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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.2023.1236933</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>The change pattern of CSR ecological strategy of trees and seedlings during different succession stages in tropical lowland rainforests</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wen</surname> <given-names>Yabo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2065481/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Chen</surname> <given-names>Chen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2340078/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Tianxu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Yuwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Han</surname> <given-names>Xuejiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Baohui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lu</surname> <given-names>Xinghui</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/2337728/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Agronomy and Agricultural Engineering, Liaocheng University</institution>, <addr-line>Liaocheng</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Forestry, Henan Agricultural University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Country Shandong Territorial Spatial Planning Institute</institution>, <addr-line>Jinan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Wen Xing Long, Hainan University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wande Liu, Chinese Academy of Forestry, China; Grazielle Sales Teodoro, Federal University of Par&#x00E1;, Brazil</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xinghui Lu, <email>luxinghui_0@163.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>6</volume>
<elocation-id>1236933</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Wen, Chen, Sun, Yang, Han, He and Lu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wen, Chen, Sun, Yang, Han, He and Lu</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>Monitoring changes to growth-survival strategies is beneficial during plant growth and development to understand the dynamics of community succession. We measured key leaf traits and calculated competition, stress-tolerance, and ruderals ecological strategy scores for trees and seedlings in different successional stages in tropical lowland rain forests. We analyzed functional trait patterns and CSR strategies with plant growth and development through the different succession stages. We found that trees used strategies that were shifted from S/CS and CS strategies to CS/CSR strategies along the succession. However, seedlings maintained the use of the S/CSR strategy. Seedlings showed lower leaf dry matter content, higher specific leaf area, and their leaf area was relatively conservative. We also observed that the functional traits of seedlings and large trees showed basically consistent changes through each succession stage. Using the standard deviation of C-, S-, and R-scores, we found that the ecological strategy width of trees is smaller, while seedlings have a wider range of ecological strategies. Together, this information can be used to define plant succession changes with functional plant trait changes using different CSR ecological strategies in tropical rainforests that are a threated due to human activities. The research results provide scientific basis for understanding the strategic change of plant growth and predicting the direction of forest function succession, and also provide theoretical support for the management of tropical lowland rainforest in China.</p>
</abstract>
<kwd-group>
<kwd>CSR strategy</kwd>
<kwd>plant functional traits</kwd>
<kwd>forest succession dynamics</kwd>
<kwd>seedlings</kwd>
<kwd>leaf traits</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="10"/>
<word-count count="7793"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Forest Growth</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1. Introduction</title>
<p>During the process of plant development, plant functional traits will change during different growth stages due to constant environmental change and self-regulation (<xref ref-type="bibr" rid="B44">Osunkoya, 1996</xref>; <xref ref-type="bibr" rid="B36">Lu et al., 2014</xref>; <xref ref-type="bibr" rid="B29">Henn and Damschen, 2021</xref>). In this process, there is also continuous competition for the use of limited resources between the different functional plant organs (<xref ref-type="bibr" rid="B58">Westley, 1993</xref>; <xref ref-type="bibr" rid="B12">Craine and Dybzinski, 2013</xref>). In order to adapt to the environment, the distribution of plant resources need to be optimized for the plant to grow, reproduce, and survive. Plant functional traits reflect physiological trade-offs that correspond to different resource acquisition strategies and environmental challenges (<xref ref-type="bibr" rid="B19">Falster et al., 2018</xref>; <xref ref-type="bibr" rid="B27">Hanisch et al., 2020</xref>). Therefore, quantifying functional traits is a powerful index used to measure the life cycle strategies of plants (<xref ref-type="bibr" rid="B22">Grime, 1974</xref>, <xref ref-type="bibr" rid="B23">1977</xref>, <xref ref-type="bibr" rid="B21">2001</xref>; <xref ref-type="bibr" rid="B59">Westoby and Wright, 2003</xref>). We can learn more about the functional transformation of the plant growth process and the functional traits of the community in the succession process by locating plant ecological strategy.</p>
<p>Many biological processes change with the growth of plants. Previous studies have generally shown that leaf traits change significantly during ontogeny (<xref ref-type="bibr" rid="B55">Souza et al., 2021</xref>; <xref ref-type="bibr" rid="B40">Mediavilla et al., 2022</xref>). Compared with late succession species, specific leaf area (SLA) decrease during development is obvious in pioneer species (<xref ref-type="bibr" rid="B9">Chelli et al., 2022</xref>). SLA reflects the ability of leaves to obtain resources. High SLA is beneficial to the expansion of plants, but it reduces the defensive ability of leaves. The constant change of plant functional traits reflects the life strategy of plants to obtain resources for conservative survival, expanding plant scale or reproductive evolution. If the environmental factors are arranged as a resource axis, at one end of the resource axis, there are plants that respond quickly to the functional performance of resources, and at the other end, there are plants that respond highly to the functional performance of resources. With the axis of resources, a series of functional features represent different ecological strategies. The different functional traits and combinations of plants reflect the different environmental atmosphere and the distribution and utilization of the obtained resources by plants themselves, and then reflect the results of plant community construction, which is of great significance for maintaining biodiversity. Thus, many functional traits are considered to play an important role in the performance and strategies of plants (<xref ref-type="bibr" rid="B15">Diaz et al., 2004</xref>; <xref ref-type="bibr" rid="B16">D&#x00ED;az et al., 2016</xref>). <xref ref-type="bibr" rid="B48">Pierce et al. (2017a)</xref> found that the quantitative relationship between three key leaf functional traits in plants, namely specific leaf area, leaf dry matter content and leaf area, are used to judge the ecological strategies of an individual or group of plants (<xref ref-type="bibr" rid="B47">Pierce et al., 2013</xref>, <xref ref-type="bibr" rid="B48">2017a</xref>). Since the three leaf traits are applicable to all vascular plant life worldwide, they represent a wide range of plant functions including (1) leaf area, which largely determines the light-intercepting capacity of plants (<xref ref-type="bibr" rid="B16">D&#x00ED;az et al., 2016</xref>), and constitutes an indicator of the plant organ size spectrum, and (2) The higher leaf dry matter content and lower specific leaf area helps to classify the conservative strategies and the opposite, in the other extreme, an acquisitive strategy (<xref ref-type="bibr" rid="B61">Wright et al., 2004</xref>; <xref ref-type="bibr" rid="B34">Kattge et al., 2011</xref>). The results from different studies show that the intraspecific variability of competition, stress-tolerance, and ruderals strategies in trees is also different during the developmental process, which may show complex changes between ontogeny stages (<xref ref-type="bibr" rid="B20">Giupponi, 2020</xref>). The plant trait changes play important roles in understanding how plants adjust their life history strategies to adapt to the environment during ontogenetic development. However, there are few reports that have explored the changes of functional traits and ecological strategy during the growth of plants. Investigating these plant trait changes during ontogeny will play an important role in understanding how plants adjust their life history strategies to adapt to the environment (<xref ref-type="bibr" rid="B54">Rusman et al., 2020</xref>).</p>
<p>The CSR strategies of plants are divided into three fundamental types: competitive (C), stress-tolerant (S) and ruderal (R), and there are also some intermediate types (<xref ref-type="bibr" rid="B22">Grime, 1974</xref>, <xref ref-type="bibr" rid="B23">1977</xref>, <xref ref-type="bibr" rid="B21">2001</xref>; <xref ref-type="bibr" rid="B30">Hodgson et al., 1999</xref>). Among them, the plants with C- competition strategy in the CSR strategy theory will quickly monopolize the capture of resources through the dynamic search of roots and stems in space. These traits only appear in habitats with abundant resources, no interference, and no fierce competition, and they are difficult to show in habitats with poor resources or long-term interference. Plants with S-tolerant strategy usually resist the bite of herbivores by maintaining tissue and alleviating the stress caused by mineral nutrition deficiency in the environment, which is easy to happen in harsh habitats. Plants adopting R- ruderal strategy have a short life history, and usually put the acquired resources into reproduction, which is suitable for long-term survival in the environment with frequent interference (<xref ref-type="bibr" rid="B48">Pierce et al., 2017a</xref>). Therefore, this method can link the ecological strategy of plants with the variation space of functional traits, and make use of the scale flexibility of traits to apply CSR strategy analysis to ecological research at different levels, such as species, communities, and ecosystems (<xref ref-type="bibr" rid="B42">Negreiros et al., 2014</xref>; <xref ref-type="bibr" rid="B1">Araujo da Costa et al., 2020</xref>; <xref ref-type="bibr" rid="B25">Han et al., 2022b</xref>; <xref ref-type="bibr" rid="B41">Moeneclaey et al., 2022</xref>).</p>
<p>The succession of plant communities is governed by changes in the community assembly process and species traits (<xref ref-type="bibr" rid="B4">Bhaskar et al., 2014</xref>). A deeper understanding of the mechanisms that drive succession could help to mitigate losses of biodiversity and ecosystem function. Functional traits have also been used to understand and predict community and ecosystem functions (<xref ref-type="bibr" rid="B15">Diaz et al., 2004</xref>), as well as to understand the patterns of functional diversity and the coexistence of species along successional gradients (<xref ref-type="bibr" rid="B31">Hu et al., 2014</xref>; <xref ref-type="bibr" rid="B65">Zhang et al., 2018</xref>; <xref ref-type="bibr" rid="B60">White et al., 2022</xref>). However, there are few studies on the changes of plant functional traits in the process of succession, which is of great significance for understanding forest development and predicting the direction of forest functional changes. Thus, understanding the functional traits of seedlings and trees in different successional stages and ecological strategies can provide insights that support community assembly and help to expand research on ecosystem function.</p>
<p>Although both seedlings and trees of tropical forest woody plants exhibit the same growth-survival trade-off patterns (<xref ref-type="bibr" rid="B6">Capers et al., 2005</xref>; <xref ref-type="bibr" rid="B11">Comita et al., 2007</xref>; <xref ref-type="bibr" rid="B36">Lu et al., 2014</xref>), it is not clear whether these species occupy the same niche at different growth and developmental stages. In the history of plant life, the seedling stage is the period when individual plants are most vulnerable to growth and most sensitive to habitat changes (<xref ref-type="bibr" rid="B28">Hanley et al., 2004</xref>). However, previous studies have shown that seedlings show higher SLA and LA and lower LDMC, which indicates that they have a stronger ability to cope with high-level interference (<xref ref-type="bibr" rid="B13">Dayrell et al., 2018</xref>; <xref ref-type="bibr" rid="B66">Zhang and Wang, 2021</xref>). Most likely, there is little habitat filtration in the early succession stage that shows greater differences in CSR ecological strategies (<xref ref-type="bibr" rid="B51">Raevel et al., 2012</xref>). However, trees undergo the filtration of temperature, light, soil moisture, and soil nutrients for a longer time, so their functions are more convergent. And finally form the S strategy with high construction cost and slow benefits (<xref ref-type="bibr" rid="B26">Han et al., 2022a</xref>). Therefore, habitat filtering will lead to different ecological strategies of the same species in different habitats and development stages (<xref ref-type="bibr" rid="B14">de Paula et al., 2015</xref>). Previous research showed that the intraspecific changes of C, S, and R strategy scores greatly reflect the variability of ecological strategy breadth in the growth and development of seedlings or trees (<xref ref-type="bibr" rid="B38">May et al., 2017</xref>). Therefore, we should pay more attention to intraspecific variation in the study of plant ecological strategies based on functional traits.</p>
<p>Studying of growth-survival strategy changes during plant growth and development is helpful to understand the dynamic processes of these communities. There are secondary forests and undisturbed aged forest communities in different succession stages after slash-and-burn disturbance in tropical lowland rainforest in Bawangling, Hainan. These forests provide a good study site to understand functional traits and ecological strategies from the perspective of seedlings and trees through varied successional stages. Here, our goal was to investigate the developmental shifts in plant ecological strategies by assessing the mean and the variability of CSR scores of species at two developmental stages. We compared the seedling and tree stages of coexisting species in four successional forests to investigate the following questions: (a) What are the CSR ecological strategies of seedlings and trees in different succession stages? and (b) How do the interspecific variation of seedlings and trees change? Our hypothesis was that the functional traits of coexisting tree species will change at different growth stages and different succession stages. As the tree has experienced a longer period of biomass accumulation, we predicted that with the growth, the leaf area of the tree is higher than that of the seedling. Seedlings are more fragile and have poor resistance. We predicted that the specific leaf area of seedlings is larger and the dry matter content of leaves is smaller than trees. With the succession, the specific leaf area first increased and then decreased, and the dry matter content first decreased and then increased. Seedlings are inclined to R-selection, while trees are more inclined to C-S strategies. We predict that compared to trees, seedlings have more diverse functions and wider ecological strategies. Ultimately, these results will provide fundamental plant functional trait characterizations for CSR ecological strategies through different sessional stages.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2. Materials and methods</title>
<sec id="S2.SS1">
<title>2.1. Study site</title>
<p>This study was carried out in the Bawangling Forest Region on Hainan Island (18&#x00B0;52&#x2032;-19&#x00B0;12&#x2032; N, 108&#x00B0;53&#x2032;-109&#x00B0;20&#x2032; E), China (<xref ref-type="bibr" rid="B17">Ding and Zang, 2009</xref>). The study focused on the tropical lowland rainforest (&#x003C;800 m asl) where the mean annual temperature is 23.6&#x00B0;C, and the annual precipitation is 1,677 mm. We have established 8 sample plots of 1 hm<sup>2</sup> (100 m &#x00D7; 100 m) tropical lowland rain forest community, including four succession stages. Two in the secondary forest abandoned 18 years ago (LSA1, LSA2), two in the secondary forest abandoned 30 years ago (LSB1, LSB2), two in the secondary forest abandoned 60 years ago (LSD1, LSD2), and two in no-disturbance old-growth forest (LOG1, LOG2). Secondary forests were naturally recovered after shifting cultivation. The secondary succession of forest vegetation and its environment have not recovered to the level of old forest. The historical data of land use can be found in the management records of Bawangling Forestry Bureau of Hainan Province.</p>
<p>Each plot is subdivided into 25 subplots (20 m &#x00D7; 20 m) for community investigation and environmental factor determination. The species name, diameter at 1.3 m height (DBH), and height of all the standing woody stems (excluding lianas; &#x2265;1 cm DBH) were recorded in each plot. At the center of each plot, we established a 2 &#x00D7; 2 m seedling plot within that were tagged, measured, and identified for all the woody seedlings (&#x003C;1 cm DBH).</p>
</sec>
<sec id="S2.SS2">
<title>2.2. Data collection</title>
<p>Through the statistical classification of four succession stages of species, 13 co-existing tree species were found in this study. Thirteen successional co-existing tree species were taken as the research objects for the follow-up study of this paper. See <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref> for co-existing species information. To compare individual changes in leaf traits and CSR strategies for different succession stages, we sampled seedlings and trees in 8 plots of 1 hm<sup>2</sup>. We defined woody plants as seedlings when the DBH was less than 1 cm, and trees were defined as woody plants whose DBH was greater than 1 cm. According to the individual development stages of woody plants, the leaves of seedlings and trees were sampled extensively (<italic>n</italic> = 13 species in total, including <italic>n</italic> = 5 shrubs, <italic>n</italic> = 6 trees, and <italic>n</italic> = 2 lianas).</p>
<p>To compare developmental stages, we also targeted large trees of the same species (when possible) and sampled at least <italic>n</italic> = 8 in areas where young trees were also sampled. In all, we measured the functional characteristics of <italic>n</italic> = 13 trees and <italic>n</italic> = 6 seedlings. In the early stages of succession, forests had sufficient light resources and stable environment, often finding many large trees and seedlings of the same species in the same place. However, the patterns presented by species in the middle and late stages of succession were not the same, with very few species having at least 8 individuals in our sampling area, which resulted in a smaller sample size of seedlings after succession. In our sampling work, only 6 species of seedlings were found in the middle and late stages of succession (<xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>2.3. Functional traits collection</title>
<p>We collected three main leaf functional traits, leaf area (LA, mm<sup>2</sup>), specific leaf area (SLA, mm<sup>2</sup> mg<sup>&#x2013;1</sup>) and leaf dry matter content (LDMC,%). We collected 2&#x2013;5 recently expanded, non-senescent leaves from multiple branches following the methods and criteria from <xref ref-type="bibr" rid="B46">P&#x00E9;rez-Harguindeguy et al. (2013)</xref> for each individual. Leaf area was measured for each leaf or leaflet using ImageJ (from the US National Institutes of Health; <ext-link ext-link-type="uri" xlink:href="http://www.nih.gov/">http://www.nih.gov/</ext-link>, accessed 22 August 2021) after scanning. The leaf fresh weight (LFW, mg) is weighed by a balance with an accuracy of one ten thousandth. Each leaf was then placed in a drying oven for a minimum of 48 h at 80&#x00B0;C and dry them to a constant weight, then the final dry mass was recorded (LDW, mg). From these measurements, we calculated leaf dry matter content (LDMC,%) and specific leaf area (SLA, mm<sup>2</sup> mg<sup>&#x2013;1</sup>).</p>
</sec>
<sec id="S2.SS4">
<title>2.4. Statistical analyses</title>
<p>&#x201C;StrateFy,&#x201D; a tool for analyzing CSR strategies, has been developed to compare these different strategies in plants. The advantage of this method is that only three easily accessible leaf traits (LA, LDMC, SLA) are used to represent the extremes of a trade-off between large size and conservative versus acquisitive economics (<xref ref-type="bibr" rid="B48">Pierce et al., 2017a</xref>). This method is applicable to vascular plants all over the world and can be used to compare the functional traits of different ecological scales, such as communities (<xref ref-type="bibr" rid="B7">Cerabolini et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Pierce et al., 2017a</xref>; <xref ref-type="bibr" rid="B63">Zanzottera et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Han et al., 2022b</xref>), species (<xref ref-type="bibr" rid="B47">Pierce et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Rosado and Mattos, 2017</xref>; <xref ref-type="bibr" rid="B57">Wen et al., 2022</xref>), individuals (<xref ref-type="bibr" rid="B38">May et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Dayrell et al., 2018</xref>), and succession stages (<xref ref-type="bibr" rid="B5">Caccianiga et al., 2006</xref>; <xref ref-type="bibr" rid="B8">Chai et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2023</xref>) to calculate their ecological strategies. Therefore, &#x201C;StrateFy&#x201D; is considered to be an important tool to detect the variation of plant functional characters (<xref ref-type="bibr" rid="B49">Pierce et al., 2017b</xref>; <xref ref-type="bibr" rid="B64">Zanzottera et al., 2020</xref>). We used &#x201C;StrateFy&#x201D; to calculate C-, S- and R-selection scores for each individual based on their SLA, LDMC, and LA values and visualized the distribution pattern of ecological strategies for trees and seedlings in differ succession stage by &#x201C;SigmaPlot&#x201D; 10.0 (Systat Software, Inc., Chicago, IL, USA). The values of leaf traits and CSR strategy for each stage and species are in <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 2</xref>. In order to compare the differences of functional traits and ecological strategies between seedlings and trees, non-parametric Kruskal&#x2013;Wallis and Wilcoxon tests (&#x201C;ggbarplot&#x201D; function in &#x201C;ggpubr&#x201D; package in R) (<xref ref-type="bibr" rid="B33">Kassambara, 2023</xref>) were implemented.</p>
<p>We used linear mixed-effect models to test whether two developmental stages from the 4 successional stages exhibited different leaf trait values (log-transformed SLA, log-transformed LA and LDMC) and C-, S-, and R-values. We have constructed a set of models including the fixed effects for development stages, succession, and their interactions, and the random effects of plant species. The significance was estimated by comparing a minimum model with the null model. The random effect was included in order to control for non-accounted differences between groups. We then generated a full set of models using the &#x201C;dredge&#x201D; function in the &#x201C;MuMIn&#x201D; package (<xref ref-type="bibr" rid="B2">Barto&#x0144;, 2022</xref>). These models were ranked using the Akaike information criterion corrected for small sample size (AICc), and the model with the lowest AICc value was selected as the best model.</p>
<p>After, we used the standard deviation (SD) of the C-, S-, and R- values to obtain ecological strategy width for each species at each developmental stage as a measurement of variation in functional strategies within groups of trees or seedlings to assess ontogeny- and succession-related shifts in the width of ecological strategies. According to the method of <xref ref-type="bibr" rid="B13">Dayrell et al. (2018)</xref>, the lower the SD value of CSR score, the smaller the width of ecological strategy of plants. We used Paired test (&#x201C;ggwithinstats&#x201D; function in &#x201C;ggstatsplot&#x201D; package in R) (<xref ref-type="bibr" rid="B45">Patil, 2021</xref>) to compare the niche differences of conspecific seedlings and trees. All statistical analyses were performed in R 4.0.3 (<xref ref-type="bibr" rid="B50">R Core Team, 2022</xref>).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3. Results</title>
<p>For the entire succession cycle, there were significant differences in LA, SLA, and LDMC between seedlings and trees (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref>), and seedlings showed higher leaf economic structure (higher SLA and lower LDMC; <xref ref-type="fig" rid="F1">Figures 1B, C</xref>), and their leaves were relatively similar in size (<xref ref-type="fig" rid="F1">Figure 1A</xref>). In contrast, we also observed that the functional traits of seedlings and trees showed basically consistent changes through each succession stage. SLA of trees and seedlings showed an upward trend, while LDMC showed a downward trend. Both seedlings and trees had higher LA in 60 yr forest (<xref ref-type="fig" rid="F1">Figure 1A</xref>), while the LDMC was lower (<xref ref-type="fig" rid="F1">Figure 1C</xref>). The SLA of the trees were higher in the 60 yr forests (<xref ref-type="fig" rid="F1">Figure 1B</xref>), but the seedlings were higher in the OG stage (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Ontogenetic shifts in leaf traits for seedlings (blue box) and trees (yellow box) from four successional stages in the tropical lowland rainforests. Comparisons of functional trait values between succession and developmental stages of: <bold>(A)</bold> leaf area (LA; mm<sup>2</sup>), <bold>(B)</bold> specific leaf area (SLA; mm<sup>2</sup> mg<sup>&#x2013; 1</sup>), and <bold>(C)</bold> leaf dry matter content (LDMC;%) (18 yr, 18-year-old forest; 30 yr, 30-year-old forest; 60 yr, 60-year-old forest; OG, old-growth forest). Within each individual plot, Kruskal&#x2013;Wallis tests and Wilcoxon tests were conducted where ns (<italic>p</italic> &#x003E; 0.05) indicates non-significant differences between the different stages, &#x002A; (<italic>p</italic> &#x003C; 0.05), &#x002A;&#x002A; (<italic>p</italic> &#x003C; 0.01), and &#x002A;&#x002A;&#x002A;&#x002A; (<italic>p</italic> &#x003C; 0.0001) indicates a significant difference among stages.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1236933-g001.tif"/>
</fig>
<p>We also found that trees from the 18 yr forest was mainly concentrated around the S/CS region of the triangle (mean C: S: R strategy = 34:63:3%; <xref ref-type="fig" rid="F2">Figures 2A</xref>, <xref ref-type="fig" rid="F3">3</xref>), while seedlings were mainly S/CSR (28: 53: 19%; <xref ref-type="fig" rid="F2">Figures 2A</xref>, <xref ref-type="fig" rid="F3">3</xref>). Further, trees from the 30 yr forest were mainly S/CS (31: 63: 5%; <xref ref-type="fig" rid="F2">Figures 2B</xref>, <xref ref-type="fig" rid="F3">3</xref>), and the seedlings showed S/CSR (30: 55: 15%; <xref ref-type="fig" rid="F2">Figures 2B</xref>, <xref ref-type="fig" rid="F3">3</xref>) strategies. Interestingly, we found that trees from the 60 yr forest exhibited a mean strategy of CS/CSR (39:49:11%; <xref ref-type="fig" rid="F2">Figures 2C</xref>, <xref ref-type="fig" rid="F3">3</xref>), whereas seedlings showed S/CSR (30: 54: 15%; <xref ref-type="fig" rid="F2">Figures 2C</xref>, <xref ref-type="fig" rid="F3">3</xref>). Trees from OG forest exhibited a mean strategy of CS/CSR (39: 49: 12%; <xref ref-type="fig" rid="F2">Figures 2D</xref>, <xref ref-type="fig" rid="F3">3</xref>), seedlings were mainly concentrated around the S/CSR region of the triangle (mean C:S: R strategy = 25: 57: 18%; <xref ref-type="fig" rid="F2">Figures 2D</xref>, <xref ref-type="fig" rid="F3">3</xref>). From these results, we found that the strategic positioning of trees were along the C-S axis of the CSR triangle, and the R component contributed little (<xref ref-type="fig" rid="F2">Figure 2</xref>). However, the C- and S- value of seedlings seemed to decrease, and the R value was higher than trees (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Individual development shifts in CSR strategies for the four successional stages in tropical lowland rainforests. Shifts in the relative proportion of C-, S-, and R-selection are represented by the direction of the arrows [from seedlings (blue dots) to trees (yellow dots)] in the ternary plot. Plant species from: <bold>(A)</bold> 18 years old forest, <bold>(B)</bold> 30 years old forest, <bold>(C)</bold> 60 years old forest, and <bold>(D)</bold> old growth forest.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1236933-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Changes in C-, S-, and R-values of trees (yellow box) and seedlings (blue box) in different succession stages in tropical lowland rainforests in Hainan Island, China. <bold>(A)</bold> C component (C;%), <bold>(B)</bold> S component (S;%), and <bold>(C)</bold> R component (R;%) (18 yr, 18-year-old forest; 30 yr, 30-year-old forest; 60 yr, 60-year-old forest; OG, old-growth forest). &#x002A; (<italic>p</italic> &#x003C; 0.05), &#x002A;&#x002A; (<italic>p</italic> &#x003C; 0.01), &#x002A;&#x002A;&#x002A; (<italic>p</italic> &#x003C; 0.001), and &#x002A;&#x002A;&#x002A;&#x002A; (<italic>p</italic> &#x003C; 0.0001) indicate significant differences according to Wilcoxon tests.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1236933-g003.tif"/>
</fig>
<p>A higher SD in CSR score indicates a wider strategic scope, while a lower SD indicates a smaller strategic width. Our results showed that the width of ecological strategy depends on the succession stage and individual development. <xref ref-type="fig" rid="F4">Figure 4</xref> showed that there were significant differences between 18 yr and 30 yr forests in CSR standard deviations (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;F</xref>, <italic>P</italic> &#x003C; 0.05). The SD in R-score of seedlings was approximately 4&#x2013;6 times and 1&#x2013;2 times higher than trees from the same plant, respectively (<xref ref-type="fig" rid="F4">Figures 4C, F</xref>), but C- and S-components was no significant difference. In 60 yr forests, there is no obvious difference in ecological strategy breadth between seedlings and trees (<xref ref-type="fig" rid="F4">Figures 4G&#x2013;I</xref>). In OG forest, due to the small sample size, we give a set of mean SD, and the S-SD of seedlings was 2&#x2013;4 times that of trees, showing significant differences.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Standard deviation (SD) values in C-, S-, and R- component compared between seedlings (green) and trees (orange) in four successional forests. [18 yr, <bold>(A&#x2013;C)</bold>; 30 yr, <bold>(D&#x2013;F)</bold>; 60 yr, <bold>(G&#x2013;I)</bold>; OG, <bold>(J&#x2013;L)</bold>]. The dotted line connects SD values of conspecific seedlings and trees.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ffgc-06-1236933-g004.tif"/>
</fig>
<p>These results from the mixed model show that the succession stage, developmental stage, and their interaction explain C-, S-, R-selection and LDMC values. This trend indicates that many factors need to be considered in their coexistence mechanism, and any difference in light, temperature, moisture, soil, and other factors may have a direct impact on community construction. However, it is worth noting that the final model for LA and SLA included only the developmental stage and succession stage (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Linear mixed-effects models for plant ecological strategy values and functional traits for each individual&#x2019;s development.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Data</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Model ID</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Model</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">logL</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">AICc</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x0394; AICc</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">C (%)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">C &#x223C; development + succession stages + development: succession stages + (1 | species)</td>
<td valign="top" align="center">&#x2212;1515.969</td>
<td valign="top" align="center">3052.4</td>
<td valign="top" align="center">138.2</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">C&#x223C;1 + (1 | species)</td>
<td valign="top" align="center">&#x2212;1592.269</td>
<td valign="top" align="center">3190.6</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">R (%)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">R&#x223C; development + succession stages + development: succession stages + (1 | species)</td>
<td valign="top" align="center">&#x2212;1594.042</td>
<td valign="top" align="center">3208.6</td>
<td valign="top" align="center">336.8</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">R&#x223C;1 + (1 | species)</td>
<td valign="top" align="center">&#x2212;1769.677</td>
<td valign="top" align="center">3545.4</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">S (%)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">S &#x223C; development + succession stages + development: succession stages + (1 | species)</td>
<td valign="top" align="center">&#x2212;1670.21</td>
<td valign="top" align="center">3360.9</td>
<td valign="top" align="center">184.7</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">S &#x223C; 1 + (1 | species)</td>
<td valign="top" align="center">&#x2212;1769.786</td>
<td valign="top" align="center">3545.6</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">logSLA (mm<sup>2</sup><break/> /mg)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">logSLA&#x223C; development + succession stages + (1 | species)</td>
<td valign="top" align="center">189.750</td>
<td valign="top" align="center">&#x2212;365.2</td>
<td valign="top" align="center">334.3</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">logLA&#x223C;1 + (1 | species)</td>
<td valign="top" align="center">18.498</td>
<td valign="top" align="center">&#x2212;30.9</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">LDMC (%)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">LDMC &#x223C; development + succession stages + development: succession stages + (1 | species)</td>
<td valign="top" align="center">&#x2212;1477.505</td>
<td valign="top" align="center">2975.5</td>
<td valign="top" align="center">93.2</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">LDMC&#x223C;1 + (1 | species)</td>
<td valign="top" align="center">&#x2212;1531.34</td>
<td valign="top" align="center">3068.7</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">logLA (mm2)</td>
<td valign="top" align="center">MM</td>
<td valign="top" align="center">logLA&#x223C; development + succession stages + (1 | species)</td>
<td valign="top" align="center">12.404</td>
<td valign="top" align="center">&#x2212;10.6</td>
<td valign="top" align="center">26.9</td>
<td valign="top" align="center"><bold>&#x003C;0.0001<xref ref-type="table-fn" rid="t1fns3">&#x002A;&#x002A;&#x002A;</xref></bold></td>
</tr>
<tr>
<td valign="top" align="center">null</td>
<td valign="top" align="center">logLA&#x223C;1 + (1 | species)</td>
<td valign="top" align="center">&#x2212;5.113</td>
<td valign="top" align="center">16.3</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns3"><p>Analysis of linear mixed-effect model testing the effect of developmental stage and different successional forests on log-specific leaf area (logSLA), leaf dry matter content (LDMC), log-transformed leaf area (LA), and C-, S-, and R-scores in plants from tropical lowland rainforest in Hainan Island, China. Significance was estimated by comparing minimal model (MM) with the null model (null). The Akaike&#x2019;s information criterion with a correction for finite sample sizes (AICc) represents the uncertainty of the model whereby lower AICc values represent the more parsimonious models. Log L is the log-likelihood. &#x0394;AICc is the difference in AICc values between minimal and null models. &#x002A;&#x002A;&#x002A;(<italic>p</italic> &#x003C; 0.0001). Bold fonts represent the strong significance.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4" sec-type="discussion">
<title>4. Discussion</title>
<p>Trait-based ecology is a powerful method to understand the strategies that support the life history of species and the mechanism of community and ecosystem dynamics. Our research showed that ecological strategy&#x2019;s quantification integrates many traits, allows the transferability and predictive ability of the results, and has important ramifications for forest regeneration and the maintenance of species diversity. Plants arranged according to the basic trade-offs described by CSR theory will change for different individuals with each ecological strategy in the succession stages. The ecological strategies of the plants are related to the variation space of the functional traits, which allows us to study their changes during growth and development under CSR theory (<xref ref-type="bibr" rid="B23">Grime, 1977</xref>; <xref ref-type="bibr" rid="B66">Zhang and Wang, 2021</xref>). The flexibility of functional traits makes CSR strategy analysis applied to different levels of ecological research, such as species, communities, and ecosystems, which brings us a new perspective on functional traits research. This trait-based method can provide an assessment of ecological strategy breadth for many potential species so that it is possible to understand and predict species ecological strategy width changes under environmental changes. In this work, we evaluated the functional traits of coexisting species and the transformation mode of ecological strategies in the process of forest succession and growth. We found that succession has a significant effect on the functional traits of trees and seedlings. There are significant differences in functional traits of plants in the two growth stages, and the combination of functional traits, that is, the way to balance and utilize resources, has also changed. Based on the coexisting species, we also found that the ecological strategies have differentiated within conspecific species. We also found that the functional traits and ecological strategies of seedlings are more differentiated than those of trees.</p>
<p>The findings demonstrated that functional traits between seedlings and trees at various phases of succession varied significantly. Many ecologists study community association rules from the perspective of plant functional traits (<xref ref-type="bibr" rid="B39">McGill et al., 2006</xref>; <xref ref-type="bibr" rid="B52">Reich, 2014</xref>). However, there are few reports that have explored the changes of functional traits during the growth of plants. Our studies have shown that seedlings exhibit smaller LDMC and higher SLA than trees, which has been confirmed by other studies (<xref ref-type="bibr" rid="B37">Mason et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B62">Ye et al., 2023</xref>). Previous research has shown that as plants develop from seedlings (higher SLA) to trees (higher LDMC), they tend to put more effort into fortifying their defenses and fending off physical harm (<xref ref-type="bibr" rid="B35">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B13">Dayrell et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Falster et al., 2018</xref>; <xref ref-type="bibr" rid="B43">Ochoa-L&#x00F3;pez et al., 2020</xref>). With the change in the succession stage, our studies found the LA of seedlings steadily increased, although it was still much lower than that of tree-layer plants at the same time. The SLA of seedlings gradually increased with the increase of the succession stage, which was significantly higher than tree layer vegetation. LDMC gradually decreased with succession, which was considerably lower than the tree layer. When plants transition from seedlings (high SLA is beneficial to their rapid growth) to trees (high LDMC), plants often invest more in building defenses and resisting physical injuries in their later years. This can be explained by the transition of plants into tissues with more conservative traits. This demonstrated that different developmental stages of plant communities have varying levels of resource adaptability and can select the optimum ecological strategy to adapt to shifting environmental conditions (<xref ref-type="bibr" rid="B22">Grime, 1974</xref>, <xref ref-type="bibr" rid="B23">1977</xref>). Moreover, the ecological strategy width difference between seedlings and trees can only describe species differentiation in multiple ecological dimensions by the trade-off of traits (<xref ref-type="bibr" rid="B56">Wang et al., 2022</xref>).</p>
<p>This study found significant differences in ecological strategies in two developmental stages along four succession stages. We also found that the ecological strategy of trees seems to be dominated by C/S selection, and only the component R contributed little, which has also been found in previous studies (<xref ref-type="bibr" rid="B24">Han et al., 2021</xref>; <xref ref-type="bibr" rid="B57">Wen et al., 2022</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2023</xref>). Yet, compared to trees, seedlings&#x2019; ecological strategy focuses more on S/CSR and has a higher R component. It may be because, in 18 and 30-year-old forests, seedlings are easily disturbed and destroyed, the forest is in the early stages of succession, and it is resource-rich but also subject to significant environmental change. These characteristics make R-strategy species with robust reproductive capacities more likely to survive. Our research has also demonstrated that the R component of trees increases with succession, which indicates that trees invest more in growth rate in the early stage of development to cope with higher levels of disturbance (<xref ref-type="bibr" rid="B66">Zhang and Wang, 2021</xref>). Therefore, higher LDMC (<xref ref-type="bibr" rid="B61">Wright et al., 2004</xref>; <xref ref-type="bibr" rid="B18">Donovan et al., 2011</xref>) for trees is maintained to balance the input of leaf defense structure to prevent water loss and retain nutrients by acquiring more carbon, nitrogen, and phosphorus resources to cope with unfavorable conditions (<xref ref-type="bibr" rid="B21">Grime, 2001</xref>). Seedlings are the most competitive in 60 yr forests, which may be because they use strategies to accumulate biomass faster in juveniles to improve plant fitness so that they are less susceptible to disturbances. Previous research has shown that the S-strategy prioritizes plant survival and aims to maintain primary metabolism. We can see that the S strategy of seedlings reaches the maximum in OG forest. Therefore, seedlings will show typical stress resistance in long-term poor habitats (<xref ref-type="bibr" rid="B42">Negreiros et al., 2014</xref>).</p>
<p>Exploring the changes in plant traits during individual development stages plays a vital role in understanding how plants adjust their life history strategies to adapt to the environment. Previous studies have shown that plants choose different ecological strategies from different available resources. For example, studies on Arabidopsis (<italic>Arabidopsis thaliana</italic>) (<xref ref-type="bibr" rid="B38">May et al., 2017</xref>), the Alps mountain wind bells (<xref ref-type="bibr" rid="B20">Giupponi, 2020</xref>), and the mountain dianthus species (<italic>Dianthus pseudocrinitus</italic> and <italic>Dianthus polylepis</italic>) (<xref ref-type="bibr" rid="B3">Behroozian et al., 2020</xref>) all show intraspecific variation. These intraspecific variations further help evaluate species&#x2019; ecological strategy breadth and the diverse ecological strategy categories (<xref ref-type="bibr" rid="B47">Pierce et al., 2013</xref>). Together, they contribute to better understanding of how plants adapt to environmental heterogeneity (<xref ref-type="bibr" rid="B32">Jung et al., 2010</xref>). Individual development is considered the main source of intraspecific variation (<xref ref-type="bibr" rid="B43">Ochoa-L&#x00F3;pez et al., 2020</xref>), but it is rarely evaluated whether trait variation increases or decreases during development. We found that when CSR-SD difference was used to represent ecological strategy breadth, the function of trees converged, and the variability of ecological strategies decreased after long-term habitat filtration. However, seedlings have not been filtered by substantial habitat, they have high functional diversity, and their niche is broader. Our study also showed that the R-SD of seedlings is higher than conspecific trees. It may be that trees were long-term filtered by the environment in the succession process and survived the environmental changes. Our results show that the choice of functional traits that depend on succession is the main driving force of individual transformation. The diversity of ecological strategy within species can enhance the adaptability of species to the environment, while the diversity of ecological strategy between species is conducive to maintaining biodiversity and ecosystem functions, which is the basis of species coexistence.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>5. Conclusion</title>
<p>This study assessed, for the first time, variation in ecological strategies of co-existing tree species during the succession of tropical lowland rainforests and niche breadth in different development stages. We found that trees and seedlings adopted different strategies to adapt to growth and succession. Trees are mainly along the C-S axis, while seedlings are mostly located in the R axis of the CSR triangle, and the niche breadth of seedlings is broader than that of trees, indicating that long-term environmental filtration makes the functions of plants converge. This work is beneficial to understand the transformation of plant adaptation strategies caused by succession and different development stages, and the transformation of ecological strategies of tree communities in succession. Our results provide a scientific basis for the conservation and management of forest ecosystems.</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="TS1">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>YW: conceptualization, methodology, formal analysis, and writing&#x2014;original draft. CC: investigation, methodology, visualization, and writing&#x2014;review and editing. TS: methodology and writing&#x2014;review and editing. YY: investigation and methodology. XH and BH: investigation and visualization. XL: conceptualization, methodology, data curation, project administration, writing&#x2014;review and editing, supervision, and funding acquisition. 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 study was funded by the Key Research and Development Program of Liaocheng City (2021GY01), the Open Project of Liaocheng University Landscape Architecture (319462212), the National Natural Science Foundation of China (31901210), the Doctoral Research Foundation of Liaocheng University (318051822), and the Innovation Training Program for College Students in Liaocheng University (CXCY2021238).</p>
</sec>
<ack><p>We are grateful to the many people who have contributed to this study, especially Xiusen Yang and Yuecai Tang at the Bawangling Nature Reserve for their assistance in specimen identification and work in the field investigation. We would like to thank Dr. Kelly Dunham for her assistance with the English language.</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.2023.1236933/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/ffgc.2023.1236933/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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