<p>Plus/minus symbols at each arrow head show a positive/negative effect, and asterisks denote significance of each path: ***<0.001; **<0.01; *<0.05; ns = not significant. Dotted arrows show non-significant paths, and black arrows show variables which alter the strength of the relationship they feed into (i.e. interaction effects). Note that path coefficients are not directly comparable because of different scales of measurement of predictor variables (distance square root transformed; other variables untransformed) and different link functions for response variables (logit link for rat capture probability; identity link for other variables) used in models.</p
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Models relate plant community variables (diversity, quantity and quality), species richness and a...
Forty-five cohort-level comparisons assessed the impact of modelling and drug treatment on total dis...
<p><b>A</b>: model hypothesised in this study, in which distance from forest edge and grazing indire...
<p>Causal relationships between forest fragmentation, tree diversity, herbivore abundance, number of...
<p>Values were predicted separately for those patches that were grazed by livestock (grey lines) and...
<p>Numbers on paths between variables are standardized path coefficients (scaled by the standard dev...
<p>Arrows indicate the direct effect of one variable on another. Number of suitable breeding habitat...
Sixty cohort-level comparisons assessed the impact of modelling on total distance travelled in rats....
<p>The strength of the path coefficient is shown on the y-axis and number of observed interactions i...
<p>One-headed arrows depict causal relationships whereas two-headed arrows depict correlations. Posi...
<p>Treatment (exogenous) variables are shown in yellow boxes and have direct effects (single-headed ...
<p>Habitat variables percent contribution in the model (ALT = Altitude, SLP = Slope, DHS = Distance ...
<p>Columns indicate three consecutive steps to predict the final animal response. Graphs show the pr...
<p>Akaike weights of predictors for each response variable in the community level analyses (diversit...
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Models relate plant community variables (diversity, quantity and quality), species richness and a...
Forty-five cohort-level comparisons assessed the impact of modelling and drug treatment on total dis...
<p><b>A</b>: model hypothesised in this study, in which distance from forest edge and grazing indire...
<p>Causal relationships between forest fragmentation, tree diversity, herbivore abundance, number of...
<p>Values were predicted separately for those patches that were grazed by livestock (grey lines) and...
<p>Numbers on paths between variables are standardized path coefficients (scaled by the standard dev...
<p>Arrows indicate the direct effect of one variable on another. Number of suitable breeding habitat...
Sixty cohort-level comparisons assessed the impact of modelling on total distance travelled in rats....
<p>The strength of the path coefficient is shown on the y-axis and number of observed interactions i...
<p>One-headed arrows depict causal relationships whereas two-headed arrows depict correlations. Posi...
<p>Treatment (exogenous) variables are shown in yellow boxes and have direct effects (single-headed ...
<p>Habitat variables percent contribution in the model (ALT = Altitude, SLP = Slope, DHS = Distance ...
<p>Columns indicate three consecutive steps to predict the final animal response. Graphs show the pr...
<p>Akaike weights of predictors for each response variable in the community level analyses (diversit...
<p>These correspond to three boxes of the conceptual model highlighted as the Telephone Survey Fores...
<p>Models relate plant community variables (diversity, quantity and quality), species richness and a...
Forty-five cohort-level comparisons assessed the impact of modelling and drug treatment on total dis...