标记丢失会对多州模型中的人口统计率估算造成严重偏差:利用模拟数据集和经验数据集进行的案例研究

F. Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, E. Teeling, S. Puechmaille
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引用次数: 0

摘要

1.过去几十年来,野生物种个体识别方法的发展和捕获-标记-再捕获(CMR)模型的改进极大地改善了对种群人口率的评估,从而解决了生态和保护问题。尤其是多态模型,它在分析复杂的研究系统方面具有很强的灵活性,在生态学界越来越受欢迎。在本研究中,我们将重点关注标记丢失问题以及与之相关的已注释个体的回收问题。2.为了填补这一知识空白,我们采用了多种模拟情景,这些情景反映了常见的实际案例研究,并从以下研究中汲取了灵感。
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Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets
1. The development of methods for individual identification in wild species and the refinement of Capture-Mark-Recapture (CMR) models over the past few decades have greatly improved the assessment of population demographic rates to address ecological and conservation questions. In particular, multi-state models, which offer flexibility in analysing complex study systems, have gained popularity within the ecological community. In this study, we focus on the issue of mark loss and the associated recycling of remarked individuals, which requires further exploration given the increasing use of these models. 2. To fill this knowledge gap, we employed a wide range of simulation scenarios that reflect commonly encountered real case studies, drawing inspiration from the
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