| Abstract: |
| Multiscale analysis is a key aspect of complexity science. An established conceptual framework grounded in resilience science is provided by L. H. Gunderson`s and C. S.Holling`s \textit{Panarchy} heuristic (2002), which envisions a complex system as a nested set of cyclic processes, hierarchically structured across spatiotemporal scales. Originally formulated for socio-ecological systems, this model has been rapidly adopted across scientific disciplines, including biology, economics, and politics. However, to date, corresponding studies have been almost exclusively of qualitative nature. An integral quantitative approach to panarchies would require the identification of relevant operating scales, the assessment of adaptive cycles within scales, and the estimation of information flow across scales. Current quantitative approaches cover only individual aspects, leveraging established measures rooted in spectral analysis, information theory, and network analysis (Angeler et al. 2023). In this talk, we review the recent development and consider potential future pathways. |
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