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Webinar: Integrating Dynamic Landscape Population Modeling and Structured Decision Making to Guide Regional Conservation under Climate Change

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Wednesday, 21 September 2016, 3:30

Wednesday, September 21, 2016. 3:30 PM. Webinar: Integrating Dynamic Landscape Population Modeling and Structured Decision Making to Guide Regional Conservation under Climate Change. Thomas Bonnot, University of Missouri. Sponsored by Northeast Climate Science Center. More information here.

The Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO) is an important example of regional collaborations across agency and ownership boundaries to conserve sustainable landscapes in the face of global change.  But, their planning is hampered by uncertainty in how species will respond to conservation actions amidst impacts from landscape and climate change, especially when those impacts are also uncertain.  Their efforts are also complicated by the complexities of the planning decisions, including strategic considerations such as the amount, configuration, and condition of habitat needed. How can a management action that is the best for all species be identified when different species will likely have conflicting responses to each action?  To address these difficulties, the University of Missouri, U.S. Forest Service, the Central Hardwoods Joint Venture and the Northeast Climate Science Center have teamed up with the GCPO to pilot a process that combines climate, landscape, and population modeling with Structured Decision Making to overcome uncertainty and reduce the complexity of management decisions.  This webinar will present this process for the Ozark Highlands region of the GCPO.  It will describe how a team of SWAP managers for the three states, regional science coordinators, ecologists, refuge biologists and private lands coordinators developed alternative conservation scenarios and used SDM to interpret uncertainty in terms of risk and resolve tradeoffs among conservation scenarios across species.  Together their efforts enabled the team to make a decision and demonstrated that this approach can help the GCPO and regional planning in general.

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