Pregnancy rate model a β b SE P value c Odds Ratio 95% C.I
(Intercept) 2.08 0.34 < 0.001 *** [4.16 15.53]
sqrt(age) -0.59 0.22 < 0.01 ** 0.55 [0.36 0.85]
bodyweight 1.24 0.29 < 0.001 *** 3.46 [1.96 6.10]
motorized recreation d 0.11 0.43 0.80 1.11 [0.48 2.57]
non-motorized recreation -0.55 0.23 0.02 * 0.58 [0.37 0.90]
Bodyweight model e β b SE P value
(Intercept) 63.16 0.96 < 0.001 ***
age 6.24 0.60 < 0.001 ***
age2 -2.90 0.36 < 0.001 ***
motorized recreation d 0.58 1.27 0.65
non-motorized recreation -1.69 0.72 0.02 *
a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight. a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight. a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight. a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight. a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight. a Pregnancy rate ~ sqrt(age) + bodyweight + motorized recreation + non-motorized recreation (the predictors of the pregnancy rate model cause a 24% reduction in the absolute value of the log-likelihood parameter); b beta’s of continuous independent variables are standardized; c * = p < 0.05 ** = p < 0.01 *** = p < 0.001; d Reference value = presence; e Bodyweight ~ age + age2 + motorized recreation + non-motorized recreation + (1|year) (σ2 year: 5.27 (± 2.30) total variance explained: 30%); Control variables: density red deer (t-3 and t0) available habitat mean annual precipitation and mean annual temperature were dropped during model selection and did not affect pregnancy rates and bodyweight.