Abstract
Blade counts and biomass measurements from cores were compared with quadrat surveys in terms of the minimum sample sizes required to detect changes in seagrass cover with specified statistical power levels. Blade counts and biomass methods required extremely high replicate numbers to detect differences in seagrass cover. Percent cover estimation using quadrats required the fewest replicates and the least sampling effort for detection of a given magnitude difference, and is therefore the more cost effective method. Use of a 2 m2 quadrat balances field effort with the number of replicate samples required to detect a difference, while allowing the statistical power of the test to remain high.
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