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. 2013 Nov 26;113(3):489–500. doi: 10.1093/aob/mct272

Table 3.

Model selection statistics for the analysis of the effects of GDD>0°C during the year before sampling, nitrogen deposition, their interaction the, bedrock type, cone density, shrub height and needle loss on the ripening time of the seeds

Intercept Growing degree-days (GDD) year before sampling Nitrogen deposition GDD:ND Bedrock type Infection rate with M. bipunctatus Cone density Shrub height Needle loss d.f. ΔAICc Weight
6·18 –2·29 × 10−3 –0·553 1·06 × 10−4 + 15·8 + + + 15 0 0·22
2·14 –1·20 × 10−3 –0·156 + 17·5 + + + 14 0·11 0·21
3·17 –1·47 × 10−3 –0·132 23·0 + + + 13 1·08 0·13
8·24 –2·69 × 10−3 –0·714 1·43 × 10−4 + + + + 14 1·15 0·13
7·27 –2·56 × 10−3 –0·518 1·03 × 10−4 20·0 + + + 14 1·22 0·12
–1·91 –0·188 + 19·6 + + + 13 1·64 0·10
2·84 –1·21 × 10−3 –0·184 + + + + 13 2·67 0·06
–1·15 –0·218 + + + + 12 3·99 0·03
Importance 0·87 1 0·47 1 0·78 1 1 1

+, a factorial variable is included in the model.

ΔAICc, difference in values of the corrected Akaike Information Criterion between a model and the best model; weight, Akaike weight indicating the relative support for the model; importance, the relative importance of the explanatory variables based on the sum of the Akaike weights of the models in which the variables appear.