Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand
Thesis (M.Sc.(Research Methodology))--Prince of Songkla University, 2017
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| Language: | English |
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Prince of Songkla University, Pattani Campus
2019
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| Online Access: | http://kb.psu.ac.th/psukb/handle/2016/12165 |
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th-psu.2016-121652019-03-29T20:10:06Z Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand Teerohah, Donroman Apiradee, Lim Faculty of Sciecnce and Technology (Mathematics and Computer Science) คณะวิทยาศาสตร์และเทคโนโลยี ภาควิชาคณิตศาสตร์และวิทยาการคอมพิวเตอร์ Fish Fingerling Abundance Thesis (M.Sc.(Research Methodology))--Prince of Songkla University, 2017 This study aimed to examine pattern variation and find out the association between fish fingerling abundance and season, location, standing crop and some water quality parameters. Data were collected monthly from 10 sampling sites along the Na Thap River from June 2005 to October 2015. Fish fingerling abundance was transformed using square root to maintain normality distribution. Factor analysis was applied to group 58 species of fish. Multiple regression model was used for investigating the association between fish fingerling and month, year, sampling site, standing crop and some water quality parameters. Fish fingerlings were classified by factor analysis into 3 interpretable factors: saltwater, freshwater and ubiquitous species. The results show that month, year, sampling site, standing crop, salinity, dissolved oxygen and transparency were statistically significant associated with fish fingerling abundance. During dry season, the saltwater fish fingerling showed significantly increased from January to May, whereas freshwater fish presented a maximum peak in rainy season from June to December. This finding confirmed that factor analysis and multiple regression analysis can be used for classifying and clustering fish fingerling abundance in established regulation measures for sustaining fish population management. 2019-03-29T07:19:25Z 2019-03-29T07:19:25Z 2017 Thesis http://kb.psu.ac.th/psukb/handle/2016/12165 en_US application/pdf Prince of Songkla University, Pattani Campus |
| institution |
Prince of Songkhla University |
| building |
Khunying Long Athakravi Sunthorn Learning Resources Center |
| continent |
Asia |
| country |
Thailand Thailand |
| content_provider |
Khunying Long Athakravi Sunthorn Learning Resources Center |
| collection |
PSU Knowledge Bank |
| language |
English |
| topic |
Fish Fingerling Abundance |
| spellingShingle |
Fish Fingerling Abundance Teerohah, Donroman Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| description |
Thesis (M.Sc.(Research Methodology))--Prince of Songkla University, 2017 |
| author2 |
Apiradee, Lim |
| author_facet |
Apiradee, Lim Teerohah, Donroman |
| format |
Theses and Dissertations |
| author |
Teerohah, Donroman |
| author_sort |
Teerohah, Donroman |
| title |
Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| title_short |
Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| title_full |
Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| title_fullStr |
Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| title_full_unstemmed |
Statistical Model for Predicting Fish Fingerling Abundance in the Na Thap River of Southern Thailand |
| title_sort |
statistical model for predicting fish fingerling abundance in the na thap river of southern thailand |
| publisher |
Prince of Songkla University, Pattani Campus |
| publishDate |
2019 |
| url |
http://kb.psu.ac.th/psukb/handle/2016/12165 |
| _version_ |
1681754422949969920 |