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.
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
Images
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