2007
DOI: 10.1111/j.0906-7590.2007.05006.x
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Estimating the growth of a newly established moose population using reproductive value

Abstract: Estimating the population growth rate and environmental stochasticity of long-lived species is difficult because annual variation in population size is influenced by temporal autocorrelations caused by fluctuations in the agestructure. Here we use the dynamics of the reproductive value to estimate the long-term growth rate s and the environmental variance s 2 e of a moose population that recently colonized the island of Vega in northern Norway. We show that the population growth rate was high (ŝ00.26). The maj… Show more

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Cited by 30 publications
(32 citation statements)
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“…Our results largely confirm such habitat specialization (Fig. 3), which we also expected given that our study population does not show signs of density dependence in any life history trait (Saether et al 2007). However, we did not find support for sex differences in functional responses per se (habitat selection as a function of relative habitat availability, Mysterud and Ims 1998).…”
Section: Discussionsupporting
confidence: 89%
“…Our results largely confirm such habitat specialization (Fig. 3), which we also expected given that our study population does not show signs of density dependence in any life history trait (Saether et al 2007). However, we did not find support for sex differences in functional responses per se (habitat selection as a function of relative habitat availability, Mysterud and Ims 1998).…”
Section: Discussionsupporting
confidence: 89%
“…3,4) also suggest that weather during spring or early summer influences the rate of fetus loss and/or the proportion of calves surviving to the autumn. Given the very high survival rates of moose calves previously reported from Norway (Stubsjøen et al 2000;Saether et al 2007c), we believe that this effect is mainly operating as fetus loss and/ or calf mortality just after birth.…”
Section: Discussionmentioning
confidence: 81%
“…The long-run population growth rate from time step 1 to T (Tuljapurkar and Orzack 1980;Tuljapurkar et al 2003) can, according to Saether et al (2007), be written as…”
Section: The Modelmentioning
confidence: 99%