Everglades Management
The Everglades ecosystem in South Florida was managed for decades under a conservation-phase paradigm: the Army Corps of Engineers straightened rivers, built canals, drained wetlands, and imposed a controlled hydrological regime designed to maximize agricultural productivity and flood protection. The engineering was excellent. The coordination was tight. And the Everglades was dying. The system was optimized for stability it did not need, and the elimination of natural variability destroyed the biological complexity that made the ecosystem productive. The subsequent Comprehensive Everglades Restoration Plan, adopted in 2000, represents one of the largest adaptive-governance experiments ever attempted.
In the AI Story
The Everglades is a dynamic system that depends on variability — seasonal fluctuations in water level, periodic fires, the unpredictable meandering of sheet flow across the landscape. The engineering regime eliminated the variability. Without it, fire-adapted communities were replaced by fire-intolerant monocultures. Species that depended on seasonal drying lost their habitat. Water that had flowed in broad, shallow sheets was channeled into canals that discharged to the ocean, carrying with it the nutrients the ecosystem needed.
The managers were not incompetent. They were optimizing, and the optimization was succeeding by its own metrics: canals moved water efficiently, flood protection was effective, agricultural yields were high. The metrics measured conservation-phase performance. The system needed variability — the capacity to absorb disturbance, reorganize in response to changing conditions, maintain essential function through fluctuation. The optimization purchased efficiency at the cost of resilience.
The Comprehensive Everglades Restoration Plan adopted an explicitly adaptive framework. Rather than specifying a target hydrological regime and engineering toward it, the plan established restoration goals, implemented a portfolio of interventions, and committed to monitoring and adjustment. The approach was slower, less efficient, and less certain than command management — and more effective, because it could respond to surprises.
The Everglades serves in On AI as the structural analogy for the pre-AI technology industry's conservation-phase optimization. Both systems were optimized. Both produced impressive performance metrics. Both had purchased efficiency at the cost of resilience, and the cost was becoming visible as the system degraded beneath the performance numbers.
Origin
Everglades management began in the early 20th century; the Comprehensive Everglades Restoration Plan was authorized by Congress in 2000 as the largest ecosystem restoration effort in U.S. history.
Key Ideas
Optimization destroyed the system it managed. Conservation-phase metrics measured what the system could deliver, not what the system required to persist.
Variability as requirement. Dynamic systems require disturbance; eliminating it eliminates the complexity that defines the system.
Adaptive restoration. The CERP is a large-scale demonstration of adaptive management applied to a system management had nearly destroyed.
Appears in the Orange Pill Cycle
Further reading
- Light and Dineen, 'Water Control in the Everglades: A Historical Perspective' (1994)
- Sklar et al., 'The Ecological-Societal Underpinnings of Everglades Restoration' (2005)