The Pacific saury(Cololabis saira)is one of the major harvested species in the temperate waters of the northwestern Pacific Ocean(NPO).The Catch-MSY model uses catch data and basic life history information to estimate...The Pacific saury(Cololabis saira)is one of the major harvested species in the temperate waters of the northwestern Pacific Ocean(NPO).The Catch-MSY model uses catch data and basic life history information to estimate the Maximum Sustainable Yield(MSY)for data-limited fisheries.Since there is considerable uncertainty in the current status of the Pacific saury stock in the NPO,the Catch-MSY model was used in this study to estimate MSY on the basis of catch data and life history information from the North Pacific Fisheries Commission(NPFC).During the process,17 scenarios,according to different prior distributions of the intrinsic rate of increase(r)and carrying capacity(K),were set for sensitivity analysis.Moreover,the influence of different catch time series and different process errors were taken into account.The results show the following:(1)there was a strong negative correlation relationship between ln(r)and ln(K);the MSY increases with an increase in the lower limit of r;(2)The time series of catch data had a limited impact on the assessment results,whereas the results of the model were sensitive to the annual catch in the first and last years;(3)The estimated MSYs of the Pacific saury were 47.37×10^4 t(41.57×10^4 t to 53.17×10^4 t)in scenario S1A and 47.53×10^4 t(41.79×10^4 t to 53.27×10^4 t)in scenario S1B.Given the uncertainty of the Catch-MSY model,maintaining a management target between 50×10^4 t and 70×10^4 t was a better management regulation.This study shows that the Catch-MSY model is a useful choice for estimating the MSY of data-limited species such as the Pacific saury.展开更多
秋刀鱼(Cololabis saira)是重要的捕捞对象之一,全面掌握秋刀鱼渔业资源与渔场学是可持续利用和科学管理的基础。本文以1995—2020年Web of Science(WOS)核心合集数据库中涉及到秋刀鱼渔业资源与渔场学研究的文献为样本,采用了Citespac...秋刀鱼(Cololabis saira)是重要的捕捞对象之一,全面掌握秋刀鱼渔业资源与渔场学是可持续利用和科学管理的基础。本文以1995—2020年Web of Science(WOS)核心合集数据库中涉及到秋刀鱼渔业资源与渔场学研究的文献为样本,采用了Citespace文献计量软件,对文献量的年度变化趋势、学科领域和研究机构等进行了统计与分析,并基于共被引聚类视图和关键词知识图谱来探究秋刀鱼渔业资源与渔场学的研究前沿特征及热点变化趋势。统计结果表明:涉及秋刀鱼渔业资源与渔场学的文献量呈波动增长状态,渔场学是其近三十年来最优势的学科领域,以日本水产综合研究中心为核心的机构合作链群对该研究的发展贡献较大。基于共被引聚类视图和关键词的知识图谱,可将秋刀鱼渔业资源与渔场学的研究热点和趋势归纳为三部分:(1)1995—2004年主要进行渔业生物学的研究,主要包括年龄与生长、摄食以及洄游等内容;(2)2005—2014年主要进行渔场学的研究,基于多种栖息地适宜性指数模型来预测秋刀鱼潜在栖息地和渔场的分布;(3)2015—2020年主要进行渔场学和资源评估的研究,其一拓展了秋刀鱼潜在栖息地和渔场分布的研究,其二基于多种模型来对秋刀鱼渔业进行单位捕捞努力量渔获量(CPUE)标准化研究,其三基于贝叶斯Schaefer剩余产量等模型对秋刀鱼资源进行评估。但秋刀鱼渔业资源与渔场学研究仍存在渔业数据获取受限、方法单一化、模型应用难度较高等问题,主要建议包括:结合微化学和海洋环境因子来探索秋刀鱼的生活史信息;基于公式化拟合和权重分析的栖息地指数模型来预测渔场的分布;尝试应用新的评估模型(体长结构模型等)来进行资源评估。展开更多
基金Supported by the National Sci-Tech Support Plan“Fishing Technology and New Resources in Oceanic Fisheries”(No.2013BAD13B05)。
文摘The Pacific saury(Cololabis saira)is one of the major harvested species in the temperate waters of the northwestern Pacific Ocean(NPO).The Catch-MSY model uses catch data and basic life history information to estimate the Maximum Sustainable Yield(MSY)for data-limited fisheries.Since there is considerable uncertainty in the current status of the Pacific saury stock in the NPO,the Catch-MSY model was used in this study to estimate MSY on the basis of catch data and life history information from the North Pacific Fisheries Commission(NPFC).During the process,17 scenarios,according to different prior distributions of the intrinsic rate of increase(r)and carrying capacity(K),were set for sensitivity analysis.Moreover,the influence of different catch time series and different process errors were taken into account.The results show the following:(1)there was a strong negative correlation relationship between ln(r)and ln(K);the MSY increases with an increase in the lower limit of r;(2)The time series of catch data had a limited impact on the assessment results,whereas the results of the model were sensitive to the annual catch in the first and last years;(3)The estimated MSYs of the Pacific saury were 47.37×10^4 t(41.57×10^4 t to 53.17×10^4 t)in scenario S1A and 47.53×10^4 t(41.79×10^4 t to 53.27×10^4 t)in scenario S1B.Given the uncertainty of the Catch-MSY model,maintaining a management target between 50×10^4 t and 70×10^4 t was a better management regulation.This study shows that the Catch-MSY model is a useful choice for estimating the MSY of data-limited species such as the Pacific saury.
文摘秋刀鱼(Cololabis saira)是重要的捕捞对象之一,全面掌握秋刀鱼渔业资源与渔场学是可持续利用和科学管理的基础。本文以1995—2020年Web of Science(WOS)核心合集数据库中涉及到秋刀鱼渔业资源与渔场学研究的文献为样本,采用了Citespace文献计量软件,对文献量的年度变化趋势、学科领域和研究机构等进行了统计与分析,并基于共被引聚类视图和关键词知识图谱来探究秋刀鱼渔业资源与渔场学的研究前沿特征及热点变化趋势。统计结果表明:涉及秋刀鱼渔业资源与渔场学的文献量呈波动增长状态,渔场学是其近三十年来最优势的学科领域,以日本水产综合研究中心为核心的机构合作链群对该研究的发展贡献较大。基于共被引聚类视图和关键词的知识图谱,可将秋刀鱼渔业资源与渔场学的研究热点和趋势归纳为三部分:(1)1995—2004年主要进行渔业生物学的研究,主要包括年龄与生长、摄食以及洄游等内容;(2)2005—2014年主要进行渔场学的研究,基于多种栖息地适宜性指数模型来预测秋刀鱼潜在栖息地和渔场的分布;(3)2015—2020年主要进行渔场学和资源评估的研究,其一拓展了秋刀鱼潜在栖息地和渔场分布的研究,其二基于多种模型来对秋刀鱼渔业进行单位捕捞努力量渔获量(CPUE)标准化研究,其三基于贝叶斯Schaefer剩余产量等模型对秋刀鱼资源进行评估。但秋刀鱼渔业资源与渔场学研究仍存在渔业数据获取受限、方法单一化、模型应用难度较高等问题,主要建议包括:结合微化学和海洋环境因子来探索秋刀鱼的生活史信息;基于公式化拟合和权重分析的栖息地指数模型来预测渔场的分布;尝试应用新的评估模型(体长结构模型等)来进行资源评估。
