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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Water</journal-id>
<journal-title-group>
<journal-title>Frontiers in Water</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Water</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2624-9375</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frwa.2026.1763707</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Variation trend of nitrogen and phosphorus in Lake Caohai, Guizhou Province, China, during 2014&#x2013;2024</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Shinong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ran</surname>
<given-names>Jingcheng</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Dan</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3133582"/>
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<aff id="aff1"><label>1</label><institution>Guizhou Province Wetland and Public Welfare Forest Protection Center</institution>, <city>Guiyang</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Guizhou Academy of Forestry</institution>, <city>Guiyang</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Guizhou Caohai Wetland Ecosystem Observation and Research Station</institution>, <city>Weining</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>College of Life Sciences, Guizhou University</institution>, <city>Guiyang</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Dan Yang, <email xlink:href="mailto:dyang5@gzu.edu.cn">dyang5@gzu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04">
<day>04</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>8</volume>
<elocation-id>1763707</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Liu, Zhang, Ran and Yang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Liu, Zhang, Ran and Yang</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Lake Caohai, a tectonic karst wetland, has been found to be contaminated with elevated nutrient levels. Understanding the long-term dynamics of nitrogen and phosphorus in Lake Caohai is essential for improving water quality. This study examined the vertical distribution of sediment-bound total nitrogen (TN) and total phosphorus (TP), along with water quality trends from 2014 to 2024. The trend of decreasing sediment-bound TN and TP with depth in Lake Caohai confirmed the anthropogenic factors. Excess sediment-bound TN in the upper layers exerts an adverse effect on the aquatic environment. Concurrent increases in waterborne NH<sub>4</sub><sup>+</sup>, and TN over the studied period showed the progressive eutrophication in Lake Caohai. Waterborne TN and NH<sub>4</sub><sup>+</sup> were slightly higher during the dry period than the abundant period, whereas the lowest water transparency occurred during the abundant period. Nitrogen and phosphorus dynamics in Lake Caohai are attributed to both external nutrient inputs and internal loading from sediments. It is essential to reduce external nutrient inflows from the Caohai watershed while also mitigating internal nutrient release from lake sediments.</p>
</abstract>
<kwd-group>
<kwd>eutrophication</kwd>
<kwd>human activities</kwd>
<kwd>Lake Caohai</kwd>
<kwd>nitrogen</kwd>
<kwd>water quality</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was funded by Guizhou Provincial Major Scientific and Technological Program (Qian Ke He Major Project No. [2024]009) and Guizhou Provincial Scientific and Technological Program (Qianke HeMS[2026]089).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="6"/>
<word-count count="3916"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Environmental Water Quality</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec1">
<title>Highlights</title>
<list list-type="bullet">
<list-item><p>Sediment-bound TN and TP decreased with depth.</p></list-item>
<list-item><p>Waterborne NH<sub>4</sub><sup>+</sup> and TN demonstrated an increasing trends from 2014 to 2024.</p></list-item>
<list-item><p>Waterborne NH<sub>4</sub><sup>+</sup> and TN were slightly higher during the dry period than the abundant period.</p></list-item>
</list>
</sec>
<sec sec-type="intro" id="sec2">
<label>1</label>
<title>Introduction</title>
<p>A closed inland lake is one that forms independently in a watershed or is located at the terminus of a river (<xref ref-type="bibr" rid="ref18">Ren et al., 2022</xref>). Unlike open lakes, closed inland lakes lack outflow channels and thus have a nearly infinite water exchange cycle, which allows pollutants from external sources to accumulate throughout the year (<xref ref-type="bibr" rid="ref18">Ren et al., 2022</xref>). Both natural and human factors contribute to the gradual shrinkage of many inland lake surface areas, leading to higher concentrations of waterborne nutrients and a deterioration of water quality (<xref ref-type="bibr" rid="ref18">Ren et al., 2022</xref>; <xref ref-type="bibr" rid="ref28">Yang X. et al., 2024</xref>).</p>
<p>Changes in sediment-bound total nitrogen (TN) and total phosphorus (TP) are key indicators of the long-term evolution of lake nutrient status (<xref ref-type="bibr" rid="ref11">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="ref15">Luo et al., 2025</xref>). Under conditions of minimal anthropogenic disturbance, sediment-bound TN and TP provide a reliable geochemical baseline for establishing natural background levels (<xref ref-type="bibr" rid="ref14">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="ref30">Yang et al., 2020</xref>). The significantly elevated sediment-bound TN and TP relative to the geochemical baseline reflected the anthropogenic nutrient enrichment (<xref ref-type="bibr" rid="ref14">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="ref32">Zhang et al., 2017</xref>; <xref ref-type="bibr" rid="ref30">Yang et al., 2020</xref>). Sediment-bound TN and TP levels were significantly higher in the fluvial mud layer than in the sandy silt interlayer (<xref ref-type="bibr" rid="ref4">Chen et al., 2026</xref>). Elevated sediment-bound TN and TP indicates that the nutrient level of the lake has increased (<xref ref-type="bibr" rid="ref30">Yang et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">Lin et al., 2023</xref>). Thus, changes in lake sediment-bound TN and TP partially reflected the combined influence of anthropogenic activities and climate change.</p>
<p>Lake Caohai, one of China&#x2019;s three plateau lakes, is undergoing rapid deterioration in water quality (<xref ref-type="bibr" rid="ref3">Chao et al., 2024</xref>; <xref ref-type="bibr" rid="ref28">Yang X. et al., 2024</xref>). Its surface area expanded from 3.18&#x202F;km<sup>2</sup> in 1972 to 23.26&#x202F;km<sup>2</sup> in 1995, after which it remained relatively stable from 1995 to 2015 (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Water level changes can be divided into three phases: a continuous rise from 1989 to 2006, minor fluctuations from 2006 to 2020, and a decline from 2020 to 2024. Considerable anthropogenic nutrient inputs, along with the decomposition of large aquatic plants and sediment resuspension caused by wind&#x2013;wave disturbances, have increased the risk of nutrient enrichment in Lake Caohai (<xref ref-type="bibr" rid="ref28">Yang X. et al., 2024</xref>). The deterioration of water quality poses serious threats to both aquatic ecosystems and human health (<xref ref-type="bibr" rid="ref6">Dong et al., 2023</xref>; <xref ref-type="bibr" rid="ref3">Chao et al., 2024</xref>; <xref ref-type="bibr" rid="ref28">Yang X. et al., 2024</xref>). The representativeness of certain monitoring datasets in Lake Caohai remains significantly limited.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Trends in surface area of Lake Caohai from 2014 to 2024.</p>
</caption>
<graphic xlink:href="frwa-08-1763707-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line chart showing surface area in square kilometers from about 1970 to 2025 with a general increase until around 2000, fluctuating peaks near 2015, and a sharp decline after 2020.</alt-text>
</graphic>
</fig>
<p>Thus, this study aims to determine (1) the accumulation of sediment-bound TN and TP in Lake Caohai and (2) the trends in water quality from 2014 to 2024.</p>
</sec>
<sec sec-type="materials|methods" id="sec3">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec4">
<label>2.1</label>
<title>Study area</title>
<p>Lake Caohai (26&#x00B0;47&#x2032;32&#x2033;&#x2013;26&#x00B0;52&#x2032;52&#x2033;) is the largest semi-enclosed urban lake in Guizhou Province, China (<xref ref-type="bibr" rid="ref6">Dong et al., 2023</xref>; <xref ref-type="bibr" rid="ref28">Yang X. et al., 2024</xref>). The region experiences distinct wet and dry periods, with rainfall concentrated in spring and summer, and dry conditions prevailing in autumn and winter (<xref ref-type="bibr" rid="ref2">Cao et al., 2016</xref>; <xref ref-type="bibr" rid="ref8">Hu et al., 2021</xref>). The lake&#x2019;s primary water source is precipitation (<xref ref-type="bibr" rid="ref8">Hu et al., 2021</xref>). Its water is relatively stagnant, with a hydraulic residence time of 85.6&#x202F;days (<xref ref-type="bibr" rid="ref2">Cao et al., 2016</xref>). On average, strong winds occur on 31&#x202F;days per year, mostly between January and April. The mean wind speed is 3.2&#x202F;m/s, with maximum speeds reaching up to 20.7&#x202F;m/s. Compared with other inland lakes, Lake Caohai is more sensitive to nitrogen levels (<xref ref-type="bibr" rid="ref9">Li et al., 2024</xref>).</p>
</sec>
<sec id="sec5">
<label>2.2</label>
<title>Data collection</title>
<p>Three sediment cores were collected from Lake Caohai using a gravity corer in November 2023. Sediment samples were dried using a Techconp FD-3-85 MP vacuum freeze drier. Total nitrogen (TN) was measured using the Kjeldahl method (<xref ref-type="bibr" rid="ref17">Ni and Wang, 2015</xref>), while total phosphorus (TP) was analyzed using the molybdenum blue method after acid digestion (<xref ref-type="bibr" rid="ref13">Liu et al., 2025</xref>).</p>
<p>Water sample were collected from the surface layer using a plexiglass sampler. Water temperature and pH were measured with a YSI multi-parameter water quality analysis system. TN was analyzed using the persulfate digestion-UV spectrophotometric method (<xref ref-type="bibr" rid="ref33">Zhang et al., 2025</xref>). Ammonium was determined by salicylate method (<xref ref-type="bibr" rid="ref33">Zhang et al., 2025</xref>), while TP was measured using the ammonium molybdate spectrophotometry (<xref ref-type="bibr" rid="ref33">Zhang et al., 2025</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results and discussion</title>
<sec id="sec7">
<label>3.1</label>
<title>Variations in sediment-bound TN and TP</title>
<p>The concentrations of TN and TP in lake sediments can partially reflect the degree of eutrophication in lake waters (<xref ref-type="bibr" rid="ref17">Ni and Wang, 2015</xref>; <xref ref-type="bibr" rid="ref24">Wu et al., 2018</xref>; <xref ref-type="bibr" rid="ref10">Lin et al., 2019</xref>). In general, the more eutrophic a lake is, the higher the levels of TN and TP in its sediments (<xref ref-type="bibr" rid="ref17">Ni and Wang, 2015</xref>; <xref ref-type="bibr" rid="ref24">Wu et al., 2018</xref>; <xref ref-type="bibr" rid="ref10">Lin et al., 2019</xref>). Increased nutrient inputs accelerate the accumulation of TN and TP in lake sediments (<xref ref-type="bibr" rid="ref17">Ni and Wang, 2015</xref>; <xref ref-type="bibr" rid="ref24">Wu et al., 2018</xref>; <xref ref-type="bibr" rid="ref10">Lin et al., 2019</xref>). In eutrophic Lake Caohai, a highly significant positive correlation was observed between TN and TP (<italic>R</italic><sup>2</sup>&#x202F;=&#x202F;0.61&#x2013;0.89, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Sediment-bound TN and TP tended to increase toward the sediment&#x2013;water interface (<xref ref-type="fig" rid="fig2">Figures 2a</xref>,<xref ref-type="fig" rid="fig2">b</xref>). Sediment-bound TN, in the upper sediment layers, were at or above 4.8&#x202F;g&#x202F;kg<sup>&#x2212;1</sup> (<xref ref-type="fig" rid="fig2">Figure 2a</xref>), the elevated sediment-bound TN in Lake Caohai may pose risks to water quality and threaten the survival of sensitive aquatic organisms. Compared with other eutrophic lakes&#x2014;such as Dianchi Lake (<xref ref-type="bibr" rid="ref24">Wu et al., 2018</xref>), Erhai Lake (<xref ref-type="bibr" rid="ref17">Ni and Wang, 2015</xref>), Yangcheng Lake (<xref ref-type="bibr" rid="ref21">Su et al., 2022</xref>), Honghu Lake (<xref ref-type="bibr" rid="ref13">Liu et al., 2025</xref>) and Hangzhou West Lake (<xref ref-type="bibr" rid="ref10">Lin et al., 2019</xref>), and West Lake in Hangzhou (<xref ref-type="bibr" rid="ref10">Lin et al., 2019</xref>)&#x2014;sediment-bound TN in Lake Caohai is exceptionally high, whereas sediment-bound TP is relatively low. This indicates that the nitrogen load of Lake Caohai is sensitive to the anthropogenic activities.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Distribution of sediment-bound TN <bold>(a)</bold> and TP <bold>(b)</bold>, and monthly variation of strong winds <bold>(c)</bold>, and precipitation <bold>(d)</bold>.</p>
</caption>
<graphic xlink:href="frwa-08-1763707-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Figure contains four panels: (a) a line chart showing total nitrogen by core depth for three sediment cores, (b) a line chart showing total phosphorus by core depth for the same cores, (c) a bar chart showing average storage wash days per month, and (d) a bar chart showing monthly precipitation in millimeters, both with error bars.</alt-text>
</graphic>
</fig>
<p>In eutrophic Lake Caohai, government agencies and relevant departments have implemented extensive measures to reduce external nutrient loading (<xref ref-type="bibr" rid="ref27">Yan et al., 2023</xref>). The abundance of TN and TP in overlying water were consistently lower than those in sediment pore water (<xref ref-type="bibr" rid="ref31">Yu et al., 2022</xref>). The total exchangeable nitrogen constitutes the main components of TN in lake sediment (<xref ref-type="bibr" rid="ref25">Wu et al., 2019</xref>), the lake sediment-bound nitrogen and phosphorus, during the dry period, shows the release characteristics of &#x201C;source&#x201D; (<xref ref-type="bibr" rid="ref7">Han et al., 2017</xref>; <xref ref-type="bibr" rid="ref31">Yu et al., 2022</xref>; <xref ref-type="bibr" rid="ref35">Zheng et al., 2023</xref>), sediment-bound nitrogen and phosphorus release can exacerbate internal loading to some extent (<xref ref-type="bibr" rid="ref27">Yan et al., 2023</xref>). Moreover, the release of sediment-bound nitrogen and phosphorus is considerably increased with rising pH under weakly to strongly alkaline conditions (<xref ref-type="bibr" rid="ref12">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="ref34">Zhao et al., 2022</xref>). The slightly higher water pH in Lake Caohai is associated with the presence of carbonate and bicarbonate ions originating from abundant calcite and dolomite (<xref ref-type="bibr" rid="ref8">Hu et al., 2021</xref>). Phytoplankton photosynthesis in surface waters reduces bicarbonate concentrations, thereby increasing water alkalinity (<xref ref-type="bibr" rid="ref8">Hu et al., 2021</xref>; <xref ref-type="bibr" rid="ref9">Li et al., 2024</xref>). The alkalinity of the water environment, limited aquatic plants (<xref ref-type="bibr" rid="ref6">Dong et al., 2023</xref>), and high-intensity wind disturbance (<xref ref-type="bibr" rid="ref23">Tong et al., 2019</xref>) in Lake Caohai facilitate the release of nutrients from sediments, thereby increasing waterborne nitrogen and phosphorus concentrations.</p>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>Variations in water-bound nitrogen and phosphorus</title>
<p>The concentrations of nitrogen and phosphorus compounds in lake waters can partially reflect their sources (<xref ref-type="bibr" rid="ref23">Tong et al., 2019</xref>). Ammonium concentrations are lowest, nitrate concentrations are highest, and nitrification activity peaks at intermediate temperatures (15&#x202F;&#x00B0;C&#x2013;25&#x202F;&#x00B0;C) (<xref ref-type="bibr" rid="ref1">Barkow et al., 2020</xref>). The relatively lower water temperatures during the dry period (<xref ref-type="fig" rid="fig3">Figure 3a</xref>) inhibit the activity of nitrifying bacteria. Meanwhile, strong winds in the dry period (<xref ref-type="fig" rid="fig2">Figure 2c</xref>) promote the release of ammonium from sediments (<xref ref-type="bibr" rid="ref5">Ding et al., 2018</xref>; <xref ref-type="bibr" rid="ref23">Tong et al., 2019</xref>). Additionally, the die-off of large numbers of aquatic plants during the dry period leads to decomposition, which further increases waterborne nitrogen and phosphorus concentrations (<xref ref-type="bibr" rid="ref29">Yang R. et al., 2024</xref>). These results partially explain why waterborne ammonium concentrations were slightly higher during the dry period (<xref ref-type="fig" rid="fig4">Figure 4b</xref>). Continuous heavy precipitation in the wet period (<xref ref-type="fig" rid="fig2">Figure 2d</xref>) facilitates the transference of accumulated nitrogen and phosphorus from soils into the water column via soil erosion, leading to marked increases in waterborne TN and TP (<xref ref-type="bibr" rid="ref23">Tong et al., 2019</xref>; <xref ref-type="bibr" rid="ref21">Su et al., 2022</xref>). Both waterborne TN (<xref ref-type="fig" rid="fig4">Figure 4a</xref>) and NH<sub>4</sub><sup>+</sup> (<xref ref-type="fig" rid="fig4">Figure 4b</xref>) were considerably higher in the wet period compared with the dry period. Similar seasonal patterns of elevated waterborne nitrogen have also been observed in Yangcheng Lake (<xref ref-type="bibr" rid="ref21">Su et al., 2022</xref>), Yilong Lake (<xref ref-type="bibr" rid="ref29">Yang R. et al., 2024</xref>), and Dianchi Lake (<xref ref-type="bibr" rid="ref20">Shen et al., 2024</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Monthly variation of temperature <bold>(a)</bold> and annually variation of water transparency <bold>(b)</bold>, TN, NH<sub>4</sub><sup>+</sup> <bold>(c)</bold>, and NO<sub>3</sub><sup>&#x2212;</sup>, TP <bold>(d)</bold> from 2014 to 2024.</p>
</caption>
<graphic xlink:href="frwa-08-1763707-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Panel (a) shows a line graph of temperature in degrees Celsius versus months, with a peak around month eight and lowest values at months one and twelve. Panel (b) presents a grouped bar chart comparing water transparency between dry and abundant periods from 2014 to 2024, showing a general decline over time. Panel (c) displays a grouped bar chart of total nitrogen (TN) and ammonium (NH4+) concentrations from 2014 to 2024, with values rising significantly after 2020. Panel (d) features a grouped bar chart of total phosphorus (TP) and nitrate (NO3-) concentrations from 2014 to 2024, both showing fluctuations with an increase after 2020.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Trends in TN <bold>(a)</bold>, NH<sub>4</sub><sup>+</sup> <bold>(b)</bold>, NO<sub>3</sub><sup>&#x2212;</sup> <bold>(c)</bold>, and TP <bold>(d)</bold> of different periods from 2014 to 2024.</p>
</caption>
<graphic xlink:href="frwa-08-1763707-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four grouped bar charts comparing dry and abundant periods from 2014 to 2024 for river nutrient concentrations: (a) total nitrogen, (b) ammonium, (c) nitrate, and (d) total phosphorus, with trends and yearly values indicated.</alt-text>
</graphic>
</fig>
<p>Elevated ammonium levels are typically associated with human and animal excreta and domestic sewage (<xref ref-type="bibr" rid="ref13">Liu et al., 2025</xref>), whereas nitrate enrichment is associated with strong nitrification in lake water (<xref ref-type="bibr" rid="ref2">Cao et al., 2016</xref>). Observed ammonium concentrations (<xref ref-type="fig" rid="fig3">Figures 3c</xref>, <xref ref-type="fig" rid="fig4">4b</xref>) exceeded the recommended freshwater limit of 0.025&#x202F;mg/L (<xref ref-type="bibr" rid="ref22">Tang et al., 2015</xref>), while nitrate (<xref ref-type="fig" rid="fig3">Figures 3d</xref>, <xref ref-type="fig" rid="fig4">4c</xref>) remained within the permissible limits of 11&#x202F;mg/L (<xref ref-type="bibr" rid="ref16">Mortada and Shokeir, 2018</xref>). Waterborne TN and TP concentrations exceeded the eutrophication thresholds (TN: 0.2&#x202F;mg/L; TP: 0.02&#x202F;mg/L), indicating that nutrient may exert a limiting effect on algal growth (<xref ref-type="bibr" rid="ref26">Xu et al., 2014</xref>). When water-bound TN and TP exceed 0.80 and 0.20&#x202F;mg/L, respectively, algal blooms are no longer limited by nitrogen and phosphorus concentrations (<xref ref-type="bibr" rid="ref26">Xu et al., 2014</xref>). The rising levels of TN, NH<sub>4</sub><sup>+</sup>, and NO<sub>3</sub><sup>&#x2212;</sup> (<xref ref-type="fig" rid="fig3">Figures 3c</xref>,<xref ref-type="fig" rid="fig3">d</xref>) are associated with intensified agriculture and increased fertilizer use in the Lake Caohai watershed. A decline in water transparency (<xref ref-type="fig" rid="fig3">Figure 3b</xref>) also implied the poor water quality of Lake Caohai. Strict control of external nutrient loading is therefore necessary.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec9">
<label>4</label>
<title>Conclusion</title>
<p>Sediment-bound TN and TP were high in Lake Caohai, and exhibited a gradual decrease with increasing depth in the sediment column. Waterborne TN, NH<sub>4</sub><sup>+</sup> and NO<sub>3</sub><sup>&#x2212;</sup> showed a progressive increase from 2014 to 2024. Waterborne TN and NH<sub>4</sub><sup>+</sup> were considerably higher during the dry period than the abundant period, whereas TP concentrations fluctuated between abundant period and dry period from 2014 to 2024. TN were the main factors controlling the high level of eutrophication. Nitrogen and phosphorus dynamics in Lake Caohai are primarily influenced by human activities and internal nutrient loading. Effective management requires strict control of both external nutrient inputs and internal nutrient release from sediments.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec10">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="sec11">
<title>Author contributions</title>
<p>SL: Writing &#x2013; original draft, Methodology, Data curation, Software. XZ: Writing &#x2013; original draft, Formal analysis, Validation, Data curation. JR: Data curation, Resources, Formal analysis, Writing &#x2013; original draft, Funding acquisition. DY: Resources, Writing &#x2013; review &#x0026; editing, Validation, Funding acquisition, Conceptualization.</p>
</sec>
<sec sec-type="COI-statement" id="sec12">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
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<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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</sec>
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<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1278414/overview">Arya Vijayanandan</ext-link>, Indian Institute of Technology Delhi, India</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2045728/overview">Renhua Yan</ext-link>, Nanjing Institute of Geography and Limnology (CAS), China</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3333364/overview">Susan N. James</ext-link>, University of Technology Bahrain, Bahrain</p></fn>
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