Modelling vegetation patterns using natural and anthropogenic influence factors: preliminary experience with a GIS based model applied to an Alpine area

摘要: A modelling approach based on discriminant analysis and the GIS (geographical information system) is presented with aim of identifying influence environmental parameters human impact Alpine cultural landscape. For testing model we used vegetation patterns an area 5 km2 between 1300 2300 m above sea level in Central Alps (Passeier Valley, Italy). The overall prediction for highly heterogeneous (a total 21 different units characterized by high biodiversity) order 78% (pixel to pixel correspondence), probability correct classification chance only 21%. Only two were totally misclassified, whereas six classified correctly at almost 100%, a further seven 60–80% remaining 20–50%. proportion unexplained variability research may some degree be attributed snow distribution pattern use more detailed scale spatial grazing habits. most important lack information, however, concerns land history. Simulation shows that elevation exert major vegetation, hydrological radiation do not greatly affect biodiversity study area.