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Beyond stochastic dynamic programming: a heuristic sampling method for optimizing conservation decisions in very large state spaces
Article first published online: 21 OCT 2010
© 2010 The Authors. Methods in Ecology and Evolution © 2010 British Ecological Society
Methods in Ecology and Evolution
Volume 2, Issue 2, pages 221–228, April 2011
How to Cite
Nicol, S. and Chadès, I. (2011), Beyond stochastic dynamic programming: a heuristic sampling method for optimizing conservation decisions in very large state spaces. Methods in Ecology and Evolution, 2: 221–228. doi: 10.1111/j.2041-210X.2010.00069.x
- Issue published online: 1 APR 2011
- Article first published online: 21 OCT 2010
- Received 12 May 2010; accepted 2 September 2010 Handling Editor: Robert P. Freckleton
Appendix S1. Obtaining viable management options and deriving the transition matrix for the conservation of the Bakara malleefowl.
Appendix S2. A population viability analysis for the effects of predation on the malleefowl.
Appendix S3. Supplementary information on Péret and Garcia’s heuristic sampling algorithm.
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