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mort:一种R包,用于在被动遥测阵列中保守地识别死亡率和丢弃标签
Rosie Smith1, Joseph Bottoms2, Diego Del Villar-Guerra3
1Department of Biology, University of Waterloo, Waterloo, Ontario, Canada.
The Journal of animal ecology
|April 19, 2025
概括
在R包中,mort帮助研究人员在遥测研究中解释动物死亡率和标签流失. 这提高了生态推断和数据分析的准确性.
科学领域:
- 生态生态学 生态生态学
- 野生动物生物学 野生动物生物学
- 数据科学数据科学数据科学
背景情况:
- 被动遥测对于追踪动物和生态研究至关重要.
- 潜在的偏见来自未解决的动物死亡率和标签流失.
- 缺少用于分析遥测数据的标准化方法.
研究的目的:
- 引入R包死亡标签,以识别潜在的死亡或棚标签.
- 为处理被动遥测数据提供标准化的工作流程.
- 提高远程测量研究的生态推理的准确性.
主要方法:
- 开发了用于被动遥测数据分析的R套件模型.
- 使用静止接收器和不重叠的检测半径.
- 实施用户定义或数据衍生的死亡率检测值.
主要成果:
- 抵押包为各种物种和系统提供灵活和可定制的选择.
- 通过三个案例研究证明了套餐的实用性.
- 确定了潜在的死亡率和标签流失事件.
结论:
- 这款Mort套件填补了遥测数据分析中的一个关键缺口.
- 提高了生态研究中的可重复性.
- 支持基于遥测数据的更可靠的管理决策.
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