확장 SELECT 모델을 사용한 그물통발의 낙지(Octopus minor)에 대한 망목선택성에 관한 연구
A study on mesh selectivity for Octopus minor in net pot using the extended SELECT model
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본 연구는 그물통발에 있어 낙지를 대상으로 확장 SELECT 모델을 사용하여 선택성을 분석하였다. 분석에 사용한 자료는 6가지 망목크기 (16, 18, 20, 22, 24, 26 mm)에 대해 원통형 낙지통발을 사용하여 2009년 ~ 2010년 10회 시험한 자료를 사용하였다. 선택성 분석은 조우 확률(Split parameter)의 추정 여부에 따라 -fixed split model과 -estimated split model 두 모델을 사용하여 분석하였으며, 모델이탈도와 AIC 값의 크기를 비교하여 적합도를 분석하였다. 시험결과, 낙지는 망목이 커짐에 따라 어획량이 감소하고, 큰 개체가 어획되는 일반적인 경향을 나타내었으며, 망목이 가장 작은 16 mm 통발은 전체 낙지어획량 중 마리수 기준 25.9%의 어획량을 나타내었으며, 상업통발인 22 mm 통발은 14.1%를 나타내었다. 중량기준의 CPUE는 18 mm 통발이 가장 큰 값을 나타내었다. 선택성 분석결과는 -estimated split model이 -fixed split model 보다 적합도가 우수하였으며, 22 mm 통발의 50% 선택체장(외투장)의 크기는 64.57 mm로 나타났다. 따라서 선택성은 다양한 모델에 의한 분석과 결과의 비교를 통해 신뢰도를 고려할 필요가 있다.
Abstract
This study analyzed the selectivity of Octopus minor using the extended SELECT model in netpots. The data used for the analysis were collected from ten sea trials conducted between 2009 and 2010 using cylindrical octopus traps with six mesh sizes (16, 18, 20, 22, 24, and 26 mm). The selectivity analysis was performed using two models: the p-fixed split model and the p-estimated split model, depending on whether the encounter probability (split parameter) was estimated. The model fit was evaluated by comparing the model deviation and AIC values. The results showed that octopus catch decreased as mesh size increased, with a general tendency for larger individuals to be caught. The 16 mm trap, which had the smallest mesh size, accounted for 25.9% of the total octopus catch by number of individuals while the 22 mm trap, a commercial mesh size, accounted for 14.1%. The CPUE based on weight was highest for the 18 mm trap. The selectivity analysis results indicated that the p-estimated split model provided the best fit, and the 50% selection length for the 22 mm trap was 64.57 mm. In this study, reliability of various models was considered in the mesh selectivity analysis, and the findings are intended to serve as basic data for improving relevant regulations and deriving scientific research results.
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