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Nonlinear evaluation of stock assessment and marine ecosystem models.

机译:种群评估和海洋生态系统模型的非线性评估。

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摘要

In fisheries management, single-species stock assessment models use fisheries-dependent catch and landings data along with fishery-independent estimates of relative or absolute abundance to make estimates of species biomass for a given area. This output is used by the Atlantis marine ecosystem model as input. Atlantis uses an array of physical, biological, and anthropogenic factors to predict biomass for individual species or functional groups of species. Nonlinear analysis was used to assess the output for both the stock assessment. and Atlantis models for the marine ecosystem off the California coast. The number of time series displaying nonlinear characteristics decreases from raw (landings) data to model output, which suggests that models may not be conserving underlying data signals. Relationships between species in Atlantis functional groups (determined by the Atlantis modelers) were also analyzed using the nonlinear analysis, and relationships assumed by the Atlantis modelers were in disagreement with relationships that appeared out of the nonlinear analysis.
机译:在渔业管理中,单物种种群评估模型使用与渔业有关的捕捞和着陆数据,以及与渔业无关的相对或绝对丰度估计,以估计给定区域的物种生物量。亚特兰蒂斯海洋生态系统模型使用此输出作为输入。亚特兰蒂斯利用一系列物理,生物和人为因素来预测单个物种或物种功能组的生物量。非线性分析用于评估两个库存评估的输出。和亚特兰提斯(Atlantis)的加州海岸海洋生态系统模型。从原始(着陆)数据到模型输出,显示非线性特征的时间序列数量减少,这表明模型可能不保存基本的数据信号。还使用非线性分析来分析亚特兰蒂斯功能组中物种之间的关系(由亚特兰蒂斯建模者确定),并且亚特兰蒂斯建模者假设的关系与非线性分析中出现的关系不一致。

著录项

  • 作者

    Storch, Laura.;

  • 作者单位

    University of New Hampshire.;

  • 授予单位 University of New Hampshire.;
  • 学科 Agriculture Fisheries and Aquaculture.
  • 学位 M.S.
  • 年度 2011
  • 页码 52 p.
  • 总页数 52
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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