DOI: 10.11606/d.41.2014.tde-22092014-112838
|View full text |Cite
|
Sign up to set email alerts
|

Espaço e diversificação: uma perspectiva teórica

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 50 publications
0
1
0
Order By: Relevance
“…This also prevents the population clumping seen by Felsenstein (1975) (Supplemental Material, Figure S1). Such models have been used extensively in ecological modeling (Durrett and Levin 1994;Bolker and Pacala 1997;Law et al 2003;Fournier and Méléard 2004;Champer et al 2019 preprint), but rarely in population genetics where, to our knowledge, implementations of continuous space models before their availability through SLiM have focused on a small number of genetic loci (e.g., Slatkin and Barton 1989;Barton et al 2002;Robledo-Arnuncio and Rousset 2010;Jackson and Fahrig 2014;Rossine 2014), which limits the ability to investigate the impacts of continuous space on genome-wide genetic variation as is now routinely sampled from real organisms. By simulating chromosome-scale sequence alignments and complete population histories, we are able to treat our simulations as real populations and replicate the sampling designs and analyses commonly conducted on real genomic data.…”
Section: Modeling Evolution In Continuous Spacementioning
confidence: 99%
“…This also prevents the population clumping seen by Felsenstein (1975) (Supplemental Material, Figure S1). Such models have been used extensively in ecological modeling (Durrett and Levin 1994;Bolker and Pacala 1997;Law et al 2003;Fournier and Méléard 2004;Champer et al 2019 preprint), but rarely in population genetics where, to our knowledge, implementations of continuous space models before their availability through SLiM have focused on a small number of genetic loci (e.g., Slatkin and Barton 1989;Barton et al 2002;Robledo-Arnuncio and Rousset 2010;Jackson and Fahrig 2014;Rossine 2014), which limits the ability to investigate the impacts of continuous space on genome-wide genetic variation as is now routinely sampled from real organisms. By simulating chromosome-scale sequence alignments and complete population histories, we are able to treat our simulations as real populations and replicate the sampling designs and analyses commonly conducted on real genomic data.…”
Section: Modeling Evolution In Continuous Spacementioning
confidence: 99%