ISSN:
1573-2959
Keywords:
chaos
;
climate change
;
complexity
;
ecosystems
;
prediction
;
semi-stability
;
sudden change
Source:
Springer Online Journal Archives 1860-2000
Topics:
Energy, Environment Protection, Nuclear Power Engineering
Notes:
Abstract Complex systems are characterizedby surprising switches to new behaviours. Evaluating and predicting these changes demands anunderstanding of the behaviour of the whole system. The combined ecosystem-climate system shows chaoticor pseudorandom behaviour, stochastic or trulyrandom behaviour, as well as simple bifurcation andsemi-stability. Semistability involves the suddenchange from a destabilized ’attractor‘ to a newstable attractor which may occur after an apparentlyunpredictable time delay. We present some recentresults for analyzing time series data and for usingsimulations of non-linear models to predict these changes.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1005787918882
