Journal
HARMFUL ALGAE
Volume 3, Issue 4, Pages 403-437Publisher
ELSEVIER
DOI: 10.1016/j.hal.2004.05.005
Keywords
Aureococcus; harmful algal bloom; irradiance; growth; grazing; microphytobenthos; model; nutrient; optics; photosynthesis; physiology; resuspension
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We present a conceptual model for initiation of blooms of the estuarine brown-tide pelagophyte Aureococcus anophagefferens. The model is based on the observation that in addition to its well-documented stimulation by organic nutrients, Aureococcus is pie-adapted to low light levels. Its relatively low maximum (light-saturated) growth rate makes it a poor competitor with other estuarine species at high light under acclimated conditions. Its large photosynthetic antenna and relatively low quota of photoprotective pigments make it more susceptible to photoinhibition than other species to which it is compared. These same characteristics give it a competitive advantage at low light levels. In its shallow habitat, both the light level and the rate of nutrient supply from groundwater and benthic porewater are determined by the degree of benthic coupling. Experimental manipulations in a microcosm and a survey of the literature demonstrate the ability of the sediment-associated microphytobenthos (MPB) to regulate both the light- and nutrient-environment in the overlying water column. The model predicts that the growth dynamics of the MPB are such that the benthic/water column interactions tend towards one of two stable states. In one, a well-developed population of MPB restricts resuspension of particulate material and efflux of dissolved nutrients, resulting in clear and nutrient-poor overlying waters. This condition does not favor growth of Aureococcus. In the alternative state, erosion of the MPB results in turbid, nutrient-rich waters that do favor bloom initiation. Alternation between the states is caused by external physical forcing, through wind-driven mixing of the water column. Field data from Quantuck Bay, New York (USA), failed to document the transition from non-bloom to bloom conditions. Even so, they are consistent with the model's predictions. (C) 2004 Elsevier B.V. All rights reserved.
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