Desirable design characteristics for long-term monitoring of ecological variables
Tóm tắt
Long-term environmental monitoring places a set of demands on a sampling strategy not present in a survey designed for a single time period. The inevitability that a sample will become out of date must be a dominant consideration in planning a long-term monitoring programme. The sampling strategy must be able to accommodate periodic frame update and sample restructuring in order to address changes in the composition of the universe and changes in the perception of issues leading to new questions and concerns. The sampling strategy must be capable of adapting to such changes while maintaining its identification as a probability sample and its capacity to detect trends that span the update occasions. These issues are examined with respect to sub-population estimation, post-stratification via conditioning, and sample enlargement and reduction. Design features that involve complex sample structure create potentially serious difficulties, whereas an equal probability design permits greater adaptability and flexibility. Structure should be employed sparingly and in awareness of its undesirable effects.
Tài liệu tham khảo
Binder, D.A. and Hidiriglou, M.A. (1988) Sampling in time. In Handbook of Statistics, Vol. 6: Sampling, P.R. Krishnaiah and C.R. Rao (eds), Elsevier Science Publishers, Amsterdam, pp. 187–211.
Cochran, W.G. (1953, 1963, 1977) Sampling Techniques (1st, 2nd, and 3rd editions). Wiley, New York.
Cordy, C.B. (1993) An extension of the Horvitz-Thompson theorem to point sampling from a continuous universe. Statistics and Probability Letters, 18, 353–62.
Cowling, E.B. (1992) Challenges at the interface between ecological and environmental monitoring: imperatives for research and public policy. In Ecological Indicators, D.H. McKenzie, D.E. Hyatt, and V.J. McDonald (eds), Elsevier Applied Science, London, pp. 1461–80.
Duncan, G.J. and Kalton, G. (1987) Issues of design and analysis of surveys across time. International Statistical Review, 55, 97–117.
Eilers, J.M., Brakke, D.F. and Landers, D.H. (1988) Chemical and physical characteristics of lakes in the upper Midwest, United States. Environmental Science and Technology, 22, 164–72.
Furnival, G.M., Gregoire, T.G. and Grosenbaugh, L.R. (1987) Adjusted inclusion probabilities with 3P sampling. Forest Science, 33, 617–31
Hajek, J. (1981) Sampling from a Finite Population. Marcel Dekker, New York.
Holt, D. and Smith, T.M.F. (1979) Post stratification. Journal of the Royal Statistical Society, Series A, 142, 33–46.
Iles, K. (1994) Directions in forest inventory. Journal of Forestry, 92, (12), 12–15.
Kaufmann, P.R., Herlihy, A.T., Mitch, M.E., Messer, J.J. and Overton, W.S. (1991) Stream chemistry in the Eastern United States. 1. Synoptic survey design, acid-base status, and regional patterns. Water Resources Research, 27, 611–27.
Kish, L. (1992) Weighting for unequal Pi. Journal of Official Statistics, 8, 183–200.
Kish, L. and Scott, A. (1971) Retaining units after changing strata and probabilities. Journal of the American Statistical Association, 66, 461–70.
Landers, D.H., Overton, W.S., Linthurst, R.A. and Brakke, D.F. (1988) Eastern Lake Survey: Regional estimates of lake chemistry. Environmental Science and Technology, 22, 128–35.
Overton, W.S. (1985) A sampling plan for streams in the National Stream Survey. Technical Report 114, Department of Statistics, Oregon State University.
Overton, W.S. (1990) A strategy for use of found samples in a rigorous monitoring design. Technical Report 139, Department of Statistics, Oregon State University.
Overton, W.S. and Stehman, S.V. (1994) Variance estimation in the EMAP strategy for sampling discrete ecological resources. Environmental and Ecological Statistics, 1, 133–52.
Overton, W.S. and Stehman, S.V. (1995) Design implications of anticipated data uses for comprehensive environmental monitoring programmes. Environmental and Ecological Statistics, 2, 287–303.
Overton, W.S., White D. and Stevens, D.L. (1990)Design Report for EMAP: Environmental Monitoring and Assessment Program. EPA/600/3-91/053, U.S. Environmental Protection Agency, Washington, DC.
Palmer, M.E. (1987) A critical look at rare plant monitoring in the United States. Biological Conservation, 39, 113–27.
Rao, J.N.K. (1985) Conditional inference in survey sampling. Survey Methodology, 11, 15–31.
Särndal, C.E., Swensson, B. and Wretman, J. (1992) Model Assisted Survey Sampling. Springer-Verlag, New York.
Scott, C.T. and Köhl, M. (1994) Sampling with partial replacement and stratification. Forest Science, 40, 30–46.
Shifley, S.R. and Schlesinger, R.C. (1994) Sampling guidelines for old-growth forests in the Midwest, USA. Natural Areas Journal, 14, 258–68.
Smith, T.M.F. (1991) Post-stratification. The Statistician, 40, 315–23.
Stehman, S.V. and Overton, W.S. (1994) Environmental sampling and monitoring. In Handbook of Environmental Statistics, G.P. Patil and P. Ross (eds), Elsevier Science Publishers, pp. 263–306.