Modela |
Open ponderosa pine |
Young mixed conifer |
Mature mixed conifer |
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Rankb |
ΔAICcc |
wid |
Rank |
ΔAICc |
wi |
Rank |
ΔAICc |
wi |
|||
Mo (stand*year) |
8 |
15.2 |
0.000 |
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Mt (snow max) |
10 |
16.1 |
0.000 |
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Mt (stand*year) |
1 |
0.0 |
0.339 |
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Mt (stand+snowmax) |
10 |
15.4 |
0.000 |
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Mt (year) |
8 |
6.9 |
0.012 |
7 |
14.7 |
0.000 |
8 |
14.1 |
0.000 |
||
Mt (year+ccov) |
10 |
14.3 |
0.000 |
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Mt (year+ucov) |
5 |
4.8 |
0.035 |
5 |
3.2 |
0.069 |
|||||
Mt (year+ucov+ccov) |
3 |
1.5 |
0.163 |
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Mth (year+wt) |
9 |
8.9 |
0.005 |
1 |
0.0 |
0.498 |
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Mth (year+wt+stand) |
3 |
2.6 |
0.133 |
6 |
3.6 |
0.058 |
|||||
Mth (year+wt+ucov) |
6 |
6.2 |
0.017 |
2 |
0.7 |
0.344 |
|||||
Mth (year+wt+ucov+ccov) |
4 |
1.8 |
0.135 |
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Mth2 (θ1(.) π1, π 2)+snowmax |
4 |
4.0 |
0.053 |
4 |
8.0 |
0.009 |
|||||
Mth2 (θ1(.)π 1, π 2)+year |
1 |
0.0 |
0.385 |
5 |
8.1 |
0.009 |
9 |
14.1 |
0.000 |
||
Mth2 (θ1(.)π 1, π 2)+year+ucov |
2 |
0.3 |
0.330 |
||||||||
Mth2 (θ1(stand) π 1, π 2)+year |
3 |
1.9 |
0.147 |
6 |
8.7 |
0.006 |
2 |
1.3 |
0.181 |
||
Mth2 (θ1(stand) π 1, π 2 (stand))+year |
7 |
6.4 |
0.016 |
9 |
15.6 |
0.000 |
|||||
Mth2 (θ1(stand) π 1(stand) π 2(stand)) |
7 |
3.7 |
0.054 |
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a Model subscript definitions: Mo – no behavior, time, or heterogeneity effects on capture probability; Mt - capture probabilities vary with time; Mth - capture probabilities vary by time and individual; Mth2 –capture probabilities vary by time and individual animals in a bimodal distribution such that pi = probability the animal has capture probability (θ1).
b Rank among top 10 models for that cover type.
c The difference between the given model and the minimum AIC model for that cover type. Models with values ≤2 (bold) have substantial support from the data, values from 3-7 have considerably less support, and differences ≥10 have essentially no support (Burnham and Anderson 2002: p. 70).
d Akaike weight of evidence, or probability, that model is the actual “best” among models within the cover type.
LITERATURE CITED
Burnham, K. P., and D. R. Anderson. 2002. Model selection and multimodel inference: A practical information-theoretic approach, Second edition. Springer, New York, New York, USA.