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As predictors, we only considered the species richness of the respective trophic level, as well as environmental predictors and general plot characteristics (stand age, tree density) as covariables.
We surveyed 71 forest patches that varied in tree age, tree species composition, structure and field layer, as described by ordinary forest stand data.
We used a 420-year forest chronosequence as a case study to assess the relationship between stand age, tree canopy cover and understory vascular plant richness and composition in the Siskiyou Mountains of Oregon.
Across the New England landscape, our data show that forest age, tree height, and biomass all have significant relationships with species diversity (Table 2 and Fig. 5).
Forest inventory data such as stand age, tree species and site index can be used as input data for the stand growth model presented in a previous study (Nakajima et al. 2011a).
To address that issue, he and his colleagues analyzed the numbers of pandas in different habitats, examining the influence of forest type and age, tree diameter, bamboo availability, and numerous other variables.
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The shelterbelts differed in age, trees species composition and soil organic carbon content.
The presence of reproductive age trees at the treeline, mainly growing on debris-rich and steep slope sites, could indicate that the recruitment process will increase in future, leading to patchy tree patterns at different elevations.
Stand attributes such as age, trees per hectare, mean diameter and height, dominant height, volume per hectare, form factor, annual increment per hectare and growth have also been estimated from individual plot data for some time.
with y i being mean annual density of individual trees on the ith aspect, TRW - tree- ring width and CA - cambial age (tree-ring age counted from the pith).
The high sample size coupled with the long time series, offers an indication of the effect of tree-ring age, tree-ring width and local climate on wood density of European beech, and highlights as well the high variability between individual trees.
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