| 黄河口渔业资源底拖网调查采样断面数对资源量指数估计的影响 |
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| 引用本文： | 孟新翔,王晶,张崇良,薛莹,徐宾铎,任一平.黄河口渔业资源底拖网调查采样断面数对资源量指数估计的影响[J].水产学报,2019,43(6):1507-1517. |
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| 作者姓名： | 孟新翔 王晶 张崇良 薛莹 徐宾铎 任一平 |
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| 作者单位： | 中国海洋大学水产学院, 山东 青岛 266003,中国海洋大学水产学院, 山东 青岛 266003,中国海洋大学水产学院, 山东 青岛 266003;青岛海洋科学与技术试点国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266237,中国海洋大学水产学院, 山东 青岛 266003;青岛海洋科学与技术试点国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266237,中国海洋大学水产学院, 山东 青岛 266003;青岛海洋科学与技术试点国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266237,中国海洋大学水产学院, 山东 青岛 266003;青岛海洋科学与技术试点国家实验室, 海洋渔业科学与食物产出过程功能实验室, 山东 青岛 266237 |
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| 基金项目： | 公益性行业（农业）科研专项（201303050） |
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| 摘 要： | 为查明采样强度对多种类渔业调查中资源量指数估计的影响,实验根据2013年8月、10月和2014年2月、5月黄河口渔业资源底拖网调查数据,选取短吻红舌鳎、方氏云鳚、矛尾虾虎鱼、枪乌贼、口虾蛄、日本蟳和小型鳀鲱鱼类为调查目标,利用计算机模拟方法,以相对估计误差(REE)、相对偏差(RB)、变异系数(CV)和准确度变化率(ACR)等为评价指标,研究了调查样本量对不同种类资源量指数估计的影响。结果显示,各种类资源量指数估计的REE、CV和ACR随断面数增加均逐渐降低并趋于稳定;除在断面数3减到1时,日本蟳、口虾蛄和方氏云鳚等个别种类RB绝对值增大外,其他RB不存在一致性的增大或减小趋势。研究表明,由于不同种类的分布存在时空差异,不同种类需要的调查断面数不同;当目标种类数量空间分布变异较小时,减少调查断面数对采样精确度影响较小,反之则需要更多调查断面数。对于多种类渔业资源调查,需要综合权衡各目标种类来确定最适调查断面数。
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| 关 键 词： | 资源量指数 采样努力量 计算机模拟 黄河口 |
| 收稿时间： | 2018/5/25 0:00:00 |
| 修稿时间： | 2018/8/31 0:00:00 |
Effects of sampling transect number on estimation of abundance index for bottom trawl surveys of fisheries resources in the Yellow River estuary |
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| MENG Xinxiang,WANG Jing,ZHANG Chongliang,XUE Ying,XU Binduo and REN Yiping.Effects of sampling transect number on estimation of abundance index for bottom trawl surveys of fisheries resources in the Yellow River estuary[J].Journal of Fisheries of China,2019,43(6):1507-1517. |
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| Authors: | MENG Xinxiang WANG Jing ZHANG Chongliang XUE Ying XU Binduo and REN Yiping |
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| Institution: | College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China,College of Fisheries, Ocean University of China, Qingdao 266003, China;Laboratory for Marine Fishery Science and Food Production Processes; Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China,College of Fisheries, Ocean University of China, Qingdao 266003, China;Laboratory for Marine Fishery Science and Food Production Processes; Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China,College of Fisheries, Ocean University of China, Qingdao 266003, China;Laboratory for Marine Fishery Science and Food Production Processes; Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China and College of Fisheries, Ocean University of China, Qingdao 266003, China;Laboratory for Marine Fishery Science and Food Production Processes; Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China |
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| Abstract: | Fishery-independent survey is commonly used for collecting high quality biological and ecological data and provides vital parameters for fish stock assessment and management. For fishery-independent surveys, low cost and high precision as a result of reduced sample size may lead to a much greater reduction of survey mortality for the already depleted fishery populations and the ecosystem of fragile estuarine habitats, so that optimization of sampling design is essential for acquiring cost-effective sampling efforts. Computer simulation is usually applied to evaluating sampling designs in identifying an optimal sampling effort to achieve the goals of a survey program. In this study, the effect of sample size on estimation of abundance index was examined for fishery species including Cynoglossus joyneri, Pholis fangi, Chaeturichthys stigmatias, Loligo sp., Oratosquilla oratoria, Charybdis japonica and small-sized fish species in Clupeidae and Engraulidae in a cluster sampling survey based on the data collected from bottom trawl surveys conducted in August, October 2013 and February, May 2014 in the Yellow River estuary and its adjacent waters. The relative estimation error (REE), relative bias (RB), coefficient of variation (CV), and accuracy change rate (ACR) were used to measure the performances (accuracy and precision) of different sampling efforts. In general, these indices including REE, CV and ACR showed similar trends, decreasing with sample size initially and then becoming stable after certain sample sizes during all the four seasons. Most of RB did not show consistently increasing or increasing trends with sampling size. The absolute value of RB of C. japonica, O. oratoria and P. fangi etc showed an obvious increase when the sample size reduced from 3 to 1. The optimal sampling efforts were different for the selected species because the target species had different spatial variabilities. The effects of reducing sampling effort on the precision of abundance index estimation were low when the species had low spatial variabilities. Therefore, the optimal sampling effort for multiple species fishery resources surveys should consider the spatial and temporal distribution patterns of the target species. |
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| Keywords: | abundance index sampling effort computer simulation Yellow River estuary |
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