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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.2024.1470777</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>Beach erosion and typhoons reduce green turtle nesting grounds on the Xisha Islands, South China Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2733837"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Chenglong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yupei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Yangfei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>An</surname>
<given-names>Xiaoyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Yongkang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jichao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1634229"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Liu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2725272"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Hai-Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University</institution>, <addr-line>Haikou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Hainan Sansha Provincial Observation and Research Station of Sea Turtle Ecology</institution>, <addr-line>Sansha</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Marine Protected Area Administration of Sansha City</institution>, <addr-line>Sansha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Eduardo Cuevas, Autonomous University of Baja California, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Nancy P&#xe9;rez Morga, Universidad Aut&#xf3;noma del Carmen, Mexico</p>
<p>Marisol Escorza-Reyes, Universidad Aut&#xf3;noma del Carmen, Mexico</p>
<p>Maria M&#xf3;nica Lara Uc, Universidad Aut&#xf3;noma de Baja California Sur, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Liu Lin, <email xlink:href="mailto:kylelinliu@163.com">kylelinliu@163.com</email>; Hai-Tao Shi, <email xlink:href="mailto:haitao-shi@263.net">haitao-shi@263.net</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1470777</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Zhang, Li, Yu, An, Jiang, Wang, Lin and Shi</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Zhang, Li, Yu, An, Jiang, Wang, Lin and Shi</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>
<sec>
<title>Introduction</title>
<p>Sea turtles are ideal flagship and umbrella species for marine biodiversity conservation. The quality of nesting grounds is crucial for the successful reproduction of sea turtles, as it determines whether they can successfully nest and hatch. The Xisha Islands represent the largest remaining nesting grounds for green turtles in China. However, they face numerous threats and lack management guidelines for nesting ground restoration.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, we continuously monitored the beach changes and coastal erosion on North Island, which is located in the northern region of the Xisha Islands, from 2019 to 2022.</p>
</sec>
<sec>
<title>Results</title>
<p>From 2020 to 2022, the beach area on North Island decreased annually by 11,800 m<sup>2</sup>, accounting for 24.39% of the beach area in 2020. The proportion of suitable nesting sand types (including coarse and medium sands) also decreased annually, with a reduction of 40&#x2013;70% on the southern beach of North Island. The peak nesting period of green turtles on North Island coincides with the frequent occurrence of typhoons in the South China Sea, causing tidal surges that inundate green turtle nests, resulting in an average nest loss rate of 35.25%.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Based on the above threats, it is recommended to promptly initiate habitat restoration in severely eroded areas of green turtle nesting grounds to prevent further declines in nesting area and quality. Additionally, measures such as nest relocation should be implemented to enhance green turtle reproductive success.</p>
</sec>
</abstract>
<kwd-group>
<kwd>beach erosion</kwd>
<kwd>green turtle</kwd>
<kwd>hatching success</kwd>
<kwd>island morphological changes</kwd>
<kwd>nesting ground</kwd>
</kwd-group>
<contract-num rid="cn002">31960101, 32160135, 32170532</contract-num>
<contract-sponsor id="cn001">China Postdoctoral Science Foundation<named-content content-type="fundref-id">10.13039/501100002858</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="11"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="12"/>
<word-count count="4253"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Megafauna</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Sea turtles rely on suitable beaches for reproduction (<xref ref-type="bibr" rid="B25">Miller, 1989</xref>), and they exhibit high fidelity to their birth beaches (<xref ref-type="bibr" rid="B1">Ackerman, 1997</xref>). Adult female sea turtles return to their birth beaches to nest, yet they are highly sensitive to environmental changes in their nesting grounds (<xref ref-type="bibr" rid="B29">Rumaida et&#xa0;al., 2021</xref>). Nesting beaches for sea turtles face severe erosion worldwide (<xref ref-type="bibr" rid="B21">Maneja et&#xa0;al., 2021</xref>), with diminished historical nesting grounds and the remaining beach areas at risk of further loss due to human activity (<xref ref-type="bibr" rid="B24">McClenachan et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B17">Liles et&#xa0;al., 2015</xref>). The reduction in suitable nesting beaches could negatively affect the stability of sea turtle populations (<xref ref-type="bibr" rid="B21">Maneja et&#xa0;al., 2021</xref>).</p>
<p>The loss or degradation of nesting grounds is currently the greatest threat to sea turtles (<xref ref-type="bibr" rid="B13">Jensen et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B37">Venter et&#xa0;al., 2016</xref>). Environmental changes, including short- and long-term sea level rise, increased intensity and frequency of typhoons, and water flow induced by tides and waves, lead to beach morphological changes and erosion (<xref ref-type="bibr" rid="B21">Maneja et&#xa0;al., 2021</xref>), thereby adversely affecting the critical nesting efforts of sea turtles (<xref ref-type="bibr" rid="B36">Veelenturf et&#xa0;al., 2020</xref>). The availability of suitable nesting beaches is predicted to decrease, particularly on small islands, because of rising sea levels (<xref ref-type="bibr" rid="B6">Fish et&#xa0;al., 2005</xref>). The enhanced frequency and intensity of typhoons have also been reported to increase the loss of nesting beaches and decrease the success of hatching and emergence (<xref ref-type="bibr" rid="B8">Fuentes et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B26">Poloczanska et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B10">Fujisaki et&#xa0;al., 2018</xref>).</p>
<p>Protecting nesting grounds is an important and effective conservation strategy for wild green turtles (<xref ref-type="bibr" rid="B32">Serafini et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B29">Rumaida et&#xa0;al., 2021</xref>). Concurrent conservation and restoration studies support the development of management strategies to maximize local green turtle reproductive potential. They also aid in determining the availability of suitable nesting areas for green turtles under potential spatiotemporal changes caused by global climate change and island development (<xref ref-type="bibr" rid="B29">Rumaida et&#xa0;al., 2021</xref>). For instance, owing to effective conservation efforts over the past 20&#x2013;30 years, breeding populations and nest numbers of green turtles in Japan, Australia, Hawaii, Florida, Costa Rica, and Ascension Island (an affiliated island of Saint Helena in the South Pacific) have steadily increased (<xref ref-type="bibr" rid="B4">Chaloupka et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B39">Weber et&#xa0;al., 2014</xref>).</p>
<p>The Xisha Islands in the South China Sea are currently China&#x2019;s largest nesting grounds for green sea turtles, having ecological characteristics that provide natural, functional, and suitable areas for green turtle nesting activities (<xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2024</xref>). Previous ecological and molecular biology studies showed that green sea turtles breeding on the Xisha Islands have formed a new geographic population with unique conservation importance (<xref ref-type="bibr" rid="B11">Gaillard et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Li et&#xa0;al., 2023</xref>). However, basic information, such as the threatening factors and habitat conditions of green turtle nesting grounds on the Xisha Islands, remains scarce. In this study, we aimed to determine the spatiotemporal distribution of green turtle nests on the Xisha Islands. To this end, we conducted field surveys and used satellite image mapping to assess changes in the nesting ground areas of green turtles on North Island of the Xisha Islands from 2019 to 2022. We also assessed the effects of coastal erosion and typhoons on green turtle reproduction. Our findings elucidate the variation trends of and threats faced by the green turtle nesting grounds on the Xisha Islands. Based on our results, we provided specific recommendations for sea turtle nesting ground management and conservation.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area</title>
<p>North Island is located in the northern region of the Xisha Islands. It is long and narrow, running northwest to southeast, with an area of approximately 0.4 km<sup>2</sup> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The Xisha Sea has a high temperature year-round, with an annual average air temperature of 26&#x2013;27&#xb0;C and an annual average relative humidity of approximately 81%. In summer, the sea current flows northeast, while in winter, it flows southwest. The sea water temperature is generally high and relatively uniform, with an annual average surface sea water temperature of 27.5&#xb0;C and annual surface sea salinity of 33.6 &#x2030; (<xref ref-type="bibr" rid="B43">Ye, 1996</xref>; <xref ref-type="bibr" rid="B45">Zhao et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2024</xref>). North Island is also known as &#x201c;Sea Turtle Island,&#x201d; as sea turtles frequently come ashore to lay eggs, with the number of sea turtle nests accounting for 37% of the total on the Xisha Islands in recent years (<xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2024</xref>). However, green turtle nesting beaches on North Island are exposed to extreme climatic conditions, such as high summer temperatures (<xref ref-type="bibr" rid="B19">Luo et&#xa0;al., 2018</xref>) and intense seasonal winds (<xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2012</xref>). These conditions can affect the characteristics of nesting beaches, leading to low sand moisture content, high temperatures, increased salinity, inundation by seawater, and beach erosion. During the southwest monsoon season, which is the peak season for sea turtle nesting, the prevailing wind is southwest, with an average wind force of 4&#x2013;6 m/s. During the northeast monsoon season, the prevailing wind is northeast, with an average wind force of 6&#x2013;9 m/s. During tropical cyclones, the prevailing wind direction is southwest, with an average wind force of 6&#x2013;7 m/s (<xref ref-type="bibr" rid="B43">Ye, 1996</xref>; <xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2024</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of the study area.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Temporal and spatial distribution of green turtle nesting grounds</title>
<p>We conducted nighttime (19:00&#x2013;2:00) and subsequent daytime (7:00&#x2013;8:00) patrols and marked all confirmed green turtle nesting grounds with tags (including laying dates and nest numbers). The coordinates of the nests were recorded using a handheld GPS device (ZL-188; ZL Electronic Technology, Beijing, China), and a nest distribution map was created. Kernel density estimation was used for recording the nests. Using ArcGIS 10.4.1 software and its Spatial Analyst<sup>&#xae;</sup> extension (<xref ref-type="bibr" rid="B33">Silva et&#xa0;al., 2020</xref>), nesting grounds and the distances between them were calculated based on the total number per km&#xb2; and previous counts.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Island morphological and area changes</title>
<p>Combining satellite imagery with traditional ground surveys allows for a more comprehensive and accurate observation of island morphological changes (<xref ref-type="bibr" rid="B3">Casale and Ceriani, 2019</xref>). Ten fixed benchmarks were selected as the monitoring points on North Island of Qilianyu (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Measurements of beach width, slope, grain size, the presence of scarps, and reef flats were conducted every three months from 2018 to 2022. Remote sensing satellite images and ArgGIS analysis were used to statistically analyze the dynamic changes in nesting beach width, slope, area, and morphology over different years during the same period and in different quarters within the same year. Continuous monitoring of beach morphology was conducted on the southwest- and northwest-facing beaches of North Island in May, July, September, and November 2021 and March 2022 to observe monthly trends in nesting site morphology in these areas.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Topography and monitoring sites on North Island.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g002.tif"/>
</fig>
<p>Surveys were conducted before and after Typhoon Sinlaku in September 2020, Typhoon Cempaka in July 2021, Typhoon Chaba in 2022, and Typhoon Noru in 2022 to assess the impact of storm surges on green turtle nests.</p>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Beach slope</title>
<p>Emery&#x2019;s survey method (<xref ref-type="bibr" rid="B5">Emery, 1961</xref>) was employed to measure the slope of the beach from the nesting point to the lowest tide point, using a leveling device.</p>
<p>Using field-recorded beach profile data, the cumulative vertical elevation (y-axis) was plotted as a function of the cumulative horizontal position (x-axis) to reveal the actual beach profile. The slope (%) was calculated by dividing the difference in elevation between two adjacent points by the difference in horizontal distance between these points.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Beach sand characteristics</title>
<p>Samples of beach sands were collected from various monitoring points. The dried samples were sieved using a standard series of seven mesh sizes (4.0, 2.0, 1.0, 0.425, 0.250, 0.125, and 0.063 mm) (OLOEY; Hai Chuang Instruments Co., Ltd., China) using a vibrating sieve (CHENGJIA Hai Chuang Instruments Co., Ltd., China). Materials coarser than 4 &#x3a6; (phi) (&gt; 63 &#x3bc;m, sand fraction) were analyzed at &#x3a6; intervals (&#x2212; 2 to 4 &#x3a6;), while samples smaller than 63 &#x3bc;m were analyzed using liquid displacement. The sand retained on each sieve and the silt and clay analyzed using a pipette were dried again and weighed (&#xb1; 0.01 g) to determine their mass fractions relative to the total mass. Data were described using the Wentworth Scale to classify sand composition on the nesting beaches (<xref ref-type="bibr" rid="B40">Wentworth, 1922</xref>), dividing sand grains by size into: pebbles (&gt; 4 mm); granules (2&#x2013;4 mm); very coarse sand (1&#x2013;2 mm); coarse sand (0.425&#x2013;1 mm); medium sand (0.250&#x2013;0.425 mm); fine sand (0.125&#x2013;0.250 mm); very fine sand (0.063&#x2013;&#x2212;0.125 mm); and clay (&lt; 0.063 mm).</p>
<p>
<xref ref-type="bibr" rid="B44">Zhang et&#xa0;al. (2024)</xref> indicated that green turtles tend to prefer coarse (0.425&#x2013;1 mm) and medium (0.250&#x2013;0.425 mm) sand for nesting. Therefore, the proportions of coarse (0.425&#x2013;1 mm) and medium (0.250&#x2013;0.425 mm) sand at different monitoring points were used to assess variations in nesting beach sand grain sizes.</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data analysis</title>
<p>All data were tested for normal distribution and homogeneity of variance prior to statistical analysis. Descriptive statistics, including the mean, maximum, minimum, and standard deviation, were used to report the slope of the monitoring points, and the coefficient of variation was used to report the change in the beach slope. Pearson&#x2019;s correlation test was used to analyze the changing trend of beach area from 2019 to 2022 and to determine the relationship between the beach area of the west end of North Island and the percentage of green turtle nests. The relevant data are shown as mean &#xb1; standard deviation. A significance level of <italic>P</italic> &lt; 0.05 was considered statistically significant according to the two-tailed test. All statistical analyses were performed using SPSS 19.0 (IBM Corp., USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Distribution of green turtle nests on North Island</title>
<p>The nest kernel density distribution of green turtles on North Island from 2016 to 2022 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) showed an extremely high use ratio of nesting grounds by green turtles, with nesting grounds distributed extensively along the island&#x2019;s circumferential beaches. Nesting grounds were concentrated mainly on the southern, southwestern, and northwestern sides of North Island, with the highest nesting kernel density observed on the southwestern side.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Estimated distribution of nest kernel density of green turtles on North Island from 2016 to 2022.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g003.tif"/>
</fig>
<p>From 2021 to 2022, 165 green turtle nests were located on North Island (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>). The analysis revealed that in 2021, nests were relatively scattered, with fewer nests compared to 2022 in the southwestern region, where the core density of green turtle nests was highest. In 2022, there was an increase in the nest number on the southern and northern sides of North Island, while the southwestern region (where the highest core density of green turtle nest) had few nests.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Nest distribution of green turtles on North Island, Qilianyu from 2021 to 2022. <bold>(A)</bold> January to September 2021 (n = 40); <bold>(B)</bold> January to September 2022 (n = 125).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g004.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Island morphological and area changes</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Annual dynamic changes in nesting ground morphology</title>
<p>From 2020 to 2022, the beach area of North Island decreased, but not significantly (r = -0.30, <italic>P</italic> = 0.71). In 2022, it decreased by 11,800 m<sup>2</sup> compared to the area in 2020, accounting for 24.39% of the area in 2020 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). However, the reduced area was mainly located on the western side of North Island (r = -0.71, <italic>P</italic> = 0.29), and the beach area on the northern side increased significantly (r = 0.99, <italic>P</italic> = 0.002) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Furthermore, the proportion of nests on the western side out of the total number on the island also declined from 38.89% to 12.00%. This changing trend was consistent with that of the beach area on the western side of North Island (r = 0.94, <italic>P</italic> = 0.058) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The beach area of North Island from 2019 to 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">2019</th>
<th valign="middle" align="left">2020</th>
<th valign="middle" align="left">2021</th>
<th valign="middle" align="left">2022</th>
<th valign="middle" align="left">Pearson&#x2019;s correlation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Beach area of south side (m<sup>2</sup>)</bold>
</td>
<td valign="top" align="left">7586.64</td>
<td valign="top" align="left">11860.99</td>
<td valign="top" align="left">10227.59</td>
<td valign="top" align="left">8871.61</td>
<td valign="top" align="left">r =0.16, <italic>P</italic> = 0.84</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Beach area of north side (m<sup>2</sup>)</bold>
</td>
<td valign="top" align="left">17493.38</td>
<td valign="top" align="left">18708.07</td>
<td valign="top" align="left">19562.08</td>
<td valign="top" align="left">20681.67</td>
<td valign="top" align="left">r = 0.99, <italic>P</italic> = 0.002</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Beach area of west end side (m<sup>2</sup>)</bold>
</td>
<td valign="top" align="left">13315.60</td>
<td valign="top" align="left">17805.10</td>
<td valign="top" align="left">12174.99</td>
<td valign="top" align="left">7020.91</td>
<td valign="top" align="left">r = -0.71, <italic>P</italic> = 0.29</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Total beach area (m<sup>2</sup>)</bold>
</td>
<td valign="top" align="left">38395.62</td>
<td valign="top" align="left">48374.16</td>
<td valign="top" align="left">41964.66</td>
<td valign="top" align="left">36574.19</td>
<td valign="top" align="left">r = -0.30, <italic>P</italic> = 0.71</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Change in total beach area (m<sup>2</sup>)</bold>
</td>
<td valign="top" align="left">/</td>
<td valign="top" align="left">+ 9979.54</td>
<td valign="top" align="left">- 6409.5</td>
<td valign="top" align="left">-5390.47</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Distribution of and changes in the coastline of North Island, Qilianyu in July from 2019 to 2022.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g005.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlation between area and the percentage of nests at west end (southwest and northwest).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Year</th>
<th valign="middle" align="left">Areas of west end (m<sup>2</sup>)</th>
<th valign="middle" align="left">Percentage of green turtle nests (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">13315.6</td>
<td valign="top" align="left">34.88</td>
</tr>
<tr>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">17805.1</td>
<td valign="top" align="left">38.89</td>
</tr>
<tr>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">12174.99</td>
<td valign="top" align="left">22.50</td>
</tr>
<tr>
<td valign="top" align="left">2022</td>
<td valign="top" align="left">7020.91</td>
<td valign="top" align="left">12.00</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Pearson&#x2019;s correlation</td>
<td valign="top" align="left">r = 0.94, <italic>P</italic> = 0.058</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Monthly dynamics of nesting ground morphology</title>
<p>The morphology of the beaches on the western side of North Island varied widely across different months (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). From July to September, sand gradually accumulated on the northwestern beaches of North Island, covering reef rocks and providing nesting areas for green turtles. However, from September to March of the following year, reef rocks were extensively exposed, with heights ranging from 30 cm to 50 cm, preventing green turtles from crossing these rocks to nest on the beaches.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Dynamic changes in beach morphology at the southwestern and northwestern corners of North Island, Qilianyu in different months of 2020. <bold>(A)</bold> Northwestern North Island in July 2021; <bold>(B)</bold> Northwestern North Island in November 2021.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g006.tif"/>
</fig>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Slope of nesting grounds</title>
<p>From 2019 to 2022, the overall slope of the beaches on North Island was relatively uniform, ranging of average slope from 8% to 14%, except at Point 5 (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). The coefficient of variation of the slope at Points 1, 2, 8, and 9 was &lt; 10%, indicating that the slope changes at these monitoring points were very small. However, Points 4 and 7 on the southwestern and northwestern sides of North Island exhibited pronounced slope variations (coefficient of variation &gt; 50%) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). In some cases, these variations formed very steep scarps, preventing green turtles from climbing up to the nesting site. For instance, the beach scarp at Point 7 in 2022 (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>) reduced the available nesting areas for green turtles.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Slope variation map of the monitoring sites on North Island, Qilianyu from 2019 to 2022. Empty red circles indicate average values.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g007.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Average slope of ten monitoring points on North Island, Qilianyu from 2019 to 2022.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Points</th>
<th valign="middle" align="left">Range</th>
<th valign="middle" align="left">Mean &#xb1; SD</th>
<th valign="middle" align="left">CV (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Point 1</td>
<td valign="bottom" align="left">11.06 &#x2013; 13.70</td>
<td valign="top" align="left">12.18 &#xb1; 0.96</td>
<td valign="middle" align="left">7.89</td>
</tr>
<tr>
<td valign="middle" align="left">Point 2</td>
<td valign="top" align="left">13.11 &#x2013; 15.43</td>
<td valign="top" align="left">14.26 &#xb1; 0.96</td>
<td valign="middle" align="left">6.72</td>
</tr>
<tr>
<td valign="middle" align="left">Point 3</td>
<td valign="top" align="left">7.77 &#x2013; 12.31</td>
<td valign="top" align="left">9.74 &#xb1; 1.64</td>
<td valign="middle" align="left">16.85</td>
</tr>
<tr>
<td valign="middle" align="left">Point 4</td>
<td valign="top" align="left">4.45 &#x2013; 13.60</td>
<td valign="top" align="left">8.05 &#xb1; 4.24</td>
<td valign="middle" align="left">52.65</td>
</tr>
<tr>
<td valign="middle" align="left">Point 5</td>
<td valign="top" align="left">2.47 &#x2013; 5.59</td>
<td valign="top" align="left">4.63 &#xb1; 1.10</td>
<td valign="middle" align="left">23.85</td>
</tr>
<tr>
<td valign="middle" align="left">Point 6</td>
<td valign="top" align="left">10.03 &#x2013; 17.14</td>
<td valign="top" align="left">12.56 &#xb1; 2.52</td>
<td valign="middle" align="left">20.12</td>
</tr>
<tr>
<td valign="middle" align="left">Point 7</td>
<td valign="top" align="left">3.39 &#x2013; 14.44</td>
<td valign="top" align="left">7.87 &#xb1; 4.09</td>
<td valign="middle" align="left">51.98</td>
</tr>
<tr>
<td valign="middle" align="left">Point 8</td>
<td valign="top" align="left">11.34 &#x2013; 14.48</td>
<td valign="top" align="left">12.83 &#xb1; 1.21</td>
<td valign="middle" align="left">9.40</td>
</tr>
<tr>
<td valign="middle" align="left">Point 9</td>
<td valign="top" align="left">13.08 &#x2013; 15.25</td>
<td valign="top" align="left">14.13 &#xb1; 0.99</td>
<td valign="middle" align="left">7.03</td>
</tr>
<tr>
<td valign="middle" align="left">Point 10</td>
<td valign="top" align="left">9.46 &#x2013; 12.77</td>
<td valign="top" align="left">10.77 &#xb1; 1.38</td>
<td valign="middle" align="left">12.82</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Sandy beach vertical scarp in the southwestern corner (between monitoring Point 6 and 7) of North Island in 2022; the green turtle was forced to return to the sea.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g008.tif"/>
</fig>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Sand grain size of nesting beaches</title>
<p>The proportions of coarse and medium sands at most monitoring points remained relatively stable, each above 70%, from 2020 to 2022. However, Points 1, 2, and 3 exhibited a decreasing trend in the annual proportions of coarse and medium sands. Point 10 (located in northern North Island near residential areas) had approximately 60% pebbles (&gt; 4 mm), with proportions of coarse (0.425&#x2013;1 mm) and medium (0.250&#x2013;0.425 mm) sand below 20%. This type of sand is not suitable for green turtle nesting, and no green turtle nest sites were observed at this location from 2020 to 2022 (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Variation trends of coarse and medium sand (particle size range: 0.250&#x2013;1 mm) at different monitoring sites on North Island, Qilianyu.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g009.tif"/>
</fig>
</sec>
<sec id="s3_2_5">
<label>3.2.5</label>
<title>Effects of typhoons on green turtle nests</title>
<p>The peak period for green turtle nesting on North Island coincides with the typhoon season in the South China Sea. During Typhoon &#x201c;Sinlaku&#x201d; on September 2020, nests within 20.7 m from the coastline were submerged by seawater, with Nest No. 91 buried under sand up to 78 cm deep (<xref ref-type="fig" rid="f10">
<bold>Figures&#xa0;10</bold>
</xref>, <xref ref-type="fig" rid="f11">
<bold>11</bold>
</xref>). Investigations during Typhoon &#x201c;Cempaka&#x201d; in July 2021 revealed that nests within 20.1 m from the coastline were submerged, and 6 of the 14 hatching nests on North Island were submerged, resulting in a high loss rate of 42.9%.</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Nest No. 91 was deeply buried due to Typhoon &#x201c;Sinlaku&#x201d; in 2020. <bold>(A)</bold> Pre-typhoon; <bold>(B)</bold> Post-typhoon.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g010.tif"/>
</fig>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Impact of typhoon on the southwestern corner beach of North Island. <bold>(A)</bold> Normal weather; <bold>(B)</bold> Typhoon &#x201c;Sinlaku&#x201d; in 2020.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1470777-g011.tif"/>
</fig>
<p>In 2022, during Typhoon No. 3 &#x201c;Chaba&#x201d; and Typhoon No. 16 &#x201c;Noru,&#x201d; the high tide level rose by more than 6 m. Nests with a distance from the high tide line of less than 6 m were submerged by seawater. Sixteen green turtle nests were soaked during these two typhoons (loss rate of 27.59%), resulting in the failed development and reproduction of green turtles (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Mean distance from green turtle nests to high water line during typhoon.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">No.</th>
<th valign="middle" rowspan="2" align="left">Name of the typhoon</th>
<th valign="middle" rowspan="2" align="left">N</th>
<th valign="middle" colspan="2" align="left">Mean &#xb1; SD (m)</th>
</tr>
<tr>
<th valign="middle" align="left">Pre-typhoon</th>
<th valign="middle" align="left">Post-typhoon</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">Typhoon No. 3 (Chaba)</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">9.30 &#xb1; 2.83</td>
<td valign="middle" align="left">3.25 &#xb1; 2.01</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">Typhoon No. 16 (Noru)</td>
<td valign="middle" align="left">34</td>
<td valign="middle" align="left">9.92 &#xb1; 3.76</td>
<td valign="middle" align="left">3.34 &#xb1; 3.77</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In summary, the average loss rate of green turtle nests monitored from 2021 to 2022 owing to typhoon impacts was 35.25%.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Nest site selection and distribution have substantial biological implications for sea turtle reproductive success (<xref ref-type="bibr" rid="B28">Resetarits, 1996</xref>). North Island has the largest number of green turtle nests in the Xisha Islands each year (<xref ref-type="bibr" rid="B44">Zhang et&#xa0;al., 2024</xref>). Turtle nests were mainly concentrated on the southern, southwestern, and northwestern sides of North Island. Although a beach slope is necessary for protecting nests from tidal impacts (<xref ref-type="bibr" rid="B6">Fish et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B9">Fuentes et&#xa0;al., 2010</xref>), <xref ref-type="bibr" rid="B22">Maurer and Johnson (2017)</xref> found that steep slopes can adversely affect sea turtle nesting. Green turtles encountering steep, erosion-induced beach slopes tend to return to the sea or nest in the tidal zone (<xref ref-type="bibr" rid="B33">Silva et&#xa0;al., 2020</xref>). During 2021 and 2022, the nest core density of green turtles tended to shift southward on North Island as sea turtles selected less favorable nesting areas, such as Points 1, 2, and 3. In contrast, the southwestern area of North Island, where green turtles have historically nested most frequently, had fewer nests over time. However, the sand types on the southwestern side of North Island consisted predominantly of medium and coarse grains, meeting the green turtle nesting requirement of good sand quality. The reason that fewer nests were distributed on the southwestern side of North Island may be the steeper slopes (scarps) that formed due to erosion and typhoons in 2021, hindering nesting green turtles from accessing nesting sites (<xref ref-type="bibr" rid="B41">Wood and Bjorndal, 2000</xref>; <xref ref-type="bibr" rid="B20">Maison et&#xa0;al., 2010</xref>).</p>
<p>Natural cycles of erosion and accretion in nesting grounds are common phenomena, in which sand erodes from one area and is deposited in another. However, persistent sand loss can lead to net sediment loss on coastlines and islands, critically affecting the nesting efforts of sea turtles (<xref ref-type="bibr" rid="B36">Veelenturf et&#xa0;al., 2020</xref>). Coastal erosion can lead to the loss of suitable nesting areas for green turtles (<xref ref-type="bibr" rid="B31">Schlacher et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B27">Reece et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B10">Fujisaki et&#xa0;al., 2018</xref>). Our monitoring data indicated changes in the morphology, area, and slope of the sandbars on the southwestern and northwestern sides of North Island from November to May of the following year, resulting in reduced nesting areas and exposed reefs and causing shrinkage of turtle nesting grounds. Loss rates of nesting grounds for various sea turtle species worldwide range from 24% to 89% under different sea level rise scenarios (ranging from 0.18 m to 1.3 m) (<xref ref-type="bibr" rid="B9">Fuentes et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B15">Katselidis et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B12">Hiebert et&#xa0;al., 2017</xref>). If the sea level rises by &gt;1 m by 2100, some nesting beaches may be completely submerged (<xref ref-type="bibr" rid="B35">Turner and Batianoff, 2007</xref>), whereas others may be partially submerged. However, this reduction in available nesting areas may lead to density-related issues, such as nest infections due to increased bacterial activity between adjacent nests (<xref ref-type="bibr" rid="B7">Fish et&#xa0;al., 2008</xref>) and nest destruction by conspecifics (<xref ref-type="bibr" rid="B18">Limpus et&#xa0;al., 2003</xref>), which could reduce hatching success and affect population dynamics (<xref ref-type="bibr" rid="B9">Fuentes et&#xa0;al., 2010</xref>). Exposed reefs may also obstruct nesting turtles from accessing the beach or returning to the sea (<xref ref-type="bibr" rid="B2">Basyoni, 1999</xref>; <xref ref-type="bibr" rid="B24">McClenachan et&#xa0;al., 2006</xref>). Additionally, hatchling turtles may become trapped in crevices between beach rocks during low tides. Therefore, in the routine management of green turtle nesting beaches, patrol personnel should assist distressed or threatened nesting female green turtles in turtle conservation areas.</p>
<p>With beach erosion, changes in beach morphology pose specific threats to sea turtles as they select suitable locations for nesting (<xref ref-type="bibr" rid="B36">Veelenturf et&#xa0;al., 2020</xref>). From 2020 to 2022, green turtle nests shifted annually toward vegetated areas on North Island, possibly due to beach erosion, necessitating longer crawls to prevent nest inundation by seawater (<xref ref-type="bibr" rid="B34">Stokes et&#xa0;al., 2024</xref>). Sea water rise during typhoons put nests near the tidal line at risk of flooding and erosion (<xref ref-type="bibr" rid="B14">Kasparek et&#xa0;al., 2001</xref>). In this study, the coastal erosion caused by typhoon events resulted in changes in beach morphology and sand composition. Additionally, the rising tides submerged the green turtle nests. Previous studies have suggested that the relocation of nests at high risk of flooding is a worthwhile conservation activity (<xref ref-type="bibr" rid="B42">Yal&#xe7;&#x131;n Ozdilek, 2007</xref>; <xref ref-type="bibr" rid="B30">S&#xf6;nmez and Yal&#xe7;&#x131;n-Ozdilek, 2013</xref>). Therefore, conservation efforts during the typhoon season are crucial for the successful reproduction of sea turtles. It is recommended to conduct pre-typhoon assessments to relocate green turtle eggs in the early incubation stages from lower to higher beach areas to continue incubation. Greenhouses can be used to protect the nests in different areas of the island in the future, thereby enhancing overall hatch rates during the typhoon season and promoting sustained recovery of green turtle populations.</p>
<p>Habitat conditions play a crucial role in the nesting activities of sea turtles (<xref ref-type="bibr" rid="B29">Rumaida et&#xa0;al., 2021</xref>). Changes in beach morphology at nesting grounds affect the selection process for sea turtle nesting. To the best of our knowledge, this is the first study to monitor the morphology and area of green turtle nesting beaches on the Xisha Islands, China. Our findings highlight the impact of coastal erosion and typhoons on green turtle nesting and hatching. This study raises concerns about the vulnerability of sea turtle nesting habitats and provides guidance for the conservation and restoration of nesting grounds on the Xisha Islands. Future recommendations include continuous monitoring and expansion of the study area to other islands to comprehensively analyze the resilience of island beaches and the impact of climate change on sea turtle nesting site morphology.</p>
<p>North Island of the Xisha Islands is one of the most important nesting beaches for green turtles in China, with over 500 nests over the past five years. Therefore, protective measures are required to safeguard beaches and ensure green turtle survival. The most urgent actions are to prevent further habitat loss, especially on the southern and southwestern sides of North Island, and to restore the beach habitat. This can be addressed by protecting and restoring the dune ecosystems behind the beaches. Scientific efforts should focus on addressing the current issues facing the nesting grounds of green turtles on North Island, such as clearing large rocks and accumulated dead organic matter, providing more suitable gravel types for nesting, and conducting artificial repair of beach fractures. The relocation of green turtle nests located at low tide or the use of greenhouses during typhoons should also be implemented as part of management and rescue measures (<xref ref-type="bibr" rid="B23">Mazaris et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>In conclusion, owing to the influence of climatic factors (e.g., cycles of erosion), the shape and area of North Island have changed. The monitoring results of green turtle nesting grounds from 2021 to 2022 indicate that the beach area of North Island had a downward trend, with noticeable changes in slope. Scarps were formed in some cases, preventing turtles from reaching suitable areas for nesting. The peak nesting period of green turtles coincides with the frequent typhoon season in the South China Sea. Typhoon-induced surges can lead to the inundation of turtle eggs, thereby halting their development. Therefore, protective measures are required to safeguard beaches and ensure the survival of green sea turtles.</p>
</sec>
</body>
<back>
<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>TZ: Writing &#x2013; original draft, Methodology, Investigation, Formal Analysis, Conceptualization. CZ: Writing &#x2013; review &amp; editing, Formal Analysis. YL: Writing &#x2013; review &amp; editing. YY: Writing &#x2013; review &amp; editing, Methodology, Investigation. XA: Writing &#x2013; review &amp; editing, Investigation. YJ: Writing &#x2013; review &amp; editing, Investigation. JW: Writing &#x2013; review &amp; editing, Formal Analysis, Conceptualization. LL: Writing &#x2013; review &amp; editing, Conceptualization. H-TS: Writing &#x2013; review &amp; editing, Conceptualization.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (Grant Numbers 32471736, 32400408, 32170532, 32160135), the China Postdoctoral Science Foundation (Grant Number 2024M750703), the Hainan Science Popularisation Project (Project No. KPHD202406), and the Research Project on Education and Teaching Reform in Higher Education Institutions in Hainan Province (Project No. Hnjg-2024-47).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful to Meimei Li, Deqin Li, and Rui Huang for their assistance with sample collection, and Huaiqing Chen for his assistance with providing advice on statistical analysis.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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