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Adaptive Management is a discretionary, learning-based approach to structured decisionmaking that can be used in
conjunction with the NEPA and Federal permitting processes. Adaptive Management includes the following steps:
Predict, mitigate, implement, monitor, and adapt. The Adaptive Management process considers appropriate adjustments to
federal Actions (i.e., decisions related to the issuance of permits and authorizations under multiple statutes). It also can be used
to suggest innovative mitigation and monitoring tools as the results of current mitigation and monitoring procedures, as well
as new science, become better understood. What role does climate change play in developing an agile Adaptive Management
strategy for Arctic marine mammal populations? This presentation examines tools for managing the uncertainty that is
inherent in any decision-making process, and presents a decision framework for integrating uncertainty due to changing
Arctic conditions into Adaptive Management strategies for Arctic marine mammal populations. Climate change impacts must
be addressed over broad spatial and temporal scales, and consideration will need to shift from historic species assemblages to a
broader range of ecosystem services. Potential climate change scenarios such as the reduced extent of sea ice and altered air and
water temperature regimes must be used toguide active adaptive strategies that will become a part of everyday management
decisions. Adaptive Management allows resource managers to test assumptions, adjust policy, and incorporate learning into
future decision making and management goals. By implementing a process to integrate potential climate change scenarios into
the management of marine mammal populations, policies can be enacted to enhance conservation of these populations that
may be facing serious declines. These declines may bedue not only to climate change, but also to multiple stressors such as prey
limitation and habitat reduction. Potential climate change scenarios, as they apply to polar bear and walrus, are presented to
show how active Adaptive Management can close some of the uncertainty gaps by using feedback loops during monitoring
and implementation.
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