Restoration and Ecosystem Management

Where ecosystems have been degraded, restoration seeks to assist their recovery, and ecosystem management applies ecological understanding to sustain the functions and services that ecosystems provide.

Definition

Restoration and ecosystem management is the application of ecological knowledge to assist the recovery of degraded, damaged, or destroyed ecosystems and to manage ecosystems so as to sustain their structure, functioning, and services.

Scope

This topic covers the science and practice of repairing and managing ecosystems: the goals and reference conditions of ecological restoration, techniques for re-establishing species, processes, and habitats, and the role of succession and assembly in recovery. It treats ecosystem management approaches, including adaptive management, ecosystem-based management, and the management of disturbance regimes, and the challenges of restoration under ongoing global change.

Core questions

• What are the goals and reference conditions of ecological restoration?
• How are degraded ecosystems repaired in practice?
• How can management cope with uncertainty about ecosystem responses?
• How does ongoing global change complicate restoration and management?

Key theories

Reference-based ecological restoration

Restoration is guided by reference models of the ecosystem that would exist without degradation, using natural processes of succession and assembly, supplemented by intervention, to move a site toward recovery of native composition and function.

Adaptive management

Because ecosystem responses are uncertain, management can be treated as an iterative experiment in which actions are designed to yield learning, outcomes are monitored, and strategies are revised, an approach known as adaptive management.

Mechanisms

Ecological restoration typically begins by identifying a reference ecosystem that represents the target condition, then removing or reducing the drivers of degradation, and assisting recovery by re-establishing native species, soils, hydrology, and disturbance regimes so that natural succession and community assembly can proceed. Where degradation has crossed thresholds, sites may be locked in alternative stable states that resist passive recovery and require active intervention. Ecosystem management coordinates these actions at larger scales, and adaptive management embeds them in a cycle of action, monitoring, and revision that treats interventions as experiments under uncertainty.

Clinical relevance

This topic underpins habitat restoration, land and water management, the rehabilitation of mined or polluted sites, and ecosystem-based approaches to conservation and climate adaptation. This is educational context, not management prescription.

History

Practical restoration has roots in early prairie and woodland reconstruction associated with Leopold in the 1930s. Restoration ecology matured as a scientific discipline from the 1980s, while adaptive and ecosystem-based management developed from Holling's work in the 1970s, and the Society for Ecological Restoration codified international standards in the 2010s.

Debates

Historical fidelity versus novel ecosystems

Practitioners debate whether restoration should aim to recreate historical reference conditions or accept that under rapid global change some systems have become novel ecosystems for which forward-looking, function-based goals may be more realistic.

Key figures

• Aldo Leopold
• C. S. Holling
• Katharine Suding
• James Aronson

Seminal works

• ser2019
• suding2011
• holling1978

Frequently asked questions

What is ecological restoration?

Ecological restoration is the process of assisting the recovery of an ecosystem that has been degraded, damaged, or destroyed, typically by reference to the ecosystem that would exist without that disturbance.

What is adaptive management?

Adaptive management is an approach that treats management actions as experiments, monitoring their outcomes and revising future decisions in light of what is learned, in order to cope with ecological uncertainty.