Sensors that anticipate lake anoxia: when failure engineering comes to the aid of ecology

A three-phase protocol (in silico → mesocosm → whole lake) is remarkably structured, with explicit GO/NO-GO/PIVOT criteria at each stage, permitting early termination in the event of failure and rational allocation of resources.

The application of a formal reliability methodology (FMEA) to the design of ecological monitoring networks is a novel and potentially powerful idea, bridging a gap between systems engineering and risk ecology. The concept of 'silent failure' is well-chosen and relevant to slow, non-linear regime shifts.

The formalisation of monitoring network design as an optimisation problem using FMEA constitutes a novel and potentially rigorous approach, moving beyond ad-hoc or purely statistical sampling designs.

A captive monitoring network is identified: water management agencies (EPA, USGS, European basin agencies, water companies such as Veolia or Suez) spend hundreds of millions of euros on monitoring networks. Optimisation through FMEA promises a 25% reduction in sensors, corresponding to a 20–30% reduction in operating expenditure (OPEX) over five years, which constitutes a direct sales argument for constrained budgets.

High conceptual originality: the transposition of a reliability engineering tool (FMEA) to the ecology of critical thresholds, with a falsifiable hypothesis and a quantitative protocol (POD, RPN) that departs from conventional descriptive approaches.