Abstract
2 min readwhere N = number of sampling stations; t = Student's t at a given probability level; S = standard deviation, X = estimated true population mean; d = permissible error of the final mean. Thus, the number of sampling stations necessary to characterize the mean macrophyte standing crop changes proportionally to the square of the coeffi cient of variation and to the inverse of the square of the permissible error (Figure 1). Because the coefficient of variation associated with the mean macrophyte standing crop is often> 50 %, the number of sampling stations necessary to estimate the mean macrophyte standing crop, especially with a permissible error of 10 % as is often re- ABSTRACT 10% Data from 55 Florida lakes were used to demonstrate that the maximum measured standing crop of emergent, floating-leaved, and submersed plants can be used to pro vide a simple characterization of macrophyte standing crops in the littoral zones of lakes. The maximum standing crop was strongly related to the mean standing crop of emergent (R2 = 0.83), floating-leaved (R2 = 0.64), and submersed (R2 = 0.85) macrophytes, and there was also a strong relationship (R2 = 0.79) when data from all plant types were combined. Our best-fit regression equations were In EB = 1.07 In MEB - 1.19, In FB = 1.28 In MFB - 2.73, In SB = 1.20 In MSB - 1.98, and In TMB = 1.20 In MTMB - 2.11 where EB, FB, SB, and TMB are the average standing crops (g dry wt m- 2 ) of emergent, float ing-leaved, submersed, and total macrophytes respectively, and MEB, MFB, MSB, and MTMB are the maximum standing crops measured for the different groups. Stand ard errors of estimates for the average standing crops of the different plant types in individual lakes were of similar magnitude to the errors of estimates obtained for the <JJ mean-maximum standing crop regression equations. ~ These analyses suggest that the maximum standing crop ~ of aquatic macrophytes can provide useful information to ~ characterize macrophyte standing crop in the littoral zone of lakes. ~ E
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