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The higher nutrient content of summergreen leaves is supported by the negative relationship between PC3 and the amount of nitrogen in biomass in the minimal adequate regression.
Short lived leaves also have traits associated with more rapid decomposition rates (e.g. high nutrient content, [27]), which would explain the influence of PC3 on litter decomposition in the minimal adequate regression.
a, intercept; b, slope of curve; ET50 and ET90, median and 90%, respectively, effective time of the minimal adequate regression model fitted to the experimental hut data; CI, confidence interval; PM, pirimiphos methyl; DEET, diethyl-3-methylbenzamide; KBR, hydroxyethyl isobutyl piperidine carboxylate; Kothrin, 20% deltamethrin (Bayer Crop Science, Monheim am Rhein, Germany).
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A school-level minimal adequate logistic regression model was developed by the backward stepwise method, whereby variables with P > 0.05 were removed in the order of least significance; all excluded variables were subsequently retested in the final model.
For each response variable (ecosystem process), we performed multiple regressions and we then selected the minimal adequate model.
For each ecosystem process, we performed a multiple regression including the 8 indices as predictive variables with a backward procedure to select the minimal adequate model (Table 2).
The minimal adequate model was selected as the one containing nothing but significant variables.
Although per-capita GDP was retained in our minimal adequate model, two points are worth mentioning.
The numerical output of the minimal adequate model was obtained using REML estimation [42].
The numerical output of the minimal adequate model was obtained using REML estimation (Appendix S1) [42].
We used backward selection to obtain the minimal adequate model with a selection criterion of α = 0.05.
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