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Physical variables driving epiphytic algal biomass in a dense macrophyte bed of the St. Lawrence River (Quebec, Canada)
Authors:Véronique Gosselain  Christiane Hudon  Antonella Cattaneo  Pierre Gagnon  Dolors Planas  Denis Rochefort
Institution:(1) GRIL, Département de Sciences Biologiques, Université de Montréal, P. O. Box 6128, Centre Ville Station, Montreal, Quebec, Canada, H3C 3J7;(2) St. Lawrence Centre, Environment Canada, 105 McGill Street, 7th Floor, Montreal, Quebec, Canada, H2Y 2E7;(3) GRIL, Département de Sciences Biologiques, Université du Québec à Montréal, P.O. Box 8888, Centre Ville Station, Montreal, Quebec, Canada, H3C 3P8
Abstract:The variables affecting epiphyton biomass were examined in a sheltered, multispecies macrophyte bed in the St. Lawrence River. Alteration of light penetration, resulting from the presence of dense macrophytes forming a thick subsurface canopy, primarily determined epiphyton biomass. Seasonal decrease of water levels also coincided with major increases in biomass. Plant morphology was the next important variable influencing epiphytic biomass, whereas the contribution of other variables (sampling depth, macrophyte species, relative abundance of macrophytes, and temperature) was low. Groups of lowest epiphyte biomass (0.1–0.6 mg Chla g–1 DW) were defined by the combination of a low percentage of incident light (<13% surface light) and simple macrophyte stem types found below the macrophyte canopy. Highest epiphyte biomass (0.7–1.8 mg Chla g–1 DW) corresponded to samples collected in mid-July and August, under high irradiance (>20% surface light) and supported by ramified stems. Our results suggest that epiphyton sampling should be stratified according to the fraction of surface light intensity, macrophyte architecture, and seasonal water level variations, in decreasing order of influence.
Keywords:epiphytic algae  biomass  predictive models  St  Lawrence River  CART analysis  macrophytes
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