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Dispersion models, run for hourly time intervals and controlled by measurements, are therefore used to provide estimates for specific receptor points.
We considered a specific regression model (whether simple or multiple) as the most adequate one if its AIC was at least 7 points lower than that of the other models run for a given community indicator and landscape gradient.
Separate models run for parents and adolescents.
Model output for each of the 17 models run for each tree species.
If a significant interaction was found, stratified analyses were conducted, with separate models run for youth ages 11 13 and 14 16 years.
Additional covariates were not included in models given the absence of significance, nor were separate models run for the three clinical pregnancy losses.
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The Markov models ran for a time horizon of 40 years, and each of the model cycles represented 1 year.
In the supplemental materials available online, we display a realization of the simulation model, run for 6 years on the same tree spatial distribution (Video S1).
(PDF 346 kb) Additional file 2: Model run for Kuopio.
(PDF 878 kb) Additional file 3: Model run for Basel.
Phylogenetic trees were constructed using MrBayes 3.1 (Ronquist and Huelsenbeck 2003) with the GTR + I + Γ model, run for 1 3 million generations.
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