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Derivation and assessment of vegetation maps for reindeer pasture analysis in Arctic European Russia

Published online by Cambridge University Press:  01 October 2007

W.G. Rees  and
F.S. Danks
W.G. Rees
Affiliation:
Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge CB2 1ER
F.S. Danks
Affiliation:
Scott Polar Research Institute, University of Cambridge, Lensfield Road, Cambridge CB2 1ER
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Abstract

Throughout northern Eurasia, the presence of reindeer is a complicating factor in the consideration of interactions between vegetation and climate. The ability to interpret future changes in these interactions will depend on access to maps of sufficient detail to represent aspects of vegetation distribution relevant to reindeer grazing, amongst which we particularly identify lichens and shrubs. Such maps, if they are to have circumpolar coverage, can only feasibly be produced on a routine basis using satellite imagery having wide swaths but comparatively coarse resolution. This paper presents qualitative and quantitative comparisons between three such maps, and two more detailed vegetation maps compiled from fieldwork and from recent field-trained satellite image analysis, all for a study area in the Nenets Autonomous Okrug, Russia. It is shown that, despite its high degree of generalisation, the Circumpolar Arctic Vegetation Map provides the best representation of the vegetation in the study area amongst the three circumpolar land-cover maps that were examined, but that none of the three is entirely satisfactory. While the adequate representation of shrubs and lichens currently continues to depend on the analysis of field data or high-resolution satellite imagery which is unsuitable for circumpolar mapping, it is suggested that the prospects for satellite-based circumpolar vegetation mapping capable of including these components is promising.

Type
Articles
Information
Polar Record , Volume 43 , Issue 4 , October 2007 , pp. 290 - 304
Copyright
Copyright © Cambridge University Press 2007

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