The application of 'least-cost' modelling as a functional landscape model
By F. Adriaensen, J. Chardon, G. Blust, E. Swinnen, S. Villalba, Hubert Gulinck, E. Matthysen. 2003
1,399 citations recorded by the source corpus.
Subfields: Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/a457e2e1ee550183b195ce4b1848573eea87e1b3
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Samuel A. Cushman
- K. Zeller
- Marie-Josée Fortin
- K. McGarigal
- Santiago Saura
- Erin L. Landguth
- Andrew R Whiteley
- J. Brashares
In Nature and Landscape Conservation
- Samuel A. Cushman
- M. Baguette
- N. Schtickzelle
- H. Van Dyck
- K. McGarigal
- K. Zeller
- Dominik Poniatowski
- T. Fartmann
Citations in the corpus
- Why Did the Bear Cross the Road? Comparing the Performance of Multiple Resistance Surfaces and Connectivity Modeling Methods (2014, background): “For example, least cost path modeling identifies the single, lowest cost route through a landscape between two points [8].”
- The influences of landscape structure on butterfly distribution and movement: a review (2009, background): “Recent diffusion (Ovaskainen 2004) and GIS (Adriaensen et al. 2003) modelling approaches are also contributing to our understanding of the role of corridors. Sutcliffe et al. (2003) used least-cost modelling to compare Euclidean distance and least-cost pathways as explanatory variables in dispersal ”
- ISOLATION BY RESISTANCE (2006, positive): “The optimal route connecting each sample pair is then plotted, and a costweighted distance (the cumulative cost of all cells the route runs through) is used as an index of effective distance between them (Adriaensen et al. 2003).”
- Ecological connectivity research in urban areas (2015, methodology): “The second approach uses modelling techniques, such as least-cost path analysis (Adriaensen et al. 2003), circuit theory (McRae et al. 2008) and other graph theoretic models (Urban & Keitt 2001) to model functional connectivity via estimates of landscape ‘resistance’.”
- Biological corridors and connectivity (2013, background): “Corridor maps give a more realistic view of the functionally cheapest routes in the landscape from the designated source to the destination (Adriaensen et al. 2003) (Box 21.”
- Estimating utilization distributions from fitted step-selection functions (2017, background): “…to other areas in the landscape, SSFs could be used to identify likely movement corridors between populations (e.g., using least cost path [Adriaensen et al. 2003] or circuit theory [McRae et al. 2008]), or to derive effective costs separating populations that can be contrasted with…”
- Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data (2018, methodology): “Two of the most commonly used connectivity algorithms are CircuitScape (McRae, 2006) and cost distance- based approaches, such as the least- cost corridor (Adriaensen et al., 2003).”
- Targeting and evaluating biodiversity conservation action within fragmented landscapes: an approach based on generic focal species and least-cost networks (2010, methodology): “The permeability score of each matrix land cover type was used to define the effective or least-cost distance a species can potentially move through the matrix ( Adriaensen et al. 2003; Chardon et al. 2003; Sutcliffe et al. 2003).”
- 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.”
- Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal (2007, positive): “The cost of each landscape component reflects the degree to which that element facilitates or impedes dispersal movements for the studied organism (Adriaensen et al. 2003).”
- Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) (2006, positive): “The length of least-cost paths was then used as a measure of the functional connectivity between individuals within a population (Adriaensen et al. 2003).”
- Habitat suitability, corridors and dispersal barriers for large carnivores in Poland (2010, background): “Designing corridors for a species or group of species consists of at least two steps when based on computer models: the determination of friction or cost values associated with different habitat types, and the actual determination of routes that minimize the costs, the least cost paths (LCP, Schadt ”
- Estimating landscape resistance to movement: a review (2012, background): “Another approach is to evaluate the environment within a buffer around each animal detection or movement pathway, where the buffer encompasses the positional error of the data (Adriaensen et al. 2003; Braunisch et al. 2010).”
- Does matrix resistance influence Red squirrel (Sciurus vulgaris L. 1758) distribution in an urban landscape? (2003, background): “Least cost modelling seems a user-friendly tool to incorporate landscape effects into isolation measures, and also to compare and evaluate landscape scenarios land re-allotment, de-fragmentation projects, corridor design, ... see also Walker and Craighead 1997; Ricketts 2001; Adriaensen et al. 2003”
- Quantifying functional connectivity: Experimental evidence for patch-specific resistance in the Natterjack toad (Bufo calamita) (2004, methodology): “The other approach relies on the least-cost modelling procedure Adriaensen et al. 2003, which allows to calculate the ‘effective dispersal distance’, a distance modified according to the interaction between the landscape structure and the behaviour of the organism under study.”