Summary
The main goal of this thesis was to test the degree of three levels of integration and to find possible forms of integration of two Marxan and CZ-GLOBIO models with current and sufficiently detailed datasets. This was preceded by the application of both models on the territory of Beskydy MPA. First, it was tested whether both models can be applied simultaneously in one GIS interface and further from one initial dataset of the Detailed Combined Layer, which contains the spatial distribution of habitats. For the Marxan calculation, the area was divided into so-called planning units, i.e. a network of 122,023 regular hexagons with an edge of 62.04 m (1 hectar). 42 habitat types to be protected (defined by the user) were spatially distributed into it. The CLUZ plugin (for QGIS) was used at this stage of input file preparation. The calculation of the Marxan model was carried out for three basic scenarios that differ in the required percentage of protected elements. As part of the advanced processing, several additional calculations for each scenario were modified by changing the values of the input parameters. Furthermore, CZ-GLOBIO model was applied in ArcGIS Pro. The implementation of the model consisted in calculating the MSA values of the partial driving forces that result in the reduction of habitat naturalness. From the MSA values of the partial driving forces, the resulting MSA index was then calculated, which is an indicator of the resulting state of habitat degradation. Another output of the work is a tool developed in the ModelBuilder environment to (semi-)automate the process of calculating the values of the individual MSA indices. During the testing it was confirmed that the MSA values of the sub-drivers and the resulting index can be calculated in both ArcGIS Pro and QGIS environments. As a part of the third level of integration, three sub-workflows were designed and tested in which the models use each other's sub-outputs to calibrate and augment the input information. The calculated values of the resulting index and driving force, registering the disturbance of naturalness in terms of land fragmentation, entered further as modifiers of the Cost attribute values (indicating the amount of cost values) in the Planning Units layer. The integration revealed a significant improvement in the resulting designs through Marxan analysis. Furthermore, statistical reference tables were constructed that include the results of the data from the applications of both models.