International Scholarly Research Notices / 2011 / Article / Tab 5

Research Article

Determination of Alterations in Forest Condition Using Various Measures of Land Use Change along an Urban-Rural Gradient in the West Georgia Piedmont, USA

Table 5

Independent versus dependent variable correlations for lichen prediction models1.

Model 1Model 2

Dependent variable: percentage of trees with lichens Dependent variable: number of lichen species per tree
Independent variables:RhoPIndependent variables:RhoP
% Peak canopy cover0.55.07Plot distance to any road (m)0.57.05
Plot distance to any road (m)0.34.28% Pasture0.55.06
Mean upper canopy height (m)−0.64.03% Peak canopy cover0.55.07
Basal area (m2/ha)−0.53.08% Forest0.46.13
Housing density−0.48.11Housing density-0.61.03
Mean dbh (cm) of all mature trees−0.20.53Mean subcanopy height (m)−0.47.12
Forest edge density−0.27.40Forest edge density−0.35.26
% Insect + Disease + Mech damage for all trees−0.35.27% Urban + Bareground−0.39.20
Basal area (m2/ha)−0.45.14
Mean dbh (cm) of all mature trees−0.42.17

1Correlation coefficients (Rho) and P-values ( 𝑃 = P r o b > | R h o | ) derived using Spearman’s Rank multivariate correlation matrix.

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