Development of a theoretical and practical foundation for the assessment of abundance of large pelagic species

为评估大型中上层物种丰度奠定理论和实践基础

基本信息

  • 批准号:
    402268-2012
  • 负责人:
  • 金额:
    $ 1.53万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2013
  • 资助国家:
    加拿大
  • 起止时间:
    2013-01-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

It is very difficult to estimate the abundance of animals when they form open populations. This means that there are animals entering and exiting the population at a rate that is usually unknown. Mark and recapture models are effective for measuring abundance when used on closed populations where there is no immigration or emigration of animals. However, when mark and recapture models are applied to open populations of animals, such as large pelagic species, we must estimate through a maximum likelihood approach the rates of immigration and emigration and this biases the estimates of abundance. In this research program, by integrating conventional and cutting edge new technology, I will develop and test new innovative procedures to accurately determine values of variables that form key assumptions for the development of accurate mark and recapture model estimates of abundance for open populations of large pelagic species. Present estimates are inaccurate because critical assumptions have not been tested as the tools required to do this did not exist.
当动物形成开放种群时,很难估计它们的数量。这意味着有动物以通常未知的速度进入和离开种群。标记和重新捕获模型在没有动物迁移或迁出的封闭种群中用于测量丰度是有效的。然而,当标记和再捕获模型应用于开放的动物种群时,例如大型远洋物种,我们必须通过最大似然方法来估计迁移和迁出的速度,这会使丰度的估计产生偏差。在这个研究项目中,通过整合传统和尖端的新技术,我将开发和测试新的创新程序,以准确地确定变量的值,这些变量形成了对大型远洋物种开放种群丰度的准确标记和重新捕获模型估计的关键假设。目前的估计是不准确的,因为没有检验关键的假设,因为这样做所需的工具不存在。

项目成果

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Stokesbury, Michael其他文献

Stokesbury, Michael的其他文献

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{{ truncateString('Stokesbury, Michael', 18)}}的其他基金

Detection and avoidance of tidal turbines by fishes
鱼类对潮汐涡轮机的检测和避免
  • 批准号:
    RGPIN-2017-04301
  • 财政年份:
    2022
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Discovery Grants Program - Individual
Detection and avoidance of tidal turbines by fishes
鱼类对潮汐涡轮机的检测和避免
  • 批准号:
    RGPIN-2017-04301
  • 财政年份:
    2021
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Discovery Grants Program - Individual
Ecology of Coastal Environments
沿海环境生态学
  • 批准号:
    1000230626-2014
  • 财政年份:
    2020
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Canada Research Chairs
Detection and avoidance of tidal turbines by fishes
鱼类对潮汐涡轮机的检测和避免
  • 批准号:
    RGPIN-2017-04301
  • 财政年份:
    2020
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Discovery Grants Program - Individual
Detection and avoidance of tidal turbines by fishes
鱼类对潮汐涡轮机的检测和避免
  • 批准号:
    RGPIN-2017-04301
  • 财政年份:
    2019
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Discovery Grants Program - Individual
Ecology of Coastal Environments
沿海环境生态学
  • 批准号:
    1000230626-2014
  • 财政年份:
    2019
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Canada Research Chairs
Application of benthic imaging to improve production capacity in the Nova Scotian Sea Cucumber Fishery
应用底栖成像提高新斯科舍海参渔业生产能力
  • 批准号:
    498415-2016
  • 财政年份:
    2018
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Collaborative Research and Development Grants
Detection and avoidance of tidal turbines by fishes
鱼类对潮汐涡轮机的检测和避免
  • 批准号:
    RGPIN-2017-04301
  • 财政年份:
    2018
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Discovery Grants Program - Individual
Ecology of Coastal Environments
沿海环境生态学
  • 批准号:
    1000230626-2014
  • 财政年份:
    2018
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Canada Research Chairs
Application of benthic imaging to improve production capacity in the Nova Scotian Sea Cucumber Fishery
应用底栖成像提高新斯科舍海参渔业生产能力
  • 批准号:
    498415-2016
  • 财政年份:
    2017
  • 资助金额:
    $ 1.53万
  • 项目类别:
    Collaborative Research and Development Grants

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为评估大型中上层物种丰度奠定理论和实践基础
  • 批准号:
    402268-2012
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    $ 1.53万
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Development of a theoretical and practical foundation for the assessment of abundance of large pelagic species
为评估大型中上层物种丰度奠定理论和实践基础
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