4 research outputs found

    Species diversity of freshwater fish in the agriculture conservation areas of Eastern Bangkok, Thailand

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    This paper analyzes the diversity of freshwater fish in the agricultural conservation areas of Eastern Bangkok, Thailand, resulting from a study carried out in the period from January to December 2020. The fish samples were collected every 4 months, covering the hot-dry (April), rainy (August) and cool-dry (December) seasons at eight sampling stations. Fishes were caught using cast nets with a mesh size of 1.5 cm and 2.5 cm, and gill nets with a mesh size of ¾ inch, 1.5 inch and 2 inch. All data was analyzed to find out the fish diversity indices. Multivariate method of cluster analysis was used for data analysis. The result indicated that there was a total of 1,415 individual fish representing 29 species belonging to 23 genera and 14 families. The four most dominant fishes varieties in the agricultural conservation areas in terms of amount were Trichogaster microlepis, Trichopodus trichopterus, Pterygoplichthys disjunctivus and Oreochromis niloticus which were distributed at all research stations. These are fish that accessory air-breathing organs tolerate poor quality environments. Species diversity index (H) of fish was in the range of 1.323 to 2.423, evenness index (E) 0.489 to 0.895 and species richness index (d) from 1.135 to 3.919. The cluster analysis of Bray-Curtis similarity index can divide the fish community into 3 clusters, amongst which there were a similarity percentage ranging between 55.42% and 100%

    The Effects of Flood Pulse on the Spatial and Temporal Dynamics of Fish Diversity in the Raphiphat Canal, Thailand

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    This paper analyzes the effects of flood pulse on the spatial and temporal dynamics of fish diversity in the Raphiphat canal, Thailand, resulting from a study carried out in the period from May to December 2021. The fish samples were collected every month, covering the pre-flooded season (May to August) and the flooded season (September to December) on the rainy seasons at eight sampling stations. Fish were caught using cast nets with a mesh size of 1.5 cm and 2.5 cm, and gill nets with a mesh size of ¾ inch, 1.5 inches, and 2 inches. All data were analyzed to find out the fish diversity indices. A multivariate method of cluster analysis was used for data analysis. The result indicated that there was a total of 4,998 individual fish representing 33 species belonging to 25 genera and 14 families. The four most dominant fish varieties in the Raphiphat canal in terms of amount were Puntioplites proctozystron, Barbonymus gonionotus, Cyclocheilichthys enoplos, and Oreochromis niloticus which were distributed at all research stations. For temporal dynamics of fish diversity, the average species richness was 15.74±7.18. The highest species richness was found in August, and the lowest species richness was found in June. The H´ index 2.46±0.47 was found in December to May. The relative evenness index (J´) was 0.91±0.03 and varied between December and May. The cluster analysis each month in the Raphiphat canal can divide the fish community into 5 clusters.

    The study of digital literacy components for youths during the COVID-19 pandemic in Bangkok, Thailand

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    This research paper investigates digital literacy components for youths in Bangkok. The first phase used a qualitative method. The key informants were eight experts in information and communication technology (ICT), human resource (HR), and education. The second phase was to develop the measurement of digital literacy components using the confirmatory factor analysis (CFA) approach with a sample consisting of 1,362 youths in Bangkok. Data collection was conducted through a questionnaire with 52 questions. The results revealed that digital literacy criteria for youths in Bangkok consisted of four factors containing 13 indicators. The first factor and its related access components was three subcomponents, which are i) use of tools and devices; ii) data collection in the cloud; and iii) internet connection. The second factor was understanding components consisting of evaluation, ethics, and legal literacy. The third factor was use of components consisting of safeguarding, search, sharing, and innovation. The fourth factor was creating components consisting of creating weblogs/applications, presenting on website/application, and safeguarding. CFA was employed to test the construct validity of the research latent variables that revealed the harmony correlation of empirical data contained in this research model. These results were employed to develop a digital literacy for youth during the COVID-19 pandemic in Bangkok, Thailand

    MODEL OF DIGITAL LITERACY DEVELOPMENT FOR YOUTHS IN BANGKOK, THAILAND

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    Model of Digital Literacy Development for Youths in Bangkok aims to develop digital literacy for youths in Bangkok by manipulating Research and Development with following research tools: 1) a 5-level-rating scale, which collected data from 1,500 participants in the related sample. The result of research shows that the group of samples had medium level of digital literacy and the most answer from them is that students used these ICT devices to play online games with the mean 4.86, while the least answer from them is that students had fundamental knowledge about legality and security of internet usage with the mean 1.20. 2) Evaluation Form for Model Suitability, which collected data from 18 experts with the mean between 4.52-5.00 that showing this model is the most suitable. For the tool of Qualitative research is the record of group discussion, that collected data from 8 related main informants and the conclusion is that overall of model is good, suitable and possible in practice. It can be applied with complete model and no need to be adjusted.  Article visualizations
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