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Category count models for resource management
Article first published online: 7 JUN 2012
© 2012 The Author. Methods in Ecology and Evolution © 2012 British Ecological Society
Methods in Ecology and Evolution
Volume 3, Issue 3, pages 555–563, June 2012
How to Cite
Fackler, P. L. (2012), Category count models for resource management. Methods in Ecology and Evolution, 3: 555–563. doi: 10.1111/j.2041-210X.2012.00191.x
- Issue published online: 7 JUN 2012
- Article first published online: 7 JUN 2012
- Received 3 October 2011; accepted 16 January 2012 Handling Editor: Robert Freckleton
- dynamic programming;
- implicit spatial models;
- Markov models
1. A category count model consists of a fixed set of objects (often sites) each of which is classified as one of a set of mutually exclusive categories. Additionally, the category membership of each object evolves over time as a Markov process. The evolution of the objects can be affected by choosing the number of objects in each category that receive alternative management actions.
2. Category count models have been used for a variety of resource management applications, including conservation of endangered species, land management and the management of pest infestations.
3. This paper provides for the first time a general framework for such models, briefly reviews existing applications that fit the general framework, discusses the non-trivial problem of how transition probabilities can be computed as well as some of the challenges facing analysts using this framework.
4. The framework is applied to an existing application (the management of habitat for a threatened species), demonstrating the importance of modelling the stochasticity inherent in the problem.