Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 441B Life Science South, Moscow, ID 83844, USA.
Mol Ecol Resour. 2013 Jan;13(1):154-7. doi: 10.1111/1755-0998.12019. Epub 2012 Sep 21.
Non-invasive genetic sampling is an increasingly popular approach for investigating the demographics of natural populations. This has also become a useful tool for managers and conservation biologists, especially for those species for which traditional mark-recapture studies are not practical. However, the consequence of collecting DNA indirectly is that an individual may be sampled multiple times per sampling session. This requires alternative statistical approaches to those used in traditional mark-recapture studies. Here we present the R package capwire, an implementation of the population size estimators of Miller et al. (Molecular Ecology 2005; 14: 1991), which were designed to deal specifically with this type of sampling. The aim of this project is to enable users across platforms to easily manipulate their data and interact with existing R packages. We have also provided functions to simulate data under a variety of scenarios to allow for rigorous testing of the robustness of the method and to facilitate further development of this approach.
非侵入性遗传采样是一种越来越受欢迎的研究自然种群人口统计学的方法。对于管理者和保护生物学家来说，这也是一种有用的工具，特别是对于那些传统的标记重捕研究不太实用的物种。然而，间接收集 DNA 的后果是，个体可能会在每次采样会议中被多次采样。这需要替代传统标记重捕研究中使用的统计方法。在这里，我们介绍了 R 包 capwire，这是 Miller 等人设计的种群大小估计器的实现（Molecular Ecology 2005; 14: 1991），专门用于处理这种类型的采样。该项目的目的是使跨平台的用户能够轻松地操作他们的数据并与现有的 R 包进行交互。我们还提供了各种场景下模拟数据的功能，以允许对方法的稳健性进行严格测试，并促进这种方法的进一步发展。
