| 多目标资源调查站位优化设计——以渤海为例 |
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| 作者姓名： | 韩青鹏 单秀娟 金显仕 万荣 丁琪 陈云龙 杨涛 |
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| 作者单位： | 农业农村部海洋渔业可持续发展重点实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;中国海洋大学水产学院 青岛 266003;农业农村部海洋渔业可持续发展重点实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;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 青岛266071;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 青岛266071;上海海洋大学海洋科学学院 上海201306;农业农村部海洋渔业可持续发展重点实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071 |
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| 基金项目： | 国家重点研发计划;国家重点基础研究发展计划（973计划）;山东省"泰山学者"建设工程专项;青岛海洋科学与技术试点国家实验室鳌山计划 |
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| 摘 要： | 本研究以渤海为研究区域,通过数值模拟,分析了种类出现率(将基于渤海调查的17个主要渔业种类分为3类:Ⅰ类出现率≥70%,Ⅱ类出现率50%～70%,Ⅲ类出现率50%)和栖息水层对单种类资源量相对误差(Relative error, REE)的影响,不同调查站位数量(48和60)对定点采样与分层随机采样分析结果的影响,并优化了渤海多目标渔业资源调查的设计方案。结果显示,Ⅰ类中5种资源量REE在20%以内,Ⅱ类中3种资源量REE在30%以内,Ⅲ类中6种资源量REE在35%以内,即单种资源量评估值随种类出现率下降,相对误差变大;种类的栖息水层对种类资源量REE无明显影响。定点采样评估值随站位数量减少,精度下降(鱼类、虾类、蟹类、头足类的资源量指数和Margalef丰富度指数的REE分别增加了1.1%、2.5%、8.4%、4.4%和3.3%);分层随机采样可弥补站位数减少带来的精度下降,如站位数为48的分层随机采样获得的鱼类资源量指数评估精度(REE为4.6%)高于站位数为60的定点采样的精度(REE为7.7%),有助于减少调查成本和保护资源量低的种类。然而,每种采样方法并不能完全满足多目标最优,不同站位分配方案影响分层随机采样的精度,按照抽样费用最优准则设置站位,可获得精确度较高的鱼类、虾类、蟹类、头足类及黄鲫(Setipinnataty)、口虾蛄(Oratosquillaoratoria)、日本枪乌贼(Loligojaponica)、鳀鱼(Engraulis japonicus)、叫姑鱼(Johniusgrypotus)、泥脚隆背蟹(Carcinoplaxvestita)、中国对虾(Fenneropenaeus chinensis)等主要种类资源量评估结果,可作为渤海多目标种类资源调查的站位设计方案。
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| 关 键 词： | 渤海 站位设计 多目标 定点采样 分层随机采样 |
| 收稿时间： | 2018/8/9 0:00:00 |
| 修稿时间： | 2018/9/6 0:00:00 |
Study on Optimizing Sampling Design of Multi-Objective Fishery-Independent Surveys: A Case Study in the Bohai Sea |
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| Authors: | HAN Qingpeng SHAN Xiujuan JIN Xianshi WAN Rong DING Qi CHEN Yunlong and YANG Tao |
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| Institution: | Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071; College of Fisheries, Ocean University of China, Qingdao 266003,Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071; Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071,Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071; Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071,Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071; College of Marine Sciences, Shanghai Ocean University, Shanghai 201306,Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071,Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071 and Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071 |
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| Abstract: | |
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| Keywords: | Bohai Sea Station design Multi-objective Stationary sampling Stratified random sampling |
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