Skip to main content

Table 2 Model evaluation (QIC) and cross validation (LOOCV) for female moose organized by population. Base models contain no temperature covariates, while spline models incorporate nonlinear interactions between a given covariate and ambient temperature. In this case, “Spline %can2” refers to percent canopy interacted with ambient temperature with two spline segments, while “Spline %can3” refers to percent canopy interacted with ambient temperature with three spline segments. Decreases in QIC indicate a better model fit while increases in LOOCV indicate more predictive ability

From: Behavioral modifications by a large-northern herbivore to mitigate warming conditions

 

Koyukuk

Susitna

Innoko

Tanana

Base

Spline %can2

Base

Spline %can2

Base

Spline %can2

Base

Spline %can3

QIC

47,070

46,918

70,707

70,423

73,361

73,184

102,854

102,746

ΔQIC

− 152

−284

− 177

−108

LOOCV

68%

69%

62%

64%

60%

63%

36%

46%

ΔLOOCV

+ 1%

+ 2%

+ 3%

+ 10%

  1. Note: %can = percent canopy cover