使用结构方程模型估计潜在的个人人口异质性
Thomas V Riecke1,2, Rémi Fay3, Johann Hegelbach4
1Swiss Ornithological Institute, Sempach, Switzerland.
Ecology
|August 6, 2025
概括
这项研究揭示了野生鸟类在生存和繁殖方面的显著个体差异. 先进的统计建模有助于量化这种变化,这对于理解人口生态和进化过程至关重要.
科学领域:
- 人口生态学 人口生态学
- 进化生态学的进化生态学
- 定量遗传学 是一种定量遗传学.
背景情况:
- 在野生种群中测量个体健身驱动因素是具有挑战性的,因为观察不完美.
- 对生存和繁殖的个体变异的估计通常是不可靠的,因为检测不完善,样本大小小小.
研究的目的:
- 开发和演示结构方程建模方法,用于估计人口表现的潜在个体变化.
- 将这种潜伏变异与特定的人口组件 (如生存率和生育率) 联系起来.
主要方法:
- 使用结构方程建模 (SEM) 对长期 (30+年) 捕获-重新捕获数据.
- 应用了SEM方法对两种流物种:白喉 (Cinclus cinclus) 和脚 (Ficedula hypoleuca).
- 同时估计潜伏的个体质量和特定年龄的人口变化.
主要成果:
- 在两种研究物种中发现了生存和生育能力的衰老性下降.
- 在人口统计表现方面表现出了个体间的大量异质性.
- 发现年龄较大,质量较高的个体比年轻,质量较低的个体具有更高的残余生殖价值.
结论:
- 结构方程建模提供了一种可靠的方法来估计野生种群的人口表现的潜在个体变化.
- 该方法揭示了健身组件和与年龄相关的下降的显著异质性.
- 这些发现对理解野生种群的进化过程和保护策略具有重要意义.
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