| 空间尺度对Getis-Ord Gi*获取的CPUE热点模式的影响：以西北太平洋柔鱼为例 |
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| 引用本文： | 冯永玖,陈新军,高峰,刘杨. 空间尺度对Getis-Ord Gi*获取的CPUE热点模式的影响：以西北太平洋柔鱼为例[J]. 海洋学报(英文版), 2018, 37(5): 67-76. DOI: 10.1007/s13131-018-1212-6 |
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| 作者姓名： | 冯永玖 陈新军 高峰 刘杨 |
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| 作者单位： | 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, 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,上海海洋大学海洋科学学院, 上海 201306;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,上海海洋大学海洋科学学院, 上海 201306;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,上海海洋大学海洋科学学院, 上海 201306 |
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| 基金项目： | The National Natural Science Foundation of China under contract No. 41406146; the Open Fund from Laboratory for Marine Fisheries Science and Food Production Processes at Qingdao National Laboratory for Marine Science and Technology of China under contract No. 2017-1A02; Shanghai Universities First-class Disciplines Project-Fisheries (A). |
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| 摘 要： | 空间尺度（渔业网格）不仅影响CPUE全局分布模式,而且影响其局部分布模式及其与海洋环境的关系。在空间多尺度下,本文研究了西北太平洋柔鱼（Ommastrephes bartramii）CPUE热点和冷点分布的尺度关系和尺度效应。将原始渔业数据重采样为从5''×5''到90''×90''的18个空间尺度,以5''的尺度间隔来识别局部聚类簇。论文系统分析了Getis-Ord Gi*热点和冷点的位置、边界、经典统计量随空间尺度的变化。具体地,分析了空间热点和冷点的最小值（Min）、均值（Mean）,最大值（Max）、标准差（SD）、变异系数（CV）、偏度、峰度、第一四分位数（Q1）、中位数、第三四分位数（Q3）、面积和质心等统计量的空间尺度影响。在空间尺度影响分析中,主要考虑线性、对数、指数、幂律和多项式等尺度研究中的常见关系。对于热点和冷点,最大值、标准偏差和峰度具有显著的空间尺度关系,其余统计量一部分在热冷点间存在尺度影响的差异,而另一部分没有明确的尺度关系。研究结果表明,由于不同尺度的热点和冷点的边界和位置与原始尺度的边界和位置明显不同,不建议采用大于30''的网格来分析柔鱼资源的局部空间模式。
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| 关 键 词： | Ommastrephes bartramii 尺度影响 局部聚类簇 Getis-Ord Gi* 空间热点 |
| 收稿时间： | 2016-12-06 |
| 修稿时间： | 2017-02-05 |
Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean |
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| FENG Yongjiu,CHEN Xinjun,GAO Feng and LIU Yang. Impacts of changing scale on Getis-Ord Gi* hotspots of CPUE:a case study of the neon flying squid (Ommastrephes bartramii) in the northwest Pacific Ocean[J]. Acta Oceanologica Sinica, 2018, 37(5): 67-76. DOI: 10.1007/s13131-018-1212-6 |
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| Authors: | FENG Yongjiu CHEN Xinjun GAO Feng LIU Yang |
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| Affiliation: | 1.College of Marine Sciences,Shanghai Ocean University,Shanghai,China;2.Laboratory for Marine Fisheries Science and Food Production Processes,Qingdno National Laboratory for Marine Science and Technology,Qingdao,China;3.National Distant-water Fisheries Engineering Research Center,Shanghai Ocean University,Shanghai,China;4.Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources (Shanghai Ocean University),Ministry of Education,Shanghai,China |
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| Abstract: | We examined the scale impacts on spatial hot and cold spots of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. The original fishery data were tessellated to 18 spatial scales from 5′×5′ to 90′×90′ with a scale interval of 5′ to identify the local clusters. The changes in location, boundaries, and statistics regarding the Getis-Ord Gi* hot and cold spots in response to the spatial scales were analyzed in detail. Several statistics including Min, mean, Max, SD, CV, skewness, kurtosis, first quartile (Q1), median, third quartile (Q3), area and centroid were calculated for spatial hot and cold spots. Scaling impacts were examined for the selected statistics using linear, logarithmic, exponential, power law and polynomial functions. Clear scaling relations were identified for Max, SD and kurtosis for both hot and cold spots. For the remaining statistics, either a difference of scale impacts was found between the two clusters, or no clear scaling relation was identified. Spatial scales coarser than 30′ are not recommended to identify the local spatial patterns of fisheries because the boundary and locations of hot and cold spots at a coarser scale are significantly different from those at the original scale. |
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| Keywords: | Ommastrephes bartramii scale impacts local clusters Getis-Ord Gi* spatial hotspots |
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