The bioeconomics of the spatial distribution of an endangered species: The case of the Swedish wolf population

Conservation of endangered species often entails significant costs, and, from a social perspective, many species can be characterized as both environmental 'bads' and 'goods'. This paper concerns the management of one such species, the Swedish wolf (Canis lupus). The fact that the wolf tends to disperse over a wide area causes specific management problems. The goal is to choose a harvesting strategy, such that the discounted stream of net benefits from the wolf populations in different geographical regions is maximized. The spatial dimension is involved through emigration and immigration. The solution to the management problem is shown to be a modification of the classical rule of renewable resource exploitation, caused by the migration of wolves between regions. Empirically, this problem is solved by dividing Sweden into 13 geographical regions, and accounting for the existence values, harvesting benefits, and predation costs of the wolf population in each region. The results show that the geographical distribution of wolves, in absolute numbers, is very sensitive to the abundance of prey and to different assumptions regarding the economic parameters of the model. However, the relative distribution of wolves across the country is less sensitive to these assumptions. The highest densities of wolves were found in regions with low marginal costs, due to the abundance of prey in relation to the comparatively low number of human hunters utilizing the same prey as the wolves. The lowest population densities were found in regions with a low carrying capacity for the wolf or with high costs of depredation on reindeer.