A raster-based technique for analysing habitat configuration: The cost–benefit approach

Spatial neighborhood effect and scale issues in the calibration and validation of a dynamic model of Phragmites australis distribution – A cellular automata and machine learning approach

“…The experimental potential of CA models makes them useful tools for both studying mechanisms causing the spread of species and for evaluating the different scenarios of planning and management (Barredo et al, 2003;Richardson et al, 2010). Finally, the representation of space in CA as a lattice grants the CA a number of advantages, such as the possibility for the multiple scale investigation of phenomena, computational efficiency, and compatibility with the GIS raster format (Itami, 1994;Drielsma et al, 2007). However, the usefulness of CA depends on their ability to characterize a process, which in turn depends on the definition of the CA transition rules and on the CA scale settings.…”

A rapid ecological network assessment tool and its use in locating habitat extension areas in a changing landscape

“…This allowed a specific land cover map to be developed for each ecoprofile. A least cost path algorithm was then used to determine the existing extent of the functional ecological network for each ecoprofile (Adriaensen et al 2003;Drielsma et al 2007;Watts et al 2005). Ecological networks were defined as areas where a large proportion of the population could be retained over a substantial period of time.…”

Filling evidence gaps with expert opinion: The use of Delphi analysis in least-cost modelling of functional connectivity

“…Least-cost approaches have been widely used to calculate functional connectivity between patches (Adriaensen et al, 2003;Drielsma, Ferrier, & Manion, 2007;Ray, Lehmann, & Joly, 2002;Watts et al, 2010). For example, a species may move half as far through a landscape with a permeability value of 10 as one with a value of 5, and only a tenth of the distance possible in a landscape matrix with a value of 1.…”