Bridging gaps in demographic analysis with phylogenetic imputation
Bridging gaps in demographic analysis with phylogenetic imputation
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DOI：
10.1111/cobi.13658
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发表时间：
2021-01-21
影响因子：
6.3
通讯作者：
Beckerman, Andrew P.
中科院分区：
文献类型：
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作者：
James, Tamora D.;Salguero-Gomez, Roberto;Beckerman, Andrew P.
系统发育信息的归算方法很少用于估计人口统计数据中的缺失值，但可能是重建保护物种的重要存活率、成熟率和繁殖力的有力工具。估算的生命率可用于参数化人口模型，以探索当生命率受到干扰时人口如何反应。我们使用50种鸟类的标准化生命率估计值来评估系统发育归算的使用，以填补人口统计学数据的空白。我们计算了排除在数据集之外的焦点物种的生命率的推算精度，无论是单独的还是组合的，以及有无系统发育、体重和生活史性状数据。我们使用估算的生命率来计算人口统计指标，包括世代时间，以验证估算在人口统计分析中的使用。即使在缺乏系统发育信息的情况下，生命率和其他性状数据之间的协方差也为指导鸟类生命率缺失的归因提供了强有力的基础。零模型和系统发育模型的平均NRMSE差异为
Phylogenetically informed imputation methods have rarely been applied to estimate missing values in demographic data but may be a powerful tool for reconstructing vital rates of survival, maturation, and fecundity for species of conservation concern. Imputed vital rates could be used to parameterize demographic models to explore how populations respond when vital rates are perturbed. We used standardized vital rate estimates for 50 bird species to assess the use of phylogenetic imputation to fill gaps in demographic data. We calculated imputation accuracy for vital rates of focal species excluded from the data set either singly or in combination and with and without phylogeny, body mass, and life-history trait data. We used imputed vital rates to calculate demographic metrics, including generation time, to validate the use of imputation in demographic analyses. Covariance among vital rates and other trait data provided a strong basis to guide imputation of missing vital rates in birds, even in the absence of phylogenetic information. Mean NRMSE for null and phylogenetic models differed by