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  • Akçakaya, H.R. & Ferson, S. (2007) RAMAS Red List: Spatial and Temporal Data Analysis for Threatened Species Classifications under Uncertainty (Version 3.0 Professional). Applied Biomathematics, Setauket, New York.
  • Akçakaya, H.R., Ferson, S., Burgman, M.A., Keith, D.A., Mace, G.M. & Todd, C.R. (2000) Making consistent IUCN classifications under uncertainty. Conservation Biology, 14, 10011013.
  • Alge, B.J., Wiethoff, C. & Klein, H.J. (2003) When does the medium matter? Knowledge-building experiences and opportunities in decision-making teams. Organizational Behavior and Human Decision Processes, 91, 2637.
  • Arkes, H.R., Christensen, C., Lai, C. & Blumer, C. (1987) Two methods of reducing overconfidence. Organizational Behavior and Human Decision Processes, 39, 133144.
  • Aspinall, W. (2010) A route to more tractable expert advice. Nature, 463, 294295.
  • Aubert, B.A. & Kelsey, B.L. (2003) Further understanding of trust and performance in virtual teams. Small Group Research, 34, 575618.
  • Baltes, B.B., Dickson, M.W., Sherman, M.P., Bauer, C.C. & LaGanke, J.S. (2002) Computer-mediated communication and group decision making: a meta-analysis. Organizational Behavior and Human Decision Processes, 87, 156179.
  • Bedford, T. & Cooke, R.M. (2001) Mathematical Tools for Probabilistic Risk Analysis. Cambridge University Press, Cambridge.
  • Bolger, F., Stranieri, A., Wright, G. & Yearwood, J. (2011) Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters? Technological Forecasting and Social Change, 78, 16711680.
  • Burgman, M., Carr, A., Godden, L., Gregory, R., McBride, M., Flander, L. & Maguire, L. (2011a) Redefining expertise and improving ecological judgment. Conservation Letters, 4, 8187.
  • Burgman, M.A., McBride, M., Ashton, R., Speirs-Bridge, A., Flander, L., Wintle, B., Fidler, F., Rumpff, L. & Twardy, C. (2011b) Expert status and performance. PLoS One, 6, e22998.
  • Butchart, S.H.M., Walpole, M., Collen, B., van Strien, A., Scharlemann, J.P.W., Almond, R.E.A., Baillie, J.E.M., Bomhard, B., Brown, C., Bruno, J., Carpenter, K.E., Carr, G.M., Chanson, J., Chenery, A.M., Csirke, J., Davidson, N.C., Dentener, F., Foster, M., Galli, A., Galloway, J.N., Genovesi, P., Gregory, R.D., Hockings, M., Kapos, V., Lamarque, J.-F., Leverington, F., Loh, J., McGeoch, M.A., McRae, L., Minasyan, A., Morcillo, M.H., Oldfield, T.E.E., Pauly, D., Quader, S., Revenga, C., Sauer, J.R., Skolnik, B., Spear, D., Stanwell-Smith, D., Stuart, S.N., Symes, A., Tierney, M., Tyrrell, T.D., Vié, J.-C. & Watson, R. (2010) Global biodiversity: indicators of recent declines. Science, 328, 11641168.
  • Choy, S.L., O’Leary, R. & Mengersen, K. (2009) Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology, 90, 265277.
  • Clemen, R.T. & Reilly, T. (2001) Making Hard Decisions with Decision Tools. Duxbury Press, Pacific Grove.
  • Clemen, R.T. & Winkler, R.L. (1999) Combining probability distributions from experts in risk analysis. Risk Analysis, 19, 187203.
  • Cooke, R.M. (1991) Experts in Uncertainty: Opinion and Subjective Probability in Science. Oxford University Press, New York, New York.
  • Cooper, W.H. (1981) Ubiquitous halo. Psychological Bulletin, 90, 218244.
  • Crance, J.H.B.R. (1987) Guidelines for using the Delphi technique to develop habitat suitability index curves. Biol. Rep., pp. 21. U. S. Fish & Wildlife Service.
  • Czembor, C.A. & Vesk, P.A. (2009) Incorporating between-expert uncertainty into state-and-transition simulation models for forest restoration. Forest Ecology and Management, 259, 165175.
  • Dalal, S., Khodyakov, D., Srinivasan, R., Straus, S. & Adams, J. (2011) ExpertLens: a system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge. Technological Forecasting and Social Change, 78, 14261444.
  • Dalkey, N.C. (1975) Towards a theory of group estimation. The Delphi Method: Techniques and Applications (eds H. Linstone & M. Turoff), pp. 231256. Addison-Wesley, London.
  • Dalkey, N. & Helmer, O. (1963) An experimental application of the Delphi method to the use of experts. Management Science, 9, 458467.
  • Delbecq, A.L., Van de Ven, A.H. & Gustafson, D.H. (1975) Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Processes. Scott, Foresman and Company, Glenview, Illinois.
  • Dennis, A.R. & Valacich, J.S. (1999) Rethinking media richness: towards a theory of media synchronicity. Proceedings of the 32nd Hawaii international Conferenvce on System Sciences- 1999, 10 IEEE, 10 pp.
  • Donlan, C.J., Wingfield, D.K., Crowder, L.B. & Wilcox, C. (2010) Using expert opinion surveys to rank threats to endangered species: a case study with sea turtles. Conservation Biology, 24, 15861595.
  • Epley, N. & Gilovich, T. (2005) When effortful thinking influences judgmental anchoring. Journal of Behavioral Decision Making, 18, 199212.
  • Epley, N. & Gilovich, T. (2006) The anchoring-and-adjustment heuristic. Psychological Science, 17, 311318.
    Direct Link:
  • Eycott, A.E., Marzano, M. & Watts, K. (2011) Filling evidence gaps with expert opinion: the use of Delphi analysis in least-cost modelling of functional connectivity. Landscape and Urban Planning, 013, 400409.
  • Fazey, I., Fazey, J.A., Salisbury, J.G., Lindenmayer, D.B. & Dovers, S. (2006) The nature and role of experiential knowledge for environmental conservation. Environmental Conservation, 33, 110.
  • Ferran, C. & Watts, S. (2008) Videoconferencing in the field: a heuristic processing model. Management Science, 54, 15651578.
  • Fischhoff, B. (1982) Debiasing. Judgment Under Uncertainty: Heuristics and Biases (eds D. Kahneman, P. Slovic & A. Tversky), pp. 422444. Cambridge University Press, Cambridge.
  • Fischhoff, B., Slovic, P. & Lichtenstein, S. (1982) Lay foibles and expert fables in judgments about risk. American Statistician, 36, 240255.
  • Garnett, S.T. (1992) The Action Plan for Australian Birds. ANPWS, Canberra, ACT.
  • Garnett, S.T. & Crowley, G.M. (2000) The Action Plan for Australian Birds. Environment Australia, Canberra, ACT.
  • Gigerenzer, G. & Hoffrage, U. (1995) How to improve Bayesian reasoning without instruction: frequency formats. Psychological Review, 102, 684704.
  • Gilovich, T., Griffin, D. & Kahneman, D. (2002) Heuristics and Biases: The Psychology of Intuitive Judgement. Cambridge University Press, Cambridge.
  • Gordon, T.J. & Pease, A. (2006) RT Delphi: an efficient, “round-less”, almost real time Delphi method. Technological Forecasting and Social Change, 73, 321333.
  • Han, H.J., Hiltz, S.R., Fjermestad, J. & Wang, Y. (2011) Does medium matter? A comparison of initial meeting modes for virtual teams. IEEE Transactions on Professional Communication, 54, 376391.
  • Hiltz, S.R., Johnson, K. & Turoff, M. (1986) Experiments in group decision-making: communication process and outcome in face-to-face versus computerized conferences. Human Communication Research, 13, 225252.
  • Hinds, P.J. & Bailey, D.E. (2003) Out of sight, out of sync: understanding conflict in distributed teams. Organization Science, 14, 615632.
  • Hollingshead, A.B. (1996) Information suppression and status persistence in group decision making. Human Communication Research, 23, 193219.
  • Isenberg, D.J. (1986) Group polarization: a critical review and meta-analysis. Journal of Personality and Social Psychology, 50, 11411151.
  • IUCN (2001) IUCN Red List categories and criteria. Version 3.1. IUCN Species Survival Commission, Gland, Switzerland and Cambridge, United Kingdom. ii + 30 pp.
  • IUCN Standards and Petitions Subcommittee (2010) Guidelines for using the IUCN Red List categories and criteria. Version 8.1 Prepared by the Standards and Petitions Subcommittee in March 2010.
  • Jacowitz, K.E. & Kahneman, D. (1995) Measures of anchoring in estimation tasks. Personality and Social Psychology Bulletin, 21, 1161.
  • Janis, I.L. (1972) Groupthink. Psychology Today, 5, 43???.
  • Jarvenpaa, S.L. & Leidner, D.E. (1999) Communication and trust in global virtual teams. Organization Science, 10, 791815.
  • Jenkinson, D. (2005) The elicitation of probabilities: a review of the statistical literature. Technical Report. University of Sheffield, Sheffield.
  • Kahan, D. (2010) Fixing the communications failure. Nature, 463, 296297.
  • Kahneman, D. & Tversky, A. (1982) Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press, Cambridge.
  • Kaufmann, A. & Gupta, M.M. (1985) Introduction to Fuzzy Arithmetic: Theory and Applications. Van Nostrand Reinhold, New York, New York.
  • Keeney, R.L. & Von Winterfeldt, D. (1991) Eliciting probabilites from experts in complex technical problems. IEEE Transactions on Engineering Management, 38, 191201.
  • Keith, D.W. (1996) When is it appropriate to combine expert judgments? Climatic Change, 33, 139143.
  • Keith, D.A., McCarthy, M.A., Regan, H., Regan, T., Bowles, C., Drill, C., Craig, C., Pellow, B., Burgman, M.A., Master, L.L., Ruckelshaus, M., Mackenzie, B., Andelman, S.J. & Wade, P.R. (2004) Protocols for listing threatened species can forecast extinction. Ecology Letters, 7, 11011108.
  • Kerr, N.L. & Tindale, R.S. (2004) Group performance and decision making. Annual Review of Psychology, 55, 623655.
  • Kerr, N.L. & Tindale, R.S. (2011) Group-based forecasting?: a social psychological analysis. International Journal of Forecasting, 27, 1440.
  • Kirkman, B.L. & Mathieu, J.E. (2005) The dimensions and antecedents of team virtuality. Journal of Management, 31, 700718.
  • Koehler, J.J. (1993) The influence of prior beliefs on scientific judgments of evidence quality. Organizational Behavior and Human Decision Processes, 56, 2855.
  • Krinitzsky, E.L. (1993) Earthquake probability in engineering – part 1: the use and misuse of expert opinion. Engineering Geology, 33, 257288.
  • Kuhnert, P.M. (2011) Four case studies in using expert opinion to inform priors. Environmetrics, 22, 662674.
  • Kuhnert, P.M., Martin, T.G. & Griffiths, S.P. (2010) A guide to eliciting and using expert knowledge in Bayesian ecological models. Ecology Letters, 13, 900914.
  • Larrick, R.P. (2004) Debiasing. Blackwell Handbook of Judgment and Decision Making (eds D.J. Koehler & N.J. Harvey), pp. 316338. Wiley-Blackwell, Oxford.
  • Levin, I.P., Schneider, S.L. & Gaeth, G.J. (1998) All frames are not created equal: a typology and critical analysis of framing effects. Organizational Behavior and Human Decision Processes, 76, 149188.
  • Lichtenstein, S., Fischhoff, B. & Phillips, L.D. (1982) Calibration of probabilities: the state of the art to 1980. Judgment Under Uncertainty: Heuristics and Biases (eds D. Kahneman & A. Tversky), pp. 306334. Cambridge University Press, Cambridge.
  • Lichtenstein, S., Slovic, P., Fischhoff, B., Layman, M. & Combs, B. (1978) Judged frequency of lethal events. Journal of Experimental Psychology-Human Learning and Memory, 4, 551578.
  • Lin, S.W. & Bier, V.M. (2008) A study of expert overconfidence. Reliability Engineering & System Safety, 93, 711721.
  • Linstone, H.A. & Turoff, M. (1975) The Delphi Method: Techniques and Applications. Adison-Wesley, Reading.
  • Linstone, H.A. & Turoff, M. (2011) Delphi: a brief look backward and forward. Technological Forecasting and Social Change, 78, 17121171.
  • Lipnack, J. & Stamps, J. (1997) Virtual Teams: Reaching Across Space, Time and Organizations with Technology. Wiley, New York, New York.
  • Lord, C.G., Ross, L. & Lepper, M.R. (1979) Biased assimilation and attitude polarization: effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37, 20982109.
  • Lukey, J.R., Crawford, S.S. & Gillis, D. (2010) Effect of information availability on assessment and designation of species at risk. Conservation Biology, 24, 13981406.
  • Mace, G.M., Collar, N.J., Gaston, K.J., Hilton-Taylor, C., Akcakaya, H.R., Leader-Williams, N., Milner-Gulland, E.J. & Stuart, S.N. (2008) Quantification of extinction risk: IUCN’s system for classifying threatened species. Conservation Biology, 22, 14241442.
  • MacMillan, D.C. & Marshall, K. (2006) The Delphi process: an expert-based approach to ecological modelling in data-poor environments. Animal Conservation, 9, 1119.
  • Maier, N.R.F. & Hoffman, L.R. (1960) Using trained developmental leaders to improve further the quality of group decisions. Journal of Applied Psychology, 44, 247251.
  • Martin, T.G., Burgman, M.A., Fidler, F., Kuhnert, P.M., Low-Choy, S., McBride, M. & Mengersen, K. (2012) Eliciting expert knowledge in conservation science. Conservation Biology, 26, 2938.
  • Martins, L.L., Gilson, L.L. & Maynard, M.T. (2004) Virtual teams: what do we know and where do we go from here? Journal of Management, 30, 805835.
  • Maruping, L.M. & Agarwal, R. (2004) Managing team interpersonal processes through technology: a task-technology fit perspective. Journal of Applied Psychology, 89, 975990.
  • Mesmer-Magnus, J.R., DeChurch, L.A., Jimenez-Rodriguez, M., Wildman, J. & Shuffler, M. (2011) A meta-analytic investigation of virtuality and information sharing in teams. Organizational Behavior and Human Decision Processes, 115, 214225.
  • Meyer, M. & Booker, J. (1991) Eliciting and Analyzing Expert Judgment: A Practical Guide. Academic Press, New York, New York.
  • Moore, D.A. & Healy, P.J. (2008) The trouble with overconfidence. Psychological Review, 115, 502517.
  • Morgan, M.G. & Henrion, M. (1990) Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge University Press, New York, New York.
  • Murphy, K.R., Jako, R.A. & Anhalt, R.L. (1993) Nature and consequences of halo error: a critical analysis. Journal of Applied Psychology, 78, 218225.
  • Murray, J.V., Goldizen, A.W., O’Leary, R.A., McAlpine, C.A., Possingham, H.P. & Choy, S.L. (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. Journal of Applied Ecology, 46, 842851.
  • Mussweiler, T. & Strack, F. (2000) Numeric judgments under uncertainty: the role of knowledge in anchoring. Journal of Experimental Social Psychology, 36, 495518.
  • Myers, D.G. & Lamm, H. (1976) The group polarization phenomenon. Psychological Bulletin, 83, 602627.
  • Newton, A.C. & Oldfield, S. (2008) Red Listing the world’s tree species: a review of recent progress. Endangered Species Research, 6, 137147.
  • Nisbett, R.E. & Wilson, T.D. (1977) Halo effect: evidence for unconscious alteration of judgments. Journal of Personality and Social Psychology, 35, 250256.
  • O’Brien, M. (2000) Making Better Environmental Decisions: An Alternative to Risk Assessment. MIT Press, Cambridge, Massachusetts.
  • O’Hagan, A. (2006) Uncertain Judgements: Eliciting Experts’ Probabilities. Wiley, Chichester.
  • O’Leary, R.A., Choy, S.L., Murray, J.V., Kynn, M., Denham, R., Martin, T.G. & Mengersen, K. (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’Neill, S.J., Osborn, T.J., Hulme, M., Lorenzoni, I. & Watkinson, A.R. (2008) Using expert knowledge to assess uncertainties in future polar bear populations under climate change. Journal of Applied Ecology, 45, 16491659.
  • Perera, A.J., Johnson, C.J. & Drew, C.A. (2011) Expert Knowledge and Its Application in Landscape Ecology. Springer-Verlag, New York, New York.
  • Regan, H.M., Colyvan, M. & Burgman, M.A. (2002) A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications, 12, 618628.
  • Regan, T.J., Burgman, M.A., McCarthy, M.A., Master, L.L., Keith, D.A., Mace, G.M. & Andelman, S.J. (2005) The consistency of extinction risk classification protocols. Conservation Biology, 19, 19691977.
  • Rhoads, M. (2010) Face-to-face and computer-mediated communication: what does theory tell us and what have we learned so far? Journal of Planning Literature, 25, 111122.
  • Rothlisberger, J.D., Lodge, D.M., Cooke, R.M. & Finnoff, D.C. (2010) Future declines of the binational Laurentian Great Lakes fisheries: the importance of environmental and cultural change. Frontiers in Ecology and the Environment, 8, 239244.
  • Rowe, G. & Wright, G. (1999) The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15, 353375.
  • Rowe, G. & Wright, G. (2001) Expert opinions in forecasting: the role of the Delphi technique. Principles of Forecasting: A Handbook for Researchers and Practitioners (ed J.S. Armstrong), pp. 125144. Kluwer Academic Publishers, Norwell, Massachusetts.
  • Rowe, G., Wright, G. & McColl, A. (2005) Judgment change during Delphi-like procedures: the role of majority influence, expertise, and confidence. Technological Forecasting and Social Change, 72, 377399.
  • Russo, J.E. & Schoemaker, P.J.H. (1992) Managing overconfidence. Sloan Management Review, 33, 717.
  • Schwarz, N. & Vaughn, L.A. (2002) The availability heuristic revisted: ease of recall and content of recall as distinct sources of information. Heuristics and Biases: The Psychology of Intuitive Judgement (eds T. Gilovich, D. Griffin & D. Kahneman), pp. 103119. Cambridge University Press, New York.
  • Shrader-Frechette, K. (1996) Value judgments in verifying and validating risk assessment models. Handbook for Environmental Risk Decision Making: Values, Perception and Ethics (ed. C.R. Cothern), pp. 291309. CRC Lewis Publishers, Boca Raton, Florida.
  • Slovic, P. (1999) Trust, emotion, sex, politics and science: surveying the risk-assessment battlefield. Risk Analysis, 19, 689701.
  • Soll, J.B. & Klayman, J. (2004) Overconfidence in interval estimates. Journal of Experimental Psychology: Learning, Memory and Cognition, 30, 299314.
  • Speirs-Bridge, A., Fidler, F., McBride, M., Flander, L., Cumming, G. & Burgman, M. (2010) Reducing overconfidence in the interval judgments of experts. Risk Analysis, 30, 512523.
  • Spetzler, C.S. & Stael von Holstein, C.A.S. (1975) Probability encoding in decision analysis. Management Science, 22, 340358.
  • Stewart, R.T. (2001) Improving reliability of judgmental forecasts. Principles of Forecasting: A Handbook for Researchers and Practitioners (ed. J.S. Armstrong), pp. 753770. Kluwer Academic Publishers, Norwell, Massachusetts.
  • Straus, S.G. (1996) Getting a clue: the effects of communication media and information distribution on participation and performance in computer-mediated and face-to-face groups. Small Group Research, 27, 115142.
  • Sunstein, C.R. (2000) Deliberative trouble? Why groups go to extremes. The Yale Law Journal, 110, 71119.
  • Sutherland, W.J. (2006) Predicting the ecological consequences of environmental change: a review of the methods. Journal of Applied Ecology, 43, 599616.
  • Teck, S.J., Halpern, B.S., Kappel, C.V., Micheli, F., Selkoe, K.A., Crain, C.M., Martone, R., Shearer, C., Arvai, J., Fischhoff, B., Murray, G., Neslo, R. & Cooke, R. (2010) Using expert judgment to estimate marine ecosystem vulnerability in the California Current. Ecological Applications, 20, 14021416.
  • Thompson, L.F. & Coovert, M.D. (2003) Teamwork online: the effects of computer conferencing on perceived confusion, satisfaction and postdiscussion accuracy. Group Dynamics: Theory, Research, and Practice, 7, 135.
  • Titus, J.G. & Narayanan, V. (1996) The risk of sea level rise. Climatic Change, 33, 151212.
  • Tulloch, A., Possingham, H.P. & Wilson, K. (2011) Wise selection of an indicator for monitoring the success of management actions. Biological Conservation, 144, 141154.
  • Turoff, M. (1972) Delphi conferencing: computer-based conferencing with anonymity. Technological Forecasting and Social Change, 3, 159204.
  • Turoff, M. & Hiltz, S. (1982) Computer support for group versus individual decisions. IEEE Transactions on Professional Communication, 30, 8291.
  • Tversky, A. & Kahneman, D. (1973) Availability: a heuristic for judging frequency and probability. Cognitive Psychology, 5, 207232.
  • Tversky, A. & Kahneman, D. (1974) Judgment under uncertainty: heuristics and biases. Science, 185, 11241131.
  • United Nations (2011) Millennium Development Goals 2011 Report. United Nations, New York, New York.
  • Van Leekwijck, W. & Kerre, E.E. (1999) Defuzzification: criteria and classification. Fuzzy Sets and Systems, 108, 159178.
  • White, P.C.L., Jennings, N.V., Renwick, A.R. & Barker, N.H.L. (2005) Questionnaires in ecology: a review of past use and recommendations for best practice. Journal of Applied Ecology, 42, 421430.
  • Wilson, A.G. (1994) Cognitive factors affecting subjective probability assessment. ISDS Discussion Paper Institute of Statistics and Decision Sciences, Duke University.
  • Yager, R.R. & Filev, D. (1993) On the issue of defuzzification and selection based on a fuzzy set. Fuzzy Sets and Systems, 55, 255271.
  • Yaniv, I. (2004) Receiving other people’s advice: influence and benefit. Organizational Behavior and Human Decision Processes, 93, 113.
  • Yaniv, I. & Kleinberger, E. (2000) Advice taking in decision making: egocentric discounting and reputation formation. Organizational Behavior and Human Decision Processes, 83, 260281.
  • Zimmermann, H.J. (2001) Fuzzy Set Theory – and Its Applications, 4th edn. Kluwer Academic Publishers, Norwell, Massachusetts.