Ranking the effects of site exposure, plant growth form, water depth, and transparency on aquatic plant biomass

The maximum depth of macrophyte colonization and depth distribution of macrophyte biomass were as- sessed over 3 years, in late summer, at six sites in the St. Lawrence River and two sites in the Ottawa River (Lake des Deux Montagnes). Maximum depth of submerged plant colonization could be predicted from the light extinction coeffi- cient (r 2 = 0.82) and Secchi disk depth (r 2 = 0.80). The aboveground and total biomass of macrophytes were related to a variety of environmental variables as follows in descending order of importance: exposure to wind and waves, plant growth forms, water depth, and light intensity. Together, these variables accounted for 67 and 74% of sampling vari- ability of aboveground and total biomass, respectively. These environmental variables were used to elaborate hierarchi - cal predictive models of aboveground and total biomass of emergent and submerged macrophytes. The empirical relationship that links St. Lawrence River and Ottawa River aquatic plants to environmental variables may eventually allow us to forecast wetland response to changes in water levels and water clarity resulting from climate variability and (or) discharge regulation.

[1]  J. Kalff,et al.  Water Flow and Clay Retention in Submerged Macrophyte Beds , 1992 .

[2]  P. Chambers Nearshore Occurrence of Submersed Aquatic Macrophytes in Relation to Wave Action , 1987 .

[3]  P. Chambers,et al.  The influence of sediment composition and irradiance on the growth and morphology of Myriophyllum spicatum L. , 1985 .

[4]  A. Middelboe,et al.  Depth limits and minimum light requirements of freshwater macrophytes , 1997 .

[5]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[6]  H. R. Hamilton,et al.  Current Velocity and Its Effect on Aquatic Macrophytes in Flowing Waters. , 1991, Ecological applications : a publication of the Ecological Society of America.

[7]  K. Guertin,et al.  Évaluation de la biomasse et du contenu en métaux traces des plantes aquatiques submergées du lac Saint-Pierre, fleuve Saint-Laurent. , 1992 .

[8]  B. H. Sheldrick,et al.  Analytical methods manual , 1984 .

[9]  Guy Fortin,et al.  Modélisation hydrodynamique du lac Saint-Pierre, fleuve Saint-Laurent : l'influence de la végétation aquatique , 1994 .

[10]  S. Lalonde,et al.  Caractérisation de la biomasse et de la teneur en métaux des herbiers du Saint-Laurent (1993-1996) , 1999 .

[11]  C. Duarte,et al.  Patterns in the Submerged Macrophyte Biomass of Lakes and the Importance of the Scale of Analysis in the Interpretation , 1990 .

[12]  G. C. Gerloff,et al.  TISSUE ANALYSIS AS A MEASURE OF NUTRIENT AVAILABILITY FOR THE GROWTH OF ANGIOSPERM AQUATIC PLANTS1 , 1966 .

[13]  S. Haslam,et al.  River plants : the macrophytic vegetation of watercourses , 1980 .

[14]  W. F. Millington,et al.  The biology of aquatic vascular plants , 1967 .

[15]  Ian Hawes,et al.  Effects of changing water clarity on characean biomass and species composition in a large oligotrophic lake , 1997 .

[16]  C. Duarte,et al.  Littoral slope as a predictor of the maximum biomass of submerged macrophyte communities , 1986 .

[17]  C. Hudon Impact of water level fluctuations on St. Lawrence River aquatic vegetation , 1997 .

[18]  Robert J. Orth,et al.  Assessing Water Quality with Submersed Aquatic Vegetation , 1993 .

[19]  E. Prepas,et al.  Underwater Spectral Attenuation and Its Effect on the Maximum Depth of Angiosperm Colonization , 1988 .