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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. For. Glob. Change</journal-id>
<journal-title>Frontiers in Forests and Global Change</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. For. Glob. Change</abbrev-journal-title>
<issn pub-type="epub">2624-893X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/ffgc.2023.1112852</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Forests and Global Change</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ecophysiological responses of seedlings of six dipterocarp species to short-term drought in Borneo</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ichie</surname> <given-names>Tomoaki</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/562056/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Igarashi</surname> <given-names>Shuichi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2122336/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tanimoto</surname> <given-names>Tomoko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Inoue</surname> <given-names>Yuta</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mohizah</surname> <given-names>Mohamad</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kenzo</surname> <given-names>Tanaka</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1913506/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Faculty of Agriculture and Marine Science, Kochi University</institution>, <addr-line>Nankoku</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Forestry and Forest Products Research Institute</institution>, <addr-line>Tsukuba</addr-line>, <country>Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Forest Department Sarawak</institution>, <addr-line>Kuching</addr-line>, <country>Malaysia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Japan International Research Centre for Agricultural Sciences</institution>, <addr-line>Tsukuba</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Narkis Morales, Pontificia Universidad Cat&#x00F3;lica de Chile, Chile</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Dapao Yu, Institute of Applied Ecology (CAS), China; Tianyuan Yang, Anhui Agricultural University, China; Satoshi Kitaoka, Hokkaido University, Japan; Mai Kamakura, Kyoto University, Japan</p></fn>
<corresp id="c001">&#x002A;Correspondence: Tomoaki Ichie, <email>ichie@kochi-u.ac.jp</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Forest Disturbance, a section of the journal Frontiers in Forests and Global Change</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>6</volume>
<elocation-id>1112852</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Ichie, Igarashi, Tanimoto, Inoue, Mohizah and Kenzo.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ichie, Igarashi, Tanimoto, Inoue, Mohizah and Kenzo</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>To predict the dynamics of tropical rainforest ecosystems in response to climate change, it is necessary to understand the drought tolerance and related mechanisms of trees in tropical rainforests. In this study, we assessed the ecophysiological responses of seedlings of six dipterocarp species (<italic>Dipterocarpus pachyphyllus, Dryobalanops aromatica, Shorea beccariana, S. curtisii, S. parvifolia</italic>, and <italic>S. smithiana</italic>) to experimental short-term drought conditions. The seedlings were initially grown in plastic pots with sufficient irrigation; irrigation was then stopped to induce drought. Throughout the soil-drying period, we measured various ecophysiological parameters, such as maximum photosynthetic and transpiration rates, stomatal conductance, water-use efficiency, predawn water potential, the maximum quantum yield of photosystem II (<italic>F<sub><italic>v</italic></sub>/F<sub><italic>m</italic></sub></italic>), leaf water characteristics (using pressure-volume curves), leaf water content, and total sugar and starch contents. In all six dipterocarp species studied, the <italic>F<sub><italic>v</italic></sub>/F<sub><italic>m</italic></sub></italic> values dropped sharply when the soil water content fell below 8%. However, there were interspecific differences in physiological responses to such a decrease in soil water content: <italic>S. parvifolia</italic> and <italic>S. beccariana</italic> actively controlled their stomata during drought to reduce water consumption <italic>via</italic> an isohydric response, but showed an increase (<italic>S. parvifolia</italic>) or no change (<italic>S. beccariana</italic>) in leaf drought tolerance; <italic>Di. pachyphyllus</italic> and <italic>Dry. aromatica</italic> maintained photosynthesis and transpiration close to the wilting point during drought without reducing water consumption <italic>via</italic> an anisohydric response, and also increased their leaf drought tolerance over the drying period; and <italic>S. curtisii</italic> and <italic>S. smithiana</italic> maintained their photosynthetic capacity without stomatal closure, but showed no change or a slight decrease in leaf drought tolerance. Our results indicate that extreme drought can cause the death of dipterocarp seedlings <italic>via</italic> various drought response, which could substantially impact the future distribution, population dynamics, and structure of tropical rainforests.</p>
</abstract>
<kwd-group>
<kwd>drought stress</kwd>
<kwd>isohydric/anisohydric behavior</kwd>
<kwd>leaf water potential</kwd>
<kwd>stomatal regulation</kwd>
<kwd>tropical rainforest</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="107"/>
<page-count count="12"/>
<word-count count="9123"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Global climate change has affected precipitation patterns worldwide, leading to increased drought severity and frequency (<xref ref-type="bibr" rid="B32">Huntington, 2006</xref>; <xref ref-type="bibr" rid="B20">Dai, 2013</xref>; <xref ref-type="bibr" rid="B15">Chadwick et al., 2015</xref>; <xref ref-type="bibr" rid="B18">Cook et al., 2015</xref>; <xref ref-type="bibr" rid="B22">Donat et al., 2016</xref>). Even in tropical rainforests, which have important roles in global carbon and water cycling (e.g., <xref ref-type="bibr" rid="B58">Lean and Warrilow, 1989</xref>; <xref ref-type="bibr" rid="B42">Kanae et al., 2001</xref>; <xref ref-type="bibr" rid="B8">Beer et al., 2010</xref>; <xref ref-type="bibr" rid="B79">Pan et al., 2011</xref>; <xref ref-type="bibr" rid="B93">Spracklen et al., 2012</xref>), changes in rainfall patterns and increased drought frequency have led to increased tree mortality (e.g., <xref ref-type="bibr" rid="B70">Nakagawa et al., 2000</xref>; <xref ref-type="bibr" rid="B105">Williamson et al., 2000</xref>; <xref ref-type="bibr" rid="B17">Clark, 2004</xref>; <xref ref-type="bibr" rid="B68">Meir and Grace, 2005</xref>; <xref ref-type="bibr" rid="B101">van Nieuwstadt and Sheil, 2005</xref>), in turn reducing water cycling (<xref ref-type="bibr" rid="B81">Phillips et al., 2009</xref>; <xref ref-type="bibr" rid="B51">Kumagai and Porporato, 2012</xref>; <xref ref-type="bibr" rid="B24">Feldpausch et al., 2016</xref>). El Ni&#x00F1;o&#x2013;Southern Oscillation (ENSO) is considered to be a major driver of worsening droughts in Southeast Asia (<xref ref-type="bibr" rid="B60">Malhi and Wright, 2004</xref>; <xref ref-type="bibr" rid="B51">Kumagai and Porporato, 2012</xref>), and climate change will likely increase the severity and frequency of ENSO phenomena in the future (<xref ref-type="bibr" rid="B96">Timmermann et al., 1999</xref>; <xref ref-type="bibr" rid="B11">Breshears et al., 2009</xref>; <xref ref-type="bibr" rid="B1">Allen et al., 2010</xref>; <xref ref-type="bibr" rid="B16">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B95">Thirumalai et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Cai et al., 2018</xref>; <xref ref-type="bibr" rid="B86">Rifai et al., 2019</xref>). ENSO-induced droughts can result in substantial carbon losses due to the death of tropical forest trees, which in turn exacerbates global warming (<xref ref-type="bibr" rid="B25">Feng et al., 2017</xref>). There is growing evidence that ENSO-induced droughts can severely impact tropical forest dynamics, resulting in increased mortality and decreased growth of trees (<xref ref-type="bibr" rid="B70">Nakagawa et al., 2000</xref>; <xref ref-type="bibr" rid="B81">Phillips et al., 2009</xref>, <xref ref-type="bibr" rid="B82">2010</xref>, <xref ref-type="bibr" rid="B39">Itoh et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Bennett et al., 2015</xref>). However, there are few studies on the ecophysiological responses of tropical rainforest tree species to severe drought, particularly in Southeast Asia (<xref ref-type="bibr" rid="B12">Burslem et al., 1996</xref>; <xref ref-type="bibr" rid="B100">Tyree et al., 1998</xref>; <xref ref-type="bibr" rid="B14">Cao, 2000</xref>; <xref ref-type="bibr" rid="B6">Baltzer et al., 2008</xref>; <xref ref-type="bibr" rid="B74">O&#x2019;Brien et al., 2014</xref>, <xref ref-type="bibr" rid="B73">2015</xref>, <xref ref-type="bibr" rid="B75">2017a</xref>,<xref ref-type="bibr" rid="B76">2017b</xref>,<xref ref-type="bibr" rid="B77">2020</xref>; <xref ref-type="bibr" rid="B37">Inoue et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Bittencourt et al., 2022</xref>).</p>
<p>Dipterocarpaceae is the dominant family in the lowland tropical rainforests of Southeast Asia, especially in the canopy and emergent layers (<xref ref-type="bibr" rid="B3">Ashton, 2014</xref>), and is critical to the forest dynamics and carbon and water cycles in these areas (<xref ref-type="bibr" rid="B52">Kumagai et al., 2006</xref>; <xref ref-type="bibr" rid="B27">Ghazoul, 2016</xref>). A significant increase in dipterocarp mortality was reported during a severe ENSO-induced drought (<xref ref-type="bibr" rid="B70">Nakagawa et al., 2000</xref>; <xref ref-type="bibr" rid="B91">Slik, 2004</xref>; <xref ref-type="bibr" rid="B101">van Nieuwstadt and Sheil, 2005</xref>; <xref ref-type="bibr" rid="B71">Newbery and Lingenfelder, 2009</xref>; <xref ref-type="bibr" rid="B39">Itoh et al., 2012</xref>). Moreover, experiments on the responses of several dipterocarp species to controlled drought revealed that mature trees of <italic>Dryobalanops aromatica</italic> increased their leaf drought tolerance <italic>via</italic> altered osmotic regulation (<xref ref-type="bibr" rid="B37">Inoue et al., 2017</xref>) without a significant reduction in leaf stomatal conductance (<xref ref-type="bibr" rid="B107">Yoshifuji et al., 2020</xref>). This species had a lower mortality rate under ENSO-induced drought compared to other dipterocarps (<xref ref-type="bibr" rid="B31">Hiromi et al., 2012</xref>), suggesting that responses to drought might vary widely among this family. In addition, the total non-structural carbohydrate (TNC) concentrations during a prolonged artificial drought experiment varied among dipterocarp species and were positively correlated with the timing of seedling death (<xref ref-type="bibr" rid="B74">O&#x2019;Brien et al., 2014</xref>).</p>
<p>A plant species can be classified as isohydric or anisohydric depending on its stomatal behavior and hydraulic status in response to drought stress (<xref ref-type="bibr" rid="B94">Tardieu and Simonneau, 1998</xref>; <xref ref-type="bibr" rid="B63">Mart&#x00ED;nez-Vilalta et al., 2014</xref>; <xref ref-type="bibr" rid="B43">Kannenberg et al., 2017</xref>); this concept can be applied in assessments of the mechanisms underlying the short-term drought resistance and mortality of plant species (<xref ref-type="bibr" rid="B84">Qiu et al., 2022</xref>). As drought severity increases, isohydric species maintain stable midday leaf water potential <italic>via</italic> strict stomatal regulation, whereas anisohydric species experience fluctuations in water availability, with no discernible threshold of minimum leaf water potential (<xref ref-type="bibr" rid="B62">Mart&#x00ED;nez-Vilalta and Garcia-Forner, 2017</xref>). Because of the regulatory role of stomata in leaf conductance to water vapor (i.e., transpiration) and plant water status, classification as isohydric or anisohydric usually depends on stomatal behavior: isohydric species maintain relatively stable leaf water potential <italic>via</italic> stricter stomatal control, whereas anisohydric species exhibit less strict transpiration regulation (<xref ref-type="bibr" rid="B41">Jones, 1998</xref>; <xref ref-type="bibr" rid="B94">Tardieu and Simonneau, 1998</xref>; <xref ref-type="bibr" rid="B62">Mart&#x00ED;nez-Vilalta and Garcia-Forner, 2017</xref>). As a consequence, isohydric species are tolerant of short-term drought but may experience TNC depletion due to limited photosynthesis under prolonged drought. In contrast, anisohydric species maintain photosynthesis despite the risk of dehydration due to less strict stomatal regulation (<xref ref-type="bibr" rid="B94">Tardieu and Simonneau, 1998</xref>; <xref ref-type="bibr" rid="B65">McDowell et al., 2008</xref>). Changes in water potential and transpiration during non-drought periods have been detected in mature trees of both types of dipterocarps (<xref ref-type="bibr" rid="B31">Hiromi et al., 2012</xref>); however, the response to drought and relationship with other ecophysiological traits, such as photosynthesis, remain unclear in dipterocarp species (<xref ref-type="bibr" rid="B74">O&#x2019;Brien et al., 2014</xref>).</p>
<p>This study was conducted to measure the stomatal behavior and hydraulic status of seedlings under short-term controlled drought conditions using six dominant dipterocarp species of a primary tropical rainforest in Borneo. We hypothesized that these species would exhibit different responses to drought, i.e., isohydric or anisohydric.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Study site</title>
<p>This study was conducted in Lambir Hills National Park in Sarawak, Malaysia (4&#x00B0;20&#x2032;N, 113&#x00B0;50&#x2032;E). The study area has a humid tropical climate with minimal seasonal changes in rainfall or temperature (<xref ref-type="bibr" rid="B44">Kato et al., 1995</xref>). The mean annual precipitation and air temperature are 2,600 mm and 25.8&#x00B0;C, respectively (<xref ref-type="bibr" rid="B56">Kume et al., 2011</xref>). Although this location lacks a regular dry season (<xref ref-type="bibr" rid="B56">Kume et al., 2011</xref>), it sometimes experiences reduced precipitation in association with supra-annual climatic events, such as ENSO (<xref ref-type="bibr" rid="B70">Nakagawa et al., 2000</xref>; <xref ref-type="bibr" rid="B90">Sakai et al., 2006</xref>; <xref ref-type="bibr" rid="B28">Gomyo and Kuraji, 2009</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>Study species</title>
<p>We selected six dipterocarp species for this study; <italic>Dipterocarpus pachyphyllus</italic> Meijer (DP), <italic>Dryobalanops aromatica</italic> Gaertn.f (DrA), <italic>Shorea beccariana</italic> Burck (SB), <italic>Shorea curtisii</italic> Dyer ex King (SC), <italic>Shorea parvifolia</italic> Dyer (SP), and <italic>Shorea smithiana</italic> Symington (SS). All of these species are evergreen and dominate the canopy and emergent layers at the study site. DrA, SB, SC, and SS are among the most important tree species in Lambir Hills National Park in terms of appearance frequency or basal area (<xref ref-type="bibr" rid="B21">Davies et al., 2005</xref>), and DP and SP are locally abundant, especially on the lower slopes of the forest (<xref ref-type="bibr" rid="B69">Momose et al., 1997</xref>; <xref ref-type="bibr" rid="B4">Ashton, 2004</xref>). DrA, SB, and SC are mainly distributed in upper slope with sandy soil, while DP, SP, and SS are distributed in lower slope with clay soil (<xref ref-type="bibr" rid="B40">Itoh et al., 1995</xref>; <xref ref-type="bibr" rid="B30">Hirai et al., 1997</xref>; <xref ref-type="bibr" rid="B59">Lee et al., 2002</xref>; <xref ref-type="bibr" rid="B4">Ashton, 2004</xref>; <xref ref-type="bibr" rid="B31">Hiromi et al., 2012</xref>; <xref ref-type="bibr" rid="B46">Kenzo et al., 2016</xref>). However, the distribution of these species is unrelated to soil pH (<xref ref-type="bibr" rid="B59">Lee et al., 2002</xref>). All six species are used for enrichment planting in tropical rainforests in Southeast Asia (e.g., <xref ref-type="bibr" rid="B2">Appanah and Weinland, 1993</xref>; <xref ref-type="bibr" rid="B102">Vincent and Davies, 2003</xref>; <xref ref-type="bibr" rid="B29">Hattori et al., 2013</xref>; <xref ref-type="bibr" rid="B97">Tuck et al., 2016</xref>; <xref ref-type="bibr" rid="B80">Perumal et al., 2017</xref>; <xref ref-type="bibr" rid="B104">Widiyatno et al., 2020</xref>).</p>
<p>Seeds were collected from at least three mother trees per species in Lambir Hills National Park during the landscape-scale masting event in January 2014 (<xref ref-type="bibr" rid="B36">Iku et al., 2017</xref>). More than 300 seeds (50 per species) were collected, each of which was planted in a plastic pot (8 cm &#x00D7; 20 cm) filled with a 50:50 mixture of clayey soil (collected from the nearby Lambir Forest) and sand. The seedlings were grown in a nursery under two layers of 70% shade cloth, which reduced direct sunlight to about 5%, for 7 months. This is because dipterocarp species consume stored nutrients in their seeds for about 1 month after germination and then become autotrophic (<xref ref-type="bibr" rid="B35">Ichie et al., 2001</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>Drought treatment</title>
<p>From August to October 2014, watering was stopped after all pots were moved to a concrete-paved area under the eaves, where light conditions were comparable to those inside the nursery (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 1</xref>, <xref ref-type="supplementary-material" rid="DS1">2</xref>). Each pot was randomly moved throughout the experiment so that all individuals experienced similar light conditions over time. Volumetric soil moisture was measured to assess soil drying using a soil moisture sensor (SM-200; Delta-T Devices, Cambridge, UK). We measured soil water content (SWC) five times within 1 day per pot, and the mean was taken as the value for the day. This procedure was implemented periodically for all pots. Soil water potential was measured simultaneously with SWC using a soil moisture sensor (Watermark 200SS-15; IRROMETER, Riverside, CA, USA) equipped with a temperature sensor (Watermark 200TS; IRROMETER) to determine the relationship between the SWC and soil water potential. Soil drying reached a minimum of &#x2212;2.5 MPa (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 2A</xref>). The decrease in SWC after the experiment showed similar patterns among the six dipterocarp species studied (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 2B</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Measurement of leaf gas exchange rate</title>
<p>We measured the leaf gas exchange rate and water potential before irrigation was stopped, at 20, 15, 13, and 10% SWC, and finally every 2 days after the SWC fell below 10%. The leaf light-saturated photosynthetic rate (<italic>A</italic><sub>max</sub>), transpiration rate (<italic>E</italic><sub>max</sub>), and stomatal conductance (<italic>gs</italic><sub>max</sub>) at light saturation, and the dark respiration rate (<italic>R</italic><sub>d</sub>) in fully expanded and apparently non-senescent leaves were measured with a portable photosynthesis apparatus (LI-6400, Li-Cor, Lincoln, NE, USA). We randomly selected five to eight individuals per species and continued the measurements all day until the SWC of each reached the desired value. To avoid midday photosynthesis depression, we measured <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub> from 08:00 to 11:30, and <italic>R</italic><sub>d</sub> from sunset to predawn (<xref ref-type="bibr" rid="B47">Kenzo et al., 2015</xref>). The light intensity was set to 1,500 &#x03BC;mol photon m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup> for the measurement of <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub> and at 0 &#x03BC;mol photon m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup> for the measurement of <italic>R</italic><sub>d</sub> using an internal light-emitting diode (Li-640B; Li-Cor) as a light source. The CO<sub>2</sub> concentration in the chamber was maintained at 400 ppm, and the air temperature and relative humidity were approximately 30&#x00B0;C and 60%, respectively. The water-use efficiency (WUE), i.e., the ratio of <italic>A</italic><sub>max</sub> to <italic>gs</italic><sub>max</sub>, was also calculated (<xref ref-type="bibr" rid="B49">Kitahashi et al., 2008</xref>; <xref ref-type="bibr" rid="B33">Ichie et al., 2016</xref>).</p>
</sec>
<sec id="S2.SS5">
<title>Chlorophyll fluorescence</title>
<p>We measured the maximum quantum yield of photosystem II (<italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub>) of each individual using a fluorescence meter (MINI-PAM; WALZ, Effeltrich, Germany) at predawn (around 05:00). To quantify <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub>, dark-adapted leaves were exposed to a saturating pulse of 6,000 &#x03BC;mol m<sup>&#x2013;2</sup> s<sup>&#x2013;1</sup> with a wavelength of 650 nm, for 0.8 s under predawn conditions. In the leaves that maintained photosynthetic functions, the values of <italic>F</italic><sub><italic>v</italic></sub>/<italic>F</italic><sub><italic>m</italic></sub> show around 0.8, though less than 0.2 is the threshold corresponding to drought-induced mortality (<xref ref-type="bibr" rid="B106">Woo et al., 2008</xref>; <xref ref-type="bibr" rid="B26">Garc&#x00ED;a-Fern&#x00E1;ndez et al., 2013</xref>). Three leaves were selected from each individual and the average value was taken.</p>
</sec>
<sec id="S2.SS6">
<title>Leaf water potential</title>
<p>Predawn leaf water potential (&#x03A8;<sub><italic>pd</italic></sub>), water potential at the turgor loss point (&#x03A8;<sub><italic>tlp</italic></sub>), and osmotic potential at full turgor (&#x03A8;<sub>100</sub>) were determined using a pressure chamber (Model 1002; PMS instruments, Corvallis, OR, USA). &#x03A8;<sub><italic>pd</italic></sub> was measured from 05:00 to 06:00 in five individuals per species selected randomly on the day when the SWC reached the specified values. &#x03A8;<sub><italic>tlp</italic></sub> and &#x03A8;<sub>100</sub> were determined from pressure&#x2013;volume curves (<xref ref-type="bibr" rid="B98">Tyree and Hammel, 1972</xref>). The base of each twig was cut off under water after the &#x03A8;<sub><italic>pd</italic></sub> measurement and rehydrated with tap water for at least 12 h under dark conditions (<xref ref-type="bibr" rid="B99">Tyree et al., 1974</xref>). The roughly 15-cm-long tip of each shoot bearing 5&#x2013;10 leaves was cut from the twig for the measurement, and a pressure chamber was used to generate pressure&#x2013;volume curves. We were unable to measure &#x03A8;<sub><italic>pd</italic></sub>, &#x03A8;<sub><italic>tlp</italic></sub>, and &#x03A8;<sub>100</sub> at 25 and 20% SWC in SP and at 20% in SC due to equipment trouble.</p>
</sec>
<sec id="S2.SS7">
<title>Individual size and dry weight</title>
<p>Four or five individuals per species were selected randomly before the irrigation was stopped and the tree height, ground diameter, and leaf area of each were measured. During the experiment, the seedlings used for leaf water potential measurement were dug out of the pots, washed to carefully remove soil, and divided into root, stem, leaf, and bud organs. After the fresh weight of leaves was measured, the leaf area was determined using a flatbed scanner and image analysis software (Lia32 freeware; <ext-link ext-link-type="uri" xlink:href="http://www.agr.nagoya-u.ac.jp/~shinkan/LIA32/index.html">http://www.agr.nagoya-u.ac.jp/~shinkan/LIA32/index.html</ext-link>). We measured the dry weight of each organ sample after drying at 60&#x00B0;C for 48 h. The leaf water content during the experiment was calculated as follows: (Fresh weight&#x2013;Dry weight)/Fresh weight &#x00D7; 100 (%).</p>
</sec>
<sec id="S2.SS8">
<title>TNC analysis</title>
<p>Using the organ samples from the dry weight measurement, we determined the starch and total sugar contents of the leaves, stems, and roots in each species before the start of the experiment, and at 10 and 7% SWC. The total sugar content was determined following the phenol&#x2013;sulfuric acid method of <xref ref-type="bibr" rid="B23">Dubois et al. (1956)</xref>, as modified by <xref ref-type="bibr" rid="B5">Ashwell (1966)</xref>. The dried samples were ground into a fine powder using a Hi-speed Vibration Sample Mill (TI-100; CMT, Fukushima, Japan), and about 100 mg of each sample was extracted at 90&#x00B0;C overnight using 80% ethanol. The fractional transmittance was read using an ultraviolet&#x2013;visible light spectrophotometer (UV-1400; Shimadzu, Kyoto, Japan) at 490 nm. The starch content was determined following modified the methods of <xref ref-type="bibr" rid="B57">Lawrence et al. (1990)</xref> and <xref ref-type="bibr" rid="B72">Newell et al. (2002)</xref>. The analytical procedure followed <xref ref-type="bibr" rid="B34">Ichie et al. (2005)</xref>. The TNC content was calculated as the sum of the starch and total sugar contents.</p>
</sec>
<sec id="S2.SS9">
<title>Data analysis</title>
<p>To evaluate the response of each physiological trait to soil drought, we assessed the relationships between physiological parameters, including <italic>A</italic><sub>max</sub>, <italic>gs</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, <italic>F</italic><sub><italic>v</italic></sub>/<italic>F</italic><sub><italic>m</italic></sub>, and leaf water content, with SWC using a logistic regression model that estimated three parameters: the upper limit of each physiological trait under moist conditions before the experiment, the slope coefficient showing the rate of decline or rise, and the SWC at 50% of the upper limit. We also used a four-parameter logistic regression model to examine the relationships of <italic>R</italic><sub>d</sub>, WUE, and &#x03A8;<sub><italic>pd</italic></sub> with SWC. In addition to the parameters in the three-parameter model, this model estimated the lower limit of each physiological trait under dry conditions. Before conducting the analyses, <italic>A</italic><sub>max</sub>, <italic>gs</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, <italic>R</italic><sub>d</sub>, and WUE values were converted into values relative to those under well-irrigated conditions just before stopping irrigation to eliminate intraspecific error. Both analyses were carried out using the <italic>drm</italic> function in the <italic>drc</italic> package of R statistical software (version 4.2.1; R Development Core Team, Vienna, Austria) (<xref ref-type="bibr" rid="B87">Ritz and Streibig, 2005</xref>). A similar analysis was also performed at the individual level. Finally, we determined the SWC at which each physiological trait reached 90 and 50% of the upper limit, and the average was taken for interspecific comparison.</p>
<p>Linear regression was used to examine the relationships of &#x03A8;<sub>100</sub> and &#x03A8;<sub><italic>tlp</italic></sub> with SWC. Analysis of variance was used to assess the interspecific differences of all physiological and morphological characteristics before the experiment, changes in sugar, starch, and TNC concentrations in each organ throughout the experiment, and differences in SWC among the six species in the SWC at which each physiological trait reached 90 and 50% of the upper limit. When the result was significant at <italic>P</italic> &#x003C; 0.05, Tukey&#x2019;s HSD test was used to compare the differences and changes. Principal component analysis (PCA) was conducted to estimate the physiological responses of the six species to soil drought using the <italic>prcomp</italic> function. R software (version 4.2.1) was used for all analyses (<xref ref-type="bibr" rid="B85">R Core Team, 2022</xref>).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Initial size and dry weight</title>
<p>The species studied differed widely in size immediately before the experiment (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 3</xref>). SB had much higher values for all parameters than the other species, except that SS was equivalent to SB in height and total leaf area; there were few differences among DP, SC, and SP.</p>
<p>The dry weight of each organ differed significantly among the species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 3</xref>). The root dry weight was highest in SB, i.e., more than twice that of the other species. The species also differed considerably in their TR (shoot-to-root) ratio, with SS having a value significantly higher than the other five species.</p>
</sec>
<sec id="S3.SS2">
<title>Leaf gas exchange</title>
<p>Gas exchange rate parameters immediately before the experiment showed interspecific differences (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 4</xref>). <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub> were significantly lower in DrA and SC than in the other four species. <italic>R</italic><sub>d</sub> was significantly lower in DP than SP. WUE was significantly higher in DrA than in the other five species.</p>
<p>During the experiment, interspecific differences were observed in <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub> with decreasing SWC (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). SP showed a decrease in <italic>gs</italic><sub>max</sub> immediately after the irrigation was stopped, and <italic>A</italic><sub>max</sub> and <italic>E</italic><sub>max</sub> decreased accordingly. Meanwhile, in SB, <italic>gs</italic><sub>max</sub> was maintained for a short period after irrigation was stopped, and <italic>gs</italic><sub><italic>max</italic>,</sub> <italic>A</italic><sub>max</sub>, and <italic>E</italic><sub>max</sub> decreased rapidly thereafter. In contrast, DP, DrA, SC, and SS responded to the decrease in SWC by maintaining <italic>gs</italic><sub>max</sub> values for a long period, but their stomata closed rapidly below 12% SWC; at 7&#x2013;10% SWC, the <italic>gs</italic><sub>max</sub>, <italic>A</italic><sub>max</sub> and <italic>E</italic><sub>max</sub> values of these four species were half the pre-drought-values (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref> and <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Changes in physiological parameters with decreasing soil water content: <bold>(A)</bold> Relative maximum photosynthetic rate (<italic>A</italic><sub>max</sub>), <bold>(B)</bold> relative stomatal conductance (<italic>gs</italic><sub>max</sub>), <bold>(C)</bold> relative transpiration rate (<italic>E</italic><sub>max</sub>), <bold>(D)</bold> relative dark respiration rate (<italic>R</italic><sub>d</sub>), <bold>(E)</bold> relative water-use efficiency (WUE), <bold>(F)</bold> predawn leaf water potential (&#x03A8;<sub>pd</sub>), <bold>(G)</bold> leaf water content. DP, <italic>Dipterocarpus pachyphyllus</italic>; DrA, <italic>Dryobalanops aromatica</italic>; SB, <italic>Shorea beccariana</italic>; SC, <italic>S. curtisii</italic>; SP, <italic>S. parvifolia</italic>; SS, <italic>S. smithiana</italic>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1112852-g001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Interspecific difference in soil water content at half (50%) and 90% of the initial physiological parameter.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Code</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SWC (%) at <italic>A</italic><sub>max 90</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SWC (%) at <italic>A</italic><sub>max 50</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SWC (%) at <italic>gs</italic><sub>max 90</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SWC (%) at <italic>gs</italic><sub>max 50</sub></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">DP</td>
<td valign="top" align="center">10.29 &#x00B1; 1.00</td>
<td valign="top" align="center">7.77 &#x00B1; 0.43 b</td>
<td valign="top" align="center">11.14 &#x00B1; 1.03 b</td>
<td valign="top" align="center">7.85 &#x00B1; 0.47 b</td>
</tr>
<tr>
<td valign="top" align="left">DrA</td>
<td valign="top" align="center">14.59 &#x00B1; 2.02</td>
<td valign="top" align="center">10.08 &#x00B1; 0.89 ab</td>
<td valign="top" align="center">16.76 &#x00B1; 2.82 ab</td>
<td valign="top" align="center">9.18 &#x00B1; 1.08 b</td>
</tr>
<tr>
<td valign="top" align="left">SB</td>
<td valign="top" align="center">16.45 &#x00B1; 1.39</td>
<td valign="top" align="center">11.53 &#x00B1; 0.75 a</td>
<td valign="top" align="center">18.44 &#x00B1; 1.69 ab</td>
<td valign="top" align="center">12.37 &#x00B1; 0.81 ab</td>
</tr>
<tr>
<td valign="top" align="left">SC</td>
<td valign="top" align="center">11.61 &#x00B1; 0.76</td>
<td valign="top" align="center">10.18 &#x00B1; 0.37 ab</td>
<td valign="top" align="center">13.30 &#x00B1; 1.12 ab</td>
<td valign="top" align="center">7.41 &#x00B1; 0.56 b</td>
</tr>
<tr>
<td valign="top" align="left">SP</td>
<td valign="top" align="center">21.41 &#x00B1; 3.52</td>
<td valign="top" align="center">16.22 &#x00B1; 2.58 a</td>
<td valign="top" align="center">22.26 &#x00B1; 3.20 a</td>
<td valign="top" align="center">13.95 &#x00B1; 1.79 a</td>
</tr>
<tr>
<td valign="top" align="left">SS</td>
<td valign="top" align="center">11.00 &#x00B1; 0.53</td>
<td valign="top" align="center">9.05 &#x00B1; 0.31 ab</td>
<td valign="top" align="center">13.62 &#x00B1; 0.88 ab</td>
<td valign="top" align="center">9.94 &#x00B1; 0.37 ab</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><bold>Code</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>E</italic><sub>max 90</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>E</italic><sub>max 50</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>R</italic><sub>d 90</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>R</italic><sub>d 50</sub></bold></td>
</tr>
<tr>
<td valign="top" align="left">DP</td>
<td valign="top" align="center">11.68 &#x00B1; 1.07 b</td>
<td valign="top" align="center">7.91 &#x00B1; 0.47 b</td>
<td valign="top" align="center">18.74 &#x00B1; 1.41 ab</td>
<td valign="top" align="center">11.12 &#x00B1; 0.79</td>
</tr>
<tr>
<td valign="top" align="left">DrA</td>
<td valign="top" align="center">16.72 &#x00B1; 2.39 ab</td>
<td valign="top" align="center">9.46 &#x00B1; 1.25 ab</td>
<td valign="top" align="center">17.65 &#x00B1; 2.45 ab</td>
<td valign="top" align="center">8.80 &#x00B1; 0.50</td>
</tr>
<tr>
<td valign="top" align="left">SB</td>
<td valign="top" align="center">17.85 &#x00B1; 1.48 ab</td>
<td valign="top" align="center">12.03 &#x00B1; 0.71 a</td>
<td valign="top" align="center">12.17 &#x00B1; 1.11 b</td>
<td valign="top" align="center">11.00 &#x00B1; 1.07</td>
</tr>
<tr>
<td valign="top" align="left">SC</td>
<td valign="top" align="center">15.47 &#x00B1; 1.06 ab</td>
<td valign="top" align="center">8.05 &#x00B1; 0.50 ab</td>
<td valign="top" align="center">18.46 &#x00B1; 1.93 ab</td>
<td valign="top" align="center">12.62 &#x00B1; 0.62</td>
</tr>
<tr>
<td valign="top" align="left">SP</td>
<td valign="top" align="center">22.24 &#x00B1; 2.72 a</td>
<td valign="top" align="center">14.70 &#x00B1; 2.05 ab</td>
<td valign="top" align="center">21.97 &#x00B1; 1.67 a</td>
<td valign="top" align="center">11.26 &#x00B1; 1.06</td>
</tr>
<tr>
<td valign="top" align="left">SS</td>
<td valign="top" align="center">14.70 &#x00B1; 1.24 ab</td>
<td valign="top" align="center">10.35 &#x00B1; 0.50 ab</td>
<td valign="top" align="center">14.72 &#x00B1; 2.10 ab</td>
<td valign="top" align="center">9.55 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><bold>Code</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at WUE<sub>90</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at WUE<sub>50</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>F</italic>v/<italic>F</italic>m<sub>90</sub></bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>SWC (%) at <italic>F</italic>v/<italic>F</italic>m<sub>0.2</sub></bold></td>
</tr>
<tr>
<td valign="top" align="left">DP</td>
<td valign="top" align="center">7.62 &#x00B1; 0.43 b</td>
<td valign="top" align="center">6.02 &#x00B1; 0.14 d</td>
<td valign="top" align="center">5.39 &#x00B1; 0.08 ab</td>
<td valign="top" align="center">4.88 &#x00B1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">DrA</td>
<td valign="top" align="center">8.92 &#x00B1; 0.33 ab</td>
<td valign="top" align="center">7.56 &#x00B1; 0.18 bc</td>
<td valign="top" align="center">6.11 &#x00B1; 0.03 b</td>
<td valign="top" align="center">4.93 &#x00B1; 0.09</td>
</tr>
<tr>
<td valign="top" align="left">SB</td>
<td valign="top" align="center">9.70 &#x00B1; 0.26 ab</td>
<td valign="top" align="center">8.87 &#x00B1; 0.10 ab</td>
<td valign="top" align="center">6.80 &#x00B1; 0.14 a</td>
<td valign="top" align="center">5.89 &#x00B1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">SC</td>
<td valign="top" align="center">11.21 &#x00B1; 0.49 a</td>
<td valign="top" align="center">9.65 &#x00B1; 0.42 ab</td>
<td valign="top" align="center">6.80 &#x00B1; 0.17 ab</td>
<td valign="top" align="center">5.54 &#x00B1; 0.19</td>
</tr>
<tr>
<td valign="top" align="left">SP</td>
<td valign="top" align="center">10.13 &#x00B1; 0.99 ab</td>
<td valign="top" align="center">7.47 &#x00B1; 0.42 bc</td>
<td valign="top" align="center">6.44 &#x00B1; 0.20 ab</td>
<td valign="top" align="center">5.05 &#x00B1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">SS</td>
<td valign="top" align="center">7.51 &#x00B1; 0.25 b</td>
<td valign="top" align="center">6.54 &#x00B1; 0.16 cd</td>
<td valign="top" align="center">6.07 &#x00B1; 0.07 ab</td>
<td valign="top" align="center">5.16 &#x00B1; 0.07</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Different letters indicate significant differences at <italic>P</italic> &#x003C; 0.05, by Tukey&#x2019;s HSD test.</p></fn>
<fn><p>Each value represents the mean &#x00B1; SE.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>After irrigation was stopped, the relative <italic>R</italic><sub>d</sub> began to increase under relatively high SWC in SP and SC, but only began to increase at low SWC for the other four species (<xref ref-type="fig" rid="F1">Figure 1D</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). Among the six species, DrA showed the lowest <italic>R</italic><sub>d</sub> with decreasing SWC. There was no interspecific difference in SWC at 50% of the difference between the initial and maximum <italic>R</italic><sub>d</sub> values (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>All species showed a sharp decline in WUE at 7&#x2013;11% SWC (<xref ref-type="fig" rid="F1">Figure 1E</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). DP and SS reached 50% of the initial value at a significantly lower SWC compared to SB and SC (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
<sec id="S3.SS3">
<title>Leaf chlorophyll fluorescence</title>
<p>In all six species, <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub> was about 0.8 before irrigation was stopped, and was maintained at approximately the same value after initially stopping irrigation (<xref ref-type="fig" rid="F2">Figure 2</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). However, <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub> decreased sharply when SWC fell below 8%. A significant interspecific difference was observed in the SWC at which <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub> reached 90% of the initial value; however, there was no interspecific difference in the SWC at which <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub> reached 0.2, i.e., the threshold corresponding to drought-induced death.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Relationship between the maximum quantum yield of photosystem II (<italic>F</italic><sub>v</sub><italic>/F</italic><sub>m</sub>) and soil water content.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1112852-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Leaf water potential and &#x03A8;<sub><italic>tlp</italic></sub></title>
<p>&#x03A8;<sub><italic>pd</italic></sub> began to decrease at 12&#x2013;16% SWC in all six species. &#x03A8;<sub><italic>pd</italic></sub> decreased more rapidly in SC than the other species, and showed the lowest values throughout the soil-drying period (<xref ref-type="fig" rid="F1">Figure 1F</xref>). The &#x03A8;<sub><italic>pd</italic></sub> of DP and SS began to decrease at 15% SWC, and decreased slowly as the SWC dropped. Meanwhile, the &#x03A8;<sub><italic>pd</italic></sub> of SB and SP declined rapidly beginning around 12% SWC, but remained higher compared to the other four species. Finally, the &#x03A8;<sub><italic>pd</italic></sub> of DrA decreased slowly beginning around 12% SWC (<xref ref-type="fig" rid="F1">Figure 1F</xref>). Overall, the values of &#x03A8;<sub>100</sub> and &#x03A8;<sub><italic>tlp</italic></sub> decreased with decreasing SWC in DrA, DP, and SP, but remained relatively constant, or even increased, in SB, SC, and SS (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Changes in leaf water potential at the turgor loss point (&#x03A8;<sub>tlp</sub>: white circles) and osmotic potential at full turgor (&#x03A8;<sub>100</sub>: black circles) with decreasing soil water content. The solid line indicates a significant relationship. n.s., not significant.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1112852-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Leaf water content</title>
<p>The leaf water content immediately before the experiment was significantly differed among the six species; DP and SP showed the highest values (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 3</xref>). The leaf water content was positively related to <italic>A</italic><sub>max</sub> (<italic>P</italic> &#x003C; 0.05, <italic>r</italic> = 0.84), <italic>E</italic><sub>max</sub> (<italic>P</italic> &#x003C; 0.05, <italic>r</italic> = 0.83), and <italic>gs</italic><sub>max</sub> (<italic>P</italic> &#x003C; 0.05, <italic>r</italic> = 0.87), while other leaf traits, such as LMA and stomatal size, were not significantly related to gas exchange traits (data not shown).</p>
<p>After stopping irrigation, the leaf water content of all species remained stable for a while, but varied with increasing drought intensity according to species (<xref ref-type="fig" rid="F1">Figure 1G</xref>). In DrA and SC, the leaf water content started to decrease at a relatively fast rate at 15% SWC, but decreased slowly at lower SWC. SP and SB showed a rapid decline in leaf water content beginning around 10% SWC and reached below 40% the fastest. Finally, DP and SS maintained steady leaf water content until 7% SWC, below which they decreased rapidly.</p>
</sec>
<sec id="S3.SS6">
<title>TNC contents</title>
<p>TNC contents in leaves, stems, and roots tended to increase in all six species after stopping irrigation (<xref ref-type="fig" rid="F4">Figure 4</xref>). Total sugar and starch contents did not change, or tended to increase in all the species; they did not decrease for any species.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Total non-structural carbon (TNC) content in leaves, stems, and roots according to soil water content. Different uppercase (for TNC) and lowercase (for sugar and starch) letters indicate significant differences at <italic>P</italic> &#x003C; 0.05. Error bars represent standard error.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1112852-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS7">
<title>Relationships among physiological parameters during drought</title>
<p>The PCA revealed different response patterns to soil drought among the six dipterocarp species studied. The first principal component (PC1) explained 48.0% of the variance; this dimension was related to the gas exchange response to drought (e.g., SWC at 50% of the initial <italic>gs</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>A</italic><sub>max</sub>). The second principal component (PC2) explained 34.2% of the variance; this dimension was related to drought tolerance and death (e.g., SWC at 50% of the initial <italic>R</italic><sub>d</sub> and at a <italic>F</italic><sub><italic>v</italic></sub><italic>/F</italic><sub><italic>m</italic></sub> of 0.2), and to variations in &#x03A8;<sub><italic>tlp</italic></sub> when SWC changed from 25 to 10%, (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Results of principal component analysis of changes in physiological parameters in six dipterocarp species after stopping irrigation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1112852-g005.tif"/>
</fig>
<p>SP and SB exhibited an isohydric response, as illustrated by a rapid decline in <italic>gs</italic><sub>max</sub> and <italic>E</italic><sub>max</sub>, whereas DP, DrA, SS, and SC exhibited an anisohydric response, as evidenced by the late decline in PC1. Interestingly, DP, DrA, and SP showed increased drought resistance during the experiment, whereas SB, SC, and SS showed lower drought resistance in PC2. No significant correlations were found between PC1 or PC2 and the initial morphological and physiological characteristics of the six species (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 6</xref>).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The six tropical dipterocarp species studied herein showed different stomatal and gas exchange behaviors toward soil drought, even within the same family and genus. SP and SB exhibited an isohydric response, with relatively early stomatal closure and a greater reduction in photosynthesis and transpiration with decreasing SWC. Both of these species reached 90 and 50% of their <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub> values at higher SWC compared to the other species (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref> and <xref ref-type="table" rid="T1">Table 1</xref>). Conversely, DP, DrA, SC, and SS maintained relatively higher <italic>gs</italic><sub>max</sub> values at lower SWC, and maintained <italic>A</italic><sub>max</sub> and <italic>E</italic><sub>max</sub> until the SWC dropped to around 8%, which was followed by a rapid decline (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref> and <xref ref-type="table" rid="T1">Table 1</xref>); these trends are typical of an anisohydric response (<xref ref-type="bibr" rid="B51">Kumagai and Porporato, 2012</xref>; <xref ref-type="bibr" rid="B88">Roman et al., 2015</xref>). On the other hand, leaf water content may be a useful indicator of gas exchange parameters because the six species showed positive relations between leaf water content and <italic>A</italic><sub>max</sub>, <italic>E</italic><sub>max</sub>, and <italic>gs</italic><sub>max</sub>. A previous study also reported that leaf water content was associated with various physiological functions (<xref ref-type="bibr" rid="B50">Kramer, 1983</xref>). In addition, there were similar changes in leaf water content and gas exchange response during the soil drying. For example, the values of leaf water content, <italic>A</italic><sub>max</sub> and <italic>gs</italic><sub>max</sub> decreased rapidly at relatively high values of SWC in SP and SB (isohydric).</p>
<p>Although water stress under soil drying was greater in the anisohydric than isohydric species (<xref ref-type="fig" rid="F1">Figure 1F</xref>), plasticity in drought tolerance did not coincide with stomatal behavior or gas exchange during the drought experiment in some species. &#x03A8;<sub><italic>tlp</italic></sub> did not change significantly, or even increased, with decreasing SWC in SB, SC, and SS; however, for DP, DrA, and SP, &#x03A8;<sub><italic>tlp</italic></sub> showed a marked decrease during the soil-drying period (<xref ref-type="fig" rid="F3">Figure 3</xref>). Although a recent global synthesis revealed relatively low plasticity in &#x03A8;<sub><italic>tlp</italic></sub> in most species (<xref ref-type="bibr" rid="B7">Bartlett et al., 2014</xref>), high plasticity in &#x03A8;<sub><italic>tlp</italic></sub> has been reported in some anisohydric species (<xref ref-type="bibr" rid="B66">Meinzer et al., 1986</xref>, <xref ref-type="bibr" rid="B67">2014</xref>; <xref ref-type="bibr" rid="B62">Mart&#x00ED;nez-Vilalta and Garcia-Forner, 2017</xref>). Our findings suggest that there are two types of responses by tree species to soil drought: some species show high plasticity in &#x03A8;<sub><italic>tlp</italic></sub> with increasing tolerance to drought, such as SP (isohydric) and DP and DrA (anisohydric), whereas others show low plasticity without increasing drought resistance, such as SB (isohydric) and SC and SS (anisohydric). Thus, despite anisohydric stomatal control, SC experienced substantial drought stress with poor plasticity in drought tolerance during the experiment; it showed the earliest decrease in &#x03A8;<sub><italic>pd</italic></sub> and lowest final &#x03A8;<sub><italic>pd</italic></sub> during the soil-drying period among the six species (<xref ref-type="fig" rid="F1">Figure 1F</xref>).</p>
<p><xref ref-type="bibr" rid="B53">Kumagai et al. (2004</xref>, <xref ref-type="bibr" rid="B54">2005)</xref> observed an anisohydric response in the tropical rainforest in Lambir Hills National Park during an ENSO-induced severe drought (<xref ref-type="bibr" rid="B51">Kumagai and Porporato, 2012</xref>), possibly because many of the dominant dipterocarp species exhibited anisohydric responses to soil drying. In this study, four of the six studied dipterocarp species (DP, DrA, SS, and SC) exhibited an anisohydric-like response to drought in terms of stomatal regulation (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref> and <xref ref-type="fig" rid="F5">Figure 5</xref>). The response of forests to drought may be closely related to the behavior of the tree species forming the canopy and emergent layers, which generally make a large contribution to total carbon storage and water use in tropical rainforests (<xref ref-type="bibr" rid="B48">Kira, 1978</xref>; <xref ref-type="bibr" rid="B52">Kumagai et al., 2006</xref>; <xref ref-type="bibr" rid="B89">Rowland et al., 2015</xref>; <xref ref-type="bibr" rid="B64">McDowell et al., 2018</xref>). Although the present study focused on seedlings of dipterocarp species, if mature dipterocarp trees show a similar response to drought, the large number of tree species exhibiting anisohydric responses in this study may influence the forest-wide response to ENSO-induced drought. Supporting our findings, in a rainfall excursion experiment with mature DrA trees conducted in Lambir Hills National Park, stomatal conductance did not decrease significantly in response to soil drought (<xref ref-type="bibr" rid="B107">Yoshifuji et al., 2020</xref>); instead, leaf drought tolerance was enhanced <italic>via</italic> a decrease in &#x03A8;<sub><italic>tlp</italic></sub> (<xref ref-type="bibr" rid="B37">Inoue et al., 2017</xref>). The similar response by mature trees and seedlings of DrA suggests a close relationship between seedlings and mature trees with regard to drought response.</p>
<p>There was little difference in SWC-induced mortality among the six dipterocarp species studied, regardless of whether the response to drought was isohydric or anisohydric. Even though the response to drought varied widely among species, the timing of mortality was similar (<xref ref-type="fig" rid="F2">Figure 2</xref>). <xref ref-type="bibr" rid="B74">O&#x2019;Brien et al. (2014)</xref> showed that tropical tree seedlings, including dipterocarp species, depend on the accumulation of stored carbohydrates for survival under drought conditions. However, our findings suggest that, under short-term severe drought, dipterocarp species might experience poor osmoregulation with stored carbohydrates, leading to a similar timing of mortality. Higher plants accumulate osmolytes, such as proline and malondialdehyde, after exposure to water stress (<xref ref-type="bibr" rid="B45">Kavi Kishor et al., 2005</xref>); future studies should further clarify this response in dipterocarp species.</p>
<p>Although the soil conditions of the pots used in this study differed from the actual forest soil environment, which was less than 8% SWC in this study, drought events comparable to the SWC in this study have been recorded about every 10 years, including ENSO-induced strong droughts in Lambir Hills National Park (<xref ref-type="bibr" rid="B38">Ishizuka et al., 1998</xref>; <xref ref-type="bibr" rid="B55">Kumagai et al., 2009</xref>; <xref ref-type="bibr" rid="B51">Kumagai and Porporato, 2012</xref>; <xref ref-type="bibr" rid="B78">Ohashi et al., 2015</xref>). Such extreme soil drought conditions causing synchronous mortalities of seedlings of the six dipterocarp species at around 5% SWC in this study have not been recorded in Lambir Forest, but further climate change is likely to increase the severity and frequency of ENSO-induced droughts in Southeast Asian rainforests (<xref ref-type="bibr" rid="B96">Timmermann et al., 1999</xref>; <xref ref-type="bibr" rid="B11">Breshears et al., 2009</xref>; <xref ref-type="bibr" rid="B1">Allen et al., 2010</xref>; <xref ref-type="bibr" rid="B16">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Corlett, 2016</xref>; <xref ref-type="bibr" rid="B95">Thirumalai et al., 2017</xref>; <xref ref-type="bibr" rid="B103">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Cai et al., 2018</xref>; <xref ref-type="bibr" rid="B86">Rifai et al., 2019</xref>), which may alter rainforest structure. During shorter, less-severe droughts, differences in soil conditions may impact interspecific seedling survival. For example, SB, which has deep roots (<xref ref-type="supplementary-material" rid="DS1">Supplementary Appendix 2</xref>), may survive longer than the other species because it has access to deeper soil with higher SWC (<xref ref-type="bibr" rid="B92">Slot and Poorter, 2007</xref>; <xref ref-type="bibr" rid="B83">Poorter and Markesteijn, 2008</xref>; <xref ref-type="bibr" rid="B61">Markesteijn and Poorter, 2009</xref>). In addition, a lower &#x03A8;<sub><italic>tlp</italic></sub> may allow dipterocarp species to survive longer and recover after rainfall. The importance of seedling root depth to survival and recovery was reported in Bornean tropical rainforests subjected to severe drought events (<xref ref-type="bibr" rid="B14">Cao, 2000</xref>).</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>We conducted drought experiments on the seedlings of six dipterocarp species and observed different stomatal responses to drought, i.e., isohydric and anisohydric responses, which varied even within the same family. Interestingly, both isohydric and anisohydric species showed increased drought tolerance, while other isohydric and anisohydric species did not, indicating differences in the plasticity of drought tolerance regardless of whether there was a isohydric or anisohydric response. These findings indicate that an increase in the intensity and frequency of soil drought, as expected in tropical rainforests under climate change, may significantly alter forest dynamics and carbon and water cycles. Further research is needed to better predict the dynamics of seedling regeneration and drought-induced mortality in tropical rain forests under future climate change.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7" sec-type="author-contributions">
<title>Author contributions</title>
<p>TI, TT, YI, and TK conducted the drought experiment and measured physiological parameters. TI, SI, and TK interpreted results and wrote the manuscript. MM made site preparations. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This research was partly supported by a Grant-in-Aid for Scientific Research (Nos. 16K07795, 17H04623, 18H04149, and 21H05316) from the Ministry of Education, Science and Culture and by a JST/JICA-SATREPS (PUBS).</p>
</sec>
<ack><p>We are grateful to the Forest Department, Sarawak and Sarawak Forestry Corporation for their kind support for this study.</p>
</ack>
<sec id="S9" sec-type="COI-statement">
<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 id="S10" sec-type="disclaimer">
<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>
<sec id="S11" 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/ffgc.2023.1112852/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/ffgc.2023.1112852/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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