Uncertainties and recommendations.
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.
Callaghan
Terry V
TV
Abisko Scientific Research Station, Sweden. terry.callaghan@ans.kiruna.se
Björn
Lars Olof
LO
Chernov
Yuri
Y
Chapin
Terry
T
Christensen
Torben R
TR
Huntley
Brian
B
Ims
Rolf A
RA
Johansson
Margareta
M
Jolly
Dyanna
D
Jonasson
Sven
S
Matveyeva
Nadya
N
Panikov
Nicolai
N
Oechel
Walter
W
Shaver
Gus
G
D000818:Animals; D001110:Arctic Regions; D044822:Biodiversity; D003081:Cold Climate; D003625:Data Collection / Q000379:methods; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005544:Forecasting / Q000379:methods; D008962:Models, Theoretical; D010944:Plants; D012988:Soil Microbiology; D009626:Terminology as Topic; D014466:Ultraviolet Rays