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We found P. calleryana survival and establishment to be a function of seedling size, soil humic matter content, and sowing treatment.
This study used regression analysis to model the height increment of spruce understorey as a function of seedling height, site characteristics and canopy structure.
Height increment of understorey spruces increased as a function of seedling height (Figure 1).
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Simulated stands were subjected to browsing as a function of total seedling density.
A predictive map of seedling recruitment as a function of July maximum temperature, generated by applying the quasi-Poisson regression model to the 2-m gridded temperature dataset, shows a very smooth recruitment surface with moderately high predicted recruitment even in the upper elevation limits of the study area (Figure 7a).
First, to assess dispersal limitation in American beech, we analyzed seedling density as a function of adult conspecific abundance.
In addition, to address the possibility of dispersal limitation and the associated effects on spatial patterns, we analyzed seedling density as a function of adult conspecific abundance.
We examined these patterns at two spatial scales: a) subplot-level seedling counts as a function of conspecific basal area (BA) within 10 m of each subplot, and b) plot-level seedling counts (mean across all four subplots) as a function of the conspecific BA in the entire 23 m radius plot.
Our logistic regression model, therefore, predicted seedling survival as a function of population, acclimation and heat challenge.
These data further support a function of δOAT in storage mobilisation during early seedling development and in nitrogen recovery during senescence.
Each of these proteins was shown based on mutagenesis studies to have a function in the regulation of seedling growth in response to light.
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