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This high amount of variation is probably the result of the relatively intact frequent surface fire regime and because no harvesting has occurred in the sampled area.
Fatigue failure is caused by high value of maximum tensile strength, high amount of variation in applied stress, attachment of corrosion welds, improper flexibility, improper heat treatment, contouring of welds, large number of cycles of applied stress and cold-bend restriction to thermal expansion [55].
Our results show that a high amount of variation can only be explained by the combined effect of two (or more) factors.
In this scenario, mutational processes have simply not had enough time to generate the high amount of variation observed in other chimpanzee populations.
This would be reflected by the existence of one or a few axes that explain a high amount of variation followed by a 'distinct' drop in explanatory power in subsequent PCs.
As expected, a high amount of variation was explained by the combined effect of hosts-soil, hosts-topoclimate and soil-topoclimate, since there is a close relationship between each pair of factors, such as the NDVI linking topoclimate and soil.
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Partitioning complex factors (topoclimate and hosts) into their components (topography/climate and wild/domestic hosts, respectively) demonstrated that within topoclimate the highest amount of variation was explained exclusively by climate (Figure 4b), whereas wild ungulates explained a higher variation than livestock within host factors (Figure 4c).
A higher amount of variation exists especially for the most abundant genera between the two datasets: Both datasets support Methanoculleus as the most abundant genus, but a higher fraction of GS FLX reads was assigned to this genus than from the Titanium reads (4.36% of the GS FLX dataset; 3.46% of the Titanium data).
The PCs are named so that the PC explaining the highest amount of variation is called PC1, the PC explaining the next highest amount of variation PC2 etc.
With the exception of the 1971 SO2 model, trend surface explained the highest amount of variation in monitored concentrations.
The PCs are not correlated with one another and the first PC accounts for the maximum amount of variation in the sample, PC2 accounts for the next highest amount of variation, with each subsequent PC accounting for the next highest amount of variation.
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