昼夜垂直移动对黄海中南部小黄鱼可捕系数的影响

关丽莎; 单秀娟; 金显仕; 陈云龙; 杨涛; 吴强

doi:10.3969/j.issn.0253-4193.2018.02.005

昼夜垂直移动对黄海中南部小黄鱼可捕系数的影响

doi: 10.3969/j.issn.0253-4193.2018.02.005

1.
中国水产科学研究院黄海水产研究所农业部海洋渔业资源可持续利用重点开放实验室山东省渔业资源与生态环境重点实验室, 山东青岛 266071
2.
中国水产科学研究院黄海水产研究所农业部海洋渔业资源可持续利用重点开放实验室山东省渔业资源与生态环境重点实验室, 山东青岛 266071;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, 山东青岛 266237

基金项目: 国家重点基础研究发展规划课题（2015CB453303）；青岛海洋科学与技术国家实验室"鳌山人才"培养计划项目（2017ASTCP-ES07）；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开放课题（2016LMFS-B13）；山东省泰山学者专项基金。

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出版历程
- 收稿日期: 2017-07-21

The effects of diel vertical movements on the catchability of small yellow croaker in the middle and south Yellow Sea

1.
Key Laboratory of Sustainable Development of Marine Fisheries/Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
2.
Key Laboratory of Sustainable Development of Marine Fisheries/Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China

摘要

摘要: 鱼类的昼夜垂直移动是影响渔业资源调查可捕系数的重要因素之一，对调查获得的各种渔获物资源量指数（abundance index，AI）进行校正，对优化估计物种的空间分布和资源量估算有重要作用。本文以黄海中南部小黄鱼为例，利用2006-2009年和2011年黄海秋季底拖网渔业资源调查数据，应用地理统计二阶广义线性混合模型，量化了昼夜时段对黄海中南部小黄鱼AI的影响。不同昼夜时段对AI的随机效应系数表明，在黄海中南部秋季渔业资源调查中，底拖网对小黄鱼的可捕系数存在明显的昼夜变化：在午夜23点到凌晨3点间，可捕系数最低；凌晨3点后，可捕系数逐渐增大，直至9点达到峰值；在中午10点至下午16点，可捕系数小幅度降低后保持相对稳定，随后急剧下降；傍晚19点以后，可捕系数处于相对较低水平，直至午夜23点后降至最低水平。本研究通过地理统计二阶广义线性混合模型，去除了昼夜垂直移动对小黄鱼可捕系数的影响，预测的小黄鱼空间密度分布与其AI实际观测值以及渔场空间格局基本一致。另外，模型估计的2006-2009年和2011年秋季黄海中南部小黄鱼的总资源量指数相对扫海面积法的估计值精确度更高，且其变动趋势与黄海中南部沿岸两省（山东和江苏）小黄鱼次年总渔获量的变动情况一致。
- 昼夜垂直移动 /
- 小黄鱼 /
- 地理统计二阶广义线性混合模型 /
- 时空分布 /
- 资源量指数
Abstract: Many fish show diel vertical movements (DVM), which is a key factor affecting the catchability of most fisheries-dependent or fisheries-independent surveys. Calibrations of abundance indices (AI) from these surveys to maintain a consistent catchability is important for improving estimates of species distribution and abundance. However, such calibrations rarely account for DVM. Here, a geostatistical delta-generalized linear mixed model (GLMM) was fitted to the fall bottom trawl survey data for small yellow croaker in the Yellow Sea during the period of 2006-2011 as a case study. The model quantified the effects of diel periods on AI, which demonstrates the time-variant effects of diel vertical movements on the catchability of the bottom trawl surveys for small yellow croaker. The surveys have lowest catchability for small yellow croaker at midnight. With the coming of daytime, the catchability appears to increase until reaching the peak values at 9:00 am. Subsequently, there is a decreasing trend in catchability till 7:00 pm. The catchability then maintains at low levels before midnight. This study eliminated the effects of diel periods on AI and predicted the spatial distributions of small yellow croaker in the middle and south Yellow Sea during the falls of 2006-2011. The predicted distributions match with spatial distributions of AI data and fishing grounds for small yellow croaker. Moreover, this study yields more precise estimates of total abundance indices for small yellow croaker in the falls of 2006-2009, which follows the temporal trend in the catch data of this species from two provinces (i.e. Shandong and Jiangsu) along the middle and south Yellow Sea in the subsequent years.
- diel vertical movement /
- small yellow croaker /
- geostatistical delta-generalized linear mixed model /
- spatio-temporal distribution /
- abundance index

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