Open Access
How to translate text using browser tools
1 September 2001 Optimal harvest of age-structured populations of moose Alces alces in a fluctuating environment
Bernt-Erik Sæther, Steinar Engen, Erling J. Solberg
Author Affiliations +
Abstract

We analysed sex- and age-specific harvesting strategies of moose using an age-structured population model that includes density dependence as well as environmental stochasticity. In order to find the strategy that maximises the mean annual yield we simulated the process over a large number of years. The mean annual yield is a function of the three parameters (number of harvested individuals of calves, adult (≥ ½ years old) bulls and adult females) that are involved in the definitions of the strategies. We compare, by numerical maximisation of a function in several variables, two harvest strategies: proportional harvesting, i.e. removal of a certain proportion of individuals in a given age-and sex-class, and threshold harvesting, i.e. all individuals of a given sex- and age-class are harvested when the size of this subpopulation exceeds a certain threshold. In general, proportional harvest gives a smaller mean annual yield than threshold harvesting. The variance in the annual yield is, however, larger for threshold than for proportional harvesting. These differences between the two harvest strategies increase when the annual survival of calves is low, when there is high environmental stochasticity and when there is strong density regulation operating on survival. For both harvest strategies, the optimal harvest strategy involves high harvest of calves and adult bulls, whereas adult females should hardly be harvested.

© WILDLIFE BIOLOGY
Bernt-Erik Sæther, Steinar Engen, and Erling J. Solberg "Optimal harvest of age-structured populations of moose Alces alces in a fluctuating environment," Wildlife Biology 7(3), 171-179, (1 September 2001). https://doi.org/10.2981/wlb.2001.021
Published: 1 September 2001
KEYWORDS
age-specific harvesting
density dependence
environmental stochasticity
moose
stochastic population dynamics
Back to Top