Ecology and Society Ecology and Society
E&S Home > Vol. 15, Iss. 4 > Art. 10 > Abstract Open Access Publishing 
An Evaluation of Feral Cat Management Options Using a Decision Analysis Network

Kerrie Anne T. Loyd, University of Georgia
Jayna L. DeVore, University of Georgia

DOI: http://dx.doi.org/10.5751/ES-03558-150410

Full Text: HTML   
Download Citation


Abstract

The feral domestic cat (Felis catus) is a predatory invasive species with documented negative effects on native wildlife. The issue of appropriate and acceptable feral cat management is a matter of contentious debate in cities and states across the United States due to concerns for wildlife conservation, cat welfare, and public health. Common management strategies include: Trap-Neuter-Release, Trap-Neuter-Release with removal of kittens for adoption and Trap-Euthanize. Very little empirical evidence exists relevant to the efficacy of alternative options and a model-based approach is needed to predict population response and extend calculations to impact on wildlife. We have created a structured decision support model representing multiple stakeholder groups to facilitate the coordinated management of feral cats. We used a probabilistic graphical model (a Bayesian Belief Network) to evaluate and rank alternative management decisions according to efficacy, societal preferences, and cost. Our model predicts that Trap-Neuter-Release strategies would be optimal management decisions for small local populations of less than fifty cats while Trap-Euthanize would be the optimal management decision for populations greater than 50 cats. Removal is predicted to reduce feral cat populations quickly and prevent cats from taking a large number of wildlife prey.

Key words

decision analysis network; feral cat management; lethal control; Trap-Neuter-Release; wildlife conservation

Copyright © 2010 by the author(s). Published here under license by The Resilience Alliance. This article  is under a Creative Commons Attribution-NonCommercial 4.0 International License.  You may share and adapt the work for noncommercial purposes provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license.

Top
Ecology and Society. ISSN: 1708-3087