Eliciting Expert Knowledge in Conservation Science

作者: TARA G. MARTIN , MARK A. BURGMAN , FIONA FIDLER , PETRA M. KUHNERT , SAMANTHA LOW-CHOY

DOI: 10.1111/J.1523-1739.2011.01806.X

关键词:

摘要: Expert knowledge is used widely in the science and practice of conservation because complexity problems, relative lack data, imminent nature many decisions. substantive information on a particular topic that not known by others. An expert someone who holds this often deferred to its interpretation. We refer predictions experts what may happen context as judgments. In general, an expert-elicitation approach consists five steps: deciding how will be used, determining elicit, designing elicitation process, performing elicitation, translating elicited into quantitative statements can model or directly make This last step encoding. Some considerations eliciting include work with multiple combine judgments, minimizing bias information, verifying accuracy information. highlight structured techniques that, if adopted, improve content judgment ensure uncertainty captured accurately. suggest four aspects exercise examined determine comprehensiveness effectiveness: study design context, design, method, output. Just reliability empirical data depends rigor which it was acquired so too does knowledge.

参考文章(63)
M. Granger Morgan, Louis F. Pitelka, Elena Shevliakova, Elicitation of Expert Judgments of Climate Change Impacts on Forest Ecosystems Climatic Change. ,vol. 49, pp. 279- 307 ,(2001) , 10.1023/A:1010651300697
WILLIAM J. SUTHERLAND, Predicting the ecological consequences of environmental change: a review of the methods* Journal of Applied Ecology. ,vol. 43, pp. 599- 616 ,(2006) , 10.1111/J.1365-2664.2006.01182.X
Sarah Lichtenstein, Baruch Fischhoff, Lawrence D. Phillips, Calibration of probabilities: the state of the art to 1980 Cambridge University Press. pp. 306- 334 ,(1981) , 10.1017/CBO9780511809477.023
Petra M. Kuhnert, Tara G. Martin, Shane P. Griffiths, A guide to eliciting and using expert knowledge in Bayesian ecological models Ecology Letters. ,vol. 13, pp. 900- 914 ,(2010) , 10.1111/J.1461-0248.2010.01477.X
Ioan Fazey, John A. Fazey, Della M. A. Fazey, Learning more effectively from experience Ecology and Society. ,vol. 10, pp. 4- ,(2005) , 10.5751/ES-01384-100204
Andrew Speirs-Bridge, Fiona Fidler, Marissa McBride, Louisa Flander, Geoff Cumming, Mark Burgman, Reducing Overconfidence in the Interval Judgments of Experts Risk Analysis. ,vol. 30, pp. 512- 523 ,(2010) , 10.1111/J.1539-6924.2009.01337.X
Justine V. Murray, Anne W. Goldizen, Rebecca A. O’Leary, Clive A. McAlpine, Hugh P. Possingham, Samantha Low Choy, 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. ,vol. 46, pp. 842- 851 ,(2009) , 10.1111/J.1365-2664.2009.01671.X