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<article article-type="research-article" dtd-version="3.0" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SCIENTIA MARINA</journal-id>
			<journal-title-group>
				<journal-title>Scientia Marina</journal-title>
				<abbrev-journal-title>Sci Mar</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">0214-8358</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Científicas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			 <article-id pub-id-type="publisher-id">sm4521</article-id>
			 <article-id pub-id-type="doi">10.3989/scimar.04521.05A</article-id>
			 
			
		<title-group>
			  <article-title>Modelling the occurrence of postflexion stages of a marine estuarine-dependent fish in temperate South African estuaries</article-title>
			<trans-title-group xml:lang="es">
				<trans-title>Modelización de la aparición de larvas en estadio de postflexión de un pez estuárico dependiente en los estuarios templados de Sudáfrica</trans-title>
			</trans-title-group>
			<alt-title alt-title-type="running-head">Fish larvae occurrence models</alt-title>
		</title-group>
		
		<contrib-group>
			 <contrib contrib-type="author" corresp="yes"> 
			<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-5468-0230</contrib-id>
			<name>
				 <surname>Kisten</surname>
				 <given-names>Yanasivan</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<xref ref-type="aff" rid="U2"/>
			<xref ref-type="corresp" rid="cor1"/>
			<ext-link ext-link-type="email" xlink:href="mailto:yanasivan@gmail.com">yanasivan@gmail.com</ext-link>
		</contrib>
			 <contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4292-8678</contrib-id>
			<name>
				 <surname>Strydom</surname>
				 <given-names>Nadine A.</given-names>
			</name>
			<xref ref-type="aff" rid="U2"/>
			<ext-link ext-link-type="email" xlink:href="mailto:nadine.strydom@nmmu.ac.za">nadine.strydom@nmmu.ac.za</ext-link>
		</contrib>
			 <contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-9224-3573</contrib-id>
			<name>
				 <surname>Perissinotto</surname>
				 <given-names>Renzo</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<ext-link ext-link-type="email" xlink:href="mailto:renzo.perissinotto@nmmu.ac.za">renzo.perissinotto@nmmu.ac.za</ext-link>
		</contrib>
			 <contrib contrib-type="author" corresp="no"> 
			<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4657-9655</contrib-id>
			<name>
				 <surname>Paul</surname>
				 <given-names>Sourav</given-names>
			</name>
			<xref ref-type="aff" rid="U1"/>
			<ext-link ext-link-type="email" xlink:href="mailto:souravpaul4@gmail.com">souravpaul4@gmail.com</ext-link>
		</contrib>				
			  <aff id="U1">DST/NRF Research Chair in Shallow Water Ecosystems, Nelson Mandela Metropolitan University, <br />Summerstrand Campus South, P.O. Box 77000, Port Elizabeth 6031, South Africa.</aff>
			  <aff id="U2">Department of Zoology, Nelson Mandela Metropolitan University, Summerstrand Campus South, P.O. Box 77000, Port Elizabeth 6031, South Africa.</aff>
		 </contrib-group>
		 <contrib-group>
			<contrib contrib-type="editor">
				<name>
					<surname>Olivar</surname>
					<given-names>M.P.</given-names>
				</name>
				<role>Editor</role>
			</contrib>
		</contrib-group>
			<author-notes>
		<corresp id="cor1">e-mail: <email xlink:href="yanasivan@gmail.com">yanasivan@gmail.com</email>
		</corresp>
	</author-notes>	 			 
<pub-date pub-type="epub">
		<day>31</day>
		<month>3</month>
		<year>2017</year>
		</pub-date>
		<pub-date pub-type="collection">
		<year>2017</year>
		</pub-date>
		
		<volume>81</volume>
		<issue>1</issue>
		<fpage>27</fpage>
		<lpage>35</lpage>
		
		<elocation-id content-type="doi">10.3989/scimar.04521.05A</elocation-id>

		 <history>
		  	<date date-type="received">
				<day>21</day>
				<month>7</month>
				<year>2016</year>
			</date>
			<date date-type="accepted">
				<day>18</day>
				<month>11</month>
				<year>2016</year>
			</date>
			<date date-type="published">
				<day>23</day>
				<month>1</month>
				<year>2017</year>
			</date>
		 </history>
		 
		<permissions>
		<copyright-statement>&#x00A9; 2017 CSIC</copyright-statement>
		<copyright-year>2017</copyright-year>
				<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/">
		<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-by) Spain 3.0 License.</license-p>
		</license>
		</permissions>
		
		<abstract xml:lang="en">
		<title>SUMMARY</title>
		<p>The movement of postflexion larvae of marine estuarine-dependent species into estuaries is critical for the survival of fishes reliant on estuaries as nurseries. However, detailed studies focused on environmental variability experienced by postflexion larvae entering a range of estuary types under varying conditions are rare. This study assessed the in situ conditions (temperature, salinity and water clarity) under which the southern African endemic fish <italic>Rhabdosargus holubi </italic>(Sparidae) recruits into estuaries. Postflexion larvae were sampled in three biogeographic regions (cool temperate, warm temperate and subtropical boundary), which included three estuary types (permanently open estuaries (POEs), temporarily open/closed estuaries and estuarine lake systems) on a seasonal basis, independent of each other. <italic>Rhabdosargus holubi</italic> larvae were more abundant in spring and summer, in POEs in the warm temperate region. Models predicted that higher larval occurrence in estuaries is a function of lower salinity (e.g. mesohaline zones of 5-17.9 salinity) and lower water clarity (e.g. 0-0.2 K<sub>d</sub>, light extinction coefficient), particularly for warm, temperate POEs. This re-emphasizes the importance of freshwater for optimal nursery functioning, which may be compromised by impoundments, abstraction and climate change in water-short countries like South Africa.</p>
		</abstract>
		<trans-abstract xml:lang="es">
		<title>RESUMEN</title>
		<p>En las especies de peces dependientes de los estuarios marinos como zonas de cría, el movimiento de las larvas en estadio de postflexión hacia el interior de los estuarios es un proceso crítico para su supervivencia. Sin embargo, son raros los estudios detallados que analicen la variabilidad ambiental experimentada por estas larvas en diversos ambientes estuáricos. Este estudio evaluó las condiciones in situ (temperatura, salinidad y claridad del agua) bajo las que <italic>Rhabdosargus holubi</italic> (Sparidae), pez endémico de África meridional, recluta en los estuarios. Las larvas en postflexión se muestrearon estacionalmente en tres regiones biogeográficas, independientes entre sí, (templada-fría, templada-cálida y subtropical), que incluían tres tipos de estuarios (POE: estuarios permanentemente abiertos, TOC: estuarios temporalmente abiertos/cerrados y ELS: sistemas de lagos estuarinos). Las larvas de <italic>Rhabdosargus holubi</italic> fueron más abundantes durante la primavera y el verano, en POEs de la región templada-cálida. Los modelos predijeron que la mayor aparición de larvas en los estuarios es función de una menor salinidad (por ejemplo, zonas mesohalinas de 5-17.9 salinidad) y una menor claridad del agua (por ejemplo con coeficiente de extinción de luz de 0-0.2 K<sub>d</sub>), particularmente para POEs templado-cálidos. Esto reafirma la importancia del agua dulce para el funcionamiento óptimo como zona de cría, que puede verse comprometida por los embalses, la extracción de agua y el cambio climático en países con escasez de agua como Sudáfrica.</p>
		</trans-abstract>
		<kwd-group xml:lang="en">
			<title>KEYWORDS</title>
			<kwd>biogeography</kwd>
			<kwd>fish larvae</kwd>
			<kwd>recruitment</kwd>
			<kwd><italic>Rhabdosargus holubi</italic></kwd>
			<kwd>salinity</kwd>
			<kwd>turbidity</kwd>			
		</kwd-group>
		<kwd-group xml:lang="es">
			<title>PALABRAS CLAVE</title>
			<kwd>biogeografía</kwd>
			<kwd>larvas de peces</kwd>
			<kwd>reclutamiento</kwd>
			<kwd><italic>Rhabdosargus holubi</italic></kwd>
			<kwd>salinidad</kwd>
			<kwd>turbidez</kwd>
		</kwd-group>
	 </article-meta>
	</front>
		<body>
<sec id="S1">
<title>INTRODUCTION</title>
			
			<p>Many marine estuarine-opportunist and -dependent fish species in the Southern Hemisphere enter estuaries at the postflexion larval stage for protection, shelter, food, optimal growth and development (<xref ref-type="bibr" rid="CIT26">Neira et al. 1992</xref>, <xref ref-type="bibr" rid="CIT36">Whitfield 1994</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). However, compared with their counterparts in the marine environment, the larvae experience dynamically changing salinity, water temperature and turbidity, which influence their recruitment, survival, growth and distribution (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>, <xref ref-type="bibr" rid="CIT36">Whitfield 1994</xref>). In estuaries, temperature is often higher than in the marine environment and this favours growth in early-stage fishes (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>, <xref ref-type="bibr" rid="CIT11">Fielder et al. 2005</xref>, <xref ref-type="bibr" rid="CIT34">Strydom et al. 2014</xref>). Likewise, fluctuations in salinity influence energetic demands of fish larvae under specific estuarine conditions, impacting on survival, behaviour and distribution (<xref ref-type="bibr" rid="CIT11">Fielder et al. 2005</xref>, <xref ref-type="bibr" rid="CIT03">Bodinier et al. 2010</xref>). Some fish larvae use low-salinity and high-turbidity zones of estuaries to avoid predators, thus increasing their chances of survival (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>, <xref ref-type="bibr" rid="CIT24">Lehtiniemi et al. 2005</xref>). Often, low-salinity and high-turbidity zones are nutrient-rich, leading to increases in productivity and thus food availability for larval fishes (<xref ref-type="bibr" rid="CIT36">Whitfield 1994</xref>, <xref ref-type="bibr" rid="CIT19">Islam et al. 2006</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). Cueing, recruitment and movement studies have also shown the importance of high freshwater flow and related olfactory cues, temperature, turbidity and low salinity in the movement of larval and juvenile fish into and within estuaries (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>, <xref ref-type="bibr" rid="CIT30">Strydom 2003</xref>, <xref ref-type="bibr" rid="CIT22">Kisten et al. 2015</xref>). Similarly, environmental variables also affect the distribution of fish species among estuaries, as driving factors such as seasonal spawning and recruitment times, regional climate (e.g. temperate vs. tropical), inter-annual climate variability such as El Niño–Southern Oscillation (ENSO) and estuarine typology (e.g. estuaries that are permanently open, temporarily open or exhibiting lake basins, i.e. permanently open estuaries (POEs) vs. temporarily open/closed estuaries (TOCs) vs. estuarine lake systems (ELS) determine the structure of fish populations and communities (<xref ref-type="bibr" rid="CIT15">Harrison and Whitfield 2006</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). </p>
			<p>Of the five types of estuaries currently recognized in South Africa, POE and TOC systems dominate the coastline, providing a critical nursery habitat for the marine estuarine-opportunist and estuarine-dependent species (<xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>, <xref ref-type="bibr" rid="CIT32">Strydom and Whitfield 2000</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). The South African shoreline consists of various climatic biogeographical regions, from cool temperate on the south western coast to subtropical in the northeast, providing a variety of environments for fish to inhabit (<xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>). Much is known about fish larvae and juvenile assemblages within and among temperate South African estuaries (<xref ref-type="bibr" rid="CIT33">Strydom et al. 2003</xref>, <xref ref-type="bibr" rid="CIT35">Vorwerk et al. 2003</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>), but work is limited on large spatial scales focusing on a single species response to the range of environmental variability characterizing estuaries along the South African coast. This is important because the survival and distribution of many marine estuarine-opportunist and estuarine-dependent species such as <italic>Rhabdosargus</italic><italic> holubi</italic>, which in its juvenile stage exert a significant ecological effect as a herbivore and prey species for piscivorous fish and birds, emphasize the success of estuaries as nurseries and feeding areas (<xref ref-type="bibr" rid="CIT02">Blaber 1973</xref>, <xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>). However, South African estuaries are subject to irregular freshwater input and warming coastal waters which may place them at risk (<xref ref-type="bibr" rid="CIT13">Gillanders et al. 2011</xref>, <xref ref-type="bibr" rid="CIT17">IPCC 2013</xref>, <xref ref-type="bibr" rid="CIT18">2014</xref>). </p>
			<p>The Cape stumpnose, <italic>Rhabdosargus holubi</italic>, is a common endemic species along the southern African coast, extending from the Great Berg Estuary on the cool temperate southwest coast to Inhaca Island in the subtropical northeast (<xref ref-type="bibr" rid="CIT02">Blaber 1973</xref>, <xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>). <italic>Rhabdosargus holubi</italic> is a shallow water, marine species that is dependent on estuaries for its early life history until sexual maturity at ±150 mm standard length (<xref ref-type="bibr" rid="CIT02">Blaber 1973</xref>, <xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>). Adults typically spawn in the ocean from late winter to summer and postflexion larvae recruit from the surf zone into estuarine nurseries, where they undergo metamorphosis into juveniles (<xref ref-type="bibr" rid="CIT01">Beckley 1984</xref>, <xref ref-type="bibr" rid="CIT36">Whitfield 1994</xref>, <xref ref-type="bibr" rid="CIT30">Strydom 2003</xref>). The environmental dynamics of estuaries, coupled with varying estuary types and climatic regions along the temperate coast of South Africa, create a wide range of conditions that recruiting postflexion <italic>R. holubi</italic> larvae are subjected to (<xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). This, together with the ubiquity of this estuarine specialist species, makes <italic>R. holubi</italic> a good candidate for modelling the occurrence dynamics of a postflexion stage marine estuarine-dependent fish into estuaries over a large spatial scale. The present study aims to assess the relative importance of temperature, turbidity and salinity in determining the occurrence and abundance of the larval stages of this marine estuarine-dependent fish in estuaries. Consequently, the abundance of postflexion larvae of <italic>R. holubi</italic> in 25 estuaries along the temperate South African coast was assessed in order to understand the environmental conditions (temperature, salinity and water clarity) characterizing the recruitment phase of this species into estuaries and to provide a benchmark for comparison and prediction of potential future changes. For this purpose, multiple working a priori hypotheses were set before the analyses. These included that the occurrence and abundance of <italic>R. holubi</italic> postflexion larvae differs between: 1) biogeographic regions, due to the difference in climate and associated environmental variables; 2) estuarine types, due to the difference is access opportunities; and 3) seasons, due to the changes in temperature and freshwater input. Consequently, it was further hypothesized that the density of <italic>R. holubi</italic> postflexion larvae present in estuaries is determined by a combination of temperature, salinity and water clarity.</p>
			
		 </sec>
<sec id="S2">
<title>MATERIALS AND METHODS</title>
			
<sec id="S2.1">
<title>Study areas</title>
			
		  <p>The environmental and larval abundance data for this study were excised from a larger study investigating larval fish communities in 25 temperate estuaries in South Africa (<xref ref-type="fig" rid="F1">Fig. 1</xref>), further details of which can be found in <xref ref-type="bibr" rid="CIT31">Strydom (2015)</xref> and references therein. Sampling took place between 1998 and 2009 and included three types of estuaries (POE, TOC and ELS) in three different biogeographic regions (cool temperate, warm temperate and warm temperate/subtropical boundary, according to <xref ref-type="bibr" rid="CIT15">Harrison and Whitfield (2006)</xref>. Each estuary was sampled over four seasons (spring, summer, autumn, winter) and measurements were taken for a wide range of environmental variables, including salinity, temperature and water clarity (<xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="table" rid="T2">2</xref>). Only summer/winter data were available for Mngazi, Ngqusi and Nxaxo. Each estuary was sampled at least once during the 10-year period; sampling dates are detailed in <xref ref-type="table" rid="T1">Table 1</xref>. The region (<xref ref-type="fig" rid="F1">Fig. 1</xref>) included a cool temperate climate with high rainfall in winter in the west, to warm temperate bordering on subtropical climate in the east, with bimodal rainfall in autumn and spring (<xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). Estuaries sampled in 1998-1999 and 2008-2009 occurred during the La Niña phase of ENSO (0.3-1.8 SOI), whereas the remaining estuaries varied in El Niño and La Niña phases (–1.8-0.4) between seasons within each year (<ext-link ext-link-type="uri" xlink:href="www.cgd.ucar.edu/cas/catalog/climind/soi.htm">www.cgd.ucar.edu/cas/catalog/climind/soi.htm</ext-link>l).</p>
		  			<fig id="F1">
				<label>Fig. 1</label>
				<caption>
				<title>Location of estuaries sampled for fish larvae along the South African coast by <xref ref-type="bibr" rid="CIT31">Strydom (2015)</xref>.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm81n1-4521-web-resources/image/sm4521fig1_fmt.jpeg"/>
			</fig>

	<table-wrap id="T1">
			<label>Table 1</label>
		<caption>
			<title>Sampling years, biogeographic region, estuary type, catchment area and mean annual rainfall (MAR) for the 25 estuaries sampled in this study (adapted from <xref ref-type="bibr" rid="CIT31">Strydom, 2015</xref>), with associated medians and ranges of salinity, temperature, water clarity (extinction coefficient) and postflexion larval density of <italic>Rhabdosargus holubi</italic> recorded. ELS, estuarine lake system; TOC, temporarily open/closed estuary; and POE, permanently open estuary. <sup>a</sup> Sundays was additionally sampled during 2008-2010. <sup>b</sup> Mngazi, Ngqusi and Nxaxo estuaries were only sampled during summer and winter.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
                <tr>
                  <th rowspan="2">Estuary</th>
                  <th rowspan="2">Year sampled</th>
                  <th rowspan="2">Biogeographic region</th>
                  <th rowspan="2">Estuary type</th>
                  <th rowspan="2"> Catchment area (km<sup>2</sup>) </th>
                  <th rowspan="2"> MAR <br />
                    (×106 m<sup>3</sup>) </th>
                  <th colspan="2"> Salinity </th>
                  <th colspan="2">Temperature (°C) </th>
                  <th colspan="2"> Water clarity (Kd) </th>
                  <th colspan="2"> Larval density (ind/100 m<sup>3</sup>) </th>
                </tr>
                <tr>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td> Bot (BO) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> ELS </td>
                  <td>913</td>
                  <td>116</td>
                  <td>35.57</td>
                  <td>7.70-38.71</td>
                  <td>21.70</td>
                  <td>13.47-25.02</td>
                  <td>0.01</td>
                  <td>0.004-0.03</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Diep (DI) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> TOC </td>
                  <td>1365</td>
                  <td>43</td>
                  <td>12.95</td>
                  <td>6.49-28.17</td>
                  <td>22.69</td>
                  <td>17.52-24.75</td>
                  <td>0.03</td>
                  <td>0.03-0.06</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Great Berg (GR) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> POE </td>
                  <td>7700</td>
                  <td>913</td>
                  <td>16.19</td>
                  <td>0-34.31</td>
                  <td>19.51</td>
                  <td>13.13-24.92</td>
                  <td>0.02</td>
                  <td>0.01-0.90</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Klein (KL) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> ELS </td>
                  <td>750</td>
                  <td>40</td>
                  <td>33.32</td>
                  <td>8.72-34.08</td>
                  <td>21.90</td>
                  <td>13.76-24.10</td>
                  <td>0.01</td>
                  <td>0.01-0.02</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Lourens (LO) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> TOC </td>
                  <td>92</td>
                  <td> 21 </td>
                  <td>5.96</td>
                  <td>0-18.71</td>
                  <td>21.91</td>
                  <td>13.64-22.70</td>
                  <td>0.02</td>
                  <td>0.02-0.07</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Olifants (OL) </td>
                  <td>2003-2004</td>
                  <td>Cool temperate</td>
                  <td> POE </td>
                  <td>46625</td>
                  <td>1220</td>
                  <td>21.19</td>
                  <td>2.80-33.06</td>
                  <td>21.24</td>
                  <td>12.65-24.77</td>
                  <td>0.02</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Breede (BR) </td>
                  <td>2003-2004</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>12625</td>
                  <td>1893</td>
                  <td>11.01</td>
                  <td>0-30.00</td>
                  <td>22.18</td>
                  <td>14.30-23.20</td>
                  <td>0.03</td>
                  <td>0.01-0.05</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Great Fish (GF) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td>POE</td>
                  <td>30366</td>
                  <td>519</td>
                  <td>9.69</td>
                  <td>0-35.27</td>
                  <td>20.13</td>
                  <td>15.09-26.43</td>
                  <td>0.09</td>
                  <td>0.01-1.70</td>
                  <td>0</td>
                  <td>0-91</td>
                </tr>
                <tr>
                  <td>Goukou (GO)</td>
                  <td>2003-2004</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>1550</td>
                  <td>5</td>
                  <td>22.97</td>
                  <td>4.42-35.03</td>
                  <td>22.61</td>
                  <td>14.96-24.41</td>
                  <td>0.01</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td> 0-4 </td>
                </tr>
                <tr>
                  <td>Gamtoos (GT)</td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>34635</td>
                  <td>495</td>
                  <td>26.31</td>
                  <td>0.60-34.68</td>
                  <td>19.37</td>
                  <td>11.13-25.77</td>
                  <td>0.02</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0-24</td>
                </tr>
                <tr>
                  <td> Heuninges (HE) </td>
                  <td>2003-2004</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>1508</td>
                  <td>37</td>
                  <td>32.57</td>
                  <td>2.28-35.73</td>
                  <td>20.91</td>
                  <td>16.31-23.19</td>
                  <td>0.01</td>
                  <td>0.01-0.09</td>
                  <td>0</td>
                  <td>0-7</td>
                </tr>
                <tr>
                  <td> Kariega (KG) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>685</td>
                  <td>15</td>
                  <td>34.18</td>
                  <td>25.45-35.74</td>
                  <td>20.28</td>
                  <td>9.01-27.92</td>
                  <td>0.02</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0-10</td>
                </tr>
                <tr>
                  <td> Keiskamma (KK) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>2645</td>
                  <td>170</td>
                  <td>10.19</td>
                  <td>0-34.70</td>
                  <td>20.76</td>
                  <td>15.71-26.38</td>
                  <td>0.07</td>
                  <td>0.02-1.70</td>
                  <td>0</td>
                  <td>0-153</td>
                </tr>
                <tr>
                  <td> Kowie (KO) </td>
                  <td>2005-2007</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>691</td>
                  <td>26</td>
                  <td>32.60</td>
                  <td>1.58-36.92</td>
                  <td>19.94</td>
                  <td>13.84-27.94</td>
                  <td>0.02</td>
                  <td>0.004-0.17</td>
                  <td>0</td>
                  <td>0-13</td>
                </tr>
                <tr>
                  <td> Kromme (KR) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>1048</td>
                  <td>116</td>
                  <td>34.93</td>
                  <td>32.32-36.68</td>
                  <td>17.14</td>
                  <td>13.00-25.29</td>
                  <td>0.02</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0-5</td>
                </tr>
                <tr>
                  <td> Sundays (SD) </td>
                  <td> 1998-1999a </td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>20990</td>
                  <td>280</td>
                  <td>15.53</td>
                  <td>1.53-36.54</td>
                  <td>20.28</td>
                  <td>11.63-28.49</td>
                  <td>0.03</td>
                  <td>0.01-0.09</td>
                  <td>0</td>
                  <td>0-117</td>
                </tr>
                <tr>
                  <td> Swartkops (SW) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> POE </td>
                  <td>1354</td>
                  <td>84</td>
                  <td>29.60</td>
                  <td>19.10-35.39</td>
                  <td>18.10</td>
                  <td>14.89-26.52</td>
                  <td>0.01</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0-71</td>
                </tr>
                <tr>
                  <td> East Kleinemonde (EK) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td>TOC</td>
                  <td>46</td>
                  <td>2</td>
                  <td>14.60</td>
                  <td>10.69-23.71</td>
                  <td>23.14</td>
                  <td>13.28-26.02</td>
                  <td>0.02</td>
                  <td>0.01-0.03</td>
                  <td>0</td>
                  <td>0-13</td>
                </tr>
                <tr>
                  <td> Gqutywa (GQ) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td>TOC</td>
                  <td>85</td>
                  <td>6</td>
                  <td>39.87</td>
                  <td>35.66-43.19</td>
                  <td>22.79</td>
                  <td>15.11-28.01</td>
                  <td>0.03</td>
                  <td>0.02-0.04</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Kabeljous (KB) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> TOC </td>
                  <td>400</td>
                  <td>27</td>
                  <td>34.33</td>
                  <td>19.79-40.57</td>
                  <td>20.07</td>
                  <td>14.33-26.43</td>
                  <td>0.02</td>
                  <td>0.01-0.04</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Old Womans (OW) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td>TOC</td>
                  <td>24</td>
                  <td>1</td>
                  <td>31.65</td>
                  <td>16.91-36.28</td>
                  <td>21.55</td>
                  <td>13.27-27.20</td>
                  <td>0.01</td>
                  <td>0.01-0.02</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Van Stadens (VS) </td>
                  <td>1998-1999</td>
                  <td>Warm temperate</td>
                  <td> TOC </td>
                  <td>90</td>
                  <td>21</td>
                  <td>13.27</td>
                  <td>2.69-18.94</td>
                  <td>20.60</td>
                  <td>11.99-28.64</td>
                  <td>0.01</td>
                  <td>0.01-0.02</td>
                  <td>0</td>
                  <td>0</td>
                </tr>
                <tr>
                  <td> Mngazi (MN) </td>
                  <td> 2003-2005b </td>
                  <td>Subtropical Boundary</td>
                  <td>POE</td>
                  <td>561</td>
                  <td>87</td>
                  <td>27.45</td>
                  <td>10.10-37.4</td>
                  <td>20.58</td>
                  <td>15.50-27.30</td>
                  <td>0.07</td>
                  <td>0.01-0.38</td>
                  <td>0</td>
                  <td>0-22</td>
                </tr>
                <tr>
                  <td> Ngqusi (NG) </td>
                  <td> 2007-2008b </td>
                  <td>Subtropical Boundary</td>
                  <td> POE </td>
                  <td>134</td>
                  <td>11</td>
                  <td>36.33</td>
                  <td>28.33-37.69</td>
                  <td>18.45</td>
                  <td>15.10-23.94</td>
                  <td>0.02</td>
                  <td>0.01-0.02</td>
                  <td>0</td>
                  <td> 0-2 </td>
                </tr>
                <tr>
                  <td>Nxaxo (NX)</td>
                  <td> 2007-2008b </td>
                  <td>Subtropical Boundary</td>
                  <td>POE</td>
                  <td>134</td>
                  <td>11</td>
                  <td>36.39</td>
                  <td>30.25-37.68</td>
                  <td>18.51</td>
                  <td>15.60-26.77</td>
                  <td>0.02</td>
                  <td>0.01-0.02</td>
                  <td>0</td>
                  <td> 0-2 </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          </sec>
<sec id="S2.2">
<title>Field sampling</title>
			
		  <p>Postflexion stages of <italic>R. holubi</italic> were collected between 1998 and 2009 using a standardized sampling protocol described in <xref ref-type="bibr" rid="CIT31">Strydom (2015)</xref> for each estuary sampled (<xref ref-type="table" rid="T1">Table 1</xref>). Each estuary was sampled for one year within this time period. Plankton tows were conducted via boat at near-equidistant stations along the length of each estuary. A 4.5-m boat was used to sample POEs, while a 2.5-m boat was used for smaller TOCs and ELS. Two slightly modified WP-2 plankton nets of 570 mm mouth diameter and 0.2 mm mesh aperture fitted with Kahlsico 005 WA 130 flowmeters were used to sample fish larvae at each station. Nets were deployed from a 3-m boom attached to the bow of the boat. In each estuary (<xref ref-type="table" rid="T1">Table 1</xref>), two samples were collected per station in each season over one year during the 10-year period. Towing was conducted at each station in darkness (after sunset) for three minutes, resulting in approximately 12-16 m<sup>3</sup> of water filtered for each sample. Nets were towed in the upper 0.8 m of the water column at a speed of 1-2 knots. Samples were fixed in 10% buffered formalin in estuarine water and returned to the laboratory for density counts. Fish were identified and measured to the nearest 0.1 mm for body length using a micrometer or Vernier callipers. Larval fish density was expressed as number of larvae per 100 m<sup>3</sup> of water filtered, after volume calibrations. Temperature (°C) and salinity were measured at each station using either a Valeport CTD instrument or a YSI 6600 Multi-parameter meter. Secchi depth (D in cm) was used as a proxy for water transparency at each station. Water transparency was calculated as extinction coefficient (k), where k=1.7/D (<xref ref-type="bibr" rid="CIT09">Dawes 1998</xref>). Stations were categorized into salinity zones based on a slightly modified Venice system appropriate for South African estuaries (<xref ref-type="bibr" rid="CIT30">Strydom et al. 2003</xref>). This included the following salinity zones and salinity ranges: Fresh (F) =0-0.49; Oligohaline (O) =0.5-4.9; Mesohaline (M) =5.0-17.9; Polyhaline (P) =18.0-29.9; Euhaline (E) =30.0-35.9; Hypersaline (H) ≥36. </p>
		  </sec>
<sec id="S2.3">
<title>Statistics</title>
			
		  <p>Results of Shapiro-Wilk tests showed that data of salinity (W=0.08, p&lt;0.005), water clarity (W=0.2, p&lt;0.005), temperature (W=0.98, p&lt;0.005) and <italic>R. holubi</italic> larval density (W=0.15, p&lt;0.005) were not normally distributed. Therefore, Kruskal-Wallis ANOVAs or Mann-Whitney-Wilcoxon tests (depending on where <italic>R. holubi</italic> were found) were used to compare the above variables between biogeographical regions (i.e. cool temperate, warm temperate and warm temperate/subtropical boundary), estuary types (i.e. POEs, TOCs and ELS) and seasons (i.e. spring, summer, autumn and winter). These were followed by ‘Nemenyi’ post-hoc tests where necessary, using the ‘PMCMR’ package in CRAN R 3.2.1 for Windows (<xref ref-type="bibr" rid="CIT28">R Core Development Team 2015</xref>). All the confidence intervals were set at 95%. K-W (χ<sup>2</sup>) and p values with associated DF were reported. </p>
			
		  </sec>
<sec id="S2.4">
<title>Analysis of larval density data</title>
			
		  <p>No <italic>Rhabdosargus holubi</italic> individuals were found in the cool temperate region or in ELS systems, while only one TOC system exhibited fish in the sample collections, so these were not included in further data analyses. Thus, analyses of variability of <italic>R. holubi</italic> larval density were focused on POEs in the warm temperate and boundary zones. To determine whether <italic>R. holubi</italic> density (ind m<sup>–3</sup>) varied with ‘Season’, ‘Salinity’, ‘Temperature’ and ‘Water clarity’, generalized linear mixed models (GLMMs) were built in CRAN R 3.2.1 for Windows (<xref ref-type="bibr" rid="CIT28">R Core Development Team 2015</xref>). The aim was to determine the probable a priori hypotheses by using Aikake’s Information Criterion (AIC), i.e. the model with the lowest AIC value. Fish larval density followed an over-dispersed Poisson distribution, so the glmmADMB function of the ‘glmmADMB’ package was used with the negative binomial (‘nbinom1’) family. The dataset also exhibited &gt;40% zero values, due to either inadequate sampling or absence of <italic>R. holubi </italic>at certain sites, biogeographic regions or estuaries during parts of the year. Thus, the models were extended to zero-inflation for a better fit. The dataset had a hierarchical structure because the sites were sampled within each estuary falling under different regions. Therefore, a random variable (i.e. 1|site) was added to the intercepts of all the models to capture the variance which may be specific to a particular site. Models were restricted to second-order interactions for easier ecological interpretability. AIC values were corrected to compensate for a small dataset with over-dispersion, by using the following formula:</p>
		  <table-wrap>
		<table frame="hsides" rules="groups">
		    <tr>
		      <td width="95%"><p align="center"><math display='block'>
 <mrow>
  <mtext>QAICc</mtext><mo>=</mo><mo>&#x2212;</mo><mfrac>
   <mrow>
    <mn>2</mn><mi>log</mi><mo stretchy='false'>(</mo><mtext>likelihood</mtext><mo stretchy='false'>)</mo></mrow>
   <mi>&#x03C9;</mi>
  </mfrac>
  <mo>+</mo><mn>2</mn><mi>&#x03B8;</mi><mo>+</mo><mfrac>
   <mrow>
    <mn>2</mn><mi>&#x03B8;</mi><mo stretchy='false'>(</mo><mi>&#x03B8;</mi><mo>+</mo><mn>1</mn><mo stretchy='false'>)</mo></mrow>
   <mrow>
    <mtext>n</mtext><mo>&#x2212;</mo><mi>&#x03B8;</mi><mo>&#x2212;</mo><mn>1</mn></mrow>
  </mfrac>
  </mrow>
</math>
</p></td>
		      <td width="5%"></td>
	        </tr>
	      </table>
		  </table-wrap>
		  <p>where ω is the dispersion parameter, θ is the number of parameters in the model, and n is the sample size. Models were ranked based on ∆QAICc values (i.e. difference of QAICc value of a model from the model with the lowest QAICc value). It was assumed that models with ∆QAICc&lt;0.5 were equally probable, while models with ∆QAIC≤4 were considered to have partial data support. Models with ∆QAIC&gt;4 had minimal data support and were therefore not discussed further (<xref ref-type="bibr" rid="CIT06">Burnham and Anderson 2002</xref>). </p>
			</sec></sec>
<sec id="S3">
<title>RESULTS</title>
<sec id="S3.1">
<title>Variability in environmental parameters</title>
			
		  <p>Median and range of salinity, temperature, water clarity and larval density for each estuary are shown in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref>, with seasonal, regional and typological values shown in <xref ref-type="table" rid="T2">Table 2</xref>. Salinity levels varied between seasons (χ<sup>2</sup>=8.64, df=3, p=0.03), with spring showing lower values than winter (p&lt;0.005, <xref ref-type="table" rid="T2">Table 2</xref>). Biogeographical regions (χ<sup>2</sup>=55.16, df=2, p&lt;0.005) exhibited considerable variations in salinity, in particular estuaries in the boundary (subtropical/warm temperate) region were more saline than those of the warm temperate region (p&lt;0.005, <xref ref-type="table" rid="T2">Table 2</xref>). Finally, individual estuaries exhibited considerable differences in salinity levels (χ<sup>2</sup>=598.25, df=24, p&lt;0.005). </p>
		  			<fig id="F2">
				<label>Fig. 2</label>
				<caption>
				<title>Seasonal salinity, temperature, water clarity and postflexion larval density of <italic>Rhabdosargus holubi</italic> in 25 estuaries on the South African coast. Estuary names and codes are specified in <xref ref-type="table" rid="T1">Table 1</xref>.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm81n1-4521-web-resources/image/sm4521fig2_fmt.jpeg"/>
			</fig>

	<table-wrap id="T2">
			<label>Table 2</label>
		<caption>
			<title>Seasonal, regional and typological medians and ranges of salinity, temperature, water clarity and postflexion larval density of <italic>Rhabdosargus holubi</italic> recorded in 25 estuaries in temperate South Africa. Estuarine Type: ELS, estuarine lake system; TOC, temporarily open/closed estuary; and POE, permanently open estuary. Regions: Cool, Cool Temperate Region; Warm, Warm Temperate Region; Boundary, Warm temperate/Subtropical Boundary. Superscript letters (a, b, c) indicate statistical similarity between treatments according to Kruskal-Wallis ANOVAs.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
                <tr>
                  <th rowspan="2">Factor</th>
                  <th></th>
                  <th colspan="2">Salinity</th>
                  <th colspan="2">Temperature (°C)</th>
                  <th colspan="2"> Water clarity (K<sub>d</sub>) </th>
                  <th colspan="2"> Larval density (ind/100 m<sup>3</sup>) </th>
                </tr>
                <tr>
                  <th></th>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                  <th>Median</th>
                  <th>Range</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td rowspan="4"> Season </td>
                  <td>Spring</td>
                  <td> 24.18<sup>a</sup></td>
                  <td>0-41.15</td>
                  <td> 18.41<sup>a</sup></td>
                  <td>13.64-24.25</td>
                  <td> 0.02<sup>a</sup></td>
                  <td>0.01-0.11</td>
                  <td> 0<sup>a</sup></td>
                  <td>0-102 </td>
                </tr>
                <tr>
                  <td>Summer</td>
                  <td> 27.21<sup>ab</sup></td>
                  <td>0-7.69 </td>
                  <td> 24.53<sup>b</sup></td>
                  <td>15.10-28.64</td>
                  <td> 0.02<sup>b</sup></td>
                  <td>0-1.7</td>
                  <td> 0<sup>a</sup></td>
                  <td>0-153 </td>
                </tr>
                <tr>
                  <td>Autumn</td>
                  <td> 28.60<sup>ab</sup></td>
                  <td>0-43.19</td>
                  <td> 21.71<sup>c</sup></td>
                  <td>0-26.43</td>
                  <td> 0.02<sup>b</sup></td>
                  <td>0-0.57</td>
                  <td> 0<sup>b</sup></td>
                  <td>0-8 </td>
                </tr>
                <tr>
                  <td>Winter</td>
                  <td> 27.97<sup>b</sup></td>
                  <td>0-39.52</td>
                  <td> 15.27<sup>d</sup></td>
                  <td>0-20.5</td>
                  <td> 0.02<sup>b</sup></td>
                  <td>0.004-38</td>
                  <td> 0<sup>b</sup></td>
                  <td>0-22 </td>
                </tr>
                <tr>
                  <td rowspan="3"> Type </td>
                  <td>ELS</td>
                  <td> 34.03<sup>a</sup></td>
                  <td>7.77-38.71</td>
                  <td> 21.88<sup>a</sup></td>
                  <td>13.47-25.02</td>
                  <td> 0.01<sup>a</sup></td>
                  <td>0.004-0.03</td>
                  <td> 0<sup>a</sup></td>
                  <td>0-0 </td>
                </tr>
                <tr>
                  <td>TOC</td>
                  <td> 21.26<sup>b</sup></td>
                  <td>0-43.19</td>
                  <td> 21.36<sup>a</sup></td>
                  <td>11.99-28.64</td>
                  <td> 0.02<sup>a</sup></td>
                  <td>0.001-0.7</td>
                  <td> 0<sup>b</sup></td>
                  <td>0-13 </td>
                </tr>
                <tr>
                  <td>POE</td>
                  <td> 27.33<sup>c</sup></td>
                  <td>0-37.69</td>
                  <td> 20.15<sup>a</sup></td>
                  <td>0-28.49</td>
                  <td> 0.02<sup>b</sup></td>
                  <td>0-1.7</td>
                  <td> 0<sup>c</sup></td>
                  <td>0-153 </td>
                </tr>
                <tr>
                  <td rowspan="3"> Region </td>
                  <td>Cool</td>
                  <td> 20.27<sup>a</sup></td>
                  <td>0-2.65</td>
                  <td> 21.59<sup>a</sup></td>
                  <td>12.65-25.02</td>
                  <td> 0.02<sup>a</sup></td>
                  <td>0.004-0.09</td>
                  <td> 0<sup>a</sup></td>
                  <td>0-0 </td>
                </tr>
                <tr>
                  <td>Warm</td>
                  <td> 27.80<sup>b</sup></td>
                  <td>0-43.19</td>
                  <td> 20.37<sup>a</sup></td>
                  <td>0-28.64</td>
                  <td> 0.02<sup>a</sup></td>
                  <td>0-1.7</td>
                  <td> 0<sup>b</sup></td>
                  <td>0-153 </td>
                </tr>
                <tr>
                  <td> Boundary </td>
                  <td> 32.20<sup>c</sup></td>
                  <td>10.10-37.69</td>
                  <td> 19.67<sup>a</sup></td>
                  <td>15.10-27.30</td>
                  <td> 0.06<sup>b</sup></td>
                  <td>0-0.38</td>
                  <td> 0<sup>b</sup></td>
                  <td>0-22 </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Water clarity also differed between seasons (χ<sup>2</sup>=16.74, df=3, p&lt;0.005) and biogeographic regions (χ<sup>2</sup>=23.89, df=2, p&lt;0.005), and within individual estuaries (χ<sup>2</sup>=516.48, df=24, p&lt;0.005). Higher clarity was recorded in boundary region estuaries (p&lt;0.005, <xref ref-type="table" rid="T2">Table 2</xref>). Clarity was lower during in spring than in any other season (p&lt;0.005, <xref ref-type="table" rid="T2">Table 2</xref>). </p>
			<p>However, temperature did not differ between biogeographic regions (χ<sup>2</sup>=0.76, df=2, p=0.68) or individual estuaries (χ<sup>2</sup>=34.64, df=24, p=0.07). Temperature varied between seasons (χ<sup>2</sup>=882.95, df=3, p&lt;0.005), with higher values recorded in summer followed by autumn, spring and winter (p&lt;0.005, <xref ref-type="table" rid="T2">Table 2</xref>). </p>
			
		  </sec>
<sec id="S3.2">
<title>Larval fish abundance</title>
			
		  <p>Larval <italic>R. holubi</italic> density did not differ between warm temperate and boundary regions (W=45088, p=0.51). Larval density differed between seasons (χ<sup>2</sup>=21.03, df=3, p&lt;0.005), with higher densities in spring and summer (p&lt;0.005). Larval density also varied between different salinity zones (χ<sup>2</sup>=64.06, df=5, p&lt;0.005), with higher larval densities at mesohaline sites (median=0, range 0-91 ind/100 m<sup>3</sup>), followed by polyhaline (median=0, range 0-153 ind/100 m<sup>3</sup>), oligohaline (median=0, range 0-102 ind/100 m<sup>3</sup>), euhaline (median=0, range 0-71 ind/100 m<sup>3</sup>), hypersaline (median=0, range 0-14 ind/100 m<sup>3</sup>) and freshwater sites (median=0 ind/100 m<sup>3</sup>) (p&lt;0.05).</p>
			
		  </sec>
<sec id="S3.3">
<title>Larval response to environmental variability</title>
			
		  <p>According to the results of AIC model selection statistics (<xref ref-type="table" rid="T3">Table 3</xref>), for the warm temperate region, Model 1 (i.e. Density~Salinity×Clarity) was found to be the most parsimonious (ΔQAICc=0) (<xref ref-type="table" rid="T4">Table 4</xref>), with the negative effects of salinity and water clarity interacting with each other to limit the density of <italic>R. holubi</italic> larvae. Model 2 (Density~Salinity, ΔQAICc=1.2) ranked as the second most probable exaptation behind the observed variability of <italic>R. holubi</italic> larval density (<xref ref-type="table" rid="T3">Table 3</xref>). The rest of the models listed in <xref ref-type="table" rid="T3">Table 3</xref> showed less data support for the hypotheses proposed. However, for the boundary region, Model 1 (i.e. Density~Salinity, ΔQAICc=0) and Model 2 (i.e. Density~Clarity, ΔQAICc=0.12) were found to provide almost equally probable hypotheses explaining the observed variation in <italic>R. holubi</italic> larval density (<xref ref-type="table" rid="T3">Table 3</xref>). Clarity (i.e. Model 2) negatively affected the larval density of <italic>R. holubi</italic>, while salinity (i.e. Model 1) had a positive effect on it (detailed in <xref ref-type="table" rid="T4">Table 4</xref>). Model 3 (i.e. Density~Temperature, ΔQAICc=1.39) and Model 4 (i.e. Density~Salinity×Temperature, ΔQAICc=2.16) showed some data support for the respective hypotheses. The remaining models listed in <xref ref-type="table" rid="T3">Table 3</xref> were found to have limited (Model 5, ΔAIC=7.59) or no data support for the hypotheses.</p>
		  	<table-wrap id="T3">
			<label>Table 3</label>
		<caption>
			<title>GLMM model AIC values of <italic>Rhabdosargus holubi</italic> postflexion larval densities modelling the effect of season, salinity, temperature and water clarity for permanently open estuaries in warm temperate and warm temperate/subtropical boundary regions. AIC values were corrected for quasi Poisson distributions and sample size (QAICc). Sample sizes are given as ‘n’ and negative binomial dispersion is given as ‘ω’.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
		        <tr>
		          <th>Region</th>
		          <th>Model</th>
		          <th> Predictors </th>
		          <th>n</th>
		          <th>Log-Likelihood</th>
		          <th>ω</th>
		          <th>Zero-Inflation</th>
		          <th> QAICc </th>
		          <th> ΔAIC </th>
	            </tr>
	          </thead>
		      <tbody>
		        <tr>
		          <td> Warm </td>
		          <td>1</td>
		          <td> Salinity × Clarity </td>
		          <td>832</td>
		          <td>–599.98</td>
		          <td>26.08</td>
		          <td>0.76</td>
		          <td>50.02</td>
		          <td>0.00</td>
	            </tr>
		        <tr>
		          <td rowspan="6"> Temperate </td>
		          <td>2</td>
		          <td> Salinity </td>
		          <td>832</td>
		          <td>–617.39</td>
		          <td>25.09</td>
		          <td>0.82</td>
		          <td>51.22</td>
		          <td> 1.20 </td>
	            </tr>
		        <tr>
		          <td>3</td>
		          <td> Clarity </td>
		          <td>832</td>
		          <td>–623.01</td>
		          <td>21.56</td>
		          <td>0.88</td>
		          <td>59.80</td>
		          <td>9.78</td>
	            </tr>
		        <tr>
		          <td>4</td>
		          <td> Clarity × Temperature </td>
		          <td>832</td>
		          <td>–611.33</td>
		          <td>20.88</td>
		          <td>0.84</td>
		          <td>62.57</td>
		          <td> 12.55 </td>
	            </tr>
		        <tr>
		          <td>5</td>
		          <td> Temperature </td>
		          <td>832</td>
		          <td>–617.78</td>
		          <td>19.22</td>
		          <td>0.87</td>
		          <td>66.30</td>
		          <td>16.27</td>
	            </tr>
		        <tr>
		          <td>6</td>
		          <td> Season </td>
		          <td>832</td>
		          <td>–606.66</td>
		          <td>18.24</td>
		          <td>0.84</td>
		          <td>68.54</td>
		          <td> 18.51 </td>
	            </tr>
		        <tr>
		          <td>7</td>
		          <td> Salinity × Temperature </td>
		          <td>832</td>
		          <td>–608.37</td>
		          <td>18.65</td>
		          <td>0.82</td>
		          <td>69.24</td>
		          <td>19.22</td>
	            </tr>
		        <tr>
		          <td rowspan="7"> Boundary </td>
		          <td>1</td>
		          <td> Salinity </td>
		          <td>92</td>
		          <td>–57.97</td>
		          <td>18.74</td>
		          <td>&lt;0.005</td>
		          <td>8.23</td>
		          <td>0.00</td>
	            </tr>
		        <tr>
		          <td>2</td>
		          <td> Clarity </td>
		          <td>92</td>
		          <td>–63.25</td>
		          <td>20.05</td>
		          <td>&lt;0.005</td>
		          <td>8.35</td>
		          <td>0.12</td>
	            </tr>
		        <tr>
		          <td>3</td>
		          <td> Temperature </td>
		          <td>92</td>
		          <td>–60.72</td>
		          <td>16.03</td>
		          <td>0.50</td>
		          <td>9.62</td>
		          <td>1.39</td>
	            </tr>
		        <tr>
		          <td>4</td>
		          <td> Salinity × Temperature </td>
		          <td>92</td>
		          <td>–57.66</td>
		          <td>18.43</td>
		          <td>&lt;0.005</td>
		          <td>10.39</td>
		          <td>2.16</td>
	            </tr>
		        <tr>
		          <td>5</td>
		          <td> Salinity × Clarity </td>
		          <td>92</td>
		          <td>–54.23</td>
		          <td>3.01</td>
		          <td>0.46</td>
		          <td>15.82</td>
		          <td>7.59</td>
	            </tr>
		        <tr>
		          <td>6</td>
		          <td> Season </td>
		          <td>92</td>
		          <td>–61.55</td>
		          <td>5.99</td>
		          <td>0.82</td>
		          <td>22.59</td>
		          <td>14.36</td>
	            </tr>
		        <tr>
		          <td>7</td>
		          <td> Clarity × Temperature </td>
		          <td>92</td>
		          <td>–51.11</td>
		          <td>1.00</td>
		          <td>0.82</td>
		          <td>106.26</td>
		          <td>98.02</td>
	            </tr>
	          </tbody>
	        </table>
	      </table-wrap>
		  	<table-wrap id="T4">
			<label>Table 4</label>
		<caption>
			<title>Best GLMM model statistics (using ΔAIC, <xref ref-type="table" rid="T3">Table 3</xref>) describing the influence of environmental variables on <italic>Rhabdosargus holubi </italic>postflexion larval densities in permanently open estuaries in warm temperate or warm temperate/subtropical boundary regions. Sal, Salinity; Clar, Clarity; Temp, Temperature.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
                <tr>
                  <th>Region</th>
                  <th> Model (Table 4) </th>
                  <th> ΔAIC </th>
                  <th>Factors</th>
                  <th>Slope</th>
                  <th>Slope SE</th>
                  <th> Z </th>
                  <th>p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Warm</td>
                  <td>1) Density ~ Sal × Clar</td>
                  <td>0.00</td>
                  <td>Sal</td>
                  <td>–0.13</td>
                  <td>0.02</td>
                  <td>–6.86</td>
                  <td>&lt;0.005</td>
                </tr>
                <tr>
                  <td rowspan="3"> Temperate </td>
                  <td></td>
                  <td></td>
                  <td>Clar</td>
                  <td>–24.64</td>
                  <td>4.88</td>
                  <td>–5.05</td>
                  <td>&lt;0.005 </td>
                </tr>
                <tr>
                  <td></td>
                  <td></td>
                  <td>Sal × Clar </td>
                  <td>2.08</td>
                  <td>0.39</td>
                  <td>5.38</td>
                  <td>&lt;0.005 </td>
                </tr>
                <tr>
                  <td>2) Density ~ Sal</td>
                  <td>1.20</td>
                  <td>Sal</td>
                  <td>–0.07</td>
                  <td>0.02</td>
                  <td>–4.17</td>
                  <td>&lt;0.005</td>
                </tr>
                <tr>
                  <td rowspan="3"> Boundary </td>
                  <td>1) Density ~ Sal</td>
                  <td>0.00</td>
                  <td>Sal</td>
                  <td>0.25</td>
                  <td>0.11</td>
                  <td>2.38</td>
                  <td> 0.02 </td>
                </tr>
                <tr>
                  <td>2) Density ~ Clar</td>
                  <td>0.12</td>
                  <td>Clar</td>
                  <td>–2.68</td>
                  <td>5.26</td>
                  <td>–0.51</td>
                  <td> 0.61 </td>
                </tr>
                <tr>
                  <td>3) Density ~ Temp</td>
                  <td>1.39</td>
                  <td>Temp</td>
                  <td>–0.24</td>
                  <td>0.13</td>
                  <td>–1.92</td>
                  <td> 0.06 </td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
       </sec></sec>
<sec id="S4">
<title>DISCUSSION</title>
			
		  <p>In warm temperate estuaries, <italic>R. holubi</italic> density generally increased in those sections of the estuary where salinity and water clarity were lowest. Additionally, in the estuaries at the boundary of warm temperate and subtropical regions, temperature was a secondary factor affecting densities of <italic>R. holubi</italic>. This supports the hypothesis that postflexion fish larvae such as <italic>R. holubi</italic> prefer less saline and less clear waters with optimal temperatures (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>). This is potentially because such conditions are favourable for faster growth rates in some larval fish (<xref ref-type="bibr" rid="CIT05">Bœuf and Payan 2001</xref>, <xref ref-type="bibr" rid="CIT12">Fiksen et al. 2002</xref>, <xref ref-type="bibr" rid="CIT11">Fielder et al. 2005</xref>). Additionally, <italic>R. holubi</italic> larvae may be utilizing less clear sections of estuaries as “visual shelter” or “protective isolation” from predators (<xref ref-type="bibr" rid="CIT12">Fiksen et al. 2002</xref>). Availability of prey items for fish larvae is also known to be higher in mesohaline areas, where nutrients reach a maximum (<xref ref-type="bibr" rid="CIT29">Snow et al. 2000</xref>, <xref ref-type="bibr" rid="CIT30">Strydom et al. 2003</xref>, <xref ref-type="bibr" rid="CIT07">Chícharo et al. 2006</xref>). These highly productive zones at the river-estuary interface have also been characterized as estuarine turbidity maximum (ETM) zones, due to the high incidence of sediment, nutrients, phytoplankton and zooplankton which attract foraging fish larvae and juveniles (<xref ref-type="bibr" rid="CIT29">Snow et al. 2000</xref>, <xref ref-type="bibr" rid="CIT30">Strydom et al. 2003</xref>, <xref ref-type="bibr" rid="CIT07">Chícharo et al. 2006</xref>). Simultaneously, the aforementioned causes may create conditions conducive to higher densities of larvae of <italic>R. holubi</italic> and other fishes, such as <italic>Gilchristella aestuaria</italic>, which exhibit a close relationship between behaviour and eco-physiology (<xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). <italic>Gilchristella aestuaria</italic> dominates the larval fish catch in these estuaries (<xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>), but estuarine species such as <italic>R. holubi</italic> are well adapted to competing for resources in planktonic stages.</p>
			<p>Seasonal fluctuations in temperature and salinity influence the density of fish larvae in estuaries of southern Africa and other temperate regions, as adults spawn mainly during the warmer spring and summer months (<xref ref-type="bibr" rid="CIT10">Faria et al. 2006</xref>, <xref ref-type="bibr" rid="CIT15">Harrison and Whitfield 2006</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). Spring and summer are the primary periods of spawning and recruitment of <italic>R. holubi </italic>into estuaries, coinciding with high rainfall periods in southern-eastern South Africa, excluding the Western Cape (<xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>, <xref ref-type="bibr" rid="CIT15">Harrison and Whitfield 2006</xref>, <xref ref-type="bibr" rid="CIT34">Strydom et al. 2014</xref>). Despite the seasonal importance of spawning in recruitment, the models indicated that season was not a main factor predicting the density of <italic>R. holubi</italic> in these estuaries. This may indicate that localized variation in environmental factors, such as inter-annual variability in climate and rainfall influencing cueing into estuaries from the nearshore spawning areas, may be more important for <italic>R. holubi</italic> recruitment than time of year (<xref ref-type="bibr" rid="CIT30">Strydom 2003</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>, <xref ref-type="bibr" rid="CIT22">Kisten et al. 2015</xref>). Previous studies have recognized the importance of freshwater inputs in recruitment of early-stage fishes from spawning grounds into estuaries, by providing chemical cues and favourable conditions (<xref ref-type="bibr" rid="CIT04">Boehlert and Mundy 1988</xref>, <xref ref-type="bibr" rid="CIT30">Strydom 2003</xref>, <xref ref-type="bibr" rid="CIT22">Kisten et al. 2015</xref>). Warmer conditions and nutrient inputs boost productivity in estuaries, thereby facilitating increased food availability, faster growth and development of fish larvae during spring and summer (<xref ref-type="bibr" rid="CIT16">Hays et al. 2005</xref>, <xref ref-type="bibr" rid="CIT19">Islam et al. 2006</xref>, <xref ref-type="bibr" rid="CIT31">Strydom 2015</xref>). Mesohaline or ETM zones at the river-estuary interface are usually highly productive (<xref ref-type="bibr" rid="CIT021">Jerling and Wooldridge 1991</xref>, <xref ref-type="bibr" rid="CIT29">Snow et al. 2000</xref>) and likely to support a high density of fish larvae, as previously observed by <xref ref-type="bibr" rid="CIT19">Islam et al. (2006)</xref> and <xref ref-type="bibr" rid="CIT31">Strydom (2015)</xref>, and also evident in the current study. Conversely, low densities of <italic>R. holubi</italic> larvae were observed in euhaline and hypersaline zones. </p>
			<p>The highest densities of <italic>R. holubi</italic> larvae were recorded in POEs, reflecting the open connection with the ocean, as compared with sporadic overwashing events and seasonal opening of TOCs (<xref ref-type="bibr" rid="CIT14">Harris and Cyrus 2000</xref>, <xref ref-type="bibr" rid="CIT08">Cowley et al. 2001</xref>, <xref ref-type="bibr" rid="CIT30">Strydom et al. 2003</xref>). <italic>Rhabdosargus holubi</italic> does recruit into some TOCs, but mostly during overwashing and berm-breaching events after major rainfall events, when salinity is lowered and riverine olfactory cues drain into the ocean (<xref ref-type="bibr" rid="CIT08">Cowley et al. 2001</xref>, <xref ref-type="bibr" rid="CIT30">Strydom 2003</xref>). However, <italic>R. holubi</italic> was absent from all samples collected in the Great Berg Estuary, despite it being a permanently open and highly productive estuary with a high mean rainfall within its distribution range (<xref ref-type="bibr" rid="CIT37">Whitfield 1998</xref>, <xref ref-type="bibr" rid="CIT25">Montoya-Maya 2009</xref>). Further, cool temperate estuaries exhibited no <italic>R. holubi</italic> larvae at the time of sampling. This lack remains unexplained, as results show that lower salinities and water clarity were also recorded in these systems and estuaries were sampled during La Niña or high rainfall periods, and they show no difference in temperature compared with warm temperate and boundary regions. </p>
			<p>This study has outlined the importance of estuary type, biogeography, environmental salinity, temperature and water clarity in determining the occurrence and density of <italic>R. holubi</italic> larvae along the southern African coast. Occurrence and abundance of <italic>R. holubi </italic>larvae are optimal at low salinities and low water clarity, and secondarily at optimal temperatures of 15-25°C. This leads to the high likelihood of finding <italic>R. holubi</italic> in permanently open estuaries within its optimal temperature range. However, in some cases <italic>R. holubi </italic>larvae are able to tolerate more saline, more transparent and colder waters, resulting in a wide distribution and success as estuarine specialists. <xref ref-type="bibr" rid="CIT17">IPCC (2013</xref>, <xref ref-type="bibr" rid="CIT18">2014)</xref> has forecasted temperature increases of up to 3°C, along with winter rainfall decreases of 10-20% and summer rainfall increases of 0-10% in extreme scenarios for the southern-eastern coast of South Africa over the next century. From the results of this study, it would thus seem that species such as <italic>R. holubi</italic> may tolerate the predicted changes given their wide range of occurrence (<xref ref-type="bibr" rid="CIT13">Gillanders et al. 2011</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>). However, changing rainfall and evaporation rates could change mouth state regimes, potentially leading to changes in distributions and densities in this and similar species (<xref ref-type="bibr" rid="CIT13">Gillanders et al. 2011</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>, <xref ref-type="bibr" rid="CIT18">IPCC 2014</xref>). For example, it was found that environmental variability in estuaries may be more important than seasonality. As environmental changes occur, this may cause a disjoint in the timing of spawning and recruitment potential, thereby changing larval duration or distribution along the coast (<xref ref-type="bibr" rid="CIT13">Gillanders et al. 2011</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>). The reliance on freshwater flow with associated low salinities (mesohaline) and low water clarity (ETM zones) for supporting high densities of <italic>R. holubi</italic> larvae further supports the hypothesis that similar estuarine-dependent species elsewhere in the world may be at risk as freshwater is further extracted or if rainfall decreases and evaporation increases due to climate change. Examples include <italic>Acanthopagrus butcheri</italic> from Australia and <italic>Moore saxatilis</italic> and <italic>M. americana</italic> from America, which rely on freshwater flow for recruitment into estuarine nurseries (<xref ref-type="bibr" rid="CIT27">North and Houde 2003</xref>, <xref ref-type="bibr" rid="CIT20">Jenkins et al. 2010</xref>, <xref ref-type="bibr" rid="CIT23">Koehn et al. 2011</xref>). Moreover, food sources, i.e. plankton density, may also change with changing climate, thereby potentially impacting on estuarine-dependent fish populations in the future (<xref ref-type="bibr" rid="CIT16">Hays et al. 2005</xref>, <xref ref-type="bibr" rid="CIT19">Islam et al. 2006</xref>).</p>
			</sec>
			</body>
			<back>
<ack>
<title>ACKNOWLEDGEMENTS</title>
			
		  <p>This research was funded by the National Research Foundation (NRF) through various grants held by NA Strydom (79733, 74346 and 65766), and bursary support was provided by the South African Research Chairs Initiative (SARChI) of the Department of Science and Technology (DST). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and the NRF does not accept any liability in this regard.</p>
			
	</ack>
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