Studying climate effects on ecology through the use of climate indices:: the North Atlantic Oscillation, El Nino Southern Oscillation and beyond

被引:630
作者
Stenseth, NC
Ottersen, G
Hurrell, JW
Mysterud, A
Lima, M
Chan, KS
Yoccoz, NG
Ådlandsvik, B
机构
[1] Univ Oslo, Dept Biol, Ctr Ecol & Evolutionary Synth, N-0316 Oslo, Norway
[2] Flodevigen Marine Res Stn, Inst Marine Res, Dept Coastal Zone Studies, N-4817 His, Norway
[3] Inst Marine Res, N-5024 Bergen, Norway
[4] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[5] Pontificia Univ Catolica Chile, Ctr Adv Studies Ecol & Biodivers, Santiago, Chile
[6] Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA
[7] Norwegian Inst Nat Res, Div Arctic Ecol, Polar Environm Ctr, N-9296 Tromso, Norway
关键词
climate; teleconnections; time-series analysis; nonlinearity; terrestrial; marine;
D O I
10.1098/rspb.2003.2415
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Whereas the El Nino Southern Oscillation (ENSO) affects weather and climate variability worldwide, the North Atlantic Oscillation (NAO) represents the dominant climate pattern in the North Atlantic region. Both climate systems have been demonstrated to considerably influence ecological processes. Several other large-scale climate patterns also exist. Although less well known outside the field of climatology, these patterns are also likely to be of ecological interest. We provide an overview of these climate patterns within the context of the ecological effects of climate variability. The application of climate indices by definition reduces complex space and time variability into simple measures, 'packages of weather'. The disadvantages of using global climate indices are all related to the fact that another level of problems are added to the ecology-climate interface, namely the link between global climate indices and local climate. We identify issues related to: (i) spatial variation; (ii) seasonality; (iii) non-stationarity; (iv) nonlinearity; and (v) lack of correlation in the relationship between global and local climate. The main advantages of using global climate indices are: (i) biological effects may be related more strongly to global indices than to any single local climate variable; (ii) it helps to avoid problems of model selection; (iii) it opens the possibility for ecologists to make predictions; and (iv) they are typically readily available on Internet.
引用
收藏
页码:2087 / 2096
页数:10
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