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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Span. J. Soil Sci.</journal-id>
<journal-title>Spanish Journal of Soil Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Span. J. Soil Sci.</abbrev-journal-title>
<issn pub-type="epub">2253-6574</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">11737</article-id>
<article-id pub-id-type="doi">10.3389/sjss.2023.11737</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Science archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Seasonality on Copper Bioavailaility to Crabs (<italic>Ucides cordatus</italic>, Linnaeus, 1763) in Mangrove Soils of Todos os Santos Bay (Bahia, North Eastern Brazil)</article-title>
<alt-title alt-title-type="left-running-head">Ramos et al.</alt-title>
<alt-title alt-title-type="right-running-head">Seasonality of Copper Bioavailability</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ramos</surname>
<given-names>M&#xf4;nica A. V.</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/2368452/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>N&#xf3;brega</surname>
<given-names>Gabriel N.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ferreira</surname>
<given-names>Tiago. O.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Otero</surname>
<given-names>Xos&#xe9; L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1239337/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Centro Interdisciplinar de Investigaci&#x00F3;n en Tecnolog&#x00ED;as Ambientales</institution>, <institution>Departamento de Edafolox&#xed;a e Qu&#xed;mica Agr&#xed;cola</institution>, <institution>Facultade de Biolox&#xed;a</institution>, <institution>Universidade de Santiago de Compostela</institution>, <addr-line>Santiago de Compostela</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centro de Ci&#xea;ncias Agr&#xe1;rias</institution>, <institution>Ambientais e Biol&#xf3;gicas (CCAAB)</institution>, <institution>Universidade Federal do Rec&#xf4;ncavo da Bahia</institution>, <addr-line>Cruz das Almas</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Departamento de Ci&#xea;ncias do Solo</institution>, <institution>Centro de Ci&#xea;ncias Agr&#xe1;rias (CCA)</institution>, <institution>Universidade Federal do Cear&#xe1;</institution>, <addr-line>Fortaleza</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Soil Science</institution>, <institution>College of Agriculture Luiz de Queiroz</institution>, <institution>University of S&#xe3;o Paulo</institution>, <institution>Escola Superior de Agricultura &#x201C;Luiz de Queiroz&#x201D; da Universidade de S&#x00E3;o Paulo</institution>, <addr-line>Piracicaba</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Rede de Estaci&#xf3;ns Biol&#xf3;xicas da Universidade de Santiago de Compostela (REBUSC)</institution>, <institution>Estaci&#xf3;n de Biolox&#xed;a Mari&#xf1;a da Gra&#xf1;a</institution>, <addr-line>Ferrol</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/89410/overview">Avelino N&#xfa;&#xf1;ez-Delgado</ext-link>, University of Santiago de Compostela, Spain</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xos&#xe9; L. Otero, <email>xl.otero@usc.es</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>11737</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Ramos, N&#xf3;brega, Ferreira and Otero.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ramos, N&#xf3;brega, Ferreira and Otero</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>Crab and soil samples were seasonally collected at four mangrove sites (Cacha Prego, CP; Ponta Grossa, PG; Ilha de Mar&#xe9;, IM; and Pitinga, PT) in Todos os Santos Bay, in NE Brazil. Total Cu levels in soils ranged from 2.5 to 89.4&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, while in crab organs (muscles, hepatopancreas, and gills), Cu ranged from 20 to 1,320&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, with the highest concentrations found in the Ilha de Mar&#xe9; population, where soils showed a clear Cu enrichment. Total Cu content did not explain the abnormally high Cu concentrations observed in crabs from Pitinga, where total content in soil was low. Geochemical partitioning indicated that most of the potentially bioavailable Cu was found in the oxidizable fractions, pyrite and organic matter. Pyrite oxidation during the dry season led to increased Cu bioavailability. This process was of relevance in soils of the Pitinga mangrove, where sulfide oxidation led to soil acidification and to an increase in Cu associated with the most labile fractions.</p>
</abstract>
<kwd-group>
<kwd>geochemistry</kwd>
<kwd>Cu partitioning</kwd>
<kwd>bioaccumulation</kwd>
<kwd>mangrove forest</kwd>
<kwd>Brazil</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Mangroves, which are coastal ecosystems located in transitional areas between the terrestrial and marine environments and subjected to tidal regimes, are highly productive environments associated with the provision of a wide range of ecosystem products and services (<xref ref-type="bibr" rid="B6">Barbier et al., 2011</xref>; <xref ref-type="bibr" rid="B63">Tr&#xe9;garot et al., 2021</xref>). Mangrove soils are characterized by pH values close to neutral, suboxic conditions on the surface and anoxic conditions in depth, and generally high contents of organic matter (OM), Fe oxyhydroxides on the surface, and Fe sulfides in depth (<xref ref-type="bibr" rid="B38">Otero and Mac&#xed;as, 2010</xref>). These properties and composition lead to a high reactivity, which promotes fixation of trace elements (<xref ref-type="bibr" rid="B43">Otero et al., 2010</xref>), turning these ecosystems into major sinks for pollutants (<xref ref-type="bibr" rid="B30">Marchand et al., 2016</xref>).</p>
<p>Todos os Santos Bay (BTS), the second largest bay in Brazil (<xref ref-type="bibr" rid="B22">Hatje and Andrade, 2009</xref>), hosts vast mangrove areas (<xref ref-type="bibr" rid="B21">Hadlich et al., 2008</xref>), many of them close to urban and industrial areas, oil refineries, ports, and sea terminals (<xref ref-type="bibr" rid="B24">Hatje et al., 2009</xref>). Previous studies have shown high concentrations of pollutants in this area, including hydrocarbons (<xref ref-type="bibr" rid="B46">Queiroz and Celino, 2008a</xref>, <xref ref-type="bibr" rid="B47">b</xref>; <xref ref-type="bibr" rid="B57">Silva et al., 2014</xref>) and trace elements, mostly copper (<xref ref-type="bibr" rid="B23">Hatje and Barros, 2012</xref>; <xref ref-type="bibr" rid="B3">Andrade et al., 2017</xref>). Despite pollution having been reported in the BTS (<xref ref-type="bibr" rid="B31">Milazzo et al., 2014</xref>; <xref ref-type="bibr" rid="B53">Rocha et al., 2016</xref>; <xref ref-type="bibr" rid="B3">Andrade et al., 2017</xref>), most of the studies carried out focused on total levels in soil and sediments, with works on bioavailability based mainly on the quantification of acid-volatile sulphides and metals extracted simultaneously (AVS-Me; <xref ref-type="bibr" rid="B58">Silva-J&#xfa;nior et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Brito et al., 2020</xref>). This technique has limitations with regard to the quantification of sulfides, with underestimation of concentrations in the system as well as of metallic bioavailability (<xref ref-type="bibr" rid="B14">Cooper and Morse, 1998</xref>; <xref ref-type="bibr" rid="B28">Luther, 2005</xref>), since it disregards other associations established between metals and other geochemical phases of soils/sediments (<xref ref-type="bibr" rid="B25">Huerta-D&#xed;as and Morse, 1992</xref>; <xref ref-type="bibr" rid="B39">Otero and Mac&#xed;as, 2003</xref>). Unlike the AVS-Me technique, the sequential extraction of metals (<xref ref-type="bibr" rid="B61">Tessier et al., 1979</xref>; <xref ref-type="bibr" rid="B50">Rauret et al., 1998</xref>) allows analyzing the distribution of trace elements among the different geochemical fractions of the soil/sediment and favors a more comprehensive analysis of the mobility of each element and the processes that regulate its availability to the biota.</p>
<p>Copper can be found in association with different fractions, depending on geochemical conditions and the factors that control its speciation processes under conditions of higher or lower availability to the biota (<xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>; <xref ref-type="bibr" rid="B12">Chakraborty et al., 2015</xref>). Among the shellfish species extracted in the BTS, the crab <italic>Ucides cordatus</italic> is one of the main crustaceans exploited in this region (<xref ref-type="bibr" rid="B59">Soares et al., 2009</xref>; <xref ref-type="bibr" rid="B33">Mota et al., 2023</xref>) and one of the most consumed throughout the country (<xref ref-type="bibr" rid="B45">Pinheiro et al., 2016</xref>). It is considered a bioindicator of pollution in mangroves, as it bioaccumulates both organic pollutants and trace elements in its tissues (<xref ref-type="bibr" rid="B35">Nudi et al., 2007</xref>; <xref ref-type="bibr" rid="B2">Almeida et al., 2014</xref>; <xref ref-type="bibr" rid="B56">Silva et al., 2018</xref>; <xref ref-type="bibr" rid="B49">Ramos and Leite, 2022</xref>).</p>
<p>Considering the scarce information about Cu distribution among the geochemical fractions and its bioavailability, along with the importance of <italic>Ucides cordatus</italic> in the BTS, the objectives of this study were 1) to understand the geochemical behavior of this element in mangrove soils using a sequential extraction method and 2) to study the transfer of Cu to biota using the crab <italic>Ucides cordatus</italic> as a potential bioindicator species in this region.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Material and Methods</title>
<p>The study was carried out in four mangrove sites (<xref ref-type="fig" rid="F1">Figure 1</xref>). Two of them were located at the entrance of the bay (Cacha Prego, CP; and Ponta Grossa, PG), both in more undeveloped areas; another one located in the northeast region (Ilha de Mar&#xe9;, IM), close to industrial areas and maritime ports, and another one in the northern region (Pitinga, PT), in the Suba&#xe9; River estuary, an area with a history of metal pollution associated with an abandoned metallurgical factory (<xref ref-type="bibr" rid="B24">Hatje et al., 2009</xref>; <xref ref-type="bibr" rid="B52">Rocha et al., 2012</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Location of sampling sites in the Todos os Santos Bay and general view of the four studied mangroves.</p>
</caption>
<graphic xlink:href="sjss-13-11737-g001.tif"/>
</fig>
<p>Mangroves in IM and CP are comprised of monospecific <italic>Rhizophora mangle</italic> (L.) forests, while PT and PG show mixed patches composed of <italic>R. mangle</italic> and <italic>Laguncularia racemosa</italic> (L.)<italic>.</italic> These sites were selected to cover different sections of the BTS, thus analyzing potential spatial variations according to the degree of exposure to anthropogenic stressors, the composition of the different forests, and soil characteristics in each mangrove, both to establish baseline values and to better understand soil-to-biota transfer processes.</p>
<p>Twelve soil samples, each consisting of a pool of three individual samples, were collected at low tide during the dry season (DS: dry season 2020/2021) and during the rainy season (WS: wet season 2021) at depths of 0&#x2013;5&#xa0;cm (surface - S) and 15&#x2013;30&#xa0;cm (depth - D). Determinations of pH and Eh were performed <italic>in situ</italic> using a portable device (HI8424, Hanna Instruments) (<xref ref-type="bibr" rid="B68">Souza et al., 2007</xref>). The contents of sand and fine fraction (silt &#x2b; clay) were determined by sifting through a 2&#xa0;mm sieve to obtain the fine Earth fraction, then through a 0.05&#xa0;mm sieve to separate the fine sand from the fine fraction (silt and clay particles) (<xref ref-type="bibr" rid="B1">Almeida et al., 2012</xref>. <xref ref-type="bibr" rid="B68">Souza et al. (2007)</xref>, while total organic carbon (TOC) content was determined using an elemental analyzer (FlashEA1112, ThermoFinnigan). For TOC analysis, all soil samples had been previously subjected to acid attack using 10&#xa0;mL HCl (1N) to remove carbonates (<xref ref-type="bibr" rid="B55">Schumacher, 2002</xref>; <xref ref-type="bibr" rid="B66">Nobrega et al., 2015</xref>). After adding the acid solution (HCl), samples were shaken for 1 h, then centrifuged to remove HCl, washed five times in deionized water, and dried in an oven at 60&#xb0;C. All analyzes were carried out on the bulk sample, without separating the granulometric fractions.</p>
<p>To analyze total metal contents, 0.5&#xa0;g of each sample were weighed and digested using 9&#xa0;mL ultrapure nitric acid (HNO<sub>3</sub> 65%) and 3&#xa0;mL ultrapure hydrochloric acid (HCl 37.5%) in a closed-vessel microwave system (Milestone; ETHOS EASY). Geochemical partitioning of Cu was performed using the BCR method (<xref ref-type="bibr" rid="B50">Rauret et al., 1998</xref>) and based on the sequence proposed by <xref ref-type="bibr" rid="B61">Tessier et al. (1979)</xref>, as described below:<list list-type="simple">
<list-item>
<p>&#x2022; Fraction 1: soluble, exchangeable fraction associated with carbonates (ExCa), extracted using 30&#xa0;mL acetic acid (0.11&#xa0;mol&#xa0;L<sup>&#x2212;1</sup>; pH &#x3d; 4.5) and shaking for 16&#xa0;h at 25&#xb0;C.</p>
</list-item>
<list-item>
<p>&#x2022; Fraction 2: fraction associated with amorphous iron oxyhidroxides (Am), extracted using 20&#xa0;mL of solution containing 20&#xa0;g ascorbic acid &#x2b;50&#xa0;g sodium citrate &#x2b;50&#xa0;g bicarbonate &#x2b;1&#xa0;L ultrapure deoxygenated H<sub>2</sub>O (pH 8) and shaking for 24&#xa0;h at 25&#xb0;C.</p>
</list-item>
<list-item>
<p>&#x2022; Fraction 3: fraction associated with crystalline iron oxyhidroxides (Cri), extracted using 20&#xa0;mL of solution containing 73.925&#xa0;g sodium citrate &#x2b;9.24&#xa0;g NaHCO<sub>3</sub> in 1&#xa0;L ultrapure H<sub>2</sub>O, adding 3&#xa0;g sodium dithionite to each sample, and shaking for 30&#xa0;h at 75&#xb0;C.</p>
</list-item>
<list-item>
<p>&#x2022; Fraction 4: reduced forms associated with organic matter and metal sulfides (Red), extracted using 10&#xa0;mL H<sub>2</sub>O<sub>2</sub> (8.8&#xa0;M) and warming in a bath at 85&#xb0;C until evaporated to 3&#xa0;mL, followed by a second addition of 10&#xa0;mL H<sub>2</sub>O<sub>2</sub>. Samples were kept warm in a bath at 85&#xb0;C until evaporated to 1&#xa0;mL, at which point 50&#xa0;mL of AcNH<sub>4</sub> solution were added and samples were shaken for 16&#xa0;h at 25&#xb0;C.</p>
</list-item>
</list>
</p>
<p>The residual fraction (FR) value was calculated as the difference between the total concentration after microwave digestion and the sum of the bioavailable fractions (&#x3a3; F1 -&#x3e; F4).</p>
<p>Twelve <italic>U. cordatus</italic> specimens were collected from each mangrove, washed in distilled water, and subsequently dissected to extract muscle, hepatopancreas, and gills. Tissues were freeze-dried for 72&#xa0;h, ground, and digested on a digestion block with 7&#xa0;mL ultrapure HNO<sub>3</sub> and 2&#xa0;mL ultrapure H<sub>2</sub>O<sub>2</sub>. Mili-Q water was added to the digested material up to a total volume of 25&#xa0;mL. Copper concentrations in each fraction, total content in soil, and contents in animal tissues were determined by inductively coupled plasma-mass spectrometry (Varian 820-MS ICP-MS). The analytical method used was validated using certified reference material for soil (SO-3, Canadian Certified Reference Material Project, Canada), leaves (NIST-1547), and animal samples (NIST-1577b, bovine liver), with recovery rates over 85%. The limit of detection for Cu was 0.005 &#xb1; 0.001&#xa0;mg&#xa0;L<sup>&#x2212;1</sup>, determined as 2.5 times the standard error of the blank (<xref ref-type="bibr" rid="B67">Bruland et al., 1979</xref>).</p>
<p>The results were analyzed using descriptive statistics (Sigmaplot 12.0), and a Kruskal-Wallis non parametric test was applied at a 5% level of significance (XLSTAT 2014) to compare the results obtained from the different study sites. This non-parametric test was selected due to its higher robustness and lower statistical assumption requirements (<xref ref-type="bibr" rid="B51">Reimann et al., 2008</xref>). Likewise, discriminant analysis was applied to verify possible relationships between the studied variables.</p>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Soil Attributes and Components</title>
<p>Texture differed significantly between Ilha de Mar&#xe9; (IM), where soils showed higher proportions of silt and clay (52% &#xb1; 8.6%), and the remaining three sites (<xref ref-type="table" rid="T1">Table 1</xref>). Values for pH ranged from 4.5 to 7.7, with mean soil values close to neutral and without seasonal variations except for Pitinga (PT &#x3d; 4.5&#x2013;7.3), where values during the dry season were lower than during the rainy season and oscillated between highly and moderately acidic (PT&#x2013;DS: surface 4.8 &#xb1; 0.4; depth: 5.9 &#xb1; 0.4).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Soil properties and composition in the studied mangroves (S: 0&#x2013;5&#xa0;cm; D: 15&#x2013;30&#xa0;cm depth).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" colspan="2" align="left">Local</th>
<th colspan="2" align="center">pH</th>
<th colspan="2" align="center">Eh</th>
<th colspan="2" align="center">COT</th>
<th colspan="2" align="center">Fe total</th>
<th rowspan="2" align="center">Areia</th>
</tr>
<tr>
<th align="center">DS</th>
<th align="center">WS</th>
<th align="center">DS</th>
<th align="center">WS</th>
<th align="center">DS</th>
<th align="center">WS</th>
<th align="center">DS</th>
<th align="center">WS</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">IM</td>
<td rowspan="2" align="left">S</td>
<td align="center">6.9<sup>ab</sup>
</td>
<td align="center">6.7<sup>a</sup>
</td>
<td align="center">161<sup>a</sup>&#x2a;</td>
<td align="center">111<sup>b</sup>
</td>
<td align="center">6.0<sup>a</sup>
</td>
<td align="center">5.9<sup>a</sup>
</td>
<td align="center">2.3<sup>a</sup>
</td>
<td align="center">2.3<sup>a</sup>
</td>
<td align="center">43.7<sup>b</sup>
</td>
</tr>
<tr>
<td align="center">(0.1)</td>
<td align="center">(0.1)</td>
<td align="center">(13)</td>
<td align="center">(6)</td>
<td align="center">(0.6)</td>
<td align="center">(1.0)</td>
<td align="center">(0.3)</td>
<td align="center">(0.5)</td>
<td align="center">(6.7)</td>
</tr>
<tr>
<td align="left">D</td>
<td align="center">7.2<sup>a</sup>
</td>
<td align="center">7.2<sup>a</sup>
</td>
<td align="center">97<sup>b</sup>&#x2a;</td>
<td align="center">74<sup>b</sup>
</td>
<td align="center">4.8<sup>a</sup>
</td>
<td align="center">4.8<sup>a</sup>
</td>
<td align="center">2.1<sup>a</sup>
</td>
<td align="center">2.6<sup>a</sup>
</td>
<td align="center">51.4<sup>c</sup>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="center">(0.1)</td>
<td align="center">(0.1)</td>
<td align="center">(6)</td>
<td align="center">(13)</td>
<td align="center">(0.3)</td>
<td align="center">(0.4)</td>
<td align="center">(0.0)</td>
<td align="center">(0.1)</td>
<td align="center">(9.0)</td>
</tr>
<tr>
<td rowspan="3" align="left">PT</td>
<td rowspan="2" align="left">S</td>
<td align="center">4.8<sup>b</sup>&#x2a;</td>
<td align="center">6.8<sup>a</sup>
</td>
<td align="center">164<sup>a</sup>
</td>
<td align="center">146<sup>a</sup>
</td>
<td align="center">1.3<sup>b</sup>
</td>
<td align="center">1.5<sup>c</sup>
</td>
<td align="center">0.5<sup>b</sup>
</td>
<td align="center">0.4<sup>c</sup>
</td>
<td align="center">89.8<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">(0.4)</td>
<td align="center">(0.2)</td>
<td align="center">(14)</td>
<td align="center">(8)</td>
<td align="center">(0.4)</td>
<td align="center">(0.4)</td>
<td align="center">(0.3)</td>
<td align="center">(0.1)</td>
<td align="center">(2.0)</td>
</tr>
<tr>
<td align="left">D</td>
<td align="center">5.9<sup>a</sup>&#x2a;</td>
<td align="center">7.2<sup>a</sup>
</td>
<td align="center">187<sup>a</sup>&#x2a;</td>
<td align="center">140<sup>a</sup>
</td>
<td align="center">1.1<sup>b</sup>
</td>
<td align="center">2.1<sup>b</sup>
</td>
<td align="center">0.5<sup>b</sup>
</td>
<td align="center">0.6<sup>c</sup>
</td>
<td align="center">89.4<sup>a</sup>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="center">(0.4)</td>
<td align="center">(0.1)</td>
<td align="center">(1.0)</td>
<td align="center">(13)</td>
<td align="center">0.4</td>
<td align="center">(0.7)</td>
<td align="center">(0.1)</td>
<td align="center">(0.2)</td>
<td align="center">(2.4)</td>
</tr>
<tr>
<td rowspan="3" align="left">CP</td>
<td rowspan="2" align="left">S</td>
<td align="center">7.1<sup>a</sup>
</td>
<td align="center">7.1<sup>a</sup>
</td>
<td align="center">144<sup>a</sup>
</td>
<td align="center">102<sup>b</sup>
</td>
<td align="center">2.5<sup>b</sup>
</td>
<td align="center">3.4<sup>b</sup>
</td>
<td align="center">0.8<sup>b</sup>
</td>
<td align="center">1.3<sup>b</sup>
</td>
<td align="center">84.9<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">(0.2)</td>
<td align="center">(0.2)</td>
<td align="center">(18)</td>
<td align="center">(13)</td>
<td align="center">(0.5)</td>
<td align="center">(0.8)</td>
<td align="center">(0.2)</td>
<td align="center">(0.3)</td>
<td align="center">(3.3)</td>
</tr>
<tr>
<td align="left">D</td>
<td align="center">7.0<sup>a</sup>
</td>
<td align="center">7.3<sup>a</sup>
</td>
<td align="center">111<sup>ab</sup>
</td>
<td align="center">77a<sup>b</sup>
</td>
<td align="center">3.2<sup>b</sup>
</td>
<td align="center">2.5<sup>b</sup>
</td>
<td align="center">1.1<sup>b</sup>
</td>
<td align="center">1.2<sup>b</sup>
</td>
<td align="center">77.4<sup>b</sup>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="center">(0.0)</td>
<td align="center">(0.3)</td>
<td align="center">(17)</td>
<td align="center">(41)</td>
<td align="center">(0.5)</td>
<td align="center">(0.4)</td>
<td align="center">(0.3)</td>
<td align="center">(0.2)</td>
<td align="center">(3.1)</td>
</tr>
<tr>
<td rowspan="4" align="left">PG</td>
<td rowspan="2" align="left">S</td>
<td align="center">7.0a<sup>b</sup>
</td>
<td align="center">7.0<sup>a</sup>
</td>
<td align="center">134<sup>a</sup>
</td>
<td align="center">112<sup>b</sup>
</td>
<td align="center">1.3<sup>b</sup>
</td>
<td align="center">1.0<sup>c</sup>
</td>
<td align="center">0.5<sup>b</sup>
</td>
<td align="center">0.4<sup>c</sup>
</td>
<td align="center">87.3<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">(0.0)</td>
<td align="center">(0.0)</td>
<td align="center">(3.5)</td>
<td align="center">(3.5)</td>
<td align="center">(0.8)</td>
<td align="center">(0.3)</td>
<td align="center">(0.5)</td>
<td align="center">(0.3)</td>
<td align="center">(8.4)</td>
</tr>
<tr>
<td rowspan="2" align="left">D</td>
<td align="center">7.3<sup>a</sup>
</td>
<td align="center">7.3<sup>a</sup>
</td>
<td align="center">111<sup>ab</sup>
</td>
<td align="center">96<sup>b</sup>
</td>
<td align="center">1.4<sup>b</sup>
</td>
<td align="center">1.9<sup>b</sup>
</td>
<td align="center">0.5<sup>b</sup>
</td>
<td align="center">0.3<sup>c</sup>
</td>
<td align="center">88.1<sup>a</sup>
</td>
</tr>
<tr>
<td align="center">(0.1)</td>
<td align="center">(0.1)</td>
<td align="center">(2.1)</td>
<td align="center">(15)</td>
<td align="center">(0.0)</td>
<td align="center">(1.2)</td>
<td align="center">(0.2)</td>
<td align="center">(0.1)</td>
<td align="center">(3.6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mean values (&#xb1;) for pH, Eh (mV), total organic carbon (TOC%), total Fe (%), and sand content (%) in soils of Ilha de Mar&#xe9; (IM), Pitinga (PT), Ponta Grossa (PG), and Cacha Prego (CP) during the dry (DS) and rainy (WS) seasons in Todos os Santos Bay. Different letters indicate spatial differences for the same period and depth, while &#x2a; indicates significant seasonal diferences (<italic>p</italic> &#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The redox potential during the dry season varied between &#x2b;92&#xa0;mV and &#x2b;188&#xa0;mV (<xref ref-type="table" rid="T1">Table 1</xref>), with mean values typical of suboxic soils in all the mangroves (generally Eh: 200&#x2013;300&#xa0;mV), except for IM, where conditions in the deep soil layer were predominantly anoxic (&#x2b;97 &#xb1; 6&#xa0;mV). During the rainy season, values varied between &#x2b;30 and &#x2b;155&#xa0;mV, with most of the soils showing values within the suboxic range, the deep layer being predominantly anoxic in IM, PG, and CP (IM: 93 &#xb1; 27&#xa0;mV; PG: 96 &#xb1; 15; CP: 90 &#xb1; 31&#xa0;mV). Seasonal differences were observed in the surface and deep soil layers in IM, as well as in the deep layer in PT, with higher values during the dry season (<italic>p</italic> &#x3c; 0.05).</p>
<p>TOC ranged between 0.8% and 6.6% (<xref ref-type="table" rid="T1">Table 1</xref>), without seasonal variations, but with significant spatial differences, with the IM site showing higher values, both during the dry (S: 6.0% &#xb1; 0.58%; D: 4.8% &#xb1; 0.3%) and the rainy season (S: 5.9% &#xb1; 1.0%; D: 4.8% &#xb1; 0.4%), compared with the remaining areas (0.8%&#x2013;3.9%). Total Fe ranged from 0.1% to 2.8% and showed the highest concentrations in IM (<xref ref-type="table" rid="T1">Table 1</xref>), both during the dry (S: 2.3% &#xb1; 0.5%; D: 2.6% &#xb1; 0.1%) and the rainy season (S: 2.3% &#xb1; 0.5%; D: 2.6% &#xb1; 0.1%). Contents in CP during the rainy season (S: 1.3% &#xb1; 0.3%; D: 1.2% &#xb1; 0.2%) were also higher than those found in PT and PG for both depth levels (<italic>p</italic> &#x3c; 0.05). Seasonal differences were only observed for the deep soil layer in IM and CP, where contents were higher during the rainy season (<italic>p</italic> &#x3c; 0.05). Fe contents in the different fractions varied between 12.4 and 133&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> for fraction FeExCa, 0.30&#x2013;944&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> for fraction FeAm, 115&#x2013;3,035&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> for fraction FeCri, and 85.0&#x2013;9,233&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> for fraction FeRed (<xref ref-type="fig" rid="F2">Figure 2</xref>). The majority of non-residual Fe was present in the form of FeCri oxyhydroxides and in the reduced fraction, except for PT, where contents in the dry season were mostly present in the FeAm phase, followed by fractions FeCri and FeRed, with no significant differences in contents among the different fractions (<italic>p</italic> &#x3e; 0.05).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Geochemical Fe fractions in soils from mangroves in Ilha de Mar&#xe9; (IM), Pitinga (PT), Ponta Grossa (PG), and Cacha Prego (CP) during the dry (DS) and rainy (WS) seasons in Todos os Santos Bay. Different letters indicate spatial differences within each season, while &#x2a; indicates significant seasonal differences (<italic>p</italic> &#x3c; 0.05); ns: no differences.</p>
</caption>
<graphic xlink:href="sjss-13-11737-g002.tif"/>
</fig>
<p>Concentrations showed significant spatial differences for all fractions. FeExCa and FeAm contents during the rainy season were higher in the deep soil layer in IM and CP. Likewise, FeCri was higher in IM, except for the values observed in the surface soil layer during the rainy season in this area, which did not differ from the concentrations found in CP and PG (<italic>p</italic> &#x3e; 0.05). FeRed was higher in IM and CP, except for the values observed in the surface soil layer during the dry season, where no significant spatial variations were found. Seasonal variations were only observed in the CP mangrove, where FeExCa concentrations at depth were higher during the dry season. In PT, even though no significant differences were detected (<italic>p</italic> &#x3c; 0.05), FeRed contents during the rainy season (1,721 &#xb1; 853&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) were higher than during the dry season (160 &#xb1; 106&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>).</p>
</sec>
<sec id="s3-2">
<title>Geochemical Fractionation and Bioavailability of Cu</title>
<p>Total Cu varied between 2.5 and 89.4&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> and showed the highest values in IM (mean value: 52.5 &#xb1; 16.7&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>), followed by PT and CP (mean values: 5.9 &#xb1; 1.8&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> and 4.3 &#xb1; 1.1&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, respectively), with the lowest contents found in PG (mean value: 2.9 &#xb1; 0.4&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Total Cu concentration in soils of Ilha de Mar&#xe9; (IM), Pitinga (PT), Ponta Grossa (PG), and Cacha Prego (CP) during the dry (DS) and rainy (WS) seasons in Todos os Santos Bay.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="left"/>
<th align="center">IM</th>
<th align="center">CP</th>
<th align="center">PT</th>
<th align="center">PG</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">DS</td>
<td rowspan="2" align="left">S</td>
<td align="center">61.0 &#xb1; 5.3<sup>Aa</sup>
</td>
<td align="center">3.6 &#xb1; 0.6<sup>ABa</sup>
</td>
<td align="center">4.6 &#xb1; 4.8<sup>Ba</sup>
</td>
<td align="center">3.2 &#xb1; 0.7<sup>ABa</sup>
</td>
</tr>
<tr>
<td align="center">(55.4&#x2013;66.0)</td>
<td align="center">(3.2&#x2013;4.2)</td>
<td align="center">(&#x3c;LD-8.0)</td>
<td align="center">(2.7&#x2013;3.7)</td>
</tr>
<tr>
<td align="left">D</td>
<td align="center">36.5 &#xb1; 7.3<sup>Ab</sup>
</td>
<td align="center">4.1 &#xb1; 1.2<sup>Ba</sup>
</td>
<td align="center">5.0 &#xb1; 1.1<sup>Ba</sup>
</td>
<td align="center">2.6 &#xb1; 0.0<sup>Ba</sup>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="center">(28.1&#x2013;40.8)</td>
<td align="center">(2.9&#x2013;5.3)</td>
<td align="center">(4.2&#x2013;5.8)</td>
<td align="center">(2.6&#x2013;2.6)</td>
</tr>
<tr>
<td rowspan="4" align="left">WS</td>
<td rowspan="2" align="left">S</td>
<td align="center">66.7 &#xb1; 23.7<sup>Aa</sup>
</td>
<td align="center">5.4 &#xb1; 1.5<sup>Aa</sup>
</td>
<td align="center">4.6 &#xb1; 1.4<sup>Aa</sup>
</td>
<td align="center">3.1 &#xb1; 0.0<sup>Aa</sup>
</td>
</tr>
<tr>
<td align="center">(42.1&#x2013;89.4)</td>
<td align="center">(3.8&#x2013;6.8)</td>
<td align="center">(3.2&#x2013;5.9)</td>
<td align="center">(3.1&#x2013;3.1)</td>
</tr>
<tr>
<td rowspan="2" align="left">D</td>
<td align="center">46.0 &#xb1; 6.2<sup>Aa</sup>
</td>
<td align="center">4.4 &#xb1; 0.6<sup>BCa</sup>
</td>
<td align="center">7.1 &#xb1; 1.8<sup>Ba</sup>
</td>
<td align="center">2.6 &#xb1; 0.1<sup>Ca</sup>
</td>
</tr>
<tr>
<td align="center">(39.0&#x2013;50.2)</td>
<td align="center">(4.0&#x2013;5.0)</td>
<td align="center">(5.1&#x2013;8.7)</td>
<td align="center">(2.5&#x2013;2.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different letters indicate spatial differences for the same period and depth, while lowercase letters the differences between the depths (<italic>p</italic> &#x3c; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Contents showed seasonal variability in CP (only in the surface layer), IM, and PT (at a depth of 15&#x2013;30&#xa0;cm), with higher values during the rainy season (<italic>p</italic> &#x3c; 0.05). Contents also differed according to depth, with higher contents in surface soils in IM for both seasons (<italic>p</italic> &#x3c; 0.05) and higher contents at depth in PT and CP (<italic>p</italic> &#x3c; 0.05) for the rainy and the dry seasons, respectively.</p>
<p>Contents in non-residual fractions varied between &#x3c;limit of detection (LD &#x3d; 0.02&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) and 40.1&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, without differences between depths (<italic>p</italic> &#x3e; 0.05) and with the highest contents found in the oxidizable fraction (<xref ref-type="fig" rid="F2">Figure 2</xref>). A different pattern was observed in PT during the dry season, when no differences were observed among CuExCa, CuCri, and CuRed concentrations (<italic>p</italic> &#x3e; 0.05). CuExCa contents during the dry season were detected only in PT (&#x3c;0.02&#x2013;0.5&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) and IM (&#x3c;0.02&#x2013;1.0&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>), while during the rainy season, values above the LD were found in IM (&#x3c;0.02&#x2013;1.1&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) and in PG (&#x3c;0.05&#x2013;0.5&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>). CuCri was only detected in PT during the dry season (&#x3c;0.02&#x2013;0.9&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) and in IM for both seasons (DS: &#x3c;0.02&#x2013;0.7&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>; WS: &#x3c;0.02&#x2013;0.9&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>), with CuAm values below the limit of detection in all mangroves.</p>
<p>Copper concentrations in the oxidizable fraction showed spatial variations, with the highest values observed in IM, both during the dry (S: 24.1 &#xb1; 13.8&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>; D: 19.7 &#xb1; 10.3&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) and the rainy season (S: 30.3 &#xb1; 11.9&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>; D: 26.1 &#xb1; 8.5&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>). Seasonal variations were only observed in PT, where the CuRed contents found at depth were significantly higher during the rainy season (DS: 0.15 &#xb1; 0.21&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>; WS: 2.41 &#xb1; 0.51&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>).</p>
<p>Cu contents in muscle of <italic>Ucides cordatus</italic> (<xref ref-type="fig" rid="F3">Figure 3</xref>) oscillated between 33.4 and 104.2&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup> and did not show a common pattern regarding seasonality, with higher contents during the rainy season in PT (<italic>p</italic> &#x3c; 0.05) and during the dry season in CP (<italic>p</italic> &#x3c; 0.05), with no significant differences detected in the remaining areas. Values in hepatopancreas ranged between 20.2 and 1,133&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, with significant seasonal variability (<italic>p</italic> &#x3c; 0.05) and with the highest contents found during the dry season. Concentrations found in the gills varied between 76.8 and 1,320&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, with seasonal variations in IM and with the highest contents also found in the dry season (<italic>p</italic> &#x3c; 0.05). Spatial variability in concentrations was observed within the three types of tissue, with the highest contents found in IM and PT (<italic>p</italic> &#x3c; 0.05).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Cu concentrations in muscle, hepatopancreas, and gills of Ucides cordatus. DS: dry season, WS: rainy season. For the same stat ion (DS, WS) and the same organ, different letters indicate significant differences (<italic>p</italic> &#x003C; 0.05).</p>
</caption>
<graphic xlink:href="sjss-13-11737-g003.tif"/>
</fig>
<p>Discriminant analysis of mangroves (<xref ref-type="fig" rid="F4">Figure 4</xref>) based on physicochemical parameters of soils and on Cu contents revealed that factors 1 and 2 explained 93.9% of data variability. Axis 1 of the discriminant analysis differentiated between IM and the remaining areas based on its lower total Fe and Cu, TOC, and CuRed contents, while axis 2 discriminated among mangroves in CP, PG, and PT, with the highest pH values associated with CP and the highest Eh values observed in PT. Moreover, positive correlations were detected among contents of TOC, FeRed, and crystalline oxides, as well as between CuTotal and Cu in the exchangeable fraction (CuExCa) and between CuTotal and reduced sulfur forms and organic matter (CuRed).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Discriminant function analysis of the mangroves in Pitinga (PT), Cacha Prego (CP), Ilha de Mar&#x00E9; (IM), and Ponta Grossa (PG) based on soil parameters, considering factors F1 and F2, which explain 93.9% of data variability. ExCa: metal (Fe, Cu) exchangeable fraction; Am: metal associated to amorphous iron oxyhidroxides; Cr: metal associated to cristalline Fe oxyhydroxides; Red: metal associated to the oxidable fraction (further details see Material and Methods section).</p>
</caption>
<graphic xlink:href="sjss-13-11737-g004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The results of the discriminant analysis indicate hydrodynamic differences among mangroves, with higher sedimentation of organic matter, silt, clay and Fe oxides and hydroxides in lower energy environments such as IM (<xref ref-type="bibr" rid="B27">Lessa et al., 2000</xref>; <xref ref-type="bibr" rid="B22">Hatje and Andrade, 2009</xref>). Mangroves exhibited spatial variability, both in terms of soil parameters and of Cu contents in soils and biota. Except for PT, mean pH values were close to neutral, similarly to the results found in other study areas (<xref ref-type="bibr" rid="B41">Otero et al., 2017</xref>; <xref ref-type="bibr" rid="B5">Ara&#xfa;jo et al., 2022</xref>), and redox conditions varied between anoxic (deep soil layers in IM, PG, and CP) and suboxic, within the commonly observed range in northeastern mangroves (<xref ref-type="bibr" rid="B9">Bomfim et al., 2015</xref>; <xref ref-type="bibr" rid="B19">Ferreira et al., 2022</xref>). A different temporal pattern was observed in PT, with an effect of seasonality on pH and redox potential, showing highly acidic (pH &#x3c; 5) and neutral values during the dry and the rainy season, respectively, and with significantly higher redox conditions during the dry season. This seasonal behavior may be associated with its more sandy texture and higher relief with respect to the riverbed, factors that could promote faster drainage during drought periods and higher levels of soil aeration (<xref ref-type="bibr" rid="B15">Du Laing et al., 2009</xref>; <xref ref-type="bibr" rid="B19">Ferreira et al., 2022</xref>).</p>
<p>The seasonal pattern observed in this mangrove influenced geochemical partition of Fe and Cu, with higher contents in reduced fractions observed during the rainy season, consistently with the lower Eh values (<xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>; <xref ref-type="bibr" rid="B37">Otero et al., 2000b</xref>; <xref ref-type="bibr" rid="B62">Thanh-Nho et al., 2019</xref>). The more reduced conditions observed during this period may have promoted reduction of Fe and precipitation of sulfides, mainly pyrite (<xref ref-type="bibr" rid="B8">Berner et al., 1985</xref>; <xref ref-type="bibr" rid="B25">Huerta-D&#xed;az and Morse, 1992</xref>; <xref ref-type="bibr" rid="B36">Otero et al., 2009</xref>), as well as gradual Cu pyritization (<xref ref-type="bibr" rid="B25">Huerta-D&#xed;az and Morse, 1992</xref>; <xref ref-type="bibr" rid="B32">Morse and Luther, 1999</xref>). Cu contents in more mobile phases, such as Cu associated with CuExCa fractions or easily reducible Cu (CuCr), were only detected during the dry season, consistently with sulfide oxidation during this period, leading to soil acidification and to higher Cu solubility (<xref ref-type="bibr" rid="B37">Otero et al., 2000b</xref>; <xref ref-type="bibr" rid="B29">Machado et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Ara&#xfa;jo-J&#xfa;nior et al., 2016</xref>). IM soils showed significantly higher total Cu contents than the remaining areas, and the values were above the background value for the BTS proposed by the Bahia Environmental Resources Center (Centro de Recursos Ambientais da Bahia, CRA) (23.0 &#xb1; 5.2&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, <xref ref-type="bibr" rid="B11">CRA, 2004</xref>), as well as above the legally established preventative threshold in Brazil (60&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>, <xref ref-type="bibr" rid="B13">CONAMA, 2009</xref>), above the TEL (threshold effects level, or the minimum threshold for potential risk of toxic effects to biota: 18.7&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>), and above the ERL (effects range low: 34.0&#xa0;mg&#xa0;kg<sup>&#x2212;1</sup>) established by <xref ref-type="bibr" rid="B34">NOAA et al. (1999)</xref>. These results are related to the location of the IM mangrove, close to the Port of Aratu, in Aratu Bay, through which a wide variety of products are transported, including fertilizers and Cu concentrates associated with the mineral exploitation of copper sulfides, thus leading to abnormally high Cu concentrations in this bay and its environment (<xref ref-type="bibr" rid="B53">Rocha et al., 2016</xref>; <xref ref-type="bibr" rid="B3">Andrade et al., 2017</xref>).</p>
<p>Additionally, the location of this mangrove in the middle section of the BTS implies that hydraulic energy conditions are low (<xref ref-type="bibr" rid="B27">Lessa et al., 2000</xref>), thus promoting the deposit of fine particles and, consequently, the accumulation of metals (<xref ref-type="bibr" rid="B26">Kumar and Ramanathan, 2015</xref>; <xref ref-type="bibr" rid="B7">Bastakoti et al., 2018</xref>). The results from partitioning demonstrated that the majority of Cu is found in the oxidizable fraction, consistently with the high tendency of Cu to form stable complexes with organic matter, even forming strong complexes in reducing conditions (<xref ref-type="bibr" rid="B65">Zhou et al., 2010</xref>; <xref ref-type="bibr" rid="B12">Chakraborty et al., 2015</xref>), or/and to precipitate as sulfides in sulfate-reducing environments (<xref ref-type="bibr" rid="B25">Huerta-D&#xed;az and Morse, 1992</xref>; <xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>; <xref ref-type="bibr" rid="B37">Otero et al., 2000b</xref>; <xref ref-type="bibr" rid="B62">Thanh-Nho et al., 2019</xref>). IM soils showed a higher concentration of Fe and Cu associated with the oxidizable fraction than the other mangroves. However, seasonal changes in redox status may interfere with the stability of this fraction and its role as a metal sink, since pyrite can undergo oxidative dissolution, thus releasing a major portion of the adsorbed elements into more labile phases (<xref ref-type="bibr" rid="B40">Otero and Mac&#xed;as, 2002</xref>; <xref ref-type="bibr" rid="B4">Ara&#xfa;jo J&#xfa;nior et al., 2016</xref>). However, our results, despite showing a lower percentage of Fe and Cu associated with the reducible fraction, did not show any significant seasonal changes (<xref ref-type="fig" rid="F2">Figure 2</xref>). More specifically, factors such as local flooding patterns and activity of the biota may promote sulfide oxidization and Cu release in a readily available form (<xref ref-type="bibr" rid="B29">Machado et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Ara&#xfa;jo-J&#xfa;nior et al., 2016</xref>). Likewise, oxygen flow through the aerenchyma of mangrove plants into the rhizosphere substantially affects redox conditions, promoting soil aeration and, consequently, the system&#x2019;s evolution towards oxic environments (<xref ref-type="bibr" rid="B44">Pi et al., 2009</xref>; <xref ref-type="bibr" rid="B54">Sarker et al., 2021</xref>).</p>
<p>Consistently with Cu values in mangrove soils, high concentrations were detected in <italic>U. cordatus</italic> tissues in IM, mainly in the gills and hepatopancreas and during the dry season, which suggests higher Cu bioavailability in this area and during this season. The higher Eh values recorded for this period are consistent with higher soil aeration levels leading to sulfide oxidation and system acidification, with increased Cu bioavailability (<xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>). Moreover, the greater activity levels of <italic>U. cordatus</italic> during the dry season, related to its breeding period (<xref ref-type="bibr" rid="B17">Ferreira et al., 2007b</xref>; <xref ref-type="bibr" rid="B45">Pinheiro et al., 2016</xref>), could have promoted higher levels of burrowing activity (bioturbation) and, consequently, greater soil aeration, with an impact on biogeochemical conditions and on the distribution of metals among fractions (<xref ref-type="bibr" rid="B18">Ferreira et al., 2007a</xref>; <xref ref-type="bibr" rid="B4">Ara&#xfa;jo-J&#xfa;nior et al., 2016</xref>), which could also have contributed to higher Cu bioavailability and its consequent assimilation. High Cu concentrations were also found in crustaceans collected in PT, again in the gills and hepatopancreas and mainly during the dry season, although total contents in soils were low. Moreover, values in the more mobile fractions were highest during the dry season, related to higher Eh values, which suggests a higher bioavailability during this period (<xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>; <xref ref-type="bibr" rid="B4">Ara&#xfa;jo-J&#xfa;nior et al., 2016</xref>). The results observed in this mangrove suggest that the risks associated with bioavailability are mainly likned to biogeochemical processes in soils controlling metal partition instead of being only related to total contents in soils, with contents in the more labile fractions acting as better environmental indicators than total metal contents with respect to the risk of bioaccumulation.</p>
<p>The high values observed both in gills and in hepatopancreas are consistent with other studies (<xref ref-type="bibr" rid="B64">Vedolin et al., 2020</xref>; <xref ref-type="bibr" rid="B49">Ramos and Leite, 2022</xref>), that have also demonstrated a tendency towards a high accumulation of Cu in these tissues in environments with high exposure to metals. <xref ref-type="bibr" rid="B20">Firat et al. (2008)</xref>, in Iskenderun Bay, an area with an intense agricultural and industrial activity, found high Cu concentrations in gills (827 &#xb1; 92.6&#xa0;&#xb5;g&#xa0;g<sup>&#x2212;1</sup>) and in hepatopancreas (935 &#xb1; 50.5&#xa0;&#x3bc;g&#xa0;g<sup>&#x2212;1</sup>) in the crab <italic>Charybdis longicolis</italic>, with a distribution pattern and concentrations similar to those observed in IM and PT. Cu is present in the pigment hemocyanin and is required in small concentrations for the physiological processes associated with breathing (<xref ref-type="bibr" rid="B60">Taylor and Anstiss, 1999</xref>), and for this reason, it is found in greater amounts in branchial tissue. Excess Cu, due to its toxic potential, is usually detoxified by these organisms in the hepatopancreas in order to avoid its presence in high concentrations in a metabolically active condition in the body (<xref ref-type="bibr" rid="B48">Rainbow, 2002</xref>).</p>
<p>In summary, the presence of total Cu at concentrations above background levels and the high concentrations found in <italic>Ucides cordatus</italic> tissues in IM suggest a clear enrichment of this metal, which increases its bioavailability. However, the abnormally high Cu concentrations in crab tissues in PT indicate that total content is not a suitable proxy to assess Cu bioavailability in these intertidal systems (<xref ref-type="bibr" rid="B42">Otero et al., 2000a</xref>) and that bioturbation and seasonal changes substantially affect geochemical conditions in soils (<xref ref-type="bibr" rid="B4">Ara&#xfa;jo-J&#xfa;nior et al., 2016</xref>; <xref ref-type="bibr" rid="B16">Ferreira et al., 2021</xref>), thus promoting environmental acidification and increased concentrations of Cu associated with the most labile and bioavailable fractions during the dry season.</p>
<p>Although a large proportion of Cu is associated with the oxidizable fraction, seasonal factors associated with biota and physicochemical parameters of soils could compromise the stability of geochemical fractions, making this metal available to resident fauna. On the other hand, contents detected in crabs from IM and PT suggest potential ecotoxicological risks in these mangroves; this warrants the need to assess the consumption of <italic>Ucides cordatus</italic> and its associated impacts on human and environmental health in these areas.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>Conceptualization: MR, GN, and XO. Methodology: MR, GN, and XO. Formal analysis: all authors. Writing&#x2014;original draft preparation: all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This research was co-funded by the Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico (CNPq) do Minist&#xe9;rio da Ci&#xea;ncia, Tecnologias e Inova&#xe7;&#xf5;es do Brasil, Project titled &#x201c;Desenvolvimento do &#xcd;ndice de Qualidade das Florestas de manguezais na Ba&#xed;a de Todos Santos (BTS) Bahia&#x201d;, (no. 441389/2017-1), and the Conseller&#xed;a de Educaci&#xf3;n, Universidade e Formaci&#xf3;n Profesional Xunta de Galicia (Axudas &#x00E1; consolidaci&#x00F3;n e estruturaci&#x00F3;n de unidades de investigaci&#x00F3;n competitivas do SUG do Plan Galego IDT, Ambiosol Group ref. ED431C; [2022/40]).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<ack>
<p>Thanks are due to Mar&#xed;a Jos&#xe9; Santiso for her assistance with laboratory work.</p>
</ack>
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