Journal
LANDSCAPE ECOLOGY
Volume 15, Issue 7, Pages 661-678Publisher
KLUWER ACADEMIC PUBL
DOI: 10.1023/A:1008107902848
Keywords
landscape models; landscape patterns; percolation; spatial patterns; stochastic spatial simulation; thematic and categorical maps
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A new modified random clusters method for the simulation of landscape the matic spatial patterns is presented. It produces more realistic and general results than landscape models that have been commonly used to date in the field of landscape ecology. Simulated patterns are said to be realistic, apart from their patchy and irregular appearance, because the values of the spatial indices as a function of habitat abundance measured in real landscape patterns (number of patches, edge length and patch cohesion index) can be replicated with the proposed landscape model. It allows a wide range of spatial patterns to be obtained, in which fragmentation and habitat abundance can be systematically and independently varied. Furthermore, a degree of control over the irregularity of the shapes of the simulated landscapes can be achieved, and it is also possible to simulate patterns with anisotropy. The proposed method is easy to implement and requires little computation time, which enhances the practical possibilities of this method in different areas of landscape ecology.
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