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. 2018 Oct 9;11(10):2004–2013. doi: 10.1111/eva.12702

Table 1.

Candidate models ordered accordingly to their Akaike weights

Models K AICc ΔAICc wi
1 Null model 2 130.17 0 0.220
2 CTMin_10 3 131.40 1.23 0.119
3 MB 3 131.78 1.61 0.098
4 T Pref_20 3 132.08 1.90 0.085
5 Q 10_10 3 132.18 2.01 0.081
6 CTMin_20 3 132.25 2.08 0.078
7 CTMax_10 3 132.26 2.08 0.078
8 Q 10_20 3 132.26 2.09 0.077
9 CTMin_10 + CTMin_20 + CTMin_10 * CTMin_20 5 133.38 3.21 0.044
10 MB + CTMax_20 4 133.44 3.27 0.043
11 MB + T Pref_10 4 133.82 3.64 0.036
12 Q 10_10 + Q 10_20 + Q 10_10 Q 10_20 5 134.17 4.00 0.030
13 MB + T Pref_10 + T Pref_20 + T Pref_10 T Pref_20 6 137.16 6.99 0.007
14 MB + CTMax_10 + CTMax_20 + CTMax_10 * CTMax_20 6 137.62 7.45 0.005

AICc: AIC values corrected for small sample sizes; CTMin: minimum critical temperature; CTMax: maximum critical temperature; K: number of parameters; MB: body mass; Q 10: thermal sensitivity of metabolism; T Pref: preferred temperature; wi: Akaike weights.

Single term models represent directional selection (e.g., CTMax), and correlational selection represents plasticity (e.g., CTMax_10 * CTMax_20).

Cold‐acclimated is indicated by a _10 subscript, while warm‐acclimated is indicated by a _20 subscript.