PREDICTING CHANGE IN NON-LINEAR SYSTEMS
| ISSN: |
1573-2959
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| Keywords: |
chaos ; climate change ; complexity ; ecosystems ; prediction ; semi-stability ; sudden change
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| Source: |
Springer Online Journal Archives 1860-2000
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| Topics: |
Energy, Environment Protection, Nuclear Power Engineering
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| 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.
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| Type of Medium: |
Electronic Resource
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| URL: |