<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2022.136054</article-id><article-id pub-id-type="publisher-id">AJPS-118152</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Dominant Macroalgae in Bah&#237;a de Cochinos, Matanzas, Cuba
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yusimí</surname><given-names>Alfonso</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Patricia</surname><given-names>González Sánchez</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hansel</surname><given-names>Caballero Aragón</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pedro</surname><given-names>Chevalier</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jhoana</surname><given-names>Díaz-Larrea</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ruben</surname><given-names>Cabrera</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Unidad Iztapalapa, Departamento de Hidrobiología, Universidad Autónoma Metropolitana, Cd de México, México</addr-line></aff><aff id="aff1"><addr-line>Acuario Nacional de Cuba, La Habana, Cuba</addr-line></aff><aff id="aff3"><addr-line>Gabinete de Arqueología, Oficina del Historiador de la Ciudad, Habana Vieja, Cuba</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>06</month><year>2022</year></pub-date><volume>13</volume><issue>06</issue><fpage>797</fpage><lpage>814</lpage><history><date date-type="received"><day>8,</day>	<month>April</month>	<year>2022</year></date><date date-type="rev-recd"><day>26,</day>	<month>June</month>	<year>2022</year>	</date><date date-type="accepted"><day>29,</day>	<month>June</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Spatial-temporal variations of macroalgae were analyzed in a study conducted in Cueva de Los Peces (CP) and Punta Perdiz (PP), two dive sites located on the eastern coast of Bah&#237;a de Cochinos. The most conspicuous species found from 3 to 20 m depths were present in the biotopes of ridges and shallow and deep terraces. Sampling was carried out in September 2014, and March and October 2016 by autonomous diving and direct methods. Qualitative visual censuses and quantitative analyzes were used to estimate the coverage (%) of the genera according to the AGRRA methodology with the use of the 10 m linear transect and quadrats as the sampling unit. The first list of macroalgae fo
  r the area is offered that includes 49 taxa of which 10 were Rhodophyta, 10 Ochrophyta (Phaeophyceae)
  ,
   and 29 Chlorophyta. The dominant genera dur
  ing the study period were Halimeda, Dictyota, Lobophora
  ,
   and Udotea. Spatial differences were found regarding the specific composition. Temporal variations were evidenced in terms of the relative abundance of the genera present, which reveals temporal changes in the qualitative structure, where some species replace others. The information obtained is pioneering and can serve as a comparative baseline for future monitoring of the area.
 
</p></abstract><kwd-group><kwd>Cuba</kwd><kwd> Macroalgae</kwd><kwd> Spatial-Temporal Variations</kwd><kwd> Species List</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The eastern coast of Bah&#237;a de Cochinos, classified as a National Park, is located south of the province of Matanzas. This area is widely used as a recreational diving area, underwater video and photography, collection of species for aquaria, and teaching activities [<xref ref-type="bibr" rid="scirp.118152-ref1">1</xref>]. All this is possible because of the high aesthetic value of the coastal reef of the place; also, because it is an area protected from the waves, it allows diving at any time of the year [<xref ref-type="bibr" rid="scirp.118152-ref2">2</xref>].</p><p>Between 2002 and 2003, the National Aquarium of Cuba (ANC) carried out an evaluation of the main reef communities on the eastern coast of the Bah&#237;a de Cochinos [<xref ref-type="bibr" rid="scirp.118152-ref2">2</xref>]. From this study period, the results on stony coral communities [<xref ref-type="bibr" rid="scirp.118152-ref3">3</xref>], octocoral [<xref ref-type="bibr" rid="scirp.118152-ref4">4</xref>], fish [<xref ref-type="bibr" rid="scirp.118152-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref6">6</xref>], and sponges [<xref ref-type="bibr" rid="scirp.118152-ref7">7</xref>] have already been published. However, this area constitutes a knowledge gap concerning the diversity of marine macroalgae [<xref ref-type="bibr" rid="scirp.118152-ref8">8</xref>], and there is no study in space and time analyzing, specifically, the possible variations in the algal associations thereof.</p><p>The present work aims to provide information on the diversity of marine macroalgae in the area, mainly those associated with coral reefs that have not been previously studied. This study also aims to evaluate the variations in space and time of the same. Our results represent an important baseline for evaluating changes in benthic macroalgal assemblages due to increased local and global stressors and will serve as a reference for future research projects.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Area</title><p>The eastern coast of the Bah&#237;a de Cochinos presents a continuous coastal reef that extends approximately 15.53 miles along the coast homogeneously (from 22˚15'N, 81˚10'W to the 22˚05'N, 81˚05'W). The reef begins a few meters from the shore (9 to 16 m), between 3 and 9 m deep, the depth gradually increasing to about 32 - 49 m (about 656 m from the coast). From this point the slope falls sharply, forming an almost vertical wall that descends to about 262 m of depth.</p><p>This bay has no major polluting sources. There is only the mouth of the Soplillar Canal that comes from the Han&#225;bana River. Fertilizers are discharged into this waterway from the surrounding rice crops, although the exact quantities of these discharges are not known. It is not considered a highly polluted area, compared to the bay of Cienfuegos, also located in the southern platform of the country [<xref ref-type="bibr" rid="scirp.118152-ref9">9</xref>]. The extra supply of fresh water to the bay is considerable because of its proximity to the Ci&#233;naga de Zapata, the main reservoir of surface water in the region [<xref ref-type="bibr" rid="scirp.118152-ref10">10</xref>], which is also increased by the existence of numerous underground rivers [<xref ref-type="bibr" rid="scirp.118152-ref5">5</xref>].</p><p>The study area, located on the west coast of the Bah&#237;a de Cochinos to the south of the province of Matanzas, corresponds to the one cited by [<xref ref-type="bibr" rid="scirp.118152-ref5">5</xref>], with the stations corresponding to two sites: Cueva de Los Peces (CP) and Punta Perdiz (PP) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In both sites, there are three biotopes [coral hillock, shallow and deep terrace]. The one with coral hillocks whose depth ranges between nine and 19 m, and consists of a plain of sand with scattered hillocks. Also, the shallow terrace consists of a rocky bottom with many coral colonies and a depth of 26 to 32 m, and the deep one, with 49 m and has an extensive coral cover, a slope greater than the shallow and infinity of caves of different sizes.</p></sec><sec id="s2_2"><title>2.2. Methodology</title><p>Quantitative analyses were performed at a 32-foot depth on the shallow terrace in September 2014, March, and October 2016. For the estimation of the sample size, a pilot study was carried out to establish the number of sampling units to be used.</p><p>Four 32-foot-long transects were placed equidistant from each other according to the reef layout and bottom configuration. In each transect, 10 quadrats of 9.8 &#215; 9.8 inches were placed directly below the cord and perpendicular to the coastline [<xref ref-type="bibr" rid="scirp.118152-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref12">12</xref>].</p><p>Within each quadrat, the percentage of algal cover was estimated, identifying them to the lowest possible level. For the census of the present species, the most conspicuous macroalgal specimens were collected through autonomous diving and deposited in labeled bags. All the collected material was identified in the laboratory. All samples were preserved in 70% alcohol and deposited in the Marine Collections Department of the National Aquarium of Cuba (HANC).</p><p>The collections were made in the biotopes of coral hillocks, sandy bottoms, and the shallow and deep terraces (<xref ref-type="fig" rid="fig2">Figure 2</xref>), and the depths in each of the biotopes varied from 9 m in the hillocks to 65 m in the deep terraces.</p><p>Specialized identification guides were followed: [<xref ref-type="bibr" rid="scirp.118152-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref14">14</xref>] and [<xref ref-type="bibr" rid="scirp.118152-ref15">15</xref>] for the species determination. Scientific names were reviewed and updated by the [<xref ref-type="bibr" rid="scirp.118152-ref16">16</xref>] checklist and AlgaeBase [<xref ref-type="bibr" rid="scirp.118152-ref17">17</xref>].</p></sec><sec id="s2_3"><title>2.3. Data Analysis</title><p>Species identified in situ were grouped into genera for statistical analysis. Within each quadrat, the percentage of coverage of each genus was estimated. Using this data for the genera that contributed up to 95% of the coverage [<xref ref-type="bibr" rid="scirp.118152-ref18">18</xref>]. Permutational analyses of variance (PERMANOVA, [<xref ref-type="bibr" rid="scirp.118152-ref19">19</xref>], with a factor (months), were used to verify differences between CP and PP coverage. The Bray-Curtis index was used as a measure of similarity for the multivariate data matrix [<xref ref-type="bibr" rid="scirp.118152-ref19">19</xref>]. All statistical analyses were made from 9999 permutations to detect significant differences with a significance level of 0.05 according to [<xref ref-type="bibr" rid="scirp.118152-ref20">20</xref>]. The test of paired comparisons (Pair-Wise tests) carried out by the PERMANOVA was used for the multiple retrospective comparisons of the means.</p><p>The method proposed by [<xref ref-type="bibr" rid="scirp.118152-ref21">21</xref>] is used to determine the relative abundance values. To explore possible similarities between the sampling dates and the stations, a similarity matrix with the Bray-Curtis index was made with the data (not transformed) of relative macroalgal abundance.</p><p>With this matrix, a non-Metric Multidimensional Scaling (nMDS) ordering analysis was used. Similarity analysis of the contribution of taxa (SIMPER) was also performed to detect which groups; in this case, defined as genera will mark the differences between sampling stations.</p><p>The primary processing of the coverage data was done in a Microsoft Excel 2013 spreadsheet. The graphs, charts, and statistical calculations were obtained with the help of the programs STATISTICA 7.0 [<xref ref-type="bibr" rid="scirp.118152-ref22">22</xref>] and PRIMER 1.0.6 [<xref ref-type="bibr" rid="scirp.118152-ref23">23</xref>] and its version PERMANOVA 6.1.15 [<xref ref-type="bibr" rid="scirp.118152-ref19">19</xref>].</p></sec></sec><sec id="s3"><title>3. Results</title><p>A total of 49 taxa were collected, grouped into 11 orders, 17 families, and 27 genera, and distributed 10 in Rhodophyta, 10 Ochrophyta (Phaeophyceae), and 29 Chlorophyta. They are taxonomically organized in Appendix I.</p><p>The nMDS graph of the relative abundance of macroalgal genera showed spatial ordering more clearly than the temporal. Punta Perdiz (PP) was characterized by its greater abundance of Lobophora, Dictyota and Halimeda, while Cueva de Los Peces showed a greater predominance of Halimeda and Udotea (<xref ref-type="fig" rid="fig3">Figure 3</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref>). For the check of the summed values of relative abundance in the sampling units and their contribution percentage refer to Appendix II.</p><p>Species composition and relative abundance by season were determined. <xref ref-type="table" rid="table1">Table 1</xref> presents the mean values by sample units for the genera that constituted 95% of the total of individuals in each of the times of the year, ordered in a decreasing way according to their abundance. The most abundant genera in space and time were: Halimeda, Dictyota, Lobophora and Udotea.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Summary of macroalgal relative abundance values (%) in descending order (95% of the total identified species grouped by genera are presented). Cueva de Los Peces (CP), Punta Perdiz (PP)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Data</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >SEP 14</th><th align="center" valign="middle"  colspan="2"  >MAR 16</th><th align="center" valign="middle"  colspan="2"  >OCT 16</th></tr></thead><tr><td align="center" valign="middle" >Genera</td><td align="center" valign="middle" >Acronym</td><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >PP</td></tr><tr><td align="center" valign="middle" >Halimeda</td><td align="center" valign="middle" >HAL</td><td align="center" valign="middle" >18.9</td><td align="center" valign="middle" >22.5</td><td align="center" valign="middle" >30.4</td><td align="center" valign="middle" >26.9</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >23</td></tr><tr><td align="center" valign="middle" >Dictyota</td><td align="center" valign="middle" >DICT</td><td align="center" valign="middle" >14.2</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >26.4</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >22.2</td></tr><tr><td align="center" valign="middle" >Lobophora</td><td align="center" valign="middle" >LOB</td><td align="center" valign="middle" >7.18</td><td align="center" valign="middle" >20.9</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >37.3</td><td align="center" valign="middle" >11.2</td><td align="center" valign="middle" >25.7</td></tr><tr><td align="center" valign="middle" >Udotea</td><td align="center" valign="middle" >UDO</td><td align="center" valign="middle" >19.1</td><td align="center" valign="middle" >4.68</td><td align="center" valign="middle" >20.9</td><td align="center" valign="middle" >2.61</td><td align="center" valign="middle" >12.7</td><td align="center" valign="middle" >5.8</td></tr><tr><td align="center" valign="middle" >Penicillus</td><td align="center" valign="middle" >PEN</td><td align="center" valign="middle" >5.29</td><td align="center" valign="middle" >5.85</td><td align="center" valign="middle" >4.95</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Rhipocephalus</td><td align="center" valign="middle" >RHI</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Amphiroa</td><td align="center" valign="middle" >AMP</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >3.69</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Jania</td><td align="center" valign="middle" >JAN</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4.13</td><td align="center" valign="middle" >5.67</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >14.7</td></tr><tr><td align="center" valign="middle" >Bryopsis</td><td align="center" valign="middle" >BRY</td><td align="center" valign="middle" >4.15</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >5.93</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Microdictyon</td><td align="center" valign="middle" >MIC</td><td align="center" valign="middle" >1.13</td><td align="center" valign="middle" >1.54</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Peyssonnelia</td><td align="center" valign="middle" >PEY</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2.58</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Valonia</td><td align="center" valign="middle" >VAL</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >7.81</td><td align="center" valign="middle" >0.19</td></tr><tr><td align="center" valign="middle" >Filamentous</td><td align="center" valign="middle" >FIL</td><td align="center" valign="middle" >12.1</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >16.7</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Padina</td><td align="center" valign="middle" >PAD</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Codium</td><td align="center" valign="middle" >COD</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >1.52</td></tr><tr><td align="center" valign="middle" >Sargassum</td><td align="center" valign="middle" >SAR</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >16.8</td><td align="center" valign="middle" >6.83</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6.94</td></tr><tr><td align="center" valign="middle" >Total coverage</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >42.71</td><td align="center" valign="middle" >58.04</td><td align="center" valign="middle" >27.69</td><td align="center" valign="middle" >36.85</td><td align="center" valign="middle" >48.84</td><td align="center" valign="middle" >65.90</td></tr></tbody></table></table-wrap><p><xref ref-type="fig" rid="fig5">Figure 5</xref> shows graphically which are the groups of species included in the variable others (see details in <xref ref-type="fig" rid="fig4">Figure 4</xref>), and that complete the information provided by the four dominant genera: Halimeda, Dictyota, Lobophora, and Udotea. The highest coverage values for dominant genera were observed in October 2016 and the lowest in September 2016. The highest coverage of Halimeda was observed in March 2016 for Punta Perdiz. For its part, Cueva de Los Peces, the months of March and October were the most abundant for this genus.</p><p>Although the dominance of Halimeda, Dictyota, Lobophora, and Udotea is unequivocal throughout the three months sampled, the lowest coverage values for these were found in September 2014 for both sampling sites, where there was greater coverage of other genera (<xref ref-type="fig" rid="fig5">Figure 5</xref>(A), <xref ref-type="fig" rid="fig5">Figure 5</xref>(B)).</p><p>Udotea was another genus that was observed with moderate abundance. Its highest coverage was observed in March 2016 for Cueva de Los Peces and the lowest in October 2016. However, in Punta Perdiz the highest coverage of this genus was observed in October 2016 and the lowest in March 2016.</p><p>The genera Lobophora and Dictyota were noted for their high relative abundance values (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig4">Figure 4</xref> and <xref ref-type="fig" rid="fig5">Figure 5</xref>). The highest coverage of Lobophora was observed in March 2016 for both stations and the lowest in September 2014. For Dictyota there was greater coverage in March 2016 in PP, and October 2016 in CP, in contrast, the lowest values for this genre were found in October 2016 for Punta Perdiz and March 2016 for Cueva de Los Peces.</p><p>These results were supported by the values obtained in the analysis of variance of relative abundance, where significant differences were found between the sites (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Routine SIMPER analysis shows the genres that contributed most to the seasonal differences in relative abundance between sampling dates (<xref ref-type="table" rid="table3">Table 3</xref>, <xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Result of the analysis of variance for each variable. Cueva de Los Peces (CP), Punta Perdiz (PP). Significant differences are indicated in red</title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="8"  >PERMANOVA Sites</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Unique</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Source</td><td align="center" valign="middle" >df</td><td align="center" valign="middle" >SS</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >Pseudo-F</td><td align="center" valign="middle" >P(perm)</td><td align="center" valign="middle" >perms</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sites</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >39,153</td><td align="center" valign="middle" >39,153</td><td align="center" valign="middle" >15.986</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9951</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Res</td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >5.51E+05</td><td align="center" valign="middle" >2449.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >226</td><td align="center" valign="middle" >5.90E+05</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="8"  >PERMANOVA Months</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Unique</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Source</td><td align="center" valign="middle" >df</td><td align="center" valign="middle" >SS</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >Pseudo-F</td><td align="center" valign="middle" >P(perm)</td><td align="center" valign="middle" >perms</td><td align="center" valign="middle" >P(MC)</td></tr><tr><td align="center" valign="middle" >Monts</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >30,114</td><td align="center" valign="middle" >15,057</td><td align="center" valign="middle" >60,215</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9932</td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Res</td><td align="center" valign="middle" >224</td><td align="center" valign="middle" >5.60E+09</td><td align="center" valign="middle" >2500.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >226</td><td align="center" valign="middle" >5.90E+09</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="8"  >PERMANOVA Sites x Months</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Unique</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Source</td><td align="center" valign="middle" >df</td><td align="center" valign="middle" >SS</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >Pseudo-F</td><td align="center" valign="middle" >P(perm)</td><td align="center" valign="middle" >perms</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sites</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >39,153</td><td align="center" valign="middle" >39,153</td><td align="center" valign="middle" >17,202</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9941</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Months</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >28,993</td><td align="center" valign="middle" >14,497</td><td align="center" valign="middle" >6.3692</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9922</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sites x Months</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >19,081</td><td align="center" valign="middle" >9540.6</td><td align="center" valign="middle" >4.1918</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9931</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Res</td><td align="center" valign="middle" >221</td><td align="center" valign="middle" >5.03E+05</td><td align="center" valign="middle" >2276</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >226</td><td align="center" valign="middle" >5.90E+05</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="2_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Relative Abundance of Macroalgae</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >CP</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Pseudo-F</td><td align="center" valign="middle" >P(perm)</td><td align="center" valign="middle" >perms</td><td align="center" valign="middle" >Pseudo-F</td><td align="center" valign="middle" >P(perm)</td><td align="center" valign="middle" >perms</td></tr><tr><td align="center" valign="middle" >4.7813</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9927</td><td align="center" valign="middle" >4.581</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >9937</td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Contribution of macroalgae genres that provided up to 20% similarity in each site and month of the study area (from the SIMPER routine) and the average similarity within each</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Site</th><th align="center" valign="middle" >Genera</th><th align="center" valign="middle" >Average similarity</th></tr></thead><tr><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >Halimeda, Udotea</td><td align="center" valign="middle" >26.02</td></tr><tr><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >Halimeda, Lobophora, Dictyota</td><td align="center" valign="middle" >29.07</td></tr><tr><td align="center" valign="middle" >Months</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sep 2014</td><td align="center" valign="middle" >Halimeda, Dictyota</td><td align="center" valign="middle" >22.79</td></tr><tr><td align="center" valign="middle" >Mar 2016</td><td align="center" valign="middle" >Halimeda, Lobophora, Dictyota</td><td align="center" valign="middle" >24.25</td></tr><tr><td align="center" valign="middle" >Oct 2016</td><td align="center" valign="middle" >Halimeda, Lobophora, Dictyota</td><td align="center" valign="middle" >44.72</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Decomposition of the mean Dissimilarity and the contribution of each genus of macroalgae in descending order (%), obtained from the SIMPER routine, in comparisons between site pairs and months in the study area with the scores given by the presence of macroalgae. Only those that contributed at least 50% of the accumulated average dissimilarity (DM) are presented. In bold are the highest values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Genera</th><th align="center" valign="middle" >Average score Site 1</th><th align="center" valign="middle" >Average score Site 2</th><th align="center" valign="middle" >Contribution to mean Dissimilarity</th><th align="center" valign="middle" >Accumulated</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >CP</td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >Average Dissimilarity = 74.18</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >LOB</td><td align="center" valign="middle" >4.86</td><td align="center" valign="middle" >14.42</td><td align="center" valign="middle" >22.32</td><td align="center" valign="middle" >22.32</td></tr><tr><td align="center" valign="middle" >HAL</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >12.33</td><td align="center" valign="middle" >20.99</td><td align="center" valign="middle" >43.31</td></tr><tr><td align="center" valign="middle" >DICT</td><td align="center" valign="middle" >5.66</td><td align="center" valign="middle" >12.29</td><td align="center" valign="middle" >20.17</td><td align="center" valign="middle" >63.47</td></tr><tr><td align="center" valign="middle" >UDO</td><td align="center" valign="middle" >6.64</td><td align="center" valign="middle" >2.29</td><td align="center" valign="middle" >11.99</td><td align="center" valign="middle" >75.46</td></tr><tr><td align="center" valign="middle" >FIL</td><td align="center" valign="middle" >4.52</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >7.37</td><td align="center" valign="middle" >82.83</td></tr><tr><td align="center" valign="middle" >JAN</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >4.08</td><td align="center" valign="middle" >6.47</td><td align="center" valign="middle" >89.3</td></tr><tr><td align="center" valign="middle" >PEN</td><td align="center" valign="middle" >1.13</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle" >3.21</td><td align="center" valign="middle" >92.51</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >SEP 14</td><td align="center" valign="middle" >MAR 16</td><td align="center" valign="middle" >Average Dissimilarity = 77.93</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HAL</td><td align="center" valign="middle" >10.42</td><td align="center" valign="middle" >9.34</td><td align="center" valign="middle" >21.97</td><td align="center" valign="middle" >21.97</td></tr><tr><td align="center" valign="middle" >LOB</td><td align="center" valign="middle" >7.37</td><td align="center" valign="middle" >10.66</td><td align="center" valign="middle" >21.87</td><td align="center" valign="middle" >43.83</td></tr><tr><td align="center" valign="middle" >DICT</td><td align="center" valign="middle" >9.8</td><td align="center" valign="middle" >7.47</td><td align="center" valign="middle" >20.82</td><td align="center" valign="middle" >64.66</td></tr><tr><td align="center" valign="middle" >UDO</td><td align="center" valign="middle" >5.58</td><td align="center" valign="middle" >2.84</td><td align="center" valign="middle" >12.74</td><td align="center" valign="middle" >77.39</td></tr><tr><td align="center" valign="middle" >FIL</td><td align="center" valign="middle" >4.92</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >7.39</td><td align="center" valign="middle" >84.78</td></tr><tr><td align="center" valign="middle" >PEN</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >5.79</td><td align="center" valign="middle" >90.57</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >SEP 14</td><td align="center" valign="middle" >OCT 16</td><td align="center" valign="middle" >Average Dissimilarity = 69.90</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HAL</td><td align="center" valign="middle" >10.42</td><td align="center" valign="middle" >15.17</td><td align="center" valign="middle" >19.35</td><td align="center" valign="middle" >19.35</td></tr><tr><td align="center" valign="middle" >LOB</td><td align="center" valign="middle" >7.37</td><td align="center" valign="middle" >11.35</td><td align="center" valign="middle" >18.57</td><td align="center" valign="middle" >37.92</td></tr><tr><td align="center" valign="middle" >DICT</td><td align="center" valign="middle" >9.8</td><td align="center" valign="middle" >10.91</td><td align="center" valign="middle" >18.31</td><td align="center" valign="middle" >56.23</td></tr><tr><td align="center" valign="middle" >UDO</td><td align="center" valign="middle" >5.58</td><td align="center" valign="middle" >4.97</td><td align="center" valign="middle" >11.99</td><td align="center" valign="middle" >68.21</td></tr><tr><td align="center" valign="middle" >FIL</td><td align="center" valign="middle" >4.92</td><td align="center" valign="middle" >3.97</td><td align="center" valign="middle" >10.5</td><td align="center" valign="middle" >78.71</td></tr><tr><td align="center" valign="middle" >JAN</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >4.96</td><td align="center" valign="middle" >6.97</td><td align="center" valign="middle" >85.68</td></tr><tr><td align="center" valign="middle" >PEN</td><td align="center" valign="middle" >2.8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3.94</td><td align="center" valign="middle" >89.62</td></tr><tr><td align="center" valign="middle" >BRY</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >1.41</td><td align="center" valign="middle" >3.21</td><td align="center" valign="middle" >92.83</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >MAR 16</td><td align="center" valign="middle" >OCT 16</td><td align="center" valign="middle" >Average Dissimilarity = 69.48</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >HAL</td><td align="center" valign="middle" >9.34</td><td align="center" valign="middle" >15.17</td><td align="center" valign="middle" >22.94</td><td align="center" valign="middle" >22.94</td></tr><tr><td align="center" valign="middle" >LOB</td><td align="center" valign="middle" >10.66</td><td align="center" valign="middle" >11.35</td><td align="center" valign="middle" >21.99</td><td align="center" valign="middle" >44.92</td></tr><tr><td align="center" valign="middle" >DICT</td><td align="center" valign="middle" >7.47</td><td align="center" valign="middle" >10.91</td><td align="center" valign="middle" >19.87</td><td align="center" valign="middle" >64.79</td></tr><tr><td align="center" valign="middle" >UDO</td><td align="center" valign="middle" >2.84</td><td align="center" valign="middle" >4.97</td><td align="center" valign="middle" >10.37</td><td align="center" valign="middle" >75.16</td></tr><tr><td align="center" valign="middle" >JAN</td><td align="center" valign="middle" >1.72</td><td align="center" valign="middle" >4.96</td><td align="center" valign="middle" >9.13</td><td align="center" valign="middle" >84.28</td></tr><tr><td align="center" valign="middle" >FIL</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3.97</td><td align="center" valign="middle" >6.97</td><td align="center" valign="middle" >91.25</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>The macroalgae collected in this study are among the most conspicuous among those present on the Cuban platform [<xref ref-type="bibr" rid="scirp.118152-ref24">24</xref>]. Despite having been sampled for a short time, a list of species for the eastern coast of Bah&#237;a de Cochinos is achieved for the first time, as well as new records provided by [<xref ref-type="bibr" rid="scirp.118152-ref25">25</xref>], which demonstrates the potential of the area as a source of biodiversity. It is to be expected that from repetitive collections over time, more species can be found, due to the temporal variability presented by these organisms.</p><p>The collections were mostly on a rocky bottom with a thin layer of sediments, in hillocks and the sand. They were found dominating the typical reef species and found in other areas of the Cuban and Caribbean shelf in general [<xref ref-type="bibr" rid="scirp.118152-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref28">28</xref>]. The families Halimedaceae and Udoteaceae within the Chlorophyta were the most common, which is consistent with studies conducted in the South-Central region of Cuba [<xref ref-type="bibr" rid="scirp.118152-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref30">30</xref>].</p><p>The multidimensional scaling reflects a slight difference between the two macroalgae communities within the studied area. However, there is a similarity between the genera (especially the dominant ones: Halimeda, Lobophora, Dictyota and Udotea) within these seasons, which is reinforced by a stress value of 0.25 (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Possibly this is due to the spatial proximity of both sites contributing to an exchange of spores or gametes. However, differences in the specific composition are evident, possibly due to natural factors such as water movement. The station Punta Perdiz (PP) is the closest to the open sea and therefore with a greater influence on marine circulation. This reaffirms that the spatial component is more remarkable and determinant than the temporal one according to the results of [<xref ref-type="bibr" rid="scirp.118152-ref31">31</xref>] for sites with different degrees of tidal influence or mechanical damage, or different types of substrates [<xref ref-type="bibr" rid="scirp.118152-ref32">32</xref>].</p><p>The temporal variations were evidenced in terms of the relative abundance of the species present, but not in terms of diversity, which evidences seasonal changes in the qualitative structure, where some species replace others in the community. Among the months, March presents the lowest values of abundance, a result that coincides with the observations of other authors [<xref ref-type="bibr" rid="scirp.118152-ref33">33</xref>]. According to the results of [<xref ref-type="bibr" rid="scirp.118152-ref24">24</xref>] in that month, there are changes in the structure of algal communities. In addition, in the months of September-October there is a decrease in macroalgal species, as there are transition periods between peaks of abundance. So having found a greater coverage in these months could be due to a greater sampling effort [<xref ref-type="bibr" rid="scirp.118152-ref34">34</xref>].</p><p>The algae of the genera Halimeda and Udotea that correspond to the calcareous morphotype were the dominant algal morphotype. This group is composed of species with slow growth and abundant calcium carbonate, typical of areas with low levels of nutrients and with optimal conditions for coral development. At Punta Perdiz (PP), these presented significant differences, unlike their counterpart of the site Cueva de Los Peces (CP), with less tidal influence. This is consistent with the results of [<xref ref-type="bibr" rid="scirp.118152-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref36">36</xref>], who argue that these are dominant over other macroalgal groups in low-nutrient conditions and higher ocean churning [<xref ref-type="bibr" rid="scirp.118152-ref37">37</xref>]. Yet, despite this research, basic aspects of the ecology of most Halimeda and Udotea species remain poorly understood, often because opportunities for conducting long-term field research have been limited [<xref ref-type="bibr" rid="scirp.118152-ref38">38</xref>]. Similarly [<xref ref-type="bibr" rid="scirp.118152-ref35">35</xref>] they argue that this morphofunctional group is one of the historically dominant in reefs with normal conditions.</p><p>In the months of September to October the highest coverage values were recorded for Halimeda which coincides with the rainy season. Meanwhile, the lowest coverage values for Halimeda were found from November to April. These results coincide with those obtained by [<xref ref-type="bibr" rid="scirp.118152-ref36">36</xref>] who argued that chlorophylls are more predominant in this period.</p><p>Lobophora was another genus that was abundant in the rainy season and had its lowest values in the dry season. Both this genus and Dictyota, also dominant, belong to the least grazed algal groups because they avoid herbivory through morphological or physiological adaptations [<xref ref-type="bibr" rid="scirp.118152-ref39">39</xref>]. Dictyota also prevails in places where the waves are more intense [<xref ref-type="bibr" rid="scirp.118152-ref33">33</xref>].</p><p>The highest coverage of Dictyota, by contrast, was observed in the dry season and the lowest in rain. However, [<xref ref-type="bibr" rid="scirp.118152-ref40">40</xref>] found for the Canas&#237; reef that this genus contributed the most to the percentage of coverage in almost every month. Other authors such as [<xref ref-type="bibr" rid="scirp.118152-ref33">33</xref>] argue that dominance of Dictyota throughout the year and variations in its abundance due to increased nutrients have been found in other reefs in Cuba and the Caribbean. In addition, this genus is considered an annual and without seasonal variations, although with generations in succession throughout the Caribbean region [<xref ref-type="bibr" rid="scirp.118152-ref41">41</xref>].</p><p>Coral reefs have changed radically in recent decades [<xref ref-type="bibr" rid="scirp.118152-ref42">42</xref>]. In the Caribbean now the average is 13% coral cover and 40% macroalgae cover [<xref ref-type="bibr" rid="scirp.118152-ref43">43</xref>]. Unlike other regions of the Caribbean where the main contributors of biomass are brown algae e.g., Dictyota and Lobophora [<xref ref-type="bibr" rid="scirp.118152-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.118152-ref45">45</xref>] at both sites, it is established that the largest contribution is in calcareous algae such as Halimeda and Udotea, which corresponds to the results of [<xref ref-type="bibr" rid="scirp.118152-ref46">46</xref>]. Studies on the influence of herbivorous fish on species control showed that many species prefer tiny algae over more robust species [<xref ref-type="bibr" rid="scirp.118152-ref47">47</xref>].</p></sec><sec id="s5"><title>5. Conclusions</title><p>As stated in the evaluations carried out (coverage by genus). This work also produced significant new scientific knowledge on key genera in reef ecosystems, and towards the development of standardized biodiversity monitoring protocols for various genera of macroalgae.</p><p>In addition to presenting a list of species, other contributions of our results are to offer a rapid evaluation without requiring a lengthy study needed for the identification of species, and secondly, to present the genera that, due to their coverage, better explain the structure of the community.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This work was carried out thanks to the Research Project “Dynamics in benthic coral reef communities subjected to different degrees of environmental severity” led by the National Aquarium of Cuba. We are very grateful to Michael Wynne for their critical comments on the manuscript.</p></sec><sec id="s7"><title>Roles by Authors</title><p>YA &amp; PGS conceived and designed the experiments, analyzed the data, prepared figures, and reviewed all manuscript drafts. HCA &amp; PC project coordination and logistics. JDL prepared figures and worked on conceptualization and analysis. RC contributed to data analysis, and reviewed all drafts for this manuscript. All authors have read and agreed to the version of the manuscript submitted.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Alfonso, Y., S&#225;nchez, P.G., Arag&#243;n, H.C., Chevalier, P., D&#237;az-Larrea, J. and Cabrera, R. (2022) Dominant Macroalgae in Bah&#237;a de Cochinos, Matanzas, Cuba. American Journal of Plant Sciences, 13, 797-814. https://doi.org/10.4236/ajps.2022.136054</p></sec><sec id="s10"><title>Appendix I. Checklist of Species Found in the Study Area</title><p>Phylum OCHROPHYTA</p><p>Class Phaeophyceae</p><p>Order Dictyotales</p><p>Family Dictyotaceae</p><p>Dictyotabartayresiana J. V. Lamouroux</p><p>D.caribaea H&#246;rnig &amp; Schnetter</p><p>D.ciliolata Sonder ex K&#252;tzing</p><p>D.mertensii (Martius) K&#252;tzing</p><p>D.pinnatifida K&#252;tzing</p><p>D.pulchella H&#246;rnig &amp; Schnetter</p><p>Lobophoracf.variegata (J. V. Lamouroux) Womersley ex E. C. Oliveira</p><p>Padinaboergesenii Allender &amp; Kraft</p><p>Stypopodiumzonale (J. V. Lamouroux) Papenfuss</p><p>Order Fucales</p><p>Family Sargassaceae</p><p>Sargassumhystrix J. Agardh</p><p>Phylum RHODOPHYTA</p><p>Subphylum Eurhodophytina</p><p>Class Floridophycidae</p><p>Subclass Corallinophycidae</p><p>Order Corallinales</p><p>Family Corallinaceae</p><p>Subfamily Corallinoideae</p><p>JaniaadhaerensJ. V. Lamouroux</p><p>Subfamily Lithophyloideae</p><p>Amphiroafragilissima (Linnaeus) J. V. Lamouroux</p><p>A.rigida J.V. Lamouroux</p><p>A.tribulus (J. Ellis &amp; Solander) J. V. Lamouroux</p><p>Subclass Nemaliophyceae</p><p>Order Nemaliales</p><p>Family Galaxauraceae</p><p>Dichotomariaobtusata (J. Ellis &amp; Solander) Lamarck</p><p>Galaxaurasp</p><p>Subclass Rhodymeniophycidae</p><p>Order Ceramiales</p><p>Family Delesseriaceae</p><p>DasyaramossissimaHarvey</p><p>Family Wrangeliaceae</p><p>Wrangeliabicuspidata B&#248;rgesen</p><p>Order Peyssonneliales</p><p>Family Peyssonneliaceae</p><p>Peyssonneliasp.</p><p>Order Rhodymeniales</p><p>Family Champiaceae</p><p>Champiasalicornioides Harvey</p><p>Phylum CHLOROPHYTA</p><p>Class Ulvophyceae</p><p>Order Bryopsidales</p><p>Family Bryopsidaceae</p><p>Bryopsishypnoides J. V. Lamouroux</p><p>B.pennataJ. V. Lamouroux</p><p>Family Caulerpaceae</p><p>Caulerparacemosa (Forssk&#229;l) J. Agardh</p><p>Family Codiaceae</p><p>Codiumdecorticatum (Woodward) M. Howe</p><p>Family Dichotomosiphonaceae</p><p>Avrainvilleaasarifolia B&#248;rgesen</p><p>Avrainvilleanigricansf.parva D. Littler &amp; Littler</p><p>Family Halimedaceae</p><p>HalimedacopiosaGoreau &amp; E. A. Graham</p><p>Halimedadiscoidea Decaisne</p><p>HalimedagracilisHarvey ex J. Agardh</p><p>HalimedagoreauiW. R. Taylor</p><p>Halimedamonile(J. Ellis &amp; Solander) J. V. Lamouroux</p><p>Halimedaopuntia(Linnaeus) J. V. Lamouroux</p><p>Halimedatuna(J. Ellis &amp; Solander) J. V. Lamouroux</p><p>Family Udoteaceae</p><p>Penicilluspyriformis A. Gepp &amp; E. Gepp</p><p>Penicilluspyriformis f.explanatus B&#248;rgesen</p><p>Rhipidosiphon floridensis D. Littler &amp; Littler</p><p>Rhipocephalusphoenixf.longifolius A. Gepp &amp; E. Gepp</p><p>Udoteacyathiformis Decaisne</p><p>Udoteacyathiformisf.infundibulum (J. Agardh) D. S. Littler &amp; Littler</p><p>Udoteacyathiformisf.sublittoralis (W. R. Taylor) D. S. Littler &amp; Littler</p><p>Udoteacyathiformisvar.flabellifolia D. S. Littler &amp; Littler</p><p>Udoteanorrisii D. S. Littler &amp; Littler</p><p>Udoteaunistratea D. S. Littler &amp; Littler</p><p>Orden Cladophorales</p><p>Family Anadyomenaceae</p><p>Anadyomenestellata (Wulfen) C. Agardh</p><p>Microdictyonsp.</p><p>Family Cladophoraceae</p><p>Cladophoraprolifera (Roth) K&#252;tzing</p><p>Family Valoniaceae</p><p>Valoniamacrophysa K&#252;tzing</p><p>Valonia ventricosa J. Agardh</p><p>Orden Ulvales</p><p>Family Ulvaceae</p><p>Ulvalactuca Linnaeus</p></sec><sec id="s11"><title>Appendix II. Total Values of Relative Abundance and Their Contribution in Percentage</title></sec></body><back><ref-list><title>References</title><ref id="scirp.118152-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Caballero, H., Chevalier, P., Varona, G., Cárdenas, A.L., Pastor, L., Pérez-Hernández, A. and García, Y. (2004) Componentes más comunes de la fauna del arrecife de coral de la costa oriental de Bahía de Cochinos, Cuba: Corales, esponjas, gorgonáceos y peces. 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