• 한국수산과학회지
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• 제29권5호
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• pp.709-715
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• 1996

가막만의 굴양식장 환경용량을 산정하기 위해 생태계 모델을 이용하여 월별 기초생산력을 산정하고 년간 식물플랑크톤의 생산량을 구하여 얼굴로서의 전환계수를 사용하여 굴의 최대 생산 가능량 즉 환경용량을 산정 하였다. 1994년 6월부터 1995년 3월까지 굴양식기간 동안의 가막만 전체에서의 식물플랑크톤 생산량은 181,594 tonC이였고 최대 알굴 생산가능량은 287,033 ton이었고 단위용적당 생산가능량은 $0.29kg/m^3/year$였다. 가막만내에서 굴양식시설이 되어 있는 공간에서의 년간 최대 알굴생산 가능량은 15,443 ton이고 1994년도 실제 알굴생산량은 4,532 ton이므로 굴양식장 환경용량의 약 $29\%$에 해당되었고 1987년도 생산량은 14,592 ton이므로 환경용량의 $95\%$에 해당되었다. 따라서 다른 굴양식장 관리조건만 허용된다면 가막만에는 굴양식시설대수를 증가시키면 생산량이 더 증가할 수 있는 해역으로 평가되었다.

• 수산경영론집
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• 제29권2호
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• pp.143-161
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• 1998

The objective of this study is to analyze the effects of increase in the oyster hatchery on fishermen's income. The results of the analysis are as follows : \circled1 The necessary quantities of oyster seed are 18,000 thousand hanging line. The 29.4%, of that has been applied by ana-seed collection and 29.1% of that has been applied by proseed collection. The demage of oyster aquaculture business is estimated about 35 billion won or 83 billion won. \circled2 The production cost per hanging line of the oyster hatchery is 1,974 won. And if it is sold by 2,500 won, return on investment will be 31.9%. Therefore profitability of the oyster hatchery is very good. \circled3 There are four important determinant variables of profitability to the oyster hatchery. In the order of their effects, it is operation number, seed price, production cost, and quantity of production. \circled4 If differences of price between the artificial hardening oyster seed and the natural hardening oyster seed are more less 1,430 won, the former is better. \circled5 The necessarily quantities of the oyster hatchery are estimated 160 units in the scale of 10,000 hanging line production to one operation. \circled6 The effect of increasing income of fishermen are estimated about 85.3 billion won or 124.5 billion won from increase in the oyster hatchery.

• Ocean and Polar Research
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• 제34권2호
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• pp.185-195
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• 2012

This paper focused on forecasting a short-term production of oysters, which have been farmed in Korea, with distinct periodicity of production by year, and different production level by month. To forecast a short-term oyster production, this paper uses monthly data (260 observations) from January 1990 to August 2011, and also adopts several econometrics methods, such as Multiple Regression Analysis Model (MRAM), Seasonal Autoregressive Integrated Moving Average (SARIMA) Model, and Vector Error Correction Model (VECM). As a result, first, the amount of short-term oyster production forecasted by the multiple regression analysis model was 1,337 ton with prediction error of 246 ton. Secondly, the amount of oyster production of the SARIMA I and II models was forecasted as 12,423 ton and 12,442 ton with prediction error of 11,404 ton and 11,423 ton, respectively. Thirdly, the amount of oyster production based on the VECM was estimated as 10,425 ton with prediction errors of 9,406 ton. In conclusion, based on Theil inequality coefficient criterion, short-term prediction of oyster by the VECM exhibited a better fit than ones by the SARIMA I and II models and Multiple Regression Analysis Model.

• 한국수산과학회지
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• 제18권2호
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• pp.180-194
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• 1985

The author investigated the history of oyster culture in Korea through examining old books and reports dealing with the fishery. Oysters have been produced in the all coastal areas in Korea, especially the center areas of production were the Hwangupo (Hamkyongbuk-do), Younghungman (Hamkyongnam-do), the estuary of Nakdonggang (Kyongsangnam-do), Kwangyangman, Haechangman, the estuary of Yongsangang (Chollanam-do), Yonghoto (Hwanghae-do) and the estuary of Uprockgang, where the large size oyster (more than 40cm in shell height) inhabited in form of groups. It was called by nine different names in the old times, Gul, Seukhwa and Moryeo were the most common names. The oyster was used as 46 kinds of medicinal stuff. The habitat forms of natural oyster can be distinguished to two types; one is that oyster is exposed to the air during the period of low tide (A-type), another is that oyster is not (B-type). The first oyster culture by the old books in Korea was started about 530 years ago as the bottom culture method derived from the A-type of oyster. After long years, the hanging culture method might have been started from the hint of the habitat form of B-type. The oyster culture in Korea developed based on the habitat forms of natural oyster at the biginning of 1900s. After World War II, the Korean government strongly recommded the laver farmers to culture oyster as relief measures. At that time, the stone culture method was mainly adopted. The quantity of oyster production is now about $15{\times}10^6{\sim}19{\times}10^6\;\frac{M}{T}$, and the half of oyster production including seed oyster is exported to the foreign countries.

• 한국패류학회지
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• 제29권4호
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• pp.283-289
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• 2013

In order to improve oyster farming condition, estimation of food availability (CC) was carried out in Garorim Bay, Seosan, Korea. The primary production of the waters were ranged from 0.07 to $0.26gC/m^2/day$. A strong tendency was observed that the inner side of the bay was higher at primary production. Estimated food availability was ranged from 0.0424 to 1.655. Temporal shortage in food supply was observed at April with about 15% less than the oysters' requirement, which may be causative of spat mortality after introducing into the farms. Food availability was met the food demand during summer but significant shortage was also observed at after August, which may main causative of retarded oyster fattening in the waters. This study suggested that adjustment of cultural density may be necessary for the improved harvesting of the oyster.

• Fisheries and Aquatic Sciences
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• 제12권2호
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• pp.111-117
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• 2009

To develop sustainable management strategies for oyster farms in Pukman Bay, Korea, we estimated primary production using a numerical model. Because oysters are filter feeders, estimations of primary production (PP) are essential in developing management strategies. The daily PP ranged from 0.07 to 1.5 gC/$m^2$/d and showed significant spatial variations. The spatial distribution of PP was strongly associated with hydrodynamic features, and distinct patterns were observed in three different regions. In the inner bay, high PP was directly influenced by urban and agricultural sewage. The middle part of the bay had low PP, whereas PP in the outer area was high. PP was relatively low during the main oyster growth season, from late autumn to early winter. These findings represent important information for developing a management model for oyster farms in Pukman Bay.

• Preventive Nutrition and Food Science
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• 제18권1호
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• pp.23-29
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• 2013

This study was designed to investigate the anti-inflammatory effect of oyster shell extract on the production of pro-inflammatory factors [NO, reactive oxygen species (ROS), nuclear factor-kappa B (NF-${\kappa}B$), inducible nitric oxide synthase (iNOS) and cycloxygenase-2 (COX-2)] and pro-inflammatory cytokines [Interleukin-$1{\beta}$ (IL-$1{\beta}$), Interleukin-6 (IL-6) and TNF-${\alpha}$] in the lipopolysaccharide (LPS)-stimulated Raw 264.7 cells. Cell viability, as measured by the MTT assay, showed that oyster shell extract had no significant cytotoxicity in Raw 264.7 cells. The treatment with oyster shell extract decreased the generation of intracellular reactive oxygen species dose dependently and increased antioxidant enzyme activities, such as SOD, catalase, GSH-px in LPS-stimulated macrophage cells. Oyster shell extract significantly suppressed the production of NO and also decreased the expressions of iNOS, COX-2 and NF-${\kappa}B$. Additionally, oyster shell extract significantly inhibited the production of IL-$1{\beta}$, IL-6, and TNF-${\alpha}$ in LPS-stimulated Raw 264.7 cells. Thus, these results showed that the oyster shell extract had an anti-inflammatory effect on LPS-stimulated Raw 264.7 cells.

• 수산경영론집
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• 제28권2호
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• pp.87-105
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• 1997

The objective of this study is to analyze the effects of the oyster seed selection on profitability of the oyster aquaculture business The results of the analysis are as follows ; 1) The comparison of profitability among four different oyster seed applied to the four different scale : 1ha, 3ha, 5ha, and 10ha. The results of the comparison show that, for all scale, the artificial oyster seed is more profitable than the natural oyster seed or the natural oyster seed imported from Japan. 2) There are four important determinant variables of profitability to aquaculture business. In the order of their effect, it is oyster price, quantity of production, labor cost, and seed price. 3) If differences of price between the artificial hardening oyster seed and the natural hardening oyster seed are more less 1,430 won, the former is better. 4) The effect of increasing income of fishermen are estimated about 58.5 billion won or 102 billion won from the artificial oyster seed on the oyster aquaculture.

• 수산경영론집
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• 제54권1호
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• pp.37-49
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• 2023

Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.

• 한국환경과학회지
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• 제8권5호
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• pp.575-586
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• 1999

From the environmental aspects, primary productivity of phytoplankton plays the most improtant role in enhancement of marine culture oyster production. This study may be divided into two branches; one is estimation of maximum oyster meat production per unit facility(Carrying Capacity) under the present enviromental conditions in Kamak Bay, the other is improvement of carrying from increase of primary productivity by changing the environmental conditions that cause not ot form an unfavorable environment such as the formation of oxygen deficient water mass using the eco-hydrodynamic model. By simulation of three-dimensional hydrdynamic model and ecosystem model, the comparison between observed and computed data showed good agreement. The results of sensitivity analysis showed that phytoplankton maximum growth rate was the most important parameter for phytoplankton and dissolved oxygen. The estimation of mean primary productivity of Wonpo, Kamak, Pyongsa, and Kunnae culture grounds in Kamak Bay during culturing period were 3.73gC/$m^2$/d, 2.12gC/$m^2$/d, 1.98gC/$m^2$/d, and 1.26gC/$m^2$/d, respectively. Under condition not ot form the oxygen deficient water mass, four times increasing of pollutants loading as much as the present loading from river increased mean primary productivity of whole culture grounds to 4.02gC/$m^2$/d. Sediment N, P fluxes that allowed for 35% increasing from the present conditions increased mean primary productivity of whole culture grounds to 3.65gC/$m^2$/d. Finally, ten times increasing of boundary loadings from the present conditions increased mean primary productivity of whole culture grounds to 3.95gC/$m^2$/d. The maximum oyster meat production per year and that of unit facility in actual oyster culture grounds under the present conditions were 6,929ton and 0.93ton, respectively. This 0.93ton/unit facility is considered to be the carrying capacity in study area, and if the primary productivity is increased by changing the environmental conditions, oyster production can be increased.