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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.874818</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Wave Attenuation Over Mangroves in the Nanliu Delta, China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1818734"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dai</surname>
<given-names>Zhijun</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>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/101872"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pang</surname>
<given-names>Wenhong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1391075"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1100688"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Long</surname>
<given-names>Chuqi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1307777"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Estuarine and Coastal Research, East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zheng Gong, Hohai University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yining Chen, Ministry of Natural Resources, China; Zhiyuan Wu, Changsha University of Science and Technology, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhijun Dai, <email xlink:href="mailto:zjdai@sklec.ecnu.edu.cn">zjdai@sklec.ecnu.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Coastal Ocean Processes, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>874818</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zhou, Dai, Pang, Wang and Long</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhou, Dai, Pang, Wang and Long</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>Mangrove forests grow on tropical and subtropical coastlines and play a significant role in reducing hydrodynamic energy. However, little information is known about the mechanism of wave attenuation caused by mangroves of different ages, even though the effects of mangroves on wave damping have received widespread concern. Here, a series of systemic biohydrological data were collected along a cross-shore transect through mangroves with different ages of native <italic>Aegiceras corniculatum</italic> (<italic>AC</italic>) distribution in the Nanliu Delta of China and were analyzed to investigate wave attenuation over mangroves during different tidal conditions. The results showed that the wave height decreased nearly 58.33%, with a transport distance of 275 m in the <italic>AC</italic> seedling-sapling region, and approximately 80%, with a transport distance of 1,000 m in the sapling-adult region, on average. The largest wave height attenuation rate of 3 &#xd7; 10<sup>&#x2212;3</sup> was found in the measured time period and occurred in the seedling-sapling section during the neap tide, while the sapling-adult region had a basically constant reduction rate of 0.8 &#xd7; 10<sup>&#x2212;3</sup> under changing tidal conditions. Moreover, the drag coefficient calculation indicated that an <italic>AC</italic> seedling with a height of nearly 0.55 m was more effective in attenuating wave energy than the stem part of a grown tree with a height of nearly 1.2 m. <italic>AC</italic> seedlings and saplings have significant impacts on wave damping, even though the stem part of an adult <italic>AC</italic> could produce a decline in wave energy. Moreover, differences in the drag coefficient caused by stems and canopies were responsible for wave attenuation, and the degree of <italic>AC</italic> inundation volume induced by water level fluctuation might affect the wave damping effect. Our results documented distinct differences in the wave attenuation process by mangroves of different ages, which can inform superior designs of mangroves along coasts against a background of sea-level rise and the occurrence of frequent typhoons.</p>
</abstract>
<kwd-group>
<kwd>mangroves</kwd>
<kwd>tidal flat</kwd>
<kwd>wave attenuation</kwd>
<kwd>drag coefficient</kwd>
<kwd>Nanliu Delta</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="1"/>
<equation-count count="4"/>
<ref-count count="43"/>
<page-count count="13"/>
<word-count count="6174"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>As one of the most productive halophytic populations situated in the intertidal areas of tropical and subtropical coastlines (<xref ref-type="bibr" rid="B37">Tomlinson, 2016</xref>; <xref ref-type="bibr" rid="B39">Van der Stocken et&#xa0;al., 2019</xref>), mangrove forests have extraordinary buffering and carbon stock functions (<xref ref-type="bibr" rid="B18">Horstman et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B4">Atwood et&#xa0;al., 2017</xref>). A 100-m-wide belt of mangroves with 30 trees per 100 m<sup>2</sup> has the capacity of 90% to reduce flow pressure by 90% during a catastrophic tsunami (<xref ref-type="bibr" rid="B11">Danielsen, 2005</xref>). Several examples have indicated that mangrove forests prevent urban areas and villages from being destroyed by large waves, storm surges, and tsunami disasters (<xref ref-type="bibr" rid="B11">Danielsen, 2005</xref>, <xref ref-type="bibr" rid="B27">Mazda et&#xa0;al., 1997a</xref>, <xref ref-type="bibr" rid="B29">McIvor et&#xa0;al., 2015</xref>). Hurricane Wilma, which attacked the gulf coast of south Florida in America on 24 October 2005, was attenuated by a 6&#x2013;30-km-wide mangrove band and prevented an area of 1,800 km<sup>2</sup> from becoming inundated by decreasing the wave amplitudes (<xref ref-type="bibr" rid="B43">Zhang et&#xa0;al., 2012</xref>). Hepu County in Guangxi Province in China, as the starting point of the Maritime Silk Road in the Han Dynasty (<xref ref-type="bibr" rid="B15">Han and Yang, 2004</xref>), suffered the destructive Typhoon Sarah (No. 8609) with a wave height of greater than 3 m on 21 and 22 July 1986, resulting in a large financial loss of 172 million CNY and affecting more than 418 thousand people. Ninety percent of the sea walls were damaged, yet those that were protected by stretched mangroves were slightly broken or even intact (<xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2013</xref>). (<xref ref-type="bibr" rid="B42">Wu et&#xa0;al., 2021</xref>) adopted an applicable numerical model and indicated that the average typhoon wave height in the South China Sea was within 3.0&#x2013;9.2 m. Therefore, while potential climate change has induced an increase in the occurrence of extreme events (<xref ref-type="bibr" rid="B13">Easterling, 2000</xref>), there is an urgent need to comprehend the living and coping mechanisms of these crucial forests in increasingly harsh circumstances.</p>
<p>Mangrove forests survive in a relatively quiescent zone of estuaries and bays; nevertheless, they experience moderate waves in normal weather or attenuate large waves from tsunamis and typhoons (<xref ref-type="bibr" rid="B2">Alongi, 2008</xref>; <xref ref-type="bibr" rid="B3">Alongi, 2009</xref>). Studies on the function of the wave attenuation of mangroves have received attention and have employed field and laboratory experiments or numerical models since the late nineties (<xref ref-type="bibr" rid="B33">Quartel et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B3">Alongi, 2009</xref>; <xref ref-type="bibr" rid="B6">Bao, 2011</xref>; <xref ref-type="bibr" rid="B41">Willemsen et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B30">Montgomery et&#xa0;al., 2019</xref>). For instance, <xref ref-type="bibr" rid="B40">Vo-Luong and Massel (2008)</xref> observed a significant wave reduction in a mixed mangrove forest of <italic>Avicennia</italic> sp. and <italic>Rhizophora</italic> sp. in Vietnam. Through laboratory experiments, <xref ref-type="bibr" rid="B38">Tuyen and Hung (2009)</xref> indicated that shallower water obtained a larger wave energy reduction rate. <xref ref-type="bibr" rid="B31">Parvathy and Bhaskaran (2017)</xref> revealed that a mild slope along mangrove tidal flats can reduce 93&#x2013;98% of wave energy by Simulating Waves Nearshore (SWAN) modeling. Popular field observations in recent decades have mainly focused on mangrove trees grown over a single age period, and normal laboratory experiments have adopted artificial structures to simulate the dissipation process (<xref ref-type="bibr" rid="B6">Bao, 2011</xref>; <xref ref-type="bibr" rid="B28">McIvor et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B1">Abdullah et&#xa0;al., 2019</xref>). Moreover, most of the numerical models concentrate on biomechanical or hydrodynamic conditions of specific vegetation (<xref ref-type="bibr" rid="B32">Peralta et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B40">Vo-Luong and Massel, 2008</xref>; <xref ref-type="bibr" rid="B36">Thuy et&#xa0;al., 2017</xref>). Nonetheless, the wave attenuation process during half a lunar cycle for different ages of mangroves has been poorly captured by field observations.</p>
<p>Furthermore, both laboratory studies and field observations demonstrate that a proportional relationship between the submerged conditions of mangroves and attenuation effects can be found in dense mangroves in Vietnam and China (<xref ref-type="bibr" rid="B33">Quartel et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B5">Augustin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2016</xref>). However, <xref ref-type="bibr" rid="B26">Mazda (2006)</xref> found that the wave reduction rate was proportional to the water level when the water rose above the canopy of <italic>Sonneratia</italic> sp. in northern Vietnam. <xref ref-type="bibr" rid="B21">Kinver (2016)</xref> indicated that the wave damping rate was determined by the distance of wave propagation along a mangrove band. Moreover, drag forces controlled by the inundation volume of young <italic>Rhizophora</italic> specimens generated the highest wave damping efficiency (<xref ref-type="bibr" rid="B24">Maza et&#xa0;al., 2021</xref>). Thereafter, various factors resulted in the distinct effects of wave dissipation based on the measured cases from Japan, China, and Australia (<xref ref-type="bibr" rid="B7">Brinkman, 2006</xref>; <xref ref-type="bibr" rid="B8">Cao et&#xa0;al., 2016</xref>). The conundrum about the leading mechanism of wave reduction among mangroves of different ages needs to be resolved.</p>
<p>Approximately 8,374.9 hm<sup>2</sup> of mangroves extend along the coastline of the Beibu Gulf, located in the subtropical and tropical zones, where approximately 30% of the total area is occupied by mangroves in China. Moreover, more than 45% of the mangrove forests around the Beibu Gulf are predominantly distributed in the Nanliu Delta (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The Nanliu Delta, as the largest delta of the Beibu Gulf in Southwest China, is fed with 51.3 &#xd7; 10<sup>8</sup> m&#xb3; of water discharge and 1.18 &#xd7; 10<sup>6</sup> t of sediment discharge from the Nanliu basin yearly (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2017</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>
<bold>)</bold>. Mangroves are distributed widely along deltaic tidal flats, which can be highly efficient in protecting coastal zones over 500 km from the typhoon-induced wave attraction, especially as in the case of the unprecedented storms in 1986 (<xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2013</xref>). Therefore, the seaward mangrove tidal flat of Qixing Island, located in the central Nanliu Delta, provides a typical case for determining the coupling effects between mangroves and hydrodynamic behavior, especially the attenuation process across the entire tidal flat from low to high areas, with distributions of aboriginal <italic>Aegiceras corniculatum</italic> (<italic>AC</italic>) of different ages. The aims of this study are to reveal the wave damping process during half a lunar cycle among <italic>AC</italic> of different ages and to discern the respective wave attenuation abilities induced by the stem and canopy parts of <italic>AC</italic> under different tidal conditions. The results derived from this study are beneficial references for constructing a &#x201c;green embankment&#x201d; as a defense against storm hazards in the context of global warming.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Map of the Beibu Gulf with its location in relation to China; <bold>(B)</bold> study area in relation to Hepu County, Beibu Gulf, and Nanliu River; <bold>(C)</bold> tripod setting location on the <italic>Aegiceras corniculatum</italic> tidal flat; <bold>(D)</bold> elevation with respect to the mean sea level (MSL) of the cross-shore transects with relative distance from the inshore tripod, with instrument tripods and mixed age <italic>A. corniculatum</italic>. Tidal water levels are indicated on the right axis (MHWS, mean high water level at spring tide; MLWS, mean low water level at spring tide; MHWN, mean high water level at neap tide; MLWN, mean low water level at neap tide).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g001.tif"/>
</fig>
</sec>
<sec id="s2">
<title>2 Methods</title>
<sec id="s2_1">
<title>2.1 Data Collection</title>
<p>The Nanliu Delta is dominated by irregular diurnal tides with an average and maximum tidal range of 2.46 and 5.36 m, respectively. The nearshore wave climate in this region varies seasonally with a maximum average wave height of 1.36 m (<xref ref-type="bibr" rid="B34">State Oceanic Administration, 1998</xref>), yet the maximum current speeds are 0.26&#x2013;0.36 m/s (<xref ref-type="bibr" rid="B19">Huang et&#xa0;al., 2022</xref>). <italic>AC</italic> is dominantly distributed over Qixing Island, which is located at the delta center with scattered <italic>Cyperus malaccensis</italic> patches. The mean grain size of sediments over the <italic>AC</italic> tidal flat ranges from 0.2 mm in the seedling-sapling region to 0.04 mm in the sapling-adult region. A transverse transect through an <italic>AC</italic> tidal flat composed of 3 hydrological tripods was set up on the south side of Qixing Island (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Three tripods were positioned along a transect with a length of 1.275 km. The Tripod SC (109&#xb0;2&#x2019;12.69&#x201d;E, 21&#xb0;36&#x2019;9.73&#x201d;N), with a location height of 2.63 m above mean sea level in Beihai, was set at the upper part of the <italic>AC</italic> tidal flat, with mixed adults and saplings (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>F</bold>
</xref>
<bold>)</bold>. The Tripod SB (109&#xb0;2&#x2019;2.04&#x201d;E, 21&#xb0;35&#x2019;39.03&#x201d;N) with a relative location height of 1.17 m, was set at the transition region between the adult <italic>AC</italic> tree region and the seedling region. Additionally, tripod SA (109&#xb0;1&#x2019;58.48&#x201d;E, 21&#xb0;35&#x2019;30.47&#x201d;N), with a relative location height of 0.25 m, was set offshore in an area with mixed saplings and small seedlings. The distance from tripod SA to tripod SB was 0.275 km, and that from SB to SC was 1 km (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>).</p>
<p>Furthermore, wave recorders (RBR-2050 and RBR-solo3) were placed in line at these three tripods along the <italic>AC</italic> transect to obtain the wave and tide information from the 16th to the 29th of August 2019. These recorders are robust and have internal memory and battery housing so that they can collect the data autonomously. The sampling start time can be set at every deployment. Based on previous work conducted in mangrove tidal flats (<xref ref-type="bibr" rid="B33">Quartel et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B18">Horstman et&#xa0;al., 2014</xref>), the instruments logged data at 4 Hz over a consecutive 512 s (~8 min) period every 20 min (2,048 samples per burst), and they were fixed 10 cm above the ground, which can indicate the wave variation during an entire tidal period. The wave recorder used in this observation had an effective measuring range for wave heights of 0.005&#x2013;10 m. The measured water depth was converted to the water level based on mean sea level.</p>
</sec>
<sec id="s2_2">
<title>2.2 Data Processing</title>
<sec id="s2_2_1">
<title>2.2.1 Mangrove Volumetric Cover Calculation</title>
<p>Three investigation zones were selected along the tripod transect to quantify vegetation parameters, and two plots were randomly distributed per zone to acquire general information about the area. Each plot was 5 &#xd7; 5 m<sup>2</sup> and was close to the hydrodynamic (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;C</bold>
</xref>) tripod, where <italic>AC</italic>, including adults, saplings, and seedlings, were present (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D&#x2013;F</bold>
</xref>). The height (H), length (L), and width (W) of the <italic>AC</italic> canopy in these three plots were measured (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Stem diameters were obtained at 0.1, 0.3, 0.5, and 0.8 H above the bed. Each stem diameter and the number of stems at each height was also collected during the measurement (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Then, detailed information was transformed into volumetric cover (%) at different heights <italic>via</italic> Formula (1) deployed by <xref ref-type="bibr" rid="B25">Mazda et&#xa0;al. (1997b)</xref>, which can quantify the occupation of the different parts of mangroves and the effect caused by this part.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A&#x2013;C)</bold> show the deployment of each tripod and instrument placement method, which includes SA) RBR-2050; SB) RBR-2050; and SC) RBR-SOLO<sup>3</sup>. <bold>(D</bold>&#x2013;<bold>F)</bold> show the distribution of mangroves of different ages. .</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Calculation method of the volumetric cover. <bold>(A)</bold> W, L, and H refer to the width, length, and height of the plant canopy; <bold>(B)</bold> a single branch extracted from <italic>Aegiceras corniculatum</italic>, which is generalized in <bold>(C)</bold> l and R refer to the length and radius of a single branch, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g003.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Station information with <italic>in situ</italic> typical <italic>AC</italic>s&#x2019; features.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Elevation (m)</th>
<th valign="top" align="center">Age</th>
<th valign="top" align="center">Density (per m<sup>2</sup>)</th>
<th valign="top" align="center">Position at <italic>AC</italic>
</th>
<th valign="top" align="center">R (m)</th>
<th valign="top" align="center">n</th>
<th valign="top" align="center">L (m)</th>
<th valign="top" align="center">Volumetric Cover (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">SA</td>
<td valign="top" rowspan="4" align="center">0.25</td>
<td valign="top" align="left">Se</td>
<td valign="top" rowspan="2" align="center">0.12</td>
<td valign="top" align="left">/</td>
<td valign="top" align="center">0.0015</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">16.53</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Sa</td>
<td valign="top" align="left">0.1 H</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">4.22</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">0.2</td>
<td valign="top" align="left">0.3 H</td>
<td valign="top" align="center">0.0045</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">1.56</td>
</tr>
<tr>
<td valign="top" align="left">0.5 H</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">54.55</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">SB</td>
<td valign="top" rowspan="4" align="center">1.17</td>
<td valign="top" align="left">Se</td>
<td valign="top" rowspan="2" align="center">0.32</td>
<td valign="top" align="left">/</td>
<td valign="top" align="center">0.0025</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">5.25</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Sa</td>
<td valign="top" align="left">0.1 H</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">2.12</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">1.04</td>
<td valign="top" align="left">0.3 H</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">0.5 H</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">60.61</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">SC</td>
<td valign="top" rowspan="6" align="center">2.63</td>
<td valign="top" rowspan="3" align="left">Sa</td>
<td valign="top" rowspan="3" align="center">2.8</td>
<td valign="top" align="left">0.1 H</td>
<td valign="top" align="center">0.045</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">28.27</td>
</tr>
<tr>
<td valign="top" align="left">0.3 H</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">0.5&#x2013;0.8 H</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Ad</td>
<td valign="top" rowspan="3" align="center">1.6</td>
<td valign="top" align="left">0.1 H</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">14.68</td>
</tr>
<tr>
<td valign="top" align="left">0.3 H</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">16.33</td>
</tr>
<tr>
<td valign="top" align="left">0.5&#x2013;1 H</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">46.67</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Se, seedling; Sa, sapling; Ad, adult.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>To calculate the volumetric cover at different heights, every branch was simplified to a circular cone (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), and its radius and length were obtained. The volumetric cover of a single tree was acquired by Formula (1):</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>Volumetric&#xa0;cover</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mn>3</mml:mn>
</mml:mfrac>
<mml:mi>&#x3c0;</mml:mi>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0.1</mml:mn>
<mml:mi>H</mml:mi>
<mml:mo>,</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0.3</mml:mn>
<mml:mi>H</mml:mi>
<mml:mo>,</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:mi>H</mml:mi>
<mml:mo>,</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mn>0.8</mml:mn>
<mml:mi>H</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>a</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:msub>
<mml:msubsup>
<mml:mi>R</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mi>l</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mi>W</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>L</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>H</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where R, l, and n are the mean radius, length, and number of branches at different heights, respectively. For small seedlings or samplings that were not high enough, only 0.1 to 0.5 H were measured. W, L, and H are the width, length, and height of the canopy, respectively. Since seedlings and saplings were not high enough to reach 0.5 H, measurements were limited to 0&#x2013;0.5 H for these plants.</p>
</sec>
<sec id="s2_2_2">
<title>2.2.2 Wave Attenuation Calculation</title>
<p>Based on the wave data collected from 16 to 29 of August 2019, the average wave heights, periods, and wave energies every 20 min at the three stations were acquired directly from the wave recorders at each spring, middle, and neap tide. Water surface fluctuation data were processed by fast Fourier transforms (FFT) at bursts of 90&#x2013;94, 236&#x2013;241, and 570&#x2013;576 to observed density spectrum changes with different frequencies at flood tide during spring, middle and neap tides, respectively. Bursts 95&#x2013;98, 242&#x2013;244, and 577&#x2013;578 were observed at the ebb tide during the spring, middle, and neap tides, respectively. The wave components were also detected <italic>via</italic> this method. Moreover, the wave energy density for each burst was also calculated based on (<xref ref-type="bibr" rid="B17">Hegge and Masselink, 1996</xref>) Fourier analysis scheme.</p>
<p>Moreover, according to the definition proposed by (<xref ref-type="bibr" rid="B26">Mazda et&#xa0;al., 2006</xref>), the wave height reduction rate per unit length is:</p>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>r</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>H</mml:mi>
</mml:mrow>
<mml:mi>H</mml:mi>
</mml:mfrac>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where r is the wave attenuation rate and &#x394;<italic>x</italic> is the distance between two observation stations. <italic>H</italic> is the wave height offshore, and &#x394;<italic>H</italic> is the wave height difference observed by the two stations. Here, the wave height reduction rate was calculated by adopting this formula to infer the attenuation ability of mangroves.</p>
<p>Regarding wave propagation in the shoaling zone, <xref ref-type="bibr" rid="B25">Mazda et&#xa0;al., (1997b)</xref> proposed the following:</p>
<disp-formula>
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>+</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>D</mml:mi>
</mml:msub>
<mml:mi>&#x3c0;</mml:mi>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mtext>&#x394;</mml:mtext>
<mml:mi>x</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>32</mml:mn>
<mml:msqrt>
<mml:mn>2</mml:mn>
</mml:msqrt>
<mml:msup>
<mml:mi>h</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <italic>H</italic>
<sub>1</sub> and <italic>H</italic>
<sub>2</sub> are offshore and onshore wave heights, respectively. &#x394;<italic>x</italic> is the distance between two observation stations. <italic>h</italic> is the average water depth of the two stations. Thus, the drag coefficient <italic>C<sub>D</sub>
</italic> can be inferred as:</p>
<disp-formula>
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi>D</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mn>32</mml:mn>
<mml:msqrt>
<mml:mn>2</mml:mn>
</mml:msqrt>
</mml:mrow>
<mml:mi>&#x3c0;</mml:mi>
</mml:mfrac>
<mml:mo>&#xb7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msup>
<mml:mi>h</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mi>&#x394;</mml:mi>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>H</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The coefficient is affected by vegetation density. Since each region had a unique density, <italic>C<sub>D</sub>
</italic> was calculated for each region to manifest the resistance effect generated by <italic>AC</italic>.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3_1">
<title>3.1 Distributions of <italic>AC</italic>
</title>
<p>
<italic>AC</italic> along the selected transect from SA to SB covered seedlings of 1 year of age and sparse saplings of 2&#x2013;3 years of age. Seedlings in this region were approximately 0.19 m high, with canopy sizes of 0.09 m in width and 0.09 m in length. Saplings in this region were 0.55 m high with a canopy size of 0.2 m in width and 0.3 m in length (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Adults were distributed at a relative elevation of 2.63 m, which was above the mean high water level during spring tide (MHWS), with heights, widths, and lengths of 1.5, 1.7, and 1.7 m, respectively (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>
<bold>(A)</bold> Hydrodynamic information obtained by the three tripods from the 16th to the 29th of August 2019. Black lines refer to the data captured by tripod SA. Red dotted lines refer to the data captured by tripod SB, and blue lines refer to the data captured by tripod SC; <bold>(B</bold>&#x2013;<bold>D)</bold> show the inundation states of mangroves in the spring, middle, and neap tides, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g004.tif"/>
</fig>
<p>Moreover, canopy locations of adult <italic>AC</italic> were slightly higher than the MHWS water level (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1D</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4A, B</bold>
</xref>), and canopies of saplings or seedlings still emerged when tides arrived at the mean high water level during neap tide (MHWN).</p>
<p>Furthermore, the mean water levels during the spring tide were 2.38, 1.46, and 0.73 m at the locations of tripods SA to SC (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), respectively, indicating that the canopies of mangroves at SA and SB were submerged most of the time due to tidal level fluctuations. <italic>AC</italic> at the SC site could be inundated only to the branch position with the canopy part exposed to the air. The same situation also occurred at middle tide, with water levels of 1.99, 1.34, and 0.62 m (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), respectively, from offshore to the inshore station. Moreover, during the neap tide, <italic>AC</italic> at the SA station was wholly submerged, as the depth was 1.17 m. The water level was 0.49 m at tripod SB, where branches of mangroves can be submerged. At tripod SA, a fully adult mangrove was almost exposed to the air since the water level was less than 0.07 m (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>3.2 Characteristics of the Wave Density Spectrum at Different Mangrove Locations</title>
<p>The energy density varied distinctly with the <italic>AC</italic> of different ages at each station (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>
<bold>)</bold>. Specifically, the wave spectra remained unimodal during spring and neap tides (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, C</bold>
</xref>
<bold>)</bold> and bimodal (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>) during midtide. The wave energy densities increased with rising water levels (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, blue lines in boxes <bold>A</bold>, <bold>C</bold>) and decreased with falling water levels during spring and neap tides (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, red lines in boxes <bold>A</bold> and <bold>C</bold>). The energy density in the seedling-sapling region during the spring tide accepted the most powerful energy. The values varied from 0.03 to 0.055 &#xd7; 10<sup>&#x2212;3</sup> m<sup>2</sup>s and decreased to 0.009 &#xd7; 10<sup>&#x2212;3</sup> m<sup>2</sup>s from bursts of 90&#x2013;94 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, 1&#x2013;5) to 95&#x2013;98 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, 6&#x2013;9), respectively. For SB (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, 10&#x2013;14), the value first increased from 0.005 to 0.013 and finally decreased to nearly zero (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, 15&#x2013;18). Although the wave energy at SC was weak at every burst, its trend was the same as that of the other two tripods that were proportional to the water level (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, 19&#x2013;23). Similar to the spring tide, the energy density changed from 0.21 to 1.18 &#xd7; 10<sup>&#x2212;6</sup> m<sup>2</sup>s during rising water and declined to 0.18 &#xd7; 10<sup>&#x2212;6</sup> m<sup>2</sup>s in SA.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Energy density of the three observation tripods depicted from spring (box <bold>A</bold>), middle (box <bold>B</bold>) and neap (box <bold>C</bold>) tides.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g005.tif"/>
</fig>
<p>The energy spectrum shape at the middle tide appeared bimodal, with the related high-frequency crest tending to occur during the falling water period (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>, 7&#x2013;9) in the seedling-sapling region, and the higher-frequency crest occurred first. The energy of the former crest decreased, while that of the latter increased. The interaction between waves and seedlings-saplings was drastic during the middle tide with a relatively constant water level (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), resulting in a transition of wave composition from unimodal to bimodal, with the latter crest occurring at 0.4&#x2013;0.6 hz (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>, 10&#x2013;18).</p>
</sec>
<sec id="s3_3">
<title>3.3 Variations in Wave Conditions Along the <italic>AC</italic> Tidal Flat</title>
<p>The wave environment during the observation period was dominated by a southwest (SW) wind with speeds of 0.15&#x2013;0.32 m/s, indicating normal weather (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Significant wave heights showed distinct attenuation along the transect during different periods (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The average significant wave height was attenuated when it passed through every region during the spring tide. Specifically, from SA to SC, the wave height values were 0.1, 0.05, and 0.01 m, respectively. A similar declining trend was observed in every tidal period. At middle tide, the mean wave height along the transect decreased from 0.08 and 0.04 m to 0.008 m from SA to SC. Only wave data at tripod C were valid during neap tide, where the significant wave height was 0.02 m (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Limited by the low water level, no valid data were captured by the instruments at SB and SC in the neap tide. In summary, the wave height decreased by 58.33% in the SA&#x2013;SB region and 80% in the SB&#x2013;SC region on average during different tidal conditions.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Purple, white, and yellow shadows representing the periods during spring, middle, and neap tides, respectively. The figure describes <bold>(A)</bold> wind information during the observation period; <bold>(B)</bold> significant wave height; <bold>(C)</bold> wave period; and <bold>(D)</bold> wave energy. Data from the SA station are shown as black lines. Data from the SB station are shown as red dotted lines and data in the SC station are shown as blue lines. .</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g006.tif"/>
</fig>
<p>However, wave periods did not exhibit the same trend from the SA to SC station as wave height did. During spring tide, the average wave periods from SA to SC were 5.07, 4.52, and 5.34 s, respectively. Periods shortened at the middle of the tide, when the values were 4.20, 2.31, and 4.04 s, respectively. Only the SA station had a 2.31 s wave period during the neap tide. The average wave periods of the SB station were the shortest of all tide periods. However, from spring to middle to neap tide, the wave periods all shortened at these observation stations (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>).</p>
<p>Moreover, the average wave energy dissipated along this transect under different tidal conditions (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). During spring tide, the wave energy decreased from 7.44 J/m<sup>2</sup> at tripod SA to 5.65 J/m<sup>2</sup> at tripod SB and finally remained at 0.12 J/m<sup>2</sup> when the wave arrived at tripod SC, reducing nearly 98.39% of the incident wave energy. During the middle tide, the wave energy declined from 6.86 and 4.18 to 0.08 J/m<sup>2</sup> from SA to SC, reducing the incident wave energy by nearly 98.83%. During the neap tide, only tripod SA detected a faint energy of 0.48 J/m<sup>2</sup>. Both the significant wave height and energy experienced an obvious decline when the waves spread from offshore to the <italic>AC</italic> tidal flat.</p>
</sec>
<sec id="s3_4">
<title>3.4 Variation in the Wave Reduction Rate With Wave Propagation Distance</title>
<p>The wave height reduction rate along the <italic>AC</italic> transect was measured to evaluate the wave damping ability at these three tripods (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). The rate of the incident wave height reduction experienced a declining process with a longer propagation distance under different tidal conditions. Specifically, during spring tide, the rate varied from 1.8 &#xd7; 10<sup>&#x2212;3</sup> to 0.79 &#xd7; 10<sup>&#x2212;3</sup> from the areas of SA&#x2013;SB to SB&#x2013;SC. The variation ranges were 2.3 to 0.8 &#xd7; 10<sup>&#x2212;3</sup> in the middle tide from the SA&#x2013;SB region to the SB&#x2013;SC region. The rate was 3.0 &#xd7; 10<sup>&#x2212;3</sup>m<sup>&#x2212;3</sup>/m from region SA to SB during the neap tide. The wave height reduction rate was negatively related to the water level during the whole tidal period along the observation transect (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), indicating that deeper water may cause a weaker reduction rate. However, the region from SB to SC experienced an extremely low water level during the neap tide, and an emerged state of the <italic>AC</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>) was induced when no wave attenuation occurred.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Wave height reduction rate from spring to the neap tide. Blue bars are the rate along the transect from tripod SA to SB, and gray bars are the rate along the transect from tripod SB to SC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g007.tif"/>
</fig>
<p>Moreover, the trend of the wave height reduction rate showed a large difference during the different tidal periods. Sparse <italic>AC</italic> seedlings and a few saplings were observed in the SA&#x2013;SB region (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), and the reduction rate increased nearly 27.78% from spring to middle tide and 30.43% from middle to neap tide. In contrast, in the SB&#x2013;SC region, where dense adult trees of <italic>AC</italic> were vegetated (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), this rate increased by less than 5% during the entire tidal period. Obviously, the variation degree of the wave attenuation rate was impacted by the water level fluctuation, which caused the variational drag effect and indirectly dominated the intensity of the wave height reduction rate.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<sec id="s4_1">
<title>4.1 Impacts From <italic>AC</italic>
</title>
<p>Coastal vegetation obstructs wave propagation <italic>via</italic> the drag effect caused by dense root or canopy systems (<xref ref-type="bibr" rid="B5">Augustin et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B20">Hu et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B14">Foster-Martinez et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B12">Devi et&#xa0;al., 2021</xref>). Moreover, the spatial distribution of vegetation densities may also play a crucial role in wave attenuation (<xref ref-type="bibr" rid="B23">Massel et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B16">Hashim et&#xa0;al., 2013</xref>). (<xref ref-type="bibr" rid="B40">Vo-Luong and Massel, 2008</xref>) indicated that wave breaking occurring in a sparse forest induced an obvious attenuation effect instead of the wave&#x2013;trunk interactions that occur in a denser forest. Here, our results showed distinct differences in the wave attenuation process among the three tripods. During the entire tidal period, the wave height attenuated to an average of 2.37 &#xd7; 10<sup>&#x2212;3</sup> m in the area of SA&#x2013;SB and 0.82 &#xd7; 10<sup>&#x2212;3</sup> m in the area of SB&#x2013;SC per meter. The bed material from SA to SC was mainly composed of fine and very fine sand, indicating that the attenuation difference was caused by the plant drag effect rather than bottom friction.</p>
<p>However, the reduction rate from SB to SC was 50% less than the value from SA to SB during the entire tidal period. Furthermore, the rate from the SB to SC region rarely varied along with the SA to SB region, and the rate increased nearly 67% from the spring to neap tide (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), illustrating the difference in the volumetric cover of <italic>AC</italic> to induce the change in the drag effect and higher wave energy attenuation. Specifically, the seedling and sapling volumetric cover below 0.5 H was 16.53 and 60.33% at the SA station, respectively. At the SB station, this value was 5.25 and 63.42%, respectively. Although adult trees at the SC station had a larger canopy, their volumetric cover of the stem part (below 0.3 H) was only 31% (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A&#x2013;C</bold>
</xref>). At a low water level, dense vegetation structures occupied more space in the SA and SB regions at a low water level, which generated a larger drag effect compared to the relatively sparse parts in the SC region. Therefore, there is an obvious attenuation phenomenon at a low water level that occurs in the seedling and sapling areas rather than in the adult area. According to <xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9D, E</bold>
</xref>, when the water level was shallower than 1.5 m, the mean drag coefficient generated by mangroves in the SA&#x2013;SB region was 3.74, but the value in the SB&#x2013;SC region was 1.48, indicating that seedlings and saplings contributed to the attenuation process; however, only the stem part of an adult contributed to this process. Additionally, the SC station was at the high tidal flat (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>), with adult mangroves emerging at most times during the observation period, when the canopy part did not submerge due to the water level; this induced no drag effect, which explains why smaller mangroves had more power for attenuating wave energy than larger mangroves because the parts of the adult trees that are most effective at attenuation did not participate in this process (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4D</bold>
</xref>
<bold>,</bold> <xref ref-type="fig" rid="f8">
<bold>8E</bold>
</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Volumetric cover in three measurement plots <bold>(A&#x2013;C)</bold>, corresponding to the three hydrodynamic tripods. The relationship between the volumetric cover and relative elevation above the bed is described as follows: a) black and red dots and lines refer to the adults and saplings at the SA station; b) red dots and lines and blue dots refer to the saplings and seedlings at the SB station; and c) red dots and lines and blue dots refer to the saplings and seedlings at the SC station. The relationship between the water level and drag coefficient is shown for <bold>(D)</bold> tripods SA-SB and <bold>(E)</bold> tripods SB-SC. The gray shadow is the period of the high drag effect, and the yellow shadow is the period of the low drag effect.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g008.tif"/>
</fig>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Relationship between the water level and wave height reduction rate shown along the transect from tripod SA to SB <bold>(A&#x2013;C)</bold> and tripod SB to SC <bold>(D, E)</bold> during spring to neap tides. Black dots are the measured data, and red lines are the linear fitted relationship. Gray and yellow shadows in <bold>(A, D)</bold> represent the periods of high and low attenuation reduction rates, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g009.tif"/>
</fig>
</sec>
<sec id="s4_2">
<title>4.2 Coupled Impacts Between Water Level Fluctuations and the Inundation state of <italic>AC</italic>
</title>
<p>The drag effect difference generated by vegetation mostly depends on the inundation state (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). An abrupt change in the reduction rate occurred in the spring tide when the water rose up from the stem to the canopy (<xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A, D</bold>
</xref>
<bold>)</bold>. In other words, the attenuation effect was distinctly different when the <italic>AC</italic> was in a shifted inundation state with different water levels. Particularly, if a typhoon event happens at a low water level when saplings and seedlings have submerged but the canopy parts of adults are emerged, the former can attenuate waves effectively, since adults always locate at the high part of a tidal flat.</p>
<p>For the seedling-sapling region, seedling mangroves were approximately 55 cm (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B&#x2013;D</bold>
</xref>), which often flooded due to the mean water level of 117 cm at this location. Moreover, the <italic>Cd</italic> reduction rate decreased rapidly below the 150 cm water level, and then the decreasing rate slowed down when the water level was above 150 cm (k1 = &#x2212;1.30 &#xd7; 10<sup>&#x2212;3</sup> for L1 and k2 = &#x2212;6.79 &#xd7; 10<sup>&#x2212;4</sup> for L2 in <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8D</bold>
</xref>), inferring that seedlings have an effective wave attenuation ability below the 150 cm water depth. However, from SB to SC, with the height of standing adult <italic>AC</italic> greater than 150 cm, which is seldom flooded due to the average water level of approximately 73 cm in this area during the spring tide (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), only the branches were submerged, and the canopies could not be reached. Taken together, the change in the drag force followed the inundated volume variation in <italic>AC</italic> and controlled the wave attenuation rate.</p>
</sec>
<sec id="s4_3">
<title>4.3 Relationship Between the Wave Height Reduction Rate and <italic>Cd</italic>
</title>
<p>The wave height reduction rate was negatively correlated with the water fluctuations (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>) and water-level variations for different drag coefficients induced by mangroves with different inundation states (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8D, E</bold>
</xref>
<bold>)</bold>. Furthermore, the similar structure and distribution of mangrove forests produce similar drag effect values, in which water fluctuation works as a medium. Therefore, a similar vegetation distribution may generate a similar drag coefficient (<xref ref-type="bibr" rid="B20">Hu et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B14">Foster-Martinez et&#xa0;al., 2018</xref>), even though the water level fluctuates during one tidal cycle. Thereafter, a direct relationship between the wave height reduction rate and <italic>Cd</italic> can explicitly express the impacts of mangrove vegetation on wave height, while wave data from most field observations are extremely difficult to obtain because of the inaccessibility of dense mangroves.</p>
<p>As the seedling-sapling region had a more powerful ability to attenuate waves than the sapling-adult region (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), the wave height reduction rate and <italic>Cd</italic> along this area during the spring tide were selected. An exponential relationship between these two parameters was deduced, which was R = -0.0023 &#xd7; <italic>e</italic>
<sup>-0.64</sup>
<italic>
<sup>Cd</sup>
</italic> + 0.0025. While the water level rose and the seedlings were not entirely submerged, an obvious increase in the drag effect accelerated the wave attenuation process (blue box in <xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>). Although the drag effect increased weakly when the water level was higher than the height of a plant, the wave could still be disturbed and attenuated within a certain water level range, and the reduction rate rose slowly beyond the canopy height of plants. The mechanism for the wave attenuation effect of seedlings and saplings of the <italic>AC</italic> illustrated that water depths shallower than 0.7 m were the most effective range of damping wave energy (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>). Predictably, when a typhoon event happens during the spring tide, meeting the high fluvial discharge, such as in the case of Hepu County in 1986, the high tidal flat is submerged, and the canopy part of the <italic>AC</italic> plays a crucial role in this attenuation process.</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Descriptions of the drag coefficient. A fitting relationship is shown between the drag coefficient and wave height reduction rate. The fitting formula is shown in the figure. The relationship when the water level is shallower than 0.7 m is shown in the blue box.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-874818-g010.tif"/>
</fig>
<p>Furthermore, (<xref ref-type="bibr" rid="B23">Massel et&#xa0;al., 1999</xref>) inferred that the wave attenuation mechanism was the same both with and without a typhoon event, demonstrating that both mangroves and bottom friction played important roles in the attenuation process regardless of whether short waves propagated in cyclonic weather or long waves propagated in normal weather. Similarly, the exponential relationship between <italic>Cd</italic> and the reduction rate for seedlings and saplings can also be adopted during the typhoon period. Since the location of SC is in the upper mudflat, no quantitative relationship for adult <italic>AC</italic> between <italic>Cd</italic> and the water level can be constructed. However, according to the dense canopy of an adult tree (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8C</bold>
</xref>), it can be speculated that the canopy part of an adult mangrove is of great significance in the wave attenuation process during an extreme event. Therefore, the &#x201c;green-embankment&#x201d; definition has been proposed (<xref ref-type="bibr" rid="B35">Temmerman et&#xa0;al., 2013</xref>) recently to defend against extreme events, replacing &#x201c;hard engineering.&#x201d; Our in-field observational data elucidated that the <italic>AC</italic> at different ages has distinct volumetric cover from the bottom to the canopy part, which can attenuate wave heights in stages <italic>via</italic> water-level variations. During normal or slight typhoon weather conditions, the number of seedlings can effectively attenuate the wave energy with lower economic costs and higher plant survival rates. When the weather conditions become more severe with greater wave energy, adult mangroves can participate in this attenuation process. Obviously, the distribution of mangroves for constructing a &#x201c;green embankment&#x201d; should consider the age of mangroves to cope with different attenuation effects with changing water levels from offshore to inshore to obtain a longer defense period with lower economic costs.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Conclusions</title>
<p>Mangrove forests have received worldwide attention because they provide significant habitats for organisms and play a crucial role in dissipating hydrodynamic energy. Therefore, in this study, the wave attenuation process over an <italic>AC</italic> tidal flat of Qixing Island in the Nanliu Delta in China was analyzed to highlight the importance of mangroves with different ages for wave damping. We found that between the spring and neap tides, the wave height decreased by 58.33% in the seedling-sapling region and 80% in the sapling-adult region. The lowest water level in the neap tide leads to the largest wave height reduction rate over half a lunar cycle. Meanwhile, the wave attenuation ability of the seedlings had a larger drag impact on the incident wave than the half-submerged grown trees due to larger drag forces, indicating that the seedlings had a remarkable attenuation ability. Furthermore, we proposed a relationship of R = -0.0023 &#xd7; <italic>e</italic>
<sup>-0.64</sup>
<italic>
<sup>Cd</sup>
</italic> + 0.0025 between the wave attenuation rate and the drag coefficient, which demonstrates that wave attenuation is induced by vegetation obstruction.</p>
<p>Given that coastal urbanization, economic activities, and climate change have induced the dramatic deforestation of mangroves, leading to the potential failure of &#x201c;hard-engineering,&#x201d; our work provides new insight into the ecological embankment construction by an optimized combination of mangroves of different ages.</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>XZ analyzed the data and wrote the original paper. ZD conceived the idea for the study and participated in its writing. WP analyzed part of the data. JW and CL participated in the discussion. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the National Natural Science Key Foundation of China (NSFC) (41930537), the Key Projects of Science and Technology of Guangxi Province (AB21076016), the ECNU Academic Innovation Promotion Program for Excellent Doctoral Students (YBNLTS2021-031), and the Fundamental Research Funds for the Central Universities.</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>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The author thank Bingbin Feng, Riming Wang, Binbin Ma and Gaojian Hu for their help in the field observations. The authors also acknowledge the editor and the two anonymous reviewers for their valuable comments on this study.</p>
</ack>
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