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FISH 558: Decision Analysis in Natural Resource Management
(Recommended Readings)
  1. Brandon, J.R. and P.R. Wade. 2006. J. Cet. Res. Manage. 8: 225-239
  2. Brooks, S. and A. Gelman. 1998. J. Comp. Graph. Statist. 7: 434-455.
  3. Butterworth, D.S. 2007. ICES J. Mar. Sci. 64: 613-617.
  4. Butterworth, D.S., Punt, A.E. 1999. ICES J. Mar. Sci. 56: 985-998.
  5. Burgman, M.A., Ferson, S., Akçakaya, H.R. 1994. Risk Assessment in Conservation Biology, Chapman & Hall.
  6. Burnham, K.P., Anderson, D.R. 1998. Model Selection and Inference: A Practical Information-Theoretic Approach. Springer.
  7. Butterworth, D.S., Cochrane, K.L. and J.A.A. De Oliveria. 1997. pp. 83-90. In:  E.K. Pikitch, D.D. Huppert and M.P. Sissenwine [Ed.] Global Trends: Fisheries Management. American Fisheries Society Symposium 20.
  8. Caddy, J. F., and Mahon, R. 1995. FAO Fish. Tech. Pap. 347.
  9. Cochrane, K.L., Butterworth, D.S., De Oliveria, J.A.A. and B.A. Roe. 1998. Rev. Fish. Biol. Fish. 8: 177-214.
  10. De Oliveira, J.A.A., and D.S. Butterworth. 2004. ICES J. Mar. Sci. 61: 1432-1442.
  11. Dichmont, C.M., Deng, R., et al. 2008. Fish. Res. 94: 238-250.
  12. Doak, D. 1989. Cons. Biol. 3: 389-396.
  13. Dorn, M.W. 2002. N. Am. J. Fish. Manage. 22: 280-300.
  14. Ellison, A.M. 2004.Ecology letters 7: 509-520.
  15. Francis, R.I.C.C. and R. Shotton. 1997. “Risk” in fisheries management: A review. Can. J. Fish. Aquat. Sci. 54: 1699-1715.
  16. Gelman, A. and D.B. Rubin. 1992. Statistic Sci. 7: 457-511.
  17. Gelman, A., Carlin, J.B., Stern, H.S. and D.B. Rubin. 1995. Bayesian Data Analysis. Chapman and Hall.
  18. Gerrodette, T. 2001. Mar. Ecol. 32: 404-418.
  19. Geweke, J. 1992. pp. 169-93. In: J.M. Bernardo, J. Berger, A.P. Dawid and A.F.M. Smith [Ed.] Bayesian Statistics 4.Oxford University Press, Oxford.
  20. Hamel, O.S. 2005. Status and Future Prospects for the Pacific Ocean Perch Resource in Waters off Washington and Oregon as Assessed in 2005.
  21. Harley, S.J., Myers, R.A. and A. Dunn. 2001. Can. J. Fish. Aquat. Sci. 58: 1760-1772.
  22. Helser, T.E. and H-L. Lai. 2004. Ecol. Model. 178: 399-416.
  23. Hilborn, R, and M. Liermann. 1998. Standing on the shoulders of giants: learning from experience in fisheries. Rev. Fish. Biol. Fish. 8: 273-283.
  24. Hilborn, R., Mangel, M. 1997. The Ecological Detective. Princeton (Link to Errata)
  25. Hilborn, R., Walters, C.J. 1992. Quantitative Fisheries Stock Assessment. Chapman and Hall.
  26. Kass, R.E. and A.E. Raftery. 1995. J. Am. Statist. Assoc. 90:773-795.
  27. Lahaye, W.S., Gutierrez, R.J. and H.R. Akcakaya. 1995. J. Am. Ecol. 63: 775-785.
  28. Liermann, M. and R. Hilborn. 1997. Can. J. Fish. Aquat. Sci. 54: 1976-1984.
  29. Maunder, M.N., Starr, P.J. and R. Hilborn. 2000. Mar. Mamm. Sci. 16: 413-426.
  30. Miller, R.B. and R.D. Methot. 2002. Can. J. Fish. Aquat. Sci. 59: 383-392.
  31. Myers, R.A., Bowen, K.G. and N.J. Barrowman. 1999. Can. J. Fish. Aquat. Sci. 56: 2404-2419.
  32. Myers, R.A. 2001. ICES J. Mar. Sci. 58: 937-951.
  33. Poole, D., Givens, G.H. and A.E. Raftery. 1999. Fish. Bull US. 97:144-152.
  34. Punt, A.E., and D.S. Butterworth. 1995. S. Afr.. J. Mar. Sci. 16: 255-285.
  35. Punt, A.E. and G.D. Donovan. 2007. ICES J. Mar. Sci. 64: 603-612.
  36. Punt, A.E. and R. Hilborn. 1997. Rev. Fish. Biol. Fish. 7: 35-63.
  37. Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T. 1988. Numerical Recipes: The Art of Scientific Computing, Cambridge.
  38. Raftery, A.E., Givens, G.H. and J.E. Zeh. 1995. J. Am. Statist. Assoc. 93:451-463.
  39. Quinn, T.J., Deriso, R.B. 1999. Quantitative Fish Dynamics. Oxford.
  40. Raiffa, H. 1968.  Decision Analysis.  Addison-Wesley.
  41. Roff, D.A. 2006. Introduction to Computer-intensive methods of Data Analysis in Biology. Cambridge University Press.
  42. Sainsbury, K.A., Campbell, R.A., Lindholm, R. and W. Whitelaw. 1997. ICES Mar Sci. Symp. 20: 107-112.
  43. Sainsbury, K.J., Punt, A.E. and A.D.M. Smith 2000. ICES J. Mar. Sci. 57: 731-741.
  44. Smith, A.D.M., Sainsbury, K.J. and R.A. Stevens, R. A. 1999. ICES J. Mar. Sci. 56: 967-79.
  45. Spiegelhalter, D.J., Best, N.G., Gilks, W.R. and H. Inskip. 1996. Hepatitus B: a case study in MCMC methods. pp. 21-43. In: W.R. Gilks, S. Richardson and D.J. Spiegelhalter [Ed.] Markov Chain Monte Carlo in Practice. Chapman and Hall, London.
  46. Spiegelhalter, D.J., Best, N.G., Carlin, B.P. and A. van der Linde. 2002. J. Roy. Statist. Soc. B. 64:583–639.
  47. Wade, P.R. The conservation of exploited species in an uncertain
    world: Novel methods and the failure of traditional techniques. In
    Reynolds, J. D., Mace, G. M., Redford, K. H., and Robinson, J. G. (eds), Conservation of exploited species (pp.110–143). Cambridge, UK: Cambridge University Press.
  48. Walters and Ludwig 1994. Can. J. Fish. Aquat. Sci. 51: 713-722
   
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