Qualitative value of information for the effects of prescribed fire in Gulf of Mexico marshes: Expert judgment scores from a 2020 adaptive management workshop
May 6, 2022
This data set was collected as part of a structured decision-making workshop designed to identify sources of uncertainty and articulate alternative hypotheses about prescribed fire in high marshes of the Gulf of Mexico. Workshop participants independently scored alternative hypotheses based on a standard rubric using an online system. Following the workshop, we used the scores to compute QVoI for each participant. We used QVoI to prioritize the sources of uncertainty based on their magnitude of uncertainty, relevance for decision making, and reducibility.
Citation Information
Publication Year | 2022 |
---|---|
Title | Qualitative value of information for the effects of prescribed fire in Gulf of Mexico marshes: Expert judgment scores from a 2020 adaptive management workshop |
DOI | 10.5066/P95OCH4K |
Authors | Michelle L Stantial, James E Lyons |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Eastern Ecological Science Center at the Leetown Research Laboratory |
Rights | This work is marked with CC0 1.0 Universal |
Related
Qualitative value of information provides a transparent and repeatable method for identifying critical uncertainty
Conservation decisions are often made in the face of uncertainty because the urgency to act can preclude delaying management while uncertainty is resolved. In this context, adaptive management is attractive, allowing simultaneous management and learning. An adaptive program design requires the identification of critical uncertainties that impede the choice of management action. Quantitative evalua
Authors
Michelle L Stantial, Abigail Jean Lawson, Auriel M.V. Fournier, Peter J. Kappes, Chelsea S. Kross, Michael C. Runge, Mark S. Woodrey, James E. Lyons
Related
Qualitative value of information provides a transparent and repeatable method for identifying critical uncertainty
Conservation decisions are often made in the face of uncertainty because the urgency to act can preclude delaying management while uncertainty is resolved. In this context, adaptive management is attractive, allowing simultaneous management and learning. An adaptive program design requires the identification of critical uncertainties that impede the choice of management action. Quantitative evalua
Authors
Michelle L Stantial, Abigail Jean Lawson, Auriel M.V. Fournier, Peter J. Kappes, Chelsea S. Kross, Michael C. Runge, Mark S. Woodrey, James E. Lyons