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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.2016.01119</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>Consequences of Repeated Defoliation on Belowground Bud Banks of <italic>Carex brevicuspis</italic> (Cyperaceae) in the Dongting Lake Wetlands, China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Xin-Sheng</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="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/210966/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Deng</surname> <given-names>Zheng-Miao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xie</surname> <given-names>Yong-Hong</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="fn001"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Feng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hou</surname> <given-names>Zhi-Yong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, The Chinese Academy of Sciences</institution> <country>Changsha, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, The Chinese Academy of Sciences</institution> <country>Changsha, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Boris Rewald, University of Natural Resources and Life Sciences, Vienna, Austria</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Rub&#x00E9;n Retuerto, University of Santiago de Compostela, Spain; Zhimin Liu, Institute of Applied Ecology, Chinese Academy of Sciences, China</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Xin-Sheng Chen, <email>xschen@isa.ac.cn</email> Yong-Hong Xie, <email>yonghongxie@163.com</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>07</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>1119</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>05</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>07</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016 Chen, Deng, Xie, Li, Hou and Wu.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Chen, Deng, Xie, Li, Hou and Wu</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) or licensor 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>Despite the predominant role of bud banks in the regeneration of clonal macrophyte populations, few studies have examined the way in which clonal macrophytes adjust the demographic features of bud banks to regulate population dynamics in response to defoliation in wetlands. We investigated the density and composition of bud banks under repeated defoliation in the wetland sedge <italic>Carex brevicuspis</italic> C. B. Clarke in the Dongting Lake wetlands, China. The density and biomass of rhizome buds and shoots did not decrease significantly in response to repeated defoliation over two consecutive years. The composition of bud banks, which consisted of long and short rhizome buds, also did not change significantly in response to repeated defoliation. Nevertheless, the ramet height and the shoot, root, and rhizome mass of <italic>C. brevicuspis</italic> declined significantly under repeated defoliation. Our findings suggest that bud banks are a conservative reproductive strategy that enables <italic>C. brevicuspis</italic> to tolerate a certain amount of defoliation. The maintenance of large bud banks after repeated defoliation may enable <italic>C. brevicuspis</italic> populations to regenerate and persist in disturbed habitats. However, bud bank density of <italic>C. brevicuspis</italic> might decline in the long term because the amount of carbon stored in rhizome buds and plants is reduced by frequent defoliation.</p>
</abstract>
<kwd-group>
<kwd>bud bank</kwd>
<kwd>clonal growth</kwd>
<kwd>clonal plant</kwd>
<kwd>disturbance</kwd>
<kwd>grazing</kwd>
<kwd>population regeneration</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="8"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Defoliation by herbivores or mowing is a common disturbance in ecosystems dominated by perennials, such as grasslands and wetlands (<xref ref-type="bibr" rid="B46">Zhao et al., 2008</xref>; <xref ref-type="bibr" rid="B38">Terer et al., 2012</xref>). In these ecosystems, clonal plants reproduce predominantly from a belowground population of meristems, the &#x201C;bud bank&#x201D; (<xref ref-type="bibr" rid="B21">Harper, 1977</xref>; <xref ref-type="bibr" rid="B3">Benson et al., 2004</xref>; <xref ref-type="bibr" rid="B2">Benson and Hartnett, 2006</xref>; <xref ref-type="bibr" rid="B36">Sosnov&#x00E1; et al., 2010</xref>; <xref ref-type="bibr" rid="B33">Ott and Hartnett, 2012</xref>; <xref ref-type="bibr" rid="B18">Deng et al., 2015</xref>). Tillering from bud banks is one of the major mechanisms conferring plant resilience to herbivory (<xref ref-type="bibr" rid="B40">Tuomi et al., 1994</xref>; <xref ref-type="bibr" rid="B37">Strauss and Agrawal, 1999</xref>; <xref ref-type="bibr" rid="B39">Tiffin, 2000</xref>). Therefore, the population dynamics of clonal species in response to defoliation may be determined by the demographic features of bud banks, such as the number of buds available for tiller recruitment and their emergence rate (<xref ref-type="bibr" rid="B40">Tuomi et al., 1994</xref>; <xref ref-type="bibr" rid="B23">Huhat et al., 2000</xref>; <xref ref-type="bibr" rid="B25">Lehtil&#x00E4;, 2000</xref>; <xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>).</p>
<p>The effect of defoliation on bud bank demography differs among plant guilds (<xref ref-type="bibr" rid="B42">Vesk, 2006</xref>; <xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>; <xref ref-type="bibr" rid="B41">VanderWeide and Hartnett, 2015</xref>). For example, defoliation by grazers increases grass bud banks but decreases forb bud banks in tallgrass prairies (<xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>). In addition, the number of buds available for tiller recruitment fluctuates over the year (<xref ref-type="bibr" rid="B3">Benson et al., 2004</xref>; <xref ref-type="bibr" rid="B13">Dalgleish and Hartnett, 2006</xref>; <xref ref-type="bibr" rid="B45">Zhang et al., 2009</xref>; <xref ref-type="bibr" rid="B6">Chen et al., 2014</xref>, <xref ref-type="bibr" rid="B7">2015b</xref>,<xref ref-type="bibr" rid="B8">c</xref>). Therefore, the effect of defoliation on bud bank demography may also vary among seasons.</p>
<p>Buds in the bud bank may be classified according to their size, developmental stage, location, and level of protection (<xref ref-type="bibr" rid="B43">Vesk and Westoby, 2004</xref>; <xref ref-type="bibr" rid="B16">Deng et al., 2013a</xref>; <xref ref-type="bibr" rid="B34">Qian et al., 2014</xref>; <xref ref-type="bibr" rid="B5">Chen et al., 2015a</xref>). Defoliation may affect types of buds differently depending on their positioning and activation sensitivity (<xref ref-type="bibr" rid="B23">Huhat et al., 2000</xref>; <xref ref-type="bibr" rid="B31">N&#x2019;Guessan and Hartnett, 2011</xref>). The release of apical dominance following decapitation may stimulate lateral bud outgrowth along the axis of a tiller (<xref ref-type="bibr" rid="B11">Cline, 1997</xref>). In <italic>Schizachyrium scoparium</italic>, an increase in defoliation frequency is associated with a significant increase in the proportion of extravaginal buds and a decrease in the proportion of intravaginal buds, resulting in a more spread-out, prostrate growth form (<xref ref-type="bibr" rid="B31">N&#x2019;Guessan and Hartnett, 2011</xref>). Therefore, changes in the bud bank composition may contribute to changes in clonal growth strategies among perennial grasses in response to defoliation (<xref ref-type="bibr" rid="B34">Qian et al., 2014</xref>).</p>
<p>Previous studies on bud banks under defoliation have focused on the bud banks at the community or plant guild level in terrestrial grasslands (<xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>; <xref ref-type="bibr" rid="B34">Qian et al., 2014</xref>; <xref ref-type="bibr" rid="B41">VanderWeide and Hartnett, 2015</xref>). Clonal macrophytes, which are a common feature of wetland habitats, are grazed by herbivorous waterfowl and domestic livestock (<xref ref-type="bibr" rid="B35">Smith et al., 2012</xref>; <xref ref-type="bibr" rid="B30">Mesa et al., 2015</xref>). The way in which clonal macrophytes adjust the demographic features of bud banks, such as bud density and composition, to regulate population dynamics in response to defoliation has not been studied in wetlands.</p>
<p>In the present study, we investigated the effects of repeated defoliation on density, composition, and biomass of bud banks in the wetland sedge <italic>Carex brevicuspis</italic> C. B. Clarke, an important forage species for cattle and migratory birds, in the Dongting Lake wetlands, China. Belowground bud banks contribute almost 100% of the aboveground shoot recruitment in mature populations of <italic>C. brevicuspis</italic> (<xref ref-type="bibr" rid="B18">Deng et al., 2015</xref>). The plant produces two types of rhizome buds: short rhizome buds (SRB), which form clumping ramets, and long rhizome buds (LRB), which form spreading ramets (<xref ref-type="bibr" rid="B9">Chen et al., 2011</xref>, <xref ref-type="bibr" rid="B6">2014</xref>; <xref ref-type="bibr" rid="B17">Deng et al., 2013b</xref>), resulting in a combined growth form. Our hypotheses were (1) that repeated defoliation would result in a decrease in the density and biomass of rhizome buds in <italic>C. brevicuspis</italic> and (2) that repeated defoliation in <italic>C. brevicuspis</italic> would produce a higher proportion of LRB and a lower proportion of SRB to promote a more spread-out growth form in order to avoid grazers. To test these hypotheses, we investigated the temporal dynamics of the shoot population and bud banks by sampling the aboveground shoot populations and the belowground bud banks for three defoliation frequencies (none, monthly, and bimonthly) over two consecutive years in the Dongting Lake wetlands.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Study Site</title>
<p>Dongting Lake (28&#x00B0;30&#x2032;&#x2013;30&#x00B0;20&#x2032;N, 111&#x00B0;40&#x2032;&#x2013;113&#x00B0;10&#x2032;E), the second largest freshwater lake in China, is located in the northern part of Hunan Province. It lies in a basin south of the Yangtze River and is connected to it by distributary channels. The surrounding wetlands are characterized by large seasonal fluctuations in the water level (up to 15 m) and are completely flooded June&#x2013;October and exposed November&#x2013;May. The mean annual temperature is 16.8&#x00B0;C, with hot summers (June&#x2013;August, 27.3&#x00B0;C) and cold winters (December&#x2013;February, 5.8&#x00B0;C) (<xref ref-type="bibr" rid="B22">Huang et al., 2013</xref>). The annual precipitation is 1382 mm, more than 60% of which falls between April and August. Our study site was located in the fence-enclosed monitoring plot (112&#x00B0;47&#x2032;11.6&#x2033;E, 29&#x00B0;29&#x2032;14.3&#x2033;N) of the Dongting Lake Station for Wetland Ecosystem Research from the Chinese Academy of Sciences. The number of days submerged in 2012 and 2013 were 171 and 167 days, respectively, and mean flooding depths were 2.60 &#x00B1; 1.25 and 2.91 &#x00B1; 1.15 m (mean &#x00B1; SE) respectively, at our study site.</p>
</sec>
<sec><title>Study species</title>
<p><italic>Carex brevicuspis</italic> (Cyperaceae) is a perennial rhizomatous sedge found in eastern mainland China and Taiwan (<xref ref-type="bibr" rid="B12">Dai et al., 2010</xref>). The pseudoculm of the plant, consisting of a series of overlapping leaf sheaths, is usually 20&#x2013;55 cm high. In the Dongting Lake wetlands, this species forms mono-dominant communities or is co-dominant with other <italic>Carex</italic> species. During the flood season (June&#x2013;October), the <italic>Carex</italic> vegetation is completely submerged and the aboveground shoots senesce. <italic>C. brevicuspis</italic> shoots emerge immediately after flooding (November), growing to a standing crop before January (<xref ref-type="bibr" rid="B6">Chen et al., 2014</xref>). In January, the plants are relatively dormant and the shoots partially wither because of the low temperatures. New ramets sprout in March, after which the plants grow rapidly, flowering and fruiting from March to May, but producing only a few seedlings in the field (<xref ref-type="bibr" rid="B8">Chen et al., 2015c</xref>; <xref ref-type="bibr" rid="B18">Deng et al., 2015</xref>). <italic>C. brevicuspis</italic> populations outside natural reserves are grazed frequently by cattle, whereas those within natural reserves are grazed less frequently in the Dongting Lake wetlands.</p>
</sec>
<sec><title>Experimental Design</title>
<p>Five sections of the lake shoreline dominated by <italic>C. brevicuspis</italic> were selected as study sites. The distance between each section was at least 200 m. In each section, three permanent quadrats (each 5 m &#x00D7; 5 m) were established parallel to the lake shoreline. The corners of each quadrat were marked by hammering durable plastic tubes into the soil. The distance between each quadrat was 5 m. One of three treatments (monthly defoliation, bimonthly defoliation, and no defoliation) was randomly assigned to each quadrat, with five replications of each treatment.</p>
</sec>
<sec><title>Above- and Belowground Sampling</title>
<p>The experiment started on November 13, 2012 (after flooding). On that day, all ramets in the monthly and bimonthly quadrats were clipped to a height of 5 cm, to simulate cattle grazing. Thereafter, the plants in each quadrat were clipped according to the designed frequency (monthly, bimonthly, or not at all) during the non-flooding season.</p>
<p>Above- and belowground sampling occurred 2 months after the last bimonthly clipping and before the next clipping during the non&#x2013;flooding season, January 2013&#x2013;March 2014: in mid-November (1 week after flooding), mid-January (the coldest month), and mid-March (after spring sprouting). During each sampling, one square (50 cm &#x00D7; 50 cm) was randomly selected in each quadrat, for a total of 15 squares per sampling. In each square, all living (>50% green, potentially photosynthetically active) aboveground shoots were counted, clipped, and placed in plastic bags. Undisturbed soil within the squares was excavated to a depth of 15 cm using a shovel and stored in plastic bags (<xref ref-type="bibr" rid="B6">Chen et al., 2014</xref>, <xref ref-type="bibr" rid="B7">2015b</xref>).</p>
</sec>
<sec><title>Sample Processing</title>
<p>Belowground tissue samples were carefully washed to remove the soil while protecting the integrity of the rhizome buds. For each sampled square, the roots, LRB, SRB, and spacers (connections between ramets) were separated. The LRB were defined as the rhizome buds that grew horizontally further than 1 cm from the parent shoot (<xref ref-type="bibr" rid="B4">Bernard, 1990</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2011</xref>), whereas the SRB grew vertically and clumped around the parent shoot (<xref ref-type="bibr" rid="B6">Chen et al., 2014</xref>). As axillary buds in the rhizome nodes were inconspicuous (usually less than 1 mm in length), especially in short rhizomes, and contribute little to shoot populations in <italic>Carex</italic> species (<xref ref-type="bibr" rid="B4">Bernard, 1990</xref>; <xref ref-type="bibr" rid="B17">Deng et al., 2013b</xref>), only apical rhizome buds, which have the potential to sprout into ramets, were classified and counted (<xref ref-type="bibr" rid="B8">Chen et al., 2015c</xref>). The total rhizome bud (TRB) density was calculated as the sum of the SRB and LRB per m<sup>2</sup>. Aboveground shoots, roots, spacers, LRB, and SRB were dried separately in an oven at 80&#x00B0;C for 48 h before the dry weight was measured. The LRB or SRB biomass included, in each case, the apical bud and the attached rhizome. The total plant biomass was defined as the total dry weight of the shoots, roots, spacers, LRB, and SRB per m<sup>2</sup>. Total biomass per ramet was calculated as the total plant biomass divided by ramet density in each square. Biomass per TRB was calculated as the TRB mass divided by TRB density in each square.</p>
</sec>
<sec><title>Data Analysis</title>
<p>The significance of differences in the height, density, and biomass of ramets, density, and biomass of rhizome buds, and proportion of SRB to TRB between defoliation treatments and sampling periods were evaluated by repeated analysis of variance (ANOVA), using defoliation frequency as a main factor and the sampling period as a repeated measure. Because some squares did not produce rhizome buds in March (i.e., the TRB density was zero), we did not analyze the differences in the proportion of SRB to TRB density between defoliation treatments for that month. Multiple comparisons of the means of plant traits under three defoliation frequencies at each sampling period were performed using Tukey&#x2019;s honest significant difference (HSD) test at a 0.05 significance level. If necessary, the data were square root- or log<sub>10</sub>-transformed to reduce the variance heterogeneity, and the homogeneity was tested using Levene&#x2019;s test. The data were expressed as the mean &#x00B1; standard error (SE) and <italic>p</italic> &#x003C; 0.05 was considered significant. All statistical analyses were performed using the statistical software SPSS V15.0 (SPSS Inc., USA).</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Ramet Height and Density</title>
<p>The ramet height was significantly affected by the defoliation frequency and sampling time, with significant interactions between both factors (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). The monthly and bimonthly defoliation treatments significantly decreased the ramet height for all samplings January 2013&#x2013;March 2014, with the exception of a non-significant decrease in January and November 2013 for the bimonthly defoliation treatment (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). The ramet density was significantly affected by the sampling time but not by the defoliation frequency (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>; <bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of repeated ANOVAs on plant traits in <italic>Carex brevicuspis</italic> populations for three defoliation frequencies January 2013&#x2013;March 2014 (<italic>F</italic> and <italic>P</italic>-values).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Defoliation frequency (D)</th>
<th valign="top" align="center">Sampling time (S)</th>
<th valign="top" align="center">D &#x00D7; S</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ramet height</td>
<td valign="top" align="center">19.69&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">188.35&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">4.68&#x02C6;&#x002A;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Ramet density</td>
<td valign="top" align="center">1.23&#x02C6;ns</td>
<td valign="top" align="center">149.53&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">0.72&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">Shoot mass per ramet</td>
<td valign="top" align="center">48.20&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">18.77&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">11.04&#x02C6;&#x002A;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Root mass per ramet</td>
<td valign="top" align="center">7.05&#x02C6;&#x002A;&#x002A;</td>
<td valign="top" align="center">112.50&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">3.41&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">Total biomass per ramet</td>
<td valign="top" align="center">7.45&#x02C6;&#x002A;&#x002A;</td>
<td valign="top" align="center">111.26&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">3.48&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">SRB density</td>
<td valign="top" align="center">0.57&#x02C6;ns</td>
<td valign="top" align="center">89.05&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">3.10&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">LRB density</td>
<td valign="top" align="center">0.57&#x02C6;ns</td>
<td valign="top" align="center">17.40&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">0.70&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">TRB density</td>
<td valign="top" align="center">0.57&#x02C6;ns</td>
<td valign="top" align="center">90.03&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">2.3&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">SRB proportion<sup>a</sup></td>
<td valign="top" align="center">1.17&#x02C6;ns</td>
<td valign="top" align="center">9.38&#x02C6;&#x002A;&#x002A;</td>
<td valign="top" align="center">2.32&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">Biomass per SRB</td>
<td valign="top" align="center">0.98&#x02C6;ns</td>
<td valign="top" align="center">1.62&#x02C6;ns</td>
<td valign="top" align="center">1.14&#x02C6;ns</td>
</tr>
<tr>
<td valign="top" align="left">Biomass per LRB</td>
<td valign="top" align="center">3.06&#x02C6;ns</td>
<td valign="top" align="center">30.76&#x02C6;&#x002A;&#x002A;</td>
<td valign="top" align="center">4.16&#x02C6;&#x002A;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Biomass per TRB</td>
<td valign="top" align="center">0.33&#x02C6;ns</td>
<td valign="top" align="center">16.18&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">3.14&#x02C6;&#x002A;</td>
</tr>
<tr><td valign="top" align="left" colspan="4"><hr/></td></tr>
<tr>
<td valign="top" align="left">d.f.</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>SRB, LRB, and TRB correspond to short, long, and total rhizome buds, respectively.</italic></attrib>
<attrib><italic><sup>&#x2217;&#x2217;&#x2217;</sup><italic>p</italic>&#x003C; 0.001, <sup>&#x2217;&#x2217;</sup><italic>p</italic> &#x003C; 0.01, <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05, <sup>ns</sup><italic>p</italic> > 0.05.</italic></attrib>
<attrib><italic><sup>a</sup>d.f. for sampling time (S) is 2 and D &#x00D7; S is 4.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>Ramet height <bold>(A)</bold> and density <bold>(B)</bold> of <italic>Carex brevicuspis</italic> populations for three defoliation frequencies, January 2013&#x2013;March 2014.</bold> The data are expressed as the mean &#x00B1; standard error (SE). <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-07-01119-g001.tif"/>
</fig>
</sec>
<sec><title>Shoot, Root, and Total Biomass Per Ramet</title>
<p>Shoot mass per ramet was significantly affected by defoliation frequency and sampling time, with significant interactions between both factors (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Monthly defoliation significantly decreased the shoot mass per ramet for all sampling times, except for a non-significant reduction in March 2013 (<bold>Figure <xref ref-type="fig" rid="F2">2A</xref></bold>). Bimonthly defoliation significantly decreased the shoot mass per ramet for all sampling times, except for non-significant reductions in March and November 2013 (<bold>Figure <xref ref-type="fig" rid="F2">2A</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>Shoot <bold>(A)</bold>, root <bold>(B)</bold>, and total <bold>(C)</bold> mass per ramet of <italic>C. brevicuspis</italic> populations for three defoliation frequencies, January 2013&#x2013;March 2014.</bold> The data are expressed as the mean &#x00B1; standard error (SE). <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05, <italic><sup>&#x2217;&#x2217;</sup>p</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup><italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-07-01119-g002.tif"/>
</fig>
<p>The root and total biomass per ramet were also significantly affected by the defoliation frequency and sampling time (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). In March 2013, monthly defoliation decreased the root and total biomass per ramet, while bimonthly defoliation did not reveal a significant reduction (<bold>Figures <xref ref-type="fig" rid="F2">2B,C</xref></bold>). In January 2014, bimonthly defoliation significantly reduced the root and total biomass per ramet (<bold>Figures <xref ref-type="fig" rid="F2">2B,C</xref></bold>).</p>
</sec>
<sec><title>SRB, LRB, and TRB Density</title>
<p>The SRB density was significantly affected by the sampling time, with significant interactions between the sampling time and defoliation frequency (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). The monthly defoliation increased the SRB density in November 2013 (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>). The LRB and TRB density were significantly affected by the sampling time but not by the defoliation frequency (<bold>Figures <xref ref-type="fig" rid="F3">3B,C</xref></bold>). The seasonal changes in the SRB, LRB, and TRB densities displayed similar trends for all treatments, peaking in January and dramatically decreasing in March (<bold>Figures <xref ref-type="fig" rid="F3">3A&#x2013;C</xref></bold>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>Short rhizome bud (SRB, <bold>A)</bold>, long rhizome bud (LRB, <bold>B)</bold>, and total rhizome bud (TRB, <bold>C)</bold> density of <italic>C. brevicuspis</italic> populations for three defoliation frequencies, January 2013&#x2013;March 2014.</bold> Different scales are used on the <italic>y</italic>-axis. The data are expressed as the mean &#x00B1; standard error (SE). <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic xlink:href="fpls-07-01119-g003.tif"/>
</fig>
<p>The majority of buds among all treatments throughout the growing season were SRB (53.3&#x2013;83.8%, <bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>). The proportion of SRB to TRB was significantly affected by the sampling time but not by the defoliation frequency (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>; <bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><bold>Proportion of short rhizome buds (SRB) to total rhizome buds (TRB) of <italic>C. brevicuspis</italic> populations for three defoliation frequencies in January and November 2013 and January 2014.</bold> The data are expressed as the mean &#x00B1; standard error (SE). <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic xlink:href="fpls-07-01119-g004.tif"/>
</fig>
</sec>
<sec><title>Biomass Per SRB, LRB, and TRB</title>
<p>The biomass per SRB was not significantly affected by defoliation frequency and sampling time (<bold>Table <xref ref-type="table" rid="T1">1</xref>, Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). The biomass per LRB and TRB were significantly affected by the sampling time, with significant interactions between the sampling time and defoliation frequency (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). Monthly defoliation decreased the biomass per LRB and TRB in November 2013 and January 2014, but bimonthly defoliation was not associated with a significant reduction (<bold>Figures <xref ref-type="fig" rid="F5">5B,C</xref></bold>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p><bold>Biomass per short rhizome bud (SRB, <bold>A)</bold>, long rhizome bud (LRB, <bold>B)</bold>, and total rhizome bud (TRB, <bold>C)</bold> <italic>C. brevicuspis</italic> populations for three defoliation frequencies, January 2013&#x2013;March 2014.</bold> The data are expressed as the mean &#x00B1; standard error (SE). <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup><italic>p</italic> &#x003C; 0.01</p></caption>
<graphic xlink:href="fpls-07-01119-g005.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Repeated defoliation did not change the seasonal dynamics of the bud bank density of <italic>C. brevicuspis</italic>, which peaked in January and was lowest in March for all treatments. In addition, the TRB density of <italic>C. brevicuspis</italic> did not decrease significantly under repeated defoliation for 2 years (a total of 10 times for the monthly defoliation treatment). Therefore, our first hypothesis&#x2014;that repeated defoliation would result in a decrease of the bud bank density&#x2014;was proven false.</p>
<p>As a large number of buds sprout to replace the shoot population after defoliation, the number of dormant buds in the bud bank should decline after defoliation (<xref ref-type="bibr" rid="B7">Chen et al., 2015b</xref>). For example, grass bud banks decrease when the grass stem densities increase after grazing (<xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>). However, in the case of <italic>C. brevicuspis</italic>, which is a non-stem species, apical meristems were able to survive defoliation, as they are close to the ground (<xref ref-type="bibr" rid="B6">Chen et al., 2014</xref>). Defoliated ramets usually add buds as they regrow new leaves (<xref ref-type="bibr" rid="B44">Williams and Briske, 1991</xref>; <xref ref-type="bibr" rid="B32">Ott and Hartnett, 2011</xref>). Therefore, there were no significant differences in ramet or TRB density between defoliation treatments.</p>
<p>Nevertheless, the ramet height and the shoot, root, and rhizome bud biomass of <italic>C. brevicuspis</italic> decreased significantly under repeated defoliation. The results indicated that <italic>C. brevicuspis</italic> produces small-sized ramets and rhizome buds in response to repeated defoliation. Intense defoliation, which removes most of the photosynthetic tissues, usually reduces the plant&#x2019;s growth and results in a smaller amount of carbon being stored (<xref ref-type="bibr" rid="B20">Ferraro and Oesterheld, 2002</xref>; <xref ref-type="bibr" rid="B26">Li et al., 2004</xref>; <xref ref-type="bibr" rid="B46">Zhao et al., 2008</xref>; <xref ref-type="bibr" rid="B19">Esmaeili et al., 2009</xref>; <xref ref-type="bibr" rid="B28">Liu and Li, 2010</xref>). The capacity of the plants to resprout from buds and grow after disturbances might be closely related to the carbon reserves in the perennial organs (<xref ref-type="bibr" rid="B16">Deng et al., 2013a</xref>), with bud production incurring significant opportunity and carbon allocation costs (<xref ref-type="bibr" rid="B43">Vesk and Westoby, 2004</xref>). Therefore, due to limited carbon storage after defoliation, <italic>C. brevicuspis</italic> might produce smaller individual ramet and rhizome buds.</p>
<p>Although the monthly defoliation treatment increased the density of short rhizomes in November 2013, the proportion of SRB to TRB did not change significantly during the study period. Therefore, our second hypothesis&#x2014;that defoliation would promote a higher proportion of LRB and a lower proportion of SRB, creating a more spread-out growth form&#x2014;was invalidated.</p>
<p>In <italic>S. scoparium</italic>, repeated defoliation was associated with a shift from vertical to more prostrate growth through changes in bud position, resulting in a greater proportion of tissue being inaccessible to herbivores (<xref ref-type="bibr" rid="B31">N&#x2019;Guessan and Hartnett, 2011</xref>). In response to sedimentation or competitive stress, <italic>C. brevicuspis</italic> demonstrated a change from phalanx to guerrilla growth by producing a higher proportion of LRB and a lower proportion of SRB (<xref ref-type="bibr" rid="B9">Chen et al., 2011</xref>; <xref ref-type="bibr" rid="B27">Li et al., 2015</xref>). Previous studies indicated that long rhizomes enable tillers to escape from stressful microsites in a spatially heterogeneous habitat (<xref ref-type="bibr" rid="B15">de Kroon and Hutchings, 1995</xref>; <xref ref-type="bibr" rid="B10">Cheplick, 1997</xref>). However, the risk of being grazed may be equal for phalanx and guerrilla tillers, meaning that the grazing pressure may be homogenous for the <italic>C. brevicuspis</italic> tiller population. Furthermore, more energy may be required for the production of long rhizomes than for the production of short rhizomes (<xref ref-type="bibr" rid="B10">Cheplick, 1997</xref>). After defoliation, plants that allocate energy to produce long connections may be less competitive than plants that produce a dense population of ramets with short connections (<xref ref-type="bibr" rid="B1">Benot et al., 2009</xref>).</p>
<p>The maintenance of a large bud bank after repeated defoliation may contribute to the regeneration and persistence of <italic>C. brevicuspis</italic> populations in disturbed habitats. In <italic>C. brevicuspis</italic>, a large bud bank may confer greater ability to recover from severe damage than a small bud bank (<xref ref-type="bibr" rid="B40">Tuomi et al., 1994</xref>; <xref ref-type="bibr" rid="B24">Klime&#x0161;ov&#x00E1; and Klime&#x0161;, 2007</xref>), potentially increasing the rates of shoot population recovery after disturbance (<xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2015b</xref>). In addition, a large bud bank may increase the ability of clonal plants to respond to resource pulses such as increased precipitation or nutrient concentrations after disturbances (<xref ref-type="bibr" rid="B13">Dalgleish and Hartnett, 2006</xref>).</p>
<p>However, persistent grazing for many years may gradually deplete the amount of carbon stored and the bud banks, reducing the species&#x2019; capacity for recovery (<xref ref-type="bibr" rid="B31">N&#x2019;Guessan and Hartnett, 2011</xref>; <xref ref-type="bibr" rid="B34">Qian et al., 2014</xref>). The present study also indicated that monthly defoliation reduced the biomass of rhizome buds and total biomass per ramet of <italic>C. brevicuspis</italic>, potentially affecting bud density in the long-term. Furthermore, small ramets and rhizomes of a <italic>C. brevicuspis</italic> population may be susceptible to invasion and replacement by exotic species (<xref ref-type="bibr" rid="B14">Dalgleish and Hartnett, 2009</xref>). The SRB and TRB density of <italic>C. brevicuspis</italic> were higher in January 2014 than in January 2013, especially in the control treatment, indicating inter-annual variation in bud bank density. Bud bank demography may be influenced by environmental factors such as soil water status and precipitation (<xref ref-type="bibr" rid="B13">Dalgleish and Hartnett, 2006</xref>; <xref ref-type="bibr" rid="B17">Deng et al., 2013b</xref>). The <italic>C. brevicuspis</italic> population that we studied was located in a natural reserve that experienced less herbivory than populations outside natural reserves. Tolerance to defoliation could differ among populations that have different histories of exposure to herbivores (<xref ref-type="bibr" rid="B29">Lu and Ding, 2012</xref>). Further investigation should include populations outside natural reserves and clarify the long-term effects of defoliation on bud banks of <italic>C. brevicuspis</italic>.</p>
</sec>
<sec><title>Conclusion</title>
<p>Our study demonstrated that the density, composition, and seasonal dynamics of bud banks did not change significantly in response to monthly or bimonthly defoliation for 2 years. Bud banks of <italic>C. brevicuspis</italic> appear to follow a conservative reproductive strategy and were tolerant to grazing. However, repeated defoliation significantly reduced the plant size and the amount of carbon stored in the rhizomes. Long-term, frequent defoliation could have a negative effect on bud bank density.</p>
</sec>
<sec><title>Author Contributions</title>
<p>X-SC and Y-HX wrote the manuscript and executed the technical assays and statistical analysis. X-SC and Y-HX designed the experiment and edited the manuscript text. Z-MD, FL, Z-YH, and CW contributed to data collection and interpretation. All authors reviewed the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by the Basic Work Program of the Ministry of Science and Technology of China (2013FY111800), the Knowledge Innovation Program of the Chinese Academy of Sciences (ISACX-LYQY-QN-1207), and the National Natural Science Foundation of China (31000143).</p>
</fn>
</fn-group>
<ack>
<p>We thank X. Li, J. K. Gong, and Y. F. Li for assistance with the field investigation. We are especially grateful to two anonymous reviewers for providing helpful comments on an earlier version of the manuscript.</p>
</ack>
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