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Geo–ecology and management of sensitive montane landscapes

Identifieur interne : 002072 ( Main/Exploration ); précédent : 002071; suivant : 002073

Geo–ecology and management of sensitive montane landscapes

Auteurs : John E. Gordon [Royaume-Uni] ; Igor J. Dvorák [République tchèque] ; Christer Jonasson [Suède] ; Melanie Josefsson [Suède] ; Milena Kociánová [République tchèque] ; Des B. A. Thompson [Royaume-Uni]

Source :

RBID : ISTEX:A03E24F0A1B4D9E1BE43AC10562B07D83D09FF93

English descriptors

Abstract

Montane (alpine) areas are generally of high value for nature conservation. Such environments and the habitats they support are dynamic and often fragile. They are vulnerable to disturbance from a range of human activities and are responsive to climate changes over short and long timescales. Biodiversity and conservation values are closely linked to geological history, geomorphological processes and soils, and it is crucial that management systems are based on understanding these links. There are many similarities between the Cairngorm Mountains (Scotland), the Giant Mountains (Czech Republic) and Abisko Mountains (Sweden) in terms of geology, geomorphology, ecology, links with biodiversity and high conservation importance. Comparable pressures and management issues involve, to varying degrees, a history of human use and impacts from deforestation, pasturing, grazing, recreation and atmospheric pollution. Landscape change therefore involves a complex interplay between natural and anthropogenic factors. Managing such change requires better understanding of the geo–ecological processes involved and the factors that determine landscape sensitivity. This is illustrated through a simple framework and examples from the three areas. Comparison of landscape sensitivity between similar montane areas, but in different geographic locations and climatic environments, should allow more informed management planning and a precautionary approach in advance of further changes in human activity and from predicted global warming scenarios.

Url:
DOI: 10.1111/j.0435-3676.2002.00174.x


Affiliations:


Links toward previous steps (curation, corpus...)


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