Review on Size Sampling Frameworks for North Atlantic Albacore of Taiwanese Longline Fleets
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 3
Abstract
This paper dealt with size sampling frameworks undertook by Taiwanese longliners for the purpose of understanding size structure of total North Atlantic albacore catches by Taiwanese fleets. Data sets of sampled size measurements with its corresponding Task2 catch, dating from 1981 to 2016, were used in this analysis. Data sets, based on its appeared yearly characters, can be subdivided into: 1981-1987, 1988-1991, 1992, 1993- 1996, 1997-2000, 2001, 2002-2007 and 2008-2016 eight periods. As a general observation on those indicated the mode of yearly size distribution before 1987 appeared to be 90 cm of fork length while those after 1987 appeared two peaks: one appeared at 85 cm and the other appeared at 105 cm. The size sampling frameworks of only initial 30 fishes, caught by each longline retrieval, were sampled for species identification and size measurement have been undertaking until present. Before mid-1980s, size measurements on albacore were sampled only from albacore-targeted vessels. Since mid-1980s, when the introduction of Taiwanese deep longliners became evident, the measured albacores were from either traditional albacore-targeted vessels or deep bigeye-targeted vessels. Different proportion on sampling between two types of longliners brought different uncertainty elements into measuring frameworks for understanding representative yearly size structure. The recent introduction of e-logbook reporting frameworks, led by bigeye-targeted longliners since 2006, further complicated the situation by reporting all catches, not initial 30 fishes. For better understanding the nature and its limitations of those Taiwanese yearly sampled North Atlantic albacore size measurements, authors analyzed data sets for minimizing uncertainties arouse from those years of low recovery logbooks.
Authors and Affiliations
Feng-Chen Chang
Keywords
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- EP ID EP393931
- DOI 10.9790/9622-0803053339.
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