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| Nelitz, Marc A; ESSA Technologies Ltd.; mnelitz@essa.com; Beardmore, Ben; Beardmore Consulting LLC; Wisconsin Department of Natural Resources; Alan.Beardmore@wisconsin.gov; Machtans, Craig S; Canadian Wildlife Service, Environment Canada; Craig.Machtans@ec.gc.ca; Hall, Alexander W; ESSA Technologies Ltd.; ahall@essa.com; Wedeles, Chris; ArborVitae Environmental Services Ltd.; chris@avesltd.ca. |
| Complexity and uncertainty are inherent in social-ecological systems. Although they can create challenges for scientists and decision makers, they cannot be a reason for delaying decision making. Two strategies have matured in recent decades to address these challenges. Systems thinking, as embodied by conceptual modeling, is a holistic approach in which a system can be better understood by examining it as a whole. Expert elicitation represents a second strategy that enables a greater diversity of inputs to understand complex systems. We explored the use of conceptual models and expert judgments to inform expansion of monitoring around oil sands development in northern Alberta, Canada, particularly related to migratory forest birds. This study area is a... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Complexity; Conceptual modeling; Expert judgment; Migratory birds; Oil sands; Uncertainty. |
| Ano: 2015 |
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| Failing, Lee; Compass Resource Management; lfailing@compassrm.com; Horn, Graham; ; ghorn@planit.bc.ca; Higgins, Paul; ; paul.Higgins@bchydro.bc.ca. |
| This paper provides an example of a practical integration of probabilistic policy analysis and multi-stakeholder decision methods at a hydroelectric facility in British Columbia, Canada. A structured decision-making framework utilizing the probabilistic judgments of experts, a decision tree, and a Monte Carlo simulation provided insight to a decision to implement an experimental flow release program. The technical evaluation of the expected costs and benefits of the program were integrated into the multi-stakeholder decision process. The framework assessed the magnitude of the uncertainty, its potential to affect water management decisions, the predictive ability of the experiment, the value of the expected costs and benefits, and the preferences of... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Adaptive management; Decision analysis; Expert judgment; Hydroelectricity; Multi-attribute evaluation; Multi-stakeholder consultation; Risk management; Value of information. |
| Ano: 2004 |
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