Table 3 Generalized additive models (GAMs) fit to sprint-runs and long-runs, in individuals from Esquel (temperate site) and Calafate (cold site).

From: Running performance with emphasis on low temperatures in a Patagonian lizard, Liolaemus lineomaculatus

 

Estimation of parametric coefficients (SE)

Approximate significance of the elevation smoothing term (s) and interactions

Deviance explained (N)

Intercept Esquel

Intercept Calafate

s (temperature)

s (temperature:Calafate)

s (individual)

F-value (edf)

p

F-value (edf)

p

F-value (edf)

p

0.15 m runs

0.49 (0.15)

0.43 (0.17)

43.9 (7.33)

< 0.01

2.54 (4.29)

0.03

2.72 (24.14)

 < 0.01

73.3% (358)

1.05 m runs

0.16 (0.07)

0.07 (0.07)

84.3 (6.76)

< 0.01

0.01 (1)

0.95

5.15 (27.58)

< 0.01

74.1% (356)

0.15 m runs at Suboptimal temperatures

0.48 (0.15)

0.45 (0.17)

131.03 (2.66)

< 0.01

0.46 (1.33)

0.69

2.63 (23.97)

< 0.01

81% (213)

1.05 m runs at Suboptimal temperatures

0.09 (0.07)

− 0.06 (0.08)

96.55 (2.73)

< 0.01

0.16 (1)

0.69

3.96 (26.28)

< 0.01

80% (212)

  1. For each thermal performance curve (TPC), the parametric coefficients are the intercepts of the models estimated for each population. An Analysis of Variance (ANOVA) with an F-test was used to evaluate changes in the shape of TPC between populations, for the 0.15 m runs and for the 1.05 m runs. SE standard error, N number of observations, edf effective degrees of freedom. Bold letters indicate significance values of p < 0.01.
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