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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2024.1384914</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Latitudinal patterns and their climate drivers of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S isotope signatures of <italic>Spartina alterniflora</italic> across plant life-death status: a global analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Dongjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/739621"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xuepeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ao</surname>
<given-names>Kang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Wenjun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Tongxin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Mingye</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1809023"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tong</surname>
<given-names>Shouzheng</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1238014"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics</institution>, <addr-line>Binzhou, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Geographical Sciences, Northeast Normal University</institution>, <addr-line>Changchun, Jilin</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences</institution>, <addr-line>Changchun, Jilin</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Xin-Sheng Chen, Anhui University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xuehong Wang, Ludong University, China</p>
<p>Xi Min, Qingdao University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Dongjie Zhang, <email xlink:href="mailto:zhangdongjie14@mails.ucas.ac.cn">zhangdongjie14@mails.ucas.ac.cn</email>; Mingye Zhang, <email xlink:href="mailto:zhangmingye@iga.ac.cn">zhangmingye@iga.ac.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1384914</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Wang, Liu, Ao, He, Wang, Zhang and Tong</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Wang, Liu, Ao, He, Wang, Zhang and Tong</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>Isotopic signatures offer new methods, approaches, and perspectives for exploring the ecological adaptability and functions of plants. We examined pattern differences in the isotopic signatures (<italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S) of <italic>Spartina alterniflora</italic> across varying plant life-death status along geographic clines. We extracted 539 sets of isotopic data from 57 publications covering 267 sites across a latitude range of over 23.8&#xb0; along coastal wetlands. Responses of isotopic signatures to climate drivers (MAT and MAP) and the internal relationships between isotopic signatures were also detected. Results showed that the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S. alterniflora</italic> were -13.52 &#xb1; 0.83&#x2030;, 6.16 &#xb1; 0.14&#x2030;, and 4.01 &#xb1; 6.96&#x2030;, with a range of -17.44&#x2030; to -11.00&#x2030;, -2.40&#x2030; to 15.30&#x2030;, and -9.60&#x2030; to 15.80&#x2030;, respectively. The latitudinal patterns of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> were shaped as a convex curve, a concave curve, and an increasing straight line, respectively. A decreasing straight line for <italic>&#x3b4;</italic>
<sup>13</sup>C within the ranges of MAT was identified under plant life status. Plant life-death status shaped two nearly parallel decreasing straight lines for <italic>&#x3b4;</italic>
<sup>34</sup>S in response to MAT, resulting in a concave curve of <italic>&#x3b4;</italic>
<sup>34</sup>S for live <italic>S. alterniflora</italic> in response to MAP. The <italic>&#x3b4;</italic>
<sup>15</sup>N of <italic>S. alterniflora</italic> significantly decreased with increasing <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic>, except for plant death status. The <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S</italic>. <italic>alterniflora</italic> are consistent with plant height, stem diameter, leaf traits, etc, showing general latitudinal patterns closely related to MAT. Plant life-death status altered the <italic>&#x3b4;</italic>
<sup>15</sup>N (live: 6.55&#xa0;&#xb1; 2.23&#x2030;; dead: -2.76 &#xb1; 2.72&#x2030;), latitudinal patterns of <italic>S</italic>. <italic>alterniflora</italic> and their responses to MAT, demonstrating strong ecological plasticity and adaptability across the geographic clines. The findings help in understanding the responses of latitudinal patterns of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S isotope signatures of <italic>S. alterniflora</italic> in response plant life-death status, and provide evidence of robust ecological plasticity and adaptability across geographic clines.</p>
</abstract>
<kwd-group>
<kwd>latitudinal pattern</kwd>
<kwd>biological invasion</kwd>
<kwd>isotope signature</kwd>
<kwd>coupling relationship</kwd>
<kwd>climate drivers</kwd>
</kwd-group>
<contract-num rid="cn001">42101111</contract-num>
<contract-num rid="cn002">ZR2021QD101, ZR2020MD007</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Natural Science Foundation of Shandong Province<named-content content-type="fundref-id">10.13039/501100007129</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="0"/>
<equation-count count="1"/>
<ref-count count="63"/>
<page-count count="11"/>
<word-count count="4590"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Functional Plant Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Biological invasion is a global problem that poses a threat to local plant communities, alters the patterns of macrobenthic animals, affects the habitat and food sources of migratory birds, and has negative effects on material circulation, energy flow, socio-economic activities, and other aspects of coastal wetland ecosystems (<xref ref-type="bibr" rid="B46">Sampaio et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B27">Li et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B15">He et&#xa0;al., 2023</xref>). Most invasive species can survive in large geographic areas where they germinate, colonize, grow, reproduce, expand, and develop corresponding adaptation strategies across latitudes (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref> and <xref ref-type="bibr" rid="B31">2022</xref>; <xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2023</xref>). Latitudinal gradients in abiotic factors, including temperature, precipitation, and soil physicochemical properties, increase environmental heterogeneity, shape the plant traits of invasive species, and form latitudinal patterns of plant communities coexisting with local and invasive species (<xref ref-type="bibr" rid="B23">Kirwan et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B32">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Cheng et&#xa0;al., 2022</xref>). Altered plant traits (including plant height, stem diameter, leaf traits, specific leaf area, dry matter content, shoot density, productivity, reproductive traits, ecostoichiometry, etc.) through phenotypic plasticity promote the probability of successful invasion by invasive species, recognized as important mechanisms for invasion (<xref ref-type="bibr" rid="B39">Maron et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B23">Kirwan et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B6">Cheng et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B63">Zheng et&#xa0;al., 2022</xref>). In recent decades, research on plant traits has made good progress, and the introduction of new technologies, represented by stable isotopes, has provided new methods and ideas for exploring the mechanisms of invasive species (<xref ref-type="bibr" rid="B17">Hill et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B51">Watson et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2023</xref>). Latitudinal patterns of isotope signatures in invasive plants across coastal wetlands have become a new topic.</p>
<p>Stable isotopes, a type of natural isotopes existing in organic organisms, are non-radioactive and stable (<xref ref-type="bibr" rid="B28">Lin and da SL Sternberg, 1993</xref>; <xref ref-type="bibr" rid="B10">Feng et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2023</xref>). They typically possess a relatively long half-life and are not limited by their duration. Stable isotopes offer numerous advantages, including easy operation, high sensitivity, safety, non-toxicity, rapid detection, accurate results, and relative stability (<xref ref-type="bibr" rid="B48">Spivak and Reeve, 2015</xref>). They primarily exploit the same physiological and biochemical properties of labeled compounds and their corresponding non-labeled compounds to trace the intricate and variable chemical reactions and biological processes in organic organisms. This facilitates the observation of metabolic patterns and bioavailability of the tracked substance in the organism by monitoring changes in isotopic ratios (<xref ref-type="bibr" rid="B2">Bai et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B24">Kou et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). Carbon (C), nitrogen (N), and sulfur (S) are essential components in plant tissues, and their corresponding stable isotopes are closely associated with plant physiological metabolism, growth, and development processes (<xref ref-type="bibr" rid="B17">Hill et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B29">Liu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B52">Wittyngham et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B58">Xiong et&#xa0;al., 2023</xref>). Plant photosynthesis plays a crucial role in the fractionation effect of <italic>&#x3b4;</italic>
<sup>13</sup>C. The <italic>&#x3b4;</italic>
<sup>13</sup>C can be utilized to study the chemical development process of biogeography, the allocation of photosynthetic carbon in plants, the identification of plant photosynthetic pathways, and the evaluation of water use efficiency and biomass changes in plants characterizing the litter decomposition process (<xref ref-type="bibr" rid="B33">Liu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B56">Xia et&#xa0;al., 2023b</xref>). The <italic>&#x3b4;</italic>
<sup>15</sup>N isotope is commonly employed to assess the utilization efficiency, loss, nutrient uptake, and transport process of nitrogen elements in plant organisms and even plant communities (<xref ref-type="bibr" rid="B17">Hill et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). The <italic>&#x3b4;</italic>
<sup>34</sup>S isotope in plants can provide crucial information on the absorption of atmospheric sulfides by plants and the metabolism of sulfur in plants, offering a powerful tool for a deeper understanding of the interaction between organisms and their living environment (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Jinks et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B13">Guiry et&#xa0;al., 2022</xref>). Stable isotopes, especially their local and global patterns, play a significant indicative role in monitoring short-term and long-term environmental changes in the biosphere. Applying stable isotopes in the study of invasive plant species in coastal wetlands and understanding the information reflected by isotopic changes contribute greatly to revealing the invasion mechanism.</p>
<p>
<italic>Spartina alterniflora</italic>, recognized as a typical invasive plant, is a perennial monocotyledonous plant belonging to the Poaceae family (<xref ref-type="bibr" rid="B6">Cheng et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Jia et&#xa0;al., 2022</xref>). It possesses extensive roots and robust reproductive capabilities, commonly growing in the intertidal zones of estuaries, bays, coastal mudflats, and tidal-influenced beaches worldwide (<xref ref-type="bibr" rid="B18">Humphreys et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B38">Mao et&#xa0;al., 2023</xref>). <italic>S. alterniflora</italic> plays a significant role in ecological and economic benefits, including carbon and nitrogen fixation, wind and wave prevention, embankment and beach protection, soil improvement, and the expansion of animal and plant habitats (<xref ref-type="bibr" rid="B35">Lu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B41">Meng et&#xa0;al., 2020</xref>). However, the negative ecological impact of <italic>S. alterniflora</italic> invasion is becoming increasingly severe, affecting the structure and composition of biological communities. This invasion damages the composition and transmission of the food chain in coastal wetland ecosystems, leading to extreme instability in the ecological environment of coastal wetlands (<xref ref-type="bibr" rid="B20">Jinks et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B26">Li et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B19">Jia et&#xa0;al., 2022</xref>). Due to its high tolerance to salinity, rapid growth rate, and extensive range, <italic>S. alterniflora</italic> alters surrounding environmental factors by secreting a significant amount of salt into the environment during high-intensity transpiration. Simultaneously, it is an invasive species well-adapted to the coastal wetland environment, suppressing the growth of local plants in the surrounding environment by seizing living space and resources, thereby changing the structure and function of wetlands (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B37">Mao et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Liu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Humphreys et&#xa0;al., 2021</xref>). Previous studies on <italic>S. alterniflora</italic> have focused on the invasion mechanism, physiological responses under different driving forces, competition mechanisms between native and invasive species, ecological prevention and control measures, and comprehensive analysis and utilization of biomass energy (<xref ref-type="bibr" rid="B7">Courtney et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B36">Ma et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B16">Hessini et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B25">Li et&#xa0;al., 2022</xref>). Some studies have explored <italic>S. alterniflora</italic> stable isotopes, systematically analyzing element dynamics during the decomposition process of <italic>S. alterniflora</italic> residues and changes in plant-soil element pools and nutrient transport processes. <xref ref-type="bibr" rid="B15">He et&#xa0;al. (2023)</xref> compared the trophic contribution of <italic>S. alterniflora</italic> to the macrozoobenthos between the dense <italic>S. alterniflora</italic> area and adjacent tidal bare mudflat in the Hepu coast by analyzing <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>15</sup>N. <xref ref-type="bibr" rid="B50">Wang et&#xa0;al. (2024)</xref> found that <italic>S. alterniflora</italic> invasion increased the values of <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>15</sup>N, as well as organic matter decomposition. <xref ref-type="bibr" rid="B55">Wu et&#xa0;al. (2024)</xref> used a <sup>15</sup>N stable isotope dilution technique to investigate sediment gross N mineralization and NH<sub>4</sub>
<sup>+</sup> immobilization under aerobic and anaerobic conditions in <italic>S. alternifora</italic> communities. However, there has been little attention to the distribution pattern and influencing factors of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> across latitudes (<xref ref-type="bibr" rid="B22">Kinney and Valiela, 2018</xref>; <xref ref-type="bibr" rid="B3">Chen et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021</xref> and <xref ref-type="bibr" rid="B60">Zhang et&#xa0;al., 2021</xref>). Additionally, there is minimal research on the impact of the life-death status of <italic>S. alterniflora</italic> on isotopic distribution.</p>
<p>Here, we compared the latitudinal patterns of the isotope signatures (<italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S) of <italic>S</italic>. <italic>alterniflora</italic> and their responses to climate drivers under different plant life-death status by collecting isotopic data from literature records at 267 sites across coastal wetlands. Building upon previous findings on plant traits of <italic>S. alterniflora</italic>, we tried to address the following questions: (1) Do the latitudinal patterns of the isotope signatures of <italic>S. alterniflora</italic> vary with life-death status? (2) How is the geographical variation in <italic>S. alterniflora</italic> isotope signature influenced by mean annual temperature (MAT) and mean annual precipitation (MAP)? (3) Have strong coupling relationships formed between the isotope signatures of <italic>S. alterniflora</italic>? We hypothesized that: (1) The latitudinal patterns of the <italic>S. alterniflora</italic> isotope signature under the life status would outperform the dead status; (2) Geographical variation in <italic>S. alterniflora</italic> isotope signature would be driven by MAT and MAP; (3) The <italic>&#x3b4;</italic>
<sup>15</sup>N and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S. alterniflora</italic> would respond to the corresponding <italic>&#x3b4;</italic>
<sup>13</sup>C in a linear or nonlinear form.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Literature sources and screening</title>
<p>We conducted a systematic literature search for peer-reviewed publications using the China National Knowledge Infrastructure and Web of Science databases. The search term &#x201c;<italic>Spartina alterniflora</italic>&#x201d; was employed on both websites to compile a database of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S values of <italic>S. alterniflora</italic>. We gathered 13540 published papers and dissertations from January 1970 to September 2023. Additionally, we identified relevant literature in Chinese or English related to the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S. alterniflora</italic> through manual screening methods. During the screening process, publications without latitude and longitude (or map, or location name), those with blurry images, or experiments conducted in greenhouses or involving isotope labeling processing about <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S</italic>. <italic>alterniflora</italic> were excluded. After removing duplicates, the literature was refined to 57 publications, comprising 48 publications for <italic>&#x3b4;</italic>
<sup>13</sup>C (1976&#x2013;2023), 31 publications for <italic>&#x3b4;</italic>
<sup>15</sup>N (1985&#x2013;2022), and 8 publications for <italic>&#x3b4;</italic>
<sup>34</sup>S (1982&#x2013;2019) of <italic>S. alterniflora</italic> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The number of corresponding publications increased over time (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Number of relevant studies included in this study (<italic>N</italic>=57) published per year (1978&#x2013;2023). The figure style reference <xref ref-type="bibr" rid="B40">Mason et al, 2023</xref>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data extraction and proceeding</title>
<p>We extracted data from 57 publications using three methods: firstly, by recording the values of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S. alterniflora</italic> from tables; secondly, by measuring values from figures using Digitizer in Origin software; and thirdly, by collecting data from <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Materials</bold>
</xref> accompanying the publications. The criteria for data extraction included values for <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in various plant parts such as root (fine root, rhizome, coarse roots), stem (aboveground stem, belowground stem), leaf, litter (fresh litter, litter, leaf litter, plant detritus), standing dead, and dead biomass of <italic>S. alterniflora</italic>. Additionally, the criteria specified that the data should pertain to natural plants or samples collected in the field, be unlabeled with isotopes, or represent the initial values before isotope labeling. Furthermore, the values of isotope signatures were required to be expressed in parts per thousand (&#x2030;) and calculated following a specified equation (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>).</p>
<disp-formula id="eq1">
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>&#x3b4;</mml:mi>
<mml:mi>X</mml:mi>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>p</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="false">/</mml:mo>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>d</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where <italic>X</italic> is <sup>13</sup>C, <sup>15</sup>N, or <sup>34</sup>S, and <italic>R</italic> is <sup>13</sup>C/<sup>12</sup>C, <sup>15</sup>N/<sup>14</sup>N, <sup>34</sup>S/<sup>32</sup>S, respectively (<xref ref-type="bibr" rid="B53">Wooller et&#xa0;al., 2003a</xref>; <xref ref-type="bibr" rid="B12">Gao et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B42">Nelson et&#xa0;al., 2019</xref>).</p>
<p>To make the information contained in the database more comprehensive, we recorded the following variables for each value: the first author, year of publication, study site, month or season in the year of sampling, latitude, longitude, treatment, plant tissue (root, stem, leaf), live or dead state, reference.</p>
<p>If the latitude and longitude information for the study sites was not available in the publication, we opted to identify them on the Ovital map, primarily using the map of sampling points and secondarily relying on the name of the study site. In specific cases, we distinguished between live <italic>S. alterniflora</italic> by examining green leaves and categorized plant senescent tissue as dead <italic>S. alterniflora</italic>.</p>
<p>We collected climate data for each sample site from the Worldclim online repository (<ext-link ext-link-type="uri" xlink:href="https://www.worldclim.org/data/index.html">https://www.worldclim.org/data/index.html</ext-link>; <xref ref-type="bibr" rid="B11">Fick &amp; Hijmans, 2017</xref>). The mean annual temperature (MAT) and mean annual precipitation (MAP) were calculated based on the extracted data from Worldclim 2.1 referencing the latitude and longitude of sample sites (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Global distribution of the sample sites of the isotope signature of <italic>Spartina alterniflora.</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g002.tif"/>
</fig>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>The distribution and homogeneity of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S isotope signature (<italic>&#x3b4;</italic>X) in <italic>S. alterniflora</italic> were assessed in R before conducting further analyses (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>). A t-test was employed to determine differences in the values of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S between live and dead <italic>S. alterniflora</italic> at a 0.05 significance level. Linear regression and binomial regression were utilized to explore the responses in the values of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S for the whole plant, live <italic>S. alterniflora</italic>, and dead <italic>S. alterniflora</italic> to latitude, MAT, and MAP using paired data (<italic>&#x3b4;</italic>X-latitude, <italic>&#x3b4;</italic>X-MAT, <italic>&#x3b4;</italic>X-MAP). In cases where neither of the two regressions mentioned above matched, loess regression was applied to illustrate the changes in <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S with increasing latitude, MAT, and MAP. Additionally, the relationship between any two indicators (paired data) of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S was examined using the previously mentioned regression techniques.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Latitudinal patterns of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic>
</title>
<p>The value of <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic> ranged from -17.44&#x2030; to -11.00&#x2030; (<italic>M</italic>=-13.52 &#xb1; 0.83&#x2030;, <italic>N</italic>=195; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) and firstly increased and then decreased with increasing latitudes (<italic>p</italic>=0.000, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The <italic>&#x3b4;</italic>
<sup>13</sup>C <bold>(A)</bold>, <italic>&#x3b4;</italic>
<sup>15</sup>N <bold>(B)</bold>, <italic>&#x3b4;</italic>
<sup>34</sup>S <bold>(C)</bold> in live and dead <italic>S. alterniflora</italic>. Different letters stand for significant differences at the 0.05 significance level in live and dead <italic>S. alterniflora</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Latitudinal patterns of the of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in live and dead <italic>S. alterniflora</italic>. NS, the fitting is not statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g004.tif"/>
</fig>
<p>Both the <italic>&#x3b4;</italic>
<sup>13</sup>C in live and dead <italic>S. alterniflora</italic> displayed similar patterns toward higher latitudes (Live: <italic>p</italic>=0.000; Dead: <italic>p</italic>=0.003, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). There were no significant differences in the <italic>&#x3b4;</italic>
<sup>13</sup>C of live (<italic>M</italic>=-13.32 &#xb1; 0.82&#x2030;, <italic>N</italic>=72) and dead <italic>S. alterniflora</italic> (<italic>M</italic>=-13.59 &#xb1; 1.01&#x2030;, <italic>N</italic>=59; <italic>p</italic>=0.097; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>15</sup>N values of <italic>S. alterniflora</italic> ranged from -2.40&#x2030; to 15.30&#x2030; (<italic>M</italic>=6.16 &#xb1; 0.14&#x2030;, <italic>N</italic>=316; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) and initially decreased and then increased with increasing latitudes (<italic>p</italic>=0.000, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>15</sup>N of dead <italic>S. alterniflora</italic> displayed similar patterns toward higher latitudes, unlike the live <italic>S. alterniflora</italic> (Live: <italic>p</italic>=0.756, Dead: <italic>p</italic>=0.002; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>15</sup>N of live <italic>S. alterniflora</italic> (<italic>M</italic>=6.55 &#xb1; 2.23&#x2030;, <italic>N</italic>=272) was significantly higher than that of dead <italic>S. alterniflora</italic> (<italic>M</italic>=-2.76 &#xb1; 2.72&#x2030;, <italic>N</italic>=29; <italic>p</italic>=0.000; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>34</sup>S values of <italic>S. alterniflora</italic> ranged from -9.60&#x2030; to 15.80&#x2030; (<italic>M</italic>=4.01 &#xb1; 6.96&#x2030;, <italic>N</italic>=28; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>) and showed a significant increase toward higher latitudes (<italic>p</italic>=0.006, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). Both the <italic>&#x3b4;</italic>
<sup>34</sup>S in live and dead <italic>S. alterniflora</italic> displayed similar patterns toward higher latitudes (Live: <italic>p</italic>=0.030; Dead: <italic>p</italic>=0.016, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>), but live <italic>S. alterniflora</italic> had a higher fitting value of <italic>&#x3b4;</italic>
<sup>34</sup>S at the same latitude. There were no significant differences in the <italic>&#x3b4;</italic>
<sup>34</sup>S of live (<italic>M</italic>=2.05 &#xb1; 6.88&#x2030;, <italic>N</italic>=11) and dead <italic>S. alterniflora</italic> (<italic>M</italic>=5.78 &#xb1; 7.09&#x2030;, <italic>N</italic>=15; <italic>p</italic>=0.193; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Responses of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> to MAT and MAP</title>
<p>The <italic>&#x3b4;</italic>
<sup>13</sup>C value of <italic>S. alterniflora</italic> significantly decreased with higher MAT (<italic>p</italic>=0.050, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Both the <italic>&#x3b4;</italic>
<sup>13</sup>C values of live and dead <italic>S. alterniflora</italic> showed significant decreasing trends at elevated MAT levels (Live: <italic>p</italic>=0.029, Dead: <italic>p</italic>=0.026, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>15</sup>N value of <italic>S. alterniflora</italic> initially declined and then increased with rising MAT (<italic>p</italic>=0.002, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). However, the <italic>&#x3b4;</italic>
<sup>15</sup>N value of live <italic>S. alterniflora</italic> first increased and then decreased in response to MAT (Live: <italic>p</italic>=0.043, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>34</sup>S value of <italic>S. alterniflora</italic> (both live and dead) exhibited a significant decrease with increasing MAT (Plant: <italic>p</italic>=0.007, Live: <italic>p</italic>=0.025, Dead: <italic>p</italic>=0.016, <xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5E, F</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Responses of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in live and dead <italic>S. alterniflora</italic> to mean annual temperature (MAT). NS, the fitting is not statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g005.tif"/>
</fig>
<p>There are no significant trends in the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S values of <italic>S. alterniflora</italic> with increasing MAP (<italic>p</italic>&gt;0.05, <xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, C&#x2013;E</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>13</sup>C of live <italic>S</italic>. <italic>alterniflora</italic> exhibited a significant decreasing trend when the MAP is &gt;869 mm (<italic>p</italic>=0.017, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The <italic>&#x3b4;</italic>
<sup>34</sup>S value of live <italic>S. alterniflora</italic> initially decreased and then increased with increasing MAP (Live: <italic>p</italic>=0.048, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>), whereas the <italic>&#x3b4;</italic>
<sup>34</sup>S of dead <italic>S. alterniflora</italic> initially increased and then decreased with increasing MAP (Dead: <italic>p</italic>=0.063, <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Responses of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in live and dead <italic>S. alterniflora</italic> to mean annual precipitation (MAP). NS, the fitting is not statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g006.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Relationships of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic>
</title>
<p>The <italic>&#x3b4;</italic>
<sup>15</sup>N of <italic>S. alterniflora</italic> showed a significant negative relationship with the <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic> (<italic>p</italic>=0.001, <italic>N</italic>=102; <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). Plant life status shaped a decreasing curve for the <italic>&#x3b4;</italic>
<sup>15</sup>N in response to increasing <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic> (Live: <italic>p</italic>=0.013, <italic>N</italic>=18, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). However, the relationships between the <italic>&#x3b4;</italic>
<sup>34</sup>S and <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic> (<italic>p</italic>=0.110, <italic>N</italic>=14; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>), the <italic>&#x3b4;</italic>
<sup>34</sup>S and <italic>&#x3b4;</italic>
<sup>15</sup>N (<italic>p</italic>=0.667, <italic>N</italic>=14; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>) of <italic>S. alterniflora</italic> (or dead or live) were fuzzy.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Relationships of the <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>15</sup>N in <italic>S. alterniflora</italic>. NS, the fitting is not statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-15-1384914-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>We observed a consistent pattern in the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S values of <italic>S. alterniflora</italic> across latitudes, providing evidence for the latitudinal variation in vegetative growth traits. These traits are likely associated with the plant&#x2019;s invasive mechanisms. Previous studies have documented general patterns, such as linear or binomial, in plant height, stem diameter, leaf characteristics (leaf area, thickness, toughness, specific leaf area, dry matter content), shoot density, plant productivity, reproductive traits (seed set, seed production, seeding density, seed germination, first flower day, flowering culm, number of spikelets), ecostoichiometry (C, N, P, and their ratios), and leaf litter decomposition rate in response to increasing latitudes within the specified range (<xref ref-type="bibr" rid="B23">Kirwan et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B6">Cheng et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B62">Zhang et&#xa0;al., 2021a</xref>; <xref ref-type="bibr" rid="B63">Zheng et&#xa0;al., 2022</xref>). The latitudinal patterns of vegetative traits collectively regulate the growth, reproduction, and expansion of <italic>S. alterniflora</italic> through plastic deformation strategies. The plastic deformation strategies altered plant form and function so as to match environmental changes in a new environment, these enhancing plants competitiveness for space and resources, allowing it to occupy vacant ecological niches (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B58">Xiong et&#xa0;al., 2023</xref>). Previous research has shown that the plant height of <italic>S. alterniflora</italic> forms a convex curve with increasing latitudes (20&#xb0;N~40&#xb0;N), aligning with the latitudinal pattern of <italic>&#x3b4;</italic>
<sup>13</sup>C but contrasting with that of <italic>&#x3b4;</italic>
<sup>15</sup>N in <italic>S</italic>. <italic>alterniflora</italic> (<xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>). In general, larger <italic>S. alterniflora</italic> plants with greater height exhibit strong photosynthesis, altering carbon isotope fractionation and increasing the potential accumulation of <sup>13</sup>C (<xref ref-type="bibr" rid="B28">Lin and da SL Sternberg, 1993</xref>; <xref ref-type="bibr" rid="B9">Essemine et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B38">Mao et&#xa0;al., 2023</xref>). When nutrient resources are limited, larger plants typically require a significant amount of nutrients to sustain rapid growth, resulting in a dilution of <sup>15</sup>N and a decrease in its accumulation within the plant (<xref ref-type="bibr" rid="B17">Hill et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2022</xref>). Moreover, an increase in dry matter content induces plant senescence, leading to a reduction in <sup>15</sup>N-related enzymes and influencing plant <sup>15</sup>N levels (<xref ref-type="bibr" rid="B16">Hessini, 2022</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). Hence, the varied latitudinal patterns of <italic>S. alterniflora</italic>&#x2019;s plant traits facilitate its adaptive response to environmental changes associated with different latitudes.</p>
<p>Plant life-death status have complex effects on isotopes, and then affecting their latitudinal patterns. In this study, the plant life status did not alter the <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>34</sup>S values or their corresponding latitudinal patterns in <italic>S. alterniflora</italic>. These findings are consistent with prior research; <xref ref-type="bibr" rid="B47">Schwamborn et&#xa0;al. (2002)</xref> and <xref ref-type="bibr" rid="B21">Kieckbusch et&#xa0;al. (2004)</xref> discovered that live leaves and senescent leaves exhibited similar <italic>&#x3b4;</italic>
<sup>13</sup>C values. Similar evidence was observed in the <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>Kandelia candel</italic> and <italic>Rhiziophora mangle</italic> during the senescence process (<xref ref-type="bibr" rid="B54">Wooller et&#xa0;al., 2003b</xref>). However, <xref ref-type="bibr" rid="B44">Rao et&#xa0;al. (1994)</xref> reported no difference in <italic>&#x3b4;</italic>
<sup>13</sup>C between fresh and senescent tissues of five mangrove species in Kenya, while the other four mangrove species displayed differentiation. <xref ref-type="bibr" rid="B45">Robin et&#xa0;al. (2024)</xref> found that fresh leaves are more enriched in <sup>13</sup>C than senescent leaves for <italic>Avicennia marina</italic> and <italic>Rhizophora stylosa</italic>, but for <italic>R. stylosa</italic> they are less enriched in <sup>15</sup>N. Furthermore, we observed that the death of plants led to a reduction in <italic>&#x3b4;</italic>
<sup>15</sup>N in <italic>S. alterniflora</italic> compared to their living status. This phenomenon may be attributed to the inactivation of N-related enzymes in <italic>S. alterniflora</italic> (<xref ref-type="bibr" rid="B16">Hessini, 2022</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). The status of plant death resulted in a <italic>&#x3b4;</italic>
<sup>15</sup>N response in the form of a concave curve with increasing latitude but exhibited a less distinct response under the plant life status. These findings suggest that live <italic>S. alterniflora</italic> demonstrates a broad range of <italic>&#x3b4;</italic>
<sup>15</sup>N responses to latitude, particularly at higher latitudes. There is no consensus on whether there are differences in plant isotopes and their latitudinal patterns across species under different life states. This inconsistency with our hypothesis (1) leads us to speculate that variations in plant isotopes and their latitudinal patterns under different life status may depend on the species, its strength, the type of isotopes (<xref ref-type="bibr" rid="B54">Wooller et&#xa0;al., 2003b</xref>; <xref ref-type="bibr" rid="B44">Rao et&#xa0;al., 1994</xref>), and specific evidence that needs further exploration.</p>
<p>MAT and MAP play crucial roles in shaping latitude and influencing plant growth and reproduction (<xref ref-type="bibr" rid="B59">Yuan and Chen, 2009</xref>; <xref ref-type="bibr" rid="B61">Zhang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). Prior studies have demonstrated that temperature and precipitation contribute to the formation of linear or quadratic polynomial patterns in plant growth and reproductive traits (<xref ref-type="bibr" rid="B23">Kirwan et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B30">Liu et&#xa0;al., 2017</xref>, <xref ref-type="bibr" rid="B34">Liu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B32">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B4">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B6">Cheng et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B63">Zheng et&#xa0;al., 2022</xref>). Latitude changes increase environmental heterogeneity, especially in hydrothermal environments; Simultaneously, it shapes different plant traits to adapt to environmental changes. Therefore, we hypothesize that the isotopes of <italic>S. alterniflora</italic>, closely linked to these traits, are affected by MAT and MAP. While general patterns of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in response to MAT along latitudinal gradients were identified, this was not observed for MAP, which is not entirely consistent with our hypothesis (2). A consensus emerges, indicating that MAT is the controlling factor for the latitudinal patterns of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic>. The marginal influence of precipitation in this study warrants thorough consideration, deviating from previous research conclusions (<xref ref-type="bibr" rid="B59">Yuan and Chen, 2009</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). In <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>, MAP exhibits a trend of decreasing and then increasing with latitude. Additionally, MAP is influenced by various factors, including the relative position of land and sea, terrain, pressure bands, wind belts, monsoons, cyclones, fronts, underlying surfaces, ocean currents, and human activities (<xref ref-type="bibr" rid="B11">Fick &amp; Hijmans, 2017</xref>). The complexity of these factors reduces the interpretability of latitude&#x2019;s impact on MAP and disrupts the response patterns of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> to MAP. Interestingly, the <italic>&#x3b4;</italic>
<sup>15</sup>N of <italic>S. alterniflora</italic> under live plant conditions shows a significant response to MAT, unlike its death status. This observation aligns with the notion that temperature influences enzyme activity in live plant bodies (<xref ref-type="bibr" rid="B16">Hessini, 2022</xref>). The <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>34</sup>S of live <italic>S. alterniflora</italic> exhibit a significant response to MAP due to their stability and the importance of precipitation for plant survival (<xref ref-type="bibr" rid="B59">Yuan and Chen, 2009</xref>; <xref ref-type="bibr" rid="B57">Xia et&#xa0;al., 2023a</xref>). Phenotypic plasticity, by altering plant isotopes and their other traits, fully ensures their survival in changing environments, and enables invasive plants to successfully customize and spread in the invasive ranges.</p>
<p>The relationships among plant elements or isotopes are crucial for studying plant adaptation mechanisms at the single-species scale and element flux in food webs at the whole ecosystem scale (<xref ref-type="bibr" rid="B12">Gao et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B20">Jinks et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B27">Li et&#xa0;al., 2022</xref>). However, the paired relationships between any two indicators of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> have been overlooked. In this study, we hypothesize that the <italic>&#x3b4;</italic>
<sup>15</sup>N and <italic>&#x3b4;</italic>
<sup>34</sup>S of <italic>S. alterniflora</italic> exhibit stable relationships with the corresponding <italic>&#x3b4;</italic>
<sup>13</sup>C. The <italic>&#x3b4;</italic>
<sup>15</sup>N of <italic>S. alterniflora</italic> decreases with increasing <italic>&#x3b4;</italic>
<sup>13</sup>C, supporting parts of hypothesis (3). When having similar <italic>&#x3b4;</italic>
<sup>13</sup>C values, the decrease in <italic>&#x3b4;</italic>
<sup>15</sup>N of deceased <italic>S. alterniflora</italic> disrupts the general relationship between <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>15</sup>N. Additionally, the indistinct relationships between <italic>&#x3b4;</italic>
<sup>34</sup>S and <italic>&#x3b4;</italic>
<sup>13</sup>C (or <italic>&#x3b4;</italic>
<sup>15</sup>N) of <italic>S. alterniflora</italic> may be associated with the <italic>&#x3b4;</italic>
<sup>34</sup>S in the environment. Excessive <italic>&#x3b4;</italic>
<sup>34</sup>S in the soil (found in salt marshes with sulfate-type soil) or atmosphere (in areas with acid rain) leads to an increase in <italic>&#x3b4;</italic>
<sup>34</sup>S in plant bodies, resulting in a mismatch in the relationship between <italic>&#x3b4;</italic>
<sup>34</sup>S and <italic>&#x3b4;</italic>
<sup>13</sup>C (or <italic>&#x3b4;</italic>
<sup>15</sup>N) of <italic>S. alterniflora</italic> (<xref ref-type="bibr" rid="B14">Guo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Jinks et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B13">Guiry et&#xa0;al., 2022</xref>). These findings highlight the isotopic flexibility within <italic>S. alterniflora</italic>.</p>
<p>Although our results provide strong evidence for the latitudinal patterns and their climate drivers of the <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, <italic>&#x3b4;</italic>
<sup>34</sup>S isotope signatures of <italic>S. alterniflora</italic> across plant life-death status based on a global analysis, there were several limitations in this study, such as how soil isotope signatures affected plant isotope signatures. Soil is recognized as a key factor influencing available nutrient for plant, and their large-scale patterns of isotope signatures have an imprint on plant isotope signatures (<xref ref-type="bibr" rid="B1">Amundson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B8">Craine et&#xa0;al., 2015</xref>). Plant <italic>&#x3b4;</italic>
<sup>13</sup>C (<italic>&#x3b4;</italic>
<sup>15</sup>N) was significantly positively related to soil <italic>&#x3b4;</italic>
<sup>13</sup>C (<italic>&#x3b4;</italic>
<sup>15</sup>N) across varied plant species and functional types (<xref ref-type="bibr" rid="B43">Peri et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B56">Xia et&#xa0;al., 2023b</xref>). Although soil <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>15</sup>N was shaped by MAT and MAP, future research should pay attentions to the imprint of soil isotope signatures on corresponding isotope signatures.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>The latitudinal patterns of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> are depicted as a convex curve, a concave curve, and an increasing straight line, respectively. The responses of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> to MAT manifest as a decreasing line, a concave curve, and a decreasing line, respectively, but exhibit indistinct responses to MAP. The life-death status of plants alters the <italic>&#x3b4;</italic>
<sup>15</sup>N-latitudinal patterns and their responses of <italic>&#x3b4;</italic>
<sup>13</sup>C, <italic>&#x3b4;</italic>
<sup>15</sup>N, and <italic>&#x3b4;</italic>
<sup>34</sup>S in <italic>S. alterniflora</italic> to MAT. The <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>34</sup>S of living <italic>S. alterniflora</italic> demonstrate robust responses to MAP. Plant death status results in a significant decrease in <italic>&#x3b4;</italic>
<sup>15</sup>N, but not in <italic>&#x3b4;</italic>
<sup>13</sup>C and <italic>&#x3b4;</italic>
<sup>34</sup>S. Paired <italic>&#x3b4;</italic>
<sup>15</sup>N and <italic>&#x3b4;</italic>
<sup>13</sup>C of <italic>S. alterniflora</italic> exhibit a noteworthy negative relationship across the entire dataset and plant life status. All these findings provide evidence of robust ecological plasticity and adaptability across geographic clines.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>DZ: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. HW: Data curation, Investigation, Visualization, Writing &#x2013; original draft. XL: Data curation, Investigation, Writing &#x2013; original draft. KA: Data curation, Writing &#x2013; original draft. WH: Writing &#x2013; review &amp; editing. TW: Data curation, Investigation, Writing &#x2013; original draft. MZ: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ST: Conceptualization, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Natural Science Foundation of China (No. 42101111); the Shandong Provincial Natural Science Foundation (No. ZR2021QD101; ZR2020MD007); the PhD research startup foundation of Binzhou University (No. 2021Y14); the Youth Innovation Support Program of Shandong Universities (No. 2023KJ273); Binzhou Youth Science and Technology Rising Star Program Project (QMX2023001) and College Student Innovation Training Program Plan (S202210449026).</p>
</sec>
<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>
<p>The reviewer XW declared a past co-authorship with the author(s) DZ, MZ, and ST to the handling editor.</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&#xa0;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/fpls.2024.1384914/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2024.1384914/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="DataSheet_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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