8. Modeling Wildlife Population Dynamics with an Influence Diagram

  1. Timothy C. Haas

Published Online: 12 JAN 2011

DOI: 10.1002/9780470979334.ch8

Improving Natural Resource Management: Ecological and Political Models

Improving Natural Resource Management: Ecological and Political Models

How to Cite

Haas, T. C. (2011) Modeling Wildlife Population Dynamics with an Influence Diagram, in Improving Natural Resource Management: Ecological and Political Models, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470979334.ch8

Author Information

  1. Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, USA

Publication History

  1. Published Online: 12 JAN 2011
  2. Published Print: 4 MAR 2011

ISBN Information

Print ISBN: 9780470661130

Online ISBN: 9780470979334

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Keywords:

  • East African cheetah;
  • ecosystem influence diagram (ID);
  • stochastic differential equations (SDEs);
  • wildlife population dynamics

Summary

A set of regions is given in this chapter that partitions Kenya into areas that have relatively homogeneous climate and vegetation regimes. Regions for Tanzania and Uganda are also given that, instead, follow the political district partitioning of these two countries. The chapter describes an ecosystem influence diagram (ID) that models cheetah and prey abundance within each of these regions. This ID contains a system of stochastic differential equations (SDEs) that model cheetah-prey population dynamics. The chapter presents architecture for a wildlife abundance model that is made specific by using it to construct an ID for the East African cheetah. It contains a description of one such MC method that has been modified to allow the SDE system to be embedded in an ID. The chapter also presents examples of finding such approximate solutions to the East African cheetah ecosystem ID.

Controlled Vocabulary Terms

influence diagram; random dynamical system; stochastic processes