Fast and slow advances toward a deeper integration of theory and empiricism

Abbott, Karen C.; Fang, Ji; Stieha, Christopher R.; Moore, Christopher

doi:10.1007/s12080-019-00441-x

Cited by 1 publication

(1 citation statement)

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“…Instead, one examines the stable state (e.g., equilibrium) under different, fixed parameters (i.e., environmental conditions), and then compares among different environments (we call this an “implicit” rate of change). This assumption builds on theories of slow–fast dynamics (Abbott et al, 2020; Rinaldi & Scheffer, 2000) where ecological dynamics are fast enough to reach equilibrium following any change in the environment. It also leads to the study of alternate stable states where catastrophic transitions in system state occur at their associated corresponding “critical points” (see Box 1).…”

Section: Introductionmentioning

confidence: 99%

Early warning indicators capture catastrophic transitions driven by explicit rates of environmental change

Arumugam,

Guichard,

Lutscher

2024

Ecology

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In response to external changes, ecosystems can undergo catastrophic transitions. Early warning indicators aim to predict such transitions based on the phenomenon of critical slowing down at bifurcation points found under a constant environment. When an explicit rate of environmental change is considered, catastrophic transitions can become distinct phenomena from bifurcations, and result from a delayed response to noncatastrophic bifurcations. We use a trophic metacommunity model where transitions in time series and bifurcations of the system are distinct phenomena. We calculate early warning indicators from the time series of the continually changing system and show that they predict not the bifurcation of the underlying system but the actual catastrophic transition driven by the explicit rate of change. Predictions based on the bifurcation structure could miss catastrophic transitions that can still be captured by early warning signals calculated from time series. Our results expand the repertoire of mechanistic models used to anticipate catastrophic transitions to nonequilibrium ecological systems exposed to a constant rate of environmental change.

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Section: Introductionmentioning

confidence: 99%