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首页> 外文期刊>Fisheries Research >The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean
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The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean

机译:空间尺度的变化对西北太平洋咸鱼Omastrephes bartramii CPUE空间格局的影响

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It has been argued that most of the problems concerning fisheries and aquaculture may be rooted in spatial differentiation, and the spatial patterns of fisheries resources have been widely studied. However, there is a general lack of awareness on how changing spatial scales affect the spatial patterns of fisheries resources. This study explores the scaling relations of spatial patterns of the catch-per-unit-effort (CPUE) for Ommastrephes bartramii in the northwest Pacific Ocean. Several spatial indices commonly used to explore the spatial patterns of fisheries were examined, including the count of valid data points (Count index), global Moran's I, Geary's C, General G, the average nearest neighbor (ANN) ratio and Ripley's K function at different spatial scales. The results show that the Count index and the z-scores of three spatial indices (i.e. Moran's I, General G and ANN) exhibit consistent and robust power law relations, while the z-scores of Geary's C and ANN ratio exhibit consistent and robust logarithmic relations. General G exhibits consistent and robust linear functions in September and October and a quadratic polynomial function in August. The spatial patterns observed from Ripley's K-function become less clustered at coarser spatial scales. Based on the peaks of Moran's I and the nadirs of Geary's C, we identified 25' x 25' as the optimum scale for August and October and 20' x 20' for September, and 50' x 50' as the coarsest allowable spatial scale for August and October and 55' x 55' for September, for conducting spatial analysis of O. bartramii in the northwest Pacific Ocean. The methodology presented in this research provides a useful reference to understand the scaling effect and search for the coarsest spatial scale for the survey of fisheries resources. (C) 2016 Elsevier B.V. All rights reserved.
机译:有人认为,与渔业和水产养殖有关的大多数问题都可能源于空间分化,对渔业资源的空间格局进行了广泛的研究。但是,人们普遍缺乏对空间尺度变化如何影响渔业资源空间格局的认识。这项研究探索西北太平洋咸鱼Ommastrephes bartramii的单位捕获量(CPUE)空间格局的比例关系。考察了几种通常用于探索渔业空间格局的空间指标,包括有效数据点的数量(Count index),全局Moran I,Geary C,General G,平均最近邻(ANN)比和Ripley K函数。不同的空间尺度。结果表明,三个空间指数(即Moran's I,General G和ANN)的Count指数和z分数呈现出一致且稳健的幂律关系,而Geary's C和ANN比率的z分数呈现出一致且健壮的对数关系关系。 G将在9月和10月展现出一致且健壮的线性函数,并在8月展现出二次多项式函数。从Ripley的K函数观察到的空间模式在较粗的空间尺度上变得不那么聚集。根据Moran I的峰值和Geary C的最低点,我们确定25'x 25'是8月和10月的最佳比例,20'x 20'是9月,而50'x 50'是最粗的允许空间比例8月和10月分别为55'x 55'(9月),用于对西北太平洋的Bartramii进行空间分析。这项研究中提出的方法为理解尺度效应和寻找最粗略的空间尺度提供了有用的参考,以进行渔业资源调查。 (C)2016 Elsevier B.V.保留所有权利。

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