Detecting stabilizing dynamics in biased biodiversity time series using Haar fluctuation analysis

Abstract Characterizing how biodiversity has changed through Earth’s history and uncovering the processes that have driven those changes remain a significant challenge. Haar fluctuation analysis, a recently developed time-series method, has been suggested as a powerful new tool to infer macroevolutionary drivers and assess system stability. Yet the ability of this method to identify unique drivers or the timing and dynamics of biodiversity, particularly in biased time series, has not been demons