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The goals of this study were to quantify the relationship between population density and climatic variables over Russia. A paired GIS-analysis of the population density layer (a dependent variable) on climatic layers of warmth and water resources and climate severity (independent variables) resulted in a multiple linear bioclimatic model of the population density in Russia. The model explained 38% of the population density variation by climate. We applied our population model to the extreme climate change scenario...

Human impact along with other elements of the environment has a great impact on the processes in the river basins. River meander dynamics and mobility are important indicators of environmental change related to climate changes and anthropogenic activities at local and river basin scales. This paper presents a study of spatial and temporal changes meandering Alazani (Georgia) in its middle stream and downstream. Alazani is the border of the country and the bank erosion here has the environmental and political impor...