Chapter 17. Learning and Adaptive Management

  1. Michael J. Conroy and
  2. John P. Carroll

Published Online: 10 FEB 2009

DOI: 10.1002/9781444303155.ch17

Quantitative Conservation of Vertebrates

Quantitative Conservation of Vertebrates

How to Cite

Conroy, M. J. and Carroll, J. P. (2009) Learning and Adaptive Management, in Quantitative Conservation of Vertebrates, Wiley-Blackwell, Oxford, UK. doi: 10.1002/9781444303155.ch17

Author Information

  1. University of Georgia, USA

Publication History

  1. Published Online: 10 FEB 2009
  2. Published Print: 9 JAN 2009

ISBN Information

Print ISBN: 9781405190985

Online ISBN: 9781444303155

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Keywords:

  • learning and adaptive management;
  • prediction and monitoring;
  • uncertainty in decision making;
  • adaptive harvest management (AHM) models;
  • faith in models vs. models as tools;
  • plausible vs. implausible models;
  • hypothesis tests vs. weight of evidence;
  • constructing the models;
  • Bayes' Theorem (BT);
  • adaptive management and Adaptive Resource Management (ARM)

Summary

This chapter contains sections titled:

  • Prediction and monitoring

  • Constructing the models

  • Updating belief: Bayes' Theorem

  • Adaptive management

  • The value of information

  • Summary