<p>Significant determination coefficients (<i>R</i><sup>2</sup>) are indicated (i.e., p<0.05).</p
<p>Results for the regression model relating the abundance of yellow perch larvae to environmental v...
<p>P indicates the significance of these contributions, determined from permutation tests. Significa...
<p>Regression coefficients for predicting the presence of lichens on the basis of forest age.</p
Bold values indicate the two most important variables (i.e., with the higher coefficient values) for...
<p>Coefficients of determination (R<sup>2</sup> values) for species-crop-specific multiple regressio...
Regression analysis of habitat complexity values across all three taxa within NPs.</p
<p>Estimated regression coefficients (with standard errors) in the fitted relationship between abund...
Description of the habitat and anthropogenic variables used as predictors in the analysis.</p
Significant regression coefficients of trend-surface analysis, and coefficients of determination (r2...
<p>Bold lettering denotes partial correlations significant at <i>P</i> < 0.05. Only the first two ph...
<p>The estimates of logistic regression coefficients are on the logit scale and all terms are signif...
<p>The line indicates a significant linear regression (P<0.01, R<sup>2</sup>=47.9).</p
<p>Regression equations for predicting species richness (<i>y</i>) based on generic richness (GR) on...
<p>Regressions of initial size, density, number germinated and density and size after 20 and 6 days ...
<p>Ordinary-least-squares (OLS) multiple linear regression models were run for feliform species rich...
<p>Results for the regression model relating the abundance of yellow perch larvae to environmental v...
<p>P indicates the significance of these contributions, determined from permutation tests. Significa...
<p>Regression coefficients for predicting the presence of lichens on the basis of forest age.</p
Bold values indicate the two most important variables (i.e., with the higher coefficient values) for...
<p>Coefficients of determination (R<sup>2</sup> values) for species-crop-specific multiple regressio...
Regression analysis of habitat complexity values across all three taxa within NPs.</p
<p>Estimated regression coefficients (with standard errors) in the fitted relationship between abund...
Description of the habitat and anthropogenic variables used as predictors in the analysis.</p
Significant regression coefficients of trend-surface analysis, and coefficients of determination (r2...
<p>Bold lettering denotes partial correlations significant at <i>P</i> < 0.05. Only the first two ph...
<p>The estimates of logistic regression coefficients are on the logit scale and all terms are signif...
<p>The line indicates a significant linear regression (P<0.01, R<sup>2</sup>=47.9).</p
<p>Regression equations for predicting species richness (<i>y</i>) based on generic richness (GR) on...
<p>Regressions of initial size, density, number germinated and density and size after 20 and 6 days ...
<p>Ordinary-least-squares (OLS) multiple linear regression models were run for feliform species rich...
<p>Results for the regression model relating the abundance of yellow perch larvae to environmental v...
<p>P indicates the significance of these contributions, determined from permutation tests. Significa...
<p>Regression coefficients for predicting the presence of lichens on the basis of forest age.</p
DOI
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