Resource

Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change

Author/Contact:

Brady Mattsson
Institute of Silviculture
University of Natural Resources & Life Sciences (BOKU)
Peter Jordanstrasse 82
A-1190 Wien
EMail: brady.mattsson@boku.ac.at 
Tel: (+43) 1 / 47654-91318 
short.boku.ac.at/mattsson.html

Publication date:

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Resource description:

The article describes an application of collaborative decision analysis with a diverse team of stakeholders who preserve, manage, or restore tidal marshes across the San Francisco Bay estuary, USA, as a case study. A Bayesian decision network revealed that a strategy considering sea-level rise and storms explicitly in tidal-marsh restoration planning and designs was optimal, and it was robust to uncertainties about management effectiveness and budgets. The decision-analytic framework is sufficiently general to offer an adaptable template, which can be modified for use in other areas that include a diverse and engaged stakeholder group.

Requirements:

  • Basic understanding of multi-criteria decision analysis, Bayesian belief networks, participatory decision-making, and/or structured decision making

Advantages:

  • The decision-analytic framework is sufficiently general to offer an adaptable template, which can be modified for use in other areas that include a diverse and engaged stakeholder group.

Constraints:

  • See Product Requirements above

Additional information:

Supporting Climate Adaptation Decisions for Estuarine Ecosystems of the San Francisco Bay: http://climate.calcommons.org/cads
http://www.sfbayjv.org/projects.php#cad

Licence:

  • Free, no licence

Development stage:

  • Full, working product