한국 동해 생태계의 어획강도 변화에 따른 자원량 예측 연구
A study on the forecasting biomass according to the changes in fishing intensity in the Korean waters of the East Sea
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초록
1980년대부터 과도한 어획능력에 의한 수산자원의 남획으로 과잉어획능력은 전세계적으로 이슈가 되고 있다. 우리나라의 경우에는 정량화가 가능한 어획노력량이 어획강도의 지표로 사용되고 있다. 우리나라 연근해 어업의 수산자원은 어로장비 및 선박의 엔진성능 발달에 따른 과도한 남획과 환경오염으로 인한 생태계의 질적 저하로 생산성이 점차 감소하는 추세이다. 지속가능하고 합리적인 수산자원의 관리를 위해서는 자원량의 변동을 파악하고 현재 자원이 어느 수준에 있는지를 판단하여 미래 자원량을 예측하는 것이 중요하다. 따라서, 본 연구에서는 4가지의 어획노력량 시나리오(, , 0.5×, 1.5×)를 사용하여 어획강도 변화에 따른 향후 20년간(2017~2036년)의 한국 동해 생태계의 자원량을 예측하였다. 이 연구결과는 향후 지속가능한 수산자원 이용을 위한 자원관리방안의 수립 방향을 제시하는데 유용하게 활용될 수 있을 것이다.
Abstract
Overfishing capacity has become a global issue due to over-exploitation of fisheries resources, which result from excessive fishing intensity since the 1980s. In the case of Korea, the fishing effort has been quantified and used as an quantified index of fishing intensity. Fisheries resources of coastal fisheries in the Korean waters of the East Sea tend to decrease productivity due to deterioration in the quality of ecosystem, which result from the excessive overfishing activities according to the development of fishing gear and engine performance of vessels. In order to manage sustainable and reasonable fisheries resources, it is important to understand the fluctuation of biomass and predict the future biomass. Therefore, in this study, we forecasted biomass in the Korean waters of the East Sea for the next two decades (2017~2036) according to the changes in fishing intensity using four fishing effort scenarios; , , 0.5× and 1.5×. For forecasting biomass in the Korean waters of the East Sea, parameters such as exploitable carrying capacity (ECC), intrinsic rate of natural increase (r) and catchability (q) estimated by maximum entropy (ME) model was utilized and logistic function was used. In addition, coefficient of variation (CV) by the Jackknife re-sampling method was used for estimation of coefficient of variation about exploitable carrying capacity (CVECC). As a result, future biomass can be fluctuated below the BPY level when the current level of fishing effort in 2016 maintains. The results of this study are expected to be utilized as useful data to suggest direction of establishment of fisheries resources management plan for sustainable use of fisheries resources in the future.
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