隐藏的马尔科夫运动模型揭示了北美两种类动物的多样化的季节性运动模式
John Terrill Paterson1, Aaron N Johnston1, Anna C Ortega2
1U.S. Geological Survey Northern Rocky Mountain Science Center Bozeman Montana USA.
Ecology and evolution
|July 24, 2023
概括
隐藏的马尔科夫运动模型揭示了与鹿相比,角鹿的季节性运动模式不同. 长角鸟表现出更多的变化和长时间的长途运动,特别是在冬季.
科学领域:
- 生态生态学 生态生态学
- 运动生态学 运动生态学
- 野生动物生物学 野生动物生物学
背景情况:
- 了解动物季节性运动对于将景观与健身联系起来至关重要.
- 高度变化的运动模式可能会挑战传统的分类方法.
- 隐藏的马尔科夫运动模型 (HMMs) 为分析复杂的运动数据提供了强大的框架.
研究的目的:
- 通过使用HMMs来评估长角 (Antilocapra americana) 运动模式的季节性变化.
- 为了比较长角运动与鹿 (Odocoileus hemionus) 的记录良好的模式.
- 评估HMM对分析具有挑战性和可变的动物移动数据的实用性.
主要方法:
- 在贝叶斯框架内应用人口级隐藏马尔科夫运动模型 (HMMs).
- 估计每日状态过渡概率的季节性趋势 (短距离与长距离运动).
- 对长角鹿和鹿种群之间的移动模式进行比较分析.
主要成果:
- 鹿表现出与迁徙一致的季节性移动模式,有明显的秋季和春季长途移动周期.
- 长角的季节性移动变化更大,包括冬季长时间的长途移动.
- 与鹿相比,鹿一般更有可能在一年中参与长途运动模式.
结论:
- HMM 提供了关于动物季节性移动的可靠推断,特别是对于可变或具有挑战性的模式.
- HMM为评估运动变化的驱动因素提供了一个框架,例如环境因素和土地开发.
- 这些发现突出了角鸟独特的运动策略,这对它们的保护和管理至关重要.
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