Document Detail

Uncertainties and recommendations.
MedLine Citation:
PMID:  15573575     Owner:  NLM     Status:  MEDLINE    
An assessment of the impacts of changes in climate and UV-B radiation on Arctic terrestrial ecosystems, made within the Arctic Climate Impacts Assessment (ACIA), highlighted the profound implications of projected warming in particular for future ecosystem services, biodiversity and feedbacks to climate. However, although our current understanding of ecological processes and changes driven by climate and UV-B is strong in some geographical areas and in some disciplines, it is weak in others. Even though recently the strength of our predictions has increased dramatically with increased research effort in the Arctic and the introduction of new technologies, our current understanding is still constrained by various uncertainties. The assessment is based on a range of approaches that each have uncertainties, and on data sets that are often far from complete. Uncertainties arise from methodologies and conceptual frameworks, from unpredictable surprises, from lack of validation of models, and from the use of particular scenarios, rather than predictions, of future greenhouse gas emissions and climates. Recommendations to reduce the uncertainties are wide-ranging and relate to all disciplines within the assessment. However, a repeated theme is the critical importance of achieving an adequate spatial and long-term coverage of experiments, observations and monitoring of environmental changes and their impacts throughout the sparsely populated and remote region that is the Arctic.
Terry V Callaghan; Lars Olof Björn; Yuri Chernov; Terry Chapin; Torben R Christensen; Brian Huntley; Rolf A Ims; Margareta Johansson; Dyanna Jolly; Sven Jonasson; Nadya Matveyeva; Nicolai Panikov; Walter Oechel; Gus Shaver
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Ambio     Volume:  33     ISSN:  0044-7447     ISO Abbreviation:  Ambio     Publication Date:  2004 Nov 
Date Detail:
Created Date:  2004-12-02     Completed Date:  2005-02-15     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0364220     Medline TA:  Ambio     Country:  Sweden    
Other Details:
Languages:  eng     Pagination:  474-9     Citation Subset:  IM    
Abisko Scientific Research Station, Sweden.
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MeSH Terms
Arctic Regions
Cold Climate*
Data Collection / methods
Environmental Monitoring / methods*
Forecasting / methods
Models, Theoretical
Soil Microbiology
Terminology as Topic
Ultraviolet Rays*

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