Local and regional variability in snow conditions in northern Finland: A reindeer herding perspective

Ambio. 2016 May;45(4):398-414. doi: 10.1007/s13280-015-0762-5. Epub 2016 Jan 11.

Abstract

Weather station measurements were used to force the SNOWPACK snow model and combined with reindeer herders' experiences to study the local and regional variations in snow conditions in a Finnish reindeer herding area for the 1981-2010 period. Winter conditions varied significantly between the four selected herding districts and between open and forest environments within the districts. The highest snow depths and densities, the thicknesses of ground ice, and the lengths of snow cover period were generally found in the northernmost districts. The snow depths showed the strongest regional coherence, whereas the thicknesses of ground ice were weakly correlated among the districts. The local variation in snow depths was higher than the regional variation and limits for rare or exceptional events varied notably between different districts and environments. The results highlight that forests diversify snow and foraging conditions, e.g., ground ice rarely forms simultaneously in different environments. Sufficient and diverse forest pastures are important during the critical winter season if reindeer herding is pursued on natural grazing grounds also in the future.

Keywords: Exceptional snow conditions; Rangifer tarandus tarandus; Reindeer herding; Snow; Snow modelling; Winter.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animal Husbandry*
  • Animals
  • Climate*
  • Environment*
  • Finland
  • Reindeer*
  • Seasons
  • Snow*