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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2023.1164065</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantitative evaluation of sea reclamation activities on tidal creek connectivity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Man</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2205811"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Fangwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Qing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1937492"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cui</surname>
<given-names>Baoshan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/107616"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Yellow River Estuary Wetland Ecosystem Observation and Research Station, Ministry of Education</institution>, <addr-line>Dongying, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Operation Management Department, China Construction Eco-Environmental Group Co., LTD</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Research and Development Center for Watershed Environmental Eco-Engineering, Beijing Normal University</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Laibin Huang, University of California, Davis, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jiakai Liu, Beijing Forestry University, China; Weiqing Meng, Tianjin Normal University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qing Wang, <email xlink:href="mailto:wq@bnu.edu.cn">wq@bnu.edu.cn</email>; Baoshan Cui, <email xlink:href="mailto:cuibs@bnu.edu.cn">cuibs@bnu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1164065</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>02</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>04</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Man, Zhou, Wang and Cui</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Man, Zhou, Wang and Cui</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Deltas are in a dynamic balance due to the impact of fluvial and coastal flooding, and hydrological connectivity plays an important role. In recent decades, the dynamic equilibrium has been influenced by upstream and local human activities, including sea reclamation activities. However, in most instances, the influence of human activities has not been explicitly distinguished and quantified in detail. In this paper, the influence of sea reclamation activities on hydrological connectivity in the Yellow River Delta was quantified by parameterizing the resistance surfaces (a spatial layer that assigns a value to each landscape feature, indicating the degree to which that variable impedes or promotes movement) that includes sea reclamation activities. By optimizing a functional relationship between landscape features and hydrological connectivity (water flow movement patterns), the values in the resistance surfaces could be assigned. We first calculated hydrological distances among bifurcations from 1985 to 2020 with a 5-year interval representing the hydrological connectivity of each tidal creek. The sea reclamation activities in the YRD were classified into four: reclaimed land, sea enclosure activity, freshwater resource facilities, and engineering in the oil field to create resistance surfaces. We identified that the periods of 1990&#x2013;1995 and 2000&#x2013;2005 were under the most severe influence of sea reclamation activities. Sea enclosure activity, freshwater resource facilities, and engineering in oil fields played major roles in composing resistance surfaces. Mariculture (quantified relative resistance value, 1.00), reservoir (0.92), agriculture (0.91), and river (0.97) were the features with the highest resistance values in the initial and mature development stages. The formation of resistance (costs to movement) was due to human activities and natural factors, for example, the evolution of tidal creeks. To develop the resource in tidal flats sustainably, systematic monitoring and sufficient conservation awareness were required. This study contributed to coastal management and planning by providing a quantified assessment of different types of sea reclamation activities.</p>
</abstract>
<kwd-group>
<kwd>tidal creek</kwd>
<kwd>hydrological connectivity</kwd>
<kwd>resistance surface</kwd>
<kwd>coastal wetland</kwd>
<kwd>reclamation activities</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="12"/>
<word-count count="5899"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Ecosystem Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The hydrological connectivity of tidal creeks plays an important role in maintaining the dynamic balance in deltas. By transferring nutrients, dissolved oxygen, sediment, propagules, and other substances to coastal salt marsh vegetation (<xref ref-type="bibr" rid="B23">Nelson et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B40">Wu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B36">Wang et&#xa0;al., 2021</xref>), tidal creeks contribute to the health and ecological processes of coastal ecosystems (<xref ref-type="bibr" rid="B23">Nelson et&#xa0;al., 2017</xref>). By transporting water and sediment, the stability of tidal flats is maintained by stably developed tidal creeks. In turn, stable landform environments promote the development of coastal salt marsh vegetation, reaching equilibrium with the mutual promotion of vegetation-landform-tidal creek systems (<xref ref-type="bibr" rid="B42">Xie et&#xa0;al., 2017</xref>). Through this process, deltas are in dynamic balance (<xref ref-type="bibr" rid="B31">Tessler et&#xa0;al., 2015</xref>). However, in recent decades, the dynamic balance is often influenced by upstream and local human activities, such as the construction of upstream reservoirs (<xref ref-type="bibr" rid="B8">Chen et al., 2013b</xref>), floodplain engineering, and local sea reclamation activities. Once the dynamic balance is interrupted, deltas become vulnerable to disturbances such as sea level rise.</p>
<p>Studies of the influences of human activities on tidal creeks have focused on various aspects of the tidal creek response. Regarding the morphology characteristics and connectivity, the responses of tidal creeks to upstream construction (<xref ref-type="bibr" rid="B6">Chen et&#xa0;al., 2013a</xref>), land reclamation (<xref ref-type="bibr" rid="B28">Shi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B41">Xie et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B15">Fan et&#xa0;al., 2021</xref>), or other coastal developments (<xref ref-type="bibr" rid="B7">Chen and Han, 2015</xref>; <xref ref-type="bibr" rid="B41">Xie et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B15">Fan et&#xa0;al., 2021</xref>) have been studied, including the sedimentary changes to land use (<xref ref-type="bibr" rid="B27">Sanger et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B12">Darrow et&#xa0;al., 2017</xref>&#x2013;). Regarding the water environment, the variations in water quality due to the influence of pollution have been studied using simulations (<xref ref-type="bibr" rid="B4">Buzzelli, 2008</xref>; <xref ref-type="bibr" rid="B3">Boynton et&#xa0;al., 2014</xref>) and experiment methods (<xref ref-type="bibr" rid="B13">DiDonato et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B3">Boynton et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B39">Wessel et&#xa0;al., 2021</xref>). The biological responses to coastal development have also been studied, including the changes to zooplankton (<xref ref-type="bibr" rid="B20">Li et&#xa0;al., 2012</xref>), nekton, macrobenthos (<xref ref-type="bibr" rid="B19">Lerberg et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B37">Washburn and Sanger, 2011</xref>), and fish (<xref ref-type="bibr" rid="B2">Bilkovic, 2011</xref>).</p>
<p>In most studies, however, human activities have not been classified specifically, and their influence has not been quantified. Rather, human activities have largely been considered rough categorical variables, such as urban or suburban (<xref ref-type="bibr" rid="B19">Lerberg et&#xa0;al., 2000</xref>), and summarized as rough indexes according to population density (<xref ref-type="bibr" rid="B17">Holland et&#xa0;al., 2004</xref>) or impervious land cover (<xref ref-type="bibr" rid="B26">Sanger et&#xa0;al., 2015</xref>). In fact, human activities are more detailed, particularly considering that multiple activities can coexist in one area.</p>
<p>In this paper, we distinguished the different types of sea reclamation activities that influenced tidal creeks and quantified these influences on the Yellow River Delta (YRD). We modeled each tidal creek as a hydrological network, with its edges represented as hydrological distance. Using this network as the observed data, we optimized the resistance surface based on the resistance theory and random walk theory. Through this process, different human activities were modeled as a series of randomly assigned resistance surfaces (<xref ref-type="bibr" rid="B30">Spear et&#xa0;al., 2010</xref>), on which commute distances (details in Materials and methods) were calculated to reflect water flow movement among sites of bifurcation in the tidal creeks. By comparing the hydrological distances with commute distances using a generalized linear mixed model, the best-fitted commute distances were selected, as well as the resistance surface. The framework and its application provided a quantitative assessment of the influence of human activities on hydrological connectivity at multiple temporal and spatial scales.</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>The YRD (36&#xb0; 24.0&#x2032;&#x2013;36&#xb0; 48.2&#x2032; N; 117&#xb0; 59.8&#x2032;&#x2013;120&#xb0; 36.1&#x2032; E) is situated to the south of Bohai Bay in eastern China (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). It is not only the youngest delta in China&#x2019;s warm temperate zone but also the largest delta with the most complete preservation (<xref ref-type="bibr" rid="B29">Song, 2015</xref>). The case study area is representative of coastal wetlands in the high-efficiency eco-economic zone of the Yellow River Delta, which extends from the mouth of the Taoer River in Zhanhua to the Qimu Cape in Longkou. Most areas of the YDR are dominated by irregular semidiurnal tides, while the tide in areas from the north of Doying Port to the south of the current course of the Yellow River is a diurnal tide (<xref ref-type="bibr" rid="B43">Yang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B38">Weikang et&#xa0;al., 2018</xref>). The Yellow River has changed its channel courses multiple times, and the deposition of new subdeltas and the erosion of abandoned subdeltas have occurred successively (<xref ref-type="bibr" rid="B46">Zhang et&#xa0;al., 2018</xref>). In the study area, the mean tidal range on the north and south coasts is about 1&#x2013;2 m, while that on the east coast near the current course is 0.76 m and that on the south coast is 0.61&#x2013;1.68 m (<xref ref-type="bibr" rid="B43">Yang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Zhou et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B35">Wang et&#xa0;al., 2017</xref>). Changes to the coastline on the north coast were influenced by reclamation activities in recent decades, with maximum expansion rates up to 123.98 km<sup>2</sup> (<xref ref-type="bibr" rid="B14">Fan et&#xa0;al., 2018</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study area and subzone divisions. The Yellow River Delta study area with landscape elements and tidal creeks in 1985.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Subzone division</title>
<p>As the drainage area of one tidal creek is much smaller compared to the entire YRD, there is no need to optimize the entire resistance surface of the YRD each time, especially considering the huge operand of the genetic algorithm. According to different hydrological conditions, patterns of human activity, and natural resources, we divided the entire area into six zones (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The different hydrological conditions were mainly due to the change of courses of the Yellow River into the sea in different periods in history. Zone 1 was located on the northwest coast of the study area and mainly contains the Ancient YRD due to the flow of the Yellow River into the sea in 1855 through the Taoer River. Zone 2 mainly contains the delta lobe of the Diaokou course, has suffered significant erosion since it was abandoned in 1976. Zone 3 was the subdelta of the Yellow River that flows into the sea in Stream Shenxian and courses south and north of it from 1953 to 1976. Zone 4 contained the National Reserve of the YRD, which was built in 1992 to protect coastal wetlands. Zone 5 contained the southern abandoned subdelta formed at the beginning of this century from the south of the current course of the Qingshui Sream to the southern plain of Laizhou Bay. Zone 6 mainly contained Laizhou Bay.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Framework of landscape resistance quantification</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Hydrological distance calculation</title>
<p>We used hydrological distance to measure the hydrological connectivity of tidal creeks, which was the shortest distance between pairs of sites computed along the stream network (<xref ref-type="bibr" rid="B16">Ganio et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B34">Ver Hoef et al., 2006</xref>). We focused on tidal creek changes in each 5-year period; the branching sites (e.g., confluence sites) in the beginning year were selected as objective sites (nodes). The hydrological distances between the objective sites in the ending year were selected as edges. Hydrological distances between lost objective sites were set to an infinite value (9999) to show the two sites were unconnected. By quantifying the changes between lost nodes caused by landscape features, their influence on hydrological connectivity could be reflected. The Spatial Tools for the Analysis of the River Systems (STARS) toolbox in ArcGIS 10.5 (<xref ref-type="bibr" rid="B25">Peterson and Ver Hoef, 2014</xref>) and the R package Spatial Stream Network (SSN) were used to calculate the hydrological distances between objective sites in tidal creeks, which referred to river system (<xref ref-type="bibr" rid="B33">Ver Hoef et&#xa0;al., 2014</xref>). The direction of the ebb tide was taken as the direction of tidal creek networks to be consistent with the terms defined in the river system in the software. The detailed steps for calculation were as follows.</p>
<p>First, the STARS toolbox was used to identify the topological relationships between features in the tidal creek data. Because the topological relationships were the basis for analyzing connectivity, adjacency, and directional relationships in a network, they were not stored in the format of extracted tidal creeks (shapefile) (<xref ref-type="bibr" rid="B25">Peterson and Ver Hoef, 2014</xref>). Specifically, the polyline to landscape network tool was used to transform the extracted tidal creek data from polyline format to landscape network format. Tools to check network topology, clean braided channels, and identify complex confluences were then used to eliminate topological errors in the tidal creek networks. Considering that the tidal creek segment may change during the 5-year period, the snap points to landscape network edges tool was used to ensure the objective sites were located on the tidal creek segment. After these preprocessing steps, the upstream distances tool of edges and sites was used for calculating upstream distances that were defined as the length of the continuous line from any location on the tidal creek network to its outlet (the most downstream location of the tidal creek network) (<xref ref-type="bibr" rid="B25">Peterson and Ver Hoef, 2014</xref>). Upstream distance based on edges was calculated between the stream outlet and the most downstream points. An upstream distance based on edges was calculated between the stream outlet and selected sites. Both were needed in the calculation of hydrological distances between objective sites. The Create SSN object tool was used to store the information of upstream distance in a.ssn object that can be statistically computed and graphed in an R environment (<xref ref-type="bibr" rid="B25">Peterson and Ver Hoef, 2014</xref>). At the same time, this tool also generated network identifiers (IDs) and binary IDs in the.ssn object. Network IDs could distinguish different tidal creeks. Binary IDs were assigned in each segment in one tidal creek to identify flow-connected and flow-unconnected segments. The R package SSN was at last used to calculate hydrological distances between objective sites on flow-connected and flow-unconnected segments. Specifically, command importing was used to open the.ssn object, and command creatDisMat was used to generate the matrix of the hydrological distance between objective sites in each tidal creek network.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Quantifying values of resistance surfaces</title>
<p>Commute distances among the bifurcation sites in each tidal creek network could be calculated based on the resistance surfaces, according to random walk and resistance theory (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Commute distance, or resistance distance, was a graph-theoretic distance metric that was defined as the effective resistance between the nodes when each graph edge was replaced by conductance (<xref ref-type="bibr" rid="B22">McRae, 2006</xref>; <xref ref-type="bibr" rid="B44">Zeller et&#xa0;al., 2012</xref>). The commute distance was calculated based on the resistance surface. When comparing different commute distances from different resistance surfaces with the hydrological distance between the same objective sites, the resistance surface with the most fitted commute distance (to hydrological distance) could reflect the influence of landscape features on the tidal creeks (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). An R package, ResistanceGA v.4.0-14 was used to execute the calculation of commute distances and the comparison (<xref ref-type="bibr" rid="B24">Peterman, 2018</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Framework for landscape resistance quantification. <bold>(A)</bold> Resistance distance calculation; <bold>(B)</bold> Resistance surface assignment based on observed hydrological distance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g002.tif"/>
</fig>
<p>The landscape features in the YRD that have the potential to influence tidal creek connectivity were classified into five categories (reclaimed land, sea enclosure activities, freshwater resource facilities, coastal wetland of saltwater, and engineering in oil fields) (details in Resistance surfaces generation). Each category that influenced tidal creek connectivity was considered one of the components of the resistance surface. To identify specific categories that have an influence on tidal creeks, all combinations of the five categories were generated (e.g., the Reclaim. Oil surface was composed of reclaimed land category and engineering in oil fields category). Each combination of categories formed a potential resistance surface. Each resistance surface was transformed into ASCII format to calculate commute distances. A series of random values were generated using genetic algorithms to assign landscape features to the category (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Commute distances between objective sites based on the assigned resistance surface were compared with hydrological distances between the same sites using a linear mixed-effect model named MLPE in the ResistanceGA. By comparing marginal <italic>R</italic>
<sup>2</sup> (reflecting the influence of the fixed effect in the model, which is the landscape feature here) of the models, the most fitted commute distance could be selected, and the values on the resistance surface thus reflected the resistance degree. Apart from the comparison between models based on one resistance surface, models of resistance surfaces with all combinations of categories were also compared using the all_comb command in the ResistanceGA. By comparing the marginal <italic>R</italic>
<sup>2</sup>, or AIC, and running a bootstrap procedure, the most fitted model could be selected according to the rank. Resistance surface values in the corresponding resistance surface were regarded as the value that most closely resembled reality.</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Tidal creek extraction</title>
<p>To understand the changes in the hydrological connectivity of tidal flats in the YRD, we extracted tidal creeks from Landsat images over the past 35 years at 5-year intervals. Level-1 Precision and Terrain (L1TP) data of Landsat-5 Thematic Mapper (TM) and Landsat-8 Operational Land Imager (OLI) were available from the United States Geological Survey (USGS) Earth Explorer (<xref ref-type="bibr" rid="B32">Survey, U.S. G., 2022</xref>). Images with a cloud cover of less than 10% were chosen. All images were pre-processed by ENVI 5.3. Radiometric calibration and Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) were used to eliminate the errors from sensors, solar radiation, and the atmosphere. (The information from the images, as well as the specific year chosen, are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Dates of satellite images used for tidal creek extraction with the corresponding Landsat sensor.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">1985</th>
<th valign="top" align="center">1990</th>
<th valign="top" align="center">1995</th>
<th valign="top" align="center">2000</th>
<th valign="top" align="center">2005</th>
<th valign="top" align="center">2010</th>
<th valign="top" align="center">2015</th>
<th valign="top" align="center">2020</th>
</tr>
<tr>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">TM</th>
<th valign="top" align="center">OLI</th>
<th valign="top" align="center">OLI</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">0314</td>
<td valign="top" align="center">0312</td>
<td valign="top" align="center">0206</td>
<td valign="top" align="center">0307</td>
<td valign="top" align="center">0305</td>
<td valign="top" align="center">0506</td>
<td valign="top" align="center">0213</td>
<td valign="top" align="center">0314</td>
</tr>
<tr>
<td valign="top" align="center">0501</td>
<td valign="top" align="center">0515</td>
<td valign="top" align="center">0310</td>
<td valign="top" align="center">0408</td>
<td valign="top" align="center">0422</td>
<td valign="top" align="center">0607</td>
<td valign="top" align="center">0301</td>
<td valign="top" align="center">0330</td>
</tr>
<tr>
<td valign="top" align="center">0805</td>
<td valign="top" align="center">0616</td>
<td valign="top" align="center">0326</td>
<td valign="top" align="center">0611</td>
<td valign="top" align="center">0524</td>
<td valign="top" align="center">0911</td>
<td valign="top" align="center">0504</td>
<td valign="top" align="center">0415</td>
</tr>
<tr>
<td valign="top" align="center">1,125</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0918</td>
<td valign="top" align="center">1,017</td>
<td valign="top" align="center">1,015</td>
<td valign="top" align="center">1,013</td>
<td valign="top" align="center">0520</td>
<td valign="top" align="center">0501</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,004</td>
<td valign="top" align="center">1,102</td>
<td valign="top" align="center">1,031</td>
<td valign="top" align="center">1,029</td>
<td valign="top" align="center">0,606</td>
<td valign="top" align="center">0517</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,105</td>
<td valign="top" align="center">1,220</td>
<td valign="top" align="center">1,116</td>
<td valign="top" align="center">1,216</td>
<td valign="top" align="center">1,011</td>
<td valign="top" align="center">0906</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,121</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,027</td>
<td valign="top" align="center">0922</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,223</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">1,024</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To calculate the hydrological distance between specific sites, we focused on the center line of tidal creeks. Considering that the small creeks (e.g., first order according to the Horton&#x2013;Strahler method) were difficult to extract from tidal flats using the automatic methods, visual interpretation was employed for creek extraction. Considering the strong impact of tidal conditions on the appearance of tidal creeks in the images, we used the nonstandard false-color image to assist with the extraction. Because this combination of bands could better distinguish the boundaries between water bodies and land, it could help identify tidal creeks from tidal flats. Command of change RGB bands in ENVI 5.3 was used to execute the band combination of near-infrared bands, short-wave near-infrared bands, and red bands (453 and 564 for TM and OLI, respectively). The combination emphasizes water, which is often used to distinguish the boundaries between water and land in the coastline and tidal flat surveys.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Generation of resistance surfaces</title>
<p>The landscape features of sea reclamation activities in the YRD were obtained from the Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, to represent the resistance surface in the YRD. The sea reclamation activities in this dataset include categories of city construction land, port, industrial land, dry farmland, forest, bare land and tourism land, grass, salt pans, mariculture ponds, rivers, and reservoirs. On this basis, we reclassified these features into four categories, according to their similarities. City construction land, port, industrial land, dry farmland, forest, bare land, tourism land, and grass were classified as reclaimed land. Salt pans and mariculture ponds were classified as sea enclosure activities. Rivers, reservoirs, and offshore water were classified as freshwater resource facilities. Considering the high intensity and large temporal and spatial scale of oil exploration in the YRD, we also identified engineering in oil fields, including oil wells, roads leading to different oil wells, and oil fields that occupied large areas of land. In addition, coastal salt marshes and tidal flats were classified as coastal wetlands. All such surface data were processed into a raster stack to accommodate the requirements of the algorithm. The constructed resistance surface contains both a single and a combination of the sea reclamation activity categories (composite resistance surface).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Identification of the key resistance surfaces for hydrological connectivity</title>
<p>The landscape resistance inversion results of tidal creeks with changes in 5-year intervals that were significantly related to landscape resistance revealed that resistance surfaces and the number of tidal creeks were different in different zones and at different times. Only resistance surfaces containing sea reclamation activity categories (with <italic>R</italic>
<sup>2</sup> higher than 0.1) are shown as the leading resistance surface in the rank of all possible resistance surface combinations in each tidal creek (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) (the model result with optimal resistance surfaces composed of only coastal wetland of saltwater, null model, and distance model is not listed in the table). In general, the period of 1990&#x2013;1995 had the greatest number of tidal creeks influenced by resistance surfaces, followed by the period of 2000&#x2013;2005. The creek ID in each zone demonstrates that the influence of resistance surfaces at different times can be seen in the same tidal creeks. The majority of resistance surfaces are composite resistance surfaces, with two surfaces of either human activity or natural elements. Based on the specific resistance surfaces identified in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, we discovered that sea enclosure activity played a significant role in the formation of resistance surfaces in the majority of zones, as such activities were present in the majority of resistance surfaces in zones 1, 3, 4, 5, and 6. Freshwater resource facilities are the second surface resistance component since these facilities were involved in the majority of zone 2 and 6 resistance surfaces. Engineering in oil fields also contributed to zone 4 resistance surfaces. 
</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Landscape resistance surface inversion results in period of 5-year interval in each zone.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Zone</th>
<th valign="top" align="center">Creek ID</th>
<th valign="top" align="center">Period</th>
<th valign="top" align="center">Resistance surface</th>
<th valign="top" align="center">R<sup>2</sup>m</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="top" align="center">0.74<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Reclaim.Oil</td>
<td valign="top" align="center">0.10<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh.Oil</td>
<td valign="top" align="center">0.25<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2000-2005</td>
<td valign="top" align="center">Salt.Reclaim</td>
<td valign="top" align="center">0.89<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Fresh.Enclose</td>
<td valign="middle" align="center">0.32<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="middle" align="center">0.37<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2010-2015</td>
<td valign="top" align="center">Enclose</td>
<td valign="middle" align="center">0.54<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh.Salt.Enclose.Reclaim</td>
<td valign="top" align="center">0.10<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh</td>
<td valign="top" align="center">0.19<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Salt.Reclaim</td>
<td valign="top" align="center">0.33<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="top" align="center">0.20<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1995-2000</td>
<td valign="top" align="center">Fresh</td>
<td valign="top" align="center">0.14<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh.Enclose</td>
<td valign="top" align="center">0.49<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Enclose.Oil</td>
<td valign="top" align="center">0.36<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2000-2005</td>
<td valign="top" align="center">Enclose.Oil</td>
<td valign="middle" align="center">0.65<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Fresh.Enclose.Oil</td>
<td valign="middle" align="center">0.33<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Fresh.Salt.Reclaim</td>
<td valign="middle" align="center">0.90<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Salt.Oil</td>
<td valign="top" align="center">0.83<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2000-2005</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="middle" align="center">0.17<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Oil</td>
<td valign="middle" align="center">0.64<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2010-2015</td>
<td valign="top" align="center">Fresh.Enclose.Reclaim</td>
<td valign="top" align="center">0.11<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Enclose</td>
<td valign="top" align="center">0.42<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Enclose.Reclaim</td>
<td valign="top" align="center">0.34<sup>**</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1995-2000</td>
<td valign="top" align="center">Fresh.Salt</td>
<td valign="middle" align="center">0.95<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2000-2005</td>
<td valign="top" align="center">Enclose</td>
<td valign="middle" align="center">0.33<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="middle" align="center">0.46<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Reclaim</td>
<td valign="middle" align="center">0.44<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1985-1990</td>
<td valign="top" align="center">Fresh.Reclaim</td>
<td valign="top" align="center">0.13<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh.Enclose</td>
<td valign="top" align="center">0.25<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1990-1995</td>
<td valign="top" align="center">Fresh.Enclose</td>
<td valign="top" align="center">0.63<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1995-2000</td>
<td valign="top" align="center">Fresh.Enclose</td>
<td valign="middle" align="center">0.17<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Reclaim</td>
<td valign="middle" align="center">0.29<sup>***</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2005-2010</td>
<td valign="top" align="center">Salt.Enclose</td>
<td valign="middle" align="center">0.89<sup>***</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CreekID represents each tidal creek number. Their names with dot separated are composite resistance surfaces. Fresh is short for freshwater resource facilities, Salt is short for coastal wetland of saltwater, Reclaim is short for reclaimed land, Enclose is short for sea enclosure activity. Oil is short for engineerings in oil field. R<sup>2</sup>m=marginal R<sup>2</sup>. Significant values are: <sup>*</sup>&lt;0.05, <sup>**</sup>&lt;0.01, <sup>***</sup>&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Spatial&#x2013;temporal variation of quantified resistance values</title>
<p>The result of the spatial-temporal distribution of resistance values in the YRD showed that high and low resistance values were distributed in different areas in different periods (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f5">
<bold>5</bold>
</xref>). According to the intensity of human activity and the invention time, the six zones were divided into three groups for analysis. Zones 1, 2, and 5 were grouped together because their human activities began at about the same time in the 1990s (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Zones 3 and 6 were grouped together as their human activities began the earliest (and earlier than the time scale in this study) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Zone 4 was a single group with supposed minimal human intervention as the National Natural Reserve of the YRD is located within it (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The findings revealed two types of connections between landscape elements and resistance values. One is that a single landscape feature had a single resistance value, such as mariculture in zone 1 with a resistance value of 0.12 in 1990&#x2013;1995 in tidal creek 1 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Another is in the form of component features (CF), such as the CF-1 in zone 1 with a resistance value of 0.07 in tidal creek 2 in 1990&#x2013;1995 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). CF-1 contained reservoir, mariculture, salt marsh, and tidal flat landscape features (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). In the case of the former, each landscape feature had a single resistance value, therefore we referred to them as independent features. By comparison, for the latter, as multiple landscape features had a single resistance value, we termed them composite features. According to the circuit theory, higher resistance values might arise from attributes of landscape features or the distribution of the landscape features (<xref ref-type="bibr" rid="B22">McRae, 2006</xref>). From this point, independent features might be more likely to reflect the influence of landscape feature attributes than the same landscape features with the same resistance value. In addition, composite features might be more likely to reflect the influence of the distribution of the landscape features, as distinct landscape features in them did not make the resistance values different.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Spatial distribution of relative resistance values at resistance surfaces in zone 1<bold>(A)</bold>, 2<bold>(B)</bold>, and 5<bold>(C)</bold>. The number in parentheses represents the serial number of each influenced tidal creek (creek ID). CF, composite feature.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Spatial distribution of relative resistance values at resistance surfaces in zone 3<bold>(A)</bold> and 6<bold>(B)</bold>. The number in parentheses represents the serial number of each influenced tidal creek (creek ID). CF, composite feature.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Spatial distribution of relative resistance values at resistance surfaces in zone 4. The number in parentheses represents the serial number of each influenced tidal creek (creek ID). CF, composite feature.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g005.tif"/>
</fig>
<p>Agriculture (0.91), reservoir (0.92), and mariculture (1.00) in zone 5 were the independent feature types with the highest resistance values in zones 1, 2, and 5 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, the initial stage of human activities) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). In zone 1, CF-4 (0.94) has the highest resistance value in composite features (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Other high values in resistance surface, both independent and composite features, are around or lower than 0.5. In zones 3 and 6 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, the mature stage of human activities), the independent feature types with the greatest resistance values arise in the river (0.97) in zone 6 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) and mariculture (0.67) in zone 3. The highest resistance values in composite features were found in CF-3 (0.58) in zone 6 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) and CF-1 (0.50) in zone 3 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Other high values in resistance surface, both independent and composite features, are around or less than 0.7. In zone 4 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, reserve), the independent feature types with the highest resistance values appear in mariculture (0.78). Other high values on the resistance surface, primarily independent features, are less than 0.5. The results demonstrate that in regions with early phases of human activity, several specific features play key roles in the form of resistance, and they have an exceptionally high value. In comparison, the average value of landscape features was higher in places with mature stages of human activity than in areas with early stages of human activity.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Responses of tidal creek changes to resistance surface</title>
<p>The spatial distribution and their changes in the length of impacted tidal creeks by sea reclamation activities (influenced tidal creeks, for short) revealed that the tidal creeks in different zones had varied characteristics (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Tidal creeks in zones 1 and 2 had the most lost edges, and their mean length was significantly longer than in other zones (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Tidal creeks in zone 4 had more edges that had changed length (increased or reduced) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). Tidal creeks in the other three zones all revealed a pattern of only one tidal creek changing significantly over a 5-year interval and other tidal creeks changing somewhat in edge number or edge length (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B, C, E, F</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Spatial distribution of influenced tidal creeks in zone 1<bold>(A)</bold>, zone 2<bold>(B)</bold>, zone 3<bold>(C)</bold>, zone 4<bold>(D)</bold>, zone 5<bold>(E)</bold>, and zone 6<bold>(F)</bold>. Bar graphs of the edge length changes of the tidal creeks. The numbers in parentheses distinguish different tidal creeks of the same period.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1164065-g006.tif"/>
</fig>
<p>Tidal creeks impacted by resistance surfaces (influenced tidal creeks, for short) were distributed across the Yellow River Delta near abandoned estuaries from the Yellow River&#x2019;s previous course. The Yellow River has changed its course thousands of times due to accumulative landform (due to significantly more sediment and less water in the river), resulting in juxtaposed and imbricated deltaic lobes around the river mouths at different times (<xref ref-type="bibr" rid="B46">Zhang et&#xa0;al., 2018</xref>). The Taoer River estuary was the source of the most impacted tidal creeks in zone 1 from 1990 to 1995. Tidal creeks have formed in the Taoer River estuary since the Yellow River left. Because the Taoer River was one of the first routes that the Yellow River took to reach the sea (around 1904&#x2013;1917), tidal creeks in the Taoer River estuary have developed for a long time. In zone 2, the Tiao River estuary had the greatest two impacted tidal creeks in the 1990&#x2013;1995 and 1995&#x2013;2000 periods (the Tiao River was the course that the Yellow River used to flow into the sea in 1917&#x2013;1925). The three impacted tidal creeks in zone 3 were near the Stream Shenxian, which is the course that the Yellow River used to take into the sea in 1953&#x2013;1960. The Stream Tianshui estuary in zone 4 had the most impacted tidal creek (the Stream Tianshui was the course that the Yellow River used to flow into the sea around 1934&#x2013;1953). Another impacted tidal creek from the years 2000 to 2010 was in the Stream Qingshui estuary (the Stream Qingshui was the route that the Yellow River took to reach the sea from 1976 to 1996). Tidal creeks of the Zhimai River estuary were impacted in zone 5 (the Zhimai River was the course that the Yellow River used to flow into the sea in 1929).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Resistance as a result of human activity and tidal flat evolution</title>
<p>Resistance to movement values provided a quantitative estimate of how landscape features or environmental parameters affect movement. &#x201c;resistance&#x201d; refers to an organism&#x2019;s willingness, costs, or friction when traveling or moving on a surface (<xref ref-type="bibr" rid="B22">McRae, 2006</xref>; <xref ref-type="bibr" rid="B44">Zeller et&#xa0;al., 2012</xref>). Resistance is utilized in this study to represent the degree to which sea reclamation activities impede or promote water flow movement. The resistance surfaces of various tidal creeks with more than one impacted period varied at different periods. This finding was related to the rate of development of the YRD in the most recent 30 years. Specifically, mariculture activities in zones 1, 2, and 5 (in Zhanhua, Hekou District, and Dongying District) began in the mid-1980s, and generally obtained better yield and expanded the active area in the mid of 1990s after experiencing some technical difficulties and mariculture management measure adjustments (<xref ref-type="bibr" rid="B10">Committee, 2002</xref>; <xref ref-type="bibr" rid="B9">Committee, 2008</xref>; <xref ref-type="bibr" rid="B11">Committee, 2010</xref>). Consequently, mariculture has not yet become a resistance surface in these zones over the periods of 1985&#x2013;1990 and 1990&#x2013;1995. During that time, freshwater resource facilities served as resistance surfaces. Storm surges began to harm people and property more regularly as mariculture began to thrive in the tidal flats. When large-scale mariculture activities began after 1995, dikes and hydraulic engineering along the mainstream and near the estuaries of the rivers were built to higher engineering standards (<xref ref-type="bibr" rid="B11">Committee, 2010</xref>). As a result, alterations in tidal creeks may occur at the start of resource-use activities. In other words, resource utilization activities may serve as driving forces for the creation of resistance surfaces.</p>
<p>The spatial distribution of influenced tidal creeks exhibited a pattern related to tidal creek evolution. In the first five zones, the impacted tidal creeks, which were generally large-scale tidal creeks, were distributed near estuaries along previous courses of the Yellow River (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Taking zone 1 as an example, as far from the Yellow River&#x2019;s current estuary (the Stream Qingshui estuary in zone 4), it has been affected only minimally by sediment from the recent course of the Yellow River, and the coastline in this area has changed slowly. As a relatively stable condition for tidal creek development, tidal creeks were thus extremely developed before 1985, when dike constructions began (<xref ref-type="bibr" rid="B18">Huang and Fan, 2004</xref>). Similarly, for zones 2 and 5, tidal creeks began developing when human activity began (<xref ref-type="bibr" rid="B10">Committee, 2002</xref>; <xref ref-type="bibr" rid="B9">Committee, 2008</xref>). The existence of increased and newly developed edges also revealed that many influenced tidal creeks were still developing. Thus, the formation of resistance was not only due to human activity but also the natural evolution of tidal creeks was an important aspect in the early stages of resistance formation.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Management implications</title>
<p>The results of different resistance values of human activities influencing hydrological connectivity revealed that the same type of human activity could have different influences at different times and spaces. The resistance value depended on the intensity of the human activity itself, for example, the area of sea reclamation activities. During approved sea reclamation activities in the YRD, strict classification has been made to regulate different human activities (<xref ref-type="bibr" rid="B47">Zhou, 2017</xref>; <xref ref-type="bibr" rid="B21">Liu, 2020</xref>). For example, in Shandong province, for reclamation projects that change the property of the sea completely, such as port and dike, projects with areas between 60 and 100 hm<sup>2</sup> should be applied to provincial government agencies (<xref ref-type="bibr" rid="B1">Administration, 2008</xref>). By comparison, projects that did not change the property of the sea with areas between 500 and 700 hm<sup>2</sup>, such as bathing beaches, should be applied to the provincial government (<xref ref-type="bibr" rid="B1">Administration, 2008</xref>). However, the classification for each project was only based on the properties of each human activity. Although the impacts of sea reclamation activities on ecosystems have been assigned to environmental impact assessment the environmental impact assessments for reclamation activity projects have considered the impacts on the environment in aspects of hydrodynamic, water quality, landforms, oceanic sediment, and so on, it does not take hydrological connectivity of tidal creeks into consideration in the indexes. More comprehensive regulatory approval steps may be needed to take the impacts of the project on spatially explicit tidal creek connectivity into the evaluation system to classify projects, rather than the current criteria that only focused on project attributes. One of the suggested ways could be that resistance values related to tidal creek connectivity could first be calculated for each land use zone in the planning stage, which could make into a single resistance map. In the steps to check the location of the project in the planning map, the resistance zone of the project could be identified according to its location. Thus, the attributes to classify projects could include project types, area, as well as its resistance value.</p>
<p>The relationship between tidal flat evolution and resistance surface development revealed that there were several previous estuaries with the potential to develop large-scale tidal flats and become stopover hotspots along shorebirds&#x2019; migratory routes. However, the government of these estuaries has not utilized the ecological value of tidal flats to both benefit local government and regional ecological safeguards. Instead, all the governments of the estuaries focused on resource development activities, for example, mariculture activities, to increase fiscal revenue. By comparison, in zone 4, as large-scale tidal flat and coastal salt marsh ecosystems are well preserved, developing tourism is chosen by the local government, which has also proved to be a good way to both increase fiscal revenue and maintain the ecosystem&#x2019;s benefits. Thus, a good understanding of the potential of resources within the jurisdictional zones is necessary for local governments in the YRD to choose the best way for sustainable development. This required systematic monitoring of the ecosystems and sufficient conservation awareness. Although human activity has caused the most tidal flat loss, except for that in the National Reserve of the Yellow River Delta (<xref ref-type="bibr" rid="B28">Shi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2019</xref>), local areas with developing tidal creeks still exist, including, for example, the Zhimai River estuary. Despite the fewer areas for conservation in regions such as the YRD, which has severe human activity, attention could also be paid to restoration, for example, returning mariculture to tidal flats (<xref ref-type="bibr" rid="B45">Zhang, 2022</xref>). According to the potential tidal and hydrodynamic conditions, further tidal flat development may also exist in some areas.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Sea reclamation activities have had strong impacts on tidal creeks. The method we used in this study provided a quantified analysis to assess the impacts of human activities on tidal creeks over a 5-year time scale. In the YRD, the periods of 1990&#x2013;1995 and 2000&#x2013;2005 had the greatest number of tidal creeks influenced by resistance surfaces. Most resistance surfaces were composite, the majority of which contained two surfaces. Resistance surfaces of sea enclosure activity, freshwater resource facilities, and engineering in oil fields played a major role in creating resistance surfaces. In areas at the initial development stage, the highest resistance values appeared in mariculture (1.00), reservoir (0.92), and agriculture (0.91). In areas at mature development stages, the highest resistance values appeared in the river (0.97) and mariculture (0.67). Therefore, in the natural resource governance in coastal zones, the plans for reclamation activity, particularly for mariculture, should make sure that their locations have no conflict with tidal creeks. As the formation of resistance was from both human activities and the natural evolution of tidal creeks, it is necessary to take the conditions of tidal creek development into consideration in the planning. Also, for the tidal creek that is in developing conditions, a resource utilization pattern that can benefit both economics and ecology is advised. To achieve this goal, a comprehensive understanding of resources in tidal flats is needed, which requires systematic monitoring and sufficient conservation awareness.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YM and BC designed the research. YM and FZ collected the data. YM analyzed the data and drafted the manuscript. QW reviewed the manuscript. All authors contributed to the manuscript drafts. All authors contributed to the article and approved the submitted version</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The study was supported financially by the Key Project of the National Natural Science Foundation of China (U2243208), the National Natural Science Foundation of China (52271256), the National Science Foundation for Young Scientists of China (42107057), and the National Postdoctoral Program for Innovative Talents (BX20220040).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author FZ was employed by the company China Construction Eco-Environmental Group Co. Ltd.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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