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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1388854</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2024.1388854</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Decadal evolution of fluvial islands and its controlling factors along the lower Yangtze River</article-title>
<alt-title alt-title-type="left-running-head">Wu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fenvs.2024.1388854">10.3389/fenvs.2024.1388854</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Jingtao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2661859/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Manman</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Huan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shaukat</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2094310/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Best</surname>
<given-names>James L.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gao</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Geography and Planning</institution>, <institution>Huaiyin Normal University</institution>, <addr-line>Huaian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Marine Science and Engineering</institution>, <institution>Nanjing Normal University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Agricultural Sciences</institution>, <institution>Allama Iqbal Open University</institution>, <addr-line>Islamabad</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Departments of Geology, Geography and GIS</institution>, <institution>Mechanical Science and Engineering and Ven Te Chow Hydrosystems Laboratory</institution>, <institution>University of Illinois at Urbana-Champaign</institution>, <addr-line>Urbana</addr-line>, <addr-line>IL</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>School of Environmental Science and Engineering</institution>, <institution>Yancheng Institute of Technology</institution>, <addr-line>Yancheng</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>School of Geography and Ocean Science</institution>, <institution>Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1752453/overview">Xiao Ouyang</ext-link>, Hunan University of Finance and Economics, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2091339/overview">Kaijian Xu</ext-link>, Hefei University of Technology, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2667598/overview">Cathy Wang</ext-link>, Xi&#x2019;an Jiaotong University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Chao Gao, <email>chgao@nju.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1388854</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Wu, Fan, Zhang, Shaukat, Best, Li and Gao.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Wu, Fan, Zhang, Shaukat, Best, Li and Gao</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>Fluvial islands are vital from both morphological and ecological perspectives and consequently have been hotspots of morphodynamic research in large rivers around the world. This study selected 14 representative fluvial islands in the lower reaches of the Yangtze River and explored their spatial-temporal evolution, including their shape and area dynamics during 1945&#x2013;2016, by interpreting remote sensing images and analyzing the hydrological data. Results indicated that the total area of the 14 fluvial islands showed a growing trend at an average rate of 0.30&#xa0;km<sup>2</sup> yr<sup>&#x2212;1</sup> during the 72&#xa0;years. The island Fenghuangzhou experienced the largest change in area, while Xiaohuangzhou (XHZ) had the smallest change in area. Sediment discharge and flooding were assumed to be the primary natural factors controlling the island dynamics. Furthermore, dam construction and bank reinforcement also played a critical role in preventing shoreline collapse, improving channel conditions, and promoting the stability of fluvial islands. From 1976 to 2016, the maximum erosion occurred on the left XHZ, while the maximum accretion was found on the Qingjiezhou island. Almost the entire river section experienced an accretion process on the right bank, which was assumed to be caused by the construction of erosion control structures. Besides, the dynamics of the fluvial islands along the lower Yangtze River appears to follow the erosion processes of the river bank. Our findings can provide an important reference for sustainable utilization and management of fluvial islands.</p>
</abstract>
<kwd-group>
<kwd>fluvial island</kwd>
<kwd>decadal evolution</kwd>
<kwd>controlling factors</kwd>
<kwd>remote sensing</kwd>
<kwd>Yangtze River</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Environmental Informatics and Remote Sensing</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Fluvial islands are formed and shaped by both sediment deposition and erosion (<xref ref-type="bibr" rid="B4">Baubinien&#xe9; et al., 2015</xref>). Although fluvial islands are generally unstable and transient over various periods, they provide significant ecological functions such as maintaining well-defined banks and persisting long enough to allow the establishment of persistent vegetation (<xref ref-type="bibr" rid="B42">Osterkamp, 1998</xref>; <xref ref-type="bibr" rid="B21">Gurnell and Petts, 2002</xref>; <xref ref-type="bibr" rid="B58">Wyrick and Klingeman, 2011</xref>; <xref ref-type="bibr" rid="B7">Carling et al., 2014</xref>). Thus, fluvial islands are generally considered as indicators of both hydrological and biotic capacities, as well as health, of fluvial systems (<xref ref-type="bibr" rid="B25">Knighton and Nanson, 1993</xref>; <xref ref-type="bibr" rid="B23">Hooke and Yorke, 2011</xref>; <xref ref-type="bibr" rid="B43">Picco et al., 2014</xref>; <xref ref-type="bibr" rid="B52">Sun et al., 2018</xref>). Therefore, improving the understanding of the evolution of fluvial islands and their controls is a prerequisite to identifying strategies for sustainable utilization and management of fluvial islands, which is crucial for ensuring the long-term ecological health and resilience of fluvial islands.</p>
<p>Numerous researchers have studied the formation and sedimentary processes associated with transient fluvial islands (<xref ref-type="bibr" rid="B62">Zanoni et al., 2008</xref>; <xref ref-type="bibr" rid="B54">Wang and Xu, 2018</xref>; <xref ref-type="bibr" rid="B65">Zheng et al., 2019</xref>; <xref ref-type="bibr" rid="B27">Leli et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Lou et al., 2022</xref>; <xref ref-type="bibr" rid="B14">do Amaral et al., 2023</xref>). Previous studies have examined various processes of fluvial islands, such as their migration and erosion, and found that these processes have an impact on banks, island bodies, and river channels (<xref ref-type="bibr" rid="B44">Promma et al., 2007</xref>; <xref ref-type="bibr" rid="B56">Wintenberger et al., 2015</xref>; <xref ref-type="bibr" rid="B51">Sudra et al., 2023</xref>). For example, <xref ref-type="bibr" rid="B62">Zanoni et al. (2008)</xref> examined the long-term evolution of island in a braided river and analyzed the effects of river flow regime and sediment delivery. <xref ref-type="bibr" rid="B4">Baubinien&#xe9; et al. (2015)</xref> evaluated the changes of island number, area and location under the conditions of climate induced changes of river flow. <xref ref-type="bibr" rid="B22">Hoagland et al. (2024)</xref> modeled island evolution using the Lorenzo-Trueba and Mariotti model, which can simulate long-term changes in island system. Also, there are some studies that have been carried out on the channel evolution and maintenance and groundwater and surface water interactions of fluvial islands (<xref ref-type="bibr" rid="B40">Nelson and Sommers, 1983</xref>; <xref ref-type="bibr" rid="B37">McCabe et al., 2009</xref>; <xref ref-type="bibr" rid="B47">Roquero et al., 2015</xref>). The rationale for focusing on fluvial islands is that these islands are essential components of the riparian corridor, which strongly influences the geomorphic adjustment of rivers and floodplains (<xref ref-type="bibr" rid="B50">Singer and Aalto, 2009</xref>; <xref ref-type="bibr" rid="B41">Ollero et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Bandyopadhyay et al., 2023</xref>). However, limited attention has been paid to the evolution of fluvial islands whose shape and size change appreciably with different fluvial processes, especially over decadal timescales.</p>
<p>The evolution of fluvial islands is affected by multiple natural factors of island development (<xref ref-type="bibr" rid="B42">Osterkamp, 1998</xref>; <xref ref-type="bibr" rid="B18">Gautier and Grivel, 2006</xref>) and anthropogenic factors such as engineering projects (<xref ref-type="bibr" rid="B15">Gao B. et al., 2013</xref>; <xref ref-type="bibr" rid="B46">Ra&#x161;ka et al., 2017</xref>; <xref ref-type="bibr" rid="B6">Best, 2019</xref>). For example, <xref ref-type="bibr" rid="B19">Grove et al. (2013)</xref> found that floods exerted important influences on the morphological evolution of the fluvial system. <xref ref-type="bibr" rid="B24">Hudson et al. (2019)</xref> reported that sedimentary deposition directly prompted the formation of fluvial islands. <xref ref-type="bibr" rid="B48">Shi et al. (2018)</xref> showed that the key natural factor that influences island formation in the lower Yangtze River was sediment discharge. In addition, <xref ref-type="bibr" rid="B17">Gao C. et al. (2013)</xref> stated that there were no significant relationships between changes in the island area and natural factors, such as annual runoff and precipitation, and speculated that the construction of many large reservoirs could be the primary factor of change. The knowledge about the island dynamics and their driving factors allows the prediction of further fluvial process and the potential influence on the river regime. The present study is an attempt to contribute to the knowledge about fluvial islands based on a case study of the lower reaches in the Yangtze River.</p>
<p>This study reports on the island evolution in the Yangtze River, which is the third longest river in the world and the longest river in Asia, with its lower reaches being the most prosperous and populous area in China (<xref ref-type="bibr" rid="B57">Wu et al., 2020</xref>). Some fluvial islands are well-developed in the Anhui section of the lower Yangtze River and are vital for the stability of the Yangtze River. However, the sizes and shapes of these islands have changed rapidly due to rapid economic development since the launch of China&#x2019;s reform and opening-up policies (Bai and Li, 2009; <xref ref-type="bibr" rid="B52">Sun et al., 2018</xref>). In particular, the construction of Three Gorges Dam (TGD), which is currently the largest hydroelectric complex in the world (<xref ref-type="bibr" rid="B34">Lou et al., 2018</xref>), affects the hydrological regime and dozens of fluvial islands in the lower reaches of the Yangtze River (<xref ref-type="bibr" rid="B29">Li et al., 2011</xref>; <xref ref-type="bibr" rid="B59">Xu et al., 2013</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2022</xref>). Therefore, the present study selected 14 fluvial islands in the lower reach of the Yangtze River due to their substantial size, well-defined shapes, and relatively stable morphological changes. This study investigated the evolution of fluvial islands and aimed to: 1) quantitatively document the morphological evolution of fluvial islands and 2) explore the possible driving factors that affect the evolution of fluvial islands.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Study area</title>
<p>The Anhui section of the Yangtze River (<xref ref-type="fig" rid="F1">Figure 1</xref>) lies in the south-central region of Anhui Province, China (29&#xb0;34&#xb0;&#x2013;31&#xb0;53N and 115&#xb0;52&#xb0;&#x2013;118&#xb0;50E), which is within the transition zone between a temperate and subtropical monsoon climate. The study area is 416&#xa0;km long along the lower Yangtze River, in which fluvial islands were identified. The study period covers four&#xa0;decades and is subdivided into five time periods: 1976, 1986, 1996, 2006, and 2016. During the past 40&#xa0;years, great changes have taken place in the lower Yangtze River, as it has adjusted to a variety of human impacts, especially the reduction of sediment discharge and channel engineering caused by dams, revetments, and meander bend cutoffs (<xref ref-type="bibr" rid="B63">Zhang et al., 2008</xref>; <xref ref-type="bibr" rid="B36">Luo et al., 2012</xref>; <xref ref-type="bibr" rid="B31">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2014</xref>; <xref ref-type="bibr" rid="B60">Yang et al., 2018</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The Location of the study area and map of the fluvial islands in the study area, as derived from Landsat7/ETM&#x2b;, acquired in December 2016.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g001.tif"/>
</fig>
<p>The shape of islands has been divided previously into several categories: straight, micro-bend, and goose head branches (<xref ref-type="bibr" rid="B11">Chinese Academy of Sciences, 1985</xref>). The general characteristics and names of the 14 islands in the Anhui region (<xref ref-type="fig" rid="F1">Figure 1</xref>) selected for the study are summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of the typical fluvial islands in the Anhui section of the lower Yangtze River.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Island name</th>
<th align="center">Area (km<sup>2</sup>)</th>
<th align="center">Approx. date of initial formation (year/AD)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Yudaizhou (YDZ)</td>
<td align="center">12.5</td>
<td align="center">&#x2013;</td>
</tr>
<tr>
<td align="center">Qingjiezhou (QJZ)</td>
<td align="center">16</td>
<td align="center">1851&#x2013;1874</td>
</tr>
<tr>
<td align="center">Emaozhou (EMZ)</td>
<td align="center">2.8</td>
<td align="center">&#x2013;</td>
</tr>
<tr>
<td align="center">Xinzhou (XZ)</td>
<td align="center">40</td>
<td align="center">618&#x2013;907</td>
</tr>
<tr>
<td align="center">Tietongzhou (TTZ)</td>
<td align="center">18.5</td>
<td align="center">&#x223c;1400</td>
</tr>
<tr>
<td align="center">Fenghuangzhou (FHZ)</td>
<td align="center">28</td>
<td align="center">960&#x2013;1279</td>
</tr>
<tr>
<td align="center">Changshengzhou (CSZ)</td>
<td align="center">16</td>
<td align="center">&#x223c;1600</td>
</tr>
<tr>
<td align="center">Laozhou (LZ)</td>
<td align="center">26.5</td>
<td align="center">1876&#x2013;1911</td>
</tr>
<tr>
<td align="center">Zhangjiazhou (ZJZ)</td>
<td align="center">70</td>
<td align="center">1600&#x2013;1690</td>
</tr>
<tr>
<td align="center">Tiemaozhou (TMZ)</td>
<td align="center">18.8</td>
<td align="center">&#x223c;1966</td>
</tr>
<tr>
<td align="center">Wuzhou (WZ)</td>
<td align="center">17.3</td>
<td align="center">&#x2013;</td>
</tr>
<tr>
<td align="center">Heishazhou (HSZ)</td>
<td align="center">20</td>
<td align="center">960&#x2013;1279</td>
</tr>
<tr>
<td align="center">Taibaizhou (TBZ)</td>
<td align="center">59.5</td>
<td align="center">&#x223c;1368</td>
</tr>
<tr>
<td align="center">Xiaohuangzhou (XHZ)</td>
<td align="center">9.5</td>
<td align="center">&#x223c;1890</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note: &#x201c;&#x2013;&#x201d; represents no data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Data acquisition</title>
<sec id="s2-2-1">
<title>2.2.1 Aerial photographs and Landsat data</title>
<p>Multi-decadal Landsat data and scanned copies of aerial photographs were used to investigate the spatial-temporal evolution of these 14 fluvial islands. Aerial photographs taken in 1945 at a scale of 1:250,000, were obtained from the U.S. Army Map Service, Series L500 (<ext-link ext-link-type="uri" xlink:href="https://www.utexas.edu/">https://www.utexas.edu/</ext-link>). Landsat MSS (Multispectral Scanner), Landsat TM (Thematic Mapper), and ETM&#x2b; (Enhanced Thematic Mapper) data from December 1976, 1986, 1996, 2006, and 2016, were acquired at 10-year intervals (<xref ref-type="table" rid="T2">Table 2</xref>), with cloud-free images being selected to enhance the clarity and richness of the image information. Furthermore, to minimize the effect of the water stage on interpreting the change in the size and shape of the fluvial islands, all Landsat images used were captured during the dry season of November and December when the discharge was considered constant within the channel in the study area. The Landsat dataset was acquired from the Geospatial Data Cloud (<ext-link ext-link-type="uri" xlink:href="http://www.gscloud.cn/">http://www.gscloud.cn</ext-link>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Information about the Landsat images in the study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Satellite/Sensor</th>
<th align="center">Center latitude (&#xb0;)</th>
<th align="center">Center longitude (&#xb0;)</th>
<th align="center">Date</th>
<th align="center">Resolution (m)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Landsat2/MSS</td>
<td align="center">31.73</td>
<td align="center">117.32</td>
<td align="center">1976/12/17</td>
<td align="center">80</td>
</tr>
<tr>
<td align="center">Landsat2/MSS</td>
<td align="center">30.25</td>
<td align="center">118.33</td>
<td align="center">1976/11/28</td>
<td align="center">80</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">30.3</td>
<td align="center">116.89</td>
<td align="center">1986/12/25</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">31.72</td>
<td align="center">117.33</td>
<td align="center">1986/12/25</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">31.75</td>
<td align="center">118.83</td>
<td align="center">1986/12/18</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">30.31</td>
<td align="center">116.85</td>
<td align="center">1996/12/25</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">31.73</td>
<td align="center">117.37</td>
<td align="center">1996/12/25</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat5/TM</td>
<td align="center">31.73</td>
<td align="center">118.92</td>
<td align="center">1996/12/18</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/TM</td>
<td align="center">30.31</td>
<td align="center">116.83</td>
<td align="center">2006/12/21</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/TM</td>
<td align="center">31.76</td>
<td align="center">117.21</td>
<td align="center">2006/12/21</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/TM</td>
<td align="center">31.77</td>
<td align="center">118.75</td>
<td align="center">2006/12/30</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/ETM&#x2b;</td>
<td align="center">30.3</td>
<td align="center">116.89</td>
<td align="center">2016/12/24</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/ETM&#x2b;</td>
<td align="center">31.74</td>
<td align="center">117.28</td>
<td align="center">2016/12/24</td>
<td align="center">30</td>
</tr>
<tr>
<td align="center">Landsat7/ETM&#x2b;</td>
<td align="center">31.74</td>
<td align="center">118.82</td>
<td align="center">2016/12/17</td>
<td align="center">30</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2-2">
<title>2.2.2 Hydrological data</title>
<p>The annual runoff and sediment discharge data from 1950 to 2016 for the Datong hydrological station were obtained from the Changjiang Water Resources Committee (CWRC) (<ext-link ext-link-type="uri" xlink:href="http://www.cjw.gov.cn/">http://www.cjw.gov.cn/</ext-link>). Statistics indicate that from 1950 to 2016, the average annual runoff was 8,960 &#xd7; 10<sup>8</sup>&#xa0;m<sup>3</sup>, and from 1950 to 2016, the average annual sediment discharge, average annual sediment concentration, and average sediment delivery were 3.63 &#xd7; 10<sup>8</sup>&#xa0;t, 0.414&#xa0;kg&#xa0;m<sup>-3</sup>, and 216&#xa0;t&#xa0;km<sup>-2</sup>, respectively. The maximum runoff of 13,590 &#xd7; 10<sup>8</sup>&#xa0;m<sup>3</sup> and minimum runoff of 6,671 &#xd7; 10<sup>8</sup>&#xa0;m<sup>3</sup> were recorded in 1954 and 2011, respectively. The highest sediment discharge was recorded at 6.78 &#xd7; 10<sup>8</sup>&#xa0;t in 1964, while the lowest sediment discharge was measured at 0.72 &#xd7; 10<sup>8</sup>&#xa0;t in 2011. In this study, the runoff and sediment discharge data at Datong Station from 1950 to 2016 were used to analyze the evolution of the islands and evaluate the uncertainties associated with changes in the area of the fluvial islands, as inferred from the interpretation of the remote sensing data.</p>
</sec>
</sec>
<sec id="s2-3">
<title>2.3 Methods</title>
<sec id="s2-3-1">
<title>2.3.1 Pre-processing of aerial and image photographs</title>
<p>Multiperiod Landsat data and scanned copies of aerial photographs were used to perform a spatial-temporal analysis of the fluvial islands over approximately a 72-year time series. Only permanent islands were selected in the study area (<xref ref-type="fig" rid="F1">Figure 1</xref>). The aerial photographs were mosaiced and vectorized, and the bank lines were digitalized in ArcGIS 10.2 (ESRI Inc., United States).</p>
<p>To assess the variations in the land area of the fluvial island, a geometric correction process was applied to each satellite image. This involved transforming the images from the Universal Transverse Mercator (UTM) projection to the Albers Equal Area Conic projection, ensuring a uniform and accurate representation of the island&#x2019;s topography for comparative analysis. To correct the resolution discrepancies between TM and MSS images, we employed a combination of band synthesis, region of interest (ROI) subsets, and resampling tools in ArcGIS 10.2. Using the near-infrared bands available in both TM and ETM&#x2b;, we can effectively differentiate between water bodies and vegetation cover. Additionally, to ensure accuracy, we refine the image correction process by selecting the ground control point (GCP) using ENVI 5.1 (ITT Visual Information Solutions Inc., United States).</p>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Methodology for extracting the change of fluvial islands</title>
<p>Using a suite of remote sensing image processing techniques, the morphology and area of the selected fluvial islands were delineated for the period from 1945 to 2016. To elucidate the trends in area change, the following equation was applied to compute anomalies for both individual island areas and the aggregate total area (see Eq. <xref ref-type="disp-formula" rid="e1">(1)</xref>).<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mover accent="true">
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>where the term <italic>j</italic> refers to a specific fluvial island, <italic>i</italic> denotes a particular year, <inline-formula id="inf1">
<mml:math id="m2">
<mml:mrow>
<mml:mo>&#x2206;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> represents the area change of a specific fluvial island <italic>j</italic> in the year <italic>i</italic>, <inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mi>j</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is the area of a specific fluvial island <italic>j</italic> in the year <italic>i</italic>, and <inline-formula id="inf3">
<mml:math id="m4">
<mml:mrow>
<mml:mover accent="true">
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>j</mml:mi>
</mml:msub>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> is the mean area of the fluvial island <italic>j</italic> over 72&#xa0;years.</p>
<p>Historical aerial photographs and remote sensing imagery from the years 1945, 1976, 1986, 1996, and 2016 were utilized to delineate the boundaries of the fluvial islands in the lower Yangtze River. All images were scanned at a resolution of 600 dpi and geo-rectified using ArcGIS 10.2. During the image rectification process, each photograph was resampled at a resolution of 0.5&#xa0;m to ensure consistency across all images. Rectification resulted in a root mean square error of &#x3c;5&#xa0;m for all images.</p>
<p>Individual image frames and mapping tables were mosaicked in ENVI to obtain georeferenced images that cover the entire study area. The image stitching process is influenced by two sources of errors: distortion errors between adjacent frames and inherent errors of the orthoimages. When GCPs are combined in areas that overlap between adjacent frames, distortion caused by topographical variations is minimized, thereby reducing these errors to a minimum.</p>
</sec>
<sec id="s2-3-3">
<title>2.3.3 Quantitative analysis of bank erosion and deposition</title>
<p>The shoreline of the Yangtze River in Anhui Province, which stretches a straight-line distance of 250&#xa0;km, was systematically divided into segments with equal intervals of 1&#xa0;km. Cross sections were defined as perpendicular to the trend surface along the river segment. For this length, a 1&#xa0;km interval is considered sufficient to characterize the morphological changes of the river channel within the study area. The displacement of both banks for each segment was determined using the methodology proposed by <xref ref-type="bibr" rid="B26">Kummu et al. (2008)</xref>. Using GIS overlay analysis, the banklines of two periods were compared to quantify the displacement of each segment. Subsequently, the intersection points of the terminal lines of each end-member with the riverbank lines were calculated and their coordinates were compared to determine the variations in the riverbank line locations.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Spatial-temporal variations of fluvial islands</title>
<sec id="s3-1-1">
<title>3.1.1 Changes in the shape of fluvial islands</title>
<p>Remote sensing imagery and aerial photographs were used to extract the morphological characteristics of typical fluvial islands from different periods (<xref ref-type="fig" rid="F2">Figure 2</xref>). As illustrated in <xref ref-type="fig" rid="F2">Figure 2</xref>, the overall morphology of the fluvial islands appears relatively stable in the past 72&#xa0;years. However, due to fluvial erosion and sediment deposition, some islands exhibit significant local changes. Specifically, HSZ and WZ have undergone erosion, while TMZ, FHZ, and YDZ have experienced significant sediment deposition. In the northern HSZ island, a diminutive island emerged around 1945. This island underwent a modest decrease in its expanse by approximately 1996 and ultimately integrated with the principal island by the year 2006. Concurrently, since 1966, a new island has been gradually accumulating at the northern edge of ZJZ, maturing into the more stable TMZ. Furthermore, WZ Island has been observed to exhibit convergence with the riverbank, while LZ and ZJZ have become morphologically stable.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Area changes of the 14 fluvial islands in 1945, 1976, 1996, and 2016. The changes of islands HSZ, TBZ and XHZ were shown in <bold>(A)</bold>, TTZ, FHZ, CSZ, LZ, ZJZ, TMZ, and WZ in <bold>(B)</bold> and YDZ, QJZ, XZ, and EMZ in <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g002.tif"/>
</fig>
</sec>
<sec id="s3-1-2">
<title>3.1.2 Changes in the area of fluvial islands</title>
<p>The total area of the 14 selected fluvial islands experienced an expansion, growing from 373.3&#xa0;km<sup>2</sup> in 1945 to 394.9&#xa0;km<sup>2</sup> in 2016 (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Prior to 1986, the aggregate area of the islands witnessed a steady rise, with an average annual expansion of 0.32&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>. In contrast, the period between 1986 and 1996 saw a swift decline in the total area, with an erosion rate of 1.5&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>. Subsequently, post-1996, the total area resumed an upward trend at an average annual rate of 0.73&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Changes in total area of the fluvial islands (km<sup>2</sup>) <bold>(A)</bold>, and change in area of the individual island during 1945&#x2013;2016 <bold>(B, C)</bold>.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g003.tif"/>
</fig>
<p>During the last 72&#xa0;years, the average areas of individual islands can be ranked as follows: ZJZ &#x3e; TBZ &#x3e; HSZ &#x3e; LZ &#x3e; XZ &#x3e; FHZ &#x3e; WZ &#x3e; CSZ &#x3e; TTZ &#x3e; TMZ &#x3e; QJZ &#x3e; XHZ &#x3e; YDZ &#x3e; EMZ (<xref ref-type="fig" rid="F3">Figures 3B, C</xref>) with the areas of the 14 islands varying significantly before the 2000s and then remaining relatively stable after that. Specifically, the island ZJZ is the main island of Tongling City and the largest of the 14 islands, with an average area of 69.1&#xa0;km<sup>2</sup> and erosion that occurred during 1945&#x2013;2016 (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The EMZ has the smallest area, with an average annual area of 3.5&#xa0;km<sup>2</sup> (<xref ref-type="fig" rid="F3">Figure 3C</xref>). TBZ and XHZ were also observed to show similar tendencies, with an increase from 1945 (42.6&#xa0;km<sup>2</sup> and 8.8&#xa0;km<sup>2</sup>, respectively) to 1986 (61.9&#xa0;km<sup>2</sup> and 10.9&#xa0;km<sup>2</sup>, respectively) and then a substantial decrease from 1986 to 2006, followed by a slight growth of 0.2&#xa0;km<sup>2</sup> and 0.51&#xa0;km<sup>2</sup> from 2006 to 2016.</p>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Trends in the evolution of fluvial islands</title>
<p>In order to explore the dynamics of the fluvial islands, the trends in the total area of the islands and the area of individual island were calculated. The data presented in <xref ref-type="fig" rid="F4">Figure 4</xref> indicate that the total area of the fluvial islands increased more rapidly between 1945 and 1986 and then slowed from 1986 to 2016. The total area of the fluvial islands demonstrated a general trend of expansion, with an annual average area of 386.3&#xa0;km<sup>2</sup> during the 72-year period, and with a steady average annual growth of 0.3&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Trend in total area changes of the fluvial islands in the Anhui section of the Yangtze River from 1945 to 2016.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g004.tif"/>
</fig>
<p>The annual average area change during the 72-year period was shown in <xref ref-type="fig" rid="F5">Figures 5A, B</xref>. Most fluvial islands increased in area during 1945&#x2013;2016, except for EMZ, HSZ, WZ, and ZJZ. The rate of increase in the island area varied significantly during the different periods. The FHZ, TMZ, and QJZ islands kept increasing in area from 1945 to 2016, with average growth rates of 0.29&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>, 0.26&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>, and 0.13&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>, respectively. The island FHZ stand out as the fastest-growing, whereas ZJZ faced the most significant area reduction with an annual loss of 0.20&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>. The area of XZ island initially expanded from 1945 to 1996, and then declined from 1996 to 2016. The island XHZ had the slightest area change with a minuscule decrease at a rate of 0.007&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>. The island with a change in area change tending toward zero suggested a trend toward stability. The areas of islands WZ and ZJZ demonstrated a descending trend, which decreased faster from 1945 to 1996, but then increased at a relatively slower speed from 1996 to 2016.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Annual area changes for islands LZ, ZJZ, TMZ, WZ, HSZ, TBZ and XHZ <bold>(A)</bold> and annual area changes for islands YDZ, QJZ, XZ, EMZ, TTZ, FHZ and CSZ <bold>(B)</bold>.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g005.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Spatial pattern of bank erosion and deposition</title>
<p>Both the left and right banks of the lower Yangtze River experienced erosion and deposition during 1976&#x2013;2016 (<xref ref-type="fig" rid="F6">Figure 6</xref>). Specifically, the left bank of the lower Yangtze River has exhibited more accretion rather than erosion during the last 40&#xa0;years. During this period, the maximum accretion occurred on the island QJZ and maximum erosion on the left bank of island XHZ. On the right bank, almost the full reach exhibited accretion.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Spatial patterns of bank erosion and deposition along the lower Yangtze River between 1976 and 2016.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g006.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F7">Figure 7</xref> demonstrates a considerable movement of the bank lines resulting from accretion, indicating the movement of the banks in the river and the erosion, which depicts the movement of the banks in the land during 1976&#x2013;2016. The bank line of 1976 is taken as reference, and the bank movement distances were calculated from the difference between the bank line of 1976 and the bank line of 2016 in ArcGIS. From the bank movement analysis during 1976&#x2013;2016, the estimated maximum movement distances of erosion and deposition were approximately 3,500&#xa0;m and 1,000&#xa0;m, respectively, on the left bank, while the corresponding distances for the right bank were approximately 2,000&#xa0;m and 800&#xa0;m, respectively. Furthermore, the fluvial islands with an area larger than 20&#xa0;km<sup>2</sup>, such as the islands ZJZ, HSZ and LZ (<xref ref-type="fig" rid="F7">Figure 7</xref>), were generally stable, and the island change rates were close to 0 over time. However, the islands with an area of less than 20&#xa0;km<sup>2</sup>, such as the islands YDZ and QJZ, were unstable during 1976&#x2013;2016, with an area change rate of more than 0.15&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Bank movement along the lower Yangtze River for both the left and the right banks, and the island change rate between 1976 and 2016.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 Decadal evolution of fluvial islands</title>
<p>By comparing Landsat MSS, TM, and ETM &#x2b; images from 1945 to 2016, changes in the shapes of islands in the lower Yangtze River were clearly visible. The spatial pattern of the morphologic changes varied between the different islands due to differences in their erosion and deposition processes. Overall, the total areas of these fluvial islands increased from 1945 to 2016. Smaller islands, such as XHZ and YDZ, have undergone notable morphological transformations, characterized by erosion at the island&#x2019;s head and accretion at the tail, leading to a downstream extension of the island body. This conforms with the fact that the island head is typically subjected to erosion due to the impact of larger water flows, followed by a decrease in hydrodynamics as the water divides, resulting in sediment accumulation at the island&#x2019;s tail (<xref ref-type="bibr" rid="B23">Hooke and Yorke, 2011</xref>). Mapping from the four images also indicated that the positions of the fluvial islands had shifted slightly during that development, with a general pattern of erosion on the left margin and sedimentation on the right. Previous studies have speculated that the changes on the left margin of fluvial islands are due to waves generated by vessels that navigate the left channel, which intensify erosion. On the contrary, the right margin has shown a more stable development with a higher degree of soil maturation (<xref ref-type="bibr" rid="B66">Zheng et al., 2018</xref>).</p>
<p>The larger fluvial islands, such as ZJZ and TBZ, which covered the largest area among all the fluvial islands, showed slight changes in their shapes during the past 72&#xa0;years. The island ZJZ, located near the central area of Tongling City, stretches approximately 11.8&#xa0;km in length and reaches a maximum width of 2.7&#xa0;km (<xref ref-type="fig" rid="F1">Figure 1</xref>). In this section of the Yangtze River, a relatively straight braided channel has formed, with the left channel serving as the main channel, contributing up to 95% of the water and 96% of the sediment to the main channel. The flow velocities along the course of TBZ and ZJZ are nearly identical, averaging about 46,000&#xa0;m<sup>3</sup>&#xa0;s<sup>-1</sup> (<xref ref-type="bibr" rid="B16">Gao, 2012</xref>). The island TBZ, located to the south of Maanshan City in the middle part of the lower Yangtze River, runs southwest to northeast. The island TBZ has a length of 17.6&#xa0;km and a maximum width of 5.6&#xa0;km (<xref ref-type="fig" rid="F1">Figure 1</xref>), which was formed by sediment erosion and deposition with its current contour having taken form during the Song Dynasty (<xref ref-type="bibr" rid="B49">Shi et al., 2017</xref>). The Yangtze River exhibits a straight two-channel anabranching form. Since 1860, the river has been bifurcated by TBZ into a left and right channel, with the left channel being the main one. This channel contributes a significant proportion of the water and sediment to the main channel, with the water and sediment contributions reaching up to 89% and 92%, respectively (<xref ref-type="bibr" rid="B32">Liu et al., 2016</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Factors controlling the dynamics of fluvial islands</title>
<sec id="s4-2-1">
<title>4.2.1 Natural factors</title>
<p>As presented in <xref ref-type="fig" rid="F8">Figure 8</xref>, the annual runoff at Datong Station did not show an obvious trend, except that the annual runoff for the years 1954 and 1998 was much higher than that in other years. However, the annual sediment discharge experienced a notable decline post-1986 (<xref ref-type="fig" rid="F8">Figure 8</xref>), which had a significant impact on the sedimentary input and the total area of fluvial islands (<xref ref-type="fig" rid="F3">Figure 3A</xref>), thereby affecting the formation and stability of the fluvial islands. This trend suggests that there was an insufficient sediment supply to support the expansion of the islands. Previous studies have found that natural factors such as runoff and sediment discharge play an important role in the evolution of fluvial islands or deltas in large rivers (<xref ref-type="bibr" rid="B2">Baki and Gan, 2012</xref>; <xref ref-type="bibr" rid="B53">Ve et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Quang et al., 2023</xref>). The annual migration rate of high sediment concentration rivers is higher than that of low sediment concentration rivers, due to the rapid growth and migration of the bars that force bank erosion (<xref ref-type="bibr" rid="B12">Constantine et al., 2014</xref>). The average annual sediment discharge was 3.63 &#xd7; 10<sup>8</sup>&#xa0;t and decreased drastically after the construction of the TGD. The area of the 14 islands tended to decrease with the decrease in sediment content, while increasing the sediment content. This coincides with the findings of <xref ref-type="bibr" rid="B28">Li et al. (2019)</xref>, and similar phenomena have been observed in the channel bars in the middle Yangtze River. River sediment discharge is usually considered one of the major factors controlling island dynamics (<xref ref-type="bibr" rid="B39">Moretto et al., 2014</xref>). In this study, it is inferred that sediment discharge is the primary factor responsible for the observed reduction in the area of the fluvial islands.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Annual runoff and sediment discharge of Datong hydrological station from 1950 to 2016.</p>
</caption>
<graphic xlink:href="fenvs-12-1388854-g008.tif"/>
</fig>
<p>Flooding is also considered a significant factor that causes morphological changes in fluvial islands (<xref ref-type="bibr" rid="B1">Asaeda and Rashid, 2012</xref>). Within the time span from 1945 to 2016, there were two historic crests. The data presented in <xref ref-type="fig" rid="F8">Figure 8</xref> also show that annual runoff and sediment discharge reached a relatively high level, while the total area of the fluvial islands decreased to the lowest in 1954 and 1998. In 1954, a huge flood occurred with the water stage reaching 16.6&#xa0;m and a maximum flow of 92,600&#xa0;m<sup>3</sup>&#xa0;s<sup>-1</sup>&#xa0;at Datong Station. In 1998, another catastrophic flood occurred with a maximum flow of 81,000&#xa0;m<sup>3</sup>&#xa0;s<sup>-1</sup> (CWRC). The flood in 1998 reduced the total area to its lowest area after 1950. <xref ref-type="bibr" rid="B5">Bertoldi et al. (2009)</xref> also observed similar phenomena in their study of the Tagliamento River, a braided river where water flow and sediment transport are largely uncontrolled, with extreme floods being a major cause of erosion on fluvial islands. Annual runoff also influences the flow velocity along the fluvial islands, with the river segments of the study area exhibiting relatively stable flow velocities. It was observed that narrower stretches of the river exhibit higher velocities compared to wider ones and that velocities are higher upstream than downstream. Consequently, fluvial islands situated in regions with higher velocities, such as EMZ and HSZ, experienced more erosion (<xref ref-type="bibr" rid="B38">Moretto et al., 2012</xref>).</p>
<p>The evolution of fluvial islands is the result of long-term interactions between river boundaries and sediment transport (<xref ref-type="bibr" rid="B49">Shi et al., 2017</xref>). In this case, the evolution of fluvial islands in the lower reaches will be affected by riverbank erosion and deposition. The left bank shows more deposition than erosion, while almost all sections of the right bank show deposition. This may be due to the fact that a large number of shore protection projects effectively prevent shore erosion. The area with the largest erosion distance on both banks happens to be along with the merging of fluvial islands, and a similar island merging phenomenon also occurs in the Zhen-Yang reach of the Yangtze River (<xref ref-type="bibr" rid="B61">Yang, 2020</xref>). Fluvial islands with large morphological changes are found around the bank with evident displacement, suggesting that the evolution of fluvial islands in the Anhui section of the Yangtze River may be closely related to the erosion and deposition process on both banks of the Yangtze River. Comparing this study with the findings of <xref ref-type="bibr" rid="B2">Baki and Gan (2012)</xref> and <xref ref-type="bibr" rid="B24">Hudson et al. (2019)</xref>, we suggest that the riverbank migration plays an important role in the island dynamics. Specifically, in this study area, the narrowing of the river channel will hinder the development of fluvial islands, while the widening of the river channel will promote the silting and growth of fluvial islands. Further investigations should be carried out to detail this point in the future.</p>
<p>The evolution of fluvial islands is also influenced by other natural factors, such as precipitation, vegetation cover, and vegetation types (<xref ref-type="bibr" rid="B4">Baubinien&#xe9; et al., 2015</xref>). In the present study, the area changes of ZJZ and TBZ are relatively minor, and they are situated under similar hydro-sedimentary conditions. However, they have experienced different erosion and deposition processes, which is hypothesized to be due to the overflow of water from the lakes within the fluvial islands during the rainy season, leading to the loss of soil and shallow banks after the river scavenging. Furthermore, the higher the vegetation coverage and the richer the vegetation types, the less soil erosion on the island. Among them, trees are superior to shrubs and grasses, mixed forests are better than single-species forests, and the dense reeds along the outer edge of the island also serve as natural flood barriers. Short shrubs and trees that grow in the floodplain can also play a good role in stabilizing the embankment (<xref ref-type="bibr" rid="B13">Corenblit et al., 2015</xref>). In a study on channel bar morphodynamics in the middle Yangtze River, <xref ref-type="bibr" rid="B55">Wang et al. (2018)</xref> reported that the bars with high vegetation coverage tend to be stable during floods, while the bars with less vegetation are prone erosion. It can be seen that the vegetation can enhance the anti-erosion ability and thus promote the stability of fluvial islands.</p>
</sec>
<sec id="s4-2-2">
<title>4.2.2 Human factors</title>
<p>With the development of the social economy, anthropogenic influences play an increasingly significant role in the evolution of fluvial islands (<xref ref-type="bibr" rid="B35">Luan et al., 2018</xref>; <xref ref-type="bibr" rid="B60">Yang et al., 2018</xref>). Due to overexploitation and unreasonable land use, bank collapse often occurs. The evolution of the fluvial islands within the lower Yangtze River is also related to anthropogenic engineering and planning. The construction of the dams, the submerged banks, bank reinforcements, as well as guard works, have been significant factors in preventing shoreline collapse, improving the channel conditions, and stabilizing the branching pattern. These projects have weakened the scouring in the channel and protected the river channels and dikes along the two banks (<xref ref-type="bibr" rid="B24">Hudson et al., 2019</xref>).</p>
<p>In the lower reaches of the Yangtze River, the significant reduction in sediment discharge and external material input, which are necessary for the development of islands, is closely related to the construction of the TGD (<xref ref-type="bibr" rid="B49">Shi et al., 2017</xref>). As reported by <xref ref-type="bibr" rid="B8">Chen et al. (2016)</xref>, the construction of over 50,000 reservoirs in the Yangtze River basin since the 1950s has had a minimal effect on the annual runoff, yet the seasonal fluctuations in dam storage could influence the monthly distribution of runoff. The completion of the TGD has been associated with a notable reduction in the annual volume of sediment transport, serving as a compelling indicator of the significant impact of human activities on sediment dynamics (<xref ref-type="bibr" rid="B64">Zhao et al., 2017</xref>). Typically, the increasing runoff correlates with the increasing scouring, leading to a decrease in the area of fluvial islands due to erosion. However, since 2006, the total area of these islands has paradoxically expanded along with the annual runoff (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F8">8</xref>). This trend could be attributed to the government&#x2019;s initiatives to reinforce the embankment system along the Anhui section of the Yangtze River, which has mitigated island erosion and facilitated ongoing sediment deposition.</p>
<p>Previous studies have revealed that ongoing enhancement of embankment systems has been instrumental in mitigating erosion and submersion of fluvial islands by river waters, fostering their stable development and progressive accretion, which in turn has led to a gradual expansion of their surface areas (<xref ref-type="bibr" rid="B24">Hudson et al., 2019</xref>). Following the completion of the TGD, both the individual and cumulative areas of the fluvial islands exhibited a slow growth. This indicates that the significant decrease in sediment supply from upstream, has hindered the expansion of these islands due to the construction of the TGD (<xref ref-type="bibr" rid="B30">Li et al., 2016</xref>). Additionally, the dam has exacerbated the scouring effects during periods of high water, further eroding the islands and impeding their sedimentation and expansion. This process has also been observed to induce changes in the morphology of the fluvial islands (<xref ref-type="bibr" rid="B35">Luan et al., 2018</xref>).</p>
<p>Human activities such as sand mining, reforestation, and water regulation projects have a profound impact on the development of fluvial islands (<xref ref-type="bibr" rid="B20">Gurnell et al., 2005</xref>). Since the end of the last century, the evolution of these islands in the Lower Yangtze River has been notably influenced by human interventions. Practices such as riverbed dredging have incised the riverbed, leading to deeper and narrower channels, which in turn affect the morphological development of the fluvial islands (<xref ref-type="bibr" rid="B34">Lou et al., 2018</xref>). Previous studies have demonstrated that the fluctuation in the area of the fluvial islands of Yangtze River is a direct result of changes in the hydrological and sedimentary regimes. Sand and gravel extraction can fragment the riverbed, fostering vegetation growth and accelerating the amalgamation of fluvial islands (<xref ref-type="bibr" rid="B38">Moretto et al., 2012</xref>). Afforestation efforts on these islands, coupled with increased vegetation cover, have a stabilizing effect on the riverbanks and the islands, thus influencing the dynamics of sediment transport. This intervention limits erosion and channel migration, leading to channel incision and enhanced stability of the fluvial islands. These anthropogenic influences indirectly modify the distribution of water flow and can even alter the main distributaries, thereby affecting the conditions of exogenous material for the formation of fluvial islands.</p>
<p>Furthermore, the formation and evolution of fluvial islands not only influence their morphology, area, and direction of their development, but also profoundly influence their geochemical characteristics and regional variations. The age of island formation is correlated with the degree of soil development and the extent of soil utilization, which, in turn, markedly affects the accumulation and migration patterns of the physicochemical properties and elements of the soil (including the major and trace elements). This inevitably impacts their geochemical characteristics and regional differences. In contrast, variations in land use and soil properties also indirectly reflect the surface processes within the watershed, to some extent affecting the stability of the morphology of the fluvial islands. The interplay between these factors and their implications for the morphology and geochemistry of fluvial islands remains an area that is ready for further investigation.</p>
</sec>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This study analyzed the spatiotemporal evolution of fluvial islands and their influencing factors during 1945&#x2013;2016 in the lower Yangtze River, based on historical aerial photographs and Landsat MSS, TM, and ETM &#x2b; data. During the past 72&#xa0;years, the total area of the 14 fluvial islands showed a general increase at an average rate of 0.30&#xa0;km<sup>2</sup>&#xa0;yr<sup>-1</sup>. The island FHZ experienced the largest change in area, while XHZ had the smallest change in area. Sediment discharge and flooding were assumed to be the most significant natural factors controlling island dynamics. Additionally, the construction of dams and bank reinforcement also played a critical role in preventing shoreline collapse, improving channel conditions, and promoting the stability of the fluvial islands. From 1976 to 2016, the maximum accretion occurred on the island QJZ and the maximum erosion occurred on the left bank of island XHZ. On the right bank, almost the full reach exhibited accretion, which could be due to the erosion control structures that were built. The dynamics of the fluvial islands along the lower Yangtze River seems to follow the river bank erosion processes. The results of this study can provide an important reference for decision-making of sustainable island utilization and management. Further work is still necessary to quantify the relationship between island evolution and riverbank movement.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>JW: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Writing&#x2013;original draft. MF: Formal Analysis, Funding acquisition, Writing&#x2013;original draft. HZ: Writing&#x2013;review and editing. MS: Writing&#x2013;review and editing. JB: Conceptualization, Methodology, Writing&#x2013;review and editing. NL: Writing&#x2013;review and editing. CG: Conceptualization, Funding acquisition, Methodology, Supervision, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Natural Science Foundation of China (Grant No: 41877002 and 42101062) and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (Grant No: 22KJB170008).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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 sec-type="disclaimer" id="s10">
<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>
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