STOCHASTIC RESONANCE AS A DRIVER OF TIME PARTITIONING IN CARBONATE SUCCESSIONS: INSPIRED BY GINSBURG'S AUTOCYCLIC MODEL
The impact of Ginsburg's abstract has spread widely throughout the field of carbonate stratigraphy. While the autocyclic model provides a mechanism for the formation of asymmetric regressive lithofacies transitions, it also speaks to the partitioning of time between depositional and non-depositional intervals. As such, it now serves as an inspirational foundation for ongoing efforts directed at developing a numerical model of time partitioning in carbonate successions using weak periodic modulation of a Poissonian distribution of depositional intervals. Recent advances in our understanding of carbonate deposition strongly suggest that neither allogenic nor autogenic end-member models adequately account for the rich complexity of modern and ancient carbonate depositional systems. Rather, the interaction between stochastic and periodic forcing, such as observed in systems displaying characteristics of stochastic resonance, provide perhaps a more accurate depositional simulation. Towards that end, we present preliminary results of numerical simulations of time partitioning.
On this occasion of celebration of Professor Ginsburg and his contributions to the fields of carbonate sedimentology and stratigraphy, it is only fitting that we acknowledge the vast impact his work has had on the research community's on-going dialog regarding the characteristics and origins of shallow water carbonate deposition.