摘要
根据1960-2002年印度洋黄鳍金枪鱼亲体量-补充量(stock-recruitment,SR)及其表层水温资料,利用Ricker模型,水温分期Ricker模型和模糊逻辑Ricker模型,考察表层加权水温与黄鳍金枪鱼亲体量、补充量之间的关系。研究表明,模糊逻辑Ricker模型拟合效果最好,水温分期Ricker模型次之,均优于原始Ricker模型。水温分期Ricker模型中的暖水月补充量比冷水月大,在黄鳍金枪鱼资源量较低时,暖水条件更有利于种群的繁衍。模糊逻辑Ricker模型得出冷水月和暖水月条件下的极端估计,受水温等外界条件影响,黄鳍金枪鱼的补充量在两条SR曲线间波动。水温等环境条件的变化产生了不同于依赖于密度因素的种群动力过程,限制了原始Ricker模型对亲体补充量关系的描述。
The relationship was examined between weighted sea surface temperature,spawning stock biomass and recruitment for yellowfin tuna（Thunnus albacares） in the Indian Ocean using stock-recruitment（SR） and water temperature data from 1960 to 2002.Three models including Ricker model,water temperature Ricker model and fuzzy logic Ricker model are fitted to the SR data.it was resulted that fuzzy logic model got the best goodness of fit,water temperature Ricker model took the second place and the two former were prior to traditional Ricker SR model.In water temperature Ricker model,the warm month SR curve was superior to that of cool month.Spawner can reproduce more offspring in warm waters under low abundance inferred from a value.Fuzzy logic Ricker model gave the extreme estimate in cool and warm month.The recruitment varied between two SR curves under different water temperature conditions.Non-density dynamics process limit the application of traditional Ricker model to description of SR relationship caused by environmental factors such as water temperature.
出处
《广东海洋大学学报》
CAS
2010年第3期62-66,共5页
Journal of Guangdong Ocean University
基金
国家科技支撑计划(2006BAD09A05)
上海市捕捞学重点学科(S30702)
大洋生物资源开发和利用上海市高校重点实验室开放基金(KF200805)
