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(^<J^>CBMR+Msuin)P(-)> table 5.3). Analyses of the covariate effects revealed that within winter survival varied with Msum (<J>(.)p₍.) vs. <D(Msum)P(o^: X² = 13.2, p < 0.001) and that the addition of BMR in the model improved survival probability (<I>(BMR+Msum)P(*) vs. 0(M3um)P(«)* X² = 15.1, p < 0.001) although BMR alone did not affect apparent survival (<D(.)p₍.) vs. <D(bmr)P(*)^: X² = 0.3, p = 0.6). Within winter survival was not related to M, (<D₍.)p₍.) vs. <I>(Ms)P(»): X² = 0.03, p = 0.96) or Het (fy.jPo vj. <X>(Hct)P(*): X² = 1.7, p = 0.2) in this case. The relationship between winter survival and raw Msum followed a sigmoid curve (figurę 5.2b). Below an Msum of 1.35 W, within winter survival probability was nuli while above 1.35 W, within winter survival probability was 100%.

Figurę 5.2 Relationship between winter apparent survival and a) winter uncorrected Msum, with survival controlled for the effect of hasmatocrit and b) winter raw Msum, with survival controlled for the effect of BMR (see text for details).