Biodiversity of epibenthic community in the inshore waters of southeast coast of India

Biologia ◽  
2010 ◽  
Vol 65 (4) ◽  
Author(s):  
Ajmal Khan ◽  
Seerangan Manokaran ◽  
Somasundaran Lyla ◽  
Zahid Nazeer
Keyword(s):  
Environmental Variables ◽  
Gradual Change ◽  
Southeast Coast Of India ◽  
Number Of Species ◽  
Southeast Coast ◽  
Total Variability ◽  
Different Depths ◽  
Inshore Waters ◽  
The Relationship ◽  
Epifaunal Assemblage

AbstractThe epifaunal assemblage was evaluated at three different depths (5, 15 and 25 m) in the inshore waters of Pazhayar, Parangipettai and Cuddalore apart from 5 m depth near SIPCOT covering totally 10 stations (11°21′ N to 11°42′ N; 79°46′49″ E to 79°52′34″ E) in the southeast coast of India, Bay of Bengal. The occurrence of as many as 112 species belonging to 6 groups was recorded. Among these, gastropods constituted the largest component (42.85%) with 48 species. Bivalves came next with the percentage contribution of 24.10% with 27 species. Crustaceans and polychaetes contributed with 16.96% (19 species) and 6.25% (7 species), respectively. Others contributed with 9.82% (11 species). The maximum number of species was recorded in Cuddalore transect (65 species) and the minimum in SIPCOT (20 species). The maximum abundance was recorded in SIPCOT (1363 ind./haul) but the diversity was found to be lower here than in the other stations. The bivalve, Scapharca inaequivalvis was abundant only in this station whereas the large sized polychaetes, Epidiopatra hupferiana monroi and Sternaspis scutata were found only in the Pazhayar transect during all the seasons. Multivariate analyses were done to define assemblages. The total number of species estimated by various extrapolators varied from 112 species to 169.73 species. The cluster analysis revealed the gradual change in species composition with increase in depth. In the principal coordinate analysis (PCO) the first two axes explained 49.8% of the total variability in the case of biota and 98.3% of the total variability in the case of environmental variables. The distance based linear model (DISTLM) was used to find out the relationship between the abundance of epifauna and environmental variables. Depth explained about 23.7% of the variability while temperature and pH explained 17.5 and 10.6%, respectively. The best solution suggested all the nine environmental variables to combinedly explain about 92.49% of the total variability

scholarly journals ​An Annotated Checklist of Elasmobranchs Along the Coromandel Coast of Tamil Nadu, Southeast Coast of India

2021 ◽  
Author(s):  
M. Kishore Kumar ◽  
N. Jayakumar ◽  
K. Karuppasamy ◽  
D. Manikandavelu ◽  
A. Uma
Keyword(s):  
Marine Fish ◽  
Tamil Nadu ◽  
Southeast Coast Of India ◽  
Fish Resources ◽  
Number Of Species ◽  
Southeast Coast ◽  
Annotated Checklist ◽  
Southeast India ◽  
Coromandel Coast ◽  
Taxonomic Keys

Background: Elasmobranch is one of the largest marine fish resources, consisting of sharks, sawfishes, rays and skates. A worldwide estimate of elasmobranch diversity reveals 815 species coming under 9 orders, 42 families and 164 genera, of which 359 species are sharks and 456 are skates and rays. Hence, it has been planned to investigate the biodiversity and fishery of elasmobranchs along the Coromandel Coast of Tamil Nadu, Southeast India. Methods: Elasmobranch specimens were collected during June 2019 to March 2020 from three main landing centres of Coromandel Coast of Tamil Nadu viz Royapuram (Chennai), Cuddalore and Nagapattinam Fishing Harbours. Sampling was done fortnightly in the above three landing centres. The specimens were collected from the catches of trawl nets, bottom set gillnets and hook and lines. The specimens were identified morphologically in the landing centres itself based on the valid taxonomic keys. Result: In the present study, 67 species of elasmobranch belonging to 7 orders, 21 families and 46 genera were recorded. Of the 7 orders, Carcharhiniformes had the largest number of species (27). Among the 25 families, Carcharhinidae (21) had the largest representation.

Diversity of filamentous fungi on coastal woody debris after tsunami on the southeast coast of India.

2009 ◽  
Vol 61 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Mathrubutham Ravikumar ◽  
Kandikere R. Sridhar ◽  
Thangaraju Sivakumar ◽  
Kishore S. Karamchand ◽  
Nallusamy Sivakumar ◽  
...  
Keyword(s):  
Filamentous Fungi ◽  
Woody Debris ◽  
Southeast Coast Of India ◽  
Southeast Coast

Shoreline changes over last five decades and predictions for 2030 and 2040: a case study from Cuddalore, southeast coast of India

2021 ◽  
Author(s):  
Logesh Natarajan ◽  
Nagulan Sivagnanam ◽  
Tune Usha ◽  
Lakshumanan Chokkalingam ◽  
Sajimol Sundar ◽  
...  
Keyword(s):  
Southeast Coast Of India ◽  
Shoreline Changes ◽  
Southeast Coast

Occurrence of tumour (odontoma) in marine fish Sphyraena jello from the southeast coast of India

2014 ◽  
Vol 108 (1) ◽  
pp. 53-60 ◽  
Author(s):  
R Vijayakumar ◽  
A Gopalakrishnan ◽  
K Raja ◽  
K Sinduja
Keyword(s):  
Marine Fish ◽  
Southeast Coast Of India ◽  
Southeast Coast

scholarly journals A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production

2011 ◽  
Vol 68 (3) ◽  
pp. 528-536 ◽  
Author(s):  
Miguel Bernal ◽  
Yorgos Stratoudakis ◽  
Simon Wood ◽  
Leire Ibaibarriaga ◽  
Luis Valdés ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Environmental Variables ◽  
Egg Production ◽  
Stock Assessment ◽  
Production Model ◽  
Estimation Methods ◽  
Statistical Framework ◽  
Spatio Temporal ◽  
The Relationship ◽  
Made In

Abstract Bernal, M., Stratoudakis, Y., Wood, S., Ibaibarriaga, L., Uriarte, A., Valdés, L., and Borchers, D. 2011. A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production. – ICES Journal of Marine Science, 68: . A spatially and environmentally explicit egg production model is developed to accommodate a number of assumptions about the relationship between egg production and mortality and associated environmental variables. The general model was tested under different assumptions for Atlanto-Iberian sardine. It provides a flexible estimator of egg production, in which a range of assumptions and hypotheses can be tested in a structured manner within a well-defined statistical framework. Application of the model to Atlanto-Iberian sardine increased the precision of the egg production time-series, and allowed improvements to be made in understanding the spatio-temporal variability in egg production, as well as implications for ecology and stock assessment.

Consistency of patterns between laboratory experiments and field collected fish in otolith chemistry: an example and applications for salinity reconstructions

2005 ◽  
Vol 56 (5) ◽  
pp. 609 ◽  
Author(s):  
T. S. Elsdon ◽  
B. M. Gillanders
Keyword(s):  
Environmental Variables ◽  
Laboratory Experiments ◽  
Juvenile Fish ◽  
Otolith Chemistry ◽  
Ambient Water ◽  
Elemental Concentrations ◽  
Adequate Knowledge ◽  
Black Bream ◽  
Environmental Histories ◽  
The Relationship

Elemental concentrations within fish otoliths can track movements and migrations of fish through gradients of environmental variables. Tracking the movements of fish relies on establishing links between environmental variables and otolith chemistry, with links commonly made using laboratory experiments that rear juvenile fish. However, laboratory experiments done on juvenile fish may not accurately reflect changes in wild fish, particularly adults. We tested the hypotheses that: (1) the relationship between ambient (water) and otolith chemistry is similar between laboratory-reared black bream (Acanthopagrus butcheri) and wild black bream; and (2) ontogeny does not influence otolith chemistry. Field-collected and laboratory-reared fish showed similar effects of ambient strontium : calcium (Sr : Ca) on otolith Sr : Ca concentrations. However, ambient and otolith barium : calcium concentrations (Ba : Ca) differed slightly between laboratory-reared and field-collected fish. Importantly, fish reared in stable environmental variables showed no influence of ontogeny on Sr : Ca or Ba : Ca concentrations. Natural distributions of ambient Sr : Ca showed no clear relationship to salinity, yet, ambient Ba : Ca was inversely related to salinity. The distribution of ambient Sr : Ca and Ba : Ca in estuaries inhabited by black bream, suggest that these elements can answer different questions regarding environmental histories of fish. Reconstructing salinity histories of black bream using otolith Ba : Ca concentrations seems plausible, if adequate knowledge of Ba : Ca gradients within estuaries is obtained.

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