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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">sm3939</article-id>
			 <article-id pub-id-type="doi">10.3989/scimar.03939.06A</article-id>
			 
			
		<title-group>
			  <article-title>Variability in the structure of epiphytic microalgae assemblages on the leaves of <italic>Posidonia oceanica</italic> in relation to human disturbance in a meadow off Tunisia</article-title>
		<trans-title-group xml:lang="es">
		<trans-title>Variabilidad en la estructura de las comunidades de microalgas epífitas en las hojas de <italic>Posidonia oceanica</italic> en respuesta a las perturbaciones humanas en una pradera de Túnez</trans-title>
		</trans-title-group>
		<alt-title alt-title-type="running-head">human disturbance on epiphytic microalgae from  <italic>P. oceanica</italic> leaves</alt-title>
		</title-group>
		
		<contrib-group>
			  <contrib contrib-type="author" corresp="yes"> 
				<name>
				 <surname>Mabrouk</surname>
				 <given-names>Lotfi</given-names>
				</name>
				<xref ref-type="aff" rid="U1"/>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Ben Brahim</surname>
				 <given-names>Mounir</given-names>
				</name>
				<xref ref-type="aff" rid="U1"/>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Hamza</surname>
				 <given-names>Asma</given-names>
				</name>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Mahfoudhi</surname>
				 <given-names>Mabrouka</given-names>
				</name>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <contrib contrib-type="author" corresp="no"> 
				<name>
				 <surname>Bradai</surname>
				 <given-names>Med-Najmeddine</given-names>
				</name>
				<xref ref-type="aff" rid="U2"/>
			  </contrib>
			  <aff id="U1">Faculté des Sciences de Sfax, Route de la Soukra km 4, BP 802-3038 Sfax, Tunisia.</aff>
			  <aff id="U2">Institut National des Sciences et Technologies de la Mer, centre de Sfax- BP 1035-CP 3018 Sfax, Tunisia.</aff>
			 </contrib-group>
			 
			 <author-notes>
		<corresp id="cor1">e-mail: <email xlink:href="lotfi2328@yahoo.fr">lotfi2328@yahoo.fr</email>
		</corresp>
		</author-notes>
		
		<pub-date pub-type="epub">
		<day>31</day>
		<month>03</month>
		<year>2014</year>
		</pub-date>
		<pub-date pub-type="collection">
		<year>2014</year>
		</pub-date>
		
		<volume>78</volume>
		<issue>1</issue>
		<fpage>27</fpage>
		<lpage>39</lpage>
		
		<elocation-id content-type="doi">10.3989/scimar.03939.06A</elocation-id>

		 <history>
		  	<date date-type="received">
				<day>12</day>
				<month>8</month>
				<year>2013</year>
			</date>
			<date date-type="accepted">
				<day>12</day>
				<month>11</month>
				<year>2013</year>
			</date>
			<date date-type="published">
				<day>24</day>
				<month>2</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>We investigated the impact of sewage discharge on <italic>Posidonia oceanica</italic> meadows in Mahdia, eastern Tunisia. We specifically addressed changes in biometric plant parameters and epiphytic microalgae composition on leaves caused by this anthropogenic interference. A hierarchical sampling design was used to compare epiphytic microalgae structure between one disturbed and two control stations. Samples were collected by SCUBA diving at 8 m depth in August 2009. A total of 58 microalgae taxa were identified on leaves. At the disturbed station, leaf length, leaf surface area and the leaf area index decreased, whereas epiphytic dinoflagellate abundances increased compared with the control stations, with more Prorocentrales, Protoperidiniales and potentially toxic species on leaves of the disturbed station. Moderate nutrient enrichment (mainly Si(OH)<sub>4</sub> and NH<sub>4</sub><sup>+</sup>) and low water transparency at the disturbed station were associated with the increased abundances of some dinoflagellate species. </p>
		</abstract>
		<trans-abstract xml:lang="es">
		<title>RESUMEN</title>
		<p>Se ha investigado el impacto de los vertidos de aguas residuales en praderas de <italic>Posidonia oceanica</italic> situadas en Mahdia (Este de Túnez). Se han estudiado los cambios en los parámetros biométricos de la planta y la composición de las microalgas epífitas en las hojas causadas por esta interferencia antrópica. Se ha utilizado un diseño de muestreo jerárquico para comparar las microalgas epífitas entre la estación perturbada y dos estaciones control. Las muestras se recolectaron en buceo autónomo a 8 m de profundidad en Agosto de 2009. La longitud, el área y el índice de área de las hojas era inferior en la estación perturbada mientras que las abundancias de los dinoflagelados epífitos eran mayores en las estaciones control, con más Prorocentrales, Protoperidiniales y otras especies tóxicas potenciales en las hojas de la estación perturbada. Un ligero aumento de nutrientes en la estación perturbada (sobre todo Si(OH)<sub>4</sub> y NH<sub>4</sub><sup>+</sup>) y una menor transparencia del agua iba asociada a un aumento en la abundancia de algunas especies de dinoflageladas.</p>
		</trans-abstract>
		<kwd-group xml:lang="en">
			<title>KEYWORDS</title>
			<kwd>epiphytic microalgae</kwd>
			<kwd>sewage disturbance</kwd>
			<kwd>spatial variability</kwd>
			<kwd><italic>Posidonia oceanica</italic></kwd>
		</kwd-group>
		<kwd-group xml:lang="es">
			<title>PALABRAS CLAVE</title>
			<kwd>microalgas epífitas</kwd>
			<kwd>aguas residuales</kwd>
			<kwd>variabilidad espacial</kwd>
			<kwd><italic>Posidonia oceanica</italic></kwd>
		</kwd-group>
	 </article-meta>
	</front>		
	<body>
			<sec id="S1">
<title>INTRODUCTION</title>
				<p>Seagrass systems are characterized by high biodiversity. Their leaves offer substrata suitable for settlement and growth of a number of micro- and macro- colonists that form stratified assemblages characterized by a high diversity of species (<xref ref-type="bibr" rid="CIT48">Mazzella et al. 1989</xref>). The most abundant and diverse epiphytic organisms on seagrasses are algae. They range from unicellular diatoms and dinoflagellates to large macrophytes. Epiphytes contribute to the primary production of the seagrass, formation of sediment (<xref ref-type="bibr" rid="CIT22">Frankovich and Zieman 1994</xref>) and nutrient cycling (<xref ref-type="bibr" rid="CIT11">Borowitzka et al. 2006</xref>) and they are a direct as well as an indirect food source for many animal species (<xref ref-type="bibr" rid="CIT24">Gambi et al. 1992</xref>).</p>
				<p>The sensitivity of <italic>Posidonia oceanica</italic> (L.) Delile to human impacts on ecosystems is an interesting biological indicator of these impacts in the coastal environment (<xref ref-type="bibr" rid="CIT60">Pergent et al. 1995</xref>). <xref ref-type="bibr" rid="CIT49">Montefalcone (2009)</xref> reviewed the use of <italic>P. oceanica</italic> as a bioindicator and found three levels of investigation: the ‘‘individual’’ level, in which the phenology of the plant (especially leaf biometry) provides information about its status and growth condition (<xref ref-type="bibr" rid="CIT45">Marbà et al. 2006</xref>); the ‘‘population’’ level, in which the structure (e.g. density and/or cover) and morphology of the meadow represent characteristic imprints of environmental conditions (<xref ref-type="bibr" rid="CIT50">Montefalcone et al. 2008</xref>); the ‘‘community’’ level, in which the associated ﬂora and fauna (especially epiphytes) are similarly susceptible to environmental alterations (<xref ref-type="bibr" rid="CIT13">Cancemi et al. 2003</xref>). Seagrass epiphytes are known to be even more sensitive to environmental changes than the plant hosts (<xref ref-type="bibr" rid="CIT57">Nesti et al. 2009</xref>). Epiphytic microalgae composition, in particular, is influenced by abiotic factors such as temperature (<xref ref-type="bibr" rid="CIT01">Aligizaki and Nikolaidis 2006</xref>; <xref ref-type="bibr" rid="CIT77">Turki 2005</xref>), light, salinity, and nutrient availability (<xref ref-type="bibr" rid="CIT04">Armitage et al. 2006</xref>) and biotic factors such as grazing (<xref ref-type="bibr" rid="CIT47">Mazzella and Russo 1989</xref>), shoot length, density and morphology of the host plant (<xref ref-type="bibr" rid="CIT70">Sirota and Hovel 2006</xref>, <xref ref-type="bibr" rid="CIT17">Chung and Lee 2008</xref>, <xref ref-type="bibr" rid="CIT41">Mabrouk et al. 2011</xref>). Nutrient over-enrichment caused by anthropogenic activities has been associated with the shift of the structure of microepiphytic assemblages (<xref ref-type="bibr" rid="CIT04">Armitage et al. 2006</xref>) and the decline of seagrass (<xref ref-type="bibr" rid="CIT27">Green and Short 2003</xref>, <xref ref-type="bibr" rid="CIT59">Orth et al. 2006</xref>, <xref ref-type="bibr" rid="CIT09">Ben Brahim et al. 2010</xref>). For example, a reduction of leaf growth and a decrease in shoot density were observed around a sewage outfall (<xref ref-type="bibr" rid="CIT61">Pergent-Martini 1994</xref>) as a consequence of epiphyte overgrowth (<xref ref-type="bibr" rid="CIT12">Cambridge et al. 1986</xref>). </p>
				<p>It is widely known that the distribution of epiphytic assemblages of <italic>P. oceanica</italic> both on leaves (<xref ref-type="bibr" rid="CIT48">Mazzella et al. 1989</xref>) and rhizomes (<xref ref-type="bibr" rid="CIT64">Piazzi et al. 2004</xref>; <xref ref-type="bibr" rid="CIT07">Balata et al. 2008</xref>) can change, but few studies analysing changes in epiphyte assemblages on leaves of <italic>P. oceanica</italic> in Tunisia has been published (<xref ref-type="bibr" rid="CIT09">Ben Brahim et al. 2010</xref>, <xref ref-type="bibr" rid="CIT43">Mabrouk et al. 2013</xref>), and to our knowledge no studies on microepiphytes have been conducted up to now. Many authors have bemoaned the lack of data in some Mediterranean regions, particularly North Africa (<xref ref-type="bibr" rid="CIT67">Ruiz et al. 2009</xref>). It is therefore of importance to undertake a study of the effects of urban pressure on <italic>P. oceanica </italic>dynamics under the impact of human activities vs. control conditions. We analysed, for the first time in the east of Tunisia (Mahdia), the structure and patterns of spatial variability of leaf epiphytic microalgae assemblages and tested their relationships with the degree of anthropogenic disturbance. We analysed the biometric parameters of <italic>Posidonia oceanica</italic> and its leaf microalgal epiphytes, looking at nutrient enrichment from sewage discharges as a cause for observed changes. </p>
				<p>We attempted to answer the questions 1) how vulnerable are the biometric parameters of <italic>P. oceanica</italic> to these environmental pressures? and 2) which members of the epiphytic microalgae community should be considered as the most sensitive species? We thus compared plant biometric parameters and epiphytic microalgae assemblages of <italic>Posidonia oceanica</italic> between a station exposed to urban and industrial effluents, and two control stations, and examined their variability at spatial scales using a hierarchical sampling design (<xref ref-type="bibr" rid="CIT78">Underwood 1992</xref>).				</p>
				</sec>
				<sec id="S2">
<title>MATERIALS AND METHODS</title>
	<sec id="S2.1">
	<title>Study area</title>
				<p>The study was carried out on the littoral close to Mahdia, eastern Tunisia in the southern Mediterranean Sea. The climate is semiarid (average precipitation, 350 mm year<sup>–1</sup>) and sunny with strong northerly winds. Since 1993, this coastal area has been exposed to the discharge of sewage from domestic and industrial factories (textile, engineering, metallurgy, electronics, chemistry, food, ceramics and glass industries).				</p>
				</sec>
	<sec id="S2.2">
	<title>Sampling and data collection	</title>
			<p>Three sampling stations 2 km distant from each other were chosen in August 2009 when the <italic>P. oceanica</italic> microepiphytic community reached its maximum abundances and diversity (<xref ref-type="bibr" rid="CIT01">Aligizaki and Nikolaidis 2006</xref>, <xref ref-type="bibr" rid="CIT77">Turki 2005</xref>, <xref ref-type="bibr" rid="CIT41">Mabrouk et al. 2011</xref>). </p>
				<p>The depth at all stations was 8 m and temperature and salinity ranges were 27-30°C and 38-40, respectively. The station disturbed by sewage discharge, Ben Ghayadha (35°29’14’’N, 11°03’38’’E, labelled D hereafter) is located about 200 m from the outfall. Two other sites, Sidi Salem (35°30’’12’N, 11°04’25’’E) and Cap Africa (35°35’43’’N, 11°05’42’’E) were selected as control stations (C1, C2), located north of the disturbed area (<xref ref-type="fig" rid="F1">Fig. 1</xref>). In accordance with the hierarchical sampling design, three sites (500 m apart) were chosen randomly at each station; and at each site, three random replicate quadrates (1600 cm<sup>2</sup> large and about 10 m apart) were sampled. Within each quadrat, all shoots were randomly sampled and preserved in 4% formalin seawater for laboratory work. </p>
				<fig id="F1">
				<label>Fig. 1</label>
				<caption>
				<title>Map of the study area, showing the sampling stations: C1 and C2, control stations; D, disturbed station.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n1-3939-web-images/sm3939fig1_fmt.png"/>
			</fig>
	<p>At each station, three water samples were collected for nutrient analyses. Samples were taken using a 125-ml plastic bottle previously treated with hydrochloric acid, held directly above the <italic>P. oceanica</italic> stands. On reaching the surface, the samples were shaken and then ﬁltered with a 0.45-µm ﬁlter (cellulose acetate, 17 mm). Samples were frozen in liquid nitrogen for transportation to the laboratory, where concentrations of NO<sub>2</sub><sup>–</sup>, NO<sub>3</sub><sup>–</sup>, NH<sub>4</sub>+, PO<sub>4</sub><sup>–</sup>, Si(OH)<sub>4</sub>, total dissolved nitrogen (TN) and total dissolved phosphorus (TP) were measured following standard colorimetric techniques (<xref ref-type="bibr" rid="CIT26">Grasshoff et al. 1983</xref>). Water transparency was measured three times, before sampling, at each site using a Secchi disc, with measurements made at about noon. </p>
				<p>The density of <italic>P. oceanica</italic> shoots was estimated from 27 replicates present within 1600 cm<sup>2</sup> quadrats inside each meadow. </p>
				<p>To detach the microepiphytic communities, from each quadrat leaves were detached from their sheet and weighed to 100 g with an electronic precision balance (<xref ref-type="bibr" rid="CIT77">Turki 2005</xref>). Weighed leaves were placed in plastic bottles, and washed with aged seawater (left at room temperature for several months) to remove loosely attached epiphytes (<xref ref-type="bibr" rid="CIT01">Aligizaki and Nikolaidis 2006</xref>); then the remaining epiphytic material was scraped with a razor blade dragged at a right angle against the leaf along the length (<xref ref-type="bibr" rid="CIT36">Kendrick and Lavery 2001</xref>). The scraped material was washed through a 500-µm sieve to separate larger epiphyte fragments from the microepiphytes. Fleshy epiphytes on the sieve were separated by hand from the periphyton, which consisted of the remaining material on the sieve (calcareous encrusting algae) and the smaller periphyton which had passed through the sieve (<xref ref-type="bibr" rid="CIT33">Jernakoff and Nielsen 1997</xref>, <xref ref-type="bibr" rid="CIT36">Kendrick and Lavery 2001</xref>). The filtered material was then passed through 250- and 100-µm mesh sieves to remove large particles, fixed with Lugol’s solution and finally preserved in 5 % formalin; its volume (V) was noted. All filtered materials were kept in the dark at ambient temperature until microscopic observation. Settling long glass tubes used for sedimentation procedure were 2 cm wide by 21 cm long and had a base plate containing a coverslip onto which the algae settled. To mix the sample, the bottle was gently tilted back and forth 10 times before pouring. A 50-ml sub-sample was poured into the settling chamber and left to settle for 24 h. Subsamples were examined in an inverted microscope at medium (×200) magnification by scanning the entire surface of the settling chamber to enumerate epiphytic microalgae (<xref ref-type="bibr" rid="CIT80">Utermöhl 1958</xref>, <xref ref-type="bibr" rid="CIT73">Sournia 1978</xref>). The total number of microalgae individuals (N) contained in 100 g of fresh weight <italic>Posidonia</italic> [expressed as number of individuals per 100 g of fresh weight of <italic>Posidonia</italic> (fw)] is obtained by the conversion N=(n×V)/v, where n= number of individuals counted, V= volume of the filtered material and v= volume of the sedimentation chamber (50 ml). The identified taxa were divided into groups (diatoms, dinoflagellates, cyanobacteria).</p>
				<p>Among the remaining sample of each quadrat, 60 shoots were taken and leaves were removed in distichous order of insertion and separated into the various categories defined by <xref ref-type="bibr" rid="CIT25">Giraud (1979)</xref>. For each shoot, the following leaf traits were scored: (1) total number of standing leaves; (2) total number and (3) length of adult and intermediate leaves and (4) leaf width. Leaf area index (LAI, m<sup>2</sup> m<sup>–2</sup>) was determined as product of leaf surface area (total leaf length × mean leaf width, cm<sup>2</sup>/shoot) and shoot density. </p>
				</sec>
	<sec id="S2.3">
	<title>Data analysis</title>
				<p>Data were tested for normality using the Kolmogorov-Smirnov test (<xref ref-type="bibr" rid="CIT82">Zar 1999</xref>) and for heteroscedasticity using Cochran’s C test, and transformed if necessary (<xref ref-type="bibr" rid="CIT78">Underwood 1992</xref>).</p>
				<p>Relationships between epiphytic species abundance and abiotic parameters were examined using the RELATE procedure in PRIMER. RELATE is the equivalent of a nonparametric Mantel test (<xref ref-type="bibr" rid="CIT72">Somerfield et al. 2002</xref>). It assesses the degree of correspondence between matrices and, via a randomization test, provides a measure of statistical significance of the relationship (<xref ref-type="bibr" rid="CIT19">Clarke and Warwick 2001</xref>). The matrix of similarities between epiphytic species abundance (based on Bray-Curtis coefficient from log(x+1)-transformed data) was compared with a matrix of the similarity between abiotic parameters (based on Euclidean distance from log(x+1)-transformed data). The significance of any correlation between matrices was assessed with a randomization test. </p>
				<p>Analysis of similarity (ANOSIM) randomization tests were used to test for differences in community composition (with presence-/absence-transformed data) and for differences in species abundance (with log(x+1)-transformed data) between control and disturbed stations (<xref ref-type="bibr" rid="CIT18">Clarke 1993</xref>). Differences found using ANOSIM were followed up using similarity percentage (SIMPER) analysis to identify which species primarily accounted for the observed differences between sites. SIMPER generates a ranking of the species responsible for the significant differences. These analyses used a matrix composed of Bray-Curtis similarity coefficient generated with log(x+1)-transformed species abundance data.</p>
				<p>Analysis of variance (ANOVA) was used to test the hypothesis that the abundance of each group of taxa differed between disturbed and reference stations. As is common in studies of impact, there was only one disturbed station [chosen using previous inspection of <italic>P. oceanica</italic> meadow (<xref ref-type="bibr" rid="CIT40">Mabrouk et al. 2009</xref>) and its macroepiphytes (<xref ref-type="bibr" rid="CIT43">Mabrouk et al. 2013</xref>)] and the analyses were asymmetrical (<xref ref-type="bibr" rid="CIT78">Underwood 1992</xref>). The sums of squares of the factor station were divided into two components: the contrast ‘disturbed vs control’ and the variability among controls. Sites were nested within stations and quadrats were nested within sites. All factors (stations, sites, quadrats and the contrast ‘disturbed vs control’) were ﬁxed. The same design was employed for the biometric parameters of <italic>P. oceanica</italic>, nutrient concentrations and transparency. A Tukey HDS test was applied for multiple comparisons of means.</p>
				<p>Canonical correspondence analysis (CCA), a direct gradient analysis technique (<xref ref-type="bibr" rid="CIT75">ter Braak and Verdonschot 1995</xref>), was used to investigate the relationship between epiphytic species and physicochemical parameters. Epiphytic microalgae abundance data were log(x+1)-transformed prior to the analysis in order to stabilize the variance and to optimize the signal-to-noise ratio in the data set. Down-weighting for rare species was performed. Forward selection and associated Monte Carlo permutation tests (499 unrestricted permutations) were used to identify a subset of environmental variables that contributed mostly to the epiphyte abundances in the data set. The environmental parameters which best described the distribution of the species data were a priori identiﬁed by forward selection (<xref ref-type="bibr" rid="CIT75">ter Braak and Verdonschot 1995</xref>). Only significant environmental variables are included in the model. CANOCO 4.5 (Scientia Software) software was used.</p>
				</sec>
				</sec>
			<sec>
		<title>RESULTS</title>
				<p>The disturbed station exhibited quite higher concentrations of nitrite, nitrate, ammonium, phosphate and Si(OH)<sub>4</sub>, TP and TN. Water transparency was higher at the control stations (<xref ref-type="table" rid="T1">Table 1</xref>). The lowest shoot density, adult and intermediate leaf length, leaf surface, leaf area index and leaf biomass were recorded in disturbed station D (<xref ref-type="fig" rid="F2">Fig. 2</xref>). ANOVA analysis showed that most of biometric parameters (shoot density, leaf length, leaf surface and leaf area index) of <italic>P. oceanica</italic> differed between control and disturbed stations (<xref ref-type="table" rid="T2">Table 2</xref>).</p>

	<table-wrap id="T1">
			<label>Table 1</label>
		<caption>
			<title>The mean±SD values of physical and chemical variables measured at all stations during the sampling period. Difference between control stations (C) and disturbed station (D) was tested by asymmetrical ANOVA. ***, P&lt;0.001; Tr, transparency.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
				      <tr>
				        <th/>
				        <th/>
				        <th/>
				        <th colspan="3"> Station (mean±sd) </th>
				        <th colspan="2"> ANOVA (C vs. D) </th>
			          </tr>
				      <tr>
				        <th> Variables </th>
				        <th> unit </th>
				        <th> N </th>
				        <th> C1 </th>
				        <th> C2 </th>
				        <th> D </th>
				        <th> F<sub> (1; 26)</sub> </th>
				        <th> Tukey test </th>
			          </tr>
  </thead>
				    <tbody>
				      <tr>
				        <td> Tr </td>
				        <td> cm </td>
				        <td> 27 </td>
				        <td> 431.8±9.22 </td>
				        <td> 419.1±9.46 </td>
				        <td> 111.47±13.51 </td>
				        <td> 558.824*** </td>
				        <td> C&gt;D </td>
			          </tr>
				      <tr>
				        <td> NO<sub>2</sub><sup>–</sup></td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 0.339±0.013 </td>
				        <td> 0.384±0.002 </td>
				        <td> 0.821±0.015 </td>
				        <td> 2404.878*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> NO<sub>3</sub><sup>–</sup></td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 2.312±0.061 </td>
				        <td> 3.172±0.021 </td>
				        <td> 5.917±0.014 </td>
				        <td> 443.685*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> NH<sub>4</sub><sup>+</sup></td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 10.556±0.117 </td>
				        <td> 4.176±0.066 </td>
				        <td> 13.832±0.145 </td>
				        <td> 29.361*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> PO<sub>4</sub><sup>3–</sup></td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 0.597±0.021 </td>
				        <td> 0.684±0.018 </td>
				        <td> 0.950±0.022 </td>
				        <td> 144.008*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> Si(OH)<sub>4</sub></td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 0.946±0.017 </td>
				        <td> 2.081±0.086 </td>
				        <td> 3.548±0.113 </td>
				        <td> 120.644*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> TP </td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 3.917±0.107 </td>
				        <td> 3.345±0.114 </td>
				        <td> 5.487±0.103 </td>
				        <td> 947.158*** </td>
				        <td> D&gt;C </td>
			          </tr>
				      <tr>
				        <td> TN </td>
				        <td> µmol l<sup>–1</sup></td>
				        <td> 27 </td>
				        <td> 22.355±0.293 </td>
				        <td> 16.328±0.155 </td>
				        <td> 24.643±0.328 </td>
				        <td> 20.201*** </td>
				        <td> D&gt;C </td>
			          </tr>
			        </tbody>
		      </table>
		    </table-wrap>
						<fig id="F2">
				<label>Fig. 2</label>
				<caption>
				<title>Mean ± sd of biometric parameters of <italic>Posidonia oceanica</italic> at sampling stations</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n1-3939-web-images/sm3939fig2.jpg"/>
			</fig>

	<table-wrap id="T2">
			<label>Table 2</label>
		<caption>
			<title>ANOVA on phenological parameters of <italic>P. oceanica</italic> between controls and the disturbed station. St, station; si, site; qd, quadrate; C, control; D, disturded; res, residuals; ** p&lt;0.01; *** p&lt;0.001</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>

                  <tr>
                    <th> Source </th>
                    <th> Df </th>
                    <th> MS </th>
                    <th> F test </th>
                    <th> Tukey test </th>
                  </tr>
                  <tr>
                    <th colspan="5"> Density(shoots m<sup>–2</sup>) </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.27 p=0.61 n. s.) </th>
                  </tr>
  </thead>
                <tbody>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 350554.62 </td>
                    <td> 83.60*** </td>
                    <td> C1=C2&gt;D </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 700454.630 </td>
                    <td> 171.98*** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 654.617 </td>
                    <td> 0.140 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 8236.70 </td>
                    <td> 1.96 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 2374.09 </td>
                    <td> 0.57 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 4193.33 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 5397.4 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <th colspan="5"> Total number of leaves per shoot </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.20 p=0.62 n. s.) </th>
                  </tr>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 0.71 </td>
                    <td> 1.00 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 0.034 </td>
                    <td> 1.590 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 0.023 </td>
                    <td> 0.760 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 0.13 </td>
                    <td> 0.18 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 0.78 </td>
                    <td> 1.10 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 0.70 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 0.8 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <th colspan="5"> Adult leaf length (cm) </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.22 p=0.79 n. s.) </th>
                  </tr>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 356.15 </td>
                    <td> 16.23*** </td>
                    <td> C1=C2&gt;D </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 711.553 </td>
                    <td> 42.38*** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 0.748 </td>
                    <td> 0,036 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 10.01 </td>
                    <td> 0.46 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 19.06 </td>
                    <td> 0.87 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 21.95 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 24.32 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <th colspan="5"> Intermediate leaf length (cm) </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.22 p=0.90 n. s.) </th>
                  </tr>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 1090.83 </td>
                    <td> 351.03*** </td>
                    <td> C1=C2&gt;D </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 17,488 </td>
                    <td> 751.05*** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 1.3 E-3 </td>
                    <td> 0.001 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 4.52 </td>
                    <td> 1.45 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 4.23 </td>
                    <td> 1.36 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 3.11 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 728.22 </td>
                    <td> 165.76*** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 4.39 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <th colspan="5"> Leaf Surface (cm<sup>2</sup> shoot<sup>–1</sup>) </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.36 p=0.22 n. s.) </th>
                  </tr>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 26253.13 </td>
                    <td> 381.28*** </td>
                    <td> C1=C2&gt;D </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 52270.815 </td>
                    <td> 776.57** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 235.445 </td>
                    <td> 3.065 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 48.92 </td>
                    <td> 0.71 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 57.61 </td>
                    <td> 0.84 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 68.86 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 109.65 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <th colspan="5"> Leaf Area Index (m<sup>2</sup> m<sup>–2</sup>) </th>
                  </tr>
                  <tr>
                    <th colspan="5"> (Cochran C test C=0.42 p=0.59 n. s.) </th>
                  </tr>
                  <tr>
                    <td> St </td>
                    <td> 2 </td>
                    <td> 171.54 </td>
                    <td> 175.94*** </td>
                    <td> C1=C2&gt;D </td>
                  </tr>
                  <tr>
                    <td> C vs.D </td>
                    <td> 1 </td>
                    <td> 7.668 </td>
                    <td> 303.98** </td>
                    <td> C&gt;D </td>
                  </tr>
                  <tr>
                    <td> among controls </td>
                    <td> 1 </td>
                    <td> 4.7 E-3 </td>
                    <td> 0.015 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> si(St) </td>
                    <td> 4 </td>
                    <td> 3.23 </td>
                    <td> 3.32 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> qd(si) </td>
                    <td> 6 </td>
                    <td> 1.49 </td>
                    <td> 1.53 </td>
                    <td> n. s. </td>
                  </tr>
                  <tr>
                    <td> Res </td>
                    <td> 12 </td>
                    <td> 0.97 </td>
                    <td></td>
                    <td></td>
                  </tr>
                  <tr>
                    <td> Res (C vs.D) </td>
                    <td> 25 </td>
                    <td> 1.74 </td>
                    <td></td>
                    <td></td>
                  </tr>
                </tbody>
              </table>
            </table-wrap>
            <p>The RELATE procedure in PRIMER software reveals significant correlations between physico-chemical and biometric parameters and abundance of microepiphytes (R=0.214, p=0.007).</p>
				<p>For epiphytic microalgae on the leaves of <italic>P. oceanica</italic>, 58 species were counted, including 52 at the control stations and 44 at the disturbed station (<xref ref-type="app" rid="A1">Appendix 1</xref>). ANOSIM of epiphytic microalgae species abundances log(x+1)-transformed showed significant differences (R=0.591; p=0.01) between the control stations and the disturbed station. The same results were obtained (R=0.615; p=0.01) using presence-/absence-transformed data showing that the dissimilarities between stations are due both to species composition and their abundances.</p>
				<p>Dinoflagellates, diatoms and cyanobacteria were common epiphytes on leaves (<xref ref-type="fig" rid="F3">Fig. 3</xref>). Abundances of those groups were included in the univariate analyses of variance. Dinoflagellates differed significantly between stations (F<sub>(2;12)</sub>=4.63, p=0.032) and between the contrast ‘disturbed vs. control stations’ (F<sub>(1;25)</sub>=5.47, p=0.028) with high abundance at disturbed station (Tukey test). Significant differences were detected for Prorocentrales and Protoperidiniales when comparing at the level of the stations (F<sub>(2;12)</sub>=5.96, p=0.016; F<sub>(2;12)</sub>=3.19, p= 0.047, respectively) and between the contrast ‘disturbed vs. control stations’ (F<sub>(1;25)</sub>=6.97, p=0.014; F<sub>(1;25)</sub>=15.89, p&lt;0.001), with high abundance at disturbed station (Tukey test). When the abundances of toxic dinoflagellates were grouped, significant differences were detected at the level of stations (F<sub>(2;12)</sub>=5.57, p=0.019) and for the contrast ‘disturbed vs. control’ (F<sub>(1;25)</sub>=3.68, p=0.043), with high abundance at the disturbed station. No significant differences for all levels were recorded for diatoms and for cyanobacteria. No significant differences were detected among control stations for all groups (<xref ref-type="app" rid="A2">Appendix 2</xref>).</p>
			<fig id="F3">
				<label>Fig. 3</label>
				<caption>
				<title>Average abundance of microepiphytes on leaves at prospected stations.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n1-3939-web-images/sm3939fig3.jpg"/>
			</fig>

<p>SIMPER analyses showed that the average dissimilarity between the control and disturbed group was high (74.19%). This procedure also allowed us to determine the species that contribute to this dissimilarity: <italic>Prorocentrum concavum, P. rathymum, Pinnularia </italic>sp., <italic>Peridinium</italic> sp., cyst of <italic>Karenia selliformis</italic>, cyst of <italic>Polykrikos, Gymnodinium</italic> sp., <italic>Amphiprora constricta, Prorocentrum lima, Oscillatoria</italic> sp., <italic>Biddulphia, Poly-krikos</italic> sp., <italic>Pleurosigma</italic> sp., <italic>Coolia monatis</italic> and <italic>Amphidinium cartera</italic> (<xref ref-type="fig" rid="F4">Fig. 4</xref>).</p>

			<fig id="F4">
				<label>Fig. 4</label>
				<caption>
				<title>Diagram showing the average similarity within each sampling station (continuous line and percentages), the average dissimilarity between control and disturbed station (broken line and percentages), and the distribution of discriminating species following SIMPER results.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n1-3939-web-images/sm3939fig4.jpg"/>
			</fig>
<p>CCA analysis indicated that the axis I (eigenvalue λ1 =0.324) expressed 74.7% of the cumulative variance species-environmental variable. Eigenvalues (P-value) calculated with the CCA associated with the analysis in the Monte Carlo test were used to select two statistically significant environmental variables (p&lt;0.05) that best explain variations (28.54%) of species composition: Si(OH)<sub>4</sub> and NH<sub>4</sub><sup>+</sup> (14.27% and 11.86% of total variance, respectively). In the triplot diagram (<xref ref-type="fig" rid="F5">Fig. 5</xref>) disturbed station samples were grouped in the left and are correlated with the axis I, which is defined by the environmental variables NH<sub>4</sub><sup>+</sup> and Si(OH)<sub>4</sub> (intra-set correlation 0.639 and 0.439, respectively). Species placed together with the disturbed station were <italic>Protoperidinium</italic> sp. and <italic>Gymnodinium</italic> sp. The orthogonal projection of these species on environmental variables showed that they have important preferences for NH<sub>4</sub><sup>+</sup> and Si(OH)<sub>4</sub>. Most other species have a midway position between the three stations, which suggests that they have quite similar frequencies and abundances among the three stations. </p>

			<fig id="F5">
				<label>Fig. 5</label>
				<caption>
				<title>Diagram of Canonical Correspondence Analysis showing the effects of environmental variables on epiphytic species ordination according to the first and second axes. Number are species: 1, <italic>Protoperidinum</italic> sp.; 2, <italic>Gyrosigma</italic> sp.; 3, Cyst of <italic>Polykrikos</italic>; 4: Cyst of <italic>Karenia selliformis</italic>; 5, <italic>Licmophora</italic> sp.; 6, <italic>Prorocentrum lima</italic>; 7, <italic>Navicula</italic> sp.; 8, <italic>Climacosphenia moniligera</italic>; 9, <italic>Pleurosigma</italic> sp.; 10, <italic>Prorocentrum concavum</italic>; 11, <italic>Pinnularia</italic> sp.; 12, <italic>Biddulphia</italic> sp.; 13, <italic>Gymnodinium</italic> sp.; 14, <italic>Prorocentrum rhathymum</italic>; 15: <italic>Peridinium</italic> sp.; 16, <italic>Amphidinium carterae</italic>; 17, <italic>Prorocentrum minimum</italic>; 18, <italic>Coolia monotis</italic>; 19, <italic>Merismopedia</italic> sp.; 20, <italic>Ostreopsis siamensis</italic>; 21, <italic>Rhizosolenia</italic> sp.; 22, <italic>Nitzschia</italic> sp.; 23, <italic>Amphiprora constricta</italic>; 24, <italic>Anabaena</italic> sp.; 25, <italic>Prorocentrum gracile</italic>. Species whose coverage and frequency less than 10% were eliminated.</title>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="../sm78n1-3939-web-images/sm3939fig5.jpg"/>
			</fig>
			</sec>
	<sec>
	<title>DISCUSSION</title>
				<p>Our study shows two main results: (1) A decline in meadow vitality at the disturbed station compared with control sites, and (2) The abundance and composition of epiphytic microalgae changes at the disturbed station through an increase of dinoflagellate abundance. </p>
				<p>Our data showed a moderate nutrient enrichment at the disturbed station that did not reach an eutrophication stage because the concentrations were not high enough, but the transparency was very low due to suspended solids discharged from the outfall. </p>
				<p>The multivariate analysis illustrates a decrease in seagrass leaf biometric parameters (shoot density, leaf length, leaf surface and leaf area index) at disturbed vs. control stations, thus indicating the inability of disturbed meadows to withstand increasing urban interferences. The number of leaves per shoot was not different between stations, a finding which is consistent with previous studies (<xref ref-type="bibr" rid="CIT14">Capiomont et al. 2000</xref>, <xref ref-type="bibr" rid="CIT43">Mabrouk et al. 2013</xref>). A decline in shoot density, leaf area index, leaf surface and leaf length at disturbed stations compared with control sites has been found by several authors (<xref ref-type="bibr" rid="CIT38">Leriche et al. 2004</xref>, <xref ref-type="bibr" rid="CIT09">Ben Brahim et al. 2010</xref>). These results cannot be assigned only to nutrient enrichment; several factors may also explain this decline: first, the decrease in water transparency at the disturbed station (<xref ref-type="table" rid="T1">Table 1</xref>) involves the reduction of light intensity necessary for photosynthesis. Second, the decrease in salinity following the discharge of sewage could affect plant biometric parameters (<xref ref-type="bibr" rid="CIT08">Ben Alaya 1972</xref>). In addition, pollutants affect the vitality and physiology of <italic>Posidonia</italic> (<xref ref-type="bibr" rid="CIT05">Augier and Maudinas 1979</xref>, <xref ref-type="bibr" rid="CIT62">Pergent-Martini and Pergent 2000</xref>). The National Sanitation Utility in Tunisia (<xref ref-type="bibr" rid="CIT58">ONAS 2008</xref>) claimed that discharge into the sea in northern Tunisia caused high turbidity and sediment pollution (high content of total organic carbon, fairly high levels of nitrates and metals such as Fe, Mn, Zn, Pb, Ni, Co, Pb and Cd). </p>
				<p>The diversity of epiphytic microorganisms on the leaves of <italic>Posidonia oceanica</italic> was high along the Mahdia coast. confirming previous findings indicating that vegetated ecosystems are ideal habitats for benthic diatoms and other epiphytes (<xref ref-type="bibr" rid="CIT20">Cummins et al. 2004</xref>). This is because seagrass leaves and algal thalli may represent a surface area one order of magnitude greater for the colonization and growth of diatoms (<xref ref-type="bibr" rid="CIT83">Zieman 1989</xref>). Our results show that the abundance and composition of microepiphytes changes at the disturbed station, with an increase in abundance of dinoflagellates, especially from the orders Prorocentrales and Protoperidiniales. These results are similar to those found by <xref ref-type="bibr" rid="CIT10">Ben Brahim et al. (2013)</xref> in southern Tunisia (Gulf of Gabes). Some fertilization experiments have shown shifts in relative dominance among algal species, with a shift towards cyanobacteria (<xref ref-type="bibr" rid="CIT04">Armitage et al. 2006</xref>) and diatoms (<xref ref-type="bibr" rid="CIT23">Frankovich et al. 2009</xref>) under nutrient enrichment. </p>
				<p>There is an evident difference of epiphytic composition between control and disturbed stations, but those changes can be attributed to the moderate nutrient enrichment or to the low transparency detected at sites around the outfall. It is known that nutrient enrichment stimulates the growth of epiphytic algae (<xref ref-type="bibr" rid="CIT51">Moore and Wetzel 2000</xref>) and causes changes in their species composition (<xref ref-type="bibr" rid="CIT81">Wear et al. 1999</xref>). However, each microalgal group displays a unique spatial pattern in response to N and P enrichment (<xref ref-type="bibr" rid="CIT04">Armitage et al. 2006</xref>). Our data show that there is an increase in dinoflagellates at the disturbed station compared with control sites but no significant differences are found for diatoms and cyanobacteria. <xref ref-type="bibr" rid="CIT040">Armitage et al. (2006)</xref> also found that diatoms did not response to nutrient enrichment. It seems that dinoflagellates tolerate better those environmental variations. <xref ref-type="bibr" rid="CIT06">Baker et al. (2007)</xref> have suggested that some taxa of this latter group may have several significant ecophysiological differences when compared with diatoms, dealing with variations in their chemical and physical environment (e.g. nutrients, light and temperature), such as a lower affinity for nutrients, considerable nutritional diversity, and motility. In addition, <xref ref-type="bibr" rid="CIT65">Prézelin and Haxo (1976)</xref> have shown that in dinoflagellates grown under low light intensity, a greater proportion of the chlorophyll a is localized in PCP complexes (peridinin chlorophyll a proteins), providing an increased light-gathering capacity. Light is a factor that influences the composition of epiphytes at the polluted station. Indeed, turbidity at this station reduces the light intensity that reaches the meadow and hence the dominance of some tolerant species such as members of the order Prorocentrales. These species have an optimum light intensity lower than 10% of sunlight (<xref ref-type="bibr" rid="CIT52">Morton et al. 1992</xref>).</p>
				<p> Phytoplankton species respond in different ways to nutrient enrichment, probably based on their life cycle characteristics, such as growth rate and their absorptive capacity (<xref ref-type="bibr" rid="CIT63">Philippart et al. 2000</xref>). According to <xref ref-type="bibr" rid="CIT37">Lepoint et al. (2007)</xref>, it is difficult to predict which group would be favored by the moderate intake of nutrients. <xref ref-type="bibr" rid="CIT39">Lin et al. (1996)</xref> found that nutrient enrichment (NO<sub>3</sub><sup>–</sup>, NH<sub>4</sub><sup>+</sup>, PO<sub>4</sub><sup>–</sup>, either alone or in combination) did not result in an increase in the abundance of epiphytes on <italic>Zostera marina</italic>. These communities respond in complex ways to the addition of nutrients. The seasonal influence on the response of algae epiphytic nutrient enrichment seems important (<xref ref-type="bibr" rid="CIT55">Neckles 1993</xref>). For example, the increased epiphytic load on <italic>Z. marina</italic> because of the high nitrogen loading occurred only in summer (<xref ref-type="bibr" rid="CIT29">Hauxwell et al. 2003</xref>). Therefore, the dominance of a group is either transient or steady but highly seasonal, coinciding with seasonal events of nutrient inputs (<xref ref-type="bibr" rid="CIT32">Ierodiaconou and Laurenson 2002</xref>). <xref ref-type="bibr" rid="CIT28">Harrison et al. (1991)</xref> found that high organic matter and nutrient enrichment caused the increase in centric diatoms (such as <italic>Thalassionema, Rhizosolenia, Striatella, Skletonema</italic>). <xref ref-type="bibr" rid="CIT69">Shen (2001)</xref> found that the limitation of silicon did not cause a change in species abundance of diatoms but had an effect on cell size, which was smaller than those at control stations.</p>
				<p>It seems that the response of the epiphytic community depends on the nature and degree of nutrient enrichment. For example, Silicon (Si) played the most important role in the growth and development of diatoms, while dinoflagellates were mostly controlled by phosphorus (P) availability (<xref ref-type="bibr" rid="CIT16">Chikhaoui et al. 2008</xref>). When phosphorus loading increased, a shift from diatoms to dinoﬂagellates was observed (<xref ref-type="bibr" rid="CIT31">Hodgkiss 2001</xref>). In the same vein, in Tunisian aquaculture lagoons, blooms of toxic dinoﬂagellates have been shown to develop when the N:P ratio drops in autumn (<xref ref-type="bibr" rid="CIT66">Romdhane et al. 1998</xref>). Increases in the N:Si ratio were proportional to the increase in ﬂagellates (<xref ref-type="bibr" rid="CIT71">Smayda et al. 2004</xref>) and the decrease in diatoms abundance (<xref ref-type="bibr" rid="CIT02">Anderson et al. 2002</xref>).</p>
				<p>The epiphyte-grazer interaction also plays an important role in controlling the abundance and diversity of epiphytes. Indeed, the epiphytes of marine macrophytes are a food source for a range of grazers and predators and, in turn, they influence the diversity and abundance of epiphytes by removing the substrate and biomass of the host plant (<xref ref-type="bibr" rid="CIT34">Jernakoff et al. 1996</xref>, <xref ref-type="bibr" rid="CIT11">Borowitzka et al. 2006</xref>). Grazers can be highly selective (<xref ref-type="bibr" rid="CIT15">Cattaneo 1983</xref>), making the potential effects of nutrient enrichment undetectable (<xref ref-type="bibr" rid="CIT56">Neckles et al. 1994</xref>, <xref ref-type="bibr" rid="CIT30">Heck and Valentine 2007</xref>), and they may thus have a strong effect on the spatial pattern of the periphytic community (<xref ref-type="bibr" rid="CIT68">Sarnelle et al. 1993</xref>). Some grazers (scrapers) feed preferentially on tightly attached diatoms (<xref ref-type="bibr" rid="CIT47">Mazzella and Russo 1989</xref>), whereas others (surfers) favour stalked and filamentous diatoms (<xref ref-type="bibr" rid="CIT74">Tall et al. 2006</xref>). <xref ref-type="bibr" rid="CIT56">Neckles et al. (1994)</xref> showed that numbers of diatoms decreased in the presence of grazers and showed little response to nutrient enrichment. This may be a possible explanation for the absence of variation of diatoms at our studied sites.</p>
				<p>Another hypothesis that may explain changes in epiphytic microalgae at the polluted station is that the abundance of epiphytes is correlated with leaf phenological parameters of the host plant (RELATE procedure). The decrease in biometric parameters of <italic>Posidonia</italic> at the disturbed station (<xref ref-type="fig" rid="F2">Fig. 2</xref>, <xref ref-type="table" rid="T2">Table 2</xref>) induces changes in the abundance of microepiphytes. This result has been also found by previous studies (<xref ref-type="bibr" rid="CIT35">Johnson et al. 2005</xref>, <xref ref-type="bibr" rid="CIT41">Mabrouk et al. 2011</xref>)</p>
				<p>Our results also show an increase  at the disturbed station in the abundance of potentially toxic dinoflagellates such as <italic>Alexandrium minitum, Amphidinium carterae, Karenia selliformis, Coolia monatis, Karlodinium veneﬁcum, Ostreopsis siamensis, Prorocentrum concavum, P. minimum, P. rathymum</italic> and <italic>P. lima</italic>. Some of them are potential toxin producers (<xref ref-type="bibr" rid="CIT53">Nakajima et al. 1981</xref>). Epiphytic <italic>Prorocentrum</italic> species are mainly associated with okadaic acid and the production of analogues (<xref ref-type="bibr" rid="CIT21">Faust 1991</xref>, <xref ref-type="bibr" rid="CIT54">Nascimento et al. 2005</xref>). These ﬁndings support those of <xref ref-type="bibr" rid="CIT66">Romdhane et al. (1998)</xref> and <xref ref-type="bibr" rid="CIT03">Armi et al. (2010)</xref> in Tunisia and those of <xref ref-type="bibr" rid="CIT01">Aligizaki and Nikolaidis (2006)</xref>,<xref ref-type="bibr" rid="CIT44"> Mangialajo et al. (2008)</xref> and <xref ref-type="bibr" rid="CIT76">Totti et al. (2010)</xref> in the northern Mediterranean Sea. All those surveys demonstrated that the increase in dinoﬂagellates, including the toxic species, is related to the increase in nutrient enrichments which is species-speciﬁc (<xref ref-type="bibr" rid="CIT02">Anderson et al. 2002</xref>). These results are particularly useful in this area, with the recent establishment of several fish farms, since epiphytic dinoflagellates are easily resuspended in the water column (<xref ref-type="bibr" rid="CIT42">Mabrouk et al. 2012</xref>). Moreover, <xref ref-type="bibr" rid="CIT46">Marr et al. (1992)</xref> concluded that the underestimation of toxic dinoflagellates associated with a toxic event might be due, in part, to the lack of sampling of the benthic and epiphytic communities.</p>
				<p>Finally, it is necessary to improve a management programme to protect <italic>P. oceanica</italic> and its associated epiphytes in Ben Ghayadha, respecting the guideline of <xref ref-type="bibr" rid="CIT79">UNEP/WHO (1996)</xref>, which recommended that discharges in the direct vicinity of <italic>Posidonia</italic> beds should be avoided whenever possible. </p>
				<p>The present study underlines the use of epiphytic microalgae assemblages in seagrass ecosystems as general indicators of anthropogenic disturbance to seagrass meadows. It was clear that the effect of nutrient loading and turbidity could be depicted in the community structure and diversities of seagrass-associated epiphytes (<xref ref-type="bibr" rid="CIT07">Balata et al. 2008</xref>, <xref ref-type="bibr" rid="CIT09">Ben Brahim et al. 2010</xref>, <xref ref-type="bibr" rid="CIT43">Mabrouk et al. 2013</xref>, this study). During the period of study (August), nutrient enrichment (mainly Si(OH)<sub>4 </sub>and NH<sub>4</sub><sup>+</sup>) and turbidity were associated with an increase in abundance of dinoflagellates , especially Protoperidiniales and Prorocentrales. The results of this survey can be used to compare with other regions in the Mediterranean subjected to same conditions where we can observe the deterioration in vitality of <italic>Posidonia oceanica</italic> meadow and increases in dinoflagellates.				</p>
				</sec>
		</body>
		<back>
				<ack>
	<title>ACKNOWLEDGEMENTS</title>
				<p>This study was supported by the research project <italic>EBHAR</italic> ‘État du Benthos et des Habitats Remarquables’ of the National Institute of Sciences and Technology of the Sea (INSTM). We also thank editors and reviewers for their comments, which improved the quality of the manuscript.				</p>
				</ack>
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<app>
			    <title>APPENDIX</title>
					<table-wrap id="A1">
			<label>Appendix 1</label>
		<caption>
			<title> Species list of microepiphytes identified on the leaves of <em>P. oceanica</em> at all prospected stations.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>
						<tr>
							<th>
								Groups
							</th>
							<th>
								Species
							</th>
							<th>
								Control stations
							</th>
							<th>
								Disturbed station
							</th>
						</tr>
  </thead>
					<tbody>
						<tr>
							<td>
								Diatoms
							</td>
							<td>
								<em>Achnanthes</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Amphiprora constricta</em> (Ehrenberg 1843)
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Amphora</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Bacillaria</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Biddulphia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Chamaesiphon</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Chaetoceros</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Climacosphenia moniligera</em> (Ehrenberg 1843)
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Coscinodiscus</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Grammatophora</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Gyrosigma</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Leptocylindrus</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Licmophora</em> sp. 
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Melosira</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Navicula</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Nitzschia fontifuga</em> (Cholnoky 1962)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Nitzschia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Pinnularia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Plagiotropis</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Pleurosigma</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Pseudonitzschia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Rhizosolenia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Skeletonema</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Striatella unipunctata</em> (Lyngbye) C. Agardh 1932
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Thalassionema nitzschioides</em> (Grunow) Mereschkowsky 1902
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								Cyanobacteria
							</td>
							<td>
								<em>Anabaena</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Chroococcus</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Lyngbya</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Merismopedia</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Microcystis</em> sp.
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Oscillatoria</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Pseudanabaena</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								Dinoflagellates
							</td>
							<td>
								<em>Alexandrium</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Amphidinium carterae</em> Hulburt, 1957
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Biceratium furca</em> (Ehrenberg) Vanhoeffen 1897
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Ceratium tripos</em> (O.F.Müller) Nitzsch 1817
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Coolia monotis</em> (Meunier 1919)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Gymnodinium</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								Cyst of <em>Karenia selliformis</em> A.J.Haywood, K.A.Steidinger &amp; L.MacKenzie, 2004 
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								Cyst of <em>Polykrikos</em>
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Ostreopsis siamensis</em> (Schmidt 1901)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Peridinium</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Polykrikos</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum concavum</em> (Fukuyo 1981)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum gracile</em> (Schütt 1895)
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum lima</em> (Ehrenberg 1860) Dodge 1975
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum micans</em> (Ehrenberg 1834)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum minimum</em> (Pavillard 1916) Schiller 1931
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum rhathymum</em> Loeblich III, Sherley et R.J. Schmidt 1979
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Prorocentrum triestinum</em> (Schiller 1918)
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium curtipes</em> (Jørgensen 1912) Balech 1974
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium depressum</em> (Bailey 1850) Balech 1974
							</td>
							<td>
								+
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium divergens</em> (Ehrenberg 1841) Balech 1974
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium mite</em> (Pavillard 1916) Balech 1974 
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium ovum</em> (Schiller 1911) Balech 1974
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium steinii</em> (Jørgensen 1899) Balech 1974 
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Protoperidinium</em> sp.
							</td>
							<td>
								-
							</td>
							<td>
								+
							</td>
						</tr>
						<tr>
							<td>
								
							</td>
							<td>
								<em>Scrippsiella</em> sp.
							</td>
							<td>
								+
							</td>
							<td>
								-
							</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
       	<table-wrap id="A2">
			<label>Appendix 2</label>
		<caption>
			<title>Asymmetrical analysis of variance ANOVA of the abundances of microalgae major groups on leaves of<em> P. oceanica</em> at prospected stations. C, control stations; D, polluted station; C vs D, control vs disturbed; n.s., not significant.</title>
		</caption>
		<table frame="hsides" rules="groups">
  <thead>

						<tr>
							<th>
							</th>
							<th>
								Df
							</th>
							<th>
								MS
							</th>
							<th>
								F
							</th>
							<th>
								p
							</th>
							<th>
								Tukey test
							</th>
						</tr>
						<tr>
							<th colspan="6">
								Total abundance; Cochran C test, C=0.525 ; p=0.418; no transformation
							</th>
						</tr>
  </thead>
				    <tbody>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								4.798E+09
							</td>
							<td>
								2.491
							</td>
							<td>
								0.124
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								8842240740.741
							</td>
							<td>
								4.284
							</td>
							<td>
								0.049
							</td>
							<td>
								D&gt;C
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								1189093888.889
							</td>
							<td>
								0.776
							</td>
							<td>
								0.391
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								7.260E+08
							</td>
							<td>
								0.377
							</td>
							<td>
								0.821
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								2.735E+09
							</td>
							<td>
								1.420
							</td>
							<td>
								0.284
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								1.926E+09
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Dinoflagellates; Cochran C test, C=0.571 ; p=0.237 ; no transformation
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								5.060E+09
							</td>
							<td>
								4.628
							</td>
							<td>
								0.032
							</td>
							<td>
								D&gt;C1=C2
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								8462518518.519
							</td>
							<td>
								5.470
							</td>
							<td>
								0.028
							</td>
							<td>
								D&gt;C
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								1905502222.222
							</td>
							<td>
								1.904
							</td>
							<td>
								0.187
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								5.492E+08
							</td>
							<td>
								0.502
							</td>
							<td>
								0.735
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								2.423E+09
							</td>
							<td>
								2.217
							</td>
							<td>
								0.113
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								1.093E+09
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Gymnodiniales; Cochran C test, C=0.561; p=0.116
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								95759537
							</td>
							<td>
								1.608
							</td>
							<td>
								0.240
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								151168935.185
							</td>
							<td>
								2.159
							</td>
							<td>
								0.154
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								40350138.889
							</td>
							<td>
								0.557
							</td>
							<td>
								0.466
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								20270509
							</td>
							<td>
								0.340
							</td>
							<td>
								0.846
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								111560463
							</td>
							<td>
								1.874
							</td>
							<td>
								0.167
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								59533519
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Peridiniales; Cochran C test, C=0.715; p=0.028; transformation, ln(x+1)
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								10041944
							</td>
							<td>
								0.587
							</td>
							<td>
								0.571
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								1983750.000
							</td>
							<td>
								0.136
							</td>
							<td>
								0.716
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								18100138.889
							</td>
							<td>
								0.979
							</td>
							<td>
								0.337
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								11465556
							</td>
							<td>
								0.670
							</td>
							<td>
								0.625
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								13913241
							</td>
							<td>
								0.813
							</td>
							<td>
								0.580
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								17121296
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Prorocentrales; Cochran C test, C=0.647 ; p=0.09; no transformation
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								
							</td>
							<td>
								3.167601E+09
							</td>
							<td>
								5.962
							</td>
							<td>
								0.016
							</td>
							<td>
								D&gt; C1=C2
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								5741226666.667
							</td>
							<td>
								6.977
							</td>
							<td>
								0.014
							</td>
							<td>
								D&gt;C
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								593975555.556
							</td>
							<td>
								1.884
							</td>
							<td>
								0.189
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								
							</td>
							<td>
								5.447331E+08
							</td>
							<td>
								1.025
							</td>
							<td>
								0.433
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								
							</td>
							<td>
								1.190675E+09
							</td>
							<td>
								2.241
							</td>
							<td>
								0.110
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								
							</td>
							<td>
								5.313210E+08
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Protoperidiniales; Cochran C test, C=0.846 ; p=0.00, transformation ln(x+1)
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								4.725
							</td>
							<td>
								3.195
							</td>
							<td>
								0.047
							</td>
							<td>
								D&gt;C1=C2
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								7.945
							</td>
							<td>
								5.260
							</td>
							<td>
								0.031
							</td>
							<td>
								D&gt;C
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								1.506
							</td>
							<td>
								1.018
							</td>
							<td>
								0.328
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								2.221
							</td>
							<td>
								1.502
							</td>
							<td>
								0.263
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								1.144
							</td>
							<td>
								0.773
							</td>
							<td>
								0.606
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								1.479
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Toxic dinoflagellates; Cochran C test, C=0.678 ; p=0.04; transformation ln(x+1)
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								6.605
							</td>
							<td>
								5.568
							</td>
							<td>
								0.019
							</td>
							<td>
								D&gt;C1=C2
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								5.449
							</td>
							<td>
								3.680
							</td>
							<td>
								0.043
							</td>
							<td>
								D&gt;C
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								0.002
							</td>
							<td>
								0.001
							</td>
							<td>
								0.975
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								0.491
							</td>
							<td>
								0.414
							</td>
							<td>
								0.795
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								1.933
							</td>
							<td>
								1.630
							</td>
							<td>
								0.222
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								1.186
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Diatoms; Cochran C test, C=0.811 ; p=0.001; transformation ln(x+1)
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								0.133
							</td>
							<td>
								0.299
							</td>
							<td>
								0.747
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								0.263
							</td>
							<td>
								0.950
							</td>
							<td>
								0.339
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								0.002
							</td>
							<td>
								0.006
							</td>
							<td>
								0.939
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								0.126
							</td>
							<td>
								0.284
							</td>
							<td>
								0.883
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								0.154
							</td>
							<td>
								0.348
							</td>
							<td>
								0.898
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								0.444
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
						<tr>
							<th colspan="6">
								Cyanobacteria; Cochran C test, C=0.485 ; p=0.045; transformation ln(x+1)
							</th>
						</tr>
						<tr>
							<td>
								station
							</td>
							<td>
								2
							</td>
							<td>
								1.095
							</td>
							<td>
								0.308
							</td>
							<td>
								0.741
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								C vs.D
							</td>
							<td>
								1
							</td>
							<td>
								6.154
							</td>
							<td>
								3.373
							</td>
							<td>
								0.078
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								among controls
							</td>
							<td>
								1
							</td>
							<td>
								1.689
							</td>
							<td>
								0.619
							</td>
							<td>
								0.443
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								site (station)
							</td>
							<td>
								4
							</td>
							<td>
								0.993
							</td>
							<td>
								0.279
							</td>
							<td>
								0.886
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								quadrat (site)
							</td>
							<td>
								6
							</td>
							<td>
								2.181
							</td>
							<td>
								0.612
							</td>
							<td>
								0.717
							</td>
							<td>
								n. s.
							</td>
						</tr>
						<tr>
							<td>
								residual
							</td>
							<td>
								12
							</td>
							<td>
								3.562
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
							<td>
								
							</td>
						</tr>
					</tbody>
				</table>
				</table-wrap>
				</app>
				</back>
	</article>			

