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Effects of Model Design and Environmental Variables on Juvenile U.S. South Atlantic King Mackerel (Scomberomorus cavalla) Abundance

机译:模型设计和环境变量对美国南大西洋少年鲭鱼(Scomberomorus cavalla)丰度的影响

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摘要

As growing human populations put an increasing demand on finite ocean resources, fisheries management tools rely ever more on high quality inputs and a comprehensive understanding of model factors. Stock assessment modeling for South Atlantic (SA) King Mackerel, Scomberomorus cavalla , uses inputs such as abundance indices, growth parameters, and fisheries landings. However, one underlying assumption in this modeling system is there are measurable connections among life stages. A juvenile abundance index developed from the SEAMAP-SA Coastal Trawl Survey (CTS) is presumed to represent ecological recruitment. Very weak correlations to other life stage proxies suggested a deficiency with the juvenile abundance index accuracy and indicated data exploration into the index formulation was needed. Examination of CTS juvenile length frequencies support that the smallest juveniles appear in the summer and spring juveniles are from overwintering of the previous year class. Juvenile abundance indices developed using year class (year in which a fish is spawned) rather than year of sampling (as done for previous assessments) showed substantial differences, in particular lowering AIC values indicating an improvement in model accuracy. Evidence of seasonal and regional variation with CTS juveniles prompted the development of separate age 0 and age 1 indices. Correlations of these indices to fisheries-derived year class strength suggested the age 0 index to be the best indicator of initial juvenile king mackerel abundance while the age 1 index reflects abundance after high early life stage mortality. Data exploration also was conducted for potential environmental variables impacting age 0 and age 1 abundance. Relationships were found between age 0 abundance and freshwater input, the Gulf Stream, hurricane activity, and predator abundance and between age 1 abundance and freshwater input and hurricane activity. This research provides not only valuable baseline knowledge for SA king mackerel juveniles, but also findings pertinent for their management.
机译:随着人口的增长,对有限海洋资源的需求日益增加,渔业管理工具越来越依赖高质量的投入和对模型因素的全面理解。南大西洋金枪鱼(Scomberomorus cavalla)的南大西洋金枪鱼种群评估模型使用诸如丰度指数,生长参数和渔业登陆等输入。但是,此建模系统中的一个基本假设是生命阶段之间存在可测量的联系。据推测,由SEAMAP-SA沿海拖网调查(CTS)开发的少年丰度指数代表了生态募集。与其他生命阶段代理的相关性非常弱,这表明青少年丰度指标准确性存在缺陷,并表明需要对指标公式进行数据探索。对CTS幼体长度频率的检查支持,最小的幼体出现在夏季,而春季幼体则来自上一年级的越冬。使用年级(产卵的年份)而不是采样年(如先前的评估那样)开发的幼鱼丰度指数显示出显着差异,尤其是降低AIC值表明模型准确性有所提高。 CTS青少年的季节性和区域差异的证据促使分别建立0岁和1岁指数。这些指数与渔业年级强度的相关性表明,0岁指数是初始少年鲭鱼丰度的最佳指标,而1岁指数则反映了生命早期高死亡率后的丰度。还对影响0岁和1岁丰度的潜在环境变量进行了数据探索。发现了0岁丰度与淡水输入,墨西哥湾流,飓风活动和捕食者丰度之间的关系,以及1岁丰度与淡水输入与飓风活动之间的关系。这项研究不仅为金枪鱼鲭少年提供了宝贵的基线知识,而且还提供了与其管理有关的发现。

著录项

  • 作者

    Reynolds, Julia Mae.;

  • 作者单位

    College of Charleston.;

  • 授予单位 College of Charleston.;
  • 学科 Aquatic sciences.;Wildlife management.;Zoology.
  • 学位 M.S.
  • 年度 2017
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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