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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Markov Chain Monte Carlo Analysis of Trophic Cascade in Yellowstone after Reintroduction of Wolves
verfasst von : Darryl Johnson, David J. Klinke, Qing Wang, Morgan Condon, Zhijun Wang
Erschienen in: Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science
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Abstract
In this chapter, we update a mathematical model based on the Lotka-Volterra predator–prey model to describe the elk–coyote–wolf interactions after the reintroduction of wolf in Yellowstone in 1995. A Markov Chain Monte Carlo algorithm is applied to calibrate the model parameters based on data compiled since wolves were released in the park. Our model predictions match the published experimental data very well. The objective of this study is to predict the impact of wolf reintroduction into the Yellowstone National Park on elk and coyote population.