• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.409-410
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• 2001

태평양 해 역은 1985∼1997년간 우리나라 연승어업에 의한 다랑어류 평균 어획량의 55％를 차지하는 중요한 해역으로 눈다랑어와 황다랑어가 전체 어획량의 82.2％ 차지 하고 있다. 따라서 다랑어 연승어업의 중요 어장인 태평양 해역에 대하여 서부∼동부 해역의 적도 주변에서 한국 다랑어 연승어업에 의해 주로 어획되는 황다랑어와 눈다랑어를 대상으로 풍도 변동, 연직분포, 어획 적수온, 수온 변동에 따른 분포 특성 등을 밝혀 동 해역에서 조업하는 다랑어 연승어업의 과학적인 어장 정보 제공과 다랑어류 자원의 효율적 이용 및 관리에 기여하고자 한다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2003.05a
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• pp.291-292
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• 2003

한국 다랑어 연승어업은 1957년 인도양, 1958년 태평양에서 각각 시험조업을 실시한 이후 1960년대 중반부터 실질적인 조업이 시작되었다. 태평양 해역은 1985∼1997년간 한국 연승어업에 의한 다랑어류 년 평균 어획량의 55%를 차지하는 중요한 해역으로 눈다랑어와 황다랑어가 한국 전체 어획량의 82.2% 차지하고 있고, 이중 황다랑어는 20∼40%를 차지하고 있다. (중략)

• Environmental and Resource Economics Review
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• v.28 no.3
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• pp.415-435
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• 2019

The purpose of this study is to analyze the returns to scale by estimating the bigeye tuna production function of Korean distant longline fisheries in WCFPC waters. In the analysis, number of crews, vessel tonnage, number of hooks, and bigeye tuna biomass are used as input variables and the catch amount of bigeye tuna is used as an output variable in the Cobb-Douglas production function. Prior to the function estimation, the biomass of bigeye tuna was estimated by the Bayesian state-space model. Results showed that the fixed effect model was selected based on the hausman test, and vessel tonnage, hooks, and biomass would have direct effects on the catch amount. In addition, it was shown that the bigeye tuna distant longline fisheries in WCFPC water would have increasing returns to scale.

• Korean Journal of Ichthyology
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• v.20 no.2
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• pp.105-111
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• 2008

A pelagic tuna longline research cruise in the eastern and central Pacific Ocean from September to October of 2006 was conducted to compare catch rates with the use of different hook type and bait combinations. Traditional tuna hooks (J 4) and three circle hook types (C15, C16, C18), along with five bait types (chub mackerel (CM), jack mackerel (JM), milkfish (MF), sardine (SD), and squid (SQ)) and hook number as a proxy for hook depth were evaluated for their effect on bigeye tuna catch rates (fish per 1,000 hooks) using Generalized Linear Models (GLMs). Results from 28 sets indicated significant differences in bigeye catch rates between individual longline sets and hook number. The GLM explained 33% of the deviance in bigeye catch rates with these two factors. An alternative model formulation included bait type which had a small effect (explaining 2.7% of the deviance) on catch rates. Hook type had a negligible and non-significant effect in the GLMs. These results indicate that all of the hooks and baits tested are equally effective at catching bigeye tuna and that hook number (depth) was the paramount operational factor in explaining bigeye tuna catch rates.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.350-351
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• 2000

선망어업에 의해 어획되는 다랑어 어군은 연승어업과는 달리 주로 표층에서 유영, 이동, 또는 섭이하는 가다랑어나 황다랑어 무리로 이들의 분포 특성을 감안하면, 해수의 표층수온 등 해양환경 변화는 선망어업의 어획량, 단위노력당어획량 및 종조성등에 상당한 영향을 미칠 것으로 추정된다. 한편, Lehodey (1997)는 미국의 선망어획자료를 이용하여 엘니뇨가 가다랑어의 분포에 직접적인 영향을 미친다고 발표한 바 있다. 본 논문에서는 국립수산진흥원에서 1995-1998년간 한국 다랑어 선망어선으로부터 수집한 어획 자료를 이용하여 최근의 해양환경 변동에 따른 한국 선망어업의 어장변동 및 조업특성에 대해서 서술하고자 한다. (중략)

• Korean Journal of Fisheries and Aquatic Sciences
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• v.30 no.5
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• pp.719-729
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• 1997

Stomach contents of bigeye tuna, Thunnus obesus, and yellowfin tuna, Thunnus albacares, caught by longlining in the western tropical Pacific were analyzed to examine their foods and to compare their feeding behavior. The food species of both bigeye and yellowfin tunas were primarily fishes, crustaceans, and cephalopods. A total of 15 fish, 6 crustacean, and 1 cephalopod species were identified from their stomach contents, of which lantern fish (Myctophum sp.) was the most important food for both tuna species. No significant differences in species composition of food items between bigeye and yellowfin tunas were observed, indicating that in the same habitat the tunas have a similar feeding behavior. However, while they showed a remarkable similarity in diet composition, significant quantitative differences on the basis of IRI values were observed in several diet species, such as Myctophidae, Alepisauridae, Oplophoridae, Gammaridae, and Onychoteuthidae.

• Proceedings of the Korean Aquaculture Society Conference
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• 2006.05a
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• pp.206-207
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• 2006

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.44 no.3
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• pp.194-206
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• 2008

This study standardized catch per unit effort(CPUE) of the Korean longline fishery, which has been used to assess the status of stock as an index of abundance, for bigeye and yellowfin tunas in the Indian Ocean. The Generalized Linear Model(GLM) was used to analyze the fishery data, which were catch in number and effort data collected each month from 1971 to 2007 by $5\;{\times}\;5$ degree of latitude and longitude. Explanatory variables for the GLM analysis were year, month, fishing area, number of hooks between floats(HBF), and environment factors. The HBF was divided into three classes while the area was divided into eight subareas. Although sea surface temperature(SST) and southern oscillation index(SOI) were considered as environmental factors, only SST was used to build a model based on statistical significance. Standardized CPUE for yellowfin tuna showed a declining trend, while nominal CPUE for the species showed an increasing trend.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.39 no.4
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• pp.305-317
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• 2003

Underwater shape and hook depth in tuna longline gear are important factors to decide fishing performance. It also should be considered that management and analysis of hooked rate data from hooked fish species and sizes, and each fishing would be used as a reference data in the future fishing. In this research, after analyzing underwater shape of tuna longline gear by current direction and speed using simulation, experiments were executed in flume tank to verify accuracy of the analysis. Also using the depth of each hook from the simulation, a database system was setup to process the data of bait and hooked fish species. The results were as follows；1. When the attack angle and the shortening rate are fixed, a decrease of the hook depth is proportion to an increase of current speed. 2. When the shortening rate and current speed are fixed, a decrease of hook depth is proportion to an increase of attack angle. 3. When the attack angle and velocity of flow are fixed, a decrease of hook depth is proportion to an increase of shortening rate 4. As a result of comparison between the underwater shape by simulation and that by model gear, the result of the simulation was very close to that of model gear within $$ {\pm}3%$$ 3% error range. 5. In this research, hooked rate database system using hook depth of simulation can analyze the species and size of fish by the parameter; bait. hook depth, so It could be helpful to manage and analyze the hooked data on the field.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.43 no.6
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• pp.740-746
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• 2010

This study standardized the catch per unit effort (CPUE) of bigeye tuna (Thunnus obesus) caught by the Korean longline fishery in the Pacific Ocean. The study used a general linear model (GLM) to standardize the CPUE using catch and effort data aggregated by year, month, and $5{\times}5$ degrees of latitude and longitude in the tropical Pacific Ocean from 1982 to 2008 (except for 1988 and 1989). Explanatory variables in the GLM analysis included year, month, subtropical area, and number of hooks between floats (HBF). The study area and HBF were subdivided into three subtropical areas and six classes, respectively. During the study period, the standardized CPUE was significantly related to the nominal CPUE. The standardized CPUE declined sharply, as compared to the nominal CPUE, after the mid 1990s. In particular, the decline in the standardized CPUE in all subtropical areas in the 2000s was clearer than that of the nominal CPUE.