Using structured decision making to manage disease risk for Montana wildlife1. (31st December 2012)

• Record Type: Journal Article
• Authors: Mitchell, Michael S.; Gude, Justin A.; Anderson, Neil J.; Ramsey, Jennifer M.; Thompson, Michael J.; Sullivan, Mark G.; Edwards, Victoria L.; Gower, Claire N.; Cochrane, Jean Fitts; Irwin, Elise R.; Walshe, Terry
• Is Part Of: Wildlife Society bulletin. Volume 37:Number 1(2013:Mar.)
• Page Start: 107
• Page End: 114
• Publication Date: 2012-12-31
• Subjects: Wildlife management -- Periodicals; Wildlife conservation -- Periodicals; 333.9540973
• DOI: 10.1002/wsb.237
• Languages: English
• ISSNs: 0091-7648

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>We used structured decision‐making to develop a 2‐part framework to assist managers in the proactive management of disease outbreaks in Montana, USA. The first part of the framework is a model to estimate the probability of disease outbreak given field observations available to managers. The second part of the framework is decision analysis that evaluates likely outcomes of management alternatives based on the estimated probability of disease outbreak, and applies managers' values for different objectives to indicate a preferred management strategy. We used pneumonia in bighorn sheep (<italic>Ovis canadensis</italic>) as a case study for our approach, applying it to 2 populations in Montana that differed in their likelihood of a pneumonia outbreak. The framework provided credible predictions of both probability of disease outbreaks, as well as biological and monetary consequences of management actions. The structured decision‐making approach to this problem was valuable for defining the challenges of disease management in a decentralized agency where decisions are generally made at the local level in cooperation with stakeholders. Our approach provides local managers with the ability to tailor management planning for disease outbreaks to local conditions. Further work is needed to refine our disease risk models and decision analysis, including robust prediction of disease outbreaks and improved assessment of management alternatives. © The Wildlife Society, 2012</p> </abstract>