Paleontological data point to a mosaic structure of landscapes, and suggest a temperate warm and humid climate in the south-western Baikal region during MIS 3 interval, with some regional deviations.
Preliminary analyses suggested a linear trend at a national level but not for the regional deviations (data not shown).
For the Scandes (n = 1203 plots), the indicator values were adjusted following Diekmann [45] to correct for regional deviations [46].
Future work may explore an intermediate approach based on estimating regional heterozygosity levels to paramaterize h for groups of markers; an examination of the biological mechanisms underlying these regional deviations from the global level of maintained heterozygosity is also merited.
Due to spatial heterogeneity of regional at-risk population sizes inherent in regional public health data, observed spatial similarity in regional deviations from the mean regional count may simply be due to variations in the regional at risk population size [ 36].
As shown in Table 5, Figures 7a,e, 8a, and 9a are all enhanced to the VO region by PNAE and SDRCLCE, but Figures 8a and 9a are not enhanced to the VO region by NDNE because the regional standard deviation D ¯ is more than 80.
The VO region approximately ranges from 40 to 80 for the mean of regional standard deviation and from 100 to 200 for the image mean.
Similarly, an increase in mean population size of the regions of 500,000 is associated with a 10% increase (on average) in regional standard deviation (Table 2, models 6 and 7).
In Table 2, the symbols Ī and σ ̄ denote the mean of image and the mean of regional standard deviation, respectively.
