• Bellman, R.E. (1957) Dynamic Programming. Princeton University Press, Princeton, New Jersey.
  • Bogich, T.L. & Shea, K. (2008) A state-dependent model for the optimal management of an invasive metapopulation. Ecological Applications, 18, 748761.
  • Bogich, T.L. & Shea, K. (2011) A state-dependent model for the optimal management of an invasive metapopulation: erratum. Ecological Applications, 21, 1886.
  • Buckley, F.M. & Pollett, P.K. (2010) Analytical methods for a stochastic mainland-island metapopulation model. Ecological Modelling, 221(21), 25262530.
  • Butler, K. & Stephens, M. (1993) The Distribution of the Sum of Binomial Random Variables. Technical Report 467. Department of Statistics, Stanford University, Stanford, California.
  • Clark, C.W. & Rosenzweig, M.L. (1994) Extinction and colonization processes: parameter estimates from sporadic surveys. American Naturalist, 143, 583596.
  • Frank, K. & Wissel, C. (1998) Spatial aspects of metapopulation survival – from model results to rules of thumb for landscape management. Landscape Ecology, 13, 363379.
  • Getz, W.M. & Haight, R.G. (1989) Population Harvesting: Demographic Models of Fish, Forest, and Animal Resources. Princeton University Press, Princeton, New Jersey.
  • Greselin, F. (2003) Counting and enumerating frequency tables with given margins. Statistica & Applicazioni, I(2), 87104.
  • Hansi, I. (1999) Metapopulation Ecology. Oxford University Press, Oxford.
  • Hill, M.F. & Caswell, H. (2001) The effects of habitat destruction in finite landscapes: a chain-binomial metapopulation model. Oikos, 93, 321331.
  • Hull, J.C. (2000) Options, Futures and Other Derivative Securities, 4th edn. Prentice Hall, Englewood Cliffs, New Jersey.
  • Johnson, F.A., Breininger, D.R., Duncan, B.W., Nichols, J.D., Runge, M.C. & Williams, B.K. (2011) A Markov decision process for managing habitat for Florida Scrub-Jays. Journal of Fish and Wildlife Management , 2, 234246.
  • Lubow, B.C. (1995) SDP: generalized software for solving stochastic dynamic optimization problems. Wildlife Society Bulletin, 23, 738742.
  • Martin, J., Fackler, P.L., Nichols, J.D., Runge, M.C., McIntyre, C.L., Lubow, B.L., McCluskie, M.C. & Schmutz, J.A. (2011) An adaptive-management framework for optimal control of hiking near golden eagle nests in Denali National Park. Conservation Biology, 25(2), 316323.
  • Miranda, M.J. & Fackler, P.L. (2002) Applied Computational Economics and Finance. MIT Press, Cambridge, Massachusetts.
  • Nicol, S.C. & Possingham, H.P. (2010) Should metapopulation restoration strategies increase patch area or number of patches? Ecological Applications, 20(2), 566581.
  • Perry, G.L.W. & Enright, N.J. (2007) Contrasting outcomes of spatially implicit and spatially explicit models of vegetation dynamics in a forest-shrubland mosaic. Ecological Modelling, 207, 327338.
  • Possingham, H.P. (1996). Decision theory and biodiversity management: how to manage a metapopulation. Frontiers of Population Ecology (eds R.B. Floyd, A.W. Sheppard & P.J. De Barro), pp. 391398. CSIRO, Melbourne.
  • Richards, S.A., Possingham, H.P. & Tizard, J. (1999) Optimal fire management for maintaining habitat diversity. Ecological Applications, 9, 880892.
  • Shea, K. & Possingham, H.P. (2000) Optimal release strategies for biological control agents: an application of stochastic dynamic programming to population management. Journal of Applied Ecology, 37 (1), 7786.
  • Verbeek, A. & Kroonenberg, P.M. (1985) A survey of algorithms for exact distributions of test statistics in r x c contingency tables with fixed margins. Computational Statistics & Data Analysis, 3, 159185.
  • Williams, B.K., Nichols, J.D. & Conroy, M.J. (2001) Analysis and Management of Animal Populations. Academic Press, San Diego, California.