This study is aimed to prepare the promotion strategy to spawn snow crab resources and create their habitats using SWOT-AHP analysis. Currently, the creation program of spawning and habitat ground (CPSH) of various fisheries resource is a continuing process, however, none of these CPSH can be labeled as being effective in Korea. In order for CPSH to be effective, it must be planned systematically. Therefore, it is necessary for establishing promotion strategy on the CPSH. SWOT-AHP analysis is used to improve explanation ability of SWOT analysis. In this research, we suggested three strategies and 15 implementation plans of the CPSH using SWOT-AHP analysis. It is expected that the economic feasibility, ecosystem and recovery of fisheries resources will improve significantly. Consequently, to increase the performance of CPSH, it is necessary to focus on the developing an efficient and executive promotion strategy on the CPSH.

Currently, environment-friendly and sustainable fisheries are one of the major issues among fisheries authorities. A variety of alternative management policies and projects are going on to enhance fisheries management systems and fishery resources such as a TAC management program and a VDS (Vessel Day Scheme) management scheme for distant water fishing nations in Western and Central Pacific Fisheries Commission (WCPFC) convention area. These kinds of efforts among fisheries management authorities are aimed at limiting fishing capacity or fishing power. In terms of fisheries management, Fishing capacity and fishing power have increased the importance of the impact on a fishery and level of the resources. Increased fishing capacity and fishing power have caused not only depletion of fisheries resource, but also additional fishing cost. therefore, there is a clear need for authorities to manage fishing capacity and fishing power. It is also help ensure the conservation and sustainability of the fishery resources. Because of lack of data, absolute fishing power is difficulty to measure. The notion of relative fishing power is frequently used. In this study, relative fishing power was assessed using Mastuda (1991) method for fishing power index. The raw data for assessment was based on fishermen's logbook data from sampled fishing vessels in coastal snow crab gillnet fishery. Data Envelopment Analysis (DEA) method was used to assess fishing capacity. DEA is a linear programming methodology to measure the efficiency of a set of entities called Decision-Making Units (DMUs). It was recommended by FAO for assessing capacity in fisheries.

This study shows that the distribution density of snow crab, Chionoecetes opilio, was estimated using an underwater video monitoring system attached on the towing sledge. The field experiments were carried out at the coastal waters around Chuksan, East Sea, where ranged from 110 to 130m depth during September and October 2007. The sledge was towed for 40 minutes and the towing speed was controlled between 1.5 to 1.7 knot and each research areas were calculated to multiply towed distance by the detection width of the video monitoring system(1.2m), and then, distribution density of snow crab in each observations were estimated as a counted number of crab per 1,000m2. The result shows that their survey, taken between two months, reflected similar results during survey period, and the maximum and mean distribution densities in September estimated to be 77.0(number/1,000m2) and 19.9, respectively, and those of October were 36.0 and 21.8, respectively.

A series of fishing experiments was carried out in the eastern coastal waters of Korea from January, 2002 to March, 2003, using gill nets of different mesh sizes (m 180, 210, 240, 270 and 300 mm) to determine the size selectivity of gill net for female snow crab, Chionoecetes opilio. The catch of experimental gears was mostly snow crab (97%), Chionoecetes opilio. The maximum carapace length (RL) of each female snow crab caught in the fishing experiments was measured. The master selection curve was estimated by applying the extended Kitahara s method. The selection curve showed that the gill nets of larger mesh size allowed more female crabs of small carapace size to escape. The optimum values of RL/m for 1.0 of retention probability was 0.563 and RL/m was estimated to be 0.249, 0.290, 0.319, 0.344 and 0.367 when the retention probability were 0.1, 0.2, 0.3, 0.4 and 0.5, respectively.

In order to develop the biodegradable monofilament gill net for the protection of marine ecosystem and reduction of ghost fishing, enpol monofilament gill net was made for Chionoecetes opilio using polybutylene succinate as a biodegradable chip. Catching efficiency on 2 type monofilament gill net, PA and Enpol, were carried out using 2 commercial fishing boats around the fishing ground of Wang-dol rock from January 2004 to May 2006. Enpol monofilament gill net spun polybutylene succinate as a biodegradable chip was appeared high practicality for Chionoecetes opilio gill net. Target fishing ratio were 98% and 98.3% for the PA and enpol monfilament gill net, respectively. In addition, CPUE ratio of female and male(CL < 90mm) to Chionoecetes opilio caught in the enpol gill net were 25.3-40.3%, 14.0-22.1% less than PA gill net, respectively. However, CPUE ratio of male(CL > 90mm) to Chionoecetes opilio caught in the enpol gill net were 2.5-11.3% more than PA gill net. There was no difference in CPUE of female and male to Chionoecetes opilio caught using 2 gill nets as a result of the significance level of 5% by T-test.

본 연구에서는 자망에 대한 대게 수컷의 망목선택성을 구명하기 위하여 5종류의 망목 (m = 180, 210, 240, 270, 300㎜)으로 구성된 자망을 제작하고, 2002년 1월부터 2003년 3월까지 경북 죽변항 주변 수역에서 총 12회의 시험조업을 행하였다. 망목선택성 곡선의 계산에 사용될 데이터 확보를 위하여 어획된 대게 수컷의 전수에 대한 최대갑장 RL을 디지털 켈리퍼스를 사용하여 0.1㎜ 단위로 측정하였다. 망목선택성 곡선의 추정에는 Kitahara의 방법을 사용하였다. 대수 망목선택성 곡선의 함수로써 좌우대칭형인 2차식과 좌우비대칭형인 3 차식을 적용하였으며, 최소지승법을 사용하여 각 모델의 파라미터를 추정하였다. 본 연구에서 얻어진 결과를 요약하면 다음과 같다. 1. 자망에 대한 대게 수컷의 망목선택성 곡선은 Model 의 적합도 비교를 통하여 좌우비대칭형인 3 차식이 선택되었다. 2. 망목선택성의 결과는 망목이 커질수록 소형 수게의 혼획이 감소한다는 것을 나타낸다. 3. 망목선택성 곡선은 이하의 수식으로 표현된다. S(R) = S(RL/m) ＝ exp ((44.06 R³- 84.16 R²+ 52.30 R-5.46) - 5.17) 4. 선택률 1을 나타내는 최적 RL/m의 값은 0.549이며, 선택률 0.5, 0.25, 0.2를 나타내는 RL/m은 각각 0.356, 0.296, 0.281로 추정되었다.