ISOLATION BY RESISTANCE

By B. Mcrae. Evolution; international journal of organic evolution, 2006

1,272 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics

View Paper: https://www.semanticscholar.org/paper/767df23f40effe563c9f08b5b03f32b32d50b9ff

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In Ecology, Evolution, Behavior and Systematics

In Genetics

Citations in the corpus

Landscape genetics: where are we now? (2010, background): “…multivariate models that include landscape variables perform significantly better than simple isolation-by-distance tests in explaining variance in genetic distance among populations (Spear et al. 2005; Vignieri 2005; Foll & Gaggliotti 2006; McRae 2006; Spear & Storfer 2008; Murphy et al. 2010).”
Biological corridors and connectivity (2013, background): “The precise relationships between circuit theory and random walks mean that circuits can be related to movement ecology and population genetics via random walk and coalescent theories, providing concrete interpretations of connectivity measures (McRae 2006; McRae et al. 2008).”
Using circuit theory to model connectivity in ecology, evolution, and conservation. (2008, methodology): “The former assumes nodes (or cells) represent subpopulations (or occupied habitat for continuously distributed populations), with resistors representing numbers of migrants exchanged between adjacent nodes per generation (McRae 2006 ).”
Aquatic insects in a sea of desert: population genetic structure is shaped by limited dispersal in a naturally fragmented landscape (2013, methodology): “3), was generated via a least-cost path analysis in ArcGIS, rather than using CIRCUITSCAPE.”
Visualizing spatial population structure with estimated effective migration surfaces (2014, methodology): “…graphs the expected coalescence times T through [28]: This approximation is exact for isotropic migration (i.e., if the demes are equivalent with respect to the rate and pattern of migration), and for more general migration models the approximation gets better as the migration rates increase [28].”
Connectivity for conservation: a framework to classify network measures. (2011, methodology): “…advances in modeling the spatial structure of habitat networks (Fall et al. 2007, Dale and Fortin 2010) and quantifying element-level redundancy via the use of circuit (McRae 2006, McRae et al. 2008) may inspire measures of spatial redundancy at higher structural levels within habitat networks.”
Spatial Population Genetics: It's About Time (2019, positive): “These models were introduced to spatial population genetics by McRae (McRae 2006,McRae & Beier 2007,McRae et al. 2008) and represented an important step forward in modeling dispersal (over, e.g., least-cost path analysis).”
Forks in the Road: Choices in Procedures for Designing Wildland Linkages (2008, methodology): “Second, instead of evaluating pixelwide paths produced by each vector, they should evaluate all possible interpatch paths with models derived from circuit theory (McRae 2006; McRae & Beier 2007).”
Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern (2012, background): “Much work in landscape genetics has focused on testing hypothesized relationships between landscape pattern and genetic differentiation in spatially structured populations (Coulon et al. 2006; Cushman et al. 2006; McRae 2006; Schwartz et al. 2009; Shirk et al. 2010).”
Network isolation and local diversity in neutral metacommunities (2010, methodology): “Resistance closeness centrality uses the resistance distance, which we calculated using the method described by McRae (2006).”
The role of dispersal in river network metacommunities: Patterns, processes, and pathways (2018, methodology): “Isolation by 1475 resistance approaches are used in many fields (McRae, 2006), and there are many different 1476 approaches to calculating landscape resistances (Spear, Balkenhol, Fortin, McRae, & Scribner, 1477 2010; Zeller, McGarigal, & Whiteley, 2012).”
Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks (2010, background): “However, models based on single least-cost paths between patches fail to account for alternative routes (McRae 2006) and provide too restrictive a framework for action, especially within the context of UK land tenure.”
Connecting natural landscapes using a landscape permeability model to prioritize conservation activities in the United States (2012, methodology): “Conceptually, our gradient-based approach is similar to the application of graph theory and circuit theory (McRae 2006) that calculate a metric directly on a (regular) graph where each cell is a vertex.”
Identifying future research needs in landscape genetics: where to from here? (2009, background): “Thus, current population genetic theory is generally not suited for predicting gene flow and genetic structures in heterogeneous environments (but see McRae 2006 ), especially when analyses involve individuals, rather than populations.”
Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data (2009, background): “Populations connected by low-resistance landscapes exchange greater number of migrants, resulting in a significant correlation between genetic differentiation and measures of landscape resistance (McRae 2006).”
Graph models of habitat mosaics. (2009, methodology): “McRae and colleagues (McRae 2006; McRae & Beier 2007; McRae et al. 2008) have promoted circuit theory as a way to model connectivity.”
A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning (2010, methodology): “Distance metrics based in electrical circuit theory have provided the basis for IBR, based on analogous characteristics between conductivity and gene flow (McRae, 2006).”
Seascape Genetics: Populations, Individuals, and Genes Marooned and Adrift (2013, background): “In particular, concepts of landscape resistance used for least cost path and isolation by resistance analyses (McRae 2006) are not easily translatable to flowing aqueous habitats and fail to accommodate the likely asymmetries in migration.”
Individual dispersal, landscape connectivity and ecological networks (2013, background): “A brief list includes isolationby-resistance (McRae, 2006), Bayesian methods to detect landscape effects (e.”