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Detecting Change in Forest Floor Carbon

^a SUNY College of Environmental Science and Forestry, Syracuse, NY 13210
^b Univ. of Kentucky, Lexington, KY 40546
^c University of British Columbia, Vancouver, BC V6T 1Z4
^d Dartmouth College, Hanover, NH 03755
^e Yale Univ., New Haven, CT 06511
^f Colorado State Univ., Fort Collins, CO 80523

View larger version (19K): [in a new window]   Fig. 1. Power to detect different magnitudes of change in forest floor organic mass for various sample sizes, using the variance of paired differences measured in a regional study of 30 stands (Friedland et al., 1992).

View larger version (22K): [in a new window]   Fig. 2. The sample size required to detect a given percentage of change with power = 0.75. The three curves represent different levels of variability derived from a regional study of 30 stands (Friedland et al., 1992). The middle curve is based on the observed variance of the paired differences, and the upper and lower curves are based on the upper and lower bounds of the 95% confidence interval for the standard deviation of the differences.

View larger version (20K): [in a new window]   Fig. 3. Power analysis of independent samples of a watershed at Hubbard Brook (Yanai et al., 1999). High, middle, and low values of variance correspond to data collected in 1987, 1997, and 1982, respectively.

View larger version (21K): [in a new window]   Fig. 4. Frequency distribution of detectable change in the 21 studies we surveyed. There are more than 21 observations because some studies were analyzed for both paired and independent designs, or with both plots and stands as experimental units.