Modern vegetation mapping of the boreal forest biome of Eastern European Russia

1 Lomonosov Moscow State University, Moscow, Russia
2 Centre for Forest Ecology and Production, Moscow, Russia
3 Institute of geography RAS, Moscow, Russia

Display of the regularities of spatial vegetation heterogeneity to review vegetation maps is fundamental. Mapping algorithm for modeling of the Eastern boreal forest is provided. This schema includes the use of terrestrial studies to obtain mediumscale regional vegetation maps. Results of the regional assessment of diversity and state vegetation are used to display the structure of vegetation to small-scale map of boreal forests. It is discussed the principles of classification of the boreal forests for the vegetation map modeling. To create the spatial vegetation model in discrete categories (classes, types) must be coordinated allocation of these categories for the various taiga regions. For the vast territory it is necessary to attract the large volume of the field measurements that is a limitation to the use of expert methods of selecting discrete classes. The use of numerical methods enables to carry out the joint analysis of large data sets, allowing you to supplement the methods expertise and objectivity. As a result of the quantitative analysis of specific units reserved at each stage of the study should be corrected using expert classification approach (ecologic-morphological, ecological and dynamic or floristic) based on the hierarchical levels of classifications. Classification levels have to be agreed upon with the biogeographic and ecological subdivisions of the biosphere. The classification units should be sufficiently “physiognomic” for automated interpolating data, which is based on informative sources, such as multispectral remote sensing (REMOTE SENSING), digital elevation models (DEM), climatic characteristics etc. It is necessary to compare the results of spatial vegetation modeling, with the classification units for the creation of vegetation map of circumboreal forests.

© 2012 Organizing Committee