Cost distance modelling of landscape connectivity and gap‐crossing ability using radio‐tracking data

By Yvan Richard, D. Armstrong. 2010

125 citations recorded by the source corpus.

Subfields: Ecology

View Paper: https://www.semanticscholar.org/paper/116a285e426871e59480d92c0a9f458a0b51b738

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In Ecology

Citations in the corpus

Connectivity of the global network of protected areas (2016, background): “Species responses to matrix perception can be modelled as effective (least cost) distances across resistance surfaces (Adriaensen et al., 2003; Richard & Armstrong, 2010), but these resistance surfaces are highly species specific, should be based on empirical data (e.g. telemetry, genetics) and are…”
Linking movement behavior and fine-scale genetic structure to model landscape connectivity for bobcats (Lynx rufus) (2013, unknown): “Few studies, however, have used pathway movement data to develop resistance grids (but see Cushman and Lewis 2010; Richard and Armstrong 2010; Cushman et al. 2011), or tested an empirically derived resistance surface with an independent empirical data set (but see Stevens et al. 2006; Hagerty et…”
Placing linkages among fragmented habitats: do least‐cost models reflect how animals use landscapes? (2011, methodology): “…width of habitats (Laurance&Laurance 1999; Hilty &Merenlender 2004), traits of and distance to adjacent habitat (Binzenhofer et al. 2005; Anderson, Rowcliffe & Cowlishaw 2007; Richard & Armstrong 2010), and level of perceived cover and safety (Rizkalla & Swihart 2007; Beier,Majka & Spencer 2008).”
Estimating landscape resistance to movement: a review (2012, methodology): “In this case, alternative resistance surfaces were derived by experts a priori and the pathway data were used to select the surface that best discriminated between observed and random segments (Richard and Armstrong 2010).”
Combining resource selection and movement behavior to predict corridors for Canada lynx at their southern range periphery (2013, background): “Next, a probabilistic surface that predicts fine-scale movement decisions can depict the functional connectivity between these populations, as defined by resource-movement relationships (Beier et al., 2009; Richard and Armstrong, 2010; Dancose et al., 2011).”
Spatial statistics, spatial regression, and graph theory in ecology (2012, background): “In contrast, the thresholded complete graph directly connects all pairs of nodes that are less than the specified dispersal threshold distance apart (Saura and Torné, 2009).”