基于CEDA和ASPIC软件的南大西洋长鳍金枪鱼渔业资源评估研究

Stock Assessment for the Albacore Fishery in the Southern Atlantic Ocean Base on CEDA and ASPIC Programs

剩余产量模型是最简单和应用最广泛的渔业资源评估模型之一。CEDA(catch-effort data analysis)和ASPIC(a surplus-production model incorporating covariates)是使用非平衡剩余产量模型对渔业产量和捕捞努力量数据进行分析的计算机软件。根据中国台湾延绳钓渔业的单位捕捞努力量渔获量(CPUE)数据,利用CDEA和ASPIC软件对南大西洋长鳍金枪鱼(Thunnus alalunga)渔业进行研究。结果显示,CEDA中使用对数正态误差假设的Fox模型产生了最大的R2值以及最接近ASPIC分析结果的种群参数值,但是CEDA得到的R2值低于ASPIC。CEDA对不同初始B1/K值的反应比ASPIC敏感。ASPIC中Logistic产量模型对不同初始B1/K值的反应比Fox模型更加灵敏。CEDA和ASPIC得出的最大可持续产量基本一致。

Surplus production model is one of the simplest and most widely used models in fish stock as- sessment and fisheries management. The CEDA （catch and effort data analysis） and ASPIC （a surplus- production model incorporating covariates） programs are used to analyze fishery yield and catch effort on the basis of the non-equilibrium surplus production model. According to the catch per unit effort （CPUE） of longline fishery in Taiwan, China, we applied the CEDA and ASPIC to the analyze the al- bacore （Thunnus alalunga） fishery in the southern Atlantic Ocean. In the CEDA the Fox surplus pro- duction model with log-normal error assumption produced the highest R2 value and the results were close to those of the ASPIC. However, the CEDA produced lower R2 values than the ASPIC. The CE- DA was sensitive to the initial values. In the ASPIC the Logistic production model was more sensitive to the choice of initial values than the Fox model. Both the programs produced similar result in terms of the CPUE.