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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 孫志陸 | |
dc.contributor.author | Hui-Jhen Chen | en |
dc.contributor.author | 陳惠貞 | zh_TW |
dc.date.accessioned | 2021-06-15T04:00:30Z | - |
dc.date.available | 2015-03-10 | |
dc.date.copyright | 2010-03-10 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-02-25 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44988 | - |
dc.description.abstract | 大目鮪(bigeye tuna, Thunnus obesus)為經濟價值極高的大洋性熱帶鮪類,廣泛分佈於三大洋的熱帶及亞熱帶海域。中西太平洋海域的大目鮪資源相當豐富,為多種漁具包括鮪延繩釣、鰹鮪圍網及鰹竿釣等所開發利用,但主要仍以臺灣、日本及韓國鮪延繩釣漁業之漁獲成魚為主,大多數的幼魚則由其他漁具所漁獲,例如鰹鮪圍網等。其中2007年鮪延繩釣漁業約佔大目鮪總漁獲量之57%;鰹鮪圍網漁業約佔大目鮪總漁獲量之27%。
單位努力漁獲量標準化(Standardized CPUE)是最常被用來反應資源豐度的指標之一,但是單位努力漁獲量容易受到時空、環境因子和漁業策略等因素的影響,在引用到生產量模式進行資源評估之前,需藉由單位努力漁獲量標準化,將各種可能影響單位努力漁獲量的因子排除,以獲得較符合真實狀況的資源量變動趨勢。因此,本研究利用泛線性模式(GLM)進行中西太平洋1975年至2007年臺灣遠洋鮪延繩釣及1975年至2006年日本遠洋鮪延繩釣漁業之大目鮪名目單位努力漁獲量標準化,將名目漁獲努力量(nominal effort)轉換為更效漁獲努力量(effective effort)。 以1975至 2007年中西太平洋大目鮪之日本遠洋鮪釣漁業、臺灣遠洋鮪釣漁業、其他國家鮪釣漁業及其他漁業等四組漁業別的年總漁獲量及年總更效漁獲努力量資料,套適ASPIC非平衡生產量模式(non-equilibrium production model)評估此系群之資源狀態,估計最大持續生產量(MSY)為60,710 公噸、相對漁獲死亡率(F/FMSY)為1.74、相對系群生物量(B/BMSY)為1.342,顯示中西太平洋大目鮪資源已處於過漁(overfishing)狀態,目前漁獲量已經超過MSY最適利用水準的兩倍以上,應持續降低漁獲量或漁獲努力量,且該資源狀況仍應持續加以密切監視與評估。 | zh_TW |
dc.description.abstract | Bigeye tuna (Thunnus obesus) is an economically important species, widely distri-buted in the tropical and subtropical waters of Atlantic, Indian and Pacific Oceans. High catch is concentrated in the western and central Pacific Ocean (WCPO), which was har-vested by a variety of fishing gears (including tuna longline, purse-seine and pole-and-line). The major fishing countries of the bigeye tuna is Taiwan, Japan and Ko-rea in which the adult was fished by longliners and the juvenile by other gear types (e.g. purse-seine). 57% of the bigeye tuna catch was taken by longliners, and 27% by purse seiners in 2007.
Standardized catch-per-unit-effort (CPUE) is the most commonly used as an index to reflect stock abundance. To obtain the actual abundance trend, possible factors in-fluencing the catch rate need to be removed by using standardization, because CPUE may differ across time, space, environment and fishing strategy etc. In this study, the generalized linear models (GLM) were applied to standardize the bigeye tuna catch and effort data of Taiwanese distant-water longline fishery from 1975 to 2007 and of Japa-nese distant-water longline fishery from 1975 to 2006 to convert the nominal efforts to effective efforts. The non-equilibrium production model (ASPIC) was then applied to assess the stock status of the bigeye tuna in WCPO, from 1975 to 2007. The results showed that the maximum sustainable yield (MSY) of the stock was 60,710 MT, F/FMSY was 1.74 and B/BMSY was 1.342. Current catches are more than double the MSY, indicating the bigeye tuna stock is overfishing. It is suggested that catch or fishing effort in WCPO for the bigeye tuna have to decrease continuously, and that stock's condition and develop-ment in the fisheries be monitored very carefully. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T04:00:30Z (GMT). No. of bitstreams: 1 ntu-99-R95241204-1.pdf: 879740 bytes, checksum: 7a429cf46d5c6e78d1f5911b33af0409 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 目 錄
頁次 誌 謝 .............................................................. 2 Abstract .............................................................. 4 第一章 前言 ....................................................... 10 1.1大目鮪簡介 ..................................................................................................... 10 1.2大目鮪之漁業概況 ......................................................................................... 10 1.2.1鮪延繩釣漁業 .................................................................................... 11 1.2.2鰹鮪圍網漁業 .................................................................................... 11 1.2.3其他漁業 ............................................................................................ 12 1.3大目鮪之前人研究概況 ................................................................................. 12 1.4泛線性模式 ..................................................................................................... 13 1.5非平衡生產量模式 ......................................................................................... 13 1.6研究動機與目的 ............................................................................................. 14 第二章 材料與方法 ................................................. 16 2.1基本使用資料 ................................................................................................. 16 2.2單位努力漁獲量的標準化 ............................................................................. 17 2.3資源評估 ......................................................................................................... 18 第三章 結果 ..................................................... 21 3.1漁獲量變動情形 ............................................................................................. 21 3.2臺灣遠洋鮪延繩釣漁業的單位努力漁獲量標準化 ..................................... 22 3.3日本遠洋鮪延繩釣漁業的單位努力漁獲量標準化 ..................................... 22 3.4資源評估結果 ................................................................................................. 23 第四章 討論 ..................................................... 25 4.1漁獲量變動情形分析 ..................................................................................... 25 4.2單位努力漁獲量標準化分析 ......................................................................... 26 4.3資源評估分析 ................................................................................................. 29 4.4與前人資源評估研究結果比較 ..................................................................... 31 參考文獻 ........................................................... 36 圖 目 錄 Figure 1. Bigeye tuna Thunnus obesus (Lowe, 1839). (Cited from FAO website)......... 51 Figure 2. The western and central Pacific Ocean convention area (in dashed lines) and the eastern Pacific Ocean. ............................................................................................... 52 Figure 3. Total catch of skipjack, albacore, bigeye and yellowfin tuna in the western and central Pacific Ocean from 1960 to 2007. ...................................................................... 53 Figure 4. Total annual catch of bigeye tuna in the western and central Pacific Ocean by gear types from 1960 to 2007. ........................................................................................ 54 Figure 5. Annual longline catch of bigeye tuna in the western and central Pacific Ocean by major longline fishing countries from 1960 to 2007. ................................................ 55 Figure 6. Annual purse-seine catch of bigeye tuna in the western and central Pacific Ocean by major purse-seine fishing countries from 1960 to 2007. ................................ 56 Figure 7. Total annual catch of bigeye tuna in the western and central Pacific Ocean by major fishing countries from 1960 to 2007. ................................................................... 57 Figure 8. The spatial stratification used in the western and central Pacific Ocean. (Cited from Bigelow et al., 2004) .............................................................................................. 58 Figure 9. Residual histogram of the standardized CPUE for bigeye tuna caught by the Taiwanese distant-water longline fishery from 1975 to 2007, by GLM model with delta lognormal errors. ............................................................................................................ 59 Figure 10. Standardized and nominal bigeye tuna CPUE (number of fish per 1000 hooks) for the Taiwanese distant-water longline fishery in the western and central Pacific Ocean, 1975 to 2007. .................................................................................................................. 60 Figure 11. Residual histogram of the standardized CPUE for bigeye tuna caught by the Japanese longline fishery from 1975 to 2006, by GLM model with delta lognormalerrors. .............................................................................................................................. 61 Figure 12. Standardized and nominal bigeye tuna CPUE (number of fish per 1000 hooks) for the Japanese distant-water longline fishery in the western and central Pacific Ocean, 1975 to 2006. .................................................................................................................. 62 Figure 13. Annual relative biomass and relative fishing mortality rate estimated from the fitted ASPIC model, 1975-2007. .................................................................................... 63 Figure 14. Temporal trend in annual stock status, relative to BMSY (x-axis) and FMSY (y-axis) reference points, for the fitted ASPIC model, 1975- 2007. The colour of the points is graduated from mauve (1975) to dark purple (2007) and the points are labeled at 5-year intervals. The black dot represents the last year of the model (2007). ............ 64 Figure 15. Estimated trajectories of relative biomass from the fitted ASPIC model (including the projections from 2008 through 2012 by reduce yearly fishing mortality rate). Trajectories (—) are shown with approximate 80% confidence intervals (---) from the bootstrap. .................................................................................................................. 65 Figure 16. Estimated trajectories of relative fishing mortality rate from the fitted ASPIC model (including the projections from 2008 through 2012 by reduce yearly fishing mortality rate). Trajectories (—) are shown with approximate 80% confidence intervals (---) from the bootstrap. .................................................................................................. 66 Figure 17. Estimated trajectories of relative biomass from the fitted ASPIC model (including the projections from 2008 through 2012 by reduce yearly total allowable catch). Trajectories (—) are shown with approximate 80% confidence intervals (---) from the bootstrap. .......................................................................................................... 67 Figure 18 Estimated trajectories of relative fishing mortality rate from the fitted ASPIC model (including the projections from 2008 through 2012 by reduce yearly totalallowable catch). Trajectories (—) are shown with approximate 80% confidence intervals (---) from the bootstrap. ................................................................................... 68 | |
dc.language.iso | zh-TW | |
dc.title | 中西太平洋大目鮪之豐度指標標準化及資源評估 | zh_TW |
dc.title | Standardization of abundance indices and stock assessment for the bigeye tuna Thunnus obesus in the western and central Pacific Ocean | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 劉光明,葉顯椏,曾萬年,劉燈城 | |
dc.subject.keyword | 單位努力漁獲量標準化,泛線性模式,資源評估,非平衡生產量模式, | zh_TW |
dc.subject.keyword | Standardized CPUE,generalized linear model,stock assessment,non-equilibrium production model, | en |
dc.relation.page | 71 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-02-25 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 海洋研究所 | zh_TW |
顯示於系所單位: | 海洋研究所 |
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