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Spatial Structure: Theory, estimation and application in stock assessment models

机译:空间结构:股票评估模型的理论,估计和应用

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All fish populations and fisheries exhibit spatial structure, but accounting for the spatial patterns is commonly ignored in most stock assessments. The Center for the Advancement of Population Assessment Methodology (CAPAM) hosted a workshop on "Spatial Stock Assessment Models" (La Jolla, CA, USA; October 1-5, 2018), and this special volume includes twelve papers on various aspects of spatial stock assessments, including stock identification, development and application of spatially-structured models, simulation studies, and management implications. The workshop and these contributions demonstrate that stock assessments require adequate representation of spatial scope and structure, and tag-integrated models generally perform best, but spatiallystructured stock assessments pose several challenges, and remain rarely applied as the scientific basis for fishery management.
机译:所有鱼类和渔业都表现出空间结构,但在大多数股票评估中常常忽略空间模式的核算。 人口评估方法(CAPAM)的进步中心举办了一个关于“空间股票评估模型”的研讨会(加利福尼亚州,美国,2018年10月1日至5日),并在空间的各个方面包括十二篇论文 股票评估,包括空间结构模型,仿真研究和管理意义的库存识别,开发和应用。 讲习班和这些贡献表明,股票评估需要足够的空间范围和结构表示,而标签综合模型通常表现最佳,但是空间结构股票评估构成了几种挑战,并且仍然很少被视为渔业管理的科学依据。

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