Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.tree.2021.12.007 |
Assessing model adequacy leads to more robust phylogeographic inference | |
Bryan C. Carstens:Megan L. Smith:Drew J. Duckett:Emanuel M. Fonseca:M. Tereza C. Thomé | |
2022-01-10 | |
发表期刊 | Trends in Ecology & Evolution\ |
出版年 | 2022 |
英文摘要 | Phylogeographic studies base inferences on large data sets and complex demographic models, but these models are applied in ways that could mislead researchers and compromise their inference. Researchers face three challenges associated with the use of models: (i) ‘model selection’, or the identification of an appropriate model for analysis; (ii) ‘evaluation of analytical results’, or the interpretation of the biological significance of the resulting parameter estimates, delimitations, and topologies; and (iii) ‘model evaluation’, or the use of statistical approaches to assess the fit of the model to the data. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/345119 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Bryan C. Carstens:Megan L. Smith:Drew J. Duckett:Emanuel M. Fonseca:M. Tereza C. Thomé. Assessing model adequacy leads to more robust phylogeographic inference[J]. Trends in Ecology & Evolution\,2022. |
APA | Bryan C. Carstens:Megan L. Smith:Drew J. Duckett:Emanuel M. Fonseca:M. Tereza C. Thomé.(2022).Assessing model adequacy leads to more robust phylogeographic inference.Trends in Ecology & Evolution\. |
MLA | Bryan C. Carstens:Megan L. Smith:Drew J. Duckett:Emanuel M. Fonseca:M. Tereza C. Thomé."Assessing model adequacy leads to more robust phylogeographic inference".Trends in Ecology & Evolution\ (2022). |
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