Temporal and spatial variation in environmental impact assessment

Ecological Monographs

Volumn 71, Issue 2, 2001, Pages 305-339

  Stewart Oaten, Allan ^a   Bence, James R ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Autocorrelation; BACI (Before After, Control Impact) design; Environmental decision making; Environmental impacts, assessing; Impact vs. reference sites (IVRS); Inference, design based cf. model based; Intervention analysis (IA); Models and model uncertainty; Statistical analysis; Stochastic process variance and sources

Indexed keywords

ENVIRONMENTAL IMPACT ASSESSMENT; SPATIAL VARIATION; TEMPORAL VARIATION;

EID: 0035030981     PISSN: 00129615     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9615(2001)071[0305:TASVIE]2.0.CO;2     Document Type: Article

References (17)

1. Arnold, L. 1974. Stochastic differential equations: theory and applications. John Wiley & Sons, New York, New York, USA.
2. Aubry, P., and D. Debouzie. 2000. Geostatistical estimation variance for the spatial mean in two-dimensional systematic sampling. Ecology 81:543-553.
3. Bellhouse, D. R. 1988. Systematic sampling. Chapter 6 pages 125-145 in P. R. Krishnaiah and C. R. Rao, editors. Handbook of statistics. Volume 6. Elsevier, Amsterdam, The Netherlands.
4. Belsley, D. A., E. Kuh, and R. E. Welsch. 1980. Regression diagnostics: identifying influential data and sources of collinearity. John Wiley & Sons, New York, New York, USA.
5. Bence, J. R., A. Stewart-Oaten, and S. C. Schroeter. 1996. Estimating the size of an effect from a before-after-control-impact paired series design: the predictive approach applied to a power plant study. Pages 133-149 in R. J. Schmitt and C. W. Osenberg, editors. Detecting ecological impacts: concepts and applications in coastal habitats, Academic Press, San Diego, California, USA.
6. Box, G. E. P., and G. M. Jenkins. 1976. Time series analysis: forecasting and control. Holden-Day, San Francisco, California, USA.
7. Box, G. E. P., and G. C. Tiao. 1965: A change in level of a non-stationary time series. Biometrika 52:181-192.
8. Box, G. E. P., and G. C. Tiao. 1975. Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association 70:70-79.
9. Breiman, L. 1968. Probability. Addison-Wesley, Menlo Park, California, USA.
10. Breiman, L. 1995. Discussion of the paper by Chatfield (1995). Journal of the Royal Statistical Society A 158:455.
11. Buckland, S. T., K. P. Burnham, and N. H. Augustin. 1997. Model selection: an integral part of inference. Biometrics 53:603-618.
12. Burnham, K. P., and D. R. Anderson. 1992. Data-based selection of an appropriate biological model: a key to modern data analysis. Pages 16-30 in D. R. McCullough and R. H. Barren, editors. Wildlife 2001: populations. Elsevier, London, UK.
13. Burnham, K. P., and D. R. Anderson. 1998. Model selection and inference: a practical information theoretic approach. Springer-Verlag, New York, New York, USA.
14. Campbell, D. T. 1969. Prospective: artifact and control. Chapter 8 in R. Rosenthal and R. Rosnow, editors. Artifact and behavioral research. Academic Press, New York, New York, USA.
15. Campbell, D. T., and J. C. Stanley. 1966. Experimental and quasi-experimental designs for research. Rand McNally, Chicago, Illinois, USA.
16. Carpenter, S. R., T. M. Frost, D. Heisey, and T. K. Kratz. 1989. Randomized intervention analysis and the interpretation of whole-ecosystem experiments. Ecology 70:1142-1152.
17. Chatfield, C. 1995. Model uncertainty, data mining, and statistical inference. Journal of the Royal Statistical Society, Series A 158:419-466.