Landscape genetics: where are we now?

@article{Storfer2010LandscapeGW,
  title={Landscape genetics: where are we now?},
  author={Andrew Storfer and Melanie A Murphy and Stephen F. Spear and Rolf Holderegger and Lisette P. Waits},
  journal={Molecular Ecology},
  year={2010},
  volume={19}
}
Landscape genetics has seen rapid growth in number of publications since the term was coined in 2003. An extensive literature search from 1998 to 2008 using keywords associated with landscape genetics yielded 655 articles encompassing a vast array of study organisms, study designs and methodology. These publications were screened to identify 174 studies that explicitly incorporated at least one landscape variable with genetic data. We systematically reviewed this set of papers to assess… 
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References

SHOWING 1-10 OF 157 REFERENCES
Putting the ‘landscape’ in landscape genetics
TLDR
A definition for the term ‘landscape genetics’ is offered, an overview of the landscape genetics literature is provided, guidelines for appropriate sampling design and useful analysis techniques are given, and future directions in the field are discussed.
Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data
TLDR
Results suggest that some of the most commonly applied techniques in landscape genetics have high type-1 error rates, and that multivariate, non-linear methods are better suited for landscape genetic data analysis.
Landscape Genetics
ABSTRACT Landscape genetics is a rapidly evolving interdisciplinary field that integrates approaches from population genetics and landscape ecology. In the context of habitat fragmentation, the
Why sampling scheme matters: the effect of sampling scheme on landscape genetic results
TLDR
This work built genetic models where individual genotypes were either randomly distributed across a landscape or contained gradients created by neighbor mating for multiple generations, and investigated the influence of six different sampling protocols on population clustering using program STRUCTURE, the most commonly used model-based clustering method for multilocus genotype data.
Spatial genetic structure of a small rodent in a heterogeneous landscape
TLDR
This study investigated the population genetic structure and gene flow pattern for the common vole in a heterogeneous landscape characterised by strong spatial and temporal variation, and suggests intense small‐scale dispersal associated with a large effective population size.
A Spatial Statistical Model for Landscape Genetics
TLDR
A Bayesian model implemented in a Markov chain Monte Carlo scheme that allows inference of the location of such genetic discontinuities from individual geo-referenced multilocus genotypes, without a priori knowledge on populational units and limits is described.
Genetic structure is influenced by landscape features: empirical evidence from a roe deer population
TLDR
The analysis suggests that the landscape has a significant influence on the structuring of the population under study, and illustrates the use of geneland as a powerful method to infer population structure, even in situations of young populations exhibiting low genetic differentiation.
Landscape genetics of high mountain frog metapopulations
TLDR
Test hypotheses of functional connectivity that include both between‐site and at‐site landscape processes in metapopulations of Columbia spotted frogs (Rana luteiventris) are tested by employing a novel justification of gravity models for landscape genetics.
Landscape modelling of gene flow: improved power using conditional genetic distance derived from the topology of population networks
TLDR
This manuscript focuses on the use of conditional genetic distance (cGD) derived from population networks and the utility of extracting potentially confounding effects caused by correlations between phylogeographic history and contemporary ecological factors in landscape genetic analyses.
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