Abstract:
:Estimation of demographic history from nucleotide sequences represents an important component of many studies in molecular ecology. For example, knowledge of a population's history can allow us to test hypotheses about the impact of climatic and anthropogenic factors. In the past, demographic analysis was typically limited to relatively simple population models, such as exponential or logistic growth. More flexible approaches are now available, including skyline-plot methods that are able to reconstruct changes in population sizes through time. This technical review focuses on these skyline-plot methods. We describe some general principles relating to sampling design and data collection. We then provide an outline of the methodological framework, which is based on coalescent theory, before tracing the development of the various skyline-plot methods and describing their key features. The performance and properties of the methods are illustrated using two simulated data sets.
journal_name
Mol Ecol Resourjournal_title
Molecular ecology resourcesauthors
Ho SY,Shapiro Bdoi
10.1111/j.1755-0998.2011.02988.xsubject
Has Abstractpub_date
2011-05-01 00:00:00pages
423-34issue
3eissn
1755-098Xissn
1755-0998journal_volume
11pub_type
杂志文章,评审abstract::Knowledge of population demographics is important for species management but can be challenging in low-density, wide-ranging species. Population monitoring of the endangered Sonoran pronghorn (Antilocapra americana sonoriensis) is critical for assessing the success of recovery efforts, and noninvasive DNA sampling (ND...
journal_title:Molecular ecology resources
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journal_title:Molecular ecology resources
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doi:10.1111/1755-0998.12379
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pub_type: 杂志文章
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journal_title:Molecular ecology resources
pub_type: 杂志文章
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pub_type: 评论,信件
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journal_title:Molecular ecology resources
pub_type: 杂志文章
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pub_type: 杂志文章
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pub_type: 杂志文章
doi:10.1111/1755-0998.13250
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journal_title:Molecular ecology resources
pub_type: 杂志文章
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journal_title:Molecular ecology resources
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