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  • 1
    Electronic Resource
    Electronic Resource
    Associations between lake phytoplankton community and growth factors — a canonical correlation analysis (1991)
    Springer
    Hydrobiologia 210 (1991), S. 209-216 
    Details
    ISSN: 1573-5117
    Keywords: Algal associations ; canonical correlations ; cyanobacteria ; eutrophication ; multivariate analysis ; polyhumic lake
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Canonical correlation analysis was used to study the associations between the most prevalent phytoplankton species and nine physical and chemical growth factors in a polyhumic Finnish lake. The analysis was made (a) to the ten species with the greatest mean biomass in the data over one growth season and (b) to the ten species providing the greatest canonical correlation with the growth factors. The latter species were detected using an exchange type procedure. The analysis showed strong associations within phyla. Especially the most problematic phylum with respect to the use of the lake, the cyanobacteria, had a pronounced mutual association, as they correlated negatively with the N/P ratio as positively with phosphorus.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00034679
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Evaluation of a model-based method for designing water quality observations (1992)
    Springer
    Hydrobiologia 243-244 (1992), S. 381-387 
    Details
    ISSN: 1573-5117
    Keywords: observational design ; modelling ; estimation ; algal competion ; cyanobacteria
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract An observational design technique supporting water quality modelling was reviewed and evaluated. The practical feasibility and mathematical sensitivity of the method were analysed for Lake Kuortaneenjärvi, Western Finland. A sampling programme to estimate characteristic rate parameters for competition between the nitrogen-fixing cyanobacter Aphanizomenon flos-aquae and eukaryotic phytoplankton was produced and the robustness of the design with respect to parameters and input was studied using the Monte Carlo technique. Optimal timing of observations appeared to be more sensitive to noise in the parameter values than to stochasticity in the model input, which consisted of data on the nutrient loading and climatic conditions of the lake. The perturbated parameter values favoured the weighting of phytoplankton dynamics, whereas the perturbations of the input shifted the design towards cyanobacterial dominance. It was concluded that this was because correct timing of algal succession was the most crucial element in successful estimation. Considerable rationalization of the use of measurement resources can be achieved by adopting the design procedure. This was also demonstrated for Lake Kuortaneenjärvi.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00007054
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    Paper (German National Licenses)
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