Using circuit theory to model connectivity in ecology, evolution, and conservation.

By B. Mcrae, Brett G. Dickson, Timothy H. Keitt, Viral B. Shah. Ecology, 2008

2,050 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/178ead538dc9d8ccd2e9ddc1e9c77c5cd8846f6e

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In Ecology

In Global and Planetary Change

Citations in the corpus

Connectivity for conservation: a framework to classify network measures. (2011, methodology): “2c) in which nodes are connected by special links made up of one or more resistors (electrical components that each conduct a precise amount of current; McRae et al. 2008).”
Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis (2010, background): “Both may be useful for identifying corridors or connective areas for conservation (McRae et al. 2008).”
Dispersal strength determines meta‐community structure in a dendritic riverine network (2015, background): “the distance between sites along the riverine dendritic network) have been applied to stream networks, which fails to consider more realistic landscape variables in DDR analyses (McRae et al., 2008).”
Circuit‐theory applications to connectivity science and conservation (2018, methodology): “Circuit theory’s basis in random-walk theory results in an implicit assumption that individuals moving across a landscape have no knowledge of relative resistance beyond their immediate surroundings, making it particularly appropriate for modeling natal dispersal paths (McRae et al. 2008).”
The flickering connectivity system of the north Andean páramos (2019, methodology): “Dispersal pathway analysis among páramos using c) Least cost pathways and d) Circuit model expressed in cumulative current flow density (McRae et al., 2008).”
ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms (2014, background): “Additional strategies to reduce runtimes include modifying the connection scheme from the default setting of 8–4, and reducing the resolution of the resistance surfaces (McRae et al., 2008).”
Functional connectivity within conservation networks: Delineating corridors for African elephants (2013, methodology): “Connectivity between clusters was evaluated using circuit theory (McRae et al. 2008) and the program Circuitscape (McRae and Shah 2009).”
Centrality measure in graphs (2010, background): “Now an even more widespread interest is developing, for applications: in electrical circuits [29,30] in molecular bonding patterns [31–33]inbiochemicalreactionnetworks[34,35]inecologicalorpopulation-genetics migration patterns [ 36 ] and perhaps in food-webs [37].”
A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape (2010, background): “…dispersal may be also quantified through effective (least-cost) distances or their modification to account for multiple pathways in the landscape (McRae et al. 2008), or through actual movement data derived from radiotracking or mark-release-recapture experiments (Schadt et al. 2002, Chetkiewicz…”
Biodiversity in the Mexican highlands and the interaction of geology, geography and climate within the Trans‐Mexican Volcanic Belt (2015, background): “For example, landscapes can be represented as conductive surfaces, with low resistances assigned to areas that best promote gene flow (McRae et al., 2008), which in turn can be”
Identifying future research needs in landscape genetics: where to from here? (2009, background): “…to studies of population fragmentation and connectivity by explicitly using resistance maps for delineating regional conservation corridors, and by quantifying the degree of expected connectivity between specific areas (Epps et al. 2007; Cushman et al. 2009; McRae et al. 2008).”
Graph models of habitat mosaics. (2009, methodology): “A slight disadvantage of this approach is that circuit links cannot be directional (McRae et al. 2008).”
Placing linkages among fragmented habitats: do least‐cost models reflect how animals use landscapes? (2011, methodology): “Individual animals rarely use a single optimum route, and single-pixel-wide LCPs are of limited biological value (Majka, Jenness & Beier 2007; McRae & Beier 2007; McRae et al. 2008; Pinto & Keitt 2009).”