In the first three experiments, introductions were conducted in the summer, between March and April 2007 and again in July 2008, on three different and widely separated trees.
Statistical estimates of the AP/NAP and TS/HS cut-off values separating tree- and herb-prevalent landscapes are computed.
Even medium resolution LANDSAT MSS and TM imagery are in many cases too coarse to detect scattered trees in hyper-arid areas or to separate trees from ephemeral plant cover [22].
Relative rates tests were applied to every terminal branch in the gene tree, after separating the tree into 26 different subclades.
Nesting, feeding and carousing in thickly carved leaves and foliage painted in earth tones, they are topped by a mother owl who peers down from the top of the wall at a separate tree trunk housing her mate and offspring.
Next, the force for each sink position is computed using a separate tree walk starting with the root cell.
To overcome these drawbacks, we have designed generalized decision trees, which can be trained using a medium-size corpus over groups of similar words to share information on pronunciation, instead of training a separate tree for every single word.
The experiment was duplicated for testing different solvent extracts but only a single extraction was possible due to the small sample size when assessing the variability of the extracts in 21 separate tree samples.
For HA sequences, trees were constructed for each HA-NA subtype, e.g. a separate tree was constructed for HA sequences from H5N1 viruses and from H5N2 viruses.
Finally, we conducted a Random Forest decision tree analysis using the R package randomForest, which perturbs or bootstraps data many times (10,000 in this case) and constructs a separate tree for each perturbation.
