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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SCIMAR</journal-id>
			<journal-title-group>
				<journal-title>Scientia Marina</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Sci. Mar.</abbrev-journal-title>
			</journal-title-group>
			<issn publication-format="print">0214-8358</issn>
			<issn publication-format="electronic">1886-8134</issn>
			<issn-l>0214-8358</issn-l>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Cient&#xed;ficas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">scimar.05129.021</article-id>
			<article-id pub-id-type="doi">10.3989/scimar.05129.021</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Articles</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Occurrence and abundance of young mullet <italic>Mugil liza</italic> (Teleostei: Mugilidae) in the surf zone along the southern coast of Brazil</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Presencia y abundancia de lisas <italic>Mugil liza</italic> (Teleostei: Mugilidae) j&#xf3;venes en la zona de oleaje en la costa sur de Brasil</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1813-4982</contrib-id>
					<name>
						<surname>Marques Lemos</surname>
						<given-names>Val&#xe9;ria</given-names>
					</name>
					<email xlink:href="vavadeleom@yahoo.com.br">vavadeleom@yahoo.com.br</email>
					<aff id="aff1"><institution content-type="institute">Instituto de Oceanografia</institution>, <institution>Universidade Federal do Rio Grande</institution>, <addr-line>Av. It&#xe1;lia, km 8, Rio Grande CEP 96203-900, RS</addr-line>, <country>Brazil</country>.</aff>
					<aff id="aff2"><institution>Brazilian Long-Term Ecological Research Programme (PELD)</institution>, <addr-line>Rio Grande</addr-line>, <country>Brazil</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7646-6208</contrib-id>
					<name>
						<surname>Cabral</surname>
						<given-names>Henrique</given-names>
					</name>
					<email xlink:href="henrique.cabral@inrae.fr">henrique.cabral@inrae.fr</email>
					<aff id="aff3"><institution>INRAE</institution>, <institution content-type="research-centre">Centre Nouvelle-Aquitaine - Bordeaux</institution>, <addr-line>UR EABX, 50, avenue de Verdun, Cestas</addr-line>, <country>France</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2416-5841</contrib-id>
					<name>
						<surname>Pasquaud</surname>
						<given-names>Stephanie</given-names>
					</name>
					<email xlink:href="spasquaud@fc.ul.pt">spasquaud@fc.ul.pt</email>
					<aff id="aff4"><institution content-type="research-centre">MARE, Marine and Environmental Sciences Centre</institution>, <institution content-type="faculty">Faculdade de Ci&#xea;ncias</institution> da <institution>Universidade de Lisboa</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0669-9444</contrib-id>
					<name>
						<surname>Paes Vieira</surname>
						<given-names>Jo&#xe3;o</given-names>
					</name>
					<email xlink:href="vieira@mikrus.com.br">vieira@mikrus.com.br</email>
					<aff id="aff5"><institution>Brazilian Long-Term Ecological Research Programme (PELD)</institution>, <addr-line>Rio Grande</addr-line>, <country>Brazil</country>.</aff>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Garcia-Rubies</surname>
						<given-names>A.</given-names>
					</name>
				</contrib>
			</contrib-group>
			<pub-date pub-type="epub">
				<day>09</day>
				<month>11</month>
				<year>2021</year>
			</pub-date>
			<pub-date pub-type="collection">
				<month>12</month>
				<year>2021</year>
			</pub-date>
			<volume>85</volume>
			<issue>4</issue>
			<fpage>245</fpage>
			<lpage>255</lpage>
			<history>
				<date date-type="received">
					<day>13</day>
					<month>09</month>
					<year>2020</year>
				</date>
				<date date-type="accepted">
					<day>02</day>
					<month>09</month>
					<year>2021</year>
				</date>
				<date date-type="pub">
					<day>23</day>
					<month>11</month>
					<year>2021</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>&#xa9; 2021 CSIC</copyright-statement>
				<copyright-year>2021</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<self-uri xlink:href="http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/XXXX/XXXX"/>
			<abstract>
				<title>Summary</title>
				<p>The southern population of <italic>Mugil liza</italic> is distributed from Argentina (47&#xb0;S) to the state of S&#xe3;o Paulo, Brazil (23&#xb0;S). Young mullets use the estuaries as nursery grounds, and prior to recruitment into estuaries they use the surf zone as a temporary habitat. Based on 12 consecutive months of sampling, this study used generalized linear models (GLM) to analyse the relationships between environmental variables and the presence and relative abundance of young mullets in the surf zone adjacent to six major estuaries in southern Brazil (between 29&#xb0;S and 33&#xb0;S). Young mullets were present in all seasons over the sampling period, but the probability of occurrence was higher in winter and was associated with low temperatures. The water temperature alone explained more than half of the total deviance of the GLM models for presence (23%) and abundance (21%) of young mullets in the surf zone. Site 2 (Rio Grande) had lower temperatures in the colder months, the highest probability of occurrence of all collection sites and the greatest abundance (n=3402) of young <italic>M. liza</italic>, which represented 52% of the total of individuals (n=6493) caught among the six sites sampled.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>La poblaci&#xf3;n Sur de <italic>Mugil liza</italic> se distribuye desde Argentina (47&#xb0;S) hasta el estado de S&#xe3;o Paulo, Brasil (23&#xb0;S). Las lisas j&#xf3;venes utilizan la zona de oleaje como h&#xe1;bitat temporal antes del reclutamiento en los estuarios. Basado en 12 meses de muestreo, este estudio utiliz&#xf3; modelos lineales generalizados (GLM) para analizar las relaciones entre las variables ambientales, la presencia y abundancia de lisas en la zona de oleaje adyacente a seis estuarios en el sur de Brasil (entre 29&#xb0;S y 33&#xb0;S). La temperatura del agua por s&#xed; sola explic&#xf3; m&#xe1;s de la mitad de la desviaci&#xf3;n total de los modelos GLM para la presencia (23%) y abundancia (21%) de lisas en la zona de oleaje. Las lisas j&#xf3;venes estuvieron presentes en todas las estaciones, pero la probabilidad de ocurrencia fue mayor en invierno y se asoci&#xf3; con bajas temperaturas. R&#xed;o Grande tuvo la mayor probabilidad de ocurrencia y la mayor abundancia (n=3402) de <italic>M. liza</italic> j&#xf3;venes, representando el 52% del total de individuos (n=6493) capturados entre las seis localidades muestreadas.</p>
			</trans-abstract>
			<kwd-group>
				<kwd>mullet</kwd>
				<kwd>nursery areas</kwd>
				<kwd>southern Brazil</kwd>
				<kwd>surf zone</kwd>
				<kwd>estuary</kwd>
				<kwd>recruitment</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<kwd>lisas</kwd>
				<kwd>zonas de cr&#xed;a</kwd>
				<kwd>Sur del Brasil</kwd>
				<kwd>zona de oleaje</kwd>
				<kwd>estuarios</kwd>
				<kwd>reclutamiento</kwd>
			</kwd-group>
			<funding-group id="fw-01">
				<award-group id="aw1">
					<funding-source>CNPq</funding-source>
					<award-id>406563/2012-8</award-id>
				</award-group>
				<award-group id="aw2">
					<funding-source>PELD</funding-source>
					<award-id>CNPq/PELD 34/2012</award-id>
					<award-id>CNPq/Capes/FAPs/BC-Fundo Newton 15/2016</award-id>
				</award-group>
				<award-group id="aw3">
					<funding-source>CAPES</funding-source>
					<award-id>A101/2013</award-id>
				</award-group>
				<award-group id="aw4">
					<funding-source>CAPES</funding-source>
					<award-id>88887.461550/2019-00</award-id>
				</award-group>
				<award-group id="aw5">
					<funding-source>CNPq</funding-source>
					<award-id>482236/2011-6</award-id>
				</award-group>
				<funding-statement>The authors thank the National Council for Scientific and Technological Development (CNPq), the Coordination for the Improvement of Higher Education Personnel (CAPES), the Brazilian Long-Term Ecological Research Programme (PELD-ELPA) and the Institute of Oceanography (IO-FURG). This work benefited from financial support provided by the CNPq (Proces. No. 406563/2012-8), the PELD (CNPq/PELD 34/2012 and CNPq/Capes/FAPs/BC-Fundo Newton 15/2016) and the CAPES (process A101/2013). VML currently has a postdoctoral fellowship from the CAPES (Proces. No. 88887.461550/2019-00) and JPV has received a grant from the CNPq (process 482236/2011-6).</funding-statement>
			</funding-group>
			<counts>
				<fig-count count="5"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="36"/>
				<page-count count="11"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>Estuaries and coastal lagoons are considered highly productive areas and are important refuge and nursery zones for several fish species with high economic and/or environmental value (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). Migratory marine species spawn in offshore waters, regularly enter estuaries in substantial numbers, particularly as juveniles, and use the nearshore marine waters as an alternative habitat (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). In southern Brazil, juveniles of many commercially and recreationally important fish species (<italic>Micropogonias furnieri</italic> [Desmarest, 1823], <italic>Brevoortia pectinate</italic> [Jenyns, 1842], <italic>Pogonias courbina</italic> [Linnaeus, 1766] and <italic>Mugil liza</italic> Valenciennes, 1836) use the estuarine areas as nurseries (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>, <xref ref-type="bibr" rid="B22">Mai et al. 2019</xref>).</p>
			<p>The Lebranche mullet, <italic>Mugil liza</italic> (Teleostei, Mugilidae), occurs from the Gulf of Mexico to the coast of Argentina. Using the mitochondrial control region, <xref ref-type="bibr" rid="B14">Heras et al. (2016)</xref> described two highly divergent <italic>M. liza</italic> populations: a northern population, which is distributed from Cuba to the state of Rio de Janeiro, Brazil, and a southern population, which is distributed from Rio Grande do Sul, Brazil, to Argentina. <xref ref-type="bibr" rid="B21">Mai et al. (2014)</xref> and <xref ref-type="bibr" rid="B18">Lemos et al. (2017)</xref> showed that the southern population encompasses the Rio Grande do Sul state and actually ranges from the state of S&#xe3;o Paulo in southeastern Brazil (23&#xb0;S) to Argentina.</p>
			<p>
				<italic>Mugil liza</italic> is commercially exploited in Argentina by a small-scale fishery that operates mainly in Samboromb&#xf3;n Bay. Commercial catches were between 5.4 and 78.8 t from 2000 to 2010, with a maximum capture of 194.0 t in 2004 (<xref ref-type="bibr" rid="B6">Castellini et al. 2017</xref>). In the southern states of Brazil (Rio Grande do Sul, Santa Catarina and Paran&#xe1;) and S&#xe3;o Paulo, the <italic>M. liza</italic> southern population fishery is a very important resource (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>, <xref ref-type="bibr" rid="B17">2016</xref>, <xref ref-type="bibr" rid="B8">de Abreu-Mota et al. 2018</xref>), with a maximum reported capture of 13600 t in 2007 (<xref ref-type="bibr" rid="B8">de Abreu-Mota et al. 2018</xref>). The Patos Lagoon estuary, located in the state of Rio Grande do Sul, is considered the main <italic>M. liza</italic> nursery area in Brazil (<xref ref-type="bibr" rid="B15">Herbst and Hanazaki 2014</xref>, <xref ref-type="bibr" rid="B8">de Abreu-Mota et al. 2018</xref>).</p>
			<p>The southern population of <italic>M. liza</italic> performs an annual reproductive migration from Argentina, Uruguay and estuaries of southern Brazil, especially the Patos Lagoon estuary, to offshore spawning areas located on the Brazilian coast between northern Santa Catarina and Paran&#xe1; (28&#xb0;-26&#xb0;S) (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>, <xref ref-type="bibr" rid="B17">2016</xref>). <italic>Mugil liza</italic> is a single spawner and spawning occurs between May and July at temperatures of 19&#xb0;C to 21&#xb0;C in offshore waters (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>). According to the life cycle model proposed by <xref ref-type="bibr" rid="B34">Vieira (1991)</xref>, <italic>M. liza</italic> larvae and early juveniles are neustonic and are carried, mainly by wind-driven currents, from offshore waters to the coast, where they concentrate in surf zones prior to recruitment to estuarine environments. This use of the coastal zone and migratory behaviour characterize <italic>M. liza</italic> as a marine estuarine-dependent species (<xref ref-type="bibr" rid="B22">Mai et al. 2019</xref>).</p>
			<p>
				<xref ref-type="bibr" rid="B23">Martin and Drewry (1978)</xref> recognized a pre-juvenile stage for mullets starting at 11 mm total length (TL), and the transformation from the larval to the pre-juvenile stage ends at approximately 13 mm TL and involves a change from predaceous to iliophagous (detritivorous) feeding habits (<xref ref-type="bibr" rid="B23">Martin and Drewry 1978</xref>, <xref ref-type="bibr" rid="B34">Vieira 1991</xref>). Young mullets, which first appear in small schools along the coasts and in the estuaries, measure 18 to 28 mm in length (<xref ref-type="bibr" rid="B34">Vieira 1991</xref>, <xref ref-type="bibr" rid="B11">Gonz&#xe1;lez-Castro and Minos 2016</xref>). In the coastal area of the state of Rio Grande do Sul, young mullets are frequently present and abundant in the surf zone throughout the year (<xref ref-type="bibr" rid="B28">Ramos and Vieira 2001</xref>, <xref ref-type="bibr" rid="B29">Rodrigues et al. 2015</xref>), which is also the case on the coast of Argentina (<xref ref-type="bibr" rid="B1">Acha 1990</xref>, <xref ref-type="bibr" rid="B6">Castellini et al. 2017</xref>). However, in the northern area of the southern population (state of S&#xe3;o Paulo) (<xref ref-type="bibr" rid="B21">Mai et al. 2014</xref>), the presence of young mullets in the surf zone occurs shortly after the reproductive period, and individuals are less abundant or absent in the surf zone during the remaining months of the year (<xref ref-type="bibr" rid="B9">Favero and Dias 2015</xref>). It seems that there is a clinal decrease in surf zone occurrence from the northern to the southern limits of the southern population.</p>
			<p>Surf zones of sandy beaches are important recruitment and nursery zones and migratory paths to other nearshore habitats (<xref ref-type="bibr" rid="B32">Strydom 2003</xref>, <xref ref-type="bibr" rid="B24">McLachlan and Brown 2006</xref>). Larvae and juvenile of estuary-dependent marine fishes move from offshore spawning grounds (initially passively but later by active migration) to surf zones (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). Despite the available information on recruitment of young fishes into estuaries worldwide, there is a paucity of information describing the factors driving the recruitment process (<xref ref-type="bibr" rid="B32">Strydom 2003</xref>). The aim of the present study was to compare the abundance of young <italic>M. liza</italic> (&#x2264;30 mm TL) in the adjacent surf zones of six estuaries between 28.5&#xb0;S and 33.7&#xb0;S in southern Brazil and to determine which environmental variables are related to their occurrence and abundance.</p>
		</sec>
		<sec id="sec2" sec-type="materials|methods">
			<title>Materials and methods</title>
			<sec id="sec2.1">
				<title>Study area</title>
				<p>The study area encompassed the coastal surf zone of southern Brazil from Laguna, Santa Catarina state (29&#xb0;S, 48&#xb0;W), to Chu&#xed;, Rio Grande do Sul state (34&#xb0;S, 53&#xb0;W) (<xref ref-type="fig" rid="f1">Fig. 1</xref>). These coastal areas are characterized by sandy beaches exposed to wave action with a wide dissipative to intermediate surf zone (<xref ref-type="bibr" rid="B5">Calliari and Klein 1995</xref>). Tidal oscillations along the southern Brazilian coast are defined by their low amplitude, with an average tidal amplitude of 0.47 m and minimal influence on estuarine circulation (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>).</p>
				<fig id="f1">
					<label>Fig. 1</label>
					<caption>
						<title>Map of the six sampling sites</title>
						<p>Site 1, Chu&#xed;; Site 2, Rio Grande; Site 3, Mostardas; Site 4, Tramanda&#xed;; Site 5, Passo de Torres; and Site 6, Laguna. Numbers (1 to 12) represent sampling points where beach seine samples were obtained.</p>
					</caption>
					<graphic id="gra-1" xlink:href="SCIMAR-85-04-e021-gf1.png"/>
				</fig>
				<p>The regional climate is temperate with well-defined seasons and is under the control of the South Atlantic anticyclone high-pressure centre. The latitudinal movement of the anticyclone centre and the passage of polar frontal systems influence and modify the seasonal cycle of the climate (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>). These systems are responsible for dominant winds from the northeast quadrant (NE, mean speed 5 m s<sup>-1</sup>) throughout the year and winds from the southwest quadrant (SW, mean speed 8 m s<sup>-1</sup>) during the passage of polar frontal systems, which are common during the winter. The mean annual rainfall (1200-1500 mm) is related to the pattern and frequency of these systems and to the effects of the El Ni&#xf1;o-Southern Oscillation cycle (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>).</p>
				<p>The complex hydrographic system of the coastal plain in southern Brazil includes several lagoons and estuaries. Our study area encompassed six estuarine systems: 1) Chu&#xed; Creek (33.73&#xb0;S), 2) the Patos Lagoon estuary (32.20&#xb0;S), 3) the Peixe Lagoon (31.15&#xb0;S), 4) the Tramanda&#xed;-Armaz&#xe9;m Lagoon complex (29.98&#xb0;S), 5) the Mampituba River (29.32&#xb0;S), and 6) the Imaru&#xed;-Mirim-Santo Ant&#xf4;nio Lagoon complex (28.49&#xb0;S) (<xref ref-type="fig" rid="f1">Fig. 1</xref>, <xref ref-type="table" rid="t1">Table 1</xref>).</p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Summary of environmental variables used in the <italic>Mugil liza</italic> occurrence and abundance models.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Site</th>
								<th align="center">Lat.-Long.</th>
								<th align="center">Estuarine area (km<sup>2</sup> )</th>
								<th align="center">Sampling point number</th>
								<th align="center">Tide </th>
								<th align="center">Distance from estuary mouth (km)</th>
								<th align="center" colspan="2">Salinity </th>
								<th align="center" colspan="2">Temperature (&#xb0;C) </th>
								<th align="center" colspan="2">Transparency (cm)</th>
							</tr>
							<tr>
								<th align="left"> </th>
								<th align="left"> </th>
								<th align="left"> </th>
								<th align="left"> </th>
								<th align="left"> </th>
								<th align="left"> </th>
								<th align="center">min - max</th>
								<th align="center">mean &#xb1; sd</th>
								<th align="center">min - max</th>
								<th align="center">mean &#xb1; sd</th>
								<th align="center">min -max</th>
								<th align="center">mean &#xb1; sd</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center" rowspan="2">1. Chu&#xed;</td>
								<td align="center" rowspan="2">33.73&#xb0;S, 53.36&#xb0;W</td>
								<td align="center" rowspan="2">0.3<sup>a</sup>
								</td>
								<td align="center">1</td>
								<td align="center" rowspan="2">0.6<sup>e</sup>
								</td>
								<td align="center">0.3</td>
								<td align="center">24.0-30.3</td>
								<td align="center">28.1&#xb1;1.7</td>
								<td align="center">13.2-28.0</td>
								<td align="center">19.8&#xb1;4.6</td>
								<td align="center">10-50</td>
								<td align="center">33.6&#xb1;13</td>
							</tr>
							<tr>
								<td align="center">2</td>
								<td align="center">1.4</td>
								<td align="center">26.4-30.1</td>
								<td align="center">28.5&#xb1;1.2</td>
								<td align="center">14.9-26.0</td>
								<td align="center">20.0&#xb1;4.0</td>
								<td align="center">10-100</td>
								<td align="center">39.0&#xb1;23</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">2. Rio Grande</td>
								<td align="center" rowspan="2">32.20&#xb0;S, 52.17&#xb0;W</td>
								<td align="center" rowspan="2">971.0<sup>a</sup>
								</td>
								<td align="center">3</td>
								<td align="center" rowspan="2">0.47<sup>f</sup>
								</td>
								<td align="center">8.8</td>
								<td align="center">15.8-32.6</td>
								<td align="center">28.5&#xb1;4.5</td>
								<td align="center">12.0-28.0</td>
								<td align="center">20.3&#xb1;4.4</td>
								<td align="center">10-60</td>
								<td align="center">30.0&#xb1;16</td>
							</tr>
							<tr>
								<td align="center">4</td>
								<td align="center">0.7</td>
								<td align="center">17.3-33.0</td>
								<td align="center">28.1&#xb1;4.6</td>
								<td align="center">11.4-28.5</td>
								<td align="center">20.1&#xb1;4.5</td>
								<td align="center">10-100</td>
								<td align="center">40.3&#xb1;23</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">3. Mostardas</td>
								<td align="center" rowspan="2">31.15&#xb0;S, 50.80&#xb0;W</td>
								<td align="center" rowspan="2">45.0<sup>b</sup>
								</td>
								<td align="center">5</td>
								<td align="center" rowspan="2">0.45<sup>g</sup>
								</td>
								<td align="center">13</td>
								<td align="center">29.0-36.4</td>
								<td align="center">32.0&#xb1;2.6</td>
								<td align="center">14.9-26.0</td>
								<td align="center">20.2&#xb1;3.1</td>
								<td align="center">15-60</td>
								<td align="center">31.0&#xb1;17</td>
							</tr>
							<tr>
								<td align="center">6</td>
								<td align="center">13.9</td>
								<td align="center">29.1-37.5</td>
								<td align="center">32.4&#xb1;2.8</td>
								<td align="center">15.2-25.7</td>
								<td align="center">20.3&#xb1;3.4</td>
								<td align="center">10-70</td>
								<td align="center">34.0&#xb1;18</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">4. Tramanda&#xed;</td>
								<td align="center" rowspan="2">29.98&#xb0;S, 50.12&#xb0;W</td>
								<td align="center" rowspan="2">30.0<sup>a</sup>
								</td>
								<td align="center">7</td>
								<td align="center" rowspan="2">0.3<sup>h</sup>
								</td>
								<td align="center">3.6</td>
								<td align="center">25.2-36.7</td>
								<td align="center">30.9&#xb1;3.0</td>
								<td align="center">15.4-24.8</td>
								<td align="center">20.6&#xb1;2.7</td>
								<td align="center">0-100</td>
								<td align="center">44.6&#xb1;30</td>
							</tr>
							<tr>
								<td align="center">8</td>
								<td align="center">0.4</td>
								<td align="center">22.6-36.9</td>
								<td align="center">30.8&#xb1;3.8</td>
								<td align="center">15.4-25.0</td>
								<td align="center">21.0&#xb1;2.6</td>
								<td align="center">15-70</td>
								<td align="center">45.8&#xb1;14</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">5. P. Torres</td>
								<td align="center" rowspan="2">29.32&#xb0;S, 49.71&#xb0;W</td>
								<td align="center" rowspan="2">0.5<sup>c</sup>
								</td>
								<td align="center">9</td>
								<td align="center" rowspan="2">0.5<sup>i</sup>
								</td>
								<td align="center">0.2</td>
								<td align="center">6.4-37.8</td>
								<td align="center">23.4&#xb1;9.3</td>
								<td align="center">16.6-26.0</td>
								<td align="center">20.7&#xb1;2.9</td>
								<td align="center">20-60</td>
								<td align="center">40.3&#xb1;13</td>
							</tr>
							<tr>
								<td align="center">10</td>
								<td align="center">0.8</td>
								<td align="center">15.5-38.2</td>
								<td align="center">29.8&#xb1;5.0</td>
								<td align="center">15.0-23.5</td>
								<td align="center">20.1&#xb1;3.0</td>
								<td align="center">0-45</td>
								<td align="center">29.1&#xb1;14</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">6. Laguna</td>
								<td align="center" rowspan="2">28.49&#xb0;S, 48.76&#xb0;W</td>
								<td align="center" rowspan="2">184.0<sup>d</sup>
								</td>
								<td align="center">11</td>
								<td align="center" rowspan="2">0.6<sup>j</sup>
								</td>
								<td align="center">0.3</td>
								<td align="center">28.0-36.8</td>
								<td align="center">32.5&#xb1;2.3</td>
								<td align="center">16.1-23.0</td>
								<td align="center">19.1&#xb1;2.3</td>
								<td align="center">35-100</td>
								<td align="center">71.9&#xb1;24</td>
							</tr>
							<tr>
								<td align="center">12</td>
								<td align="center">2.2</td>
								<td align="center">25.2-37.4</td>
								<td align="center">31.9&#xb1;3.2</td>
								<td align="center">16.3-23.0</td>
								<td align="center">19.1&#xb1;2.3</td>
								<td align="center">30-100</td>
								<td align="center">64.6&#xb1;25</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>Estuarine area and mouth width obtained from the literature were a (<xref ref-type="bibr" rid="B28">Ramos and Vieira 2001</xref>), b (<xref ref-type="bibr" rid="B20">Loebmann and Vieira 2005</xref>) and d (Fonseca and Netto 2006); the rest were calculated with the ArcMap tool (c). Tides were obtained from the literature: e (<xref ref-type="bibr" rid="B13">Hartmann and Pereira 2001</xref>), f (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>), g (<xref ref-type="bibr" rid="B30">Schwarzbold and Sch&#xe4;fer 1984</xref>), h (<xref ref-type="bibr" rid="B19">Lira et al. 1976</xref>), i (<xref ref-type="bibr" rid="B7">D&#x2019;Aquino et al. 2011</xref>) and j (<xref ref-type="bibr" rid="B26">Pimenta 1958</xref>).</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<list list-type="order">
					<list-item>
						<p>Chu&#xed; Creek, Rio Grande do Sul (RS), Brazil, is located on the border between Brazil and Uruguay. The Chu&#xed; Creek drainage basin has an area of approximately 340 km<sup>2</sup> and an estuarine area of 0.5 km<sup>2</sup> (<xref ref-type="bibr" rid="B28">Ramos and Vieira 2001</xref>). Chu&#xed; Creek arises in an area of wetlands and runs almost parallel to the coast in a southerly direction for approximately 66 km until it reaches the Atlantic Ocean. Chu&#xed; Creek has suffered from anthropic modifications over time, including the change in its original course, the use of its fresh water and the construction of a pair of jetties (1500 m long) in the late 1970s to demarcate the border between Brazil and Uruguay. At low flow, the stream has a maximum width of 100 m and a depth ranging between 1.5 and 3 m. The amplitude of the astronomical tide is low (0.5 m) and the wind regime determines the saltwater flow into the system (<xref ref-type="bibr" rid="B13">Hartmann and Pereira 2001</xref>).</p>
					</list-item>
					<list-item>
						<p>The Patos Lagoon estuary is located in Rio Grande, RS. The Patos Lagoon, with a total area of ~10000 km<sup>2</sup> (draining a large hydrological basin of 200000 km<sup>2</sup>), is one of the largest choked coastal lagoons in the world. It extends for 270 km along the coastline of southern Brazil. It was formed by multiple sand barrier complexes and can be divided into biological units. The estuarine region, with a total area of 900 km<sup>2</sup> (approximately 10% of the lagoon) is characterized by large shallow areas (&lt;2 m deep). The estuary is connected to the South Atlantic via a 20 km channel (0.5-3000 m in width), and the mouth is stabilized by a pair of jetties. Owing to its morphological characteristics and the proximity of an amphidromic point, the tides in the region have low amplitude (mean 0.4 m). The wind patterns and precipitation in the watershed determine the salinity regime in the estuary (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>).</p>
					</list-item>
					<list-item>
						<p>The Peixe Lagoon is located in Mostardas, RS. It is situated in the narrow sandy strip between the Patos Lagoon and the Atlantic Ocean and was recognized as a National Park in 1986. It has an area of 34000 ha, including not only the Peixe Lagoon but also surrounding ecosystems such as beaches and small freshwater lakes. The Peixe Lagoon covers approximately 43 km<sup>2</sup> with a depth ranging from 0.3 to 2 m, and the lagoon has an intermittent opening to the ocean (<xref ref-type="bibr" rid="B30">Schwarzbold and Sch&#xe4;fer 1984</xref>).</p>
					</list-item>
					<list-item>
						<p>The Tramanda&#xed;-Armaz&#xe9;m Lagoon complex is located in Tramanda&#xed;, RS. The Tramanda&#xed; River Basin has an area of 3145 km&#xb2; and the Tramanda&#xed; River is the primary effluent. From the estuary area (29&#xb0;55&#x2019;S to 30&#xb0;00&#x2019;S and 50&#xb0;06&#x2019;W to 50&#xb0;11&#x2019;W), the connection with the Atlantic Ocean is via a narrow, short channel (55 m) that is stabilized by a single jetty along the left margin. The amplitude of the astronomical tide in this region is low (0.3 m) (<xref ref-type="bibr" rid="B19">Lira et al. 1976</xref>).</p>
					</list-item>
					<list-item>
						<p>The Mampituba River is located in Torres, RS, and Passo de Torres, Santa Catarina. The hydrographic basin of the Mampituba River (29&#xb0;11&#x2019; to 29&#xb0;26&#x2019;S and 49&#xb0;42&#x2019; to 50&#xb0;12&#x2019;W) has an area of 1224 km<sup>2</sup> that empties into the Atlantic Ocean. The Mampituba River is small (62 km long) and has an average flow of 19 m<sup>3</sup> s<sup>-1</sup>. The average depth is 4 m and the mouth is stabilized by a pair of jetties (north jetty, 100 m and south jetty, 260 m). The tidal pattern is microtidal and is primarily governed by the wind regime (<xref ref-type="bibr" rid="B7">D&#x2019;Aquino et al. 2011</xref>).</p>
					</list-item>
					<list-item>
						<p>The Imaru&#xed;-Mirim-Santo Ant&#xf4;nio Lagoon complex is located in Laguna, Santa Catarina. The lagoon system has an area of approximately 220 km<sup>2</sup> and has the Tubar&#xe3;o River as its main tributary. The communication between the lagoon system and the ocean occurs through a fixed bar in the Santo Ant&#xf4;nio Lagoon that is approximately 200 m wide and 1200 m long. The tide is of low amplitude, and hydrodynamics are primarily governed by the wind (<xref ref-type="bibr" rid="B26">Pimenta 1958</xref>).</p>
					</list-item>
				</list>
			</sec>
			<sec id="sec2.2">
				<title>Fish sampling and environmental variables</title>
				<p>The fish were collected monthly between June 2011 and May 2012 in the surf zones adjacent to the mouths of the six estuaries (<xref ref-type="fig" rid="f1">Fig. 1</xref>). Two marine surf zone sampling points, starting at 500 m from the jetties and spaced 1 to 6 km apart from each other, were selected at each site (<xref ref-type="fig" rid="f1">Fig. 1</xref>). At each of the 12 sampling points we collected five samples monthly. Each beach seine sample was conducted perpendicular to the beach at a depth of 1.5 m. The beach seine net was 9 m long and 1.5 m high with a 13 mm knot-to-knot mesh in the wings and a 5 mm knot-to-knot mesh in the 3 m central section. Each haul covered an area of approximately 120 m<sup>2</sup>. The fish caught were held on ice and subsequently processed in the laboratory. Mullet abundance was calculated as the catch per unit effort (CPUE), i.e. the total number of individuals per haul.</p>
				<p>Water temperature (&#xb0;C) and salinity were recorded monthly at each sampling point using a digital multiparameter probe. The salinity was measured using the Practical Salinity Scale (PSU). The water transparency was measured using a Secchi disc (cm). Additionally, the estuarine area (the area, km<sup>2</sup>) and mouth width (width, km) of each of the six estuaries, the distance of each sampling point from the mouth of the adjoining estuary (distance, km), and the distance from each sampling point to the <italic>M. liza</italic> theoretical spawning area as defined by <xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref> (distance to the spawning area, km) were also included in the analyses. Tides, estuarine area and width were obtained from the literature (<xref ref-type="table" rid="t1">Table 1</xref>); the other distances were determined using the ArcMap 10.0 tool.</p>
				<p>This study was conducted in accordance with the recommendations of the Brazilian Ministry of the Environment (MMA), and all data collection and fish handling were endorsed by the Permanent Licence for Collection of Zoological Material (Number: 10125-2) granted to JPV since September 2007. There was no experimentation in the present work.</p>
			</sec>
			<sec id="sec2.3">
				<title>Data analysis</title>
				<p>A one-way ANOVA was performed to test temporal differences in environmental variables among sites and differences in mullet abundance between sampling points at each site. This analysis was also used to test the significances of differences in abundance of mullets &#x2264;30 mm TL and mullets &gt;30 mm TL between sites. Temporal differences in abundance of mullets &#x2264;30 mm TL (CPUE) between sites (six levels) and months (12 levels) of the year were tested by a two-way ANOVA. Tukey post hoc tests were conducted to evaluate the paired comparisons that were significantly different. We used a non-metric multidimensional scaling (nMDS) plot to visualize the environmental factors and potential differences between sampling sites, from dissimilarity matrix of calculating the Euclidean distances. </p>
				<p>The relationships between the abundance of young mullets and the selected environmental variables were evaluated using generalized linear models (GLMs). Prior to the statistical analysis, a pairwise correlation matrix was constructed using Spearman&#x2019;s rank correlation coefficients to identify and prevent possible collinearities among abiotic variables. Significant correlations were observed between some variables (p&lt;0.05, r<sub>s</sub>&gt;0.8). Based on these results, eight explanatory variables were selected for inclusion in GLMs: month, sampling site, estuary area, estuary distance, tide, salinity, temperature and water transparency. Due to the high occurrence of zeros (40%) in the abundance data, two models were constructed: the first evaluated presence/absence of <italic>M. liza</italic> and the second assessed the positive abundances (beach seine samples with an occurrence of at least one <italic>M. liza</italic> individual). The first model estimated the probability of <italic>M. liza</italic> occurrence in the surf zone sampled (using <italic>M. liza</italic> presence as a response variable) using a logistic regression model with a log link function. The GLM used to model <italic>M. liza</italic> presence considered presence/absence (0 or 1 values) as the response variable and used the binomial family for the probability distribution of the error. The GLM used to model <italic>M. liza</italic> abundance used the log-transformed CPUE (Log (x+1)) as the response variable with a log link function, and the Gamma family was used for the probability distribution. A significant interaction between the month and the sampling point location was observed in a preliminary analysis (p&lt;0.05), and an interaction term between the month and the sampling point was therefore included in all models.</p>
				<p>The best model was selected according to the method described by <xref ref-type="bibr" rid="B29">Rodrigues et al. (2015)</xref>. The drop1 function was used to compare the full model with the reduced model, from which the interaction was eliminated using the chi-squared test. Stepwise selection was used to select the variables included in the final models and to rank them from most to least significant. All models were tested for overdispersion. The best final combination of variables was selected using the chi-squared test, the Akaike information criterion (AIC) and graphical residual analysis. The final model included only the significant variables. For each model, the relative contribution of each variable to the model was evaluated by comparing the percent deviance explained. A significance level of 0.05 was adopted for all statistical procedures, and all statistical procedures were performed using R software (<xref ref-type="bibr" rid="B27">R Development Core Team 2013</xref>).</p>
			</sec>
		</sec>
		<sec id="sec3" sec-type="results">
			<title>Results</title>
			<p>Significant differences in salinity (ANOVA, F=22.69; p&lt;0.05), temperature (ANOVA, F=10.74; p&lt;0.05) and water transparency (ANOVA, F=19.06 p&lt;0.05) were observed between sites and months over the study period (<xref ref-type="fig" rid="f2">Fig. 2</xref>). The mean values of seawater surface temperature differed among the six sampling sites but showed seasonal fluctuations with a clear annual cycle: they declined steadily from April to August (monthly average 21&#xb0;C-13.5&#xb0;C), and thereafter the monthly average temperature increased to 18.5&#xb0;C by September (<xref ref-type="fig" rid="f2">Fig. 2A</xref>). Site 2 (Rio Grande) had higher temperatures in the warmer months and lower temperatures in the colder months. Site 6 (Laguna) had lower temperatures in the warmer months (<xref ref-type="fig" rid="f2">Fig. 2A</xref>). Salinity showed no seasonal pattern (<xref ref-type="fig" rid="f2">Fig. 2B</xref>). The lowest salinity values were recorded at Sites 5 (Passo de Torres) and 6 (Laguna) (the lowest salinity value was recorded in August at Site 5). The highest salinities were found from May to July (<xref ref-type="fig" rid="f2">Fig. 2B</xref>). Significant differences were observed among sampling sites for water transparency, and sampling Site 6 (Laguna) showed the highest water transparency values in January, February, June, September and November (<xref ref-type="fig" rid="f2">Fig. 2C</xref>). The nMDS plot was used to compare the similarity in the environmental factors of sampling sites. It is possible to observe three groups in the nMDS plot: Site 1 (Chu&#xed;), separated from the other sites; Sites 2 (Rio Grande) and 3 (Mostardas); and Sites 4 (Tramanda&#xed;), 5 (Passo de Torres) and 6 (Laguna) (<xref ref-type="fig" rid="f3">Fig. 3</xref>).</p>
			<fig id="f2">
				<label>Fig. 2</label>
				<caption>
					<title>Temporal fluctuations in environmental variables (A) surface water temperature; (B) salinity; (C) transparency, of each sampling site</title>
					<p>Site 1, Chu&#xed;; Site 2, Rio Grande; Site 3, Mostardas; Site 4, Tramanda&#xed;; Site 5, Passo de Torres; and Site 6, Laguna. Error bars=standard error of the mean.</p>
				</caption>
				<graphic id="gra-2" xlink:href="SCIMAR-85-04-e021-gf2.png"/>
			</fig>
			<fig id="f3">
				<label>Fig. 3</label>
				<caption>
					<title>Non-metric multidimensional scaling (nMDS) ordination plot based on Euclidean distances matrix illustrating differences among sampling sites.</title>
					<p>Site 1, Chu&#xed;; Site 2, Rio Grande; Site 3, Mostardas; Site 4, Tramanda&#xed;; Site 5, Passo de Torres; and Site 6, Laguna. Stress of analysis=0.084.</p>
				</caption>
				<graphic id="gra-3" xlink:href="SCIMAR-85-04-e021-gf3.png"/>
			</fig>
			<p>A total of 6493 <italic>M. liza</italic> individuals were captured (<xref ref-type="table" rid="t2">Table 2</xref>). Significant differences in the number of individuals captured per beach seine sample (CPUE) were observed between the collection sites. Rio Grande (Site 2) had the highest abundance of <italic>M. liza</italic> (CPUE=26.4 individuals/haul; ANOVA, F=4.98, p&lt;0.05), representing more than 52% of the total of individuals caught at the six collection sites. No significant differences in abundance were observed among the remaining sites; 1) Chu&#xed;, 3) Mostardas, 4) Tramanda&#xed;, 5) Passo de Torres, and 6) Laguna (ANOVA, F=10.73, p&gt;0.05). Among the 12 sampling points, only points 3 and 4 (Site 2, Rio Grande) showed significant differences in mullet abundance (ANOVA, F=14.15; p&lt;0.05).</p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>- Total number and total length (TL in mm) range of <italic>Mugil liza</italic> sampled and percentage frequency of the size classes at each study site. The sampling effort was the same at all sites.</title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="center" rowspan="3">Site</th>
							<th align="center" rowspan="3">Total captured (n)</th>
							<th align="center" colspan="2" rowspan="2">Total length (mm) </th>
							<th align="center" colspan="19">Frequency of occurrence FO (%) / size classes (mm TL) </th>
						</tr>
						<tr>
							<th align="center" colspan="4">TL &#x2264; 30 mm </th>
							<th align="center" colspan="14">TL &gt; 30 TL mm </th>
							<th align="center">Monthly Frequency of occurrence FO (%) </th>
						</tr>
						<tr>
							<th align="center">min - max</th>
							<th align="center">mean &#xb1; sd</th>
							<th align="center">15</th>
							<th align="center">20</th>
							<th align="center">25</th>
							<th align="center">30</th>
							<th align="center">35</th>
							<th align="center">40</th>
							<th align="center">45</th>
							<th align="center">50</th>
							<th align="center">55</th>
							<th align="center">60</th>
							<th align="center">65</th>
							<th align="center">70</th>
							<th align="center">75</th>
							<th align="center">80</th>
							<th align="center">85</th>
							<th align="center">90</th>
							<th align="center">95</th>
							<th align="center">&gt;100</th>
							<th align="center">TL &#x2264; 30 mm</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left">1. Chu&#xed;</td>
							<td align="center">456</td>
							<td align="center">20 - 51</td>
							<td align="center">26.8 &#xb1; 4.6</td>
							<td align="center">0.4</td>
							<td align="center">38.9</td>
							<td align="center">49.5</td>
							<td align="center">9.5</td>
							<td align="center">0.2</td>
							<td align="center">0.5</td>
							<td align="center">0.3</td>
							<td align="center">0.7</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">75.0</td>
						</tr>
						<tr>
							<td align="left">2. Rio Grande</td>
							<td align="center">3402</td>
							<td align="center">20 - 67</td>
							<td align="center">28.6 &#xb1; 6.8</td>
							<td align="center">&#xa0;</td>
							<td align="center">9.8</td>
							<td align="center">77.8</td>
							<td align="center">10.0</td>
							<td align="center">1.0</td>
							<td align="center">0.7</td>
							<td align="center">0.3</td>
							<td align="center">0.2</td>
							<td align="center">0.1</td>
							<td align="left"> </td>
							<td align="center">0.1</td>
							<td align="center">0.1</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">100.0</td>
						</tr>
						<tr>
							<td align="left">3. Mostardas</td>
							<td align="center">624</td>
							<td align="center">24 - 103</td>
							<td align="center">28.3 &#xb1; 10.0</td>
							<td align="center">&#xa0;</td>
							<td align="center">4.3</td>
							<td align="center">58.5</td>
							<td align="center">13.7</td>
							<td align="center">8.2</td>
							<td align="center">6.6</td>
							<td align="center">2.3</td>
							<td align="center">2.3</td>
							<td align="center">0.6</td>
							<td align="center">1.3</td>
							<td align="center">1.1</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">0.6</td>
							<td align="center">83.3</td>
						</tr>
						<tr>
							<td align="left">4. Tramanda&#xed;</td>
							<td align="center">286</td>
							<td align="center">22 - 109</td>
							<td align="center">29.8 &#xb1; 14.4</td>
							<td align="center">0.3</td>
							<td align="center">19.2</td>
							<td align="center">69.2</td>
							<td align="center">8.0</td>
							<td align="center">0.3</td>
							<td align="center">0.7</td>
							<td align="center">1.0</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">0.3</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">0.7</td>
							<td align="center">100.0</td>
						</tr>
						<tr>
							<td align="left">5. P. Torres</td>
							<td align="center">391</td>
							<td align="center">22 - 126</td>
							<td align="center">30.6 &#xb1; 15.2</td>
							<td align="center">&#xa0;</td>
							<td align="center">18.4</td>
							<td align="center">70.1</td>
							<td align="center">7.4</td>
							<td align="center">1.5</td>
							<td align="center">1.0</td>
							<td align="center">0.8</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">0.3</td>
							<td align="center">0.3</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">0.3</td>
							<td align="center">83.3</td>
						</tr>
						<tr>
							<td align="left">6. Laguna</td>
							<td align="center">1334</td>
							<td align="center">12 - 82</td>
							<td align="center">31.1 &#xb1; 12.6</td>
							<td align="center">0.5</td>
							<td align="center">20.6</td>
							<td align="center">72.3</td>
							<td align="center">4.4</td>
							<td align="center">0.8</td>
							<td align="center">0.3</td>
							<td align="center">0.3</td>
							<td align="center">0.1</td>
							<td align="center">0.1</td>
							<td align="center">0.2</td>
							<td align="center">&#xa0;</td>
							<td align="center">0.2</td>
							<td align="center">0.2</td>
							<td align="center">0.1</td>
							<td align="center">&#xa0;</td>
							<td align="center">&#xa0;</td>
							<td align="center">&#xa0;</td>
							<td align="center">&#xa0;</td>
							<td align="center">91.6</td>
						</tr>
						<tr>
							<td align="center">Total</td>
							<td align="center">6493</td>
							<td align="center">12 - 126</td>
							<td align="center">29.0 &#xb1; 10.9</td>
							<td align="center" colspan="19"> </td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>The size distribution of the <italic>M. liza</italic> individuals varied between 12 mm and 126 mm TL. Individuals 30 mm TL were more abundant than larger individuals (TL&gt;30 mm) at all sites (ANOVA, F=13.050, p&lt;0.05) (<xref ref-type="fig" rid="f4">Fig. 4</xref>). At all sites, the total number of individuals from classes 15 to 30 (&#x2264;30 mm TL) represented more than 96% of all mullets collected, with the exception of Site 3 (Mostardas), where they represented 77% (<xref ref-type="table" rid="t2">Table 2</xref>). Individuals in size class 15 mm TL (10 to 15 mm TL) occurred occasionally at Chu&#xed; (Site 1), Tramanda&#xed; (Site 4) and Laguna (Site 6), but individuals from size class 25 mm TL were the modal length at all sampling sites (<xref ref-type="table" rid="t2">Table 2</xref>). Mullets &#x2264;30 mm TL occurred in all 12 months sampled at Sites 2 and 4 and were present among 9 to 11 of all months sampled at the other sampling sites (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			<fig id="f4">
				<label>Fig. 4</label>
				<caption>
					<title>
						<italic>Mugil liza</italic> juvenile abundance (Log (CPUE+1)) among the collection sites</title>
						<p>Site 1, Chu&#xed;; Site 2, Rio Grande; Site 3, Mostardas; Site 4, Tramanda&#xed;; Site 5, Passo de Torres; and Site 6, Laguna. Error bars, standard error of the mean; TL, total length (mm).</p>
				</caption>
				<graphic id="gra-4" xlink:href="SCIMAR-85-04-e021-gf4.png"/>
			</fig>
			<p>The best model for presence/absence of young mullets (i.e. lower AIC) included three significant variables (site, month and water temperature). Those variables explained 33.5% of the total deviance of the model. The water temperature alone explained more than half of the total deviance (23%) (<xref ref-type="table" rid="t3">Table 3</xref>). Young mullets were present in all seasons, but the probability of occurrence was higher in winter (May to July) and was associated with low temperatures (<xref ref-type="fig" rid="f5">Fig. 5A, B</xref>). The highest probability of occurrence of young mullets was observed at Site 2 (Rio Grande) (<xref ref-type="fig" rid="f5">Fig. 5C</xref>). The best GLM for the abundance data of <italic>M. liza</italic> included three explanatory variables, sampling site, month and water temperature (<xref ref-type="table" rid="t3">Table 3</xref>), and explained 39% of the total deviance of the model. Similar to the GLM model for presence/absence, the abundance GLM model showed that water temperature was responsible for more than half of the explained deviance (21%). Young mullets were observed in the surf zone in all months, and abundance was a positive relationship of temperature (<xref ref-type="fig" rid="f5">Fig. 5D, E</xref>). Mullet abundance was highest at Site 2 (Rio Grande) (<xref ref-type="fig" rid="f5">Fig. 5F</xref>).</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Analyses of deviances for the best generalized linear model obtained to explain the occurrence and abundance of the mullet <italic>Mugil liza</italic>. AIC, Akaike information criterion; Res. Dev., residual deviance; Dev. Expl., deviance explained in percentage; Sig., significance; *, p&lt;0.05; **, p&lt;0.01; ***, p&lt;0.001, positive (+) and negative (&#x2013;) slope. </title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="center"> </th>
							<th align="center">Introduced variables</th>
							<th align="center">AIC</th>
							<th align="center">Res. Dev.</th>
							<th align="center">Dev. Expl. </th>
							<th align="center">Sig.</th>
							<th align="center">Slope</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="center">
								<italic>Occurrence (binomial model)</italic>
							</td>
							<td align="center">~ (site&#xd7;month) + Temperature</td>
							<td align="center">829.5</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">Null (occurrence ~1)</td>
							<td align="center">1032.3</td>
							<td align="center">1030.3</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">~ site: month </td>
							<td align="left"> </td>
							<td align="center">924.6</td>
							<td align="center">10.5</td>
							<td align="center">*</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="center">&#xa0;</td>
							<td align="center">&#x2212; temperature</td>
							<td align="left"> </td>
							<td align="center">691.9</td>
							<td align="center">23.0</td>
							<td align="center">***</td>
							<td align="center">+</td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">Total explained</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">33.5</td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="center">
								<italic>Abundance (Gamma model)</italic>
							</td>
							<td align="center">~ (site&#xd7;month) + temperature </td>
							<td align="center">1041.0</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">Null (abundance ~1)</td>
							<td align="center">1129.5</td>
							<td align="center">147.7</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">~ site: month </td>
							<td align="left"> </td>
							<td align="center">122.7</td>
							<td align="center">17.4</td>
							<td align="center">***</td>
							<td align="center">-</td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">+ temperature</td>
							<td align="left"> </td>
							<td align="center">91.6</td>
							<td align="center">21.6</td>
							<td align="center">***</td>
							<td align="center">+</td>
						</tr>
						<tr>
							<td align="left"> </td>
							<td align="center">Total explained</td>
							<td align="left"> </td>
							<td align="left"> </td>
							<td align="center">39.0</td>
							<td align="left"> </td>
							<td align="left"> </td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<fig id="f5">
				<label>Fig. 5</label>
				<caption>
					<title>Relations between significant variables in the GLM models and mullet occurrence and abundance.</title>
					<p>Prediction of occurrence: (A) temperature, (B) month and (C) sampling site. Prediction of abundance (CPUE): (D) temperature, (E) month and (F ) sampling site. Site 1, Chu&#xed;; Site 2, Rio Grande; Site 3, Mostardas; Site 4, Tramanda&#xed;; Site 5, Passo de Torres; and Site 6, Laguna.</p>
				</caption>
				<graphic id="gra-5" xlink:href="SCIMAR-85-04-e021-gf5.png"/>
			</fig>
		</sec>
		<sec id="sec4" sec-type="discussion">
			<title>Discussion</title>
			<p>Surf zone habitats form a productive ecosystem, serving important functions as nursery areas, major fishery zones and migratory pathways. The importance of this area for species dependent on the estuary has long been known (<xref ref-type="bibr" rid="B36">Whitfield 1989</xref>). <xref ref-type="bibr" rid="B34">Vieira (1991)</xref> proposed a model for the early life history of <italic>M. liza</italic> in southern Brazil, suggesting that young individuals use the surf zone temporarily after the larval neustonic life stages and before recruitment to the estuarine environment. Young mullets remain present throughout the year in the surf zone over the entire sampling area. The surf zone is therefore an important environment for young mullets, and long periods in these areas could provide better opportunities for young mullets to find and penetrate estuaries.</p>
			<p>The recruitment to estuaries of species that spawn at sea has two major phases (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). The first is the arrival at and movement through the coastal zone. This phase is associated with physical factors responsible for the passive transport of organisms, such as tides, oceanographic fronts and coastal currents (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). The longshore currents in the study region follow the seasonal wind pattern. Strong winds from the south and southwest predominate between April and August (especially during the passage of cold fronts), causing strong currents towards the northeast (<xref ref-type="bibr" rid="B31">Seeliger et al. 1998</xref>). The importance of this wind pattern for the reproductive migration of adult individuals is already known (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>). However, during most of the year (September to March), there is a predominance of northeast winds and coastal currents with low intensity but high frequency towards the southwest (<xref ref-type="bibr" rid="B33">Tozzi and Calliari 2000</xref>). These coastal currents can be important for the transport of young mullets along the coast towards the south.</p>
			<p>The second phase of recruitment to estuaries is the aggregation of individuals near estuary mouths (<xref ref-type="bibr" rid="B4">Boehlert and Mundy 1988</xref>). Many of important commercial fish species recruit in estuaries, presumably in response to certain olfactory cues transported into the marine environment from either estuarine or freshwater sources (<xref ref-type="bibr" rid="B35">Wasserman and Strydom 2011</xref>). A strong aggregation of juvenile mugilids was observed in response to the presence of estuarine discharges in surf zones (<xref ref-type="bibr" rid="B32">Strydom 2003</xref>). In southern Brazil, <xref ref-type="bibr" rid="B29">Rodrigues et al. (2015)</xref> observed a positive effect of the weaker morphodynamics and the occurrence of an estuarine plume at the beach on the abundance of <italic>M. liza</italic> juveniles in the surf zone. Several environmental and ecological attributes were assessed in the present study to explain the occurrence and abundance of young mullets in the surf zone, and the abundance near the Patos Lagoon estuary mouth (Site 2) was significantly higher than that at the other sites sampled. The Patos Lagoon is the largest estuary in the study area, and the plume is related to the size of the drainage basin and the high discharge of the lagoon, which are important factors for the high sediment input into the adjacent coastal zone (<xref ref-type="bibr" rid="B10">Figueiredo and Calliari 2006</xref>). In contrast, the sediment input via estuarine discharge was not significant at the beaches adjacent to the Mampituba River, the Tramanda&#xed;-Armaz&#xe9;m Lagoon Complex and Chu&#xed; Creek (<xref ref-type="bibr" rid="B10">Figueiredo and Calliari 2006</xref>). Although water salinity and transparency were not important factors in explaining the occurrence and availability of young <italic>M. liza</italic> throughout the study area, the sediment input via estuarine discharge can be an important factor for explaining the greater abundance and occurrence of young mullet near the mouth of Patos Lagoon.</p>
			<p>The best models for presence/absence and for abundance of young mullets demonstrate that temperature was the factor that most contributed to the explanation of variance. However, temperature showed a negative relationship with the occurrence and a positive relationship with the abundance of young mullet in the study area. Young mullets were present in all seasons, but the probability of presence was higher in winter (May to July) and was associated with low temperatures. This can be explained by the reproductive migration of <italic>M. liza,</italic> which occurs at the end of the austral autumn and the beginning of the austral winter (from April to July), and the occurrence of one peak spawning in June between northern Santa Catarina and Paran&#xe1; (26&#xb0;S) (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>). Similar to the GLM model for presence/absence, the GLM model for abundance showed that the water temperature was responsible for more than half of the explained deviance, but mullet abundance was positively associated with temperature. The abundance of young mullets remained at the same level over a wide temperature range, between 16&#xb0;C and 24&#xb0;C.</p>
			<p>Juveniles of <italic>M. liza</italic> have been observed to remain in the surf zone for long periods in southern Brazil and Argentina (<xref ref-type="bibr" rid="B1">Acha 1990</xref>, <xref ref-type="bibr" rid="B34">Vieira 1991</xref>, <xref ref-type="bibr" rid="B6">Castellini et al. 2017</xref>). The specific size at which the mullets start to appear in surf zones and enter estuaries varies between authors (<xref ref-type="bibr" rid="B11">Gonz&#xe1;lez-Castro and Minos 2016</xref>). In the present study, we observed that individuals smaller than 15 mm TL occur occasionally throughout the study area. However, individuals &#x2264;30 mm TL represented more than 96% of all mullets collected (with the exception of Site 3, where they represented 77%) and were present in the surf zone at least 9 of the 12 months of the year. This result is in accordance with Vieira (1991), who demonstrated that after reaching approximately 20 mm TL, the young <italic>M. liza</italic> gradually migrate to the bottom in the surf zone and begin to feed on benthic organisms and mineral particles. At this stage, individuals occupy the surf zone before recruitment to the estuarine environment (<xref ref-type="bibr" rid="B34">Vieira 1991</xref>).</p>
			<p>From the larvae to juvenile stage, the feeding habits change from zooplanktophagous to iliophagous (<xref ref-type="bibr" rid="B1">Acha 1990</xref>, <xref ref-type="bibr" rid="B34">Vieira 1991</xref>). The surf zone occurrence of young mullets appears to be less important at beaches with strong morphodynamics, and in this situation the change in feeding habits seems to occur inside the estuaries (<xref ref-type="bibr" rid="B3">Blaber and Whitfield 1977</xref>). The coastal zone in our study area is characterized by an extensive dissipative beach (<xref ref-type="bibr" rid="B5">Calliari and Klein 1995</xref>, <xref ref-type="bibr" rid="B28">Ramos and Vieira 2001</xref>), and at dissipative beaches the transition between feeding habits may occur slowly and in the surf zone (<xref ref-type="bibr" rid="B2">Blaber and Blaber 1980</xref>). Considering that <italic>M. liza</italic> in southern Brazil show only one peak of spawning in June and young mullets occur year-round, it is possible that the young mullets that remained in the surf zone exhibited a lower growth rate than those that were already recruited to the estuary. Thus, long periods in the surf zone could provide better opportunities for young mullets to find and penetrate estuaries, but this would imply lower growth rates. However, comparative studies with different salinities (surf zone and estuarine areas) must be performed to analyse the available information on the biology and physiology of the young stages of <italic>M. liza</italic>.</p>
			<p>
				<xref ref-type="bibr" rid="B1">Acha (1990)</xref> and <xref ref-type="bibr" rid="B6">Castellini et al. (2017)</xref> also reported young mullets along the Argentinian coast throughout the year. <xref ref-type="bibr" rid="B12">Gonz&#xe1;lez-Castro et al. (2011)</xref> described a strong reproductive period in the austral winter (April-May), similar to that reported for southern Brazil, and a second period in the austral summer (November-December), which was not observed by <xref ref-type="bibr" rid="B16">Lemos et al. (2014)</xref> in southern Brazil. Those two periods of reproduction were used by <xref ref-type="bibr" rid="B6">Castellini et al. (2017)</xref> to explain the occurrence of young mullets with a minimum size of between 19 and 33 mm SL along the Argentinian coast throughout the year. However, <xref ref-type="bibr" rid="B16">Lemos et al. (2014)</xref> reviewed and described the reproductive biology of <italic>M. liza</italic> in southern Brazil and showed that the peak in the gonadosomatic index (IG) values for females caught in marine waters (by industrial purse seine fisheries) occurred in June (mean&#xb1;sd IG&#x2640;=11.5&#xb1;3.1) and was closely related to the presence of hyaline oocytes. The gonadosomatic index values for fish caught in Argentina are lower (4 to 6) according to <xref ref-type="bibr" rid="B12">Gonz&#xe1;lez-Castro et al. (2011)</xref>, who did not identify the presence of hyaline oocytes. The hydration phase during final maturation appears to be important in the production of pelagic (buoyant) mullet eggs, and the presence of hyaline oocytes has been associated with high salinity and sea surface temperatures of 19 to 21&#xb0;C (<xref ref-type="bibr" rid="B16">Lemos et al. 2014</xref>). Recently, <xref ref-type="bibr" rid="B25">Morado et al. (2021)</xref> describes a second breeding period in the summer for the mullet <italic>M. liza</italic> in a Brazilian tropical bay (Sepetiba Bay coast of the State of Rio de Janeiro). The summer spawning was not foreseen in the biological literature for this place, but the local ecological knowledge of artisanal fishermen associated this spawning season with a possible resident population (<xref ref-type="bibr" rid="B25">Morado et al. 2021</xref>). More studies must be carried out to support the hypothesis of a local summer spawning event in southern Brazil.</p>
			<p>In summary, the results of our study demonstrate that the probability of occurrence of young <italic>M. liza</italic> throughout the sampling area is higher in winter (May to July) and associated with low temperatures; however, young mullets remain present throughout the year in the surf zone over the entire sampling area. Site 2, adjacent to the Patos Lagoon estuary, had the highest probability of occurrence of all collection sites and the greatest abundance (n=3402) of young <italic>M. liza</italic>, which represented 52% of the total of individuals (n=6493) caught among the six sites sampled. Although other estuaries along the southern Brazilian coast are also used by mullets as nursery grounds (<xref ref-type="bibr" rid="B28">Ramos and Vieira 2001</xref>, <xref ref-type="bibr" rid="B20">Loebmann et al. 2005</xref>, <xref ref-type="bibr" rid="B9">Favero and Dias 2015</xref>), our results indicate that the Patos Lagoon estuary can be considered the largest nursery area for the southern population of <italic>M. liza</italic>, and corroborate the perception of local fishermen that Patos Lagoon is the largest nursery area for <italic>M. liza</italic> (<xref ref-type="bibr" rid="B15">Herbst and Hanazaki 2014</xref>). Comparative studies between surf zone and estuary growth rates, based on daily increment growth in otoliths, morphological development and changes in feeding habits in the <italic>M. liza</italic> ontogeny, should be performed to support some of the hypotheses raised in this work.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgements</title>
			<p>The authors thank the National Council for Scientific and Technological Development (CNPq), the Coordination for the Improvement of Higher Education Personnel (CAPES), the Brazilian Long-Term Ecological Research Programme (PELD-ELPA) and the Institute of Oceanography (IO-FURG). This work benefited from financial support provided by the CNPq (Proces. No. 406563/2012-8), the PELD (CNPq/PELD 34/2012 and CNPq/Capes/FAPs/BC-Fundo Newton 15/2016) and the CAPES (process A101/2013). VML currently has a postdoctoral fellowship from the CAPES (Proces. No. 88887.461550/2019-00) and JPV has received a grant from the CNPq (process 482236/2011-6).</p>
		</ack>
		<ref-list>
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							<surname>Acha</surname>
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						</string-name>
					</person-group>
					<year>1990</year>
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							<surname>Blaber</surname>
							<given-names>T.G.</given-names>
						</string-name>
					</person-group>
					<year>1980</year>
					<article-title>Factors affecting the distribution of juvenile estuarine and in shore fish</article-title>
					<source>J. Fish. Biol.</source>
					<volume>17</volume>
					<fpage>143</fpage>
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						</string-name>
						<string-name>
							<surname>Whitfield</surname>
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