This paper is about the development and the application of an ESRI ArcGIS tool which
implements multi-layer, feed-forward artificial neural network (ANN) to study the
climate envelope of species. The supervised learning is achieved by backpropagation
algorithm. Based on the distribution and the grids of the climate (and edaphic data)
of the reference and future periods the tool predicts the future potential distribution
of the studied species. The trained network can be saved and loaded. A modeling result
based on the distribution of European larch (Larix decidua Mill.) is presented as
a case study.