Best practices in prediction for decision-making: Lessons from the atmospheric and earth sciences

Ecology

Volumn 84, Issue 6, 2003, Pages 1351-1358

  Pielke Jr , Roger A ^a   Conant, Richard T ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

Atmospheric sciences; Best practices; Decision makers; Earth sciences; Prediction; Quantitative ecosystem modeling

Indexed keywords

ATMOSPHERE; DECISION MAKING; EARTH SCIENCE; ECOSYSTEM MODELING; PREDICTION;

EID: 0344708499     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9658(2003)084[1351:BPIPFD]2.0.CO;2     Document Type: Review

References (46)

1. Ascher, W. 1979. Forecasting: an appraisal for policymakers. Johns Hopkins University Press, Baltimore, Maryland, USA.
2. Ascher, W. 1981. The forecasting potential of complex models. Policy Sciences 13:247-267.
3. Bankes, S. 1993. Exploratory modeling for policy analysis. Operations Research 41:435-449.
4. Bio-Environmental Services. 1981. The presence and implications of foreign organisms in ship ballast waters discharged into the Great Lakes. Volumes 1 and 2. Water Pollution Control Directorate, Environmental Protection Service, Environment Canada, Ottawa, Ontario, Canada.
5. Brunner, R. D., and T. Clark. 1997. A practice-based approached to ecosystem management. Conservation Biology 11:48-58.
6. Clark, J. S. 2003. Uncertainty and variability in demography and population growth: a hierarchical approach. Ecology 84:1370-1381.
7. Clark, J. S., et al. 2001. Ecological forecasts: an emerging imperative. Science 293:657-660.
8. Drucker, P. 1993. Post-capitalist society. Harper Collins, New York, New York, USA.
9. Ellner, S. P., and J. Fieberg. 2003. Using PVA for management despite uncertainty: effects of habitat, hatcheries, and harvest on salmon. Ecology 84:1359-1369.
10. Erev, I., G. Bornstein, and T. S. Wallsten. 1993. The negative effect of probability assessments on decision quality. Organizational Behavior and Human Decision Processes 55: 78-94.
11. Guterman, L. 2000. Have ecologists oversold biodiversity? Chronicle of Higher Education 47:A24-A26.
12. Hails, R. S. 2000. Genetically modified plants - the debate continues. Trends in Ecology and Evolution 15:14-17.
13. Holling, C. S. 1995. What barriers? What bridges? Pages 3-36 in L. H. Gunderson, C. S. Holling, and S. L. Light, editors. Barriers and bridges to the renewal of ecosystems and institutions. Columbia University Press, New York, New York, USA.
14. Hooke, W. H., and R. A. Pielke, Jr. 2000. Short-term weather prediction: an orchestra in search of a conductor. Pages 61-83 in D. Sarewitz, R. A. Pielke, Jr., and R. Byerly, editors. Prediction: decision making and the future of nature. Island, Washington, D.C., USA.
15. Huston, M. A. 1997. Hidden treatments in ecological experiments: re-evaluating the ecosystem function of biodiversity. Oecologia 110:449-460.
16. Johnson, G. 2000. Chaos theory; harness fire? Mother Nature begs to differ. New York Times, 21 May 2000, Section 4, page 1.
17. Keepin, B. 1986. Review of global energy and carbon dioxide projections. Annual Review of Energy 11:357-392.
18. Lee, K. H. 1999. Appraising adaptive management. Conservation Ecology 3:3.
19. Lonnie, T. P., T. I. Thompson, J. A. Loach, T. Delfin, and C. S. Przybylek. 2000. Cerro Grande prescribed fire investigation report. National Interagency Fire Center, Boise, Idaho, USA.
20. Losey, J. E., L. S. Rayor, and M. E. Carter. 1999. Transgenic pollen harms monarch larvae. Nature 399:214-214.
21. Merton, R. 1936. The unanticipated consequences of social action. American Sociological Review 1:894-904.
22. Metlay, D. 2000. From tin roof to torn wet blanket: predicting and observing groundwater movement at a proposed nuclear waste site. Pages 199-228 in D. Sarewitz, R. A. Pielke, Jr., and R. Byerly, editors. Prediction: decision making and the future of nature. Island, Washington, D.C., USA.
23. Miller, C. 1998. Extending assessment communities to developing countries. Environment and Natural Resources Program Discussion Paper E-98-15. Kennedy School of Government, Harvard University, Cambridge, Massachusetts, USA.
24. Millspaugh, S. H., C. Whitlock, and P. J. Bartlein. 2000. Variations in fire frequency and climate over the past 17000 yr in central Yellowstone National Park. Geology 28: 211-214.
25. Mohr, J. A., C. Whitlock, and C. N. Skinner. 2000. Postglacial vegetation and fire history, eastern Klamath Mountains, California, USA. Holocene 10:587-601.
26. Murphy, A. H. 1997. Forecast verification. Pages 19-74 in R. Katz and A. Murphy, editors. Economic value of weather and climate forecasts. Cambridge University Press, Cambridge, UK.
27. Murphy, A. H., S. Lichtenstein, B. Fischhoff, and R. L. Winkler. 1980. Misinterpretations of precipitation probability forecasts. Bulletin of the American Meteorological Society 61:695-701.
28. Nicholls, N. 1999. Cognitive illusions, heuristics, and climate prediction. Bulletin of the American Meteorological Society 80:1385-1397.
29. Nigg, J. 2000. Predicting earthquakes: science, pseudoscience and public policy paradox. Pages 135-156 in D. Sarewitz, R. A. Pielke, Jr., and R. Byerly, editors. Prediction: decision making and the future of nature. Island, Washington, D.C., USA.
30. Oreskes, N. 2000. Why predict? Historical perspectives on prediction in the earth sciences. Pages 23-40 in D. Sarewitz, R. A. Pielke, Jr., and R. Byerly, editors. Prediction: decision making and the future of nature. Island, Washington, D.C., USA.
31. Oreskes, N. 2003. The role of quantitative models in science. Cary Conference IX: Understanding ecosystems: the role of quantitative models in observations, synthesis, and prediction. In press.
32. Peterson, G. D., S. R. Carpenter, and W. A. Brock. 2003. Uncertainty and management of multistate ecosystems: an apparently rational route to collapse. Ecology 84:1403-1411.
33. Pielke, R. A., Jr. 2001. Room for doubt. Nature 410:151.
34. Pielke, R. A., Jr. 2002a. Policy, politics and perspective. Nature 416:367-368.
35. Pielke, R. A., Jr. 2003. The role of models in prediction for decision. Cary Conference IX: understanding ecosystems: the role of quantitative models in observations, synthesis, and prediction. In press.
36. Pielke, R. A., Jr. 1999. Who decides? Forecasts and responsibilities in the 1997 Red River floods. Applied Behavioral Science Review 7:83-101.
37. Rayner, S. 2000. Prediction and other approaches to climate change policy. Pages 269-296 in D. Sarewitz, R. A. Pielke, Jr., and R, Byerly, editors. Prediction: decision making and the future of nature. Island, Washington, D.C., USA.
38. Sarewitz, D., and R. A. Pielke, Jr. 1999. Prediction in science and policy. Technology in Society 21:121-133.
39. Sarewitz, D., and R. A. Pielke, Jr. 2000. Breaking the global warming gridlock. The Atlantic Monthly, July 2000, pp. 55-64.
40. Sarewitz, D., R. A. Pielke, Jr., and R. Byerly, editors. 2000. Prediction: science, decision making, and the future of nature. Island, Washington, D.C., USA.
41. Stewart, T. R., P. J. Roebber, and L. F. Bosart. 1997. The importance of the task in analyzing expert judgment. Organizational Behavior and Human Decision Processes 69: 205-219.
42. Tilman, D. 1996. Biodiversity: population versus ecosystem stability. Ecology 77:350-363.
43. Tilman, D., J. Knops, D. Wedin, P. Reich, M. Ritchie, and E. Siemann. 1997. The influence of functional diversity and composition on ecosystem properties. Science 277:1300-1302.
44. U.S. Department of Agriculture and U.S. Department of the Interior. 1995. Federal wildland fire management policy and program review. Final report. National Interagency Fire Center, Boise, Idaho, USA.
45. Veblen, T. T., T. Kitzberger, and J. Donnegan. 2000. Climatic and human influences on fire regimes in ponderosa pine forests in the Colorado Front Range. Ecological Applications 10:1178-1195.
46. Wardle, D. A. 1999. Is "sampling effect" a problem for experiments investigating biodiversity-ecosystem function relationships? Oikos 87:403-407.