is scarce. However, the enormous amount of terpenes observed in our study and the plant&#x2019;s high flammability, as reported earlier, are typical of terpene-storing species (<xref ref-type="bibr" rid="B48">Llusi&#x00E0; et al., 2006</xref>; <xref ref-type="bibr" rid="B61">Pausas et al., 2016</xref>; <xref ref-type="bibr" rid="B17">Della Rocca et al., 2017</xref>). Our results also reveal a clear seasonal pattern in VOC emissions, with total emissions ranging from 22.27 to 545.75 ng gDW<sup>&#x2013;1</sup> h<sup>&#x2013;1</sup> during winter and summer seasons, respectively. The findings further demonstrate that several environmental variables, including ambient temperature, soil water content, P and K availability, differ between sampling occasions, corresponding with the observed variable emissions. We acknowledge that plant phenology can influence volatile emissions, too, and suggest future studies to explore the phenology of the plant in relation to its volatile emission. Unfortunately, <italic>D. subulatum</italic>&#x2019;s phenology is poorly understood, but it is known to retain its foliage through the winter and have broad flowering and fruiting periods (<xref ref-type="bibr" rid="B16">de Lange, 2021</xref>). Therefore, we will focus on the effect of environmental variables.</p>
<p>Ambient temperature was significantly higher during the summer months and corresponded with lower soil moisture content (<xref ref-type="fig" rid="F5">Figure 5</xref>). This was also true when comparison was made separately for night- and daytime temperatures (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 2</xref>). Temperature had a consistently strong positive relationship with the production of monoterpenoids, sesquiterpenes, fatty acid derivatives, aldehydes, other esters, and alcohols, reflecting higher amounts of all chemical classes during summer. This is consistent with previous reports showing increased plant volatile emissions in response to elevated temperature (warming). Examples include strong increasing effects of warming on terpenoids and other VOCs emission from Arctic ecosystems (<xref ref-type="bibr" rid="B66">Rinnan et al., 2020</xref>), stimulation of monoterpenes by night-time warming in heath ecosystems (<xref ref-type="bibr" rid="B75">Tiiva et al., 2017</xref>), and increased emissions of major volatile classes by the <italic>L. scoparium</italic> in association with high temperatures (<xref ref-type="bibr" rid="B22">Effah et al., 2020c</xref>). Other authors (e.g., <xref ref-type="bibr" rid="B27">Gouinguen&#x00E9; and Turlings, 2002</xref>; <xref ref-type="bibr" rid="B40">Kivim&#x00E4;enp&#x00E4;&#x00E4; et al., 2016</xref>; <xref ref-type="bibr" rid="B41">Kramsh&#x00F8;j et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Lindwall et al., 2016</xref>) have also reported positive effects of higher temperatures on VOC emissions.</p>
<p>Although emissions typically correlate positively with temperature, there may be a threshold at which emissions will decline. For instance, <xref ref-type="bibr" rid="B27">Gouinguen&#x00E9; and Turlings (2002)</xref> found that total VOCs emissions of <italic>Zea mays</italic> decreased when temperature was increased from 27 to 37&#x00B0;C. Analogously, heat stress caused massive emissions from <italic>Nicotiana tabacum</italic> at temperatures 52&#x2013;54&#x00B0;C, but a decline in emissions at 55&#x00B0;C (<xref ref-type="bibr" rid="B76">Turan et al., 2019</xref>). Temperature, therefore, can have varied effects on VOC emissions, as summarized below.</p>
<p>Elevated temperature stimulates both gross and net plant primary productivity, which coincides with augmented isoprene emissions as simulated by the photosynthetic-based isoprene scheme (<xref ref-type="bibr" rid="B82">Yue et al., 2015</xref>). This implies that temperature can regulate the availability of substrates required for VOCs synthesis. Photosynthetic products like pyruvate and glyceraldehyde-3-phosphate supply energy for the formation of isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP) from which isoprene and terpenes originate <italic>via</italic> the 2-C-methyl-D-erythritol 4-phosphate (MEP) and mevalonate (MVA) pathways (<xref ref-type="bibr" rid="B18">Dudareva et al., 2006</xref>). This makes photosynthetic products the main constraints for the production of volatile compounds <italic>via</italic> these pathways, and several studies have found a positive correlation between gross photosynthetic capacity and isoprene emission (<xref ref-type="bibr" rid="B42">Kuhn et al., 2004</xref>; <xref ref-type="bibr" rid="B64">Possell et al., 2004</xref>; <xref ref-type="bibr" rid="B43">Lahr et al., 2015</xref>).</p>
<p>High temperatures also directly affect biosynthetic enzymes and the expression of their associated VOCs regulatory genes, thus impacting emissions. For example, the isoprene synthase (IspS) activity responded strongly to temperature, with exponentially increasing activity between 15 and 40&#x00B0;C. IspS activity reached an optimum at 50&#x00B0;C and correlated strongly with VOC emission from <italic>Quercus robur</italic> (<xref ref-type="bibr" rid="B46">Lehning et al., 1999</xref>). Similarly, heat stress strongly induced IspS activity in <italic>Populus alba</italic> (<xref ref-type="bibr" rid="B69">Sasaki et al., 2005</xref>) and transgenic <italic>Arabidopsis thaliana</italic> plants (<xref ref-type="bibr" rid="B70">Sasaki et al., 2007</xref>), corresponding with higher emission levels. However, VOCs regulation by enzyme activities and related gene expressions is a complicated mechanism (<xref ref-type="bibr" rid="B35">Ibrahim et al., 2010</xref>) and could be species and compound dependant. For example, increasing night-time temperature led to variable expressions of the genes 1-deoxy-D-xylulose 5-phosphate reductoisomerase (DXR), 1-deoxy-D-xylulose 5-phosphate synthase (DXS), IPP, and hydroxymethylglutaryl CoA reductase in <italic>Betula pendula</italic> and <italic>Populus tremula</italic>, which coincided with the differences in volatile emissions (<xref ref-type="bibr" rid="B35">Ibrahim et al., 2010</xref>). Both day and night-time temperatures were significantly different between the sampling occasions in our study (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 2</xref>) and could relate to the observed emissions.</p>
<p>Elevated temperature is linked to increased stomatal conductance (<xref ref-type="bibr" rid="B77">Urban et al., 2017</xref>) and can directly affect the diffusion rate of volatile compounds at a given time. Stomatal opening is expected to be accompanied by large bursts of emissions, mainly from storage pools (<xref ref-type="bibr" rid="B55">Niinemets et al., 2002</xref>; <xref ref-type="bibr" rid="B34">H&#x00FC;ve et al., 2007</xref>). However, the intensity of stomatal control on emissions is contingent on the pool size of volatiles stored in lipid and water phases (<xref ref-type="bibr" rid="B28">Harley, 2013</xref>), with noticeable control on more soluble compounds like alcohols and carboxylic acids compared to highly volatile compounds (<xref ref-type="bibr" rid="B55">Niinemets et al., 2002</xref>, <xref ref-type="bibr" rid="B53">2004</xref>; <xref ref-type="bibr" rid="B54">Niinemets and Reichstein, 2003</xref>).</p>
<p>Temperature can also indirectly affect volatile emissions through its influence on different biotic and abiotic variables. For example, elevated temperature can amplify the severity of drought by enhancing soil moisture evaporation. In our study, higher temperatures in summer corresponded to relatively lower soil water content (<xref ref-type="fig" rid="F5">Figure 5</xref>) and may account for the observed higher emissions in summer, as shown in earlier reports (<xref ref-type="bibr" rid="B13">Copolovici et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Campbell et al., 2018</xref>). We indeed observed a strong negative relationship between soil moisture content and the emissions of aldehydes and other esters and a moderate negative relationship with sesquiterpenes (<xref ref-type="fig" rid="F6">Figure 6</xref>). Another potential indirect effect of temperature on the variable emissions observed in this study could be the interaction between temperature and plant phenology. <italic>D. subulatum</italic>&#x2019;s phenology would have been changing between the four sampling occasions. For example, flowering occurred from November to March. This covers the summer months in our study and may impact the composition of volatile blends measured during this period. Although we did not directly test this in the present study, higher temperatures have been shown to increase the floral volatiles from some plants, for instance (<xref ref-type="bibr" rid="B33">Hu et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Farr&#x00E9;-Armengol et al., 2014</xref>).</p>
<p>Other environmental factors like soil nutrient availability also affect plant volatile emissions. We found differences in K and P between seasons, with higher levels measured in ES (<xref ref-type="fig" rid="F5">Figure 5</xref>), which coincide with the higher volatile emissions at this sampling time. We also found that increased K levels positively relate to the emissions of fatty acid derivatives, aldehydes, and other esters but negatively correlated with monoterpenoids and sesquiterpenes. On the other hand, high P levels were associated with increased emissions of monoterpenoids, other esters and sesquiterpenes (<xref ref-type="fig" rid="F6">Figure 6</xref>). The mechanisms behind the relationships between soil nutrients and VOC emissions are poorly documented. Phosphorus, however, is crucial in terpenoid production because it is a significant component of ATP and NADPH required for terpenoid synthesis and an essential constituent of terpenoid precursors (IPP and DMAPP) (<xref ref-type="bibr" rid="B58">Ormeno and Fernandez, 2012</xref>). In comparison, nitrogen stimulates electron transport rate and photosynthesis, which supplies energy and carbon substrate for isoprenoid production (<xref ref-type="bibr" rid="B58">Ormeno and Fernandez, 2012</xref>). Like our results, other studies have reported a positive relationship between nutrient availability and VOC emissions. These include increased total emissions from <italic>Z. mays</italic> under high fertilization (<xref ref-type="bibr" rid="B27">Gouinguen&#x00E9; and Turlings, 2002</xref>), enhancement of &#x03B1;-thujene, acetic acid and LOX compounds with increasing N availability from <italic>Brassica napus</italic> (<xref ref-type="bibr" rid="B79">Veromann et al., 2013</xref>) and induced higher emissions by infested conventional <italic>B</italic>. <italic>napus</italic> grown at a high-soil nutrient level (<xref ref-type="bibr" rid="B36">Ibrahim et al., 2008</xref>). Lower emission in nutrient-depleted soils is likely due to the lack of substrates required to synthesize compounds, as previously suggested by <xref ref-type="bibr" rid="B27">Gouinguen&#x00E9; and Turlings (2002)</xref>.</p>
<p>This study is a contribution to our understanding of VOC emissions of native plant species in the wild and the environmental factors impacting them, but other aspects require further research. Future studies should investigate the associations between plant phenology and its VOC emissions in nature. We also recommend more studies to explore the potential links between increased photosynthesis in warmer summers and VOC emissions. The potential effects of global warming on plant biochemical and physiological processes and their ecological impacts also deserve attention. Lastly, we acknowledge the possibility of our results being influenced by microbes and unidentified belowground processes and encourage future research to investigate the effect of such organisms and processes on VOC emissions over several seasons.</p>
</sec>
<sec sec-type="conclusion" id="S5">
<title>Conclusion and Potential Ecological Impacts</title>
<p>For the first time, we characterized the VOCs emissions of New Zealand&#x2019;s endemic <italic>D. subulatum</italic> and showed that this plant is a prolific emitter of terpenoids. Among the measured parameters, <italic>D. subulatum</italic>&#x2019;s emissions showed a clear seasonal pattern with higher emissions during summer, mainly related to higher temperatures. Although other environmental variables such as soil moisture content and nutrients were associated with changes in emissions, the relationships were compound-dependent.</p>
<p>Climate change is expected to impact soil chemistry, air temperature, and plant development. Our results support the claim that the current warming trend is likely to increase plant volatile emissions globally and possibly affect their ecological roles (<xref ref-type="bibr" rid="B62">Pe&#x00F1;uelas and Staudt, 2010</xref>; <xref ref-type="bibr" rid="B66">Rinnan et al., 2020</xref>). For instance, changes in emission in response to climate change can shape competitive outcomes for plants (<xref ref-type="bibr" rid="B80">Wang et al., 2010</xref>). Modification in emissions can also influence the communication between plants, herbivores and natural enemies of herbivores (<xref ref-type="bibr" rid="B7">Clavijo McCormick, 2016</xref>), which could be significant in shaping plant communities (<xref ref-type="bibr" rid="B37">Kegge and Pierik, 2010</xref>; <xref ref-type="bibr" rid="B24">Effah et al., 2019</xref>). Furthermore, volatile compounds including isoprene, monoterpenes, and green leaf volatiles play critical roles in improving thermotolerance, resistance to cold-stress, and serve as antioxidants (<xref ref-type="bibr" rid="B30">Holopainen, 2004</xref>; <xref ref-type="bibr" rid="B84">Zuo et al., 2017</xref>; <xref ref-type="bibr" rid="B11">Cofer et al., 2018</xref>). Therefore, further investigation is needed to establish whether altering emissions by climate change could enhance or impair VOCs&#x2019; protective functions.</p>
<p>Many volatile compounds also interfere with some atmospheric processes, reacting with O<sub>3</sub>, nitrogen oxides and hydroxyl radicals, and are linked to cloud formation (<xref ref-type="bibr" rid="B1">Blande et al., 2014</xref>; <xref ref-type="bibr" rid="B83">Zhao et al., 2017</xref>). The products of these reactions can be redeposited on plants and could affect plants communication with their environment and atmospheric quality. A recent study showed that &#x03B1;-pinene&#x2019;s oxidation products are deposited on plants and re-emitted, affecting plants acceptability to herbivores (<xref ref-type="bibr" rid="B51">Mofikoya et al., 2020</xref>). This research area requires further investigation to increase our knowledge of the impact of climate-induced emissions on plant-plant, plant-insect, and plant-microbe interactions, especially in vulnerable and threatened native ecosystems.</p>
</sec>
<sec sec-type="data-availability" id="S6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>EE and ACM conceived the project, collected the data, and led the writing of the manuscript. DB, PP, MP, and JH contributed to the final design and data collection. EE analyzed and interpreted the data with the advice of ACM. All authors were involved in editing and provided critical comments on the manuscript, and approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s12">
<title>Funding</title>
<p>This study was supported by the School of Agriculture and Environment (SAE, Massey University) and a Massey University Research Fund granted to ACM. SAE also supported the publication of this work. The Royal Society of New Zealand also supported this work through a Fast Start Marsden Grant to ACM (MFP-MAU2004).</p>
</sec>
<ack>
<p>We are grateful to the New Zealand Defence Force for giving us access to the Waiouru Military Training Area. We thank Shaun Nielsen, John Sykes, and the Chemical Ecology Group (Massey University) for their support. We also thank Alberto De Rosa (Massey University) for the inspiring statistical discussions.</p>
</ack>
<sec id="S10" sec-type="supplementary material"><title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2021.734531/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2021.734531/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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