135
Table 5.2 Model selection testing for the effect of mean size-independent body mass (M5), haematocrit (Het), residual basal metabolic ratę (resBMR) and residual summit metabolic ratę (resMsum) on the return ratę of both cohorts during winter. (WAicc: weight of the model, Par : number of parameters, Dev.: Deviance)
Model |
AlCc |
AAICc |
wAICt |
Ukelihood |
Par |
Dev. 1 | |
i |
CD(Hct+resMsum) p(.) |
76.0 |
0.0 |
0.3 |
1.00 |
4 |
67.4 |
2 |
<D(Hct+resBMR+resMsum) p(.) |
76.6 |
0.6 |
0.2 |
0.73 |
5 |
65.7 |
3 |
OtM.+M^+Hct+Hct^resBMR+resBMR^resMsum+resMsum2) P(.) |
78.2 |
2.2 |
0.1 |
0.33 |
10 |
54.7 |
4 |
<D(M,+Hct+resMsum) p(.) |
78.2 |
2.3 |
0.1 |
0.32 |
5 |
67.4 |
5 |
0(M,+Hct+resBMR+resMsum) p(.) |
78.7 |
2.7 |
0.1 |
0.26 |
6 |
65.4 |
6 |
O(resMsum) p(.) |
79.1 |
3.1 |
0.1 |
0.21 |
3 |
72.7 |
7 |
<D(resBMR+resMsum) p(.) |
80.3 |
4.4 |
0.0 |
0.11 |
4 |
71.8 |
8 |
<D(M,+M, ’) p(.) |
80.7 |
4.7 |
0.0 |
0.09 |
4 |
72.1 |
9 |
<D(M,+resMsum) p(.) |
80.7 |
4.8 |
0.0 |
0.09 |
4 |
72.2 |
10 |
<D(M,+resBMR+resMsum) p(.) |
81.0 |
5.1 |
0.0 |
0.08 |
5 |
70.2 |
11 |
<D{resMsum+resMsum2) p(.) |
81.1 |
5.2 |
0.0 |
0.08 |
4 |
72.6 |
12 |
(D(Hct+Hct2) p(.) |
87.5 |
11.6 |
0.0 |
0.00 |
4 |
78.9 |
13 |
0(.) p(.) |
87.5 |
11.6 |
0.0 |
0.00 |
2 |
83.4 |
14 |
O(Hct) p(.) |
88.0 |
12.0 |
0.0 |
0.00 |
3 |
81.6 |
15 |
(D(resBMR) p(.) |
89.7 |
13.7 |
0.0 |
0.00 |
3 |
83.3 |
16 |
<D(M,) p(.) |
89.7 |
13.8 |
0.0 |
0.00 |
3 |
83.4 |
17 |
0(M,+Hct) p(.) |
90.0 |
14.0 |
0.0 |
0.00 |
4 |
81.4 |
18 |
<D{Hct+resBMR) p(.) |
90.2 |
14.2 |
0.0 |
0.00 |
4 |
81.6 |
19 |
0(M,+resBMR) p(.) |
91.9 |
15.9 |
0.0 |
0.00 |
4 |
83.3 |
20 |
0(resBMR+resBMR2) p(.) |
91.9 |
15.9 |
0.0 |
0.00 |
4 |
83.3 |
21 |
CP(M,+Hct+resBMR) p(.) |
92.2 |
16.2 |
0.0 |
0.00 |
5 |
81.3 |
mean t = 1.0
The relationship between Msum and residual Msum was linear and strong (r = 0.89, n= 180 p < 0.0001), allowing us to use the regression eąuation (Msum= 1.535+residual Msum) to back-calculate uncorrected Msum. The relationship between winter survival and uncorrected Msum followed a non-linear curve (figurę 5.2a). Below an Msum of 1.17 W, winter survival probability was less than 10%, between 1.20 W and 1.32 W, survival probability inereased linearly reaching 50% at 1.26 W. When birds expressed an average Msum above 1.35 W, winter survival probability was greater than 90% and individuals with an Msum superior to 1.46 W were expected to have 100% chances of survival.
Analyses with raw BMR and raw Msum showed that the within winter return ratę was best explained by a model where the survival probability was dependent on BMR and Msum