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Table 1.

Abbreviations and descriptions of covariates used in analyses of female hoary marmot reproductive parameters.

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Table 2.

Current versus previous-year breeding states.

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Fig 1.

Model-averaged breeding probability.

Probability of breeding (Ψ) for adult female hoary marmots was modeled as a function of age, previous breeding state, and time. Results are based on 6 years of trapping data (1999–2004) for marmots from 10 social groups in a single valley in the Ruby Range, Yukon. Values are model-averaged annual parameter estimates ± 1 SE.

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Fig 1 Expand

Table 3.

Model-selection results for linear models of hoary marmot reproductive parameters.

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Table 3 Expand

Table 4.

Summed AIC weights for hoary marmot multi-state CMR analysis.

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Table 5.

Observed versus predicted number of breeding females.

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Fig 2.

Model-averaged apparent survival probability.

Apparent survival probability (S) was modeled for adult female hoary marmots in the Ruby Range, Yukon, between 1999 and 2004. Probabilities for breeding and non-breeding individuals are shown. Values are model-averaged parameter estimates ± 1 SE.

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Fig 3.

The Relationship between body condition and day of year for breeding and non-breeding female hoary marmots.

We estimated the change over time in the body condition index (residuals from a linear regression of body mass as a function of zygomatic arch width) of non-breeding and breeding female hoary marmots in the Ruby Range, Yukon. Data from 1999–2004 are shown pooled across years. The best fit lines for linear regressions are shown. The slope of the relationship between body condition and Julian day was 0.02 (SE = 0.0016) for breeders and 0.028 (SE = 0.0015) for nonbreeders. The effects of day, breeding state, and day * breeding state interaction were all significant (p < 0.005) in a general linear model. Overall the model had an adjusted R2 of 0.62.

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Table 6.

Fecundity data Poisson overdispersion tests.

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Table 7.

Model-selection results for linear models of hoary marmot reproductive parameters.

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Table 8.

Model-averaging results for fecundity linear models.

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