准确估计人口参数之间的相关性:对Riecke等人的一种反应. (2024) 年,将在2024年
Cody E Deane1, Lindsay G Carlson2, Curry J Cunningham3
1University of Alaska Fairbanks Department of Biology and Wildlife Fairbanks Alaska USA.
Ecology and evolution
|February 26, 2025
概括
使用标签恢复数据估计动物种群动态的相关性在小样本大小时具有挑战性. 结果表明,当数据有限时,只有相关性的标志是可靠的解释.
科学领域:
- 生态生态学 生态生态学
- 人口动态 人口动态
- 野生动物管理 野生动物管理
背景情况:
- 标签回收数据对于了解被剥削人口对收获的人口反应至关重要.
- 之前的研究已经探索了恢复和生存概率之间的相关参数的偏差和确定性.
- 提议在以前的发行版中进行细化,以参数化标签恢复模型.
研究的目的:
- 为了评估不同先前分布 (Gamma{1,1}) 与之前分布 (Gamma{1,1}) 的影响. 统一 ((0,5)) 关于估计康复和生存概率之间的相关性.
- 在标签恢复模型中,对不同样本大小的参数恢复和推断可靠性进行评估.
- 为了比较离散时间和危险率参数化,以估计特定原因死亡率.
主要方法:
- 将标签恢复模型与之前由Deane等人使用的模拟数据相匹配. (2023年) 开始使用.
- 作为标准偏差的先行分布,采用了Gamma(1,1),将其与统一的(0,5) 进行比较.
- 估计的恢复和存活率在离散时间和特定原因死亡率作为危险率.
主要成果:
- 在大样本大小的情况下,前两种分布都产生了类似的,可靠的参数恢复和推断.
- 典型的北美种群的小样本大小,导致不确定的和模糊的相关性估计.
- 样本规模的减少增加了与恢复相对的年生存率估计的不确定性,阻碍了相关性估计.
结论:
- 来自标签恢复模型的相关性估计在小样本大小时极其不确定.
- 在数据限制下,相关性标志可能是唯一可靠解释的属性.
- 这些发现对野生动物管理和解释人口对捕捞的反应有影响.
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