| XU Binduo,REN Yiping,CHEN Yong,XUE Ying,ZHANG Chongliang,WAN Rong.Optimization of stratification scheme for a fishery-independent survey with multiple objectives[J].Acta Oceanologica Sinica,2015,34(12):154-169 |
| 多目标渔业资源科学调查的分层方案设计优化 |
| Optimization of stratification scheme for a fishery-independent survey with multiple objectives |
| 投稿时间：2015-04-30 修订日期：2015-07-29 |
| DOI：10.1007/s13131-015-0739-z |
| 中文关键词: 渔业资源科学调查 最优化 分层随机采样 分层方案设计 计算机模拟 |
| 英文关键词:fishery-independent survey optimization stratified random sampling stratification scheme computer simulation |
| 基金项目:The Public Science and Technology Research Funds Projects of Ocean under contract No. 201305030; the Specialized Research Fund for the Doctoral Program of Higher Education under contract No. 20120132130001. |
| 作者 | 单位 | E-mail | | 徐宾铎 | 中国海洋大学水产学院青岛 266003, 中国
美国缅因大学海洋学院缅因 04469, 美国 | | | 任一平 | 中国海洋大学水产学院青岛 266003, 中国 | | | 陈勇 | 美国缅因大学海洋学院缅因 04469, 美国
中国海洋大学水产学院青岛 266003, 中国 | | | 薛莹 | 中国海洋大学水产学院青岛 266003, 中国 | | | 张崇良 | 中国海洋大学水产学院青岛 266003, 中国
美国缅因大学海洋学院缅因 04469, 美国 | | | 万荣 | 中国海洋大学水产学院青岛 266003, 中国
青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室青岛 266000, 中国 | rongwan@ouc.edu.cn |
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| 中文摘要: |
| 渔业资源科学调查常用于收集高质量的生物学和生态学数据以进行渔业资源评估与管理。渔业资源调查设计优化十分必要,其有助于在经济有效的采样努力量下提高调查估计量的精度。对于估计单鱼种资源量指数和物种多样性指数为主的多目标渔业资源调查设计,本研究应用模拟方法评价和优化了分层随机采样设计的分层方案。在不同月份,对于不同调查目标,分别比较了不同分层方案设计的表现。对于大多数指标,与简单随机采样设计相比,分层方案设计可以提高调查估计量的精度。目前采用的具有5层的分层随机采样设计表现最好。通过分层方案设计可以补偿由于采样努力量降低造成的估计量精度的下降,采样努力量的减少有助于降低调查成本、减轻调查拖网对于种群数量较低鱼种的不利影响。本研究表明对于不同的调查目标,最优化的分层方案设计不同。调查后分析有助于改善渔业资源调查的分层方案设计。 |
| 英文摘要: |
| Fishery-independent surveys are often used for collecting high quality biological and ecological data to support fisheries management. A careful optimization of fishery-independent survey design is necessary to improve the precision of survey estimates with cost-effective sampling efforts. We developed a simulation approach to evaluate and optimize the stratification scheme for a fishery-independent survey with multiple goals including estimation of abundance indices of individual species and species diversity indices. We compared the performances of the sampling designs with different stratification schemes for different goals over different months. Gains in precision of survey estimates from the stratification schemes were acquired compared to simple random sampling design for most indices. The stratification scheme with five strata performed the best. This study showed that the loss of precision of survey estimates due to the reduction of sampling efforts could be compensated by improved stratification schemes, which would reduce the cost and negative impacts of survey trawling on those species with low abundance in the fishery-independent survey. This study also suggests that optimization of a survey design differed with different survey objectives. A post-survey analysis can improve the stratification scheme of fishery-independent survey designs. |
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