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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 劉力瑜(Li-yu Daisy Liu) | |
| dc.contributor.author | Wei-Kang Hsing | en |
| dc.contributor.author | 邢惟綱 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:25:32Z | - |
| dc.date.available | 2020-08-04 | |
| dc.date.copyright | 2020-08-04 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-07-09 | |
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Oecologia, 142(2), 284-295. 柳進城 (2016)。機械業相關指數與外銷訂單金額之聯動：小波同調分析發現的新證據 (碩士論文)。逢甲大學。取自臺灣博碩士論文系統。（系統編號 097TMTC5212002） 陳虹諺 (2011)。群集分析探討臺灣第一與第二核能發電廠撞擊魚群的時間變化 (碩士論文)。國立臺灣大學。取自臺灣博碩士論文系統。（系統編號 097TMTC5212002） 劉力瑜、陳丘原、楊志維、鄭佳綺、吳炳奇、張芯瑜, . . . 賴明信 (2016)。水稻產量區域試驗之 GGE 分析法雙軸圖例釋。作物環境與生物資訊，13 (4): 167-178。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60672 | - |
| dc.description.abstract | 長時間的魚群取樣資料常被用來從事魚類群集隨時間變化的研究，並且能夠納入環境因子探討魚群變化與外在因素間的關聯性。本研究利用於台灣北部核電場出水口透過三層取樣刺網 (trammel sampling net) 以及水下觀察 (underwater visual census) 所得的魚群取樣資料，並且參考魚類資料庫FishBase計算不同取樣時間多面向的生態指標：物種數、個體數、群集平均最大體長、群集平均偏好水溫、群集平均營養階層、群集中具有漁業利用價值魚類比例、以及群集中珊瑚礁魚類比例。 接著本研究透過主成份分析 (principal component analysis) 配合雙軸圖 (biplot) 探討魚類群集 (fish community) 之不同面向生態指標隨時間變化之趨勢，以及生態指標間、生態指標與環境變數間之線性相關性。納入分析的環境因子包含南方震盪指標 (Southern Oscillation Index, SOI)、海水表層溫度 (sea surface water temperature, SST)、以及亂流混合指標 (turbulent mixing index)。結果發現以個體為平均的生態指標，整體可觀察出早晚年份有差異，代表可能因為人為或是環境因素造成魚類群集的變化，而透過水下觀察觀察到的魚類個體平均最大體長與個體平均養階層卻呈現負相關，這部份有待後續研究。 另外本研究透過小波同調分析 (wavelet coherence analysis) 探討魚類群集 (fish community) 生態指標與環境因子間之短暫連動關係 (transient relationship)。結果發現小波分析的結果並未能反映物種數、個體數、群集平均適應水溫與環境因子具有關聯性，其中一個可能的原因為指標變數雜訊過多，較不適合透過小波分析觀察連動性。 | zh_TW |
| dc.description.abstract | Long-term monitored datasets of fish communities are commonly used to investigate the temporal changes of fish assemblages. With these datasets, environmental factors can also be incorporated to reveal the relationships between changes of fish assemblages and environmental factors. In this study, we used the dataset of fish community captured around the outlet areas of nuclear power plants in northern Taiwan by trammel sampling net and underwater visual census to calculate different aspects of fish community indices: the number of species, the number of individuals, average max length, average preferred temperature, average trophic level, the rate of fish for fishery use, the rate of coral reef fish. Features of different species were referred to FishBase (a fish database). Next, we used principal component analysis with biplot to investigate the temporal changes of fish community and the linear relationship between indices of fish community and environmental factors, including Southern Oscillation Index, sea surface water temperature and turbulent mixing index. The results show there are differences between early years and late years in terms of the overall individual average indices. This may due to the influence of environmental changes or anthropogenic pressures. But individually average max length and individually average trophic level are negatively correlated recorded by underwater visual census. The reason can be studied in further researches. We also applied wavelet coherence analysis to investigate the transient relationship between indices of fish community and environmental factors. The results show there is no obvious transient relationship between fish community indices and environmental factors. We speculated too much noise in time series made it difficult to investigate the transient relationship between community indices and environmental variables. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:25:32Z (GMT). No. of bitstreams: 1 U0001-0307202014003400.pdf: 14299961 bytes, checksum: 6e1ff7b747f72e233c30d19ae5dda7a1 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 內容目錄 壹、前言 1 貳、材料與方法 5 一、資料介紹及前處理 5 (一) 魚類群集資料及生態指標計算 5 (二) 環境變數指標 7 (三) 資料缺值估計：卡爾曼濾波器 8 (四) 時間序列去除季節性成份 10 二、統計分析方法 12 (一) 主成份分析與雙軸圖 12 (二) 小波分析 13 參、結果 18 一、群集生態指標與環境變數變化趨勢圖 18 (一) 群集生態指標 18 (二) 環境變數 20 二、不同取樣年份與指標變數之雙軸圖 20 (一) 個體平均生態指標 20 (二) 物種平均生態指標 22 三、物種數、個體數以及環境變數之小波轉換 24 四、個體數以及物種數與環境變數間之小波同調分析 27 (一) 個體數與-SOI 27 (二) 物種數與-SOI 27 (三) 個體數與SST 28 (四) 物種數與SST 28 (五) 個體數與亂流混合指標 29 (六) 物種數與亂流混合指標 30 肆、討論 32 一、兩漁法的生態指標差異原因 32 二、個體平均以及物種平均差異 32 三、變數年份變化趨勢 32 (一) 所有變數整體年份變化趨勢 32 (二) 單一變數的年份長期變化趨勢 33 四、變數間之關聯性 33 五、統計方法探討 35 六、方法應用與未來相關研究建議 36 伍、結論 38 參考文獻 39 圖目錄 Fig. 1.1 小波轉換以及短時距傅立葉轉換的窗格示意圖 44 Fig. 2.1 資料整理及研究流程圖 46 Fig. 2.2 環境變數指標資料整理流程圖 47 Fig. 2.3 卡爾曼濾波器迭代流程圖 48 Fig. 2.4加性模型季節性成份示意圖 49 Fig. 2.5 小波轉換示意圖 50 Fig. 2.6 小波同調分析相位差示意圖 51 Fig. 3.1 從2000到2016年，不同漁法在不同取樣地點的個體數 52 Fig. 3.2 從2000到2016年，不同漁法在不同取樣地點的物種數 52 Fig. 3.3 從2000到2016年，不同漁法在不同取樣地點的群集平均最大體長 53 Fig. 3.4 從2000到2016年，不同漁法在不同取樣地點的群集平均偏好水溫 54 Fig. 3.5 從2000到2016年，不同漁法在不同取樣地點的群集平均營養階層 55 Fig. 3.6 從2000到2016年，不同漁法在不同取樣地點具漁用價值魚類之比例 56 Fig. 3.7 從2000到2016年，不同漁法在不同取樣地點珊瑚礁魚類之比例 57 Fig. 3.8 從2000到2017年的年均環境變數指標 58 Fig. 3.9 三層取樣刺網於遠離核一廠水域 (n1f) 取樣年份之雙軸圖—個體平均 59 Fig. 3.10 三層取樣刺網於靠近核一廠水域 (n1n) 取樣年份之雙軸圖—個體平均 60 Fig. 3.11 三層取樣刺網於遠離核二廠水域 (n2f) 取樣年份之雙軸圖—個體平均 61 Fig. 3.12 三層取樣刺網於靠近核二廠水域 (n2n) 取樣年份之雙軸圖—個體平均 62 Fig. 3.13 水下觀察於遠離核一廠水域 (d1f) 取樣年份之雙軸圖—個體平均 63 Fig. 3.14 水下觀察於靠近核一廠水域 (d1n) 取樣年份之雙軸圖—個體平均 64 Fig. 3.15 水下觀察於遠離核二廠水域 (d2f) 取樣年份之雙軸圖—個體平均 65 Fig. 3.16 水下觀察於靠近核二廠水域 (d2n) 取樣年份之雙軸圖—個體平均 66 Fig. 3.17 三層取樣刺網於遠離核一廠水域 (n1f) 取樣年份之雙軸圖—物種平均 67 Fig. 3.18 三層取樣刺網於靠近核一廠水域 (n1n) 取樣年份之雙軸圖—物種平均 68 Fig. 3.19 三層取樣刺網於遠離核二廠水域 (n2f) 取樣年份之雙軸圖—物種平均 69 Fig. 3.20 三層取樣刺網於靠近核二廠水域 (n2n) 取樣年份之雙軸圖—物種平均 70 Fig. 3.21 水下觀察於遠離核一廠水域 (d1f) 取樣年份之雙軸圖—物種平均 71 Fig. 3.22 水下觀察於靠近核一廠水域 (d1n) 取樣年份之雙軸圖—物種平均 72 Fig. 3.23 水下觀察於遠離核二廠水域 (d2f) 取樣年份之雙軸圖—物種平均 73 Fig. 3.24 水下觀察於靠近核二廠水域 (d2n) 取樣年份之雙軸圖—物種平均 74 Fig. 3.25 不同漁法於不同與樣地點所捕獲個體數的小波功率圖譜 76 Fig. 3.26 不同漁法於不同與樣地點所捕獲物種數的小波功率圖譜 78 Fig. 3.27 不同漁法於不同與樣地點的-SOI小波功率圖譜 80 Fig. 3.28 不同漁法於不同與樣地點的SST小波功率圖譜 82 Fig. 3.29 不同漁法於不同與樣地點的亂流混合指標小波功率圖譜 84 Fig. 3.30 不同漁法於不同與樣地點的小波同調性—個體數與-SOI 86 Fig. 3.31 不同漁法於不同與樣地點的小波同調性—物種數與-SOI 88 Fig. 3.32 不同漁法於不同與樣地點的小波同調性—個體數與SST 90 Fig. 3.33 不同漁法於不同與樣地點的小波同調性—物種數與SST 92 Fig. 3.34 不同漁法於不同與樣地點的小波同調性—個體數與亂流混合指標 94 Fig. 3.35 不同漁法於不同與樣地點的小波同調性—物種數與亂流混合指標 96 Fig. 3.36 不同漁法的個體平均以及物種平均變數皮爾森相關係數矩陣 99 附圖目錄 Fig. S4.1 不同漁法於不同與樣地點的小波同調性—個體平均偏好水溫與SST 101 Fig. S4.2 不同漁法於不同與樣地點的小波同調性—物種平均偏好水溫與SST 103 Fig. S4.3 不同漁法於不同與樣地點的小波同調性— -SOI與SST 105 Fig. S4.4 去除季節成份後的-SOI與SST之小波同調性 106 Fig. S4.5 未去除季節成份後的-SOI與SST之小波同調性 106 表目錄 Table 2.1 不同漁法於不同取樣地點，自2000年到2017年的每年取樣次數 45 附表目錄 Table S2.1 不同魚種所對應到的特徵 107 | |
| dc.language.iso | zh-TW | |
| dc.title | 探討魚類群集變化與環境因子間關聯性之統計分析 | zh_TW |
| dc.title | Statistical Analysis of Temporal Relationships between Fish Community and Environmental Factors | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 陳虹諺(Hungyen Chen) | |
| dc.contributor.oralexamcommittee | 邵廣昭(Kwang-Tsao Shao) | |
| dc.subject.keyword | 魚類群集,主成份分析,雙軸圖,小波分析, | zh_TW |
| dc.subject.keyword | fish community,principal component analysis,biplot,wavelet analysis, | en |
| dc.relation.page | 119 | |
| dc.identifier.doi | 10.6342/NTU202001294 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2020-07-09 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 農藝學研究所 | zh_TW |
| 顯示於系所單位： | 農藝學系 | |
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