| 不同环境模态下空间分辨率对北太平洋柔鱼CPUE标准化的影响 |
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| 引用本文： | 魏广恩,陈新军.不同环境模态下空间分辨率对北太平洋柔鱼CPUE标准化的影响[J].海洋科学,2021,45(4):147-158. |
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| 作者姓名： | 魏广恩 陈新军 |
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| 作者单位： | 上海海洋大学 海洋科学学院, 上海 201306;上海海洋大学 海洋科学学院, 上海 201306;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 266071;大洋渔业资源可持续开发省部共建教育部重点实验室, 上海 201306;国家远洋渔业工程技术研究中心, 上海 201306;农业农村部大洋渔业开发重点实验室农业农村部大洋渔业资源环境科学观测实验站, 上海 201306 |
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| 基金项目： | 国家重点研发计划（2019YFD0901404）；国家自然科学基金面上项目（NSFC41876141）；上海市科技创新行动计划（10DZ1207500） |
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| 摘 要： | 单位捕捞努力量渔获量(catch per unit effort, CPUE)常被假设与渔业资源量成正比而被应用于渔业资源评估与管理中,不同的环境模态下,所选取的空间分辨率对CPUE的标准化会产生影响,从而影响对该渔业资源丰度的评价。本研究运用广义加性模型(generalized additive model, GAM),对中国在北太平洋鱿钓渔业数据进行CPUE标准化。根据北太平洋环境的差异,以160°E为界将其划分为不同的环境模态。分别对两种模态下3种空间尺度(0.25°×0.25°、0.5°×0.5°、1°×1°)的名义CPUE进行标准化,得到各自的最适GAM模型。比较不同环境模态下,各因素对CPUE标准化产生的影响;相同环境模态下,不同空间尺度对CPUE标准化产生的影响。结果表明:不同环境模态下,对CPUE标准化产生影响的变量差异较大:160°E以西海域分别为年、纬度、SST以及交互项年与纬度、月与纬度;160°E以东海域分别为纬度、年与纬度的交互项、月与纬度的交互项。同一环境模态下,不同的空间尺度最适GAM模型对CPUE标准化结果不同,根据均方误差选取0.5°×0.5°和0.25°×0.25°分别为160°E东、西海域CPUE标准化的最适空间尺度。因此,在对北太平洋柔鱼(Ommastrephes bartramii)商业性渔获数据进行标准化时,需要考虑因不同的环境模态以及不同的空间尺度而导致的CPUE标准化所出现的差异。
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| 关 键 词： | 北太平洋 柔鱼(Ommastrephes bartramii) 广义加性模型 CPUE标准化 空间分辨率 |
| 收稿时间： | 2019/7/22 0:00:00 |
| 修稿时间： | 2019/12/10 0:00:00 |
Impacts of spatial resolution under different environment modes on CPUE standardization in the North Pacific Ocean |
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| WEI Guang-en,CHEN Xin-jun.Impacts of spatial resolution under different environment modes on CPUE standardization in the North Pacific Ocean[J].Marine Sciences,2021,45(4):147-158. |
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| Authors: | WEI Guang-en CHEN Xin-jun |
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| Institution: | College of Marine Sciences of Shanghai Ocean University, Shanghai 201306, China; College of Marine Sciences of Shanghai Ocean University, Shanghai 201306, China;Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;The Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Shanghai Ocean University, Ministry of Education, Shanghai 201306, China;National Distant-water Fisheries Engineering Research Center, Shanghai Ocean University, Shanghai 201306, China;Key Laboratory of Oceanic Fisheries Exploration, Ministry of Agriculture and Rural Affairs, Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China |
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| Abstract: | CPUE (Catch Per Unit Effort) is usually assumed to be proportional to fishery resources and is applied to fishery stock assessment and management. The selected spatial resolution can affect standardized CPUE under different environment modes and the evaluation of resource abundance. In this study, we use the Generalized Additive Model (GAM) to standardize CPUE in the fishery data collected by the Chinese squid-jigging fleets in the North Pacific Ocean. The North Pacific Ocean is divided into different environmental modes by 160°E. The nominal CPUE of three spatial scales (0.25°×0.25°, 0.5°×0.5°, and 1°×1°) under two modes were standardized to obtain the optimal GAM models. The effects of various factors on CPUE standardization under different environment modes and the impact of different spatial scales on CPUE standardization under the same environment mode were compared. The results show that under different environment modes, the variables that have an important impact on CPUE standardization are different. The waters west of 160°E is the year, latitude, and SST and the interactive term year and latitude, month, and latitude; the waters east of 160°E is the latitude, and the interaction term year and latitude, month, and latitude. Under the same environment mode, different spatial scales are optimal for GAM models with different CPUE standardization results. According to the mean square error, 0.5°×0.5ånd 0.25°×0.25° were selected as optimal spatial scales for CPUE standardization in the waters east and west of 160°E, respectively. Therefore, it is necessary to consider the differences in CPUE standardization caused by different environment modes and different spatial scales when standardizing the commercial catch data of the North Pacific Ocean. |
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| Keywords: | North Pacific Ommastrephes bartramii generalized additive model CPUE standardization spatial resolution |
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