The Variability of Estimates of Variance, and Its Effect on Power Analysis in Monitoring Design

Power analysis can be a valuable aid in the design of monitoringprograms. It requires an estimate of variance, which may come from a pilot study or an existing study in a similar habitat. For marine benthic infauna, natural variation in abundances canbe considerable, raising the question of reliability of varianceestimates. We used two existing monitoring programs to generatemultiple estimates of variance. These estimates were found to differ from nominated best estimates by 50% or more in 43% of cases, in turn leading to under or over-estimation of samplesize in the design of a notional monitoring program. The twostudies, from the same general area, using the same samplingmethods and spanning a similar time scale, gave estimatesvarying by more than an order of magnitude for 25% of taxa.We suggest that pilot studies for ecological monitoring programsof marine infauna should include at least two sampling times.

[1]  Peter G. Fairweather,et al.  Statistical Power and Design Requirements for Environmental Monitoring , 1991 .

[2]  Walter G. Nelson,et al.  A power analysis of methods for assessment of change in seagrass cover , 1996 .

[3]  Craig W. Osenberg,et al.  Detection of Environmental Impacts: Natural Variability, Effect Size, and Power Analysis , 1994 .

[4]  R. Green,et al.  Power analysis and practical strategies for environmental monitoring. , 1989, Environmental research.

[5]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[6]  Paul A. Montagna,et al.  Ecological consequences of environmental perturbations associated with offshore hydrocarbon production: A perspective on long-term exposures in the Gulf of Mexico , 1996 .

[7]  Paul Harris,et al.  Sampling and Statistics , 1993 .

[8]  N. Andrew,et al.  Sampling and the description of spatial pattern in marine ecology , 1987 .

[9]  T. Pearson,et al.  Objective selection of sensitive species indicative of pollution-induced change in benthic communities. 2. Data analyses , 1983 .

[10]  Michael J. Keough,et al.  Designing environmental monitoring for pulp mills in Australia , 1997 .

[11]  Richard K. Johnson SPATIOTEMPORAL VARIABILITY OF TEMPERATE LAKE MACROINVERTEBRATE COMMUNITIES: DETECTION OF IMPACT , 1998 .

[12]  B. Mapstone Scalable Decision Rules for Environmental Impact Studies: Effect Size, Type I, and Type II Errors , 1995 .

[13]  L. L. Eberhardt,et al.  Appraising Variability in Population Studies , 1978 .

[14]  R. Warwick The level of taxonomic discrimination required to detect pollution effects on marine benthic communities , 1988 .