雷利步骤选择功能和连接到连续时间机械运动模型的连接
Joseph M Eisaguirre1, Perry J Williams2, Mevin B Hooten3
1U.S. Geological Survey, Alaska Science Center, Anchorage, AK, USA. jeisaguirre@usgs.gov.
Movement ecology
|February 8, 2024
概括
生态扩散模型对生态学家来说可能是一个挑战. 步骤选择函数 (SSF) 提供了一个实用的替代方案,新的分布改善了它们对动物移动数据的应用,即使是不规则的间隔.
科学领域:
- 生态生态学 生态生态学
- 运动生态学 运动生态学
- 数学生物学 数学生物学
背景情况:
- 生态扩散模型提供了动物运动的第一原则观点,但很复杂,无法适应数据.
- 生态学家广泛采用步骤选择函数 (SSF) 来分析动物运动和息地选择.
研究的目的:
- 展示生态扩散原则如何为开发更灵活和适用的SSF提供信息.
- 为SSF引入新的分布,以改善数据匹配和推理.
主要方法:
- 利用变量的变化来推导生态扩散对SSF可用的阶段分布的影响.
- 开发并应用SSF模型,将这些新分布纳入山狮移动数据.
主要成果:
- 确定生态扩散意味着雷利步长和SSF的均转角分布.
- 展示了这些分布如何适应具有不规则时间间隔的数据,与标准方法相比提高了模型精度和推理.
结论:
- 为SSFs引入了一种新的连续时间步长分布.
- 提高了SSF对各种动物跟踪数据集的适用性,特别是那些具有不规则时间采样的数据集.
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