Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data

By Niko Balkenhol, L. Waits, Raymond J. Dezzani. 2009

335 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bcbf1313041c795d57e647de9118b06c12ba6ba7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

Citations in the corpus

A conceptual framework for the spatial analysis of landscape genetic data (2013, methodology): “Each patch connectivity measure may be calculated for a single environmental factor, or for a resistance surface that integrates multiple factors (Balkenhol et al. 2009b; Foll and Gaggiotti 2006).”
Identifying future research needs in landscape genetics: where to from here? (2009, background): “At the same time, very few published studies compare the various statistical approaches, or test their reliability under realistic landscape genetic scenarios (Latch et al. 2006; Chen et al. 2007; Balkenhol et al. 2009 ).”
Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges (2010, background): “However, much more research is needed to combine the different data, methods and theories in effective and meaningful ways (Storfer et al., 2007; Balkenhol et al., 2009a, 2009b).”
Ecological genetics of invasive alien species (2011, background): “…tested for correlations with landscape or environmental features, allowing iden-tification of genetic continuity (or connectivity) between patches, or discontinuities resulting from barriers to dispersal (see e.g. Balkenhol et al. 2009; Guillot et al. 2009; Storfer et al. 2010, for recent reviews).”
Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, methodology): “Mantel tests have been severely criticized for various reasons, and alternative approaches should be used whenever possible (Balkenhol et al. 2009; Legendre and Fortin 2010; Guillot and Rousset 2013; Legendre et al. 2015).”
Adapting to climate change: a perspective from evolutionary physiology (2010, background): “…to physiologically based models of species’ distributions (Kearney & Porter 2009), crop performance models (e.g. Brisson et al. 1992), spatially explicit population viability modelling (e.g. Carroll 2007), landscape ecology (e.g. Werner et al. 2009) and landscape genetics (Balkenhol et al. 2009).”
Seascape Genetics: Populations, Individuals, and Genes Marooned and Adrift (2013, methodology): “Different methods, of course, will be more suitable for some time scales than others (Balkenhol et al. 2009; Anderson et al. 2010; Bohonak & Vandergast 2011).”
Dismantling the Mantel tests (2011, methodology): “, 2007; Balkenhol et al., 2009). In view of the various tasks above, the Mantel tests have a number of appealing features. First they allow one to synthesise information contained in multivariate data in a single index and hence in a single test; second they allow one to deal with the case outlined ”
Landscape genetics: where are we now? (2010, methodology): “Storfer et al. (2007), Balkenhol et al. (2009a) and Guillot et al. (2009) give overviews on a variety of alternative approaches for landscape genetic analysis and the availability of new landscape genetic simulations software will facilitate further comparisons of alternative methods (Landguth &…”
Re-Evaluating Causal Modeling with Mantel Tests in Landscape Genetics (2013, background): “However, both approaches suffer from high Type I error rates of incorrectly finding support for alternative models that are highly correlated with the correct resistance process (see also [44]).”
GENETIC ISOLATION BY ENVIRONMENT OR DISTANCE: WHICH PATTERN OF GENE FLOW IS MOST COMMON? (2014, methodology): “Multivariate model-based approaches can be very effective in testing how distance, landscape, and other environmental factors interact and may influence gene flow (Balkenhol et al. 2009; Legendre and Legendre 2012; Sork et al. 2013).”