Coping with uncertainty in modeling environmental resources: practices, pitfalls & recommendations from modelers, restoration biologists & managers


Session Date: June 1st 2010

Session Time: 11:46

Session Lead: Tom Ihde

Session Co-Lead(s): Howard Townsend

Session Abstract: Being aware of model parameter and structure uncertainty is necessary for understanding the expected outcome of management actions. Methods of dealing with model uncertainty are disparately applied around the Chesapeake Bay research and resource management community. The communication of these concepts and study results to managers is likewise disparate. Models are important as frameworks for identifying management priorities and research needs. Models are needed to understand the populations and to simplify the complex dynamics of ecosystems that the decision-makers seek to manage. Research studies and monitoring performed can ultimately help to reduce the parameter and structure uncertainty in model outputs. Thus, the most effective use of models and their results will both help managers understand the dynamics of the resources that they manage and identify research priorities that will improve the precision of model results; ideally, this process improves the reliability of model assessments and forecasts. However, the approaches used by scientists to address uncertainty in their modeling efforts vary widely, and these methods must be communicated effectively to resource managers if managers are to be able to correctly interpret model results for effective decision making. In this session we seek to bring scientists, biologists and managers together to share how uncertainty in model parameters and structure is assessed and documented, how that information is presented to managers, and ultimately, how that information is incorporated into resource management decisions. The opportunities for questions to the panel of presenters in both the morning and afternoon sub-sessions should provide many opportunities for shared insights into possible best practices for documenting and presenting different types of model uncertainties. The goal is to capture these shared insights as a list of recommendations for scientists for how to systematically deal with model uncertainty and effectively communicate their findings to resource managers and restoration biologists.

Presentations:

Time Title
8:30 Fishing for the right model: Modeling for resource management - Bruce Vogt - NCBO View pdf
8:50 Understanding Uncertainty in Modeling for Resource Management - Howard Townsend - NOAA Chesapeake Bay Office - Oxford Lab View pdf
9:10 Considering Uncertainty in Fisheries Management - Robert Beal - Atlantic States Marine Fisheries Commission View pdf
9:30 Managers and Uncertainty – Oil and Water, or a Match made in Heaven? - Lynn Fegley - Maryland Department of Natural Resources View pdf
9:50 "Just give me a number!" - A fisheries biologists experience communicating uncertainty to managers - Jim Uphoff - MD DNR, Fisheries Service View pdf
10:30 Uncertainty and Precaution in Mid-Atlantic Fisheries Management - Michael Wilberg - Chesapeake Biological Laboratory University of Maryland Center for Environmental Science View pdf
10:50 Methods for Improving Confidence in Model Predictions and Incorporating Uncertainty: Lessons from Simulating Hypoxia in Narragansett Bay - Mark Brush - Virginia Institute of Marine Science View presentation
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11:10 Ecosystems Management and Managers - John Ward - NOAA Fisheries, Socioeconomics View pdf
11:30 An Ecosystem-Based Modeling Approach: The Chesapeake Atlantis Model - Tom Ihde - NOAA Chesapeake Bay Office View pdf
1:00 The Role of Uncertainty in Limiting Demographic Model Application in Oyster Management in Cheapeake Bay - William Richkus - Versar, Inc. View pdf
1:20 Inviting feedback to clarify uncertainty - Elizabeth North - UMCES Horn Point Laboratory View pdf
1:40 Facilitated discussion - round-table 1: Best Practices/ Recommendations for Modelers (& Managers & Users) - Group
3:20 Audience Question, Suggestions and Comments - Group
3:35 Facilitated discussion-round-table 2 : Best Practices/ Recommendations for Modelers (& Managers & Users) - Group
4:50 Next Steps - Group

Post-Session Review: At our full-day Session, we had an extremely interesting and engaging day. This Session was a professionally-facilitated panel discussion structured to produce a list of key challenges and initial steps for moving forward on this difficult issue for Bay fisheries management. Participating on the panel were both key managers and modelers from the region with a diverse knowledge and experience in Chesapeake Bay issues; these included: representation from the newly-formed Fisheries Goal Implementation Team (GIT), NOAA’s Chesapeake Bay Office, Maryland DNR, the Atlantic States Marine Fisheries Commission; faculty of the Virginia Institute of Marine Science, and the University of Maryland Center for Environmental Science (both Chesapeake Biological and Horn Point Laboratories); as well as consultants from Versar, Inc. and the Gentner Consulting Group, who possess a wide variety of experiences in approaching modeling uncertainty for applications in both the public and private arenas. In total, participants identified fifty-eight (58) challenges to making progress on modeling uncertainty for Bay issues based on the Session presentations and agreed these could be categorized into four (4) key topical challenges. These were: communication, data, risk, and a forum/process to address issues. The panel also identified a series of suggested steps forward to address these issues. This meeting was recognized as an important beginning in a necessary and iterative process of frequent collaboration between managers and modelers to conceptualize new models together and to communicate frequently throughout the model-building process to ensure that the models being built actually answer the questions that the managers need addressed. A full report of this Session will be available from the NOAA Fisheries Chesapeake Bay Office (Annapolis) July, 2010.

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