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Predicting the Presence of Filamentous Algae from Cottager Perceptions and Lake Characteristics: an Exploratory Study. PDF

48 Pages·1991·1 MB·English
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ie.V6 PREDICTING THE PRESENCE OF FILAMENTOUS ALGAE FROM COTTAGER PERCEPTIONS AND LAKE CHARACTERISTICS: SEPTEMBER 1991 Environment Environnement Ontario ISBN 0-1119-%^H-l PREDICTING THE PRESENCE OF FILAMENTOUS ALGAE FROM COTTAGER PERCEPTIONS AND LAKE CHARACTERISTICS: AN EXPLORATORY STUDY Report prepared by: H. Vandermeulen and M. Jackson Limnology Section Water Resources Branch Ontario Ministry ofthe Environment SEPTEMBER 1991 u Cette publication technique n'est disponible qu'en anglais. Copyright: Queen's Printer for Ontario, 1991 This publication may be reproduced for non-commercial purposes with appropriate attribution. PIBS 1683 ASTRACT In 1986, over five thousand cottagers on 214 Central Ontario lakes were surveyed via questionnaire onthe extent ofthe shorehne oftheir respective lake affectedbyfilamentous green algae (primarily metaphytic growths ofmembers ofthe Zygnematales). Accuracy of cottager perceptions were determined by comparison to field survey data of algal growths at 32 ofthe lakes. A predictive model based upon cottager perceptionswas able to classify lakes according to algal abundance with over 90% accuracy. Cottager perceptions were concluded tobeuseful as alow costmethodforsurveying the extent ofalgalgrowthinmany lakes over a wide geographic range in a small time frame. Water chemistry data for 191 of the 1986 survey lakes was compared to the cottager algal abundance estimates to determine if water chemistry could be used to predict algal abundance. Discriminant analyses results indicated that coarse scale algal abundance could beaccuratelypredicted inover60%ofthe lakesonthebasisofwaterchemistryparameters. Thediscriminantanalysismodelswerethenappliedtowaterchemistrydatafromlargerlake data bases (735 and 5,276 lakes). A 1988 field survey of algal abundance in 44 lakes determined that over 60% of the lakes in each of the three databases were correctly classified according to algal abundance by the water chemistry models. TABLE OF CONTENTS Page ABSTRACT i LIST OF TABLES iii LIST OF FIGURES iv INTRODUCTION 1 MATERIALS AND METHODS 2 1985 Cottager Survey 2 1986 Cottager Survey 3 Water Chemistr\' Databases 4 Water Chemistr\' Database I 4 Water Chemistr\' Database II 4 Water Chemistry Database III 5 Summary of Databases and Statistical Tests 5 1988 Field Survey 5 RESULTS 6 1985 Cottager Survey 6 1986 Cottager Survey 6 Database I 7 Database II 8 Database III 8 1988 Field Survey 8 DISCUSSION 9 REFERENCES 14 LIST OF TABLES Table 1. Characteristics of the randomly selected subset of 178 lakes surveyed in 1986 for cottager perceptions of FGA growths across two stratification dimensions, acid sensitivity and completeness ofwater chemistry data. Table 2. Known filamentous algae status of the 32 reference lakes (1986 survey) organized according to lake acid sensitivity. Table 3. Variables (long list) used for discriminant analyses of Database I lakes. Table 4. Overview of discriminant analysis models tested on Database L Table.5. Results of discriminant analysis models tested on Database I. Percentage of lakes correctly classified according to the original cottager classifications. Table 6. Standardized canonical discriminant function coefficients (Axis or Eigenvector compositions) for Model 3 and Model 7 as developed with Database L Table 7. Predicted incidence of FGA by watershed for the lakes in Database IL Table 8. Predicted incidence of FGA by watershed for lakes in Database IIL FGA Table 9. 1988 field survey. Percentage of shoreline affected by versus predicted by the Model 7 discriminant analysis. HI LIST OF FIGURES Fig. 1. Primary watershed divisions of Ontario (adapted from Cox, 1978). Fig. 2. Flow chart of Surveys, Databases and statistical analyses. Fig. 3. Discriminant analysis results for Database I, coarse scale grouping (S = SOME, N = NIL, see text). (A) Model 3 (B) Model 7. Fig. 4. Estimated incidence (Model 3 predictions) of FGA for lakes in Database II displayed by latitude and longitude quadrants. Percentage of lakes classified as having SOME or CONSIDERABLE algal growths, by quadrant (GB, Georgian Bay; LN, Lake Nipissing; LS, Lake Simcoe; NA, no data base lakes in this quadrant; **, less than five Database II lakes in this quadrant). Fig. 5. Estimated incidence (Model 7 predictions) of FGA for lakes in Database III displayed by latitude and longitude quadrants. Percentage oflakes classified as having SOME or CONSIDERABLE algal growths, by quadrant (GB, Georgian Bay; JB, James Bay; LH, Lake Huron; LM Lake Michigan; LS, Lake Superior; *, less than five Database III lakes in this quadrant; blank quadrants refer to areas outside of provincial boundaries, or no lakes in data base; arrow marks longitude 90° 00', see text).

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