<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AIC and the AIC best model (AIC<sub>min</sub>), (ω<sub>i</sub>) = AIC weight, r<sup>2</sup> = regression coefficient, σ<sup>2</sup> = model residual variance.</p><p>Model parameters for model without a climate variable: intercept only Δ<sub>I</sub> = 11.61, σ<sup>2</sup> = 0.84.</p><p>Summary statistics from linear models retained in the confidence set (evidence ratio >0.13) for log number of young (36–43mm) and climate variables (July-September).</p
<p><i>TSS</i>-true skill statistic and <i>AUC</i>-the area under the receiver operating characterist...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Variables, number of parameters in the model (K), Akaike’s Information Criterion adjusted for sma...
<p>Symbols: AIC = Akaike information criteria, AICc = The second order information criterion, small ...
<p>Significant parameters (p<0.05) are indicated with an asterisk (*).</p>†<p>Synchronous model.</p>...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
<p>Every variable introduced in the models is listed, but only the estimates for the variables inclu...
<p>Model weights shown here are re-normalized for the set of 37 top-ranked models shown. a = commerc...
Fixed parameter values used, and estimates (95% confidence intervals) from population dynamic model ...
<p>Model coefficients are shown with corresponding 95% confidence limits (CL).</p><p>Summary of simp...
<p><i>TSS</i>-true skill statistic and <i>AUC</i>-the area under the receiver operating characterist...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p><i>K</i> = number of model parameters, AICc = corrected AIC, Δ<sub>i</sub> difference in model AI...
<p>Variables, number of parameters in the model (K), Akaike’s Information Criterion adjusted for sma...
<p>Symbols: AIC = Akaike information criteria, AICc = The second order information criterion, small ...
<p>Significant parameters (p<0.05) are indicated with an asterisk (*).</p>†<p>Synchronous model.</p>...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...
<p>Every variable introduced in the models is listed, but only the estimates for the variables inclu...
<p>Model weights shown here are re-normalized for the set of 37 top-ranked models shown. a = commerc...
Fixed parameter values used, and estimates (95% confidence intervals) from population dynamic model ...
<p>Model coefficients are shown with corresponding 95% confidence limits (CL).</p><p>Summary of simp...
<p><i>TSS</i>-true skill statistic and <i>AUC</i>-the area under the receiver operating characterist...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Likelihood and AIC scores for each model for each subfamily for each climatic variable (MAT = mean a...