'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia

Knowledge about spatial distribution of genetic diversity is very important for foresters in order to make right decisions during establishing of management plans for conservation, afforestation or reforestation. Advanced molecular technologies provide us with efficiently measured genetic information's which can be analyzed powerful statistical tools. Landscape Shape Interpolation analysis was applied on protein based marker data sets from six natural populations of Balkan beech. Results indicate existence of three genetically distinct groups: 1) Djerdap, Kopaonik, Zubin potok and Ivanjica; 2) Bor and 3) Pirot. These results were compared with results of UPGMA clustering of sampled population based on NEI original distances, Principal Coordinate Analysis and Monmonier's Maximum Difference Algorithm Analysis. Landscape Shape Interpolation analysis represent a powerful tool in spatial genetic diversity research. Combining of Landscape Shape Interpolation analysis results with digitalized maps of investigated area in some of numerous GIS applications will for certainly improve visualization of results and provide better understanding of causal factors of genetic diversity