Category: Ecology

Summary: Testing whether delayed adaptive dredging can most effectively reduce anoxia and ecological stress in a shallow-lake model under runoff and warming pressure.

Shallow lakes can shift abruptly into degraded, oxygen-poor states when nutrient loading and warming push them across ecological thresholds. This experiment studies whether adaptive dredging or intervention works best immediately, after a moderate delay, or only after long lag times.

The script simulates lake dynamics across runoff and warming conditions, then compares objective gain, anoxia reduction, stress reduction, resilience gain, and cost change for multiple delays. The analysis is built around whether the middle of the delay range yields the best tradeoff between ecological improvement and intervention cost.

That question matters because restoration actions are rarely instantaneous. If moderate delay works best, the result would highlight a nontrivial timing window for ecological management rather than a simple faster-is-better rule.

Method: Delayed-control simulations of a shallow-lake model under runoff and warming scenarios, with repeated trials summarized by ecological and cost metrics.

What is measured: Anoxia reduction, stress reduction, cost change, resilience gain, objective gain, re-entrant gain, and support for a mid-delay optimum.