Climate and biotic variability in deep time: space-time scaling processes in the megaclimate, macroevolution, and macroecology
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, 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 as well as numerical modeling studies.
2) Modelling: Stochastic, scaling (fractal, multifractal), fractional equations, deterministic chaos, numerical models.
3) Phenomena: macroevolution including dynamics of diversity, extinction, origination of species, climate including paleotemperature and other paleoseries, and sea-level changes.