Correlation relations between paleolandscapes components of the south of Priyeniseyskaya Siberia in the Holocene

The research objective is the creation of correlation rela-tions between climatic data and indicators of organic sub-stance paleosols in the territory of the south of Priyeniseyskaya Siberia in the Holocene. The objects of the research are geological cuts of Holocene deposits with the horizons of paleosols which are a part of "Evolutions of Envi-ronment of the Holocene of Siberia" database, located in the territory of the south of Priyeniseyskaya Siberia in a forest-steppe natural zone. The assessment of correlation commu-nications between the indicators is executed using correlation, factorial and regression analysis. The model of correlation of climatic indicators and humus (its group and fractional struc-ture) paleosols in modern warming (Holocene) in the territory of the south of Priyeniseyskaya Siberia shows the range of climate fluctuation. Each climatic period of the Holocene of the south of Priyeniseyskaya Siberia, as well as all northern hemisphere of the Earth, is characterized by individual biocli-matic situation of nature. The landscape is uniform natural system having difficult interaction of its components in a cer-tain territory of terrestrial surface. The soil is key component of landscape as many processes, having solving values, pre-sent in the soil. The landscapes of geological past of the Earth, studied by the methods of paleoecological and paleogeographic analysis are called paleolandscapes. The Holocene is modern warming lasting 10-12 thousand years. In paleosols it is difficult to overestimate the value of organic substance for such diagnostics as soil formation. Humic sub-stances are difficult organic compounds formed of organic substance under the influence of environment conditions. Some properties of humus are poor subject to secondary changes. The group structure of humus treats such proper-ties. Thus in the territory of the south of Priyeniseyskaya Sibe-ria the ratio Cha : Cfa depends both on temperature indicators and on the indicators of rainfall. Natural warming connected with the cycle of increase in the indicators of temperature in the last decades is significant.