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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">sm4043</article-id>
			 <article-id pub-id-type="doi">10.3989/scimar.04043.28E</article-id>
			 
			
		<title-group>
			  <article-title>Amphipods from marine cave sediments of the southern Iberian Peninsula: diversity and ecological distribution</article-title>
		<trans-title-group xml:lang="es">
		<trans-title>Anfípodos en sedimentos de cuevas submarinas del Sur de la Península Ibérica: diversidad y distribución ecológica</trans-title>
		</trans-title-group>
		<alt-title alt-title-type="running-head">Ecology of soft-bottom amphipods</alt-title>
		</title-group>
		
		<contrib-group>
			  <contrib contrib-type="author" corresp="yes"> 
				<name>
				 <surname> Navarro-Barranco</surname>
				 <given-names>Carlos</given-names>
				</name>
				<xref ref-type="aff" rid="U1"/>
				<xref ref-type="corresp" rid="cor1"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Guerra-García</surname>
				 <given-names>José Manuel</given-names>
				</name>
				<xref ref-type="aff" rid="U1"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Sánchez-Tocino</surname>
				 <given-names>Luis </given-names>
				</name>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>García-Gómez</surname>
				 <given-names>José Carlos</given-names>
				</name>
				<xref ref-type="aff" rid="U1"/>
			  </contrib>
			  <aff id="U1">Laboratorio de Biología Marina, Dpto. Zoología, Facultad de Biología, Universidad de Sevilla. Avda Reina Mercedes 6, 41012 Sevilla, Spain.</aff>
			  <aff id="U2">Departamento de Biología Animal, Facultad de Ciencias, Universidad de Granada. Campus Universitario de Fuentenueva, s/n., 18071 Granada, Spain.</aff>
			 </contrib-group>
			 
			 <author-notes>
		<corresp id="cor1">e-mail: <email xlink:href="carlosnavarro@us.es">carlosnavarro@us.es</email>
		</corresp>
		</author-notes>
		
<pub-date pub-type="epub">
		<day>30</day>
		<month>09</month>
		<year>2014</year>
		</pub-date>
		<pub-date pub-type="collection">
		<year>2014</year>
		</pub-date>
		
		<volume>78</volume>
		<issue>3</issue>
		<fpage>415</fpage>
		<lpage>424</lpage>
		
		<elocation-id content-type="doi">10.3989/scimar.04043.28E</elocation-id>

		 <history>
		  	<date date-type="received">
				<day>25</day>
				<month>2</month>
				<year>2014</year>
			</date>
			<date date-type="accepted">
				<day>28</day>
				<month>5</month>
				<year>2014</year>
			</date>
			<date date-type="published">
				<day>28</day>
				<month>7</month>
				<year>2014</year>
			</date>
		 </history>
		 
		<permissions>
		<copyright-statement>&#x00A9; 2014 CSIC</copyright-statement>
		<copyright-year>2014</copyright-year>
		<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
		<license-p>This is an open-access article distributed under the Creative Commons Attribution-Non Commercial Lisence (by-nc) Spain 3.0.</license-p>
		</license>
		</permissions>
		
		<abstract xml:lang="en">
		<title>SUMMARY</title>
		<p>The present study explores the amphipod assemblages of six marine caves on the Mediterranean coast of southern Spain. Replicate samples were taken both inside and outside each marine cave in order to characterize the amphipod fauna and the physicochemical properties of the sediment. As a result, 44 amphipods species were identified. The high number of species found in a relatively limited area highlighted the richness of the Alboran Sea fauna, which is mainly due to the mixture of species from different biogeographic areas. <italic>Harpinia</italic> genus was the dominant amphipod taxa inside marine caves and <italic>Perioculodes longimanus</italic> was also very abundant in the caverns. On the other hand, external communities were dominated by <italic>Siphonoecetes sabatieri, Metaphoxus fultoni</italic> and <italic>Photis longipes</italic>. There was a high degree of variability in both the internal and the external stations. Only the external station situated at low-medium depth showed a relatively homogeneous amphipod assemblage. The structure and behaviour of soft-bottom communities inside marine caves is difficult to predict because their environmental conditions depend on a particular combination of factors such as topography, depth and orientation. Therefore, no constant patterns were observed for species richness, Shannon diversity and abundance of amphipods in marine caves in comparison with open habitats. According to canonical correspondence analysis, sediment granulometry, organic matter and nitrogen concentration were the parameters that best explained the distribution of amphipods. Species were also classified by their tolerance to environmental pollution according to criteria followed by the Azti Marine Biotic Index and the BENTIX index. The great abundance of sensitive species at both the internal and external stations indicates the good ecological quality of the soft bottom studied. However, the suitability of biotic indices in marine caves should be tested in future studies. </p>
		</abstract>
		<trans-abstract xml:lang="es">
		<title>RESUMEN</title>
		<p>En el presente trabajo se estudia la fauna de anfípodos presente en el sustrato blando de seis cuevas submarinas de la costa Mediterránea del sur de España. Con el objetivo de caracterizar tanto la comunidad biótica como las características físico-químicas del sedimento, se tomaron muestras de sedimento a la salida y en el interior de las cuevas submarinas. Como resultado, se identificaron un total de cuarenta y cuatro especies de anfípodos diferentes. Este elevado número de especies encontrado en un área relativamente limitada pone de manifiesto la riqueza faunística del Mar de Alborán, la cual se atribuye principalmente a la mezcla de especies de diferentes áreas biogeográficas. El género <italic>Harpinia</italic> fue el taxón dominante en el interior de las cuevas, junto con <italic>Perioculodes longimanus</italic>. Por otro lado, la comunidad en las zonas externas estaba dominada por <italic>Siphonoecetes sabatieri, Metaphoxus fultoni</italic> y <italic>Photis longipes</italic>. Se observó un alto grado de variabilidad tanto en las estaciones internas como externas. Solo las estaciones externas situadas a profundidades bajas-medias mostraron una fauna relativamente homogénea. La estructura y el comportamiento de las comunidades que habitan los sustratos blandos en el interior de cuevas submarinas es difícil de predecir, ya que las condiciones ambientales dependen de sus particulares características en cuanto a topografía, profundidad y orientación. Por ello, no ha podido extraerse ningún patrón constante de la comparación de comunidades internas y externas para el número de especies, diversidad de Shannon o abundancia de anfípodos. La granulometría y los porcentajes de materia orgánica y nitrógeno en el sedimento fueron los parámetros que mejor explicaban la distribución de los anfípodos, de acuerdo con los resultados del análisis CCA. Las especies también fueron clasificadas en base a su tolerancia a la polución ambiental, siguiendo los criterios establecidos por los índices AMBI y BENTIX. La gran abundancia de especies sensibles refleja el buen estado ecológico de los sedimentos estudiados. Sin embargo, la aplicabilidad de los índices bióticos en cuevas submarinas debería ser testada en futuros estudios.</p>
				<p class="summary"><strong>Palabras clave</strong>: cuevas submarinas; comunidades de sustrato blando; Amphipoda; ecología bentónica, mar Mediterráneo.</p>
		</trans-abstract>
		<kwd-group xml:lang="en">
			<title>KEYWORDS</title>
			<kwd>marine caves</kwd>
			<kwd>soft-bottom communities</kwd>
			<kwd>Amphipoda</kwd>
			<kwd>benthic ecology</kwd>
			<kwd>Mediterranean Sea</kwd>
		</kwd-group>
		<kwd-group xml:lang="es">
			<title>PALABRAS CLAVE</title>
			<kwd>cuevas submarinas</kwd>
			<kwd>comunidades de sustrato blando</kwd>
			<kwd>Amphipoda</kwd>
			<kwd>ecología bentónica</kwd>
			<kwd>mar Mediterráneo</kwd>
		</kwd-group>
	 </article-meta>
	</front>
	<body>
<sec id="S1">
<title>INTRODUCTION</title>
				<p>Marine caves support diverse and distinctive communities, often acting as biodiversity reservoirs for many marine groups (<xref ref-type="bibr" rid="CIT46">Riedl 1966</xref>, <xref ref-type="bibr" rid="CIT20">Gerovasileiou and Voutsiadou 2012</xref>). Because of the importance and peculiarity of these communities, marine caves are also an interesting environment to conduct biological studies. However, in the last few years there has been an increase in the evidence of impact by human activities on cave communities, including alterations by scuba diving activities, coastal pollution and global warming (<xref ref-type="bibr" rid="CIT09">Chevaldonné and Lejeusne 2003</xref>, <xref ref-type="bibr" rid="CIT18">Di Franco et al. 2010</xref>, <xref ref-type="bibr" rid="CIT41">Parravicini et al. 2010</xref>, <xref ref-type="bibr" rid="CIT23">Guarnieri et al. 2012</xref>). Owing to their high natural stability, these ecosystems show low resilience and a high vulnerability to disturbances (<xref ref-type="bibr" rid="CIT54">Vacelet et al. 1994</xref>), so they are considered as priority conservation areas according to Directive 92/43/EEC of the European Community and there is an urgent need to understand their biodiversity and organization. Though many ecological and taxonomical studies have been conducted in marine caves, their soft-bottom communities have often been overlooked. The sediment assemblages inhabiting marine caves often show a distinctive species composition and usually hold many new and endemic species (<xref ref-type="bibr" rid="CIT02">Bamber et al. 2008</xref>; <xref ref-type="bibr" rid="CIT30">Horton 2008</xref>). Within them, crustaceans (and mainly amphipods) are the dominant taxa in both abundance and number of individuals (<xref ref-type="bibr" rid="CIT38">Navarro-Barranco et al. 2012</xref>). </p>
				<p>In recent years, and especially since the establishment of the European Water Framework Directive (WFD), many biotic indices for evaluating the environmental quality of estuarine and coastal waters have been developed. To evaluate the suitability of these biotic indices it is necessary to test their effectiveness in different regions and environments, and against different types of impact (<xref ref-type="bibr" rid="CIT17">Diaz et al. 2004</xref>, <xref ref-type="bibr" rid="CIT05">Borja et al. 2009</xref>). They have not yet been tested in marine caves. </p>
				<p>Given the sensitivity of most amphipods to different kinds of pollution, their abundance, their ecological importance, their relatively low mobility and their close relation with the sediment, they are often considered as good ecological indicators (<xref ref-type="bibr" rid="CIT21">Gómez-Gesteira and Dauvin 2000</xref>, <xref ref-type="bibr" rid="CIT24">Guerra-García and García-Gómez 2001</xref>, <xref ref-type="bibr" rid="CIT15">de-la-Ossa-Carretero et al. 2011</xref>). They are therefore used by many indices (e.g. AMBI, BENTIX, MEDOCC and BOPA) to establish the environmental quality of coastal soft-bottom communities (<xref ref-type="bibr" rid="CIT04">Borja et al. 2000</xref>, <xref ref-type="bibr" rid="CIT50">Simboura and Zenetos 2002</xref>, <xref ref-type="bibr" rid="CIT43">Pinedo and Jordana 2007</xref>, <xref ref-type="bibr" rid="CIT13">Dauvin and Ruellet 2007</xref>). However, it is essential to know the environmental preferences and tolerances of each taxon, as discrepancies about the assignation of the same species to different ecological groups contribute to variations in the results obtained with each index (<xref ref-type="bibr" rid="CIT15">de-la-Ossa-Carretero et al. 2011</xref>, <xref ref-type="bibr" rid="CIT44">Pinedo et al. 2012</xref>). Marine caves are therefore suitable places to conduct these studies, since small-scale topographic variability within them generates sharp environmental gradients, allowing a great spatial heterogeneity of environmental conditions and benthic assemblages. </p>
				<p>Finally, the patterns in presence of taxa among different marine caves are also of great biogeographic interest. Marine caves are usually considered as islands supporting isolated populations. The existence of species with disjunct distributions in distant marine caves raises questions about how these species can keep their metapopulation dynamics. It has been suggested that a stepping stones model, with larvae moving passively from one cryptic habitat to another, was plausible for some cases (<xref ref-type="bibr" rid="CIT33">Manconi et al. 2006</xref>, <xref ref-type="bibr" rid="CIT34">2009</xref>). Recent discoveries highlight that these cave-exclusive species are often deep-water species that have denser populations in bathyal areas but are also able to colonize shallow cavernicolous habitats (<xref ref-type="bibr" rid="CIT01">Bakran-Petricioli et al. 2007</xref>). All these aspects have often been investigated in taxa with free-swimming larvae such as sponges and bryozoans (<xref ref-type="bibr" rid="CIT54">Vacelet et al. 1994</xref>, <xref ref-type="bibr" rid="CIT29">Harmelin 1997</xref>). Organisms with a direct development and relatively low dispersion capabilities, such as amphipods, can be expected to show different patterns. All previous studies of peracarid crustaceans of marine caves correspond to taxonomic studies focusing on single marine caves. Therefore, the ability of amphipods to colonize these habitats and the extent to which marine caves are isolated habitats for these organisms with low mobility have not been tested yet.</p>
				<p>The main objective of this article is to study the whole soft-bottom amphipod community from submarines caves of southern Spain in order to characterize their unexplored diversity, their distributional patterns and their environmental requirements. </p>
			</sec>
<sec id="S2">
<title>MATERIALS AND METHODS</title>
<sec id="S2.1">
<title>Study site and sampling collection</title>
		<p>Our study locations were situated along the coast of Granada (Mediterranean coast of southern Spain). This area is characterized by the abundance of cliffs composed of carbonate rocks, which allow the presence of many marine caves. Six caves were studied: Cueva de Calahonda (36°42’46”N, 3°22’18”W), Cueva de la Punta del Vapor (36°43’22”N, 3°42’35”W), Raja de la Mona (36°43’10”N, 3°44’6”W), Cueva de los Treinta Metros (36°43’12”N, 3°44’9”W), Cueva de Cantarriján (36°44’16”N, 3°46’41”W) and Cueva de las Gorgonias (36°44’17”N, 46°46’42”W) (see also <xref ref-type="bibr" rid="CIT39">Navarro-Barranco et al. 2013</xref>). All of them show a similar topographic profile, with a single submerged entrance followed by a rectilinear blind-ending tunnel. These locations comprise a wide range of depth (from 6 to 32 m deep) and a heterogeneous granulometry (from coarse sand to predominantly muddy sediments). </p>
				<p>During July and August 2011, two stations were established and sampled at each location, one inside the cave and one in the exterior area (each one approximately 10 m from the cave entrance). Seven replicate samples were taken at each station using a hand-held rectangular core of 0.025 m<sup>2</sup> to a depth of 10 cm by SCUBA diving. Three of these samples were immediately frozen for physicochemical characterization of each station. Granulometric parameters were determined following the methodology proposed by <xref ref-type="bibr" rid="CIT28">Guitián and Carballas (1976)</xref>. Organic matter and major, minor and trace element concentrations in sediments were determined following the methodology presented in <xref ref-type="bibr" rid="CIT38">Navarro-Barranco et al. (2012)</xref>. Four replicate samples were used for the biological study of the soft-bottom community. Samples were sieved through a 0.5-mm mesh sieve and preserved in 70% ethanol stained with Rose Bengal. In the laboratory, all amphipod species were sorted, counted and identified to species level when possible using binocular microscopes. </p>
			</sec>
<sec id="S2.2">
<title>Data analysis</title>
				<p>Mean values ± standard deviation (SD) of number of species, total abundance, Shannon-Wiener diversity index (<xref ref-type="bibr" rid="CIT49">Shannon-Weaver 1963</xref>) and abundance of each amphipod species were calculated for each station. Differences between external and internal stations for these indices were tested using an analysis of variance (ANOVA) with two factors: Position (Po) and Site (Si). Po was a fixed factor with two levels (internal and external stations). Si was a fixed factor, orthogonal with Po, with six levels (each marine cave). Four samples were considered in each position (n=4). Prior to analysis, homogeneity of variances was checked using Cochran’s test and transformations were applied when necessary (<xref ref-type="bibr" rid="CIT52">Underwood 1997</xref>). A preliminary correlation analysis was done to determine which chemical variables were highly correlated with each other (p&lt;0.05) and these were eliminated from later analyses to reduce the number of variables considered. Correlation analyses were also done to evaluate the relationship between environmental (depth, granulometry and chemical data) and biological variables (abundance, species richness and Shannon diversity). A permutational analysis of multivariate dispersions (PERMDISP) was carried out to test differences in the variation of the amphipod community between internal and external habitats. Finally, the relationships between environmental variables and the amphipod species were explored by a canonical correspondence analysis (CCA). The species with very low abundances (those with five or fewer individuals) were not included in the analysis.</p>
				<p>Univariate analyses were performed using the GMAV5 program (<xref ref-type="bibr" rid="CIT53">Underwood et al. 2002</xref>) for ANOVA and the SPSS.15 program for the correlations. CCA was carried out using the PC-ORD program (<xref ref-type="bibr" rid="CIT35">McCune and Mefford 1997</xref>), and the PRIMER v.6 + PERMANOVA package (<xref ref-type="bibr" rid="CIT10">Clarke and Gorley 2001</xref>) was used for PERMDISP.</p>
				<p>Species were classified in ecological groups in function of their sensitivity to contamination, following the criteria of the Azti Marine Biotic Index (AMBI) and the BENTIX index and classification lists (<xref ref-type="bibr" rid="CIT04">Borja et al. 2000</xref>, <xref ref-type="bibr" rid="CIT50">Simboura and Zenetos, 2002</xref>). Both indices are among the most widely used and require classification to species level. AMBI is the most applied index and classifies the amphipods into three groups: sensitive, indifferent and tolerant species. On the other hand, BENTIX is a biotic index specifically designed for the Mediterranean Sea and only discriminates between sensitive and tolerant species, including the indifferent species (those always present in low densities and with no significant variations in time) in the sensitive group. The percentage of species belonging to each group was calculated for internal and external stations. </p>
				<p>Species were also assigned to different biogeographic regions on the basis of information and classifications in <xref ref-type="bibr" rid="CIT47">Ruffo (1982-1998)</xref>, <xref ref-type="bibr" rid="CIT11">Conradi and López-González (1999)</xref>, <xref ref-type="bibr" rid="CIT26">Guerra-García et al. (2009)</xref> and the World Register of Marine Species (WoRMS) (<ext-link ext-link-type="uri" xlink:href="http://www.marinespecies.org">www.marinespecies.org</ext-link>). The following groups were established:</p>
			  <blockquote>
				  <p> Mediterranean endemic<br />
				    Mediterranean and Atlantic Ocean<br />
				    Mediterranean, Atlantic and Indo-Pacific Ocean<br />
				    Mediterranean, Atlantic and Arctic Ocean <br />
			    Cosmopolitan</p>
	    </blockquote>
	</sec></sec>
<sec id="S3">
<title>RESULTS</title>
				<p>Forty-four different species were found in the whole study, belonging to 36 genera and 21 families (<xref ref-type="fig" rid="F1">Fig. 1</xref>). At the external stations, amphipod assemblages were greatly dominated by <italic>Siphonoecetes sabatieri</italic> de Rouville, 1894, which comprised 68% of all individuals. The second most dominant species, <italic>Metaphoxus fultoni</italic> (Scott, 1890), showed much lower abundances, with 5% of the individuals. Inside the caves, the community was dominated by the genus <italic>Harpinia</italic>. Four of the seven most abundant species belongs to this genus: <italic>H. pectinata</italic> Sars, 1891, <italic>H. crenulata</italic> (Boeck, 1871), <italic>H. antennaria</italic> Meinert, 1890 and <italic>H. ala</italic> Karaman, 1987, in order of importance. <italic>Perioculodes longimanus</italic> (Bate and Westwood, 1868), with 20% of the individuals, was also very abundant at the internal stations.</p>
							<fig id="F1">
				<label>Fig. 1</label>
				<caption>
				<title>Mean abundance (ind/m<sup>2</sup>) of the amphipod species at each sampling station.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig1_fmt.png"/>
			</fig>

<p>According to univariate analyses, there were significant differences between external and internal stations in abundance, species richness and diversity (<xref ref-type="fig" rid="F2">Fig. 2</xref>, <xref ref-type="table" rid="T1">Table 1</xref>). Although external stations often showed higher values in these parameters, no constant pattern was observed and ANOVA also determined that the factor Site and the interaction between the two factors (Po × Si) were significant (<xref ref-type="table" rid="T1">Table 1</xref>). However, the differences between positions were not significant for all the stations, and at some of them we found the opposite pattern, with higher values at the internal stations.</p>
			<fig id="F1">
				<label>Fig. 1</label>
				<caption>
				<title>Mean values ± SD of abundance of individuals, number of species and Shannon-Wiener diversity index for each sampling station. Significance of differences between positions is also represented. **, p&lt;0.01; n.s., non significant.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig2_fmt.jpeg"/>
			</fig>

	<table-wrap id="T1">
			<label>Table 1</label>
		<caption>
			<title>Results of the two-factor ANOVA for abundance of individuals, species richness and Shannon-Wiener diversity. No transformations were necessary for diversity and abundance values. Species richness data were Ln(x) transformed; df, degrees of freedom; MS, mean square; p, level of significance; **, p&lt;0.01; ***, p&lt;0.001.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
      <tr>
        <th></th>
        <th></th>
        <th colspan="3"> Abundance </th>
        <th colspan="3"> Species richness </th>
        <th colspan="3"> Shannon diversity </th>
      </tr>
      <tr>
        <th> Source of variation </th>
        <th> df </th>
        <th> MS </th>
        <th> F </th>
        <th> p </th>
        <th> MS </th>
        <th> F </th>
        <th> p </th>
        <th> MS </th>
        <th> F </th>
        <th> p </th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td> Position = Po </td>
        <td> 1 </td>
        <td> 223996.7 </td>
        <td> 71.71 </td>
        <td> 0.000*** </td>
        <td> 4.83 </td>
        <td> 47.71 </td>
        <td> 0.000*** </td>
        <td> 1.53 </td>
        <td> 10.25 </td>
        <td> 0.003** </td>
      </tr>
      <tr>
        <td> Site = Si </td>
        <td> 5 </td>
        <td> 8468.4 </td>
        <td> 27.11 </td>
        <td> 0.000*** </td>
        <td> 0.71 </td>
        <td> 6.98 </td>
        <td> 0.000*** </td>
        <td> 1.07 </td>
        <td> 7.19 </td>
        <td> 0.000*** </td>
      </tr>
      <tr>
        <td> Po × Si </td>
        <td> 5 </td>
        <td> 125268.1 </td>
        <td> 40.10 </td>
        <td> 0.000*** </td>
        <td> 0.51 </td>
        <td> 4.98 </td>
        <td> 0.001** </td>
        <td> 1.27 </td>
        <td> 8.50 </td>
        <td> 0.000*** </td>
      </tr>
      <tr>
        <td> Residual </td>
        <td> 36 </td>
        <td> 3123.7 </td>
        <td></td>
        <td></td>
        <td> 0.10 </td>
        <td></td>
        <td></td>
        <td> 0.15 </td>
        <td></td>
        <td></td>
      </tr>
    </tbody>
  </table>
</table-wrap>
				<p>The results of physicochemical variables are summarized in <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F3">Figure 3</xref>. Correlation analyses conducted with chemical analysis helped to reduce the number of variables from 23 to 7: organic matter, P, N, Cu, Pb, S and Cr. Pb had a significant correlation (p&lt;0.01) with As, Li and Zn. S was correlated (p&lt;0.01) with B, Ca, Cd, Na and Sr, while Cr showed a strong correlation (p&lt;0.01) with Al, N, Ba, Co, Fe, K, Mn, Ni, V and Zn. There were no significant correlations among the environmental variables and the abundance, species richness and diversity values.</p>
					<table-wrap id="T2">
			<label>Table 2</label>
		<caption>
			<title>Depth and mean values obtained for sediment variables at each sampling station. OM, organic matter. Depth was measured in meters, OM and N in percentage and the rest of elements in mg/kg.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
				      <tr>
				        <th></th>
				        <th></th>
				        <th> Depth(m) </th>
				        <th> OM(%) </th>
				        <th> N(%) </th>
				        <th> Al </th>
				        <th> As </th>
				        <th> B </th>
				        <th> Ba </th>
				        <th> Ca </th>
				        <th> Cd </th>
				        <th> Co </th>
				        <th> Cr </th>
				        <th> Cu </th>
				        <th> Fe </th>
			          </tr>
			        </thead>
				    <tbody>
				      <tr>
				        <td rowspan="2"> Gorgonias </td>
				        <td> Internal </td>
				        <td> 6 </td>
				        <td> 0.84 </td>
				        <td> 0.04 </td>
				        <td> 18182.04 </td>
				        <td> 5.48 </td>
				        <td> 12.34 </td>
				        <td> 71.09 </td>
				        <td> 82963.75 </td>
				        <td> 0.10 </td>
				        <td> 8.37 </td>
				        <td> 24.48 </td>
				        <td> 12.15 </td>
				        <td> 18508.70 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 6 </td>
				        <td> 0.23 </td>
				        <td> 0.01 </td>
				        <td> 16669.01 </td>
				        <td> 4.58 </td>
				        <td> 3.93 </td>
				        <td> 61.91 </td>
				        <td> 49322.88 </td>
				        <td> 0.04 </td>
				        <td> 8.36 </td>
				        <td> 23.74 </td>
				        <td> 9.73 </td>
				        <td> 19074.20 </td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Cantarriján </td>
				        <td> Internal </td>
				        <td> 8 </td>
				        <td> 0.74 </td>
				        <td> 0.02 </td>
				        <td> 18055.49 </td>
				        <td> 4.93 </td>
				        <td> 7.26 </td>
				        <td> 66.72 </td>
				        <td> 58619.00 </td>
				        <td> 0.17 </td>
				        <td> 8.64 </td>
				        <td> 24.94 </td>
				        <td> 12.31 </td>
				        <td> 19826.50 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 8 </td>
				        <td> 0.18 </td>
				        <td> 0.01 </td>
				        <td> 13712.99 </td>
				        <td> 4.72 </td>
				        <td> 3.06 </td>
				        <td> 42.09 </td>
				        <td> 47420.27 </td>
				        <td> 0.05 </td>
				        <td> 8.54 </td>
				        <td> 21.88 </td>
				        <td> 11.37 </td>
				        <td> 19404.90 </td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Pta. Vapor </td>
				        <td> Internal </td>
				        <td> 12 </td>
				        <td> 0.76 </td>
				        <td> 0.05 </td>
				        <td> 24960.49 </td>
				        <td> 7.26 </td>
				        <td> 13.85 </td>
				        <td> 150.46 </td>
				        <td> 79923.38 </td>
				        <td> 0.06 </td>
				        <td> 13.66 </td>
				        <td> 43.98 </td>
				        <td> 15.39 </td>
				        <td> 29750.81 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 12 </td>
				        <td> 0.44 </td>
				        <td> 0.02 </td>
				        <td> 26043.12 </td>
				        <td> 5.65 </td>
				        <td> 7.11 </td>
				        <td> 172.97 </td>
				        <td> 53089.43 </td>
				        <td> 0.04 </td>
				        <td> 14.41 </td>
				        <td> 49.91 </td>
				        <td> 11.68 </td>
				        <td> 32208.23 </td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Calahonda </td>
				        <td> Internal </td>
				        <td> 19 </td>
				        <td> 0.98 </td>
				        <td> 0.07 </td>
				        <td> 17663.12 </td>
				        <td> 7.39 </td>
				        <td> 10.77 </td>
				        <td> 41.82 </td>
				        <td> 60199.82 </td>
				        <td> 0.10 </td>
				        <td> 10.47 </td>
				        <td> 21.55 </td>
				        <td> 17.42 </td>
				        <td> 25212.95 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 19 </td>
				        <td> 0.40 </td>
				        <td> 0.03 </td>
				        <td> 6591.39 </td>
				        <td> 7.18 </td>
				        <td> 8.23 </td>
				        <td> 10.82 </td>
				        <td> 81739.77 </td>
				        <td> 0.11 </td>
				        <td> 7.00 </td>
				        <td> 9.73 </td>
				        <td> 7.86 </td>
				        <td> 17163.00 </td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Treinta Metros </td>
				        <td> Internal </td>
				        <td> 30 </td>
				        <td> 1.86 </td>
				        <td> 0.12 </td>
				        <td> 25053.40 </td>
				        <td> 7.88 </td>
				        <td> 21.50 </td>
				        <td> 91.95 </td>
				        <td> 71626.79 </td>
				        <td> 0.14 </td>
				        <td> 11.27 </td>
				        <td> 35.18 </td>
				        <td> 19.02 </td>
				        <td> 25701.81 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 30 </td>
				        <td> 1.95 </td>
				        <td> 0.17 </td>
				        <td> 25902.39 </td>
				        <td> 7.28 </td>
				        <td> 17.17 </td>
				        <td> 61.46 </td>
				        <td> 67604.02 </td>
				        <td> 0.24 </td>
				        <td> 10.38 </td>
				        <td> 28.37 </td>
				        <td> 10.10 </td>
				        <td> 4456.48 </td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Raja Mona </td>
				        <td> Internal </td>
				        <td> 32 </td>
				        <td> 0.79 </td>
				        <td> 0.08 </td>
				        <td> 3822.23 </td>
				        <td> 3.34 </td>
				        <td> 41.35 </td>
				        <td> 24.42 </td>
				        <td> 289776.85 </td>
				        <td> 0.23 </td>
				        <td> 1.77 </td>
				        <td> 6.12 </td>
				        <td> 9.81 </td>
				        <td> 4139.20 </td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 32 </td>
				        <td> 0.56 </td>
				        <td> 0.04 </td>
				        <td> 2834.40 </td>
				        <td> 3.41 </td>
				        <td> 43.64 </td>
				        <td> 22.33 </td>
				        <td> 303190.25 </td>
				        <td> 0.23 </td>
				        <td> 1.17 </td>
				        <td> 4.76 </td>
				        <td> 2.75 </td>
				        <td> 3374.96 </td>
			          </tr>
				      <tr>
				        <th></th>
				        <th></th>
				        <th> Depth(m) </th>
				        <th> K </th>
				        <th> Li </th>
				        <th> Mn </th>
				        <th> Na </th>
				        <th> Ni </th>
				        <th> P </th>
				        <th> Pb </th>
				        <th> S </th>
				        <th> Sr </th>
				        <th> V </th>
				        <th> Zn </th>
				        <th></th>
			          </tr>
				      <tr>
				        <td rowspan="2"> Gorgonias </td>
				        <td> Internal </td>
				        <td> 6 </td>
				        <td> 5975.69 </td>
				        <td> 19.93 </td>
				        <td> 249.14 </td>
				        <td> 6003.37 </td>
				        <td> 17.02 </td>
				        <td> 448.49 </td>
				        <td> 9.27 </td>
				        <td> 1400.19 </td>
				        <td> 513.62 </td>
				        <td> 41.06 </td>
				        <td> 41.39 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 6 </td>
				        <td> 4526.50 </td>
				        <td> 18.02 </td>
				        <td> 253.69 </td>
				        <td> 3144.54 </td>
				        <td> 15.64 </td>
				        <td> 281.04 </td>
				        <td> 8.39 </td>
				        <td> 420.12 </td>
				        <td> 165.68 </td>
				        <td> 39.23 </td>
				        <td> 32.40 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Cantarriján </td>
				        <td> Internal </td>
				        <td> 8 </td>
				        <td> 5336.79 </td>
				        <td> 18.73 </td>
				        <td> 261.27 </td>
				        <td> 4728.77 </td>
				        <td> 16.78 </td>
				        <td> 363.08 </td>
				        <td> 8.77 </td>
				        <td> 837.93 </td>
				        <td> 244.49 </td>
				        <td> 42.18 </td>
				        <td> 38.26 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 8 </td>
				        <td> 3385.46 </td>
				        <td> 15.73 </td>
				        <td> 236.45 </td>
				        <td> 2914.77 </td>
				        <td> 17.42 </td>
				        <td> 283.52 </td>
				        <td> 9.63 </td>
				        <td> 347.02 </td>
				        <td> 141.56 </td>
				        <td> 35.92 </td>
				        <td> 37.02 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Pta. Vapor </td>
				        <td> Internal </td>
				        <td> 12 </td>
				        <td> 9896.94 </td>
				        <td> 21.78 </td>
				        <td> 426.01 </td>
				        <td> 4819.90 </td>
				        <td> 27.59 </td>
				        <td> 639.36 </td>
				        <td> 11.94 </td>
				        <td> 1582.53 </td>
				        <td> 611.31 </td>
				        <td> 65.18 </td>
				        <td> 90.92 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 12 </td>
				        <td> 10845.45 </td>
				        <td> 20.76 </td>
				        <td> 406.45 </td>
				        <td> 3609.38 </td>
				        <td> 27.63 </td>
				        <td> 408.11 </td>
				        <td> 7.81 </td>
				        <td> 818.66 </td>
				        <td> 427.42 </td>
				        <td> 70.55 </td>
				        <td> 65.29 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Calahonda </td>
				        <td> Internal </td>
				        <td> 19 </td>
				        <td> 3759.01 </td>
				        <td> 33.44 </td>
				        <td> 263.56 </td>
				        <td> 5443.29 </td>
				        <td> 24.09 </td>
				        <td> 778.70 </td>
				        <td> 16.36 </td>
				        <td> 1140.75 </td>
				        <td> 342.73 </td>
				        <td> 38.75 </td>
				        <td> 75.40 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 19 </td>
				        <td> 1401.77 </td>
				        <td> 16.13 </td>
				        <td> 200.43 </td>
				        <td> 4755.77 </td>
				        <td> 17.19 </td>
				        <td> 506.33 </td>
				        <td> 9.05 </td>
				        <td> 999.94 </td>
				        <td> 579.19 </td>
				        <td> 22.38 </td>
				        <td> 44.03 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Treinta Metros </td>
				        <td> Internal </td>
				        <td> 30 </td>
				        <td> 7746.73 </td>
				        <td> 30.80 </td>
				        <td> 279.39 </td>
				        <td> 7011.72 </td>
				        <td> 27.02 </td>
				        <td> 786.90 </td>
				        <td> 18.56 </td>
				        <td> 2049.61 </td>
				        <td> 523.70 </td>
				        <td> 54.44 </td>
				        <td> 79.19 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 30 </td>
				        <td> 5867.30 </td>
				        <td> 20.12 </td>
				        <td> 205.02 </td>
				        <td> 8306.28 </td>
				        <td> 20.00 </td>
				        <td> 579.36 </td>
				        <td> 15.38 </td>
				        <td> 3294.29 </td>
				        <td> 865.00 </td>
				        <td> 54.13 </td>
				        <td> 65.21 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td rowspan="2"> Raja Mona </td>
				        <td> Internal </td>
				        <td> 32 </td>
				        <td> 2047.58 </td>
				        <td> 5.46 </td>
				        <td> 105.88 </td>
				        <td> 6642.80 </td>
				        <td> 5.32 </td>
				        <td> 545.62 </td>
				        <td> 7.97 </td>
				        <td> 4071.12 </td>
				        <td> 3248.41 </td>
				        <td> 10.48 </td>
				        <td> 25.53 </td>
				        <td></td>
			          </tr>
				      <tr>
				        <td> External </td>
				        <td> 32 </td>
				        <td> 1779.27 </td>
				        <td> 4.24 </td>
				        <td> 102.48 </td>
				        <td> 8241.84 </td>
				        <td> 4.23 </td>
				        <td> 570.48 </td>
				        <td> 8.39 </td>
				        <td> 3895.80 </td>
				        <td> 3774.16 </td>
				        <td> 8.36 </td>
				        <td> 24.32 </td>
				        <td></td>
			          </tr>
			        </tbody>
			      </table>
	    </table-wrap>
					<fig id="F3">
				<label>Fig. 3</label>
				<caption>
				<title>Percentage of the different granulometric fractions at each sampling station.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig3_fmt.png"/>
			</fig>
        <p>According to CCA results (<xref ref-type="fig" rid="F4">Fig. 4</xref>, <xref ref-type="table" rid="T3">Table 3</xref>), 59.4% of the total variation can be explained by measured environmental variables. The eigenvalues obtained for the three axes are fairly high, implying that these axes represent a strong gradient. All the environmental variables used in the analysis correlated significantly with at least one of the three axes. Axis 1 explained 21.1% of the species variance and was strongly correlated with the percentage of silt and clay, organic matter and nitrogen. The second axis, mainly associated negatively with the percentage of coarse sand and the concentration of sulfur, explained 19.5% of the species variance. The majority of stations, and hence also the species, are fairly separated in the graph (<xref ref-type="table" rid="T4">Fig. 4</xref>). Only the stations of Gorgonias, Cantarrijan, Punta del Vapor and Calahonda were closer in the graph, while the other two external stations (the deepest ones) were fairly separated. There was no clear separation between internal and external stations. PERMDISP analysis showed no significant differences in the variability between external and internal stations (F=0.32; p=0.61). CCA also showed the existence of some groups of species with a very similar relation to the environmental variables. One of them enclosed the species associated with the shallow and medium-depth external stations, including <italic>Siphonoecetes sabatieri, Bathyporeia guilliamsoniana</italic> (Bate, 1857), <italic>Pariambus tipicus</italic> (Krøyer, 1884) and <italic>Metaphoxus fultoni</italic>. On the other hand, the external station of Raja de la Mona showed a very characteristic community, with many species, such as <italic>Jassa</italic> sp. and <italic>Leptocheirus hirsutimanus</italic> (Bate, 1862), only present at this station. Besides being the deepest station, the peculiarity of this sampling point is due to the high percentage of coarse sand and gravels. The rest of the species were dispersed in the graph. Species of the <italic>Harpinia</italic> genus were always closely associated with internal stations but separated between those with higher abundances in muddy sediments (<italic>Harpinia antennaria</italic> or <italic>Harpinia crenulata</italic>) and those present in coarse sands (<italic>Harpinia ala</italic> and <italic>Harpinia</italic> sp.). </p>
					<fig id="F4">
				<label>Fig. 4</label>
				<caption>
				<title>Graphic representation of the stations, species and environmental variables with respect to the first two axes of the canonical correspondence analysis (CCA). SC (silt and clay), CS (coarse sand), OM (organic matter), Dp (depth), <italic>As</italic> (<italic>Ampelisca</italic> sp.), <italic>Bs</italic> (<italic>Bathyporeia</italic> sp.), <italic>Bg</italic> (<italic>Bathyporeia guilliamsoniana</italic>), <italic>Dg</italic> (<italic>Deflexilodes griseus</italic>), <italic>Gf</italic> (<italic>Gammarella fucicola</italic>), <italic>Ha</italic> (<italic>Harpinia antennaria</italic>), <italic>Hc</italic> (<italic>Harpinia crenulata</italic>), <italic>Hp</italic> (<italic>Hippomedon massiliensis</italic>), <italic>Hl</italic> (<italic>Harpinia ala</italic>), <italic>Hs</italic> (<italic>Harpinia</italic> sp.), <italic>Js</italic> (<italic>Jassa</italic> sp.), <italic>Lb</italic> (<italic>Lembos</italic> sp.), <italic>Lh</italic> (<italic>Leptocheirus hirsutimanus</italic>), <italic>Lp</italic> (<italic>Leptocheirus pectinatus</italic>), <italic>Ls</italic> (<italic>Leucothoe</italic> sp.), <italic>Ma</italic> (<italic>Microdeutopus algicola</italic>), <italic>Mf</italic> (<italic>Metaphoxus fultoni</italic>), <italic>Mm</italic> (<italic>Megaluropus monasteriensis</italic>), <italic>Ms</italic> (cf. <italic>Melita</italic> sp.), <italic>Pa </italic>(<italic>Pontocrates arenarius</italic>), <italic>Ph</italic> (<italic>Photis longipes</italic>), <italic>Pk</italic>, (<italic>Pseudolirius kroyeri</italic>), <italic>Pl</italic> (<italic>Perioculodes longimanus</italic>), <italic>Pm</italic> (<italic>Phtisica marina</italic>), <italic>Pt</italic> (<italic>Pariambus tipicus</italic>), <italic>Ss</italic> (<italic>Siphonoecetes sabatieri</italic>), <italic>Ue</italic> (<italic>Urothoe elegans</italic>).</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig4_fmt.png"/>
			</fig>

	<table-wrap id="T3">
			<label>Table 3</label>
		<caption>
			<title>Summary of the results of the CCA analysis. Only the variables that correlated with the first three axes were included. *, p&lt;0.05; **, p&lt;0.01; ***, p&lt;0.001.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
              <tr>
                <th></th>
                <th> Axis 1 </th>
                <th> Axis 2 </th>
                <th> Axis 3 </th>
              </tr>
             </thead>
            <tbody>
             <tr>
                <td> Eigenvalue </td>
                <td> 0.88 </td>
                <td> 0.81 </td>
                <td> 0.78 </td>
              </tr>
              <tr>
                <td> Species-environment correlation </td>
                <td> 1 </td>
                <td> 1 </td>
                <td> 1 </td>
              </tr>
              <tr>
                <td> Percentage of species variance </td>
                <td> 21.1 </td>
                <td> 19.5 </td>
                <td> 18.8 </td>
              </tr>
              <tr>
                <th colspan="4"> Correlation with environmental variables </th>
              </tr>
              <tr>
                <td> OM (organic matter) (%) </td>
                <td> 0.90*** </td>
                <td> - </td>
                <td> –0.61* </td>
              </tr>
              <tr>
                <td> N (%) </td>
                <td> 0.87*** </td>
                <td> - </td>
                <td> –0.60* </td>
              </tr>
              <tr>
                <td> Cr (mg/kg) </td>
                <td> - </td>
                <td> - </td>
                <td> –0.55* </td>
              </tr>
              <tr>
                <td> Cu (mg/kg) </td>
                <td> 0.56* </td>
                <td> 0.65* </td>
                <td> –0.59* </td>
              </tr>
              <tr>
                <td> P (mg/kg) </td>
                <td> 0.80** </td>
                <td> - </td>
                <td> - </td>
              </tr>
              <tr>
                <td> Pb (mg/kg) </td>
                <td> 0.85** </td>
                <td> - </td>
                <td> –0.76** </td>
              </tr>
              <tr>
                <td> S (mg/kg) </td>
                <td> - </td>
                <td> –0.73** </td>
                <td> - </td>
              </tr>
              <tr>
                <td> CS (coarse sand) (%) </td>
                <td> - </td>
                <td> –0.82*** </td>
                <td> - </td>
              </tr>
              <tr>
                <td> SC (silt and clay) (%) </td>
                <td> 0.82*** </td>
                <td> - </td>
                <td> –0.63* </td>
              </tr>
              <tr>
                <td> Depth (m) </td>
                <td> –0.61* </td>
                <td> –0.60* </td>
                <td> - </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Species in the Atlantic-Mediterranean group were the majority (61.8%), followed by the Mediterranean endemic group (20.6%) (<xref ref-type="fig" rid="F5">Fig. 5</xref>). The percentage of species belonging to each ecological group showed no great variations between stations, being clearly dominated by sensitive species at both external and internal stations (<xref ref-type="fig" rid="F6">Fig. 6</xref>). The use of either the AMBI or the BENTIX biotic index does not seem to have a great influence on the results, since in both cases sensitive species were also dominant. However, though BENTIX includes the indifferent species as sensitive, the percentage of tolerant species was higher with this index.</p>
					<fig id="F5">
				<label>Fig. 5</label>
				<caption>
				<title>Percentage of recorded taxa belonging to the following groups of geographical distribution. I, Mediterranean endemic; II, Mediterranean and Atlantic Ocean; III, Mediterranean, Atlantic and Indo-Pacific Ocean; IV, Mediterranean, Atlantic and Artic Ocean; V, Cosmopolitan.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig5_fmt.png"/>
			</fig>

			<fig id="F6">
				<label>Fig. 6</label>
				<caption>
				<title>Percentage of species belonging to ecological groups in function of their tolerance to environmental pollution.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n3-4043-web-images/sm4043fig6_fmt.png"/>
			</fig>

       </sec>
<sec id="S4">
<title>DISCUSSION</title>
<sec id="S4.1">
<title>Internal vs external stations</title>
				<p>Traditionally, the diversity impoverishment of cave faunas has been a widely accepted pattern. This fact was explained by the reduced trophic supply inside submarine caves (<xref ref-type="bibr" rid="CIT55">Zabala et al. 1989</xref>, <xref ref-type="bibr" rid="CIT19">Fichez 1990</xref>). However, in recent years quantitative studies conducted simultaneously in different caves have highlighted the difficulty of finding general and consistent patterns in marine cave communities (<xref ref-type="bibr" rid="CIT06">Bussotti et al. 2006</xref>, <xref ref-type="bibr" rid="CIT39">Navarro-Barranco et al. 2013</xref>). In the present study, mean values of abundance, species richness and Shannon diversity were higher at external stations. However, although this trend has been observed in most studies of marine caves, it cannot be considered as a constant pattern. The finer sediments inside caves are often more stable and show a higher concentration of organic matter, often allowing the existence of complex and rich soft-bottom communities. For example, internal stations of the Cantarrijan cave showed abundances of amphipods more than ten times higher than external stations because of an unusually high density of <italic>Harpinia pectinata</italic>. We found another exception to the general pattern in Punta del Vapor, where samples showed lower diversity values at external stations, mainly because of the overwhelming numerical dominance of <italic>Siphonoecetes sabatieri</italic>. This lack of general patterns is not surprising. Despite their apparent environmental homogeneity, marine caves often show high variability because many complex mechanisms, both physical and biological, structure the soft-bottom communities (e.g. <xref ref-type="bibr" rid="CIT37">Morrisey et al. 1992</xref>, <xref ref-type="bibr" rid="CIT51">Snelgrove 1998</xref>, <xref ref-type="bibr" rid="CIT40">Norén and Lindegarth 2005</xref>). Moreover, each marine cave has particular environmental conditions determined by features such as its topography, depth and orientation. As a result, the behaviour of the soft-bottom communities inside marine caves is difficult to predict. </p>
				<p>Most of the species found inside the caves were also present at external stations. Among the species only found at external stations, some of them seemed to show a special avoidance of cave habitats. <italic>Siphonoecetes sabatieri, Urothoe elegans</italic> (Bate, 1857) and <italic>Pontocrates arenarius</italic> (Bate, 1858) are some of the species with a wider distribution in the study, being present in most of the sampling areas but with no single individual inside the caves. On the other hand, some species, such as <italic>Microdeutopus algicola</italic> Della Valle, 1893, <italic>Liljeborgia</italic> sp. and <italic>Gammarella fucicola </italic>(Leach, 1814), were only present at internal stations. Anyway, none of the species found in the present study are cave-exclusive, having all been previously cited in open habitats (<xref ref-type="bibr" rid="CIT47">Ruffo 1982-1998</xref>). This is a common feature in marine cave fauna, since most of the species only use the caverns for shelter and can also be found outside the caves in similar habitats (<xref ref-type="bibr" rid="CIT48">Scipione et al. 1981</xref>, <xref ref-type="bibr" rid="CIT20">Gerovasileiou and Voultsiadou 2012</xref>). The genus <italic>Harpinia</italic>, for example, was found predominantly inside marine caves, but was also present at some external stations, thus facilitating intercommunication among cave assemblages. Therefore, amphipod cave communities are not as isolated as could be expected, and the stepping stones model can probably be used to understand their population dynamics.</p>
			</sec>
<sec id="S4.2">
<title>	Biogeographical considerations</title>
				<p>It was difficult to compare the diversity results obtained in the present study with those found in shallow soft-bottoms habitats of other localities of the Iberian Peninsula, since there is a great variation among studies in the sampling methodology (number of samples, degree of spatial and temporal replication, etc). Studies carried out in the Atlantic zone of the Iberian Peninsula found between 34 and 79 different amphipod species in the northwestern area (<xref ref-type="bibr" rid="CIT12">Cunha et al. 1999</xref>, <xref ref-type="bibr" rid="CIT32">Lourido et al. 2008</xref>, <xref ref-type="bibr" rid="CIT36">Moreira et al. 2008</xref>, <xref ref-type="bibr" rid="CIT07">Cacabelos et al. 2010</xref>) and 93 species on the southern Portuguese coast (<xref ref-type="bibr" rid="CIT08">Carvalho et al. 2012</xref>). On the other hand, in the Mediterranean area, an inventory of soft-bottom amphipods from the east coast of the Iberian Peninsula revealed the presence of 55 different species (<xref ref-type="bibr" rid="CIT14">de-la-Ossa-Carretero et al. 2010</xref>). This value is slightly higher than that found in the present work. However, taking into account the huge differences in the sampling effort between these two studies (40 stations along 250 km of coast were sampled during five consecutive years in the east coast study), the total amphipod species richness in shallow sediments could be expected to be higher in the Alboran Sea area. The relevance and high diversity of the Alboran Sea in comparison with other Mediterranean areas, mainly owing to the overlap of Atlantic and Mediterranean faunas, has already been reported (<xref ref-type="bibr" rid="CIT26">Guerra-García et al. 2009</xref>). In this sense, only in the sediments of Ceuta Harbour and Algeciras Bay (both of them in the Strait of Gibraltar), 44 and 55 amphipod species were collected, respectively, by <xref ref-type="bibr" rid="CIT11">Conradi and López-Gónzalez (1999)</xref> and <xref ref-type="bibr" rid="CIT25">Guerra-García and García-Gómez (2004)</xref>. Moreover, the existence of several upwelling areas in the littoral of southern Spain may also contribute to the high biological richness of this area (<xref ref-type="bibr" rid="CIT16">Delgado 1990</xref>).</p>
				<p>Most of the species found have a wide range of distribution, present in more than one biogeographical region. However, only one species, <italic>Ampelisca brevicornis</italic> (Costa, 1853), can be considered cosmopolitan. The percentage of Mediterranean endemism (20.6%) was similar to that obtained in previous amphipod studies in the Strait of Gibraltar area (<xref ref-type="bibr" rid="CIT11">Conradi and López-Gónzalez 1999</xref>, <xref ref-type="bibr" rid="CIT26">Guerra-García et al. 2009</xref>), but surprisingly higher than that obtained on the east coast of the Iberian Peninsula (12.7%) (<xref ref-type="bibr" rid="CIT14">de-la-Ossa-Carretero et al. 2010</xref>). </p>
				</sec>
<sec id="S4.3">
<title>Ecological quality and environmental preferences</title>
				<p>All the variables included in the CCA were significant but sediment granulometry, organic matter and N concentration were the main parameters explaining the distribution of amphipods; this finding is a common feature in soft-bottom ecology studies (<xref ref-type="bibr" rid="CIT42">Pearson and Rosenberg 1978</xref>, <xref ref-type="bibr" rid="CIT08">Carvalho et al. 2012</xref>). </p>
				<p>Regarding the ecological quality of the communities studied, the high abundance of sensitive species indicated the good state of the assemblages. The chemical data obtained agree with that conclusion, since almost all the values at all stations were far below the highest reference values tolerated in marine sediment quality guidelines (<xref ref-type="bibr" rid="CIT22">Grimwood and Dixon 1997</xref>, <xref ref-type="bibr" rid="CIT31">Long et al. 1998</xref>). Thus, because of the lack of polluted stations, it is not possible for us to evaluate the suitability of the indices for detecting the anthropogenic impacts in marine caves. Although axis 1 in the CCA correlated significantly with the concentration of organic matter, N, P, Pb and Cu, this first axis does not represent a pollution gradient, since the concentration of heavy metals and the organic enrichment levels was not very high at any station. The rise in these concentrations is associated with the increase (mainly at internal stations) in the percentage of silt and clay, which have a higher capacity to retain elements. The a priori tolerant species, such as <italic>Gammarella fucicola, Pariambus typicus </italic>and <italic>Leptocheirus hirsutimanus</italic>, appear separated in the CCA. However, another way to evaluate the suitability of the indices is to analyse the level of agreement between results obtained by different indices (<xref ref-type="bibr" rid="CIT03">Borja and Dauer 2008</xref>). In this case, both indices showed similar results for the percentage of sensitive species and BENTIX showed slightly higher results for tolerant species. These small differences were due to some discrepancies in the assignment of ecological groups for some species. The caprellid <italic>Phtisica marina</italic> Slabber, 1769, for example, is classified as tolerant by BENTIX and sensitive by AMBI. The analysis of the ecology of soft-bottom caprellids in Southern Spain carried out by <xref ref-type="bibr" rid="CIT24">Guerra-García and García-Gómez (2001)</xref> and <xref ref-type="bibr" rid="CIT27">Guerra-García et al. (2012)</xref> supports the BENTIX classification, since it is able to tolerate conditions of high organic enrichment and low oxygen concentrations. The gammarid <italic>Perioculodes longimanus</italic> is considered a tolerant species by AMBI and a sensitive one by BENTIX. <italic>P. longimanus</italic> was present at most of the stations, regardless of the granulometry, depth or position (external or internal). Its abundance at these stations with high ecological quality was often very high, suggesting that <italic>P. longimanus</italic> should probably be considered an indifferent species in the AMBI’s list of species. Other discrepancies between indices occur for the gammarids <italic>Pontocrates arenarius, Leptocheirus pectinatus</italic> (Norman, 1869) and <italic>Microdeutopus algicola</italic>. However, since all our stations showed a good state of conservation and some of these species were in very low densities, we were unable to discriminate the tolerance of these species. The study area is subjected to a low anthropogenic influence and some of the caves are even inside a marine protected area (<xref ref-type="bibr" rid="CIT45">Rodriguez et al. 2003</xref>). Future studies involving marine caves with a higher gradient of pollution stress would be very useful to properly evaluate the tolerances of different taxa and the suitability of biotic indices in marine caves. </p>
				</sec></sec>
				</body>
				<back>
				<ack>
				<title>ACKNOWLEDGEMENTS</title>
				<p>Financial support for this work was provided by the Ministerio de Economía y Competitividad (Project CGL 2011-22474, internal reference 2011-707). It was co-financed by FEDER funds of the European Union and by the Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía (Project P11-RNM-7041). Special thanks to Sara Cea and Pablo Jiménez-Prada for their help in the sorting the organisms and to two anonymous reviewers for their very helpful comments. This work is part of C.N-B’s PhD thesis, supported by the University of Seville (PIF Grant).</p>
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