scholarly journals Temporal and Bathymetric Variation of Epiphytic Microalgae on Posidonia oceanica (L.) Delile Leaves in Gökçeada (North Aegean, Turkey)

2020 ◽  
Vol 20 (10) ◽  
pp. 727-737
Author(s):  
Aysu Guresen ◽  
Sedat Ozan Guresen ◽  
Yelda Aktan
Keyword(s):  
Leaf Surface ◽  
Environmental Parameters ◽  
Posidonia Oceanica ◽  
Filamentous Cyanobacteria ◽  
Chemical Parameters ◽  
Physico Chemical ◽  
Low Diversity ◽  
North Aegean ◽  
Benthic Ecosystems ◽  
Surface Improvement

Epiphytic microalgae attached to Posidonia oceanica leaves play a significant role through primary production, nutrient cycling and trophic fluxes in benthic ecosystems. Due to their sensitivity, epiphytic microalgae respond to environmental alterations more quickly than their host. The aim of this study is therefore to evaluate the ecological quality in Gökçeada Underwater Park (North Aegean) using epiphytic microalgal composition and abundance. In this respect, P. oceanica shoots are collected at 6m, 15m and 28m in May, July, October 2009 and January 2010 to estimate the microalgal composition and abundance. Also, P. oceanica descriptors and physico-chemical parameters in the water column of the meadow lower limit are measured. Leaf surface improvement through greater depths, have provided a convenient substratum for epiphytic colonization. A total of 56 taxa belonging to epiphytic microalgae are composed of Bacillariophyceae (91%), Cyanophyceae (7%) and Dinophyceae (2%). Temporal and bathymetric dynamics of the epiphytic community structure and abundance depend on the environmental parameters; such as leaf surface, nutrients and turbidity. Also, a mucilage phenomenon, resulted in a low diversity due to the dominancy of filamentous cyanobacteria. Necessary data is supplied for a less evaluated region affected by agricultural activities and urbanization in the recent years.

scholarly journals Seasonal distribution and population dynamics of limnic microalgae and their association with physico-chemical parameters of river Noyyal through multivariate statistical analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pandian Suresh Kumar ◽  
Jibu Thomas
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Sampling Site ◽  
Principal Component ◽  
Environmental Parameters ◽  
Diversity Indices ◽  
Population Diversity ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Physico Chemical

Abstract The present investigation embarks on understanding the relationship between microalgal species assemblages and their associated physico-chemical parameter dynamics of the catchment region of river Noyyal. Totally, 142 microalgae cultures belonging to 10 different families were isolated from five different sites during four seasons and relative percentage distribution showed that Scenedesmaceae (36.6%) and site S1 (26.4%) with predominant microalgae population. Diversity indices revealed that microalgae communities were characterized by high Hʹ index, lower Simpson dominance, and Margalef index value with indefinite patterns of annual variations. Results showed that variation in the physico-chemical parameters in each sampling site has its impact on the microalgae population during each season. Multivariate statistical analysis viz., Karl Pearson’s correlation coefficient, principal component analysis, and canonical correspondence analysis were applied on microalgae species data, to evaluate the seasonal relationship between microalgae and physico-chemical parameters. The findings of our study concluded that the physico- chemical parameters influenced the dominant taxa of microalgae Chlorellaceae, Scenedesmaceae and Chlorococcaceae in river Noyyal and gives a base data for the seasonal and dynamic relationship between environmental parameters and microalgae population.

scholarly journals Influence of environmental parameters on benthic macroinvertebrate assemblages in the headwaters of Bagmati river, Kathmandu valley, Nepal

2019 ◽  
Vol 29 (1) ◽  
pp. 53-61
Author(s):  
A. Rai ◽  
D. N. Shah ◽  
R. D. T. Shah ◽  
C. Milner
Keyword(s):  
Multivariate Analysis ◽  
Dissolved Oxygen ◽  
Variation Partitioning ◽  
Explanatory Power ◽  
Environmental Parameters ◽  
Chemical Parameters ◽  
Contributing Factors ◽  
Physico Chemical ◽  
Invertebrate Assemblages ◽  
Bagmati River

The distribution of benthic macro invertebrates (BMIs) is affected by various environmental factors. Understanding their response to these factors is a key to assessing freshwater quality. The aim of this research is to understand the influence of different environmental parameters on BMIs assemblages in the headwaters of Bagmati River. The BMIs were sampled following a multi-habitat sampling protocol and the – hydrological and physico-chemical parameters were measured using standard methods. The relationship between environmental parameters and macro invertebrate assemblages was analyzed through Multivariate analysis - Redundancy Analysis and Variation Partitioning. Stream discharge, pH and Dissolved Oxygen were selected for multivariate analysis through backward elimination method. pH and Dissolved Oxygen were important contributing factors explaining the variation in BMIs community. Physico-chemical parameters were found to be the most important group of variables explaining the variation in macro invertebrate assemblages. Only about twenty-five per cent of the variation in the BMIs community was explained by the model so the parameters studied here do not have a high degree of explanatory power.

Seasonal Variation of Physico-Chemical Parameters in Kedilam River, Tamil Nadu, India

2012 ◽  
Vol 2 (10) ◽  
pp. 1-3
Author(s):  
Gyaneswar Bhuyan ◽  
◽  
Dr. R. Anandhan Dr. R. Anandhan ◽  
V. kavitha V. kavitha
Keyword(s):  
Seasonal Variation ◽  
Tamil Nadu ◽  
Chemical Parameters ◽  
Physico Chemical

Abundance of Noctiluca scintillans Macartney on the alteration of physico-chemical parameters at Minnie Bay, Port Blair, Andaman & Nicobar Islands, India

2007 ◽  
Vol 9 (3) ◽  
pp. 236-246
Author(s):  
P. D. Magesh ◽  
J. Santanakumar ◽  
P. Venkateshwaran ◽  
A. K. Abdul Nazar ◽  
R. Venkatesan ◽  
...  
Keyword(s):  
Chemical Parameters ◽  
Noctiluca Scintillans ◽  
Physico Chemical ◽  
Nicobar Islands

INFLUENCE OF PHYSICO- CHEMICAL PARAMETERS ON THE JOINT GROWTH OF MICROORGANISMS USED IN THE PRODUCTION OF BIOFUELS

2018 ◽  
Vol 8 (5) ◽  
pp. 48-50
Author(s):  
N.V. Lakina ◽  
◽  
A.I. Golovko ◽  
V.Yu. Doluda ◽  
V.G. Matveeva ◽  
...  
Keyword(s):  
Chemical Parameters ◽  
Physico Chemical

Controlled and uncontrolled physicochemical quality indicators of 0.9 % sodium chloride of various manufacturers

2020 ◽  
pp. 6-11
Author(s):  
Anton Kasatkin ◽  
Anna Nigmatullina ◽  
Mikhail Kopytov
Keyword(s):  
Sodium Chloride ◽  
Quality Indicators ◽  
Clinical Studies ◽  
Laboratory Tests ◽  
Ph Value ◽  
Chemical Parameters ◽  
Pharmacokinetics And Pharmacodynamics ◽  
Physicochemical Quality ◽  
Physico Chemical

The article presents the results of studies of osmolality and pH of 0,9 % sodium chloride of various manufacturers. To obtain data on the pH value, the data used in the passports are used, and the indicators of its osmolality are de- termined using laboratory tests. 0,9 % sodium chloride from different manufacturers has different pH and osmolality. Knowing the actual values of physico-chemical parameters can increase the accuracy of the results of future clinical studies, which compare the pharmacokinetics and pharmacodynamics of modern plasma-substituting solutions and a solution of 0,9 % sodium chloride.

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