In both study areas, landscape activities leading to a more extensive type of land use predominate.
A relative recruitment index also followed this pattern at both study areas.
Important areas for conservation were identified accounting of habitat transformation in both study areas.
Statistical results showed that the proposed method performs well to estimate soil heat flux for both study areas.
For both study areas, model-based inference was used to estimate the components necessary for constructing confidence intervals for population means for non-sampled areas.
The spatial variability in the distribution of landforms across the landscape in both study areas is mostly attributed to differences in lithological properties of the bedrock.
Roads reduced habitat effectiveness during all seasons at both study areas and changes in the potential habitat values ranged from 1.7%to16.9%9%.
During the late-season, in both study areas, roads had less influence on the potential population sizes as bears were able to access habitats away from roads.
The Ef (Nash Sutcliffe coefficient) and R2 of the SVR-RFFA model was about 0.7 when estimating flood quantiles of 10, 25, 50 and 100 year return periods which indicate satisfactory model performance in both study areas.
Speed, volume, and street connectivity were assessed using Geographic Information Systems GISS) for both study areas.
and sum of annual precipitation (prec). of both study areas Diepholz (a top) and Oder-Spree (b bottom).
