臺灣博碩士論文加值系統

本研究利用2005-2021年印度洋鮪延繩釣回報的漁業資料(logbook)進行黃鰭鮪(Thunnus albacares)漁獲量以及努力量資料進行分析。研究內容採用兩階段群集分析法(Two step Cluster analysis) 方式，針對台灣印度洋大型鮪延繩釣漁業的漁獲中主要七個魚種(大目鮪、黃鰭鮪、長鰭鮪、南方黑鮪、劍旗魚、鯊魚及其他魚類) 的漁獲所組成的比例 (以尾數計算)，再以漁撈漁獲物的主要漁獲進行分組，並了解漁獲物是否可以辨認不同的漁撈區域以及區分黃鰭鮪主要漁區。此外為了避免產生零漁獲對於標準化模式影響，對此採用Delta-lognormal model（DLN）來進行黃鰭鮪魚 CPUE的標準化進行分析。結果顯示黃鰭鮪的主要捕獲區域南北緯上下10°區域以及東經30°-40°之間。
本研究資料分析以R程式語言進行運算，結果顯示漁獲努力量有呈現逐年增加的情形，此外分析黃鰭鮪標準化(CPUE)在時間序量下的結果顯示印度洋部分熱帶區塊黃鰭鮪捕獲量有顯示小規模遞減的情形。

In this study, we analyzed the catch and effort data of yellowfin tuna (Thunnus albacares) by using the logbook of Indian Ocean tuna longline fishery data from 2005-2021. In this study, the two Two-step Cluster analysis were conducted to measure the catch effort. A total of 7 species or species groups were measured, namely Bigeye Tuna (Thunnus obesus), Yellowfin tuna (Thunnus albacares), Albacore (Thunnus alalonga), Southern Bluefin Tuna (Thunnus maccoyii), Billfishes, Sharks and other fishes. The Cluster analysis method was used to group the main catches of the fishing vessels and to determine whether the catches could identify different fishing areas and also distinguish the main fishing areas of the yellowfin tuna. Additionally, in order to avoid the effect of zero catch data showing the effect on the standardization model, the Delta-lognormal model (DLN) was used to analyze the standardization of CPUE of yellowfin tuna.
All analyses of the data were conducted by suing R source Code. The results showed that the main catch areas for Yellowfin tuna distributing at the area of 10° North and South Latitude and between 30°-40° East Longitude. There is a slightly increase in catch effort, and the analysis of Yellowfin tuna standardization (CPUE) at time series showed a small decrease in Yellowfin tuna catch in some tropical areas of the Indian Ocean.

目錄
摘要 I
Abstract II
目錄 IV
表目錄 V
圖目錄 VI
第一章：　前言 1
1.1 印度洋黃鰭鮪漁業作業概況 1
1.2 黃鰭鮪魚外部型態與分部特性 2
1.3 研究動機與目的 3
第二章：　材料方法 4
2.1 台灣延繩釣漁業概況分析及資料來源 4
2.2 聚集分析法 cluster 定義 5
2.3 CPUE 標準化 5
2.4 黃鰭鮪 CPUE標準化方法 6
第三章：　研究結果 8
3.1 台灣延繩釣漁業赴印度洋作業之概況分析 8
3.2 印度洋黃鰭鮪漁獲量及以及CPUE 之分布 8
3.3 黃鰭鮪聚集分析之結果 9
3.4 黃鰭鮪CPUE之標準化 9
第四章：　討論以及建議 11
4.1 數據效度以及資料完整 11
4.2 CPUE 研究的一致性以及完整性 11
4.3 IOTC合併CPUE結果與本研究針對聚集分析說明以及未來研究方向 11
第五章：　結論 12
參考文獻 13
附錄一：Appendix I: Indian ocean Yellow fin tuna status of the stock 55
附錄二：Working Party on Tropical Tunas (WPTT) 57
 
表目錄
Table 1. 印度洋台灣大型鮪延繩釣歷年努力量之各項統計值 17
Table 2. 印度洋海域黃鰭鮪歷年漁獲量之相關統計值 18
Table 3. 2005-2021年印度洋黃鰭鮪DLN模式標準化CPUE 19
Table 4. 印度洋黃鰭鮪R2分區之DLN模式ANOVA分析表 23
Table 5. 三大洋黃鰭鮪於出口數值 27
 
圖目錄
Figure 1.印度洋台灣大型鮪延繩釣漁業努力量分布 28
Figure 2. 印度洋台灣大型鮪延繩釣漁業努力量分布圖（2005-2021） 29
Figure 3. 印度洋台灣大型鮪延繩釣漁業每筐鉤數分布圖(每五年) 30
Figure 4. 2005-2021年印度洋台灣鮪延繩釣漁業黃鰭鮪漁獲量分布圖 33
Figure 5. 2005-2021年印度洋台灣鮪延繩釣漁業黃鰭鮪CPUE分布圖 34
Figure 6. 2005-2021年印度洋台灣鮪延繩釣漁業黃鰭鮪努力量及漁獲量時間序列圖 35
Figure 7. 2005-2021年印度洋台灣鮪延繩釣漁業黃鰭鮪名目CPUE時間序列圖 36
Figure 8. 印度洋黃鰭鮪定義漁區之分區圖 37
Figure 9. 台灣大型鮪延繩釣漁船黃鰭鮪R2漁區之最適群集數 38
Figure 10. 台灣大型鮪延繩釣漁船黃鰭鮪R3漁區之最適群集數 39
Figure 11. 台灣大型鮪延繩釣漁船黃鰭鮪R4漁區之最適群集數 40
Figure 12. 台灣大型鮪延繩釣漁船黃鰭鮪R5漁區之最適群集數 41
Figure 13. 台灣鮪延繩釣黃鰭鮪魚R2漁區之作業群集分析樹狀圖 42
Figure 14. 台灣鮪延繩釣黃鰭鮪魚R3漁區之作業群集分析樹狀圖 43
Figure 15. 台灣鮪延繩釣黃鰭鮪魚R4漁區之作業群集分析樹狀圖 44
Figure 16. 台灣鮪延繩釣黃鰭鮪魚R5漁區之作業群集分析樹狀圖 45
Figure 17. 2005-2021年台灣鮪延繩釣黃鰭鮪定義漁區之各群集歷年魚種組成R2 46
Figure 18. 2005-2021年台灣鮪延繩釣黃鰭鮪定義漁區之各群集歷年魚種組成R3 47
Figure 19. 2005-2021年台灣鮪延繩釣黃鰭鮪定義漁區之各群集歷年魚種組成R4 48
Figure 20. 2005-2021年台灣鮪延繩釣黃鰭鮪定義漁區之各群集歷年魚種組成R5 49
Figure 21. 2005-2021年印度洋黃鰭鮪DLN模式標準化CPUE趨勢圖 50
Figure 22. 印度洋黃鰭鮪delta-lognormal模式殘差分布圖 51
Figure 23. 印度洋黃鰭鮪delta-lognormal模式Q-Q plot 52
Figure 24. 2003-2021年三大洋黃鰭鮪出口噸數及出口值 53
Figure 25. 受海盜或非法武力威脅高風險海域：南緯十度以北、東經七十八度以西之印度洋海域
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