<p>Models are ranked in order of increasing AIC values (Akaike’s information criterion). L denotes likelihood. ΔAIC is the difference between the indicated model and the best model (the model with lowest AIC). Unsupported models (ΔAIC > 4) are not shown. Marginal R<sup>2</sup> represents the amount of variance explained by fixed effects alone, while conditional R<sup>2</sup> represents the amount of variance explained by fixed and random effects in combination.</p><p>Relative support for models of pika stress (GCM concentration) in the Green Lakes Valley Watershed.</p
<p>The models were backward-selected to the minimum Akaike Information Criterion (AIC).</p
<p>AIC of tested models (<i>coh</i> = cohort, <i>D</i> = density of fish in the first year of life)....
<p>Number of crawling individuals (per 0.25×0.25 m quadrat) was log transformed to improve normality...
<p>Definitions are as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.01193...
<p>Akaike weights were calculated across all possible linear mixed models of data from both study si...
<p>Pe: probability of extinction, Pc: probability of colonization, RO.1: RO at river section scale, ...
<p>Models were based on Akaike’s Information Criterion corrected for small sample size (AIC<sub><i>c...
<p>Models within 4 ΔAIC<sub><b><i>c</i></b></sub> units of the top model are shown. Model weights (<...
Comparison of variable weights, average Akaike weight per model, number of models in which the varia...
<p>Parameters are shown in the order of importance, derived from the stepwise selection. In addition...
a<p>For GLM the respective best-fit polynomial order refers to a test against no relationship and wi...
Gaussian optima are marked as to whether they are lower than the minimum (-) or higher than the maxi...
<p>Only the top five models with Akaike weight (<i>w<sub>i</sub></i>) and R<sup>2</sup> values are s...
*<p>Note: Standard errors in brackets and top-ranked models are shown, wi is the AIC model weight <b...
<p>For each response variable (fish metric), the table provides the cumulative Akaike weight (Σ<i>wi...
<p>The models were backward-selected to the minimum Akaike Information Criterion (AIC).</p
<p>AIC of tested models (<i>coh</i> = cohort, <i>D</i> = density of fish in the first year of life)....
<p>Number of crawling individuals (per 0.25×0.25 m quadrat) was log transformed to improve normality...
<p>Definitions are as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.01193...
<p>Akaike weights were calculated across all possible linear mixed models of data from both study si...
<p>Pe: probability of extinction, Pc: probability of colonization, RO.1: RO at river section scale, ...
<p>Models were based on Akaike’s Information Criterion corrected for small sample size (AIC<sub><i>c...
<p>Models within 4 ΔAIC<sub><b><i>c</i></b></sub> units of the top model are shown. Model weights (<...
Comparison of variable weights, average Akaike weight per model, number of models in which the varia...
<p>Parameters are shown in the order of importance, derived from the stepwise selection. In addition...
a<p>For GLM the respective best-fit polynomial order refers to a test against no relationship and wi...
Gaussian optima are marked as to whether they are lower than the minimum (-) or higher than the maxi...
<p>Only the top five models with Akaike weight (<i>w<sub>i</sub></i>) and R<sup>2</sup> values are s...
*<p>Note: Standard errors in brackets and top-ranked models are shown, wi is the AIC model weight <b...
<p>For each response variable (fish metric), the table provides the cumulative Akaike weight (Σ<i>wi...
<p>The models were backward-selected to the minimum Akaike Information Criterion (AIC).</p
<p>AIC of tested models (<i>coh</i> = cohort, <i>D</i> = density of fish in the first year of life)....
<p>Number of crawling individuals (per 0.25×0.25 m quadrat) was log transformed to improve normality...