| The aim of this study was to model landscape change in a nature conservation area located in the Atlantic Forest within São Paulo State, Brazil, called Carlos Botelho State Park ? CBSP, and also in its surroundings, both currently under anthropogenic pressure. A cellular automata stochastic simulation platform - Dinamica EGO ? was used, which embodies neighborhood-based transition algorithms and the weights of evidence method as a parameterization approach. Water bodies, forest, agriculture, and forestry (eucalyptus) were considered as land cover categories in this model. Variables like distance to roads and distance to existent types of land cover in the area were crucial to explain the observed landscape changes. The prevailing conversion of... |
