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2509.02201

Prospects for Acoustically Monitoring Ecosystem Tipping Points

Neel P. Le Penru, Thomas M. Bury, Sarab S. Sethi, Robert M. Ewers, Lorenzo Picinali

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:57 AM

Audit review

The supporting information explicitly derives the OU linearization near a stable equilibrium and shows ρ(τ)=e^{λτ} and Var(η)=−σ^2/(2λ) in the stationary regime, with both trending toward 1 and ∞ respectively as λ→0−. The same file also gives the discrete-time AR(1) form with lag-1 autocorrelation ρ(1)=α and Var(η)=σ^2/(1−α^2), and notes α=e^{λΔt}, so ρ(1)→1 and the variance diverges as α→1 when approaching critical slowing down. These match the candidate solution exactly; the model further provides the exact discrete-time noise mapping from the continuous OU, which the paper summarizes but does not detail. See the SI summary and derivations for these formulas and limits , and the detailed continuous-time and discrete-time derivations .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The SI reproduces standard, correct OU/AR(1) derivations and clearly connects them to early warning signals of critical slowing down. Minor improvements would clarify the mapping between continuous-time noise intensity and discrete-time innovations and briefly note limitations (e.g., colored noise, Hopf bifurcations). Overall, the mathematical presentation is sound and useful to practitioners.