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NP3.2 | Nonlinear variability in deep time: space-time scaling processes in the megaclimate, macroevolution and tectonics
Nonlinear variability in deep time: space-time scaling processes in the megaclimate, macroevolution and tectonics
At scales of millions of years and longer, geoprocesses typically display nonlinear variability: strong (non Gaussian) extremes, strong (long range) correlations, nontrivial fractal patterns and other scaling behaviours. Over these “mega” time scales, tectonic, climatic and evolutionary processes interact with important consequences for the climate, macroevolution, and other biogeological processes. Advances in nonlinear data analysis, scale by scale decomposition of patterns, and nonlinear modeling, combined with the increasing availability of quantitative paleo data are enabling new and exciting discoveries in understanding the regional and planetary scale phenomena of physical and biological evolution. This session brings together paleontologists, climatologists, tectonists and other nonlinear geoscientists, for a common task of uncovering the multiscale variability and hierarchical interactions between physical and biological dominions of the Earth system. Contributions relevant to processes at these long time scales are encouraged, in particular:1) Data analyses: spectra, wavelets, structure functions, probability distributions (extremes), recurrence plots, trace moments and other nonlinear analysis techniques. 2) Modelling: Stochastic, scaling (fractal, multifractal), fractional equations, deterministic chaos. 3) Phenomena: macroevolution including dynamics of diversity, extinction, origination of species, and variations in global biogeochemical cycles, climate including paleotemperature and other paleoseries, tectonics: continental drift, mantle convection, sea-level changes.
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