Concept

Resilience

Also known as: ecological resilience, system resilience

The capacity of a system — ecological, social, biological, economic — to absorb disturbance and reorganize while maintaining essentially the same function, structure, and identity. Distinguished from stability (which is about resisting change) and from recovery (which is about returning to a prior state) by its emphasis on the system's continued ability to adapt and self-organize through disturbance. Foundational concept articulated by ecologist C.S. (Buzz) Holling in his 1973 paper 'Resilience and Stability of Ecological Systems' — one of the seminal papers in 20th-century ecological thought. Has become central to climate-adaptation, food-systems, public-health, and economic-systems discourse.

Scientific

C.S. (Buzz) Holling’s 1973 paper “Resilience and Stability of Ecological Systems” introduced resilience as a distinct ecological concept. Holling distinguished:

Stability — a system’s tendency to return to equilibrium after disturbance. High-stability systems resist change but may collapse catastrophically when pushed past a threshold.
Resilience — a system’s capacity to absorb disturbance and reorganize while maintaining function and [[eating-the-landscape|identity]]. High-resilience systems may show substantial change in any given year but maintain function across long time horizons.

The two are not the same thing. A monoculture wheat field may be highly stable in good years but low-resilience under disturbance (drought, pest pressure, market shock); a diverse polyculture may be lower-stability (more variable year-to-year) but higher-resilience (continues to function under disturbance that would catastrophically damage the monoculture).

Resilience theory has subsequently expanded beyond ecology to social-ecological systems, public-health systems, and economic systems through the work of the Resilience Alliance and successive theorists (Brian Walker, Steve Carpenter, Carl Folke, others). Key concepts include:

Adaptive cycles — the four phases (growth, conservation, release, reorganization) through which [[complexity|complex systems]] cycle, with different vulnerabilities and capacities at each phase
Panarchy — nested adaptive cycles across scales, where smaller-scale dynamics interact with and constrain larger-scale dynamics
Slow variables — the underlying conditions (soil quality, social trust, institutional integrity) that change slowly but determine system resilience over the long run

Practical

For agricultural and food systems, the resilience framework reframes the central question. Industrial-agriculture optimization for short-term productivity reduces system resilience (monoculture, synthetic-input dependence, simplified cropping, consolidated supply chains) — producing systems that are highly productive in good years but catastrophic-failure-prone under disturbance. Regenerative practice prioritizes system-level resilience: diversity, soil-health building, decentralized production, and capacity for adaptation across the multi-decade timescales over which climate and ecological pressures operate.

The same framework applies to community resilience, watershed resilience, food-system resilience, and the broader question of what it means to build systems intended to last.

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Scientific

shares approach with

Complexity resilience theory is one of the principal applications of complexity-systems thinking

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Scientific

Practical

See also

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