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Adaptive Management is a policy framework designed to utilize scientific information in formulating and improving management strategies of complex systems. Adaptive management helps policymakers and managers learn from programs so they can take systematic action to continually improve management policies. This process involves changing assumptions and interventions in order to better respond to new information. Ultimately, adaptive management is learning by doing, and it is proactive in that it does not postpone management actions until complete data or information is gathered; essentially, it is experimentation that affects social arrangements and individual lives.

Adaptive management has been defined in various ways since its development in the late 1960s. Its most effective form—“active” adaptive management—employs management programs designed to experimentally compare selected policies or practices by evaluating alternative hypotheses.

An adaptive management system has two elements: a monitoring system to measure key indicators, and a response system to modify those indicators. Principles of adaptive management include: doing it yourself, promoting innovation, valuing and learning from failures, acknowledging that decisions are made with incomplete information, and considering all events to be learning opportunities. Adaptive management is flexible, encourages public input, and monitors the results of actions for the purpose of adjusting plans and trying new or revised approaches.

Characteristics of Adaptive Management

CHARACTERISTICS OFADAPTIVE management include: acknowledgement of uncertainty concerning the most appropriate policy for a management issue, thoughtful selection of the practices to be applied (assessment and design), careful implementation of a plan of action designed to reveal the critical missing knowledge, monitoring of key response indicators, analysis of the management outcomes in consideration of the original objectives, and incorporation of the results into future decisions.

While it was first developed for ecosystem management, principles of adaptive management have also been used in other fields. For example, the concept of learning organizations in business management, learning in the social sciences, and the scientific method all draw from principles of adaptive management. More recently, adaptive management has also been applied to conservation projects.

Adaptive management is an inductive approach, relying on comparative studies that blend ecological theories with observation, the design of planned interventions in nature, and the understanding of human response processes. Adaptive management treats management policies as experiments that probe the responses of ecosystems as human behaviors change. Adaptive management is bioregional in scope, collaborative in governance, and adaptive with respect to management perspective. As its use has become more widespread and diverse in meaning, it is also referred to as adaptive environmental assessment and management, or AEAM.

Adaptive management incorporates research into conservation action. The testing of assumptions, necessary in order to adapt and learn, involves a six-step iterative process: 1) problem assessment or outline purpose; 2) model design of the system in question, and a management plan; 3) implementation of the plan; 4) monitoring of activities that test assumptions; 5) evaluation of activities and analysis of collected data; and 6) using results to adjust or adapt the project and to learn from the experience, then repeating the cycle to further improve management efforts. The key to successful adaptive management is to complete all six steps to understand which actions work or do not work, and why.

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