2016
DOI: 10.1073/pnas.1601073113
|View full text |Cite
|
Sign up to set email alerts
|

Union of phylogeography and landscape genetics

Abstract: Phylogeography and landscape genetics have arisen within the past 30 y. Phylogeography is said to be the bridge between population genetics and systematics, and landscape genetics the bridge between landscape ecology and population genetics. Both fields can be considered as simply the amalgamation of classic biogeography with genetics and genomics; however, they differ in the temporal, spatial, and organismal scales addressed and the methodology used. I begin by briefly summarizing the history and purview of e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
63
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 64 publications
(64 citation statements)
references
References 128 publications
(89 reference statements)
0
63
0
Order By: Relevance
“…While single species studies, particularly those that utilize multilocus data (e.g., Hotaling et al., ), can compare a broad range of detailed models, and comparative studies into a single system enable a more nuanced investigation of how changes in the landscape have influenced evolutionary history (e.g., Mather, Hanson, Pope, & Riginos, ), neither has the potential to uncover generalized patterns on continental or global scales. Automated studies can incorporate organismal trait data in a manner that is not possible in more limited studies, which offers an important connection between evolutionary and ecological processes (Rissler, ). They complement traditional approaches to phylogeography and, by repurposing existing data, represent an efficient research program accessibly to most researchers.…”
Section: Discussionmentioning
confidence: 99%
“…While single species studies, particularly those that utilize multilocus data (e.g., Hotaling et al., ), can compare a broad range of detailed models, and comparative studies into a single system enable a more nuanced investigation of how changes in the landscape have influenced evolutionary history (e.g., Mather, Hanson, Pope, & Riginos, ), neither has the potential to uncover generalized patterns on continental or global scales. Automated studies can incorporate organismal trait data in a manner that is not possible in more limited studies, which offers an important connection between evolutionary and ecological processes (Rissler, ). They complement traditional approaches to phylogeography and, by repurposing existing data, represent an efficient research program accessibly to most researchers.…”
Section: Discussionmentioning
confidence: 99%
“…Although we might expect that processes at fine scales should predict patterns at broader scales, the links between mechanism (e.g., traits that limit or promote movement) and pattern (phylogeographic signal) may not be evident when relying on distinct analytical frameworks. Without a shared framework, the relative influence of extrinsic vs. intrinsic factors in structuring genetic variation, as well as the influence of contemporary vs. past processes, remain unknown, and difficult to separate from the scale of a study (32).…”
Section: Limitations Of Strict Adherence To Concordance Criteriamentioning
confidence: 99%
“…In contrast, despite similar island areas between Puerto Rico versus the US and British Virgin Islands that formed a large complex during the LGM, species diversity differs, with higher diversity on Puerto Rico (Papadopoulou and Knowles 2016b). Similarly, we do not conduct a series of analyses to evaluate what contemporary environmental variables might best explain patterns of genetic variation across the landscape because the dynamic history of the Rocky Mountain sky islands highlights the importance of a historical perspective (Rissler 2016). In contrast, non-spatially explicit demographic models might have been used (Thomé and Carstens 2016).…”
Section: Modelsmentioning
confidence: 99%