Bioeconomy

Our approach allows an assessment of how to achieve economically viable reindeer densities, which is coupled to pasture dynamics (i.e. arboreal lichen pastures and supplementary feeding), optimal slaughtering strategies, economic outcome and public policy. Consequently, the main aim is to create a model to gain new insights on important social, ecologic and economic factors affecting the productivity of reindeer husbandry.

Finnmark, Norway

Stochastic winters and spring conditions together with climate and various institutional setups influence the bioeconomy of the Fennoscandian reindeer husbandry

Photo
Bård-Jørgen Bårdsen

Modeling approach
We will use an already existing model, which is the most detailed economic specification for the reindeer husbandry system to present date, as a starting point. The novelty of our model is a detailed age- and sex-structure of reindeer population, and it will be expanded to encompass the reindeer husbandry diversity within the three Fennoscandian countries.

Our comparisons of different productivity factors and income formation will include public policy actions like subsidies and incentives, which also differ between the countries. Within a climate change perspective, we aim to refine and develop our approach by adding stochastic winter and spring conditions to the existing model. We aim to parameterize and operationalize the model on a regional-scale enabling us to assessing the interaction between land use policy and climate, which again enable us to assess the optimal recovery from overgrazed pastures and the profitability and impact of supplementary feeding on the economic output.

Objectives-To develop and refine an economic-ecological model, and to assess how stochastic winters and spring conditions together with climate and various institutional setups influence the bioeconomy of the Fennoscandian reindeer husbandry at different scales by:

  • recognizing the contrasts in environmental, economic and social conditions found in Fennoscandia
  • specifying stochastic variation in winter/spring foraging conditions
Published 20. October 2016 - 14:55 - Updated 8. March 2017 - 11:13

Norwegian University of Life Sciences (NMBU)

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