Graph models of habitat mosaics.

By Dean L. Urban, Emily S. Minor, Eric A. Treml, Robert S. Schick. Ecology Letters, 2009

595 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4060c1e0491f3cc34f77bd623592799d04f5c78a

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In Ecology

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments (2010, background): “In landscape cology and metapopulation studies network-based models (or raph theoretical as they are often called) are used to describe and nalyze the possibilities for species movement among spatially seprated patches of habitats in heterogeneous landscapes (Keitt et al., 997; Urban and Keitt, 2001”
Circuit Theory and Model-Based Inference for Landscape Connectivity (2013, unknown): “Circuit theory has also seen extensive recent use in landscape ecology, where it has been theoretically linked to animal movement and gene flow in heterogeneous landscapes (McRae 2006; Cushman et al. 2006; McRae and Beier 2007; McRae et al. 2008; Urban et al. 2009; Cushman and Landguth 2010; Dyer, N”
Population dynamics in migratory networks (2010, methodology): “Graph-based models are already starting to provide a useful framework for metapopulation theory in which the nodes in the graph represent habitats and the links between the nodes represent the functional connections (i.e., dispersal) between habitats ( Urban et al. 2009 ).”
Connecting natural landscapes using a landscape permeability model to prioritize conservation activities in the United States (2012, methodology): “These approaches can provide exact calculations of metrics, but on typical 32-bit desktop computers are currently limited in practice to graphs with 103–105 nodes (Jantz & Goetz 2008; Urban et al. 2009; Circuitscape 2011; Connectivity Analysis Toolkit 2011; Saura et al. 2011).”
Biodiversity, species interactions and ecological networks in a fragmented world (2012, background): “In a habitat fragmentation framework, spatial networks can quantify the effects of losing nodes or links, for example, by mimicking the loss of habitat patches or dispersal corridors for a single species within a meta-population (Urban and Keitt, 2001; Urban et al., 2009).”
Spatial statistics, spatial regression, and graph theory in ecology (2012, methodology): “…a hierarchical decomposition approach based on Moran’s eigenvector maps (MEM; Dray et al., 2006; Griffith and Peres-Neto, 2006) or nested kriging (Wackernagel, 2003; Bellier et al., 2007) for sampled data, and a wavelet multi-scale decomposition for grid data (Keitt and Urban, 2005; James et…”
Individual dispersal, landscape connectivity and ecological networks (2013, background): “simple estimates of connectivity is to end up with simple rules, such as ‘patches isolated by less than a threshold distance or by a threshold of presumed costs are functionally connected, others are functionally isolated’, a black-andwhite classification typically resulting, for instance, from a gr”
Network analysis in conservation biogeography: challenges and opportunities (2010, unknown): “Urban et al. (2009) offer a good recent review of methods for using network analysis to think about habitat patch mosaics.”