Linear mixed regression results showing the relative impact of forestry treatment, hydroperiod, and study year on size, body condition, and total annual biomass of breeding spotted salamanders and wood frogs.
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https://figshare.com/articles/dataset/_Linear_mixed_regression_results_showing_the_relative_impact_of_forestry_treatment_hydroperiod_and_study_year_on_size_body_condition_and_total_annual_biomass_of_breeding_spotted_salamanders_and_wood_frogs_/1611027
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a SVL = snout-vent length; SUL = snout-urodyle length.b Body condition index. BCI > 0 indicates better body condition than BCI c All models included the following predictors: treatment, mean pool hydroperiod, standard deviation of pool hydroperiod, a treatmentXyear interaction, and a treatmentXmean.hydro interaction. Based on an a priori decision, we dropped the treatmentXmean.hydro interaction from the model if the interaction was not significant. Only significant fixed-effect results are shown.d Categorical variable, coded 0 = reference treatment and 1 = 30m treatment.e Dummy variable representing the marginal impact of the 30m treatment over the six study years.f Dummy variable representing the difference between the reference treatment and the two cut treatments, over the six study years.g Mean pool hydroperiod in days.h Standard deviation of pool hydroperiod in days.i Categorical variable, coded 0 = reference treatment and 1 = 100m treatment.j We used F tests to assess overall significance of each variable. We provide results just once for each categorical variable.k None of the independent variables were significant predictors of female new-capture wood frog body condition.l We used t tests to compare between individual levels of categorical predictors.*** p ** p * p • 0.05 ≤ p Linear mixed regression results showing the relative impact of forestry treatment, hydroperiod, and study year on size, body condition, and total annual biomass of breeding spotted salamanders and wood frogs.
创建时间:
2015-12-03



