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References

  • Appeltans, W., S. T. Ahyong, G. Anderson, M. V. Angel, T. Artois, N. Bailly, et al. 2012. The magnitude of global marine species diversity. Curr. Biol. 22:21892202.
  • Ayyub, B. M. 2001. Elicitation of expert opinions for uncertainty and risks. CRC Press, Boca Raton, FL.
  • Bebber, D. P., F. H. C. Marriott, K. J. Gaston, S. A. Harris, and R. W. Scotland. 2007. Predicting unknown species numbers using discovery curves. Proc. Biol. Sci. 274:16511658.
  • Bebber, D. P., M. A. Carine, G. Davidse, D. J. Harris, E. M. Haston, M. G. Penn, et al. 2012. Big hitting collectors make massive and disproportionate contribution to the discovery of plant species. Proc. Biol. Sci. 279:22692274.
  • Burgman, M., A. Carr, L. Godden, R. Gregory, M. McBride, L. Flander, et al. 2011. Redefining expertise and improving ecological judgement. Conser. Lett. 4:8187.
  • Campbell, L. M. 2002. Science and sustainable use: views of marine turtle conservation experts. Ecol. Appl. 12:12291246.
  • Coffey, J. W., R. R. Hoffman, A. J. Cañas, and K. M. Ford. 2002. Concept map-based knowledge modeling approach to expert knowledge sharing. IASTED International conference on information and knowledge sharing, Pp. 212217. ACTA Press, St. Johns, Virgin Islands.
  • Costello, M. J., R. M. May, and N. E. Stork. 2013. Can we name Earth's species before they go extinct? Science 339:413416.
  • Cowell, R., A. Dawid, S. Lauritzen, and D. Spiegelhalter. 1999. Probabilistic networks and expert systems. Springer, New York, NY.
  • Cox, D. R. 2000. Comments on paper by Lindley. Statistician 49:321324.
  • Drescher, M., L. J. Buse, A. H. Perera, and M. R. Ouellette. 2012. Eliciting expert knowledge of forest succession using an innovative software tool. Pp. 6986 in A. H. Perera, C. A. Drew and C. J. Johnson, eds. Expert knowledge and its application in landscape ecology. Springer, New York, NY.
  • EUCERD. European Committee of Experts on Rare Diseases. Available at http://www.eucerd.eu/
  • Fisher, R., R. A. O'Leary, S. Low-Choy, K. Mengersen, and M. J. Caley. 2012. A software tool for elicitation of expert knowledge about species richness or similar counts. Environ. Model. Softw. 30:114.
  • Franke, U., P. Johnson, J. Konig, and L. M. von Wurtemberg. 2012. Availability of enterprise IT systems: an expert-based Bayesian framework. Softw. Qual. J. 20:369394.
  • Hamilton, G., F. Fielding, A. Chiffings, B. Hart, R. Johnstone, and K. Mengersen. 2007. Investigating the use of a Bayesian network to model the risk of Lyngbya majuscule bloom initiation in Deception Bay, Queensland. Hum. Ecol. Risk Assess. 13:12711287.
  • Hamilton, A., V. Novotny, E. Waters, Y. Basset, K. Benke, P. Grimbacher, et al. 2013. Estimating global arthropod species richness: refining probabilistic models using probability bounds analysis. Oecologia (Berl.) 171:357365.
  • Hoelzer, K., H. F. Oliver, L. R. Kohl, J. Hollingsworth, M. T. Wells, and M. Wiedmann. 2012. Structured expert elicitation about Listeria monocytogenes cross-contamination in the environment of retail deli operations in the United States. Risk Anal. 32:11391156.
  • James, A., S. Low Choy, and K. Mengersen. 2010. Elicitator: an expert elicitation tool for ecology. Environ. Model. Softw. 25:129145.
  • Jensen, F., and T. Nielsen. 2007. Bayesian networks and decision graphs, 2nd ed. Springer, Berlin.
  • Johnson, S., and K. Mengersen. 2012. Integrated Bayesian network framework for modeling complex ecological issues. Integr. Environ. Assess. Manag. 8:480490.
  • Johnson, S., K. Mengersen, A. De Waal, K. Marnewick, D. Cilliers, A. M. Houser, et al. 2010. Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle. Ecol. Model. 221:641651.
  • Johnson, S., E. Abal, K. Ahern, and G. Hamilton. 2013a. From science to management: using Bayesian networks to learn about Lyngbya. Stat. Sci., in press.
  • Johnson, S., L. Marker, K. Mengersen, C. H. Gordon, J. Melzheimer, A. Schmidt-Küntzel, et al. 2013b. Modeling the viability of the free-ranging cheetah population in Namibia: an object-oriented Bayesian network approach. Ecosphere 4:90.
  • Kendal, S. L., and M. Creen. 2007. An introduction to knowledge engineering. Springer, New York, NY.
  • Knol, A. B., P. Slottje, J. P. van der Sluijs, and E. Lebret. 2010. The use of expert elicitation in environmental health impact assessment: a seven step procedure. Environ. Health 9:19.
  • Knowlton, N., R. E. Brainard, R. Fisher, M. Moews, L. Plaisance, and M. J. Caley. 2010. Coral reef biodiversity. Pp. 6577 in A. D. McIntyre, ed. Life in the world's oceans. Blackwell, Chichester, UK.
  • Kuhnert, P. M., T. G. Martin, and S. P. Griffiths. 2010. A guide to eliciting and using expert knowledge in Bayesian ecological models. Ecol. Lett. 13:900914.
  • Loveridge, D. 2002. Discussion Paper Series: Experts and foresight: review and experience. Paper 02-09. Policy Research in Engineering, Science & Technology (PREST). Available at: http://www.mbs.ac.uk/Research/engineeringpolicy/publications/documents/PREST P02-09.PDF
  • Low Choy, S., A. James, J. Murray, and K. Mengersen. 2009. Elicitation by design for ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology 90:265277.
  • Low-Choy, S., A. James, J. Murray, and K. Mengersen. 2012. Elicitator: A user-friendly tool to support scenario-based elicitation of expert knowledge. Pp. 3967 in A. H. Perera, C. A. Drew and C. J. Johnson, eds. Expert knowledge and its application in landscape ecology. Springer, New York, NY.
  • MacMillan, D. C. and K. Marshall. 2006. The Delphi process – an expert-based approach to ecological modelling in data-poor environments. Anim. Conserv. 9:1119.
  • Martin, T. G., P. M. Kuhnert, K. Mengersen, and H. P. Possingham. 2005. The power of expert opinion in ecological models using Bayesian methods: impact of grazing on birds. Ecol. Appl. 15:266280.
  • Martin, T. G., M. A. Burgman, F. Fidler, P. M. Kuhnert, S. Low-Choy, M. McBride, et al. 2012. Eliciting expert knowledge in conservation science. Conserv. Biol. 26:2938.
  • McBride, M. F., F. Fidler, and M. A. Burgman. 2012. Evaluating the accuracy and calibration of expert predictions under uncertainty: predicting the outcomes of ecological research. Divers. Distrib. 18:782794.
  • Mora, C., D. P. Tittensor, S. Adl, A. G. B. Simpson, and B. Worm. 2011. How many species are there on Earth and in the ocean? PLoS Biol. 9:e1001127.
  • Murray, J. V., A. W. Goldizen, R. A. O'Leary, C. A. McAlpine, H. P. Possingham, and S. Low Choy. 2009. How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata. J. Appl. Ecol. 46:842851.
  • Oakley, J. E., and A. O'Hagan, 2010. SHELF: The Sheffield Elicitation Framework (Version 2.0). School of Mathematics and Statistics, University of Sheffield. Available at: http://www.tonyohagan.co.uk/shelf.
  • O'Hagan, A. 1998. Eliciting expert beliefs in substantial practical applications. The Statistician. 47:2135.
  • O'Hagan, A., C. E. Buck, A. Daneshkhah, R. Eiser, P. Garthwaite, D. Jenkinson, et al. 2006. Uncertain judgements – eliciting experts' probabilities. John Wiley & Sons, Chichester.
  • O'Leary, R. A., S. L. Choy, J. V. Murray, M. Kynn, R. Denham, T. G. Martin, et al. 2009. Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallaby Petrogale penicillata. Environmetrics 20:379398.
  • O'Leary, R. A., R. Fisher, S. Low Choy, K. Mengersen, and M. J. Caley. 2011. What is an expert? Pp. 21492155 in F. Chan, D. Marinova and R. S. Anderssen, eds. 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand. Perth. Available at http://www.mssanz.org.au/modsim2011/E9/oleary.pdf.
  • Pitchforth, J. and K. Mengersen. 2013. A proposed validation framework for expert elicited Bayesian Networks. Exp. Syst. Appl. 40:162167.
  • Plaisance, L., M. J. Caley, R. E. Brainard, and N. Knowlton. 2011. The diversity of coral reefs: what are we missing? PLoS One 6:e25026.
  • Refsgaard, J. C., J. P. Van der Sluijs, H. J. Højberg, and P. A. Vanrolleghem. 2007. Uncertainty in the environmental modeling process: A framework and guidance. Environ. Model. Softw. 22:15431556.
  • Risbey, J. S. 2008. Subjective elements in climate policy advice. Clim. Change 85:1117.
  • Risk Management Services. 2006. Hazard Risk and Vulnerability Assessment – City of Victoria. Technical Report. Emergex Planning Inc., Victoria.
  • Smith, C. S., A. L. Howes, B. Price, and C. A. McAlpine. 2007. Using a Bayesian belief network to predict suitable habitat of an endangered mammal -The Julia Creek dunnart (Sminthopsis douglasi). Biol. Conserv. 139:333347.
  • The Royal Society of Canada. 2004. The Canadian Academy of the Sciences and Humanities. Expert Panels: Manual of Procedures & Guidelines. The Royal Society of Canada, Ottawa.
  • Waterhouse, M. and S. Johnson. 2012. Tangled webs: using Bayesian networks in the fight against infection. Pp. 348360 in C. Alston, K. Mengersen and A. N. Pettitt, eds. Case studies in Bayesian statistical modelling and analysis. John Wiley & Sons, Chichester.
  • Yu, D. 2002. Modeling and measuring the effects of imprecision in accident management. Ann. Nucl. Energy 29:821833.