Adaptive management wiki: Difference between revisions

1. Learning; reducing key uncertainties  

There is explicit acknowledgement of uncertainties and knowledge gaps about the response of the system to management actions.  Reducing these uncertainties (i.e. learning) becomes one objective of management.   

2. Using what is learned to change policy and practice  

Process in place to make certain that what is learned informs decisions (i.e. closing the loop).  It is essential to have a good idea at project design stage of what policies and practices may change and what institutional mechanisms are in place to support that change.

3. Focus is on improving management  

AM integrates the worlds of science and management, ensuring applied science is well directed to key uncertainties and scientific advances are transferred to managers (i.e. this is where the learning is applied)

4. Often called experimental management  

AM is about thoughtfully applying management activities as experiments to see which are most effective in achieving desired goals.   

5. It is formal, structured, systematic  

AM is a deliberate process, not ad-hoc or simply reactionary.  Some flexibility in the approach is important to allow the creativity in management that is crucial to dealing with uncertainty and change.

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