Figure 1.
A Chettuva Mangrove map showing eight different sites of collection.
Citation: Gaurav Gupta, Varun Danke, Tamoor Babur, Mario Beiner. Morphology orientation of comb-like polymers with rigid backbones under the influence of shear fields[J]. AIMS Materials Science, 2017, 4(4): 970-981. doi: 10.3934/matersci.2017.4.970
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Mangroves are a precise coastal ecosystem contributing as a wealthy store of resident biodiversity. The diversity of the benthic infauna is largely underestimated and must undergo regular revision in order to detect and monitor changes of benthic communities within the area.
The benthic communities constitute a dominant component that supports habitat productivity to a greater extent. Due to this, the species composition may negatively affect the resident community and consequently impact trophic relationships within these communities as a result of any activity exerted, causing a change for sediment features [1,2]. Zainal et al. and Ali et al. pointed out that the macrobenthic faunal diversity around the Huwar islands [3,4] and Bahrain are very important in ecosystem balancing. Other regions, such as Europe [5,6], North America [7,8] and South Africa, have produced monographs for faunal identification [9]. However, most of the benthic faunal communities have not yet been thoroughly explored in India.
Kerala is gifted with a long coastal line and extensive estuaries. Estuarine water contains a rich supply of nutrients. No comprehensive study has been done so far on benthic infaunal biodiversity and abundance in this Chettuva mangrove area.
The present study was designed to characterize the benthic infauna community of eight different sites in Chettuva mangrove, Kerala, as seen in Figure 1. Biological samples from each station, three replicate samples, were collected using benthic grab sampler. The procedure adopted for sampling was following the method of Mackie [10]. After collecting the samples, they were emptied into a plastic tray. The larger organisms were handpicked (extracted) immediately from the sediments and then sieved through 0.5 mm mesh screen. The organisms retained by the sieve were placed in a labelled container and fixed in 5%–7% formalin. Subsequently, the organisms were stained with Rose Bengal solution (0.1 g in 100 ml of distilled water) for greater visibility during sorting. All the species were sorted, enumerated and identified to the advanced possible level with the consultation of available literature. The works of Fauvel and Day and http://www.marinespecies.org/polychaeta/ were referred for identification [11].
Statistical software was used to analyze the data obtained from different sites [12]. This was done using various statistical methods, such as univariate, multivariate and graphical/distributional methods. Biodiversity indices were calculated for the infaunal community, which included diversity index (H') using the method of Shannon-Wiener's [13] formula, species richness (d) using the Margalef [14] formula and species evenness (J') using the Pielou [15] formula. Similarities (or dissimilarities) between sites were obtained showing the interrelationships of all through an MDS plot (non-metric Multi-Dimensional Scaling) [16,17]. Cluster analysis was also done to calculate the similarities. All the various statistical methodologies and calculations were obtained through the software PRIMER V7 (Plymouth Routines in Multivariate Ecological Research) developed by Plymouth Marine Laboratory.
A total of 339 organisms were identified from eight samples, spanning 40 taxa from four phyla (Tables 1 & 2), representing an average of 42 specimens per sample. The species composition by phylum within the Chettuva Mangrove area was predominated by annelids with 72.27% (Figure 2). Arthropods formed the second most important group, represented by 15.93%. Mollusca constituted 9.73%, and the fourth important group was the Echinodermata, which comprised of 2.06%. Annelids composed the majority of the infaunal species composition (Table 1).
| Phylum | Number of Taxa | Relative abundance (%) |
| Annelida | 22 | 72.27 |
| Arthropoda | 13 | 15.93 |
| Mollusca | 4 | 9.73 |
| Echinodermata | 1 | 2.06 |
| Total | 40 | 100 |
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| Taxon | SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 |
| Golfingia sp. | - | 4 | 1 | - | - | - | 1 | 4 |
| Sipunculidae | - | 1 | - | 2 | - | 1 | - | - |
| Phascolosoma sp. | - | 1 | 1 | - | 1 | - | - | - |
| Phyllodocidae | 1 | - | 1 | - | - | 1 | - | - |
| Nephtyidae | - | - | - | - | - | 1 | 3 | - |
| Syllidae | 1 | 2 | - | - | 3 | - | 5 | - |
| Nereididae | - | - | 2 | - | - | 4 | - | 1 |
| Sigalionidae | - | 2 | - | 3 | - | - | - | - |
| Polynoidae | 1 | - | - | - | 1 | - | - | - |
| Glyceridae | 2 | - | - | 1 | 3 | - | - | - |
| Maldanidae | - | 1 | - | - | - | - | - | - |
| Lumbrineridae | 2 | 1 | - | 5 | 1 | 1 | 3 | 2 |
| Opheliidae | 1 | 2 | 3 | 1 | 5 | 9 | 2 | 1 |
| Spionidae | 1 | - | 10 | 9 | 2 | 1 | - | 1 |
| Capitellidae | 20 | 14 | 5 | 6 | 5 | 4 | 8 | 6 |
| Magelonidae | - | - | - | - | - | - | - | 1 |
| Orbiniidae | 1 | 8 | - | - | 1 | 3 | 5 | - |
| Terebellidae | 1 | 1 | 3 | 2 | 1 | 4 | 2 | 8 |
| Flabelligeridae | - | - | - | - | - | - | - | - |
| Cirratulidae | 1 | - | - | - | - | 1 | - | - |
| Amphinomidae | - | - | 2 | - | - | - | - | - |
| Sabellidae | 3 | 1 | - | 4 | 1 | 2 | 1 | 1 |
| Anoplodactylus sp. | 2 | 4 | 1 | - | 5 | 1 | 6 | 1 |
| Hyalidae | - | 1 | - | - | - | - | 1 | - |
| Melitidae | - | - | - | 3 | - | - | 4 | - |
| Isaeidae | - | - | - | - | - | - | - | 1 |
| Ampeliscidae | - | - | - | - | - | - | 1 | 1 |
| Urothoe brevicornis | - | - | - | - | - | - | 2 | - |
| Leptanthuridae | - | - | - | - | - | - | - | 1 |
| Accalathura borradailei | - | - | - | - | - | 1 | - | - |
| Cirolanidae | - | - | - | - | - | - | - | - |
| Bodotriidae | - | - | - | - | - | - | 2 | - |
| Paranebalia sp. | - | - | - | - | - | - | 1 | - |
| Apseudidae | - | - | - | 8 | - | 1 | 5 | - |
| Paratanaidae | - | - | - | - | - | - | 1 | - |
| Amphiuridae | 1 | 1 | 1 | 1 | 1 | - | - | 2 |
| Ancillariidae | - | 1 | 1 | - | 4 | 2 | 1 | 3 |
| Pteriidae | - | - | - | - | 1 | - | - | - |
| Veneridae | - | - | - | - | - | 3 | - | 1 |
| Tellinidae | 1 | 3 | 6 | - | 3 | 1 | 1 | 1 |
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Among all the eight stations, Site 7 is the most abundant and diverse, with 55 individuals across 19 taxa. Capitellidae was the most numerous family, indicating a clear dominance. Samples with common abundant taxa are presented in Figure 3. Within the polychaetes, Capitellidae, Opheliidae, Spionidae and Terebellidae were found to be the most recurring species in the samples collected within this mangrove ecosystem. With respect to arthropods, Anoplodactylus sp. and Apseudidae were the most abundant species.
Figure 5 represents the k-dominance curves for each station at each area. These plots illustrate the cumulative abundance of infauna plotted against the species rank. The curves are formulated from both a richness measure (species rank) and an evenness measure (% cumulative dominance).
The results of the dendrogram show that species from these eight sites were grouped to two major categories (Figure 7). Among these sites, site 4, site 6, and site 7 form a separate group while all other sites are branched to from a major group.
Table 3 shows the total abundance per site, number of species and their diversity indices; Margalef species richness, Pielou species evenness and the Shannon-Weiner diversity index. Graphs of the biodiversity indices by site can be seen in Figure 6.
| Site ID | No. of Taxa (s) | No. of Individuals (n) | Margalef Species Richness (d) | Pielou Species Evenness (J') | Shannon-Weiner Diversity (loge)(H') |
| SITE 1 | 15 | 39 | 3.82 | 0.72 | 1.94 |
| SITE 2 | 17 | 48 | 4.13 | 0.84 | 2.37 |
| SITE 3 | 13 | 37 | 3.32 | 0.87 | 2.23 |
| SITE 4 | 12 | 45 | 2.89 | 0.91 | 2.25 |
| SITE 5 | 16 | 38 | 4.12 | 0.92 | 2.56 |
| SITE 6 | 18 | 41 | 4.58 | 0.90 | 2.60 |
| SITE 7 | 20 | 55 | 4.74 | 0.92 | 2.75 |
| SITE 8 | 17 | 36 | 4.47 | 0.88 | 2.50 |
| Average by site | 16 | 42 | 4.01 | 0.87 | 2.40 |
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The three indices provide an indication of the diversity of each of the samples based on the number of species, number of individuals and the distribution of individuals between species. A more settled community will generally have a greater number of species with individuals spread more evenly between them, while a stressed or recovering community will tend to be numerically dominated by a small number of species and have fewer species overall.
Margalef species richness index (d) is heavily influenced by the overall number of species measured, though it makes a slight allowance for the number of individuals. Higher values indicate a greater number of species per individual. Margalef species richness index (d), values are ranged between 2.89 and 4.74 showing reasonably moderate to high richness. Pielou's species evenness index (J') reflects the level of spread of the individuals between the species and lies between 0 (uneven) and 1 (even). The Shannon-Weiner diversity index (H') lies between 1.94 to 2.75, indicating an average diversity. The total number of species and individuals present was influenced by salinity regimes, sediment types, organic content food availability [18]. etc. Overall, the range of species present in all samples combined suggests a moderately high level of diversity [19,20,21,22].
Multivariate analyses were conducted to investigate resemblances in the infaunal assemblages between sites across the study area (Clarke and Gorley). A Bray-Curtis (BC) similarity matrix was used to calculate the percentage similarity between all infaunal sites based on all the species present and their abundances. The samples from each site were summed so that the focus of the analysis was on similarities and differences between locations. To ensure better representation for presence/absence of taxa rather than the analysis being dominated by the most numerous species, a fourth-root transformation was applied.
To assist with visualizing relationships between sites, the BC values have been displayed as a dendrogram (group average), in which sites where the communities are more comparable (i.e., have a higher percentage similarity value) split from one another further down the diagram.
| SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 | |
| SITE 1 | - | - | - | - | - | - | - | - |
| SITE 2 | 59.601 | - | - | - | - | - | - | - |
| SITE 3 | 51.726 | 55.286 | - | - | - | - | - | - |
| SITE 4 | 55.143 | 48.329 | 40.422 | - | - | - | - | - |
| SITE 5 | 76.999 | 69.116 | 59.144 | 49.716 | - | - | - | - |
| SITE 6 | 61.097 | 52.862 | 55.576 | 47.677 | 55.462 | - | - | - |
| SITE 7 | 48.443 | 62.275 | 38.993 | 43.931 | 52.765 | 53.200 | - | - |
| SITE 8 | 53.663 | 55.334 | 61.420 | 45.064 | 56.319 | 59.580 | 49.866 | - |
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The BC values are also used to create Multi-Dimensional Scaling plots (MDS), where sites which have similar assemblages are plotted closer together, while those that are more dissimilar are plotted further apart. Fig. 8 shows an MDS plot for the Bray-Curtis matrix (fourth rooted data), with colored symbols indicating the transect type and a line added to show the 25% similarity level to assist with interpretation.
In this study, polychaetes were found to be the predominating phylum, playing a very important role in the recycling of organic materials within the mangroves. Their biomass creates the energy needed for the survival of this ecosystem, fueling aquatic benthic feeders. Bandekar et al. [23] stated that families like Nereidae, Nephthydae, Onuphidae, Eunicidae, Spoinidae, Maladanidae, Sabellidae, etc. are the major biomass producing annelids which form as an important food source for fishes and prawns. Similarly, bivalves provide stability to soil inhabitants and their diversity and species abundance.
The infaunal species found in all the sites occupy varied benthic habitats, such as, sandy, muddy and even seagrasses, indicating an adaptive feature for survival, especially among polychaetes. However, not many studies have been conducted within the Chettuva mangroves regarding infaunal diversity to impose an assertive conclusion on this.
Although that may be the case, similar studies in other mangrove fields like Bandekar et al. in Karwar Mangrove and Sarkar et al. [24] in Sunderban Biosphere Reserve Mangroves, have concluded that polychaetes carry certain features that help in the adaptation for survival. They are known to secrete mucus protecting themselves within peculiar habitats.
Several factors play a role causing a change in infaunal diversity and abundance, like competition with epifauna, predation by epifauna, poor quality of food and chemical defense by mangroves [25,26,27]. Seasons affect the diversity and density mostly due to salinity, water and sediment quality, inundation and waterlogging [28].
The authors would like to thank Mr. Veryan Pappin (Nautica Environmental Associates LLC) for the support offered to complete this research.
The authors declare no conflict of interest.
| [1] |
Heeger AJ (2001) Semiconducting and metallic polymers: The fourth generation of polymeric materials. J Phys Chem B 105: 8475–8491. doi: 10.1021/jp011611w
|
| [2] |
Ong BS, Wu YL, Liu P, et al. (2004) High-performance semiconducting polythiophenes for organic thin-film transistors. J Am Chem Soc 126: 3378–3379. doi: 10.1021/ja039772w
|
| [3] |
Blom PWM, Vissenberg MCJM (2000) Charge transport in poly(p-phenylene vinylene) lightemitting diodes. Mater Sci Eng R 27: 53–94. doi: 10.1016/S0927-796X(00)00009-7
|
| [4] |
Gallot B (1996) Comb like and block liquid crystalline polymers for biological applications. Prog Polym Sci 21: 1035–1088. doi: 10.1016/S0079-6700(96)00010-X
|
| [5] |
Jianquan T, Weiqu L, Honglei W, et al. (2016) Preparation and properties of UV-curable waterborne comb-like(meth)acrylate copolymers with long fluorinated side chains. Prog Org Coat 94: 62–72. doi: 10.1016/j.porgcoat.2016.01.027
|
| [6] | Jackson WJ (1980) Liquid crystal polymers. IV. Liquid crystalline aromatic polyesters. Brit Poly J 12: 154–162. |
| [7] |
Ballauf M (1989) Stiff-chain polymers-Structure, phase-behavior, and properties. Angew Chem Int Ed Engl 28: 253–267. doi: 10.1002/anie.198902533
|
| [8] |
Shi H, Zhao Y, Dong X (2013) Frustrated crystallization and hierarchical self-assembly behavior of comb-like polymers. Chem Soc Rev 42: 2075–2099. doi: 10.1039/C2CS35350D
|
| [9] |
Beiner M, Huth H (2003) Nanophase separation and hindered glass transition in side-chain polymers. Nat Mater 2: 595–599. doi: 10.1038/nmat966
|
| [10] |
Pankaj S, Beiner M (2010) Confined dynamics and crystallization in self-assembled alkyl nanodomains. J Phys Chem B 114: 15459–15465. doi: 10.1021/jp1072999
|
| [11] |
Zheng W, Levon K, Laakso J, et al. (1994) Characterization and solid-state properties of processable N-alkylated polyanilines in the neutral state. Macromolecules 27: 7754–7768. doi: 10.1021/ma00104a034
|
| [12] | Watanabe J, Ono H, Uematsu I, et al. (1985) Thermotropic polypeptides. 2. Molecular packing and thermotropic behavior of poly(L-glutamates) with long n-alkyl side chain. Macromolecules 18: 2141–2148. |
| [13] |
Gupta G, Danke V, Babur T, et al. (2017) Interrelations between side chain and main chain packing in different crystal modifications of alkoxylated polyesters. J Phys Chem B 121: 4583–4591. doi: 10.1021/acs.jpcb.7b00928
|
| [14] |
Sirringhaus H, Brown PJ, Friend RH, et al. (1999) Two-dimensional charge transport in selforganized, high-mobility conjugated polymers. Nature 401: 685–688. doi: 10.1038/44359
|
| [15] |
Gargi D, Kline RJ, DeLongchamp DM, et al. (2013) Charge transport in highly face-on poly(3-hexylthiophene) films. J Phys Chem C 117: 17421–17428. doi: 10.1021/jp4050644
|
| [16] |
Koynov K, Bahtiar A, Ahn T, et al. (2006) Molecular weight dependence of chain orientation and optical constants of thin films of the conjugated polymer MEH-PPV. Macromolecules 39: 8692–8698. doi: 10.1021/ma0611164
|
| [17] |
Hamaguchi M, Yoshino K (1995) Rubbing-induced molecular orientation and polarized electroluminescence in conjugated polymer. Jpn J Appl Phys 34: 712–715. doi: 10.1143/JJAP.34.712
|
| [18] |
Okuzaki H, Hirata Y, Kunugi T (1999) Mechanical properties and structure of zone-drawn poly(pphenylene vinylene) films. Polymer 40: 2625–2629. doi: 10.1016/S0032-3861(98)00511-4
|
| [19] |
Lin NT, Satyanarayana K, Chen CH, et al. (2014) Controlling the orientation of pendants in twodimensional comb-like polymers by varying stiffness of polymeric backbones. Macromolecules 47: 6166–6172. doi: 10.1021/ma5007655
|
| [20] |
Jeng U, Hsu CH, Sheu HS, et al. (2005) Morphology and charge transport in poly(2-methoxy-5-(2'-ethylhexyloxy)-1,4-phenylenevinylene) films. Macromolecules 38: 6566–6574. doi: 10.1021/ma050367u
|
| [21] |
Singh CR, Gupta G, Lohwasser R, et al. (2013) Correlation of charge transport with structural order in highly ordered melt crystallized P3HT films. J Polym Sci Part B Polym Phys 51: 943–951. doi: 10.1002/polb.23297
|
| [22] |
Brinkmann M, Contal C, Kayunkid N, et al. (2010) Highly oriented and nanotextured films of regioregular poly(3-hexylthiophene) grown by epitaxy on the nanostructured surface of an aromatic substrate. Macromolecules 43: 7604–7610. doi: 10.1021/ma101313m
|
| [23] |
Kim JS, Park Y, Lee DY, et al. (2010) Poly(3-hexylthiophene) nanorods with aligned chain orientation for organic photovoltaics. Adv Funct Mater 20: 540–545. doi: 10.1002/adfm.200901760
|
| [24] |
Fischer FSU, Tremel K, Sommer M, et al. (2012) Directed crystallization of poly(3-hexylthiophene) in micrometre channels under confinement and in electric fields. Nanoscale 4: 2138–2144. doi: 10.1039/c2nr12037b
|
| [25] |
Ebert F, Thurn-Albrecht T (2003) Controlling the orientation of semicrystalline polymers by crystallization in magnetic fields. Macromolecules 36: 8685–8694. doi: 10.1021/ma034760g
|
| [26] | Freidzon YAS, Talroze RV, Boiko NI, et al. (1988) Thermotropic liquid-crystalline polymers XXIII. Peculiarities of uniaxial orientation of comb-like liquid-crystalline polymers under mechanical stress. Liq Cryst 3: 127–132. |
| [27] |
Nagamatsu S, Takashima W, Kaneto K (2003) Backbone arrangement in friction-transferred regioregular poly(3-alkylthiophene)s. Macromolecules 36: 5252–5257. doi: 10.1021/ma025887t
|
| [28] |
Hamidi-Sakr A, Biniek L, Fall S, et al. (2016) Precise control of lamellar thickness in highly oriented regioregular poly(3-hexylthiophene) thin films prepared by high-temperature rubbing: Correlations with optical properties and charge transport. Adv Funct Mater 26: 408–420. doi: 10.1002/adfm.201504096
|
| [29] |
Rim YS, Bae SH, Chen HJ, et al. (2016) Recent progress in materials and devices toward Printable and flexible sensors. Adv Mater 28: 4415–4440. doi: 10.1002/adma.201505118
|
| [30] |
Reinspach JA, Diao Y, Giri G, et al. (2016) Tuning the morphology of solution-sheared P3HT:PCBM films. ACS Appl Mater Interfaces 8: 1742–1751. doi: 10.1021/acsami.5b09349
|
| [31] | Rauwendaal C (2001) Polymer Extrusion, Carl Hanser Verlag Munich. |
| [32] | Damman SB, Vroege GJ (1993) Liquid-crystalline main-chain polymers with a poly(p-phenylene terephthalate) backbone. X-ray-diffraction of the polyester with dodecyloxy side-chains. Polymer 34: 2732–2739. |
| [33] |
Babur T, Balko J, Budde H, et al. (2014) Confined relaxation dynamics in long range ordered polyesters with comb-like architecture. Polymer 55: 6844–6852. doi: 10.1016/j.polymer.2014.10.062
|
| [34] | Babur T (2017) Structure and relaxation dynamics of comb-like polymers with rigid backbone [PhD Dissertation]. Martin Luther University Halle-Wittenberg. |
| [35] |
Babur T, Gupta G, Beiner M (2016) About different packing states of alkyl groups in comb-like polymers with rigid backbones. Soft Matter 12: 8093–8097. doi: 10.1039/C6SM01812B
|
| [36] |
Nagamatsu S, Misaki M, Chikamatsu M, et al. (2007) Crystal structure of friction transferred poly(2,5-dioctyloxy-1,4-phenylenevinylene). J Phys Chem B 111: 4349–4354. doi: 10.1021/jp067555m
|
| [37] |
Balsara NP, Dai HJ (1996) A transition from shear-induced order to shear-induced disorder in block copolymers. J Chem Phys 105: 2942–2945. doi: 10.1063/1.472162
|
| [38] | Vigild ME, Chu C, SugiyamaM(2001) Influence of shear on the alignment of a lamellae-forming pentablock Copolymer. Macromolecules 34: 951–964. |
| [39] | Damman SB, Mercx FPM (1993) About di erent packing states of alkyl groups in comb-like polymers with rigid backbones. J Polym Sci Part B Polym Phys 31: 1759–1767. |
| [40] | Falk U, Westermark B, Boeffel C, et al. (1987) NMR of stiff macromolecules with flexible side chains. Mol Cryst Liq Cryst 153: 199–206. |
| 1. | Liya Vazhamattom Benjamin, Ratheesh Kumar R, Shelton Padua, Sreekanth Giri Bhavan, Fish diversity, composition, and guild structure influenced by the environmental drivers in a small temporarily closed tropical estuary from the western coast of India, 2023, 30, 1614-7499, 108889, 10.1007/s11356-023-29476-8 |
Figures(6) / Tables(1)
Gaurav Gupta, Varun Danke, Tamoor Babur, Mario Beiner. Morphology orientation of comb-like polymers with rigid backbones under the influence of shear fields[J]. AIMS Materials Science, 2017, 4(4): 970-981. doi: 10.3934/matersci.2017.4.970
| Phylum | Number of Taxa | Relative abundance (%) |
| Annelida | 22 | 72.27 |
| Arthropoda | 13 | 15.93 |
| Mollusca | 4 | 9.73 |
| Echinodermata | 1 | 2.06 |
| Total | 40 | 100 |
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| Taxon | SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 |
| Golfingia sp. | - | 4 | 1 | - | - | - | 1 | 4 |
| Sipunculidae | - | 1 | - | 2 | - | 1 | - | - |
| Phascolosoma sp. | - | 1 | 1 | - | 1 | - | - | - |
| Phyllodocidae | 1 | - | 1 | - | - | 1 | - | - |
| Nephtyidae | - | - | - | - | - | 1 | 3 | - |
| Syllidae | 1 | 2 | - | - | 3 | - | 5 | - |
| Nereididae | - | - | 2 | - | - | 4 | - | 1 |
| Sigalionidae | - | 2 | - | 3 | - | - | - | - |
| Polynoidae | 1 | - | - | - | 1 | - | - | - |
| Glyceridae | 2 | - | - | 1 | 3 | - | - | - |
| Maldanidae | - | 1 | - | - | - | - | - | - |
| Lumbrineridae | 2 | 1 | - | 5 | 1 | 1 | 3 | 2 |
| Opheliidae | 1 | 2 | 3 | 1 | 5 | 9 | 2 | 1 |
| Spionidae | 1 | - | 10 | 9 | 2 | 1 | - | 1 |
| Capitellidae | 20 | 14 | 5 | 6 | 5 | 4 | 8 | 6 |
| Magelonidae | - | - | - | - | - | - | - | 1 |
| Orbiniidae | 1 | 8 | - | - | 1 | 3 | 5 | - |
| Terebellidae | 1 | 1 | 3 | 2 | 1 | 4 | 2 | 8 |
| Flabelligeridae | - | - | - | - | - | - | - | - |
| Cirratulidae | 1 | - | - | - | - | 1 | - | - |
| Amphinomidae | - | - | 2 | - | - | - | - | - |
| Sabellidae | 3 | 1 | - | 4 | 1 | 2 | 1 | 1 |
| Anoplodactylus sp. | 2 | 4 | 1 | - | 5 | 1 | 6 | 1 |
| Hyalidae | - | 1 | - | - | - | - | 1 | - |
| Melitidae | - | - | - | 3 | - | - | 4 | - |
| Isaeidae | - | - | - | - | - | - | - | 1 |
| Ampeliscidae | - | - | - | - | - | - | 1 | 1 |
| Urothoe brevicornis | - | - | - | - | - | - | 2 | - |
| Leptanthuridae | - | - | - | - | - | - | - | 1 |
| Accalathura borradailei | - | - | - | - | - | 1 | - | - |
| Cirolanidae | - | - | - | - | - | - | - | - |
| Bodotriidae | - | - | - | - | - | - | 2 | - |
| Paranebalia sp. | - | - | - | - | - | - | 1 | - |
| Apseudidae | - | - | - | 8 | - | 1 | 5 | - |
| Paratanaidae | - | - | - | - | - | - | 1 | - |
| Amphiuridae | 1 | 1 | 1 | 1 | 1 | - | - | 2 |
| Ancillariidae | - | 1 | 1 | - | 4 | 2 | 1 | 3 |
| Pteriidae | - | - | - | - | 1 | - | - | - |
| Veneridae | - | - | - | - | - | 3 | - | 1 |
| Tellinidae | 1 | 3 | 6 | - | 3 | 1 | 1 | 1 |
DownLoad:
CSV
| Site ID | No. of Taxa (s) | No. of Individuals (n) | Margalef Species Richness (d) | Pielou Species Evenness (J') | Shannon-Weiner Diversity (loge)(H') |
| SITE 1 | 15 | 39 | 3.82 | 0.72 | 1.94 |
| SITE 2 | 17 | 48 | 4.13 | 0.84 | 2.37 |
| SITE 3 | 13 | 37 | 3.32 | 0.87 | 2.23 |
| SITE 4 | 12 | 45 | 2.89 | 0.91 | 2.25 |
| SITE 5 | 16 | 38 | 4.12 | 0.92 | 2.56 |
| SITE 6 | 18 | 41 | 4.58 | 0.90 | 2.60 |
| SITE 7 | 20 | 55 | 4.74 | 0.92 | 2.75 |
| SITE 8 | 17 | 36 | 4.47 | 0.88 | 2.50 |
| Average by site | 16 | 42 | 4.01 | 0.87 | 2.40 |
DownLoad:
CSV
| SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 | |
| SITE 1 | - | - | - | - | - | - | - | - |
| SITE 2 | 59.601 | - | - | - | - | - | - | - |
| SITE 3 | 51.726 | 55.286 | - | - | - | - | - | - |
| SITE 4 | 55.143 | 48.329 | 40.422 | - | - | - | - | - |
| SITE 5 | 76.999 | 69.116 | 59.144 | 49.716 | - | - | - | - |
| SITE 6 | 61.097 | 52.862 | 55.576 | 47.677 | 55.462 | - | - | - |
| SITE 7 | 48.443 | 62.275 | 38.993 | 43.931 | 52.765 | 53.200 | - | - |
| SITE 8 | 53.663 | 55.334 | 61.420 | 45.064 | 56.319 | 59.580 | 49.866 | - |
DownLoad:
CSV
| Phylum | Number of Taxa | Relative abundance (%) |
| Annelida | 22 | 72.27 |
| Arthropoda | 13 | 15.93 |
| Mollusca | 4 | 9.73 |
| Echinodermata | 1 | 2.06 |
| Total | 40 | 100 |
| Taxon | SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 |
| Golfingia sp. | - | 4 | 1 | - | - | - | 1 | 4 |
| Sipunculidae | - | 1 | - | 2 | - | 1 | - | - |
| Phascolosoma sp. | - | 1 | 1 | - | 1 | - | - | - |
| Phyllodocidae | 1 | - | 1 | - | - | 1 | - | - |
| Nephtyidae | - | - | - | - | - | 1 | 3 | - |
| Syllidae | 1 | 2 | - | - | 3 | - | 5 | - |
| Nereididae | - | - | 2 | - | - | 4 | - | 1 |
| Sigalionidae | - | 2 | - | 3 | - | - | - | - |
| Polynoidae | 1 | - | - | - | 1 | - | - | - |
| Glyceridae | 2 | - | - | 1 | 3 | - | - | - |
| Maldanidae | - | 1 | - | - | - | - | - | - |
| Lumbrineridae | 2 | 1 | - | 5 | 1 | 1 | 3 | 2 |
| Opheliidae | 1 | 2 | 3 | 1 | 5 | 9 | 2 | 1 |
| Spionidae | 1 | - | 10 | 9 | 2 | 1 | - | 1 |
| Capitellidae | 20 | 14 | 5 | 6 | 5 | 4 | 8 | 6 |
| Magelonidae | - | - | - | - | - | - | - | 1 |
| Orbiniidae | 1 | 8 | - | - | 1 | 3 | 5 | - |
| Terebellidae | 1 | 1 | 3 | 2 | 1 | 4 | 2 | 8 |
| Flabelligeridae | - | - | - | - | - | - | - | - |
| Cirratulidae | 1 | - | - | - | - | 1 | - | - |
| Amphinomidae | - | - | 2 | - | - | - | - | - |
| Sabellidae | 3 | 1 | - | 4 | 1 | 2 | 1 | 1 |
| Anoplodactylus sp. | 2 | 4 | 1 | - | 5 | 1 | 6 | 1 |
| Hyalidae | - | 1 | - | - | - | - | 1 | - |
| Melitidae | - | - | - | 3 | - | - | 4 | - |
| Isaeidae | - | - | - | - | - | - | - | 1 |
| Ampeliscidae | - | - | - | - | - | - | 1 | 1 |
| Urothoe brevicornis | - | - | - | - | - | - | 2 | - |
| Leptanthuridae | - | - | - | - | - | - | - | 1 |
| Accalathura borradailei | - | - | - | - | - | 1 | - | - |
| Cirolanidae | - | - | - | - | - | - | - | - |
| Bodotriidae | - | - | - | - | - | - | 2 | - |
| Paranebalia sp. | - | - | - | - | - | - | 1 | - |
| Apseudidae | - | - | - | 8 | - | 1 | 5 | - |
| Paratanaidae | - | - | - | - | - | - | 1 | - |
| Amphiuridae | 1 | 1 | 1 | 1 | 1 | - | - | 2 |
| Ancillariidae | - | 1 | 1 | - | 4 | 2 | 1 | 3 |
| Pteriidae | - | - | - | - | 1 | - | - | - |
| Veneridae | - | - | - | - | - | 3 | - | 1 |
| Tellinidae | 1 | 3 | 6 | - | 3 | 1 | 1 | 1 |
| Site ID | No. of Taxa (s) | No. of Individuals (n) | Margalef Species Richness (d) | Pielou Species Evenness (J') | Shannon-Weiner Diversity (loge)(H') |
| SITE 1 | 15 | 39 | 3.82 | 0.72 | 1.94 |
| SITE 2 | 17 | 48 | 4.13 | 0.84 | 2.37 |
| SITE 3 | 13 | 37 | 3.32 | 0.87 | 2.23 |
| SITE 4 | 12 | 45 | 2.89 | 0.91 | 2.25 |
| SITE 5 | 16 | 38 | 4.12 | 0.92 | 2.56 |
| SITE 6 | 18 | 41 | 4.58 | 0.90 | 2.60 |
| SITE 7 | 20 | 55 | 4.74 | 0.92 | 2.75 |
| SITE 8 | 17 | 36 | 4.47 | 0.88 | 2.50 |
| Average by site | 16 | 42 | 4.01 | 0.87 | 2.40 |
| SITE 1 | SITE 2 | SITE 3 | SITE 4 | SITE 5 | SITE 6 | SITE 7 | SITE 8 | |
| SITE 1 | - | - | - | - | - | - | - | - |
| SITE 2 | 59.601 | - | - | - | - | - | - | - |
| SITE 3 | 51.726 | 55.286 | - | - | - | - | - | - |
| SITE 4 | 55.143 | 48.329 | 40.422 | - | - | - | - | - |
| SITE 5 | 76.999 | 69.116 | 59.144 | 49.716 | - | - | - | - |
| SITE 6 | 61.097 | 52.862 | 55.576 | 47.677 | 55.462 | - | - | - |
| SITE 7 | 48.443 | 62.275 | 38.993 | 43.931 | 52.765 | 53.200 | - | - |
| SITE 8 | 53.663 | 55.334 | 61.420 | 45.064 | 56.319 | 59.580 | 49.866 | - |
