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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 葉顯椏 | |
dc.contributor.author | Liang-Kang Lee | en |
dc.contributor.author | 李梁康 | zh_TW |
dc.date.accessioned | 2021-06-13T03:24:18Z | - |
dc.date.available | 2006-08-03 | |
dc.date.copyright | 2006-08-03 | |
dc.date.issued | 2006 | |
dc.date.submitted | 2006-07-27 | |
dc.identifier.citation | Alvarado Bremer, J. R., A. J. Baker and J. Mejuto (1995). Mitochondrial DNA control region sequences indicate extensive mixing of swordfish (Xiphias gladius) populations in the Atlantic Ocean. Can. J. Fish. Aquat. Sci. 52: 1720-1732.
Alvarado Bremer, J. R., I. Naseri and B. Ely (1997). Orthodox and unorthodox phylogenetic relationships among tunas revealed by the nucleotide sequence analysis of the mitochondrial control region. J Fish Biol 50: 540-554. Anon. (1996). Report of the final meeting of the ICCAT albacore research program. Sukarrieta, Vizcaya, Spain, June 1 to 8, 1994. ICCAT Col. Vol. Sci. Pap. 43: 1-140. Anon (1997) Report of the bluefin tuna methodology session. ICCAT Col. Vol. Sci. Pap. 46(1): 187-212. Attardi, G. (1985). Animal mitochondrial DNA: an extreme example of genetic economy. Int Rev Cytol 93: 93-145. Bard, F. X. (1981). Le thon Germon (T. alalunga) de l’ocean Atlantique. These Doc. Sc. Paris., 336pp. Bartlett, S. E. and W. S. Davidson (1991). Identification of Thunnus tuna species by the polymerase chain reaction and direct sequence analysis of their mitochondrial cytochrome b genes. Can j Fish aquat Sciences 48: 309-317. Collette, B. B. and C. E. Nauen (1983). An annotated and illustrated catalogue of tunas, mackerels, bonitos and related species known to date. In FAO SPECIES CATALOGUE, VOL.2 SCOMBRIDS OF THE WORLD. FAO Fisheries Synopsis No. 125, Volume 2. 137p. Compean-Jimenez, G. and F. X. Bard (1983). Growth increments on dorsal spines of eastern Atlantic bluefin tuna, Thunnus thynnus, and their possible relation to migration pattern. U.S. Dep. Commer., NOAA Tech. Rep. NMFS 8: 77-86. DiMarco, S. F., P. Chapman, W. D. Nowlin, P. Hacker, K. A. Donohue, M. Luther, G. C. Johnson and J. M. Toole (2002). Volume transport and property distributions of the Mozambique Channel. Deep-Sea Res II 49: 1481-1511. Excoffier, L., P. E. Smouse and J. M. Quattro (1992). Analysis of molecular variance inferred from metric distance among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131:479-491. Finnerty, J. R. and B. A. Block (1992). Direct sequencing of mitochondrial DNA detects highly divergent haplotypes in blue marlin (Makaira nigricans). Molec mar Biol Biotechnol 1: 206-214. Fonteneau, A. (2004). An overview of Indian Ocean albacore: fisheries, stocks and research. IOTC-2004-WPTMT-02. 22p. Francis, R. I. C. C. (1992). Use of risk analysis to assess fishery management strategies: a case study using orange roughy (Hoplostethus atlanticus) on the Chatham Rise, New Zealand. Can. J. Fish. Aquat. Sci., 49: 922-930. Gavaris, S. (1980). Use of a multiplicative model to estimate catch rate and effort from commercial data. Can. J. Fish. Aquat. Sci. 37: 2272-2275. Gavaris, S. (1988). An adaptive framework for the estimation of population size. Can. Atl. Fish. Sci. Advisory Comm. (CAFSAC) Res. Doc. 88/29. Gonzalez-Garces, A. and A. C. Farina-Perez (1983). Determining age of young albacore, Thunnus alalunga, using dorsal spines. U.S. Dep. Comer., NOAA Tech. Rep. NMFS 8: 117-122. Gordon, A. L. (1985). Indian-Atlantic transfer of thermocline water at the Agulhas Retroflection. Science 227:1030-1033. Gordon, A. L. and J. L. McClean (1999). Thermohaline stratification of the Indonesian seas: model and observations. J. Phys. Oceanogr. 29: 198-216. Gulland, J. A. (1969). Manual of methods for fish stock assessment, Part 1. FAO Manual of Fishery Science, 4, 154-155. Hillis, D. M. and C. Moritz (1990). Molecular systematics. Sinauer Associates. Sunderland. Hsu, C. C. and H. C. Liu (1992). Status of Taiwanese longline fisheries in the Atlantic. ICCAT Col. Vol. Sci. Pap. 39 (1): 258-264. Hsu, C. C. (1999). Standardized abundance index of Taiwanese longline fishery for bigeye tuna in the Atlantic. ICCAT Col. Vol. Sci. Pap. 49 (3): 459-465. Hudson, R. R., M. Slatkin and W. P. Maddison (1992). Estimation of levels of gene flow from DNA sequence data. Genetics 132: 583-589. ICCAT (1999). Albacore – 1998 detailed report. ICCAT Col. Vol. Sci. Pap. XLIX(4): 1-91. ICCAT (2004). 2003 ICCAT albacore stock assessment session (Madrid, Spain, 15-20 September 2003). ICCAT Col. Vol. Sci. Pap. 56 (4): 1223-1311. Innis, M. A. and D. H. Gelfand (1990). Optimization of PCRs. In: MA Innis, DH Gelfand, JJ Sninsky and TJ White eds., PCR protocols – A guide to methods and applications. Academic Press, INC., New York. Pp. 3-12. Kimura, D. K. (1981) Standardized measures of relative abundance based on modeling log (CPUE), and their application to Pacific Ocean perch (Sebastes alutus). J. Cons. Int. Explore, Mer. 39: 211-218. Koto, T. (1969). Distribution and movement of the albacore in the Indian and the Atlantic Oceans based on the catch statistics of Japanese tuna longline fishery. Bull. Far Seas Fish. Res. Lab. 1: 115-129. Lebeau, A. (1971). Etude de la biologie du germon de l’Ocean Indien. Sci. Peche Bull. Inst. Sci. Tech. Peches Marit. Vol. 204, pp. 1-10. (Summary cited from Fonteneau 2004, Annex 1) Lee, L. K. and S. Y. Yeh (1993). Studies on the age and growth of South Atlantic albacore (Thunnus alalunga) specimens collected from Taiwanese longliners. ICCAT Col. Vol. Sci. Pap. XL(2): 354-360. Legault, C. M. and V. R. Restrepo (1999). A flexible forward age-structured assessment program. ICCAT Col. Vol. Sci. Pap., 49(2): 246-253. Leslie, R. W., V. Restrepo and L. L. Antony (2004). Standardized South Atlantic albacore CPUE for the South African baitboat fishery, 1985-2002. ICCAT Col. Vol. Sci. Pap. 56(4): 1504-1524. Liu, H. C. and Y. C. Lee (1990). Stock assessment of albacore resource in the Indian Ocean. Pp. 861-864. In Hirano, R. and I. Hanyu. (eds.) 1990. The Second Asian Fisheries Forum. 991p. Asian Fisheries Society, Manila, Philippines. Lu, C. P., C. A. Chen, C. F. Hui, T. D. Tzeng and S. Y. Yeh (2006a). Population genetic structure of the swordfish, Xiphias gladius (Linnaeus, 1758), in the Indian Ocean and West Pacific inferred from the complete DNA sequence of the mitochondrial control region. Zoological Studies 45(2): 269-279. Lu, C. P., V. Ortiz de Zárate and S. Y. Yeh (2006b). Morphology of rings on otolith and spine characters from North Atlantic albacore of 40-44 cm fork length. ICCAT/SCRS/06/109. McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall. 513p. Miya, M. and M. Nishida (1999). Organization of the mitochondrial genome of a deep-sea fish, Gonostoma gracile (Teleostei: Stomiiformes): first example of transfer RNA gene rearrangements in bony fishes. Mar. Biotechnol. 1: 416-426. Morita, S. (1978). On the relationship between the albacore stocks of the South Atlantic and Indian Oceans. ICCAT Col. Vol. Sci. Pap. 7 (2): 232-237. Nakano, H. (1996a) Review of data collection system for the Japanese longline fishery and problems about standardization of CPUE. ICCAT Col. Vol. Sci. Pap. 43: 159-161. Nakano, H. (1996b). Comparison of standardized longline CPUE of albacore among the oceans and countries. ICCAT Col. Vol. Sci. Pap. 43: 273-275. Nei, M. (1987). Molecular evolutionary genetics. Columbia University Press, New York. Nishida, T. and M. Tanaka (2004). General reviews of Indian Ocean Albacore (Thunnus alalunga). IOTC-2004-WPTMT-03. 8p. Ortiz de Zarate, V., P. Megalofonou, G. De Metrio and C. Rodriguez-Cabello (1996). Preliminary age validation results from tagged-recaptured fluorochrome label albacore in North East Atlantic. ICCAT Col. Vol. Sci. Pap. 43: 331-338. Otsu, T. and R. N. Uchida (1958). Study of age determination by hard parts of albacore from central North Pacific and Hawaiian waters. Fish Bull. 150: 353-363. Partlo, J. M. (1955). Distribution, age and growth of eastern Pacific albacore (Thunnus alalunga). J. Fish. Res. Bd. Can. 12(1): 35-60. Penny, A. J. (1994). Morphometric relationships, annual catches and catch-at-size for South African caught South Atlantic albacore (Thunnus alalunga). Col. Vol. Scient. Pap. Int. Commn Conserv. Atl Tunas, 42(1): 371-382. Pope, J. G. and J. G. Shepherd (1985). Acomparison of the performance of various methods for tuning VPAs using effort data. J. Cons. Int. Explor. Mer. 42, 129-151. Punt, A. E. (1992). Some comments of the approaches used to assess South Atlantic albacore. ICCAT SCRS/92/171. Punt, A. E. (1994). Assessments of the stocks of Cape hakes, Merluccius spp. off South Africa. S. Afr. J. Mar. Sci. 14: 159-186. Quartly, G. D. and M. A. Srokosz (1993). Seasonal variations in the region of the Agulhas Retroflection: studies with Geosat and FRAM. J. Phys. Oceanogr. 23: 2107-2124. Restrepo, V. R. and C. M. Legault (1997). A stochastic implementation of an age-structured production model. ICCAT SCRS/97/59. Rohlf, F. J. (1973). Algorithm 76. Hierarchical clustering using the minimum spanning tree. The Computer Journal 16:93-95. Rohlf, F. J. (1990). NTSYS. Numerical taxonomy and multivariate analysis system, version 1.6. Exeter Publishing Ltd., Setauket, N. Y. Rosel, P. E. and B. A. Block (1996). Mitochondrial control region variability and global population structure in the swordfish, Xiphias gladius. Marine Biology 125: 11-22. Rozas, J., J. C. Sánchez-DelBarrio, X. Messegyer and R. Rozas (2003). DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics 19: 2496-2497. Santiago, J. and H. Arrizabalaga (2005). An integrated growth study for North Atlantic albacore (Thunnus alalunga Bonn. 1788). ICES Journal of Marine Science, 62: 740-749. SAS Institute (1988) SAS/STAT User’s Guide, Release 6.03 Edition, SAS Institute Inc., Cary, North Carolina, USA, 1028 pp. Schneider, S., D. Roessli and L. Excoffier (2000). Arlequin ver. 2.000 : A software for population genetics data analysis. Genetics and Biometry Laboratory, University of Geneva, Switzerland. Shiohama, T. (1971). Studies on measuring changes in the character of the fishing effort of the tuna longline fishery – I. Concentrations of the fishing effort to particular areas and species in the Japanese Atlantic fishery. Bull. Far Seas Fish. Lab. 5: 107-130. Stanley, H. F., S. Casey, J. M. Carnahan, S. Goodman, J. Harwood and K. Wayne (1996). Worldwide patterns of mitochondrial DNA differentiation in the harbor seal (Phoca vitulina). Mol. Biol. Evol. 13(2): 368-382. Stramma, L. and J. R. E. Lutjeharms (1997). The flow field of the subtropical gyre of the South Indian Ocean. J. Geophys. Res. 102: 5513-5530. Tzeng, T. D., S. J. Wang, Y. Chang and S. Y. Yeh (2000) Standardized CPUE trend of Taiwanese longline fishery for northern Atlantic albacore from 1968 to 1998. ICCAT/SCRS/00/170. Ueyanagi, S. (1971). Larval distribution of tunas and billfishes in the Atlantic Ocean. FAO, Fish. Rep. 71(2): 297-305. Uosaki, K. (2004) Updated standardized CPUE for albacore caught by the Japanese longline fishery in the Atlantic Ocean, 1975-2002. ICCAT Col. Vol. Sci. Pap. 56(4):1463-1480. Wu, C. L. and S. Y. Yeh (1999). CPUE standardization for South Atlantic albacore caught by Taiwanese longline fisheries, 1968-1996. ICCAT/ SCRS/98/156. Wu, C. L. and S. Y. Yeh (2004) Standardized CPUE for South Atlantic albacore, Thunnus alalunga, from the Taiwanese longline fishery during 1968-2001. ICCAT Col. Vol. Sci. Pap. 56(4): 1402-1411. Yeh, S. Y. and H. C. Liu (1988). Stock assessment of south Atlantic albacore by using production models, 1967-1986. ICCAT Rec. Doc.Sci., SCRS/88/60. Yeh, S. Y., T. S. Tsou and H. C. Liu (1991). Assessment of the South Atlantic albacore resource by using surplus production models, 1976-1988. ICCAT Col. Vol. Sci. Pap. XXXIV: 166-170. Yeh, S. Y., T. S. Tsou and H. C. Liu (1992). Assessment of the South Atlantic albacore resource by using surplus production models, 1976-1988. ICCAT Col. Vol. Sci. Pap. XXXIV(1): 265-268. Yoshida, H. O. and T. Otsu (1962). Synopsis of biological data on albacore Thunnus germo (Lacepede), 1800 (Pacific and Indian Oceans). In World Scientific Meeting on the Biology of Tunas and Related Species. La Jolla, California, U.S.A., July 1962. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/31913 | - |
dc.description.abstract | Albacore (Thunnus alalunga) is a very abundant and widely distributed temperate tuna species that inhabits mainly inside an oceanic gyre of the World’s Oceans. There are often two gyres in an Ocean, one in the northern hemisphere and the other in the southern hemisphere. Two stocks of albacore have been thus acknowledged in the Pacific and the Atlantic Oceans. In the Indian Ocean, mainly because of lacking a northern gyre, only one albacore stock is postulated.
Land barrier of African continent is not extending southward enough to totally separate two oceanic temperate water masses systems. Instead, shifting frontal boundary of the two oceanic temperate water masses, particularly the Agulhas current off South Africa, is quite often. One of the main purpose of this study is thus to elucidate albacore stock structures in the two oceans by using mitochondria DNA D-loop sequence characters. The results of D-loop sequence character analyses indicated: (1) 866 base pairs are observed in the albacore D-loop segment; (2) a total of 164 albacore specimens in-situ collected from 8 sampling areas in the Indo-Atlantic Oceans, 142 unique haplotypes are identified; (3) Within those 142 unique haplotypes, two specimens (one from the South Atlantic and the other from the Indian Ocean) having the identical haplotype which strongly implies that they possessed the same maternal ancestor; (4) Indicators as haplotype diversity (h), nucleotide diversity (π), pairwise gene flow (Nm), population differentiation (Φct) were adopted and all indicate that albacore from off northern Madagascar is significantly different from those from the Indo-Atlantic Oceans and the slight differences appeared alongside the Indian and the South Atlantic water mass frontal regions imply that there is a certain degree of gene flow existing between the boundary. Growth equation is essential if a proper assessment of the stock is intended. Lee and Yeh (1993) provided a growth equation for Southern Atlantic albacore, derived from ring-reading results on vertebra and 1st dorsal spine cross sections, based on assumptions that a ring is formed per year and the first opaque band is the mark of the first year of age. It was not until recently when some small albacore (40-44cm) otoliths were obtained with its daily ring counts performed (Lu et al., 2006b), these results indicate that the assumption of first opaque ring mark implied the 1st year of age is not correct. For this reason, the data of Lee and Yeh (1993) were re-analyzed in this study for providing a better growth equation of albacore in the South Atlantic. The parameters of von Bertalaffy’s growth equation thus obtained are as follows: L∞ = 147.5 cm; k = 0.126 per year; and t0 = - 1.89 year. Catch and effort statistics of Taiwanese longliners, which is the major fishing fleet able to provide extensive and consistent abundance information for this resource, was standardized by adopting generalized linear model (GLM) for elucidating the historic abundance trend of the South Atlantic albacore from 1968 to 2003. Factors of year, quarter, area and target effect of bigeye tuna were chosen, according to the results of covariates selection procedure, for the application of GLM. The standardized CPUE trend thus obtained shows that a significant decline in the beginning of the fishery (from 1968 to 1973) followed by a slightly increase and leveled off until 1977; after that a decline is observed to the lowest level in 1989; from 1989 to present 2003 the index fluctuate between levels from 5 to 8. For assessing the current stock status of South Atlantic albacore resource, explanatory fittings on Japanese, South African, and Taiwanese CPUE trends were performed by using age structured production model (ASPM) with stochastic recruitment. The prospects of this model indicate that (1) Bmat/ B ratios of the stock from 1959 to 2003 are always greater than unity and the current B /B value of 1.53 is considered rather high and implies that the stock is still in a healthy condition; (2) current exploitable biomass is estimated to be 0.35 that of 1959, which is larger than the threshold (0.20) of biomass to be concerned of; (3) despite of yields in recent years were close to the MSY of this resource, fishing mortality F were always smaller than its corresponding values at MSY , in particular the F2003 is at the level of 80.4 % FMSY. The current status of albacore stock in the South Atlantic can be concluded as in a condition of not being over-exploited. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T03:24:18Z (GMT). No. of bitstreams: 1 ntu-95-D86241005-1.pdf: 3273108 bytes, checksum: 1522d25c00b51fecfc3989b84330d6cc (MD5) Previous issue date: 2006 | en |
dc.description.tableofcontents | Abstracts--------------------------------------------------------------------------------------- ii
1. Introduction------------------------------------------------------------------------------------1 2. Population Structure of Albacore in the Indo-South Atlantic Oceans ---------------- 4 2.1 Sampling and DNA extraction----------------------------------------------------------5 2.2 Mitochondrial DNA amplification and sequencing----------------------------------6 2.3 Data analyses------------------------------------------------------------------------------7 2.4 Results--------------------------------------------------------------------------------------8 2.5 Discussion--------------------------------------------------------------------------------10 3. Stock Assessment on South Atlantic Albacore-------------------------------------------14 3.1 Age and growth of South Atlantic albacore - a revision after the revelation of otolith’s daily ring counts----------------------------------------------15 3.1.1 A revision on ring counts of vertebra------------------------------------------17 3.1.2 Re-justification on missing ring counts in spine age character-------------17 3.1.3 Revised growth parameters -----------------------------------------------------18 3.1.4 Effects of sequentially eliminating sample’s size maximum on L∞ and K---------------------------------------------------------------------------18 3.1.5 Discussion-------------------------------------------------------------------------18 3.2 Historic trend of South Atlantic albacore resource-------------------------------- 19 3.2.1 Data and methods----------------------------------------------------------------21 3.2.2 Results-----------------------------------------------------------------------------23 3.2.3 Discussion-------------------------------------------------------------------------24 3.3 Assessment on current status of South Atlantic albacore------------------------- 25 3.3.1 Data and methods----------------------------------------------------------------28 3.3.2 Results-----------------------------------------------------------------------------30 3.3.3 Discussion-------------------------------------------------------------------------32 4. Conclusions and Recommendation------------------------------------------------------ 35 4.1 Albacore population structure in the Indo-South Atlantic Oceans---------------35 4.2 Stock assessment on South Atlantic albacore---------------------------------------35 References---------------------------------------------------------------------------------------38 Tables-------------------------------------------------------------------------------------------- 46 Figures-------------------------------------------------------------------------------------------63 Plates---------------------------------------------------------------------------------------------86 | |
dc.language.iso | en | |
dc.title | 印度-南大西洋產長鰭鮪資源之系群結構及南大西洋系群之現況評估研究 | zh_TW |
dc.title | Albacore (Thunnus alalunga) population structure in the Indo-South Atlantic Oceans and stock assessment of South Atlantic albacore | en |
dc.type | Thesis | |
dc.date.schoolyear | 94-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 陳志遠,蘇偉成,李健全,許祖法,陳哲聰,鄭利榮,劉錫江 | |
dc.subject.keyword | 長鰭鮪,系群,資源評估, | zh_TW |
dc.subject.keyword | albacore,population structure,stock assessment, | en |
dc.relation.page | 87 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2006-07-29 | |
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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