Landscape connectivity: A conservation application of graph theory

By A. Bunn, Dean L. Urban, Timothy H. Keitt. 2000

653 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5076d4a29581a986ec08e5c48cac0d6f3b2a1f3c

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Citations in the corpus

Is landscape connectivity a dependent or independent variable? (2003, neutral): “Bunn et al. 2000 American mink Mustela vison, prothonotary warbler Protonaria citrea wetlands in forest matrix graph operations spanning trees, traversibility IS E”
Assessing functional connectivity using empirical data (2008, methodology): “Furthermore, various graph operations, such as node and edge deletions, can be used to simulate destruction of habitat patches or dispersal routes in terms of their contributions to landscape connectivity ( Bunn et al. 2000; Urban and Keitt 2001).”
A Graph‐Theory Framework for Evaluating Landscape Connectivity and Conservation Planning (2008, background): “For example, societies are networks of people connected by family, friendship, and professional ties (Kossinets & Watts 2006), and landscapes can be viewed as a network of habitat patches connected by dispersing individuals (Bunn et al. 2000).”
Biological corridors and connectivity (2013, methodology): “Bunn et al. 2000; Urban & Keitt 2001; Minor & Urban 2007). Such graphs underlie many methods in connectivity analysis, including LC corridor modelling. Advances in computing and algorithms borrowed from other disciplines have allowed applications of graph algorithms to continuous landscapes instead ”
Toward a network perspective of the study of resilience in social-ecological systems (2006, background): “From ecology we have food webs (Dunne et al. 2002), plant-pollinator networks (Olesen and Jordano 2002, Jordano et al. 2003, Olesen et al. 2002), landscape ecology networks (Keitt et al. 1997, Bunn et al. 2000, Urban and Keitt 2001), and networks of social insects (Fewell 2003).”
Simulating dispersal of reintroduced species within heterogeneous landscapes (2004, background): “…forms in these models, with simple 2-phase maps (e.g.King and With, 2002; Turner et al., 1993; Hiebeler, 2000) or corridors linking adjacent habitat patches (e.g.Bunn et al., 2000; Anderson and Danielson, 1997; Henein and Merriam, 1990; Tischendorf et al., 1998) being the most common formulations.”
Integrating landscape connectivity in broad-scale forest planning through a new graph-based habitat availability methodology: application to capercaillie (Tetrao urogallus) in Catalonia (NE Spain) (2006, background): “Although there is a wide variety of connectivity indices in the literature (Hanski 1994; Bunn et al. 2000; Ricotta et al. 2000; Urban and Keitt 2001; Moilanen and Nieminen 2002; Jordan et al. 2003; Calabrese and Fagan 2004), many of them have been found to present serious limitations that make them ”
The application of 'least-cost' modelling as a functional landscape model (2003, background): “Efficient algorithms and compact data structures developed in graph theory, and applied in GIS environment, now make it possible to consider relatively large landscapes and reduce the grid cell size to a level well below the size of relevant landscape elements (Bunn et al., 2000).”
A new habitat availability index to integrate connectivity in landscape conservation planning : Comparison with existing indices and application to a case study (2007, methodology): “exponential function in Briers, 2002; Bunn et al., 2000; Hanski, 1994; Urban and Keitt, 2001, although other functions are also possible), and eventually being pij = 0 for patches that are not connected in any way.”
Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments (2010, background): “In such cases, an appropriate option would be to apply a cost-distance approach to assess the probability of dispersal between patches i and j (e.g. Bunn et al., 2000; Fu et al., 2010).”
Corridors for Conservation: Integrating Pattern and Process (2006, methodology): “Best of all, these process-based metrics of connectivity are readily visualized on maps to explore the effects of adding or removing connections between nodes (e.g., corridors) or resource patches (Bunn et al. 2000, Urban & Keitt 2001).”
A comparison-shopper's guide to connectivity metrics (2004, methodology): “…form, graphtheoretic approaches entail making a mathematical " graph " of a network of habitat patches for a species that incorporates information on the spatial arrangement of patches as well as patch attributes (Cantwell and Forman 1993; Keitt et al. 1997; Bunn et al. 2000; Urban and Keitt 2001).”