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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.2023.1112487</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>Spatio-temporal changes and driving forces of reclamation based on remote sensing: A case study of the Guangxi Beibu Gulf</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Jingfang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yibo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2141928"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Honghua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2005454"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lv</surname>
<given-names>Xianqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1472928"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>First Institute of Oceanography, Ministry of Natural Resources</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Laoshan Laboratory</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Shiqiu Peng, State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Chunyu Zhao, Dezhou University, China; Zhijian Jiang, South China Sea Institute of Oceanology (CAS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Honghua Shi, <email xlink:href="mailto:shihonghua@fio.org.cn">shihonghua@fio.org.cn</email>; Xianqing Lv, <email xlink:href="mailto:xqinglv@ouc.edu.cn">xqinglv@ouc.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Conservation and Sustainability, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1112487</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Lu, Zhang, Shi and Lv</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lu, Zhang, Shi and Lv</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>Since 2000, coastal reclamation projects have been implemented in the Guangxi Beibu Gulf to alleviate the shortage of coastal land resources. As a result, the reclamation area has increased significantly. In this study, based on the Landsat program, we tracked coastal reclamation in the coastal waters of Guangxi in the 21st century. An indicator system was proposed to assess the driving forces of reclamation synthetically. Our results showed that 98.6 km<sup>2</sup> of coastal waters of the Guangxi Beibu Gulf was reclaimed from 1997 to 2017, in which three regions underwent great changes: Fangcheng Bay, Tieshan Bay, and Qiznhou Bay. Furthermore, spatio-temporal changes of reclamation were affected by the combination of population growth, economic development, and marine industry development in coastal cities. These results provide an important historical reference for tracking the human development processes of the Guangxi Beibu Gulf, and also offer some suggestions for the rational allocation of reclamation resources.</p>
</abstract>
<abstract id="abs1" abstract-type="graphical">
<title>Graphical Abstract</title>
<p><graphic xlink:href="fmars-10-1112487-g010.tif" position="anchor"/></p>
</abstract>
<kwd-group>
<kwd>coastline changes</kwd>
<kwd>reclamation</kwd>
<kwd>driving factor</kwd>
<kwd>linear regression</kwd>
<kwd>path analysis</kwd>
</kwd-group>
<contract-num rid="cn001">No.U1806214, No.51779048</contract-num>
<contract-num rid="cn002">2018YFD0900806</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="4805"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Coastal reclamation, one of humankind&#x2019;s most radical modifications of the ocean, is motivated by a growing demand for land resources. Multiple driving factors, including coastal and foreshore defenses (<xref ref-type="bibr" rid="B11">Herbeck and Flitner, 2019</xref>), residential and commercial developments (<xref ref-type="bibr" rid="B4">Chee et&#xa0;al., 2023</xref>), and growing coastal populations and infrastructure needs (<xref ref-type="bibr" rid="B2">Bisaro et&#xa0;al., 2020</xref>), such as airports or ports (<xref ref-type="bibr" rid="B27">Suzuki, 2003</xref>; <xref ref-type="bibr" rid="B32">Wang et&#xa0;al., 2014</xref>), have resulted in large scales of land reclamation. For example, <xref ref-type="bibr" rid="B4">Chee et&#xa0;al., 2023</xref>, demonstrated that the need to develop and modernize was the main driver cited as reasons to reclaim Malaysian coastlines. <xref ref-type="bibr" rid="B27">Suzuki, 2003</xref>, showed that in Japan the topography and the requirement for residential, commercial, and industrial development contributed to the need to expand into the sea. Further, port expansions are also a driver for coastal reclamation (<xref ref-type="bibr" rid="B22">Muller et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B15">Lin et&#xa0;al., 2021</xref>), In addition, the rapid expansion of the coastal economy and accelerated coastal population growth in the Bohai Sea have caused a sharp increase in land reclamation (<xref ref-type="bibr" rid="B28">Temmerman et&#xa0;al., 2013</xref>). Moreover, many coastal countries, including America (<xref ref-type="bibr" rid="B13">Kennish, 2001</xref>), China (<xref ref-type="bibr" rid="B18">Ma et&#xa0;al., 2014</xref>), Singapore (<xref ref-type="bibr" rid="B23">Powell, 2021</xref>), and Malaysia (<xref ref-type="bibr" rid="B4">Chee et&#xa0;al., 2023</xref>), have conducted coastal reclamation for urban development. Therefore, the drivers of land reclamation are often multitudinous, so accurate evaluation of these factors is important for marine management.</p>
<p>According to the world&#x2019;s first map of the physical footprint of marine construction, <xref ref-type="bibr" rid="B3">Bugnot et&#xa0;al. (2020)</xref> noted that coastal reclamation was continuing to spread and taking up more and more of the global ocean area in 2020; China is the economic zone with the most oceanic construction (accounting for 40% of the global ocean construction) since its reform and opening up in the early 1980s. Studies showed that the majority of China&#x2019;s reclamation was concentrated in the Bohai Sea, Yangtze Estuary Delta, and Pearl River Delta (<xref ref-type="bibr" rid="B30">Tian et&#xa0;al., 2016</xref>). However, reclamation activities also increased significantly in the Guangxi Beibu Gulf, where a large amount of land was needed for urban construction, further harbors, farmlands, and aquaculture ponds within the development of the Beibu Gulf Economic Zone (<xref ref-type="bibr" rid="B26">Sun et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B36">Zhao et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B17">Lyu et&#xa0;al., 2022</xref>). The drivers of land reclamation are often multitudinous, so accurate evaluation of these factors is important for marine management.</p>
<p>The Guangxi Beibu Gulf is located in the northwestern part of the South China Sea. It is bounded by the Leizhou Peninsula and Hainan Island to the east, the Guangxi Zhuang Autonomous Region to the north, and Vietnam to the west. It is connected to the South China Sea <italic>via</italic> the Qiongzhou Strait. (<xref ref-type="bibr" rid="B14">Lao et&#xa0;al., 2021</xref>). Compared with other coastal areas in China, the development and exploitation of marine resources in the Beibu Gulf started relatively later due to the particularities of its geographical location. However, after years of development and construction, the Guangxi Beibu Gulf Economic Zone has become a multi-regional cooperation center and the leader of Guangxi&#x2019;s opening-up policies, and been incorporated into China&#x2019;s national development strategy (<xref ref-type="bibr" rid="B9">Han et&#xa0;al., 2018</xref>). For the past two decades, the Guangxi Beibu Gulf has experienced extreme coastal reclamation, which has resulted in the significant loss of coastal wetlands and degradation of the natural shoreline; this poses significant challenges to its ecological environment and the ecosystem service functions, especially the widely distributed and typical coastal wetlands with mangroves and seagrass beds within the coastal waters of Guangxi in the Beibu Gulf (<xref ref-type="bibr" rid="B26">Sun et&#xa0;al., 2020</xref>).</p>
<p>Previous studies on the reclamation of the Guangxi Beibu Gulf have mainly focused on coastline changes (<xref ref-type="bibr" rid="B34">Yu et&#xa0;al., 2021</xref>), hydrodynamic changes (<xref ref-type="bibr" rid="B31">Wang et&#xa0;al., 2021</xref>), and pollutant discharge (<xref ref-type="bibr" rid="B17">Lyu et&#xa0;al., 2022</xref>). At present, there have been no attempts to derive a consecutive-yearly estimate of the extent of reclamation and its driving factors. Some studies have already discussed the relationship between reclamation and socio-economic factors. For example, <xref ref-type="bibr" rid="B30">Tian et&#xa0;al. (2016)</xref> analyzed and quantified the spatio-temporal variation of reclamation in China, and found that high-intensity coastal reclamation was mainly driven by the booming economy, especially after 2000, which was associated with urbanization and industrial development in China&#x2019;s coastal region. <xref ref-type="bibr" rid="B20">Meng et&#xa0;al. (2017)</xref> found that marine industrial development and industrial wastewater discharge had a positive correlation with sea reclamation. Hence, the most complete assessments of driving factors on the reclamation should consider multiple statistical data, such as gross economic product, human population density, and marine industry development.</p>
<p>More recent remote sensing images have provided a unique opportunity to investigate the distribution of reclamation activities in the Guangxi Beibu Gulf coast from 1997 to 2017. We accurately measured the position of reclamations derived from two remote sensing images (Path/Row: 125/045,124/045), a composite ground truth that ideally aggregates images from the same month taken by Landsat (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Subsequently we provide a new evaluation indicator system for the assessment of the driving force factors of reclamation. The hypothesis that GDP and population growth have significant effects on reclamation in coastal cities was supported in our study. The general objective of this paper was to comprehensively evaluate the impacts of driving forces on reclamation in near-coastal waters of the Guangxi Beibu Gulf. The specific objectives were: 1) to draw a diagram of the spatio-temporal changes of near-coastal reclamation in coastal waters; 2) to explain the initiation mechanisms of reclamation intensity and its changes from the factors of population, economy, urbanization, and industrialization. The results of this study will provide some references for the development and protection of the Guangxi Beibu Gulf coast.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map showing the location of the study area <bold>(A)</bold>. The main bays and two reclamation projects <bold>(B)</bold> are noted on Landsat images (captured on 22 Oct 2017).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g001.tif"/>
</fig>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Studied area</title>
<p>The Guangxi Beibu Gulf is located in the northwestern part of the South China Sea and bounded by the Leizhou Peninsula and Hainan Island on the east (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The Beibu Gulf is an important newly developing industry and port area. It has some bays, including Fangcheng Bay, Qinzhou Bay, Lianzhou Bay, and Tieshan Bay (<xref ref-type="bibr" rid="B37">Zhu et&#xa0;al., 2022</xref>). The main types of natural coastlines include coral reefs, intertidal silt, and mangrove swamps, which are mostly found on the west coast of the Guangxi Beibu Gulf, and about 80% of rock coasts are on the east coast; the rest are sand and silt coasts (<xref ref-type="bibr" rid="B26">Sun et&#xa0;al., 2020</xref>). With the increase in development intensity, the natural coasts of the Beibu Gulf are being damaged at an alarming rate (<xref ref-type="bibr" rid="B36">Zhao et&#xa0;al., 2021</xref>).</p>
<p>In recent years, reclamation activities have increased in the Beibu Gulf due to its special location and unique natural resources. Consequently, the land-use types have been remarkably changed. For example, the Nanliu River estuary delta has been used for aquaculture activities, and Qinzhou Harbor (32.5 km<sup>2</sup>) was reclaimed for residential and commercial developments in Qinzhou City (<xref ref-type="bibr" rid="B17">Lyu et&#xa0;al., 2022</xref>). This study involved three cities, including Fangchenggang City, Qinzhou City, and Beihai City in Guangxi Province, China, with a total regional GDP of 103.5 billion RMB and a total population of 24.6 million (<xref ref-type="bibr" rid="B8">Guangxi Statistical Yearbook, 1995&#x2013;2015</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data resource</title>
<p>The data used in this study were mainly from the following four resources: remote sensing image data from the geospatial data cloud (<uri xlink:href="http://www.gscloud.cn">http://www.gscloud.cn</uri>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>); vector data (including the length of artificial coastlines, natural coastlines, reclamation areas, and their utilization types) extracted from the Geographic Information System (Versions: ArcGIS. 10.1); statistical data from the China Marine Statistical Yearbook (1997-2018) and the Statistical Yearbooks of Guangxi Zhuang Autonomous Region (1997-2018); Google Earth Pro 7.3 data as a geographical reference for identifying and correcting marine constructions such as ports, wharves, and dams.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>List of land satellite image data of the Guangxi Beibu Gulf.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Region</th>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">Image sensor</th>
<th valign="middle" align="left">Path/Row</th>
<th valign="middle" align="center">Spatial Resolution</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Beibu Gulf</td>
<td valign="middle" align="center">1997-2017</td>
<td valign="middle" align="left">Landsat5 TM, Landsat7 ETM, Landsat8 OLI.</td>
<td valign="middle" align="center">125/045, 124/045</td>
<td valign="middle" align="left">30 m</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In this study, we present new interpretation signs of reclamation based on remote sensing images and the knowledge of the morphological features, vegetation, and coastal engineering characteristics (shape, size, color, and texture). Herein, the technological framework is shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The goals are: 1) to identify the extent of existing coastal reclamation by establishing interpretation signs in the Guangxi Beibu Gulf; 2) to reveal the characteristics of the spatio-temporal changes of the coastline and reclamation; and 3) to identify the driving forces of reclamation.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Method flow chart of the study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g002.tif"/>
</fig>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Remote sensing image processing</title>
<p>Twenty-one remote sensing images of the Guangxi Beibu Gulf reclamation area were used in this study. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows detailed information on the land satellite image data. The radiometric calibration, geometric correction, band fusion (including bands 3, 4, and 5), image mosaic, and image cutting of the land satellite image data were conducted according to ENVI 5.3.</p>
<p>Coastline: the coastline data of the Guangxi Beibu Gulf from 1997 to 2017 were processed using ArcGIS10.1 software. According to the method from <xref ref-type="bibr" rid="B26">Sun et&#xa0;al. (2020)</xref>, the coastlines were divided into natural coastlines and artificial coastlines. Natural coastlines mainly include bedrock coastline, sandy coastline, muddy coastline, estuary coastline, and biological coastline, and artificial coastlines mainly include port coastline, mariculture pond coastline, and transportation coastline; the interpretation rules used in this study were the same as <xref ref-type="bibr" rid="B26">Sun et&#xa0;al. (2020)</xref>. Additionally, the extracted coastline was the instantaneous boundary between water and land, and the impact of tides on coastlines was not considered.</p>
<p>Reclamation: based on the knowledge of the morphological features, vegetation types, and development and utilization status, we established the relationship between the remote sensing image shape, size, color or tone, shadow, location, structure, texture, and other features and corresponding interpretation types. Then, the reclamation types were classified through visual interpretation of the remote sensing images as: ponds, industrial and urban land, ports, breakwaters, and cross-sea bridges. The details are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Interpretation signs for different types of reclamation and utilization.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Reclamation Types</th>
<th valign="middle" align="center">Sign</th>
<th valign="middle" align="center">Description of interpretation sign (band 543)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Pond</td>
<td valign="middle" align="left">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-i001.tif"/>
</td>
<td valign="middle" align="left">Dark blue or bluish-white, uniform tone, clear texture, flaky or striped distribution</td>
</tr>
<tr>
<td valign="middle" align="left">Industrial and urban land</td>
<td valign="middle" align="left">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-i002.tif"/>
</td>
<td valign="middle" align="left">Pink, blue-gray, uneven tone, rough texture, irregular shape, flaky distribution, covered by vegetation</td>
</tr>
<tr>
<td valign="middle" align="left">Port</td>
<td valign="middle" align="left">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-i003.tif"/>
</td>
<td valign="middle" align="left">Clear gray texture, generally small in width, distributed in places where water and land meet directly</td>
</tr>
<tr>
<td valign="middle" align="left">Cross-sea bridge</td>
<td valign="middle" align="left">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-i004.tif"/>
</td>
<td valign="middle" align="left">Cross-sea bridges with clear gray texture, coherent water waves on both sides, and projections on the sea surface</td>
</tr>
<tr>
<td valign="middle" align="left">Breakwater</td>
<td valign="middle" align="left">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-i005.tif"/>
</td>
<td valign="middle" align="left">The textures of breakwaters are blurred, gray, mostly in strips, and perpendicular to the land.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Validation: The extraction accuracy of reclamation was assessed by comparing the outputs with Google Earth imagery. A total of 100 control coordinate sites that covered all reclamation types were collected from Google Earth images to verify the accuracy of the visual interpretation of the reclamation. The overall accuracy was 97%, which indicated good performance.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Driving force analysis</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Index selection</title>
<p>In China, economic development, population growth, agricultural requirements, and other industries contribute to the need to expand into the sea (<xref ref-type="bibr" rid="B4">Chee et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B30">Tian et&#xa0;al., 2016</xref>). On the basis of the preceding description, a hierarchical assessment indicator system was established (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), and the definition of indicators was presented using Statistical Bulletins.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Evaluation index system of the driving force factors of the reclamation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">First-grade indicators</th>
<th valign="middle" align="center">Second-grade indicators</th>
<th valign="middle" align="center">Definition</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">1.Economic development</td>
<td valign="middle" align="left">1. GDP of primary industry</td>
<td valign="middle" align="left">the end result of agricultural economic activities (including farming, forestry, animal husbandry, and fishery).</td>
</tr>
<tr>
<td valign="middle" align="left">2. GDP of secondary industry</td>
<td valign="middle" align="left">the end result of industrial economic activities (including mining and quarrying, manufacturing, and electricity, gas, and water production and supply).</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">2.Population growth</td>
<td valign="middle" align="left">3. Population growth rate</td>
<td valign="middle" align="left">the rate of population growth caused by natural and migration changes over a given time period (usually within a year).</td>
</tr>
<tr>
<td valign="middle" align="left">4. Urbanization degree</td>
<td valign="middle" align="left">the urban population as a percentage of the total population.</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">3.Marine industry development</td>
<td valign="middle" align="left">5. Mariculture production</td>
<td valign="middle" align="left">the output of aquatic products whose young are artificially released or naturally collected, raised, and managed artificially, and which are caught from the waters of mariculture.</td>
</tr>
<tr>
<td valign="middle" align="left">6. Cargo throughput</td>
<td valign="middle" align="left">the weight of the cargo being loaded and unloaded.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Statistical analysis</title>
<p>Linear regression refers to the dependent variable as a linear function of one or more independent variables, subject to a random &#x201c;disturbance&#x201d; or &#x201c;error&#x201d; term (<xref ref-type="bibr" rid="B24">Ruivo et&#xa0;al., 2022</xref>). This method has been a widely used technique in finance and environment research with its advantages of simplicity in application, efficiency in computation, and ease of interpretation (<xref ref-type="bibr" rid="B29">Thompson et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B7">Gilli et&#xa0;al., 2019</xref>). In this study, linear regressions were applied to assess reclamation using continuous yearly variables, such as gross domestic product, population growth rate, urbanization degree, mariculture production, and cargo throughput. In this study, linear regression analysis was performed using SPSS 19.0 software.</p>
<p>Path analysis is an extension of multiple regression that can be used for investigating direct and indirect relationships between variables and latent variables (<xref ref-type="bibr" rid="B33">Wood and Brodie, 2016</xref>; <xref ref-type="bibr" rid="B1">Bello et&#xa0;al., 2020</xref>). Model fit is measured using the coefficient of determination (R<sup>2</sup>), and a high R<sup>2</sup> indicates the goodness of fit of model equations. In this study, path analysis was performed to determine the overall effect of socioeconomic factors on reclamation, and the expected model of causal factors upfront was proposed as shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>&#xa0;A path analysis model of the reclamation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g003.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Result</title>
<sec id="s3_1">
<label>3.1</label>
<title>Reclamation expansion</title>
<p>The development process of reclamation in the Guangxi Beibu Gulf is shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>. The increase in the cumulative reclamation area in the Guangxi Beibu Gulf was 98.6 km<sup>2</sup> from 1997 to 2017, and the accumulated area of reclamation from 2007 to 2017 accounted for 82.3% of its total reclamation since 1987. This illustrated that large-scale reclamation activities in the coastal waters of Guangxi in the Beibu Gulf began after 2007, and happened mainly in three regions that have undergone great changes, particularly in Qinzhou Bay (42.5%) and Fangcheng Bay (20.7%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). In Fangcheng Bay, the natural coastline was used for urban development and port land after 2001. In Qinzhou Bay, two nearly 7 km-long breakwaters were located on the western coast, which connect to the land and aim to protect the coast; additionally, a large reclamation project in Qinzhou Bay for urban and industrial use named Sandun covered an area of approximately 30 km<sup>2</sup>. The third region is located in Tieshan Bay, where three reclamation projects have been completed since 2001.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Spatio-temporal change of reclamation and its use types.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g004.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref> presents the areas of each coastal reclamation type along the Guangxi coast. Of all the reclamation projects, 44.8% could be attributed to ports. The ports, industrial and urban areas, ponds, cross-sea bridges, and breakwaters accounted for 30.9%, 20.3%, 2.4%, and 1.6% of the total reclaimed area within the Guangxi Beibu Gulf, respectively.</p>
<p>
<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> illustrates the cumulative areas of coastal reclamation in the Guangxi Beibu Gulf over the previous 20 years. It could clearly be seen that the rate of increase in reclamation in Guangxi first increased and then decreased from 1997 to 2017, reaching a peak of 54.1 km<sup>2</sup> and with an average of 10.8 km<sup>2</sup> per year over 2006-2010. After 2010, the rate of growth slowed significantly, with an average of 3.7 km<sup>2</sup> per year from 2010-2017.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Changes in reclamation area from 1997 to 2017.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g005.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Reclamation-induced coastline change</title>
<p>As shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>, in 1997 the coastline was mainly natural coastline, such as mangrove, beach, and estuary coastlines, accounting for 79.7% of the total coastline length of the Guangxi Beibu Gulf. After 2007, the length and proportion of the urban and industrial coastline and port coastline increased significantly, making the artificial shoreline jump from 20.3% (1997) to 58.1% (2017). In the past 20 years, natural coast has been reclaimed throughout the gulf, with three areas of particular concern: one in Fangcheng Bay (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, E</bold>
</xref>), another in Qinzhou Bay (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B, F</bold>
</xref>), and the third is a large-scale breeding pond constructed after 2000 in the Nanliu River estuary, which was converted from unused land (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6C, G</bold>
</xref>). In terms of spatial distribution, the natural coastline was mainly distributed in the western parts of Fangcheng Bay and western parts of Qinzhou Bay, and the artificial coastline mostly distributed in Tieshan Bay, the eastern parts of Fangcheng Bay, and the coastal waters of the Nanliu River.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Spatio-temporal changes of the coastline in the Guangxi Beibu Gulf in 1997 and 2017 <bold>(D)</bold>. The natural coast has been reclaimed throughout the entire gulf, where three regions have undergone great changes that were recorded by remote sensing observation, including: remote sensing images of Fangcheng Bay in 1997 <bold>(A)</bold> and 2017 <bold>(E)</bold>; remote sensing images of Qinzhou Bay in 1997 <bold>(B)</bold> and 2017 <bold>(F)</bold>; and remote sensing images of Nanliu River estuary in 1997 <bold>(C)</bold> and 2017 <bold>(G)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g006.tif"/>
</fig>
<p>It is obvious that reclamation can greatly change the coastline length and type. For example, Landsat satellite data enabled us to obtain the coastline changes for large areas, i.e., bays like Qinzhou and Fangcheng, in a relatively short period of time. In addition, reclamation can also reshape the geometrical morphology of coastlines, such as the Nanliu River estuary where the natural coastline was converted to a pond coastline. This showed that the artificial coastline length and total coastline length had increased during the 20-year period (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), while the natural coastline showed a slow but steady decrease from 1997 to 2017. We further analyzed the trend of the artificial coastline increase and noted a sharp increase before 2010. It increased by 2.8 times from 195.1&#xa0;km in 1997 to 550.6&#xa0;km in 2010.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Changes in coastline length from 1997 to 2017.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g007.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Driver forces of reclamation</title>
<p>In the linear regression model of reclamation (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8A&#x2013;C</bold>
</xref>), the high R<sup>2</sup> for both GDP of primary industry (R<sup>2</sup> = 0.952) and degree of urbanization (R<sup>2</sup> = 0.907) indicated these factors have promoted reclamation. It was clear that the growth of the GDP of the primary industry and the degree of urbanization was positively correlated with the area of reclamation, which significantly increased. In the linear regression model of artificial coastlines (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8D&#x2013;F</bold>
</xref>), the high R<sup>2</sup> for both GDP of the secondary industry (R<sup>2</sup> = 0.919) and the degree of urbanization (R<sup>2</sup> = 0.977) indicated these factors have promoted artificial coastlines.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Linear regression between coastal reclamation and socio-economic factors, including economic development <bold>(A)</bold>, population growth <bold>(B)</bold>, and marine industry development <bold>(C)</bold> in coastal cities. <bold>(D&#x2013;F)</bold> denotes the linear regression between coastline change and socio-economic indicators.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g008.tif"/>
</fig>
<p>In the path analysis of the Guangxi Beibu Gulf reclamation model (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9A</bold>
</xref>), the GDP of the primary industry had the largest influence on the cumulative reclamation area (standardized betas of the regression equations: 0.994). The population growth rate and degree of urbanization both had a positive influence relationship with the cumulative reclamation area, the standardized betas of which being 0.480 and 0.375, respectively. However, our hypothesis concerning economic contribution was inconsistent with secondary industry GDP. In this model, the GDP of secondary industry had a weakly negative relationship with cumulative reclamation area (standardized beta: &#x2212;0.356) and the length of artificial coastlines (standardized beta: &#x2212;0.524); this was because the expanded reclamation that gradually moved toward industrialization had a low population, GDP, and urban development area before any infrastructure-related to industry was built. Moreover, the cumulative reclamation areas showed positive effects on the length of artificial coastlines and the cargo throughput of major ports, with standardized betas of 0.791 and 0.642, respectively. In the path analysis of the Guangxi Beibu Gulf coastline models (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9B</bold>
</xref>), the GDP of primary industry also had the largest influence on the length of artificial coastlines (standardized betas: 0.945). Artificial coastlines were found to have a positive direct effect on the cargo throughput of major ports (standardized betas: 0.664).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Path analysis to estimate the reclamation <bold>(A)</bold> and artificial coastline <bold>(B)</bold> and relationships between socio-economic factors. Numbers show the standardized betas of the regression equations. Solid lines indicate that the effect is significant; dotted lines indicate that the effect is insignificant. The R<sup>2</sup> for all the equations was high and ranged between 0.927 and 0.993, indicating good performance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1112487-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Verification of reclamation and its driving forces</title>
<p>This study encompassed a 21-year record and 42 remote sensing images of the Guangxi Beibu Gulf. Importantly, these remote sensing images provided insights into the changes in coastline at different temporal and spatial scales, especially in bays where artificial reclamation was significant. Throughout the entire 21-year record, approximately 36.1% of the coastline exhibited statistically significant man-made reclamation, which occurred in river estuaries and bay mouths (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Furthermore, the percentage of artificial coasts rose rapidly from 42.5% in 1997 to 72.7% in 2017, as a result of high-intensity human activities including reclaiming land from the sea. We compared results over the same period and found that the overall error was 4.1-9.8% (<xref ref-type="bibr" rid="B26">Sun et&#xa0;al., 2020</xref>). The causes of the conversion of natural shorelines to artificial shorelines included reclamation and land-use changes. Based on the result for the area, reclamation was the dominant factor leading to the change of coastline, and its contribution rate reached 62.9% (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<p>According to the results of the linear regression modeling, GDP development was the main reason for the change of coastal reclamation in the Guangxi Beibu Gulf, which was consistent with previous studies in other coastal regions of China (<xref ref-type="bibr" rid="B32">Wang et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B6">Chen et&#xa0;al., 2017</xref>). However, the driving mechanism of coastal reclamation is complicated (<xref ref-type="bibr" rid="B20">Meng et&#xa0;al., 2017</xref>). <xref ref-type="bibr" rid="B20">Meng et&#xa0;al., 2017</xref> confirmed that the employees in marine industries and areas of mariculture had a positive effect on the change of coastal reclamation in China. <xref ref-type="bibr" rid="B12">Jiang et&#xa0;al., 2021</xref> further found that policy implementation controlled and limited the scale of coastal reclamation. In addition, the driving forces of reclamation in the world have already been studied by other scholars. The study by <xref ref-type="bibr" rid="B4">Chee et&#xa0;al. (2023)</xref> showed that the rise in human populations, urbanization, and reduction in construction costs led to a large amount of reclamation in Malaysia. In the United Kingdom, approximately 6,500 ha of the Shannon estuary lowlands have been reclaimed for agricultural development (<xref ref-type="bibr" rid="B10">Healy and Hickey, 2002</xref>). As a result, a variety of socioeconomic factors influence land reclamation. We aimed to provide a new index system that evaluated the socioeconomic factors driving land reclamation. The path analysis is capable of exploring the driving forces of reclamation projects using varying regression equations, and the findings showed that population growth, economic development, and marine industry development all influenced the spatio-temporal changes in reclamation in the Guangxi Beibu Gulf.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Economic benefits of reclamation</title>
<p>The Guangxi Beibu Gulf is one of the most important economic zones in China. However, its limited land supply has led to insufficient space for its urban expansion, especially on the west coast of Qinzhou Bay and the south coast of Fangcheng Bay which both contain mangrove, muddy, sandy shoals, and low-level terrain. In order to obtain expanded space for further developments in ports and ponds, intensive reclamation projects have taken place in these regions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Since 1997, two large-scale reclamation activities have also occurred and led to the industrial development of cities around the Beibu Gulf. There has been a stark increase in the number of coastal reclamation projects for aquaculture ponds, breakwaters, port terminals, cross-sea bridges, and industrial developments in the coastal cities. According to statistics, from 1997 to 2017, the cargo throughput of the main ports of Guangxi increased by 11.6 times, and the aquaculture production increased by 3.3 times (China Marine Statistical Yearbook). With the exploitation of reclamation, the growth of the marine industry has gradually taken the lead in coastal cities&#x2019; overall economic expansion.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Other driving force</title>
<p>The reclamation in Guangxi has grown rapidly since 2006, at an average of 10.8 km<sup>2</sup> per year from 2006-2010. After 2010, the rate of growth slowed significantly, with an average of 3.7 km<sup>2</sup> per year from 2010-2017. This decreasing trend was highlighted as the reason the Beibu Gulf has vigorously developed ports and tourism to drive economic benefits in the past seven years. Although the extension of Qinzhou and Fangcheng ports to the sea area is limited, more emphasis has been placed on port expansion after 2010 than on reclaiming coastal land for ponds and construction land in the Guangxi Beibu Gulf. This was the major reason for the declining trend in the yearly reclamation area in the Beibu Gulf region. In addition, the spread of land reclamation also became relatively sluggish to safeguard the environment and ecology (<xref ref-type="bibr" rid="B36">Zhao et&#xa0;al., 2021</xref>).</p>
<p>From the path analysis between the reclamation area and indicators (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>), it was found that socio-economic factors had significant effects on reclamation which, in turn, promoted marine industrial development and increased revenue. However, the evaluation index system of the driving force factors of the reclamation may have some limitations that need to be improved in future studies: economic development, population growth, and marine industry development were focused on without the consideration of the unquantifiable indicators, such as institutional policies and technical measures (<xref ref-type="bibr" rid="B4">Chee et&#xa0;al., 2023</xref>). For example, the implementation of the &#x2018;2006 Beibu Gulf Development Plan&#x2019; provides a good opportunity and platform for the development of ports, logistics, and coastal industry; the reduction in construction costs brought about by technological advancements has also made land reclamation more appealing to investors (<xref ref-type="bibr" rid="B21">Miao and Xue, 2021</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Suggestions for coastal reclamation</title>
<p>Although coastal reclamation projects conducted along the Guangxi coast have boosted economic development, they have also inevitably brought potential impacts on coastal zones, such as reshaping the coastline (<xref ref-type="bibr" rid="B18">Ma et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B19">Md et&#xa0;al., 2019</xref>), altering land-use types (<xref ref-type="bibr" rid="B36">Zhao et&#xa0;al., 2021</xref>), and changing the ecology and environment (<xref ref-type="bibr" rid="B35">Zhang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Lu et&#xa0;al., 2022</xref>). Management of the Guangxi Beibu Gulf is currently focused on the social and economic benefits of reclaimed land while ignoring the ecological and environmental influence. As a result, environmental pollution in reclaimed areas is becoming increasingly severe, and biodiversity is being harmed, especially in oil production areas and mariculture ponds (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B15">Lin et&#xa0;al., 2021</xref>), which are gradually becoming the primary constraint affecting the sustainable utilization of reclaimed land and the sustainable development of the coastal economy. On the basis of the Guangxi Beibu Gulf reclamation conditions, we suggest strengthening the scientific control and efficient use of coastal reclaimed land and paying attention to the combination of environmental protection and management based on adequate knowledge of the coastal and marine ecosystems. In addition, in areas of intensive reclamation, such as Fangcheng Bay and Qinzhou Bay, reclamation activities should be timely regulated and properly reduced according to regular monitoring and assessment (<xref ref-type="bibr" rid="B25">Shen et&#xa0;al., 2016</xref>).</p>
<p>At present, coastal reclamation is in transition from a high-intensity development stage to a more conservative and prudent stage in Guangxi. However, when it comes to resolving the conflict between the economy and land resources, coastal reclamation remains the first option. To keep regional economic development sustainable, we must weigh the benefits and drawbacks of reclamation and economic growth, and then we must implement suitable coastline reclamation measures.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>The reclamation evaluation of the Guangxi Beibu Gulf indicated the following: 1) since 1997, large-scale coastal reclamation has been conducted in the Guangxi Beibu Gulf, with a total area of 98.6 km<sup>2</sup>, of which three regions, Fangcheng Bay, Tieshan Bay, and Qiznhou Bay, have undergone great changes; 2) spatio-temporal changes of reclamation were affected by the combination of population growth, economic development, urbanization, and marine industry development in coastal cities.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<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 authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JL: conceptualization, data curation, formal analysis, investigation, methodology, software, validation, visualization, writing - original draft, and writing - review and editing. YZ: data curation, formal analysis, methodology, supervision, and visualization. HS: conceptualization, funding acquisition, methodology, project administration, and resources. XL: formal analysis, methodology, writing - review and editing, project administration, and resources. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the National Natural Science Foundation of China (No.U1806214 &amp; No.51779048) and the National Key Research and Development Program of China (No. 2018YFD0900806).</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>
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