<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
</journal-title-group>
<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.2026.1777787</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>Cumulative impact assessment of human and environmental stressors on subtidal benthic habitats in Bohai Bay using a spatially explicit framework</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Xiao</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2907350/overview"/>
<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="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname><given-names>Xiaoxia</given-names></name>
<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="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Miao</surname><given-names>Qingsheng</given-names></name>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<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>
</contrib>
<contrib contrib-type="author">
<name><surname>Ai</surname><given-names>Yangyi</given-names></name>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<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>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname><given-names>Lu</given-names></name>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lu</surname><given-names>Wenhai</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
</contrib>
</contrib-group>
<aff id="aff1"><institution>Marine Ecology Research Division, National Marine Data and Information Service</institution>, <city>Tianjin</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Wenhai Lu, <email xlink:href="mailto:403382497@qq.com">403382497@qq.com</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>13</volume>
<elocation-id>1777787</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Hu, Miao, Ai, Yang and Lu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Hu, Miao, Ai, Yang and Lu</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>Bohai Bay, a semi-enclosed and ecologically vital bay in northern China, is increasingly threatened by multiple anthropogenic stressors and nutrient enrichment and pollution, particularly excessive nutrient enrichment (cultural eutrophication) from land-based sources (e.g., aquaculture wastewater, riverine input). This study presents a spatially explicit, pressure&#x2013;sensitivity-based framework to quantify the cumulative impacts of physical loss, physical damage, and eutrophication on subtidal benthic habitats. By integrating spatial data on human uses, eutrophication indices (E), and habitat-specific sensitivity scores, we identified significant spatial heterogeneity in ecological risks, with benthic communities in high-impact zones showing distinct shifts toward pollution-tolerant taxa and degraded ecological quality (e.g., 75% dominance of pollution-tolerant polychaetes). The infralittoral mud habitat, covering ~60% of the bay, was most affected by environmental pressure (31.96% of its area), primarily driven by eutrophication (E&gt;9 in nearshore areas), followed by physical damage (4.72%) and physical loss (0.17%). Although physical loss had a limited spatial extent, its irreversible nature poses high ecological risks. The circalittoral zone, in contrast, faced minimal physical disturbance but remained vulnerable to eutrophication. Our findings highlight the need for differentiated, spatially explicit marine management strategies, particularly for muddy infralittoral habitats where long-term pollution control (e.g., C<sub>DIN</sub> &lt; 0.5 mg/L) and habitat restoration should be prioritized. This study provides a scientific foundation for conservation planning and ecological risk mitigation in Bohai Bay and similar nutrient-enriched coastal ecosystems globally.</p>
</abstract>
<kwd-group>
<kwd>marine management</kwd>
<kwd>marine pollution</kwd>
<kwd>physical disturbance</kwd>
<kwd>seabed habitats</kwd>
<kwd>spatial heterogeneity</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the Innovation Fund Project of the National Marine Data and Information Center.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="3"/>
<ref-count count="37"/>
<page-count count="12"/>
<word-count count="5167"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Pollution</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cumulative impact assessments (CIAs) have become essential tools for evaluating the combined effects of multiple stressors on marine ecosystems, supporting evidence-based conservation and management decisions. Various spatially explicit frameworks have been developed and applied globally to integrate anthropogenic pressures with habitat sensitivity, enabling the identification of impact hotspots and guiding targeted mitigation strategies (<xref ref-type="bibr" rid="B14">Korpinen and Andersen, 2016</xref>). For instance, such approaches have been implemented in regions including the North Sea (<xref ref-type="bibr" rid="B7">Declerck et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B21">Piet et&#xa0;al., 2024</xref>), the Mediterranean (<xref ref-type="bibr" rid="B15">Kostopoulou, 2025</xref>), Black Sea (<xref ref-type="bibr" rid="B3">Bisinicu et&#xa0;al., 2024</xref>) and Yangtze River Estuary of China (<xref ref-type="bibr" rid="B36">Yang et&#xa0;al., 2024</xref>), demonstrating their broad applicability across diverse marine ecosystems. These studies highlight the utility of CIAs in informing marine spatial planning, setting conservation priorities, and designing effective ecological restoration measures. In coastal systems, such assessments are particularly critical due to the convergence of land-based pollution, physical habitat alteration, and climate-related stressors. This study applies a pressure-sensitivity-based CIA framework to Bohai Bay, a semi-enclosed shallow bay in northern China facing intense anthropogenic pressures.</p>
<p>Bohai Bay is a shallow, semi-enclosed embayment in the western Bohai Sea, serving as a critical node along the East Asian&#x2013;Australasian Flyway for migratory birds and constituting an important marine ecological barrier in northern China. The bay&#x2019;s unique biophysical setting supports a complex and productive ecosystem, historically functioning as a significant spawning and nursery ground for multiple commercially important fish species (<xref ref-type="bibr" rid="B2">Bian et&#xa0;al., 2024</xref>).</p>
<p>Rapid economic development in the surrounding region has intensified anthropogenic pressures on the bay. Large-scale coastal reclamation, oil and gas extraction, marine sand mining, and aquaculture have substantially altered seabed topography and substrate structure (<xref ref-type="bibr" rid="B17">Liu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B37">Zhang et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B19">Liu et&#xa0;al., 2025</xref>). Concurrently, significant excessive nutrient inputs from land-based sources have intensified cultural eutrophication, posing a serious threat to ecosystem health (<xref ref-type="bibr" rid="B34">Xue and Zheng, 2021</xref>). These pressures do not act in isolation but often interact cumulatively. Specifically, physical loss causes irreversible habitat destruction, physical damage leads to reversible structural degradation, and eutrophication impairs water quality, collectively challenging the ecological integrity and functional stability of Bohai Bay&#x2019;s ecosystem.</p>
<p>While previous ecological studies in Bohai Bay have provided valuable insights, they have largely focused on individual stressors&#x2014;such as the effects of reclamation on tidal flats or eutrophication on plankton communities&#x2014;and lack analysis of the synergistic mechanisms between water quality stressors (e.g., eutrophication) and physical stressors (e.g., sand mining) (<xref ref-type="bibr" rid="B19">Liu et&#xa0;al., 2025</xref>). Moreover, the ecological thresholds of key eutrophication drivers (e.g., dissolved inorganic nitrogen) and pollutants (e.g., heavy metals) driving benthic habitat degradation remain unclear, limiting the effectiveness of pollution control measures. To address these gaps, this study integrates spatial data on physical loss, physical damage, and cultural eutrophication (as a major water quality stressor) and combines them with habitat-specific sensitivity scores to quantitatively assess the cumulative impacts on subtidal seabed habitats. The findings aim to clarify the &#x201c;pollution-ecological response&#x201d; relationship, provide a scientific basis for regional marine conservation planning and pollution control, and inform the design of effective ecological restoration strategies.</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>Bohai Bay is a shallow, semi-enclosed bay in the western Bohai Sea, with an average depth of 12.5 m (<xref ref-type="bibr" rid="B27">Sun, 2006</xref>). The bay experiences a semi-diurnal tidal regime with an average tidal range of 1.5~2.5 m, which influences the extent and dynamics of intertidal and subtidal habitats. As defined by the ecological zoning scheme of <xref ref-type="bibr" rid="B12">Huang et&#xa0;al. (2023)</xref>, our study area extends from 117&#xb0;30&#x2032;to 119&#xb0;E and 37&#xb0;58&#x2032;to 39&#xb0;12&#x2032;N, covering approximately 11,000 km&#xb2; (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The bay is characterized by a gulf accumulation plain geomorphology, featuring a gently sloping seabed and a persistent counterclockwise circulation pattern that governs material transport (<xref ref-type="bibr" rid="B27">Sun, 2006</xref>). This circulation is driven in part by the inflow and gradual dilution of high-salinity waters from the northern Bohai Sea. Coastal rivers deliver substantial sediment loads, forming extensive intertidal mudflats that provide critical habitats for benthic organisms and migratory birds (<xref ref-type="bibr" rid="B5">Chan et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B11">Gu et&#xa0;al., 2020</xref>). Concurrently, the bay supports intensive human activities&#x2014;including aquaculture, port operations, shipping, sand mining, coastal reclamation, and designated waste dumping&#x2014;which collectively exert significant pressures on its subtidal habitats.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic diagram of study area.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g001.tif">
<alt-text content-type="machine-generated">Satellite image of Bohai Bay in northeastern China with an orange line marking the boundary of the Bohai Bay ecoregion. Inset map at the top right shows the bay's location within China.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Pressure types and intensity</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Quantification of physical pressure intensity</title>
<p>Physical pressures are categorized into physical loss and physical damage. Physical loss refers to the permanent transformation of one marine habitat type into another through alterations to the seabed substrate, including the introduction of artificial materials such as concrete. This type of pressure leads to the irreversible loss of the original marine habitat. Physical damage, on the other hand, includes activities that cause abrasion, penetration, and disturbance to the seabed surface and shallow layers. Unlike physical loss, physical damage is reversible and does not result in permanent habitat destruction (<xref ref-type="bibr" rid="B9">European Commission, 2020</xref>).</p>
<p>The physical pressure data used in this study were sourced from the sea area use rights database managed by China&#x2019;s Ministry of Natural Resources and the marine dumping site database managed by the Ministry of Ecology and Environment of China. This database, compiled and submitted by coastal provinces and municipalities, contains information such as the names of sea use projects, their locations, and types of sea use, provided in vector polygon format.</p>
<p>The physical pressure intensity was assessed using an expert scoring method. A panel of three experts (each with &gt;10 years of experience in marine pollution and anthropogenic impact research, including two who participated in Bohai Bay eutrophication special surveys) evaluated the pressure intensity based on factors such as the intensity, duration, frequency, and actual spatial extent of different sea use types. Inter-expert consistency was verified using the Kappa coefficient (K = 0.82, P&lt;0.01, <xref ref-type="bibr" rid="B6">Cohen, 1960</xref>), indicating high agreement. The experts assigned pressure intensity values ranging from 0 to 1, where 1 indicates the highest intensity and 0 the lowest (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). A comprehensive version of this table, including additional descriptors for each sea-use type is provided as <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Pressure intensity of different sea use types.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Pressure type</th>
<th valign="middle" align="center">Sea use type</th>
<th valign="middle" align="center">Pressure intensity (0&#x2013;1)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="center">Physical Loss</td>
<td valign="middle" align="left">Waste Disposal Land Reclamation</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="left">Construction Land Reclamation</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="left">Agricultural Land Reclamation</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" align="left">Impermeable Structures</td>
<td valign="middle" align="center">0.9</td>
</tr>
<tr>
<td valign="middle" align="left">Artificial Island Oil/Gas Extraction</td>
<td valign="middle" align="center">0.9</td>
</tr>
<tr>
<td valign="middle" rowspan="11" align="center">Physical Damage</td>
<td valign="middle" align="left">Platform Oil/Gas Extraction</td>
<td valign="middle" align="center">0.8</td>
</tr>
<tr>
<td valign="middle" align="left">Mineral Mining (e.g., Sea Sand)</td>
<td valign="middle" align="center">0.8</td>
</tr>
<tr>
<td valign="middle" align="left">Cross-Sea Bridges/Subsea Tunnels</td>
<td valign="middle" align="center">0.7</td>
</tr>
<tr>
<td valign="middle" align="left">Dumping</td>
<td valign="middle" align="center">0.7</td>
</tr>
<tr>
<td valign="middle" align="left">Permeable Structures</td>
<td valign="middle" align="center">0.6</td>
</tr>
<tr>
<td valign="middle" align="left">Enclosed Aquaculture</td>
<td valign="middle" align="center">0.6</td>
</tr>
<tr>
<td valign="middle" align="left">Designated Shipping Channels &amp; Anchorages</td>
<td valign="middle" align="center">0.5</td>
</tr>
<tr>
<td valign="middle" align="left">Open Aquaculture</td>
<td valign="middle" align="center">0.4</td>
</tr>
<tr>
<td valign="middle" align="left">Submarine Cables/Pipelines</td>
<td valign="middle" align="center">0.3</td>
</tr>
<tr>
<td valign="middle" align="left">Recreational Facilities</td>
<td valign="middle" align="center">0.3</td>
</tr>
<tr>
<td valign="middle" align="left">Bathing Beaches</td>
<td valign="middle" align="center">0.2</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Environmental pressure</title>
<p>The increase in organic matter supply (organic enrichment) is a common process in marine environments that can lead to eutrophication. This study focuses on the impact of seawater eutrophication on seabed habitats. The eutrophication status was evaluated using the Eutrophication Index (E) method (<xref ref-type="bibr" rid="B20">Ministry of Ecology and Environment of the People&#x2019;s Republic of China, 2020</xref>), with the formula as follows:</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mtext>E</mml:mtext><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mtext>C</mml:mtext><mml:mrow><mml:mtext>COD</mml:mtext></mml:mrow></mml:msub><mml:mo>&#xd7;</mml:mo><mml:msub><mml:mtext>C</mml:mtext><mml:mrow><mml:mtext>DIN</mml:mtext></mml:mrow></mml:msub><mml:mo>&#xd7;</mml:mo><mml:msub><mml:mtext>C</mml:mtext><mml:mrow><mml:mtext>DIP</mml:mtext></mml:mrow></mml:msub><mml:mo>&#xd7;</mml:mo><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mn>6</mml:mn></mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">/</mml:mo><mml:mn>4500</mml:mn></mml:mrow></mml:math>
</disp-formula>
<p>where E represents the eutrophication index, C<sub>COD</sub> denotes the chemical oxygen demand (mg/L), C<sub>DIN</sub> is the concentration of dissolved inorganic nitrogen (sum of NO<sub>2</sub>-N, NO<sub>3</sub>-N, and NH<sub>4</sub>-N, in mg/L), and C<sub>DIP</sub> indicates the concentration of dissolved inorganic phosphate (mg/L). The denominator 4500 is a normalization constant based on historical water quality thresholds in Chinese coastal waters.</p>
<p>Seawater quality monitoring data were obtained from the national &#x2018;Marine Ecological Early Warning and Monitoring&#x2019; project (2022&#x2013;2024), coordinated by the Ministry of Natural Resources of China. These integrated monitoring data are managed by the National Marine Data and Information Service. The inverse distance weighting (IDW) interpolation method was applied to assign values to 1 km &#xd7; 1 km grid cells covering the study area. A eutrophication condition was identified when E &#x2265; 1, and the corresponding environmental pressure intensity was determined based on the criteria provided in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>. It is important to note that the maximum pressure intensity for eutrophication (0.6 for E &gt; 9) was set relative to the score of 1 assigned to physical loss pressures (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>), reflecting the expert judgment that while severe eutrophication is a major stressor, its impact is considered less irreversible than permanent physical habitat destruction.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Seawater eutrophication pressure intensity.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Pressure type</th>
<th valign="middle" align="center">Eutrophication index (E)</th>
<th valign="middle" align="center">Eutrophication level</th>
<th valign="middle" align="center">Pressure intensity (0&#x2013;1)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="center">Environmental Pressure</td>
<td valign="middle" align="left">1&#x2264;E &#x2264; 3</td>
<td valign="middle" align="center">Lightly Eutrophication</td>
<td valign="middle" align="center">0.2</td>
</tr>
<tr>
<td valign="middle" align="left">3&lt;E &#x2264; 9</td>
<td valign="middle" align="center">Moderately Eutrophication</td>
<td valign="middle" align="center">0.4</td>
</tr>
<tr>
<td valign="middle" align="left">E&gt;9</td>
<td valign="middle" align="center">Heavily Eutrophication</td>
<td valign="middle" align="center">0.6</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Habitat mapping</title>
<p>In this study, the classification of benthic habitats followed a hierarchical, two-step framework adapted for Bohai Bay, which integrates the principles of the European Nature Information System (EUNIS) classification (<xref ref-type="bibr" rid="B10">European Environment Agency, 2022</xref>) with local biophysical characteristics (<xref ref-type="bibr" rid="B35">Yang et&#xa0;al., 2025</xref>).</p>
<p>First, based on tidal and light regimes, three primary zones were delineated. Littoral zone (intertidal) refers to areas alternated between exposure to air and seawater, supporting amphibious organisms that distinguish them from those found in other zones. Infralittoral zone (subtidal photic zone) refers to areas with sufficient light for photosynthesis (&#x2265;&#x2009;1% surface irradiance) (<xref ref-type="bibr" rid="B22">Radicioli et&#xa0;al., 2025</xref>), supporting photophilic organisms such as seagrass meadows (<xref ref-type="bibr" rid="B25">Sousa, 2001</xref>). Circalittoral zone (subtidal aphotic nearshore zone) refers to areas lying below the photic limit yet remaining influenced by wave energy, supporting nutrient cycling and other ecological processes. Second, each of the aforementioned zones is further classified based on substrate types.</p>
<p>The final, high-resolution spatial mapping of these habitat types across Bohai Bay was directly derived from the comprehensive seabed habitat map produced by <xref ref-type="bibr" rid="B35">Yang et&#xa0;al. (2025)</xref>. From that map, we selected the four most extensive and ecologically representative subtidal soft-sediment habitats for this cumulative impact assessment: infralittoral mud, infralittoral sand, circalittoral mud, and circalittoral sand. The spatial distribution of these four target habitats is shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Habitat types in the Bohai Bay ecoregion.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g002.tif">
<alt-text content-type="machine-generated">Satellite map with four habitat zones highlighted: yellow for infralittoral sand, magenta for infralittoral mud, light blue for circalittoral sand, and pink for circalittoral mud. Legend included in the bottom right corner.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Habitat sensitivity scoring</title>
<p>The sensitivity of the four selected benthic habitats (Section 2.3) to the three pressure types was assessed using an expert scoring method. A panel of three experts evaluated a combination of physical habitat attributes (e.g., water depth, substrate stability) and key functional traits of dominant associated fauna (e.g., mobility, feeding mode, trophic level, and physiological tolerance to hypoxia and disturbance) to assign the sensitivity scores. For instance, infralittoral mud habitats are characterized by a benthic community where sedentary, filter-feeding bivalves can constitute approximately 60% of the total biomass, based on local survey data from Bohai Bay (Ministry of Natural Resources of China's National Marine Ecological Early Warning and Monitoring Program, unpublished data). This functional group is known to be highly sensitive to eutrophication-induced hypoxia (<xref ref-type="bibr" rid="B30">Wang et&#xa0;al., 2020</xref>). In contrast, the scoring also considered that infralittoral mud communities often include pollution-tolerant, subsurface-deposit feeding polychaetes, which exhibit higher resilience to organic enrichment and physical disturbance (<xref ref-type="bibr" rid="B1">Adesakin et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B33">Xue et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B31">Wang et&#xa0;al., 2026</xref>). Similarly, for circalittoral sandy habitats, the presence of mobile echinoderms indicates a community adapted to more dynamic conditions, resulting in lower sensitivity scores to physical damage. These associations integrate site-specific biological data from Bohai Bay with well-established ecological principles regarding stressor impacts on functional traits. Scores ranged from 0 (least sensitive) to 1 (highly sensitive), with inter-expert consistency verified (CV &lt; 0.15). The final habitat-specific sensitivity scores are provided in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>. The detailed scoring records and justifications provided by each expert are documented in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material S2</bold></xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Sensitivity scores determined for each habitat category in response to the three assessed pressure types.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Habitat type</th>
<th valign="middle" align="center">Physical loss of seabed</th>
<th valign="middle" align="center">Physical damage of seabed</th>
<th valign="middle" align="center">Eutrophication</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Infralittoral mud</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">0.75</td>
</tr>
<tr>
<td valign="middle" align="center">Infralittoral sand</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">0.5</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral mud</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">0.5</td>
<td valign="middle" align="center">0.25</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral sand</td>
<td valign="middle" align="center">0.75</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.25</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Cumulative impact assessment on habitats</title>
<p>The cumulative impact on seabed habitats was quantified using a spatially explicit overlay analysis within a Geographic Information System (GIS). All spatial analyses and map production were conducted using ArcGIS Pro (version 10.8). For each pressure type <italic>i</italic> (physical loss, physical damage, environmental), a pressure-specific impact score <italic>I<sub>i</sub></italic> was calculated for every raster grid cell as the product of the normalized pressure intensity <italic>P<sub>i</sub></italic> (0-1) and the habitat sensitivity score <italic>S<sub>i</sub></italic> (0-1) assigned to the habitat present in that cell:</p>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>P</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>&#xd7;</mml:mo><mml:msub><mml:mi>S</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math>
</disp-formula>
<p>This calculation was performed across all grid cells using the Raster Calculator tool, integrating the respective pressure intensity and habitat sensitivity data layers. The pressure-specific impact scores. <italic>I<sub>i</sub> f</italic>or all pressure types were then summed to generate a single cumulative impact index <italic>CI</italic> for each cell:</p>
<disp-formula>
<mml:math display="block" id="M3"><mml:mrow><mml:mi>C</mml:mi><mml:mi>I</mml:mi><mml:mo>=</mml:mo><mml:munderover><mml:mo>&#x2211;</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:munderover></mml:mrow></mml:math>
</disp-formula>
<p>Finally, the continuous values of the cumulative impact index <italic>CI</italic> were spatially rendered using a graduated color scheme to produce a cumulative impact layer for visualization and further spatial analysis (e.g., identification of impact hotspots, 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>Cumulative impact on habitats in the Bohai Bay ecoregion. Colors represent the cumulative impact index (range: 0&#x2013;1.45), derived from the spatial overlay of physical loss, physical damage, and eutrophication pressures with habitat-specific sensitivities. Higher values (e.g., orange to red) indicate stronger cumulative impacts. The three distinct high-impact areas (outlined in orange) correspond to the seabed near (1) Caofeidian Port, (2) Tianjin Port, and (3) Huanghua Port&#x2013;Shandong coastal waters.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g003.tif">
<alt-text content-type="machine-generated">Satellite map overlaid with a color-coded legend showing values from zero to one point four five, divided by intervals. Various regions on the map are highlighted with blue, green, yellow, and red, and three rectangular sections are numbered and outlined in orange. The legend explains each color interval, with darker colors representing higher values. Geographic coordinates are marked along the borders.</alt-text>
</graphic></fig>
<p>Additionally, the habitat sensitivity scores (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>) were spatially combined with the habitat distribution map (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) using the &#x201c;Reclassify&#x201d; and &#x201c;Combine&#x201d; tools of ArcGIS Pro to generate the stressor-specific habitat sensitivity maps presented in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Habitat sensitivity to <bold>(A)</bold> physical loss, <bold>(B)</bold> physical damage, and <bold>(C)</bold> eutrophication.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g004.tif">
<alt-text content-type="machine-generated">Panel A displays a satellite map overlaid with pink and magenta zones, representing two legend values, 0.75 and 1.0, for a central coastal area. Panel B shows the same map with varying green overlays in three legend values, 0.25, 0.50, and 0.75, indicating regional data distribution. Panel C presents the map with brown, orange, and yellow overlays corresponding to legend values 0.25, 0.50, and 0.75, demonstrating another data set across the same geography. Each panel highlights a different data variable by color-coding distinct geographic regions.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Pressure mapping</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Physical pressure</title>
<p>In the Bohai Bay ecoregion, sea use exhibits diverse characteristics with spatially variable intensities. Based on the quantitative pressure intensity criteria for different sea use types outlined in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, the spatial distribution of physical pressure intensity was determined and is presented in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>. High-pressure areas are predominantly concentrated near major ports and zones of intensive coastal development, such as the regions adjacent to Caofeidian Port, Tianjin Port, and Huanghua Port.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Physical pressure in the Bohai Bay ecoregion.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g005.tif">
<alt-text content-type="machine-generated">Satellite map illustration of a coastal area shows colored polygons over water, representing categories of values from 0.1 to 1.0 by four shades of red according to the legend. A yellow line outlines a coastal boundary.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Environmental pressure</title>
<p>Environmental pressure in the Bohai Bay ecoregion is primarily manifested as eutrophication, driven by land-based pollutant discharge (e.g., aquaculture wastewater, industrial effluents). Nearshore estuarine areas (e.g., adjacent to Tianjin Port) show severe eutrophication with C<sub>DIN</sub> concentration up to 1.2 mg/L, C<sub>DIP</sub> up to 0.08 mg/L, and eutrophication index E = 12.3 (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), while open waters farther offshore have mild eutrophication (E = 1.5&#x2013;2.8). The evaluation results of eutrophication levels and spatial distribution are shown in <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>. Cross-validation of IDW (inverse distance weighting) interpolation (root mean square error, RMSE = 0.12) confirmed the reliability of spatial data.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Eutrophication level in the Bohai Bay ecoregion.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1777787-g006.tif">
<alt-text content-type="machine-generated">Satellite map of a coastal bay area shows regions of eutrophication marked in yellow for lightly eutrophic, orange for moderately eutrophic, and red for heavily eutrophic zones, with a legend in the bottom right corner.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Habitat mapping</title>
<p>Four types of subtidal seabed habitats were identified in the Bohai Bay ecoregion: infralittoral mud, infralittoral sand, circalittoral mud, and circalittoral sand, as shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>.</p>
<p>The infralittoral zone covers approximately 60% of the bay&#x2019;s total area and falls within the sunlit layer of the water column, allowing enough light penetration to sustain photosynthesis and primary productivity. This zone contains diverse substrate types, such as mud and sand. Muddy sediments are the most widespread, while sandy substrates are primarily found in the southern and northeastern regions, where stronger water movement affects sediment distribution.</p>
<p>The circalittoral zone, where minimal sunlight penetrates to the seafloor, is mainly situated in the eastern offshore regions of the bay. Muddy sediments dominate this zone, accounting for roughly 96% of its total area. The remaining 4% consists of sandy substrates, primarily concentrated in the eastern part of Bohai Bay. These sandy patches support dense populations of <italic>Amphioplus japonicus</italic> (an echinoderm).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Habitat sensitivity scoring</title>
<p>Different types of subtidal seabed habitats exhibited distinct sensitivities to various stressors, as quantified by the expert-derived sensitivity scores in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>. The spatial distribution of these sensitivity values, in response to (a) physical loss, (b) physical damage, and (c) eutrophication, are visualized in the respective habitat sensitivity maps (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). These maps highlight the geographic variation in potential vulnerability associated with each pressure type across the study area.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Cumulative impact mapping</title>
<p>The application of the spatial overlay framework (Section 2.5) yielded the cumulative impact intensity on subtidal habitats across the Bohai Bay ecoregion. The resulting cumulative impact intensity is illustrated in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>. The area and proportion of each habitat type affected by different pressures are summarized in <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref> and <xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Area and percentage of habitats under different pressure intensities.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Seabed habitat type</th>
<th valign="middle" colspan="2" align="center">0-0.35</th>
<th valign="middle" colspan="2" align="center">0.35-0.6</th>
<th valign="middle" colspan="2" align="center">0.6-0.9</th>
<th valign="middle" colspan="2" align="center">0.9-1.45</th>
</tr>
<tr>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Percentage (%)</th>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Percentage (%)</th>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Percentage (%)</th>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Percentage (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Infralittoral mud</td>
<td valign="middle" align="center">5120.3</td>
<td valign="middle" align="center">95.68</td>
<td valign="middle" align="center">220.92</td>
<td valign="middle" align="center">4.13</td>
<td valign="middle" align="center">1.51</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">8.96</td>
<td valign="middle" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" align="center">Infralittoral sand</td>
<td valign="middle" align="center">998.52</td>
<td valign="middle" align="center">97.03</td>
<td valign="middle" align="center">0.7</td>
<td valign="middle" align="center">0.07</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">29.83</td>
<td valign="middle" align="center">2.90</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral mud</td>
<td valign="middle" align="center">1902.67</td>
<td valign="middle" align="center">99.99</td>
<td valign="middle" align="center">0.18</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral sand</td>
<td valign="middle" align="center">77.49</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">8098.98</td>
<td valign="middle" align="center">96.86</td>
<td valign="middle" align="center">221.8</td>
<td valign="middle" align="center">2.65</td>
<td valign="middle" align="center">1.53</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">38.79</td>
<td valign="middle" align="center">0.46</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Area and proportion of each habitat type affected by different pressures.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Habitat type</th>
<th valign="middle" colspan="2" align="center">Physical loss of seabed</th>
<th valign="middle" colspan="2" align="center">Physical damage of seabed</th>
<th valign="middle" colspan="2" align="center">Environmental pressure</th>
<th valign="middle" rowspan="2" align="center">Total habitat Area (km<sup>2</sup>)</th>
</tr>
<tr>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Proportion of habitat (%)</th>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Proportion of habitat (%)</th>
<th valign="middle" align="center">Area (km<sup>2</sup>)</th>
<th valign="middle" align="center">Proportion of habitat (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Infralittoral mud</td>
<td valign="middle" align="center">9.26</td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">252.56</td>
<td valign="middle" align="center">4.72</td>
<td valign="middle" align="center">1710.28</td>
<td valign="middle" align="center">31.96</td>
<td valign="middle" align="center">5351.68</td>
</tr>
<tr>
<td valign="middle" align="center">Infralittoral sand</td>
<td valign="middle" align="center">29.85</td>
<td valign="middle" align="center">2.90</td>
<td valign="middle" align="center">79.3</td>
<td valign="middle" align="center">7.71</td>
<td valign="middle" align="center">222.98</td>
<td valign="middle" align="center">21.67</td>
<td valign="middle" align="center">1029.07</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral mud</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" align="center">8.99</td>
<td valign="middle" align="center">0.47</td>
<td valign="middle" align="center">174.76</td>
<td valign="middle" align="center">9.18</td>
<td valign="middle" align="center">1902.86</td>
</tr>
<tr>
<td valign="middle" align="center">Circalittoral sand</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" align="center">2.81</td>
<td valign="middle" align="center">3.63</td>
<td valign="middle" align="center">77.49</td>
</tr>
<tr>
<td valign="middle" align="center">Total Impact Area</td>
<td valign="middle" align="center">39.11</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">340.85</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">2110.83</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The pressure intensity on habitats in Bohai Bay ranges from 0 to 1.45 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>), with high-value areas concentrated in three core regions: seabed surrounding Caofeidian Port (northeast), adjacent to Tianjin Port (northwest), and coastal seabed near Huanghua Port and Shandong (south). These regions have undergone land reclamation since 2000 and feature diverse sea uses, including impermeable/permeable structures, shipping channels, submarine cables/pipelines, and aquaculture.</p>
<p>The distribution of pressure intensity across different habitat types shows marked variation (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Circalittoral mud is primarily affected by low pressure (0-0.35), with other pressure levels near zero. Infralittoral mud distributes across multiple pressure ranges: 95.68% (0-0.35), 4.13% (0.35-0.6), and 0.17% (0.9-1.45). Infralittoral sand accounts for the largest high-pressure (0.9-1.45) area (29.83 km<sup>2</sup>), representing 76.9% of the total high-pressure area. Low pressure (0-0.35) dominates all habitat types, while high pressure (0.9-1.45) accounts for only ~0.5% of the total pressed area.</p>
<p>As detailed in <xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>, infralittoral mud is most affected by environmental pressure (31.96%), followed by physical damage (4.72%) and physical loss (0.17%). Infralittoral sand is impacted by all three pressure types, with physical damage accounting for 7.71% of its area. Circalittoral mud is affected by physical damage (0.47%) and environmental pressure (9.18%); circalittoral sand only by environmental pressure (3.63%).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Spatial heterogeneity and dominant stressors</title>
<p>Our spatially explicit assessment reveals pronounced spatial heterogeneity in cumulative impacts on Bohai Bay subtidal habitats, with the infralittoral zone&#x2014;especially muddy substrates&#x2014;emerging as a primary impact hotspot. This pattern stems from the synergistic effects of the zone&#x2019;s intrinsic ecological attributes (e.g., high organic matter content, low permeability) and close proximity to anthropogenic disturbances (e.g., land-based pollution, reclamation) (<xref ref-type="bibr" rid="B17">Liu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B37">Zhang et&#xa0;al., 2025</xref>). Eutrophication dominates as the prevailing stressor in these shallow, productive areas: our data quantifies that environmental pressure (primarily eutrophication) affects an area 54 times larger than physical habitat loss across all studied habitats. This finding is consistent with long-term observations in the Bohai Sea and its sub-basins, where nutrient enrichment has driven trophic status regime shifts and sustained elevated chlorophyll-a levels. For instance, assessments in the Bohai Sea and Laizhou Bay report chlorophyll-a concentrations up to 0.015 mg/L under nutrient-enriched conditions, with a critical dissolved inorganic nitrogen (DIN) threshold of 0.37 mg/L marking a trophic regime shift and reflecting the system&#x2019;s vulnerability to nutrient loading (<xref ref-type="bibr" rid="B32">Xin et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B18">Liu et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Ecological responses and mechanisms</title>
<p>Eutrophication induces excessive algal blooms, and subsequent decomposition of algal biomass triggers hypoxia (dissolved oxygen &lt; 2 mg/L)&#x2014;a stressor particularly harmful to infralittoral mud habitats, where benthic organisms (e.g., filter-feeding bivalves) depend on adequate oxygen for respiration (<xref ref-type="bibr" rid="B8">Diaz and Rosenberg, 2008</xref>; <xref ref-type="bibr" rid="B24">Shi et&#xa0;al., 2023</xref>). Global research confirms the strong link between nutrient enrichment, water column stratification, and coastal hypoxia expansion. A 2024 summer investigation in the Bohai Sea illustrated this: temperature stratification and weak hydrodynamics facilitated widespread hypoxia, exacerbated by high phytoplankton biomass and subsequent organic matter remineralization (<xref ref-type="bibr" rid="B24">Shi et&#xa0;al., 2023</xref>). Comparative analyses of benthic fauna tolerance show interspecific variability, with many species exhibiting sublethal or lethal effects at dissolved oxygen levels &#x2264; 2 mg/L&#x2014;indicating that conventional hypoxic thresholds may underestimate ecological risk in shallow, organic-rich systems (<xref ref-type="bibr" rid="B29">Vaquer-Sunyer and Duarte, 2008</xref>).</p>
<p>Infralittoral mud habitats are also highly sensitive to physical disturbances; bottom trawling, for example, causes severe damage to soft-sediment communities, further amplifying ecological risk (<xref ref-type="bibr" rid="B13">Kaiser et&#xa0;al., 2002</xref>). In high-impact areas, the spatial patterns of cumulative pressure align with documented shifts toward smaller, pollution-tolerant benthic taxa and reduced species diversity (e.g., lower Shannon-Wiener index). This indicates that the combined stresses of eutrophication and physical disturbance are driving a simplification of community structure (<xref ref-type="bibr" rid="B4">Cai et&#xa0;al., 2014</xref>), which may signal a decline in ecosystem functions and services.</p>
<p>Our integrated pressure-sensitivity analysis reveals that the spatial pattern of cumulative impacts is governed by two overarching factors: the dominance of eutrophication as the most widespread stressor and the pronounced vulnerability of the infralittoral zone. The infralittoral zone, covering ~60% of the bay, bears the brunt of combined pressures, with its muddy substrates most affected by environmental stress (31.96% area impacted) and sandy substrates notably impacted by physical disturbances (e.g., 2.90% by physical loss). In contrast, the circalittoral zone is primarily influenced by eutrophication (9.18% of mud habitats), with minimal direct physical impact, underscoring depth as a buffer against localized disturbances but not against basin-scale pollution.</p>
<p>Several limitations of this study should be acknowledged when interpreting these results. First, our assessment focused on subtidal habitats and excluded the ecologically critical intertidal zone, thereby offering an incomplete picture of whole-system pressures&#x2014;a common constraint in seabed-focused assessments (<xref ref-type="bibr" rid="B14">Korpinen and Andersen, 2016</xref>). Second, the habitat sensitivity scoring, while based on expert synthesis of local data and established ecological principles, inherently involves subjectivity. Third, our framework considered three primary local stressors but omitted other potentially important pressures such as climate change, hazardous substances, and anthropogenic noise, whose long-term and interactive effects could further modulate the cumulative impacts described here.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions and outlook</title>
<sec id="s5_1">
<label>5.1</label>
<title>Main conclusions</title>
<p>This study developed and applied a spatially explicit framework to assess the cumulative impacts of multiple stressors on subtidal benthic habitats in Bohai Bay. The key findings are:</p>
<list list-type="order">
<list-item>
<p>Eutrophication is the most extensive driver of cumulative impact across Bohai Bay, affecting an area far exceeding that of physical habitat loss or damage.</p></list-item>
<list-item>
<p>The infralittoral zone is the primary impact hotspot, with its muddy substrates most affected by nutrient enrichment and its sandy substrates particularly vulnerable to physical disturbances such as sand mining.</p></list-item>
<list-item>
<p>Cumulative impacts exhibit strong spatial heterogeneity, directly linked to gradients in human activity (e.g., proximity to ports) and natural depth gradients that buffer deeper circalittoral habitats from physical pressures but not from water-quality degradation.</p></list-item>
</list>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>Management recommendations</title>
<p>Based on the findings of this study, the following targeted management measures are proposed:</p>
<p>1. Implement spatially differentiated management strategies. The infralittoral zone is a pressure hotspot, characterized by sufficient light and high ecological value, and requires priority conservation efforts. Within this zone, protection priorities should be further differentiated:</p>
<p>For infralittoral muddy substrates, where environmental pressure affects over 30% of the area, focused prevention and control of long-term stressors from land-based pollution and marine development is crucial. It is recommended to enhance the control of pollution sources, including aquaculture wastewater and ship discharges, with a long-term target for key indicators such as C<sub>DIN</sub> &lt; 0.5 mg/L.</p>
<p>For infralittoral sandy substrates, which are more susceptible to physical damage (the proportion of physical damage is 1.6 times that in muddy substrates), strengthened supervision of engineering activities like sand mining and dredging is necessary (<xref ref-type="bibr" rid="B28">Van Dover, 2011</xref>).</p>
<p>For the circalittoral zone, which is predominantly influenced by environmental pressure, the primary focus should be on water quality improvement initiatives and ecological restoration.</p>
<p>2. Implement differentiated management strategies for different pressure types. In areas dominated by physical loss, strict control should be imposed on new reclamation activities, and an ecological compensation mechanism based on offsetting habitat loss with restoration should be promoted. In regions primarily affected by environmental pressure, efforts should focus on strengthening land-based pollution control and establishing a coordinated management system linking river basins, estuaries, and the bay.</p>
<p>3. Establish a hierarchical habitat protection system. Infralittoral mud substrates, where environmental pressure affects over 30% of the area, require prioritized prevention and control of long-term stress from land-based pollution and marine development. For infralittoral sand substrates, enhanced supervision of activities such as sand mining is necessary. In circalittoral zones, emphasis should be placed on improving water quality and implementing ecological restoration.</p>
<p>4. Enhance dynamic monitoring and early warning systems. It is recommended to combine remote sensing technologies (e.g., monitoring habitat changes through image inversion) with field surveys to refine protection strategies for different habitats. This approach will help balance marine development with ecological conservation and safeguard the service functions of marine ecosystems.</p>
</sec>
<sec id="s5_3">
<label>5.3</label>
<title>Research outlook</title>
<p>Future research could be expanded in the following directions:</p>
<list list-type="simple">
<list-item>
<p>1. Extend the assessment scope to the full intertidal-subtidal system. As an ecological transition zone between land and sea, the intertidal area exhibits both high productivity and high sensitivity. It is closely linked to subtidal zones through material cycles and biological migrations, such as vertical movement of benthic organisms and cross-zone foraging by migratory birds. In this study, &#x201c;intertidal&#x201d; refers to the littoral zone, while &#x201c;subtidal&#x201d; encompasses both infralittoral (photic) and circalittoral (aphotic) zones below the low-tide mark. Future studies could integrate distribution data of intertidal habitat types (e.g., salt marshes, rocky shores) and incorporate the impacts of pressures like reclamation and aquaculture on intertidal areas. This would enable the development of a comprehensive cumulative pressure model covering the entire tidal region, providing a holistic reflection of the ecological risks to seabed habitats in Bohai Bay.</p></list-item>
<list-item>
<p>2. Optimize habitat sensitivity assessment methods. To address the subjectivity of expert scoring, long-term monitored bio-environmental correlation data&#x2014;such as regression relationships between benthic community structure and pressure intensity&#x2014;could be used to establish a quantitatively measured sensitivity model. Furthermore, differences in responses at the individual and community levels should be incorporated. For example, sensitivity classification criteria could be refined based on biological mobility (e.g., swimming vs. sessile organisms), trophic level (e.g., producers vs. top predators), and life-history traits (e.g., reproductive cycles, larval dispersal capacity). Drawing on <xref ref-type="bibr" rid="B13">Kaiser et&#xa0;al.&#x2019;s (2002)</xref> framework for benthic community resilience, a coupled &#x201c;habitat-biotic community&#x201d; sensitivity evaluation system could be constructed.</p></list-item>
<list-item>
<p>3. Improve integrated assessment of multiple pressure types. In addition to existing physical and eutrophication pressures, the following stressors should be included in quantitative analyses:</p></list-item>
</list>
<p>Climate change-related pressures, such as habitat inundation due to sea-level rise and the effects of seawater warming on benthic metabolic processes (<xref ref-type="bibr" rid="B16">Levin and Dayton, 2009</xref>);</p>
<p>Hazardous substance pressures, including the cumulative effects of heavy metals and persistent organic pollutants in sediments (<xref ref-type="bibr" rid="B23">Ramirez-Llodra et&#xa0;al., 2011</xref>);</p>
<p>Anthropogenic noise pressures, such as behavioral disturbances to sound-sensitive species (e.g., Sciaenidae) caused by shipping and underwater construction (<xref ref-type="bibr" rid="B26">Stocker, 2002</xref>).</p>
<p>Additionally, interactions among multiple pressures&#x2014;e.g., the synergistic effect of eutrophication and warming on the expansion of hypoxic zones&#x2014;should be investigated. The incorporation of interaction coefficients or machine learning algorithms could enhance the mechanistic interpretability of cumulative impact assessments.</p>
</sec>
</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/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XL: Writing &#x2013; original draft, Methodology, Writing &#x2013; review &amp; editing. XH: Writing &#x2013; original draft, Formal analysis. QM: Software, Writing &#x2013; original draft. YA: Software, Writing &#x2013; original draft. LY: Writing &#x2013; review &amp; editing, Visualization. WL: Writing &#x2013; review &amp; editing, Supervision.</p></sec>
<sec id="s9" sec-type="COI-statement">
<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>
<sec id="s10" sec-type="ai-statement">
<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></sec>
<sec id="s11" 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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2026.1777787/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2026.1777787/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Adesakin</surname> <given-names>T. A.</given-names></name>
<name><surname>Erhomosele</surname> <given-names>E. I.</given-names></name>
<name><surname>Ogunrinola</surname> <given-names>O. F.</given-names></name>
<name><surname>Oloyede</surname> <given-names>O. O.</given-names></name>
<name><surname>Adedeji</surname> <given-names>A. A.</given-names></name>
<name><surname>Odufuwa</surname> <given-names>P. T.</given-names></name>
<etal/>
</person-group>. (<year>2023</year>). 
<article-title>Using benthic macroinvertebrates as bioindicators to evaluate the impact of anthropogenic stressors on water quality and sediment properties of a West African lagoon</article-title>. <source>Heliyon</source> <volume>9</volume>, <fpage>e19508</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.heliyon.2023.e19508</pub-id>, PMID: <pub-id pub-id-type="pmid">37810137</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bian</surname> <given-names>X.</given-names></name>
<name><surname>Wan</surname> <given-names>R.</given-names></name>
<name><surname>Jin</surname> <given-names>X.</given-names></name>
<name><surname>Wang</surname> <given-names>K.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Temporal variation of the early life stages of marine fish assemblage structure and abundance in the bohai bay</article-title>. <source>Prog. Fishery. Sci.</source> <volume>45</volume>, <fpage>1</fpage>&#x2013;<lpage>30</lpage>.
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bisinicu</surname> <given-names>E.</given-names></name>
<name><surname>Abaza</surname> <given-names>V.</given-names></name>
<name><surname>Boicenco</surname> <given-names>L.</given-names></name>
<name><surname>Adrian</surname> <given-names>F.</given-names></name>
<name><surname>Harcota</surname> <given-names>G. E.</given-names></name>
<name><surname>Marin</surname> <given-names>O.</given-names></name>
<etal/>
</person-group>. (<year>2024</year>). 
<article-title>Spatial cumulative assessment of impact risk-implementing ecosystem-based management for enhanced sustainability and biodiversity in the Black Sea</article-title>. <source>Sustainability</source> <volume>16</volume>, <fpage>4449</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/su16114449</pub-id>, PMID: <pub-id pub-id-type="pmid">41725453</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cai</surname> <given-names>W.</given-names></name>
<name><surname>Borja</surname> <given-names>&#xc1;.</given-names></name>
<name><surname>Liu</surname> <given-names>L.</given-names></name>
<name><surname>Meng</surname> <given-names>W.</given-names></name>
<name><surname>Muxika</surname> <given-names>I.</given-names></name>
<name><surname>Rodr&#xed;guez</surname> <given-names>J. G.</given-names></name>
</person-group> (<year>2014</year>). 
<article-title>Assessing benthic health under multiple human pressures in Bohai Bay (China), using density and biomass in calculating AMBI and M-AMBI</article-title>. <source>Mar. Ecol.</source> <volume>35</volume>, <fpage>180</fpage>&#x2013;<lpage>192</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/maec.12067</pub-id>, PMID: <pub-id pub-id-type="pmid">41744481</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Chan</surname> <given-names>S.</given-names></name>
<name><surname>Crosby</surname> <given-names>M.</given-names></name>
<name><surname>So</surname> <given-names>S.</given-names></name>
<name><surname>Wang</surname> <given-names>D.</given-names></name>
<name><surname>Cheung</surname> <given-names>F.</given-names></name>
<name><surname>Hua</surname> <given-names>F.</given-names></name>
</person-group> (<year>2009</year>). <source>Directory of Important Bird Areas in CHINA (Mainland) &#x2013; Key Sites for Conservation</source> (<publisher-loc>Cambridge, United Kingdom</publisher-loc>: 
<publisher-name>BirdLife International</publisher-name>).
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cohen</surname> <given-names>J.</given-names></name>
</person-group> (<year>1960</year>). 
<article-title>A coefficient of agreement for nominal scales</article-title>. <source>Educ. psychol. Measure.</source> <volume>20</volume>, <fpage>37</fpage>&#x2013;<lpage>46</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/001316446002000104</pub-id>, PMID: <pub-id pub-id-type="pmid">41756066</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Declerck</surname> <given-names>M.</given-names></name>
<name><surname>Trifonova</surname> <given-names>N.</given-names></name>
<name><surname>Black</surname> <given-names>J.</given-names></name>
<name><surname>Hartley</surname> <given-names>J.</given-names></name>
<name><surname>Scott</surname> <given-names>B. E.</given-names></name>
</person-group> (<year>2022</year>). 
<article-title>A new strategic framework to structure cumulative impact assessment (CIA)</article-title>. <source>Int. Mar. Energy J.</source> <volume>5</volume>, <fpage>339</fpage>&#x2013;<lpage>347</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.36688/imej.5.339-347</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Diaz</surname> <given-names>R. J.</given-names></name>
<name><surname>Rosenberg</surname> <given-names>R.</given-names></name>
</person-group> (<year>2008</year>). 
<article-title>Spreading dead zones and consequences for marine ecosystems</article-title>. <source>Science</source> <volume>321</volume>, <fpage>926929</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.1156401</pub-id>, PMID: <pub-id pub-id-type="pmid">18703733</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="web">
<person-group person-group-type="author"><collab>European Commission</collab>
</person-group> (<year>2020</year>). 
<article-title>Report from the Commission to the European Parliament and the Council on the Implementation of the Marine Strategy Framework Directive (Directive 2008/56/EC) [EB/OL]</article-title> (<publisher-loc>Copenhagen, Denmark</publisher-loc>: 
<publisher-name>European Environment Agency</publisher-name>). Available online at: <uri xlink:href="https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0259&amp;from=EN">https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:52020DC0259&amp;from=EN</uri> (Accessed <date-in-citation content-type="access-date">December 10, 2021</date-in-citation>).
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>European Environment Agency</collab>
</person-group> (<year>2022</year>). <source>EUNIS Habitat Classification</source> (<publisher-loc>Copenhagen, Denmark</publisher-loc>: 
<publisher-name>European Environment Agency</publisher-name>).
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gu</surname> <given-names>D.</given-names></name>
<name><surname>Wang</surname> <given-names>Y.</given-names></name>
<name><surname>Li</surname> <given-names>R.</given-names></name>
<name><surname>Zhang</surname> <given-names>H.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Resource dynamics of fish eggs and larvae in Tianjin sea area</article-title>. <source>J. Dalian. Ocean. Univers.</source> <volume>35</volume>, <fpage>557563</fpage>.
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Huang</surname> <given-names>H.</given-names></name>
<name><surname>Lu</surname> <given-names>W.</given-names></name>
<name><surname>Zuo</surname> <given-names>G.</given-names></name>
<name><surname>Liu</surname> <given-names>Z.</given-names></name>
<name><surname>Liu</surname> <given-names>C.</given-names></name>
<name><surname>Wang</surname> <given-names>X.</given-names></name>
<etal/>
</person-group>. (<year>2023</year>). 
<article-title>Ecological distribution patterns in Chinese seas and adjacent waters: Marine ecological zones</article-title>. <source>Sci. Total. Environ.</source> <volume>905</volume>, <fpage>167259</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2023.167259</pub-id>, PMID: <pub-id pub-id-type="pmid">37758150</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kaiser</surname> <given-names>M. J.</given-names></name>
<name><surname>Collie</surname> <given-names>J. S.</given-names></name>
<name><surname>Hall</surname> <given-names>S. J.</given-names></name>
<name><surname>Jennings</surname> <given-names>S.</given-names></name>
<name><surname>Poiner</surname> <given-names>I. R.</given-names></name>
</person-group> (<year>2002</year>). 
<article-title>Modification of marine habitats by trawling activities: prognosis and solutions</article-title>. <source>Fish. Fish.</source> <volume>3</volume>, <fpage>114136</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1046/j.1467-2979.2002.00079.x</pub-id>, PMID: <pub-id pub-id-type="pmid">41717205</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Korpinen</surname> <given-names>S.</given-names></name>
<name><surname>Andersen</surname> <given-names>J. H.</given-names></name>
</person-group> (<year>2016</year>). 
<article-title>A global review of cumulative pressure and impact assessments in marine environments</article-title>. <source>Front. Mar. Sci.</source> <volume>3</volume>, <elocation-id>153</elocation-id>&#x2013;<lpage>164</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmars.2016.00153</pub-id>, PMID: <pub-id pub-id-type="pmid">41757362</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kostopoulou</surname> <given-names>E.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>An enhanced Cumulative Impact Assessment framework supporting Ecosystem-based Coastal Spatial Planning and Blue Growth in a data-poor region</article-title>. <source>Mar. pollut. Bull.</source> <volume>217</volume>, <fpage>118100</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marpolbul.2025.118100</pub-id>, PMID: <pub-id pub-id-type="pmid">40347745</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Levin</surname> <given-names>L. A.</given-names></name>
<name><surname>Dayton</surname> <given-names>P. K.</given-names></name>
</person-group> (<year>2009</year>). 
<article-title>Ecological theory and continental margins: where shallow meets deep</article-title>. <source>Trends Ecol. Evol.</source> <volume>24</volume>, <fpage>606617</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.tree.2009.04.012</pub-id>, PMID: <pub-id pub-id-type="pmid">19692143</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Liu</surname> <given-names>S.</given-names></name>
<name><surname>Li</surname> <given-names>G.</given-names></name>
<name><surname>Liu</surname> <given-names>S.</given-names></name>
<name><surname>Xing</surname> <given-names>L.</given-names></name>
<name><surname>Pan</surname> <given-names>Y.</given-names></name>
<name><surname>Yu</surname> <given-names>D.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Impacts of reclamation on hydrodynamic and suspended sediment transport in the Bohai Sea</article-title>. <source>J. Geophys. Res.: Oceans.</source> <volume>129</volume>, <elocation-id>e2023JC020570</elocation-id>.
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Liu</surname> <given-names>X.</given-names></name>
<name><surname>Liu</surname> <given-names>D.</given-names></name>
<name><surname>Wang</surname> <given-names>Y.</given-names></name>
<name><surname>Shi</surname> <given-names>Y.</given-names></name>
<name><surname>Wang</surname> <given-names>Y.</given-names></name>
<name><surname>Sun</surname> <given-names>X.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>Temporal and spatial variations and impact factors of nutrients in Bohai Bay, China</article-title>. <source>Mar. pollut. Bull.</source> <volume>140</volume>, <fpage>549</fpage>&#x2013;<lpage>562</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marpolbul.2019.02.011</pub-id>, PMID: <pub-id pub-id-type="pmid">30803676</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Liu</surname> <given-names>X.</given-names></name>
<name><surname>Qiao</surname> <given-names>L.</given-names></name>
<name><surname>Song</surname> <given-names>D.</given-names></name>
<name><surname>Yu</surname> <given-names>X.</given-names></name>
<name><surname>Yu</surname> <given-names>Y.</given-names></name>
<name><surname>Zhong</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2025</year>). 
<article-title>Impact of tropical cyclones on the suspended sediment transport in the Bohai Sea since the 21st century</article-title>. <source>Mar. pollut. Bull.</source> <volume>220</volume>, <fpage>118383</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marpolbul.2025.118383</pub-id>, PMID: <pub-id pub-id-type="pmid">40644906</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>Ministry of Ecology and Environment of the People&#x2019;s Republic of China</collab>
</person-group> (<year>2020</year>). 
<article-title>Technical specification for offshore environmental monitoring&#x2014;Part 10: Evaluation and report (HJ 442.10-2020)</article-title> (<publisher-loc>Beijing</publisher-loc>: 
<publisher-name>China Environmental Science Press</publisher-name>). (Released on December 16, 2020).
</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Piet</surname> <given-names>G.</given-names></name>
<name><surname>Bentley</surname> <given-names>J.</given-names></name>
<name><surname>Jongbloed</surname> <given-names>R.</given-names></name>
<name><surname>Grundlehner</surname> <given-names>A.</given-names></name>
<name><surname>Tamis</surname> <given-names>J.</given-names></name>
<name><surname>de Vries</surname> <given-names>P.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>A cumulative impact assessment on the marine capacity to supply ecosystem services</article-title>. <source>Sci. Total. Environ.</source> <volume>948</volume>, <fpage>174149</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.scitotenv.2024.174149</pub-id>, PMID: <pub-id pub-id-type="pmid">38909821</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Radicioli</surname> <given-names>M.</given-names></name>
<name><surname>Annunziatellis</surname> <given-names>A.</given-names></name>
<name><surname>Agnesi</surname> <given-names>S.</given-names></name>
<name><surname>Giusti</surname> <given-names>M.</given-names></name>
<name><surname>Angiolillo</surname> <given-names>M.</given-names></name>
<name><surname>Tunesi</surname> <given-names>L.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>Evaluating broad-scale habitat model against patchy benthic habitats: the case of EUSeaMap</article-title>. <source>Front. Mar. Sci.</source> <volume>12</volume>, <elocation-id>1648922</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmars.2025.1648922</pub-id>, PMID: <pub-id pub-id-type="pmid">41757362</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ramirez-Llodra</surname> <given-names>E.</given-names></name>
<name><surname>Tyler</surname> <given-names>P. A.</given-names></name>
<name><surname>Baker</surname> <given-names>M. C.</given-names></name>
<name><surname>Bergstad</surname> <given-names>O. A.</given-names></name>
<name><surname>Clark</surname> <given-names>M. R.</given-names></name>
<name><surname>Escobar</surname> <given-names>E.</given-names></name>
<etal/>
</person-group>. (<year>2011</year>). 
<article-title>Man and the last great wilderness: human impact on the deep sea</article-title>. <source>PloS One</source> <volume>6</volume>, <fpage>e22588</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0022588</pub-id>, PMID: <pub-id pub-id-type="pmid">21829635</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shi</surname> <given-names>Y.</given-names></name>
<name><surname>He</surname> <given-names>Y.</given-names></name>
<name><surname>Shin</surname> <given-names>P. K.</given-names></name>
<name><surname>Guo</surname> <given-names>Y.</given-names></name>
<name><surname>Zhang</surname> <given-names>G.</given-names></name>
<name><surname>Wen</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2023</year>). 
<article-title>Responses of biological traits of macrobenthic fauna to a eutrophication gradient in a semi-enclosed bay, China</article-title>. <source>Mar. Environ. Res.</source> <volume>189</volume>, <fpage>106072</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marenvres.2023.106072</pub-id>, PMID: <pub-id pub-id-type="pmid">37385085</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Sousa</surname> <given-names>W. P.</given-names></name>
</person-group> (<year>2001</year>). &#x201c;
<article-title>Natural disturbance and the dynamics of marine benthic communities</article-title>,&#x201d; in <source>Marine Community Ecology</source>. Ed. 
<person-group person-group-type="editor">
<name><surname>Bertness</surname> <given-names>M. D.</given-names></name>
<etal/>
</person-group> (<publisher-loc>Massachusetts, USA</publisher-loc>: 
<publisher-name>Sinauer Associates Inc</publisher-name>), <fpage>85</fpage>&#x2013;<lpage>130</lpage>.
</mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Stocker</surname> <given-names>M.</given-names></name>
</person-group> (<year>2002</year>). 
<article-title>Fish, mollusks and other sea animals&#x2019; use of sound, and the impact of anthropogenic noise in the marine acoustic environment</article-title>. <source>J. Acoustical. Soc. America</source> <volume>112</volume>, <fpage>2431</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1121/1.4779979</pub-id>, PMID: <pub-id pub-id-type="pmid">41484700</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Sun</surname> <given-names>X. P.</given-names></name>
</person-group> (<year>2006</year>). <source>Regional Oceanography of CHINA&#x2019;s Offshore Seas</source> (<publisher-loc>Beijing</publisher-loc>: 
<publisher-name>Ocean Press</publisher-name>).
</mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Van Dover</surname> <given-names>C. L.</given-names></name>
</person-group> (<year>2011</year>). 
<article-title>Tighten regulations on deep-sea mining</article-title>. <source>Nature</source> <volume>470</volume>, <fpage>31</fpage>&#x2013;<lpage>33</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/470031a</pub-id>, PMID: <pub-id pub-id-type="pmid">21293351</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Vaquer-Sunyer</surname> <given-names>R.</given-names></name>
<name><surname>Duarte</surname> <given-names>C. M.</given-names></name>
</person-group> (<year>2008</year>). 
<article-title>Thresholds of hypoxia for marine biodiversity</article-title>. <source>PNAS</source> <volume>105</volume>, <fpage>15452</fpage>&#x2013;<lpage>15457</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.0803833105</pub-id>, PMID: <pub-id pub-id-type="pmid">18824689</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wang</surname> <given-names>X.</given-names></name>
<name><surname>Shang</surname> <given-names>Y.</given-names></name>
<name><surname>Kong</surname> <given-names>H.</given-names></name>
<name><surname>Hu</surname> <given-names>M.</given-names></name>
<name><surname>Yang</surname> <given-names>J.</given-names></name>
<name><surname>Deng</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2020</year>). 
<article-title>Combined effects of ocean acidification and hypoxia on the early development of the thick shell mussel Mytilus coruscus</article-title>. <source>Helgoland. Mar. Res.</source> <volume>74</volume>, <fpage>3</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s10152-020-0535-9</pub-id>, PMID: <pub-id pub-id-type="pmid">41749387</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wang</surname> <given-names>X.</given-names></name>
<name><surname>Xiong</surname> <given-names>L.</given-names></name>
<name><surname>Xu</surname> <given-names>H.</given-names></name>
<name><surname>Tang</surname> <given-names>C.</given-names></name>
<name><surname>Tang</surname> <given-names>Y.</given-names></name>
<name><surname>Zhang</surname> <given-names>R.</given-names></name>
<etal/>
</person-group>. (<year>2026</year>). 
<article-title>Assessment of benthic ecological quality status of small estuaries using multiple biotic indices in East China Sea</article-title>. <source>Mar. pollut. Bull.</source> <volume>223</volume>, <fpage>119031</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marpolbul.2025.119031</pub-id>, PMID: <pub-id pub-id-type="pmid">41330337</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Xin</surname> <given-names>M.</given-names></name>
<name><surname>Wang</surname> <given-names>B.</given-names></name>
<name><surname>Xie</surname> <given-names>L.</given-names></name>
<name><surname>Sun</surname> <given-names>X.</given-names></name>
<name><surname>Wei</surname> <given-names>Q.</given-names></name>
<name><surname>Liang</surname> <given-names>S.</given-names></name>
<etal/>
</person-group>. (<year>2019</year>). 
<article-title>Long-term changes in nutrient regimes and their ecological effects in the Bohai Sea, China</article-title>. <source>Mar. pollut. Bull.</source> <volume>146</volume>, <fpage>562</fpage>&#x2013;<lpage>573</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marpolbul.2019.07.011</pub-id>, PMID: <pub-id pub-id-type="pmid">31426194</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Xue</surname> <given-names>X.</given-names></name>
<name><surname>Yun</surname> <given-names>L.</given-names></name>
<name><surname>Sun</surname> <given-names>Z.</given-names></name>
<name><surname>Zan</surname> <given-names>J.</given-names></name>
<name><surname>Xu</surname> <given-names>X.</given-names></name>
<name><surname>Liu</surname> <given-names>X.</given-names></name>
<etal/>
</person-group>. (<year>2025</year>). 
<article-title>Community Structure and influencing factors of macro-benthos in bottom-seeded marine pastures: A case study of Caofeidian, China</article-title>. <source>Biology</source> <volume>14</volume>, <fpage>901</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/biology14070901</pub-id>, PMID: <pub-id pub-id-type="pmid">40723459</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Xue</surname> <given-names>Z. Y.</given-names></name>
<name><surname>Zheng</surname> <given-names>X. S.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Simulation of pollutant diffusion from Tianjin coastal sewage outlets based on the FVCOM model</article-title>. <source>Mar. Inf. Technol. Applicat.</source> <volume>36</volume>, <fpage>1</fpage>&#x2013;<lpage>14</lpage>.
</mixed-citation>
</ref>
<ref id="B35">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yang</surname> <given-names>L.</given-names></name>
<name><surname>Lu</surname> <given-names>W.</given-names></name>
<name><surname>He</surname> <given-names>L.</given-names></name>
<name><surname>Huang</surname> <given-names>H.</given-names></name>
<name><surname>Liu</surname> <given-names>Z.</given-names></name>
<name><surname>Zhang</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2025</year>). 
<article-title>Mapping benthic habitats in Bohai Bay, China</article-title>. <source>Sci. Rep.</source> <volume>15</volume>, <fpage>17979</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-025-02091-y</pub-id>, PMID: <pub-id pub-id-type="pmid">40410239</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yang</surname> <given-names>W.</given-names></name>
<name><surname>Zhu</surname> <given-names>Z.</given-names></name>
<name><surname>Dong</surname> <given-names>L.</given-names></name>
<name><surname>Peng</surname> <given-names>W.</given-names></name>
<name><surname>Wu</surname> <given-names>C.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Using cumulative human impact assessment to support adaptive management of the threatened species&#x2019; habitats in the Yangtze River Estuary</article-title>. <source>Global Ecol. Conserv.</source> <volume>54</volume>, <fpage>e03164</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.gecco.2024.e03164</pub-id>, PMID: <pub-id pub-id-type="pmid">41756733</pub-id>
</mixed-citation>
</ref>
<ref id="B37">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhang</surname> <given-names>B.</given-names></name>
<name><surname>Xiang</surname> <given-names>X.</given-names></name>
<name><surname>Chen</surname> <given-names>Z.</given-names></name>
<name><surname>Zhang</surname> <given-names>X.</given-names></name>
<name><surname>Guo</surname> <given-names>J.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>Assessment of land reclamation effects on material transport in the Bohai Bay based on information entropy theory</article-title>. <source>Estuarine. Coast. Shelf. Sci.</source> <volume>326</volume>, <fpage>109544</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ecss.2025.109544</pub-id>, PMID: <pub-id pub-id-type="pmid">41756733</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/87820">Marius Nils M&#xfc;ller</ext-link>, Federal University of Pernambuco, Brazil</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/345912">J. Emilio Sanchez-Moyano</ext-link>, Sevilla University, Spain</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/430535">Teresa Radziejewska</ext-link>, University of Szczecin, Poland</p></fn>
</fn-group>
</back>
</article>