Putting the ‘landscape’ in landscape genetics

By Andrew Storfer, M. Murphy, Jeffrey Scott Evans, Caren S. Goldberg, S. Robinson, Stephen F. Spear, Raymond J. Dezzani, Eric Delmelle, L. Vierling, L. Waits. Heredity, 2007

935 citations recorded by the source corpus.

Subfields: Genetics

View Paper: https://www.semanticscholar.org/paper/ba852a569d156e9617a6f8f08534ffa58d1047ae

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In Genetics

Citations in the corpus

Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho (2010, background): “…explicitly quantifies the effects of landscape composition, configuration, and matrix quality on spatial patterns in neutral and adaptive genetic variation and underlying microevolutionary processes (Manel et al. 2003; Storfer et al. 2007; Holderegger and Wagner 2008; Balkenhol et al. 2009).”
Scale dependent inference in landscape genetics (2010, positive): “Landscape genetics is a synthetic field combining spatial population genetics with landscape ecology (Manel et al. 2003; Storfer et al. 2007).”
Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data (2009, background): “Thus, the final goal of landscape genetics is the quantification of landscape effects on genetic variation (Storfer et al. 2007).”
ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms (2014, background): “Landscape genetic studies frequently seek to understand how landscape features affect spatial genetic structure (Manel et al., 2003; Storfer et al., 2007), often with a goal of quantifying the effective distance between sample locations as a function of the landscape matrix (McRae, 2006; Spear,…”
Estimating effective landscape distances and movement corridors: Comparison of habitat and genetic data (2015, background): “…recently, the field of landscape genetics has shown great potential to provide more rigorous methods to parameterize resistance models by inferring the influences of landscape on realized population connectivity (Spear et al. 2005, Cushman et al. 2006, Storfer et al. 2007, Balkenhol et al. 2009).”
Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate (2013, background): “Traditionally, landscape genetics has used selectively neutral genetic markers and focused on the impact of landscape features in shaping movement of animals, gene movement of plants via seed and pollen, and geographic patterns of genetic variation, as discussed in numerous reviews on the topic (Bal”
A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning (2010, methodology): “To date, analyses have most often relied on simple Mantel tests to integrate landscape information with population genetics (Storfer et al., 2007; Pavlacky et al., 2009), despite the likely violation of the stringent assumptions of the test (Bossart & Prowell, 1998), and non-independence of genetic…”
Applications of landscape genetics in conservation biology: concepts and challenges (2010, background): “This has led to the research field of landscape genetics, which integrates population genetics, landscape ecology and spatial statistics (Manel et al. 2003; Storfer et al. 2007; Holderegger and Wagner 2008).”
Influence of season and meteorological parameters on flight activity of Culicoides biting midges (2011, background): “…over land may be further investigated with the use of hypervariable microsatellite markers and landscape data to examine the gene flow between populations, possible topographic barriers to dispersal and the use of habitat corridors between suitable areas (Cohuet et al. 2004; Storfer et al. 2007).”
Why sampling scheme matters: the effect of sampling scheme on landscape genetic results (2009, background): “Although other landscape genetic approaches exist (e. g. Double et al. 2005; Cushman et al. 2006; Storfer et al. 2007), the most common way to conduct individual-based landscape genetic analyses is to sample individuals diffusely across a landscape, detect discontinuities among mulitlocus genotypes…”
Meta‐analysis reveals the importance of matrix composition for animals in fragmented habitat (2011, background): “…metrics focus explicitly on how different land cover types or landscape features exert varying levels of resistance to organism movement (Storfer et al., 2007; McRae et al., 2008), and ultimately affect connectivity by influencing the probability of movement, colonization and rates of…”