Managerial and environmental information are of vital importance in distribution of plant species and such information are used through models to determine the occurrence of plant species. The present study aims to investigate environmental parameters affecting Ferula gabrielli distribution and then to modelling spatial distribution of the species using Support Vector Machine and Bayesian Belief Networks models. Data on presence and absence of the study species was collected randomly using dir=rtl Managerial and environmental information are of vital importance in distribution of plant species and such information are used through models to determine the occurrence of plant species. The present study aims to investigate environmental parameters affecting Ferula gabrielli distribution and then to modelling spatial distribution of the species using Support Vector Machine and Bayesian Belief Networks models. Data on presence and absence of the study species was collected randomly using dir=rtl
