首页> 外文学位 >Sensitivity Analysis of Wolf Restoration in Yellowstone Nation Park Using Omnivory Models.
【24h】

Sensitivity Analysis of Wolf Restoration in Yellowstone Nation Park Using Omnivory Models.

机译:使用杂食性模型对黄石国家公园恢复狼的敏感性分析。

获取原文
获取原文并翻译 | 示例

摘要

In the ever-changing world of ecology, species survival often depends on approximations and measurements taken by biologists. These approximations help to ensure and predict the future of that given species. Our ecological community of interest involves wolves, elk, and berry producing shrubs within Yellowstone National Park. We use two different systems of ordinary differential equations, each increasing in complexity to model our community. In each model the predator (wolves) and consumers (elk) compete for a common resource, berry producing shrubs. We call this consumption of resources, from more than one trophic level, omnivory. We approximate each system with parameter values from field biologist and wildlife reports. We then use a process called sensitivity analysis to determine how small changes in parameter values affect the solution to each respective system. This process allows us to determine which values biologists should take more care in monitoring to prevent extinction. Both our models offer similar results. The predator (wolf) mortality rate is the most sensitive to small changes. The least sensitive of our parameter values were the carrying capacity of the resource and the handling time of resources by wolves.
机译:在瞬息万变的生态世界中,物种的生存通常取决于生物学家的近似和测量。这些近似值有助于确保和预测给定物种的未来。我们感兴趣的生态社区涉及黄石国家公园内的狼,麋鹿和浆果灌木丛。我们使用两种不同的常微分方程组,每种系统的复杂性都在增加,以模拟我们的社区。在每种模型中,捕食者(狼)和消费者(麋鹿)争夺一种共同的资源,浆果产生灌木。我们称这种资源消耗为一种以上的营养水平。我们用野外生物学家和野生动植物报告中的参数值来估算每个系统。然后,我们使用称为灵敏度分析的过程来确定参数值的微小变化会影响每个系统的解决方案。这个过程使我们能够确定生物学家在监测以防止灭绝时应多加注意的值。我们的两个模型都提供相似的结果。捕食者(狼)的死亡率对微小变化最敏感。我们的参数值中最不敏感的是资源的承载能力和狼对资源的处理时间。

著录项

  • 作者

    Fields, Derek.;

  • 作者单位

    Marshall University.;

  • 授予单位 Marshall University.;
  • 学科 Mathematics.;Applied mathematics.;Wildlife conservation.;Ecology.
  • 学位 M.A.
  • 年度 2017
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 植物学;
  • 关键词

  • 入库时间 2022-08-17 11:54:17

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号