ISSN:
1573-5117
Keywords:
blue-green algae
;
harmful blooms
;
predictive modelling
;
artificial neural networks
;
species succession
;
scenario analysis
;
operational control
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
Notes:
Abstract Predictive potential of deductive and inductivephytoplankton models are compared regarding theirusefulness for forecasting and control of harmfulalgal blooms. While applications of deductive modelsstill seem to be restricted by lack of knowledge, ad hocinductive models sometimes prove to bestraightforward and useful. The inductive neuralnetwork model ANNA is documented by means of anapplication to Lake Kasumigaura, Japan. ANNA wasvalidated for five blue-green algae species wherepredictive accuracy has improved with increased eventand time resolution of training data. A scenarioanalysis on species succession has demonstrated thepotential of ANNA for hypothesis testing. Finally,implications for use of ANNA for operational algalbloom control are discussed.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1003041427672
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