<p>Note: Model rankings are based on Akaike’s Information Criterion (AIC).</p>a<p>Covariates used to model detection probability were Block (B), Substrate (sandy streambeds, roads and trails) and Effort. ‘.’ denotes that was held constant instead of being allowed to vary as a function of any covariate.</p>b<p>In all models the probability of occupancy () was modelled on ‘B × Hab’ and segment level occupancy parameters ( and ) were modelled on ‘B’ (Block). ‘+’ denotes covariates were modelled additively.</p
<p>The relationship between the parameter of interest and the covariate is assumed to be linear (on ...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...
<p>Note: Model rankings are based on Akaike’s Information Criterion (AIC).</p>a<p>Covariates used to...
Description of covariates used to model variation in ρ (detectability) and ψ (occupancy).</p
<p>Models incorporating habitat, weather, temporal and species covariates of the detection function ...
<p>K = number of parameters used.</p><p>Delta AICc = difference between lowest AICc model and model ...
<p>Description of covariates used to model variation in detectability and <i>ψ</i> across sites.</p
<p>Slope coefficient, model-averaged slope coefficient point estimate; SE, unconditional standard er...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>Covariate coefficients of detection probability for 11 guilds as estimated through single-season ...
<p>The top panel gives detection probability curves for the set of covariates that maximize observer...
<p>Models were ranked and weighted within covariate categories by QAICc. Model structure: S (4 age c...
<p>The fitted logistic models (black lines) as well as their standard errors (dashed lines) were sho...
<p>QAICc, quasi-AICc (AICc, Akaike information criterion corrected for sample size); ΔQAICc, differe...
<p>The relationship between the parameter of interest and the covariate is assumed to be linear (on ...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...
<p>Note: Model rankings are based on Akaike’s Information Criterion (AIC).</p>a<p>Covariates used to...
Description of covariates used to model variation in ρ (detectability) and ψ (occupancy).</p
<p>Models incorporating habitat, weather, temporal and species covariates of the detection function ...
<p>K = number of parameters used.</p><p>Delta AICc = difference between lowest AICc model and model ...
<p>Description of covariates used to model variation in detectability and <i>ψ</i> across sites.</p
<p>Slope coefficient, model-averaged slope coefficient point estimate; SE, unconditional standard er...
<p>The <i>X</i> axis is the value of the covariate effect on the count data <i>γ</i><sub>1</sub> and...
<p>Covariate coefficients of detection probability for 11 guilds as estimated through single-season ...
<p>The top panel gives detection probability curves for the set of covariates that maximize observer...
<p>Models were ranked and weighted within covariate categories by QAICc. Model structure: S (4 age c...
<p>The fitted logistic models (black lines) as well as their standard errors (dashed lines) were sho...
<p>QAICc, quasi-AICc (AICc, Akaike information criterion corrected for sample size); ΔQAICc, differe...
<p>The relationship between the parameter of interest and the covariate is assumed to be linear (on ...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...
Occupancy models are a vital tool for ecologists studying the patterns and drivers of species occurr...