The purpose of this diploma thesis is to introduce a basic summary of landscape connectivity calculations mainly focusing on the Conefor program and the effect of input parameters on output landscape connectivity indices. One of the main goals is to create an ArcMap Toolbox to simplify the calculation of landscape connectivity indices for many areas of interest. Basic squares that cover the whole Czech Republic were chosen as main areas of interest. These units are used for example for mapping the abundance of flora and fauna. The same indices were calculated for NUTS3 and LAU1 areas in order to compare effect of size of input areas. This thesis provides a simple solution in the form of a Python Toolbox for Esri ArcMap to calculate overall indices of landscape connectivity through a Conefor command line application for a large number of input areas. Forest connectivity for different dispersal distances and input areas of interest was calculated with this Toolbox. As an input vector layer of forests, CORINE land cover data from mapping period 1990, 2000, 2006 and 2012 were used. Input dispersal distances were chosen in the range from 50 to 50.000 meters in order to comprehensively describe their effects on indices. Resultant forest and connectivity changes are represented by cartograms; the effect of input data on output indices is shown in graphs.

The thesis deals with analysis of connectivity of a territorial system of landscape ecological stability in the Hradec Králové region. This area is also famous for its typical agricultural production. The calculations done in software Conefor were counted for three groups of animals with different dispersal possibilities. It was made in several phases. At first, the connectivity of all biocentres was counted then the connectivity without nonfunctional biocentres. In the next step was counted connectivity for three categories of biotopes and the same calculations were made for newly proposed biocentres. The results from software Conefor show that the indicies are not so clear. Also the rate of connectivity in the study area is questionable.