Knowledge of geographic and ecological pattern of rare and endangered species distribution is of essential importance for understanding human activities threatening biodiversity. This study aims to show how quantitative data for the abundance of rare plant species in a localized territory can be modeled successfully. Ordination and species distribution models (SDMs) combine field observation of species abundance data with environmental gradients, also measured on the field, to produce statistically tested for their accuracy, graphic (biplots, response surfaces, etc.) and numerical models which can then be used for conservation or management of rare plants. Species distribution modeling, shown in this study, can be successfully used for probability assessment for finding unknown populations of rare plants as well as guiding tool in their search, saving considerable resources and time.