| Yin Liping,SHAN Xiujuan,ZHAO Chang,JIN Xianshi,WANG Guansuo,QIAO Fangli. 2019. A model for the transportation and distribution of jellyfish Rhopilema esculentum for stock enhancement in the Liaodong Bay, China. Acta Oceanologica Sinica, 38(1):90－101 |
| A model for the transportation and distribution of jellyfish Rhopilema esculentum for stock enhancement in the Liaodong Bay, China |
| 辽东湾海蜇增殖放流模式的建立和应用 |
| Received:January 06, 2018 |
| DOI：10.1007/s13131-019-1374-x |
| Key words:Liaodong Bay Jellyfish Rhopilema esculentum distribution and connectivity Lagrangian particle tracking current |
| 中文关键词: 辽东湾 海蜇 分布和连通性 Lagrangian粒子追踪 环流 |
| 基金项目:The National Natural Science Foundation of China under contract No. 41506044; the Scientific and Technological Innovation Project financially supported by Qingdao National Laboratory for Marine Science and Technology of China under contract No. 2016ASKJ02; the National Basic Research Program (973 Program) of China under contract No. 2015CB453303; the National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers under contract No. U1606405; the International Cooperation Project of Indo-Pacific Ocean Environment Variation and Air-Sea Interaction under contract No. GASI-03-IPOVAI-05. |
| Author Name | Affiliation | E-mail | | Yin Liping | First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Key Laboratory of Marine Science and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, China | | | SHAN Xiujuan | Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot Qingdao National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | | | ZHAO Chang | First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Key Laboratory of Marine Science and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, China
Key Laboratory of Data Analysis and Applications, Ministry of Natural Resources, Qingdao 266061, China | | | JIN Xianshi | Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot Qingdao National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | | | WANG Guansuo | First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Key Laboratory of Marine Science and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, China | | | QIAO Fangli | First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
Key Laboratory of Marine Science and Numerical Modelling, Ministry of Natural Resources, Qingdao 266061, China | qiaofl@fio.org.cn |
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| Abstract: |
| A numerical model for jellyfish Rhopilema esculentum stock enhancement is developed for the first time. The model is based on an operational ocean circulation-surface wave coupled forecasting system for the seas off China and adjacent areas and uses a Lagrangian particle-tracking scheme to track the trajectories of released jellyfish. The Jellyfish are modeled as particles with diel vertical migration and are passively drifted by the current and dispersion due to the sub-grid processes. A comparison between the simulation and survey results demonstrate that the model can capture the primary distribution patterns of the released jellyfish. The model results show that the ocean current and indirect wind impact are the main drivers controlling the jellyfish transport. A connectivity matrix between the release sites and fishing grounds indicates the top of the bay is better than the eastern and western coasts for jellyfish fishing. The matrix also shows that only 45% and 27% of the jellyfish released from Wafangdian (WFD) can enter the fishing ground in 2008 and 2010; thus, the site near WFD is not an advisable location for jellyfish release. A Lagrangian probability density function based on a nine-year tracing experiment validates the results and further provides a “climatology” distribution of the released jellyfish. Several experiments are conducted to examine the sensitivity of the model to random walk schemes and to release conditions. The model requires a random walk but is insensitive to the random walk scheme. The experiments with different habitat depths show that if the jellyfish are fixed on the bottom of the water, most of them will be transported to the center, or even out of the bay, by the bottom circulation. |
| 中文摘要: |
| 基于中国近海浪-流耦合业务化预报系统（OFS-C）和Lagrangian粒子追踪方法，本文首次建立了辽东湾海蜇增殖放流模型。模型中，海蜇用虚拟的粒子表示，具有昼夜垂直运动（DVM）特性。海蜇运动由海流和次网格参数化引起的随机运动驱动。利用航次调查数据对模型结果进行了验证，模式结果可以很好的模拟放流海蜇分布的主要结构。模型分析了物理过程对辽东湾放流海蜇的输运和分布的影响，结果显示海蜇运动主要受海流和间接的风应力的影响。放流地和捕捞地的连通性分析表明，辽东湾海蜇的主要捕捞地集中于湾顶。另外，连通性矩阵表明，瓦房店放流的部分海蜇不能到达捕捞地，因此，相对于其它放流地来说，瓦房店不是理想的放流地。敏感性实验表明了随机游走的重要性，但是对于游走格式并不敏感。海蜇栖息的深度会影响海蜇最终的分布，若海蜇栖息于海底，则在低层环流的影响下，最终分布于辽东湾中部，部分会流出辽东湾，而不能到达湾顶。 |
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