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Ecological, evolutionary and economic basis of game management moose harvesting as an application

Objective



Research objectives and content
The aim of this study is to create solid theoretical basis and practical applications for multiple-goal optimization in Moose population management. Albeit Moose is an economically important game animal in northern Europe, dense Moose populations also cause substantial damage to agriculture and forest saplings and injuries in traffic. The realization of the current study will take place in two parts. The first part comprises analyses of population structure, population fluctuations and frequence- and density-dependent foraging for improving the understanding of the ecological and evolutionary factors governing the population dynamics of Moose. In the latter part of the study, based partly on the results obtained in the first part, partly on other sources, a forecasting scheme and multiple-goal optimizing harvesting strategy for Moose populations will be created. The optimization takes simultaneously into account the characteristics of Moose population dynamics and economic benefits as well as losses caused by varying Moose densities. Training content (objective, benefit and expected impact)
The research group led by prof. Tim Clutton-Brock can provide an excellent ground for multidisciplinary exchange of ideas, which will certainly improve my knowledge of ecology and evolution in general, as well as substantially facilitate my work with the specific questions presented above (see the Research plan).
Links with industry / industrial relevance (22)

Funding Scheme

RGI - Research grants (individual fellowships)

Coordinator

University of Cambridge
Address
Downing Street
CB2 3EJ Cambridge
United Kingdom

Participants (1)

Not available
Finland