Scaling Behavior of Peat Properties during the Holocene: A Case Study from Central European Russia

A better understanding of past climate change is vital to our ability predict possible future environmental dynamics. This study attempts investigate the dynamic features temporal variability peat humification, water table depth and air temperature by analyzing palaeoecological data from Valdai Uplands region (Central European Russia). The regression analysis revealed presence a periodicity about 6000 years in reconstructed humification timeseries. Nonlinear showed that time variability, exhibit persistent long-range correlations 1/f type. indicates fluctuation these variables very likely be followed similar one future, but magnified power-law. In addition, it dictates are key parameters system implies existence special structure, such as self-organized criticality, operating close minimum stability configuration, achieves without any fine adjustment external forcing. These conclusions point new avenues for modeling ecosystem disturbances and, particular, predicting relevant extreme events.