Environmental impact assessment and monitoring: The role of statistical power analysis

Impact Assessment and Project Appraisal

Volumn 17, Issue 1, 1999, Pages 33-43

  Antcliffe, Bonnie L ^a  

^a FISHERIES AND OCEANS CANADA   (Canada)

Author keywords

Environmental impact assessment; Monitoring; Statistical power analysis

Indexed keywords

ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL MONITORING; METHODOLOGY; STATISTICAL ANALYSIS;

EID: 0033036198     PISSN: 14615517     EISSN: None     Source Type: Journal    
DOI: 10.3152/147154699781767954     Document Type: Article

References (75)

1. Alldredge, J. R., 1987. “Sample size for monitoring of toxic chemical sites”. Environmental Monitoring and Assessment, 9:143–154.
2. Basiao, Z. U., Doyle, R. W., and Arago, A. L., 1996. “A statistical power analysis of the internal reference technique for comparing growth and growth compensation of tilapia strains”. Journal of Fish Biology, 49 (2):277–286.
3. Beanlands, G. E., and Duinker, P. N., 1983. An Ecological Framework for Environmental Impact Assessment in Canada, Hull, Quebec:Institute for Resource and Environmental Studies, Dalhousie University, Halifax, Nova Scotia, and Federal Environmental Assessment Review Office.
4. Beier, P., and Cunningham, S. C., 1996. “Power of track surveys to detect changes in cougar populations”. Wildlife Society Bulletin, 24:540–546.
5. Bernstein, B. B., and Zalinski, J., 1983. “An optimum sampling design and power tests for environmental biologists”. Journal of Environmental Management, 16:35–43.
6. Borenstein, M., and Cohen, J., 1988. Statistical Power Analysis:a Computer Program, Hillsdale, NJ:Lawrence Erlbaum Associates.
7. Brumelle, S., Nemetz, P., and Casey, D., 1983. “Estimating means and variances:the comparative efficiency of composite and grab samples”. Environmental Monitoring and Assessment, 4:81–84.
8. Caswell, H., and Weinberg, J. R., “Sample size and sensitivity in the detection of community impact”. IEEE Oceans 1986 Conference Proceedings. pp. 1040–1045.
9. CEARC, Canadian Environmental Assessment and Research Council. 1986. Learning from Experience:a State-of-the-art Review and Evaluation of Environmental Impact Assessment Audits, Hull, Quebec:Canadian Environmental Assessment and Research Council.
10. Cochran, W. G., and Cox, G. M., 1957. Experimental Designs, second edition, New York:John Wiley and Sons.
11. Cohen, J., 1988. Statistical Power Analysis for the Behavioral Sciences, second edition, Hillsdale, NJ:L Erlbaum Associates.
12. de la Mare, W. K., 1984. “On the power of catch per unit effort series to detect declines in whale stocks”. Report International Whaling Commission, 34:655–662.
13. Dixon, W. J., and Massey, F. J., 1983. Introduction to Statistical Analysis, fourth edition, New York:McGraw Hill Book Co.
14. Environment Canada. 1997a. Technical Guidance Document for Aquatic Environmental Effects Monitoring at Pulp and Paper Mills EEM/1997/8
15. Environment Canada. 1997b. Aquatic Environmental Effects Monitoring Requirements EEM/1997/1 (revised EPS 1/RM/18)
16. Fairweather, P. G., 1991. “Statistical power and design requirements for environmental monitoring”. Australian Journal of Marine and Freshwater Research, 42:555–567.
17. Fritz, E. S., Rago, P. J., and Murarka, I. P., 1980. Strategy for Assessing Impacts of Power Plants on Fish and Shellfish Populations US Fish and Wildlife Service, Biological Services Program, National Power Plant Team, FWS/OBS-80/34)
18. Gerrodette, T., 1987. “A power analysis for detecting trends”. Ecology, 68:1364–1372.
19. Gerrodette, T., 1991. “Models for power of detecting trends — a reply to Link and Hatfield”. Ecology, 72 (5):1889–1892.
20. Goldstein, Richard. 1989. “Powerand sample size via MS/PC-DOS computers”. American Statistician, 43 (4):253–260.
21. Gore, K. L., Thomas, J. M., and Watson, D. G., 1979. “Quantitative evaluation of environmental impact assessment, based on aquatic monitoring programs at three nuclear power plants”. Journal of Environmental Management, 8:1–7.
22. Green, R. H., 1979. Sampling Design and Statistical Methods for Environmental Biologists, New York, NY:John Wiley and Sons.
23. Green, R. H., 1984. “Statistical and non-statistical methods for environmental monitoring studies”. Environmental Monitoring and Assessment, 4:293–301.
24. Green, R. H., 1989. “Power analysis and practical strategies for environmental monitoring”. Environmental Research, 50:195–205.
25. Hatfield, J. S., Gould, W. R., Hoover, B. A., Fuller, M. R., and Lindquist, E. L., 1996. “Detecting trends in raptor counts:powerand type I error rates of various statistical tests”. Wildlife Society Bulletin, 24:505–515.
26. Hayes, J. P., 1987. “The positive approach to negative results in toxicology studies”. Ecotoxicology and Environmental Safety, 14:73–77.
27. Hayes, J. P., and Steidl, R. J., 1997. “Statistical power analysis and amphibian population trends”. Conservation Biology:the Journal of the Society, 11 (1):273
28. Hipel, K. W., McLeod, A. I., and KFosu, P., 1986. “Empirical power comparisons of some tests for trends”. In Developments in Water Science, Edited by:Shaarawi, A. H., and Kwiatkowski, R. E., Vol. 27, 346–362. New York:Elsevier.
29. Hurlbert, S. J., 1984. “Pseudoreplication and design of ecological field experiments”. Ecological Monograph, 54:187–211.
30. Kaesler, R. L., Cairns, J., Jr and Crossman, J. S., 1974. “Redundancy in data from stream surveys”. Water Research, 8:637–642.
31. Kraemer, H. C., and Thiemann, S., 1987. How many subjects? Statistical power analysis in research, Newbury Park, California:Sage Publications Ltd.
32. Link, W. A., and Hatfield, J. S., 1990. “Power calculations and model selection for trend analysis:a comment”. Ecology, 71 (3):1217–1220.
33. Lipsey, M. W., 1990. Design Sensitivity. Statistical Power for Experimental Research, Newbury Park, California:Sage Publications.
34. Lissner, A., Phillips, C., Cadien, D., Smith, R., Bernstein, B., Cimberg, R., Kauwling, T., and Anikouchine, W., 1986. Assessment of Long-term Changes in Biological Communities in the Santa Maria Basin and Western Santa Barbara Channel-Phase I, La Jolla, California:Science Applications International Corp. prepared for US Minerals Management Service (Contract No. 14–12-0001–30031)
35. Loftis, J. C., Ward, R. C., Phillips, R. D., and Taylor, C. H., 1989. An Evaluation of Trend Detection Techniques for Use in Water Quality Monitoring Programs, Corvallis, OR:US Environmental Protection Agency, Environmental Research Laboratory. EPA/600/3–89/037
36. MacDonald, J. S., and Green, R. H., 1983. “Redundancy of variables used to describe importance of prey species in fish diets”. Canadian Journal of Fisheries and Aquatic Sciences, 40:635–637.
37. McCaughran, D. A., “The quality of inferences concerning the effects of nuclear power plants on the environment”. Proceedings of the Conference on Assessing the Effects of Power-plant-induced Mortality on Fish Populations. Edited by:Winkle, W. van. pp. 229–242. New York:Pergamon Press.
38. McKay, D., 1989. “Modeling the long-term behavior of an organic contaminant in a large lake:application to PCBs in Lake Ontario”. Journal of Great Lakes Research, 15 (2):283–297.
39. McKenzie, D. H., Kannberg, L. D., Gore, K. L., MArnold, E., and Watson, D. G., 1977. Design and Analysis of Aquatic Monitoring Programs at Nuclear Power Plants, Richland, WA:Battelle Pacific Northwest Laboratories. NRC-10 PNL-2423
40. McKenzie, D. H., Arnold, E. M., Skalski, J. R., Fickeisen, D. H., and Baker, K. S., 1979. Quantitative Assessment of Aquatic Impacts of Power Plants, Richland, WA:Battelle Pacific Northwest Laboratories. NUREG/CR-0631 PNL-2891 RE
41. Millard, S. P., 1987. “Environmental monitoring, statistics, and the law:room for improvement”. American Statistician, 41 (4):249–253.
42. Millard, S. P., and Lettenmaier, D. P., 1986. “Optimal design of biological sampling programs using analysis of variance”. Estuarine, Coastal and Shelf Science, 22:637–656.
43. Morin, A., 1985. “Variability of density estimates and the optimization of sampling programs for stream benthos”. Canadian Journal of Fisheries and Aquatic Sciences, 42:1530–1534.
44. Nemac, A. FL. 1991. “Power analysis handbook for the design and analysis of forestry trials”. In Biometrics Information Handbook, Vol. 2, Victoria British Columbia, Canada:Ministry of Forests.
45. Osenberg, C. W., Schmitt, R. J., Holbrook, S. J., Abu-saba, K. E., and Flegal, A. R., 1994. “Detection of environmental impacts:natural variability, effect size, and power analysis”. Ecological Applications, 4:16–30.
46. Parkhurst, D. F., 1984. “Decision analysis for toxic waste releases”. Journal of Environmental Management, 18:105–130.
47. Peterman, R. M., 1990a. “Statistical power analysis can improve fisheries research and management”. Canadian Journal of Fisheries and Aquatic Sciences, 47 (1):2–15.
48. Peterman, R. M., 1990b. “The importance of reporting statistical power:the forest decline and acidic deposition example”. Ecology, 71 (5):2024–2027.
49. Peterman, R. M., and Antcliffe, B. L., 1993. “A framework for designing aquatic monitoring programs”. In The Aquatic Resources Research Project:Towards Environmental Risk Assessment and Management of the Fraser River Basin, Edited by:Farrell, T., 227–252. Barnaby BC, Canada:Simon Fraser University.
50. Peterman, R. M., and M'Gonigle, M., 1992. “Statistical power analysis and the precautionary principle”. Marine Pollution Bulletin, 24:231
51. Raiffa, H., 1968. Decision Analysis, Reading, MA:Addison-Wesley Publishing Co.
52. Searcy-Bernal, R., 1994. “Statistical power and aquacultural research”. Aquaculture, 127:371–388.
53. Sharma, R. K., Buffington, J. D., and McFadden, J. T., 1976. Proceedings of the Conference on the Biological Significance of Environmental Impacts, Washington, DC:US Nuclear Regulatory Commission. NR-CONF-002
54. Skalski, J. R., and McKenzie, D. H., 1982. “A design for aquatic monitoring programs”. Journal of Environmental Management, 14:237–251.
55. Steidl, R. J., Hayes, J. P., and Schauber, E., 1997. “Statistical power analysis in wildlife research”. The Journal of Wildlife Management, 61 (2):270–273.
56. Taylor, B. L., and Gerrodette, T., 1993. “The use of statistical power in conversation biology:the Vaquita and Northern Spotted Owl”. Conservation Biology, 7:489–500.
57. Thomas, J. M., “Factors to consider in monitoring programs suggested by statistical analysis of available data”. Proceedings of the Conference on Assessing the Effects of Power-plant-induced Mortality on Fish Populations. Edited by:Winkle, W. van. pp. 243–255. New York:Pergamon Press.
58. Thomas, L., 1996. “Monitoring long-term population change:why are there so many analysis methods?”. Ecology, 77:49–58.
59. Thomas, L., 1997. “Retrospective power analysis”. Conservation Biology, 11 in press
60. Thomas, L., and Juanes, F., 1996. “The importance of statistical power analysis:an examplefrom animal behaviour”. Animal Behaviour, 52 (4):856–859.
61. Thomas, L., and Krebs, C. J., 1997. “A review of statistical power analysis software”. Bulletin of the Ecological Society of America, 78 (2):126
62. Thomas, J. M., Mahaffey, J. A., Gore, K. L., and Watson, D. G., 1978. “Statistical methods used to assess biological impact at nuclear power plants”. Journal of Environmental Management, 7:269–290.
63. Thomas, D. J., Duval, W. S., Johnston, C. S., Lewbel, G. S., Birdsall, A., Hutcheson, M. S., Greene, G. D., Buchanan, R. A., and McDonald, J. W., 1985. Effects Monitoring Strategies for Canada's East Coast, Ottawa:Environmental Studies Revolving Funds Report Series. no 005
64. Toft, C. A., and Shea, P. J., 1983. “Detecting community-wide patterns:estimating power strengthens statistical inference”. American Naturalist, 122:618–625.
65. US EPA, Environmental Protection Agency. 1987a. Technical Support Document for ODES Statistical Power Analysis, Washington, DC:Office of Marine and Estuarine Protection. EPA 430/09–87-004
66. US EPA, Environmental Protection Agency. 1987b. Guidance for Conducting Liver Histopathology Studies during 301(h) Monitoring, Washington, DC:Office of Marine and Estuarine Protection. EPA 430/09–87-004
67. US EPA, Environmental Protection Agency. 1987c. Bioaccumulation Monitoring Guidance:Strategies for Sample Replication and Compositing, Washington, DC:Office of Marine and Estuarine Protection. EPA 430/09–87-003
68. US EPA, Environmental Protection Agency. 1992. Monitoring Guidance for the National Estuary Program, Washington, DC:Office of Water. EPA 842-B-92–004
69. US EPA, Environmental Protection Agency. 1994. Guidance for the Data Quality Objectives Process, Washington, DC:Office of Research and Development. EPA QA/G-4
70. Vaughan, D. S., and Winkle, W. van. 1982. “Corrected analysis of the ability to detect reductions in year-class strength of the Hudson River white perch (Morone americana) population”. Canadian Journal of Fisheries and Aquatic Sciences, 39:782–785.
71. Warren-Hicks, W., Parkhurst, B. R., and Baker, S., Jr. 1989. Ecological Assessment of Hazardous Waste Sites:a Field and Laboratory Reference, Corvallis, OR:US Environmental Protection Agency, Environmental Research Laboratory. EPA/600/3–89/013
72. Winer, B. J., 1971. Statistical Principles in Experimental Design, New York, NY:McGraw-Hill.
73. Wismer, D. A., 1990. Statistical Criteria for Intake Fish Impingement Protection System Performance Evaluation Ontario Hydro Environmental Studies and Assessment Department Report no 90181)
74. Wolfe, D. A., 1978. Marine Biological Effects of OCS Petroleum Development:a Program Review of Research Supported under the NOAA Outer Continental Shelf Environmental Assessment Program, Boulder, Colorado:US Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories.
75. Zar, J. H., 1984. Biostatistical Analysis, second edition, Englewood Cliffs, NJ:Prentice-Hall.