Fuzzy logic can be used to analyse and classify flora and faunal diversity. It uses fuzzy logic to describe richness and complexity of plant and animal life. Fuzzy logic can identify patterns in data to better understand diversity of an ecosystem. This study used a fuzzy combined effect time quantity dependent data matrix to predict the distribution and diversity of phytal fauna in Erayumanthurai coast. The method involved the use of Initial Raw Data Matrix (IRDM), Average Quantity Dependent Data Matrix (AQDM), Refined Quantity Dependent Data Matrices (RQDMs) and Combined Effect Quantity Dependent Data Matrix (CEQDM). Results showed that the high number of fauna was recorded in sites at α = 0.75 level and the faunal ranges were medium at α = 0.5 level. Negative values in the sites of S2, S3, and S4 indicated that faunal composition in these sites was not preferred. This fuzzy combined effect time quantity dependent data matrix was able to predict the exact place that had more anthropogenic disturbance to disturb the diversity and distribution of phytal fauna.
Pesticides are toxic to aquatic fauna, which form significant components of the food chain. In this study to estimate, the lethal concentration LC50 of fenvalerate and sub-lethal concentration of Fenvalerate on the respiratory metabolism of Cirrhinus mrigala fingerlings was recorded in laboratory condition. The median lethal concentration of fenvalerate was estimated, by exposing different concentration such as 0.01, 0.05, 0.1, 0.15 and 0.2 ppm of fenvalerate. The profit analysis, it was estimated that the LC50 value for 96 hrs for the pesticide fenvalerate was calculated as 0.025 ppm. The rate of oxygen consumption increased from 0.44 mg/g/hrs to 0.67 mg/g/hrs. When the partial pressure increase from 80 to 100 (mm/hg) in the exposed to 0.00083 ppm. The rate of oxygen consumption shoots us in 0.00083 and 0.00125 ppm concentration of fenvalarate, when compared with control. In the present investigation, the decline of oxygen consumption was observed in the subsequence exposure of Fenvalerate.
Fuzzy logic can be used to identify patterns in the data, which can be used to better understand the diversity of a particular ecosystem. This study examines the diversity of ants in different sites of Palayamkottai using the Combined Effect Quantity Dependent Data Matrix (CEQD-Matrix). Initial raw data is collected and transformed into an Average Quantity Dependent Data matrix (AQD Matrix) by taking ants' names as rows and point count sites as columns. A defined quantity dependent data matrix (RQD Matrix) is then generated using mean and standard deviation methods. Finally, a Combined Effect Quantity Dependent Data matrix (CEQD Matrix) is produced to show the cumulative effect of all the entries. Python is used to generate the graphs of the RQD Matrix and CEQD Matrix. It was found that the species Tetraponera rufonigra predominantly occupied the all sites, followed by Oecophylla smaragdina. The matrix was also used to predict the effects of anthropogenic disturbances on the ant diversity.
This study examined the impact of various household chemicals, such as Surf excel, hair dye, popular soap, fabric softener, shampoo, and coconut oil, on the ornamental fish Poecilia sphenops (Valenciennes in Cuvier and Valenciennes, 1846). Length-weight relationships, gonadosomatic and hepatosomatic indexes, oxygen consumption, and opercular beat rate were measured to assess the effects of the chemicals (10, 20, and 30 ppm) on the fish. Results showed that at higher concentrations of the chemicals, the fish exhibited increased breathing and signs of distress. The temperature of 28°C was found to be optimum for the growth of P. sphenops, while the lowest growth performance was shown at temperature 30°C. Fish ranged from 37 to 67 mm in total length and 1.10 to 3.10 g in body weight. The female to male sex ratio (4.9:1) deviated significantly from the unity (?²= 214.2, p<0.05). These findings indicate that the presence of such noxious chemicals are deleterious to natural populations of fish, and that the irresponsible discharge of sewage water into water bodies should be avoided.
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