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Advances in Engineering Research. Volume 20
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HIGH ORDERLINESS OF PHYTOPLANKTON TAXONOMIC STRUCTURE AS REVEALED BY SEVERAL APPROXIMATION MODELS $100.00
Authors:  Yury Kamenir
Abstract:
A very high orderliness of the phytoplankton assemblage taxonomic structure was
found with the help of several approximation models. Rank-abundance, rank-frequency
and rank-size distributions of the whole assemblage were built using eight-year
monitoring data of Lake Kinneret phytoplankton, describing its taxonomic structure
variability under conditions of extreme environmental impacts and under typical
conditions known from the previous period. Based on the high coefficient of
determination of the linear regression (r2 > 0.9), the long-term log-linear rank distribution
models were selected. The log-normal distribution produced by the scale-free metabolic
web seems to be promising as a possible explanatory model. While large-scale datasets
are necessary to discover such statistical regularities, the operational taxonomic unit
methodology can be helpful. Such an approach helps us distinguish between several
discussed statistical models and provide precise approximation parameters. Simple and
exact models of this type can be valuable for theoretical ecology and aquatic monitoring
aims. 


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