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The arrival and establishment of non-indigenous species: Mechanisms, uncertainty, and prediction.

机译:非土著物种的到来和建立:机制,不确定性和预测。

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摘要

Non-indigenous species (NIS) have reduced native species abundances, increased native species extinction probabilities, and changed ecosystem functioning. In addition to the impact on the environment, economic losses are accrued to the public and industry. The inability to make successful predictions of which species will invade, where, and when, hinders invasive species management. My thesis objective was to develop a risk assessment framework for predicting the arrival and establishment of NIS. I used hierarchical probability models that capture the NIS arrival process, and I evaluated invasion risk using stochastic processes to produce invasion waiting times. This process was tested using experimentally manipulated propagule pressure of scentless chamomile (Matricaria perforata), which subsequently validated an invasion waiting time risk assessment approach. The approach was extended using relative measures of ballast water discharge of Chinese mitten crabs (Eriocheir sinensis) into North American ports, and the estimated transport of zebra mussels (Dreissena polymorpha) by recreational boaters in the United States. With these examples, I showed that relative measures require making mathematical and biological assumptions, which when violated, result in poor predictions. I considered the influence of the Allee effect on the invasion waiting time by formulating a hierarchical probability model of NIS establishment for semelparous, sexual species. The Allee effect is detected in the net geometric per capita growth rate, and I evaluated persistence with a stochastic process. With large fecundity, the influence of the Allee effect is negligible and invasion risk can be evaluated using the invasion waiting time based on the probability of one surviving, fertilized female persisting post arrival. This approach was applied to Chinese mitten crab and apple snail (Pomacea canaliculata).
机译:非本地物种(NIS)降低了本地物种的丰度,增加了本地物种的灭绝概率,并改变了生态系统功能。除了对环境的影响外,还会给公众和工业造成经济损失。无法成功预测哪些物种将入侵,何时何地会阻碍入侵物种管理。我的论文目标是建立一个风险评估框架,以预测NIS的到来和建立。我使用了捕获NIS到达过程的分层概率模型,并使用随机过程评估了入侵等待时间,从而评估了入侵风险。使用无味洋甘菊(Matricaria perforata)的实验操纵传播压力测试了此过程,随后验证了入侵等待时间风险评估方法。通过对中华绒螯蟹(中华绒螯蟹)压载水排放到北美港口的相关措施以及美国休闲船夫对斑马贻贝(Dreissena polymorpha)的估计运输量的扩展,对该方法进行了扩展。通过这些示例,我证明了相对的度量需要做出数学和生物学的假设,如果违反这些假设,则会导致较差的预测。我通过为有性有性物种建立NIS建立的分层概率模型,考虑了Allee效应对入侵等待时间的影响。在人均净几何增长率中检测到Allee效应,我用随机过程评估了持久性。繁殖力大时,Allee效应的影响可以忽略不计,并且可以根据一名幸存的受精雌性在到达后持续存活的概率,使用入侵等待时间来评估入侵风险。这种方法被应用于中华绒螯蟹和苹果蜗牛(Pomacea canaliculata)。

著录项

  • 作者

    Jerde, Christopher Lee.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Biology Ecology.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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