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To limit the impact of environmental variation, trees selected for sampling were all situated together in a part of the trial that exhibited the highest survival (98% in 2007) and growth.
Because of low domestication, open-pollinated native populations and high levels of genetic variation, trees are ideal organisms to unveil the molecular basis of population adaptive divergence in nature and have gained much attention in recent years as non-classical model plants for environment adaptation, evolutionary and genomic studies [ 19].
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With these data, it was possible to separate out the small-scale variability of cores within a tree from the general variation between trees using variance component analysis.
A small subsample of variables (the mtry parameter in the RF literature) is used at each tree node split, inducing further variation among trees.
In our study, however, we analysed tissue samples of several branches per adult tree without finding any genetic variation within trees.
As such, we employed sensitivity analysis techniques to more generally investigate how variation in tree mortality and tree regeneration rates influence expectations of long-term carbon recovery.
Seasonal variation of trees and forests.
Genetic variation in trees works just like it does in other organisms.
Our results were constant over a small simulated sequencing depth, providing opportunities for the design of large-scale studies addressing the relationship between the genetic variation of trees and the variation of associated phyllosphere fungal assemblages.
Considerable variation among trees was observed, indicating a potential for genetic improvement.
The variation among trees suggests there is potential for genetic improvement.
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