Empirical Prediction of Crustacean Zooplankton Biomass and Profundal Macrobenthos Biomass in Lakes
We used data taken from the literature to develop and compare several estimators of crustacean zooplankton biomass (49 lakes) and profundal macrobenthos biomass (38 lakes). Both mean zooplankton biomass (r2 = 0.72, P < 0.001) and mean profundal macrobenthos biomass (r2 = 0.48, P < 0.001) correlated better with mean total phosphorus concentration than with Secchi depth, mean depth, maximum depth, or lake surface area. Mean total phosphorus concentration was also superior to mean chlorophyll a concentration (r2 = 0.57, P < 0.001) as an estimator of zooplankton biomass, but data were insufficient to evaluate chlorophyll a concentration as an estimator of macrobenthos biomass. Inclusion of maximum depth as a variable in a multiple regression resulted in a slight but significant (P < 0.030) improvement in the zooplankton–total phosphorus relationship (R2 = 0.75, P < 0.001). Inclusion of lake surface area as a variable in a multiple regression significantly (P < 0.001) improved the predictive power of the profundal macrobenthos–total phosphorus relationship (R2 = 0.59, P < 0.001).