Our second objective was to use the relationships to develop a structural equation model (SEM) to quantify the strength of pathways among the canopy, sapling, and ground-flora vegetation layers and environmental factors (e.g., soil chemistry and physiographic position).
This would also be much more probabilistic and complex varying by the relative strength of pathways originating within those outside areas and might explain why the correlation was also lower in the sink compared to the source measure for all subjects.
Visual inspection confirms the preceding assertion that differences in areal connectivity patterns are mainly in the strength of pathways common to all areas rather than in the presence versus absence of connections.
For each tissue, the average ranking of all unigenes from a biosynthetic pathway represented the relative expression strength of that pathway.
Then, the rankings of all genes within a particular pathway were averaged for each tissue to score the overall "strength" of the pathway in the tissue.
Multivariate analyses evaluated the predictive strength of reforestation pathway, management history, and site characteristics relative to aboveground carbon pools and stand structural complexity.
Also the input strength of each pathway can be independently varied.
The extreme pathway analysis is used to calculate the possible metabolic pathways in a given organism; the real-time PCR data are used as constraints to identify the strength of the pathway fluxes under influence of MB.
As one example, skewing the signaling strength of one pathway (either up or down) over a long timespan is likely to be deleterious for cells and tissues, potentially leading to more cellular dysregulation or oncogenic progression [ 18].
