Modelling and prediction of phyto- and zooplankton dynamics in Lake Kasumigaura by artificial neural networks

Lakes and Reservoirs: Science, Policy and Management for Sustainable Use

Volumn 3, Issue 2, 1998, Pages 123-133

  Recknagel, Friedrich ^a   Fukushima, Takehiko ^b   Hanazato, Takayuki ^c   Takamura, Noriko ^c   Wilson, Hugh ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b HIROSHIMA UNIVERSITY   (Japan)

^c NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

Artificial neural networks; Lake Kasumigaura; Plankton dynamics; Predictive modelling

Indexed keywords

EID: 0001491662     PISSN: 13205331     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1440-1770.1998.tb00039.x     Document Type: Article

References (5)

1. Fausett L. (1994) Fundamentals of Neural Networks. Architectures, Algorithms, and Applications. Prentice Hall, Englewood Cliffs, pp. 1-461.
2. Hanazato T. & Aizaki M. (1991) Changes in species composition of cladoceran community in Lake Kasumigaura during 1986-1989: Occurrence of Daphnia galeata and its effects on algal biomass. Jpn. J. Limnol. 52, 45-55.
3. Recknagel F., French M., Harkonen P. & Yabunaka K-I. (1997) Artificial neural network approach for modelling and prediction of algal blooms. Ecological Modelling 96, 11-28.
4. Takamura N., Iwakuma T. & Yasuno M. (1987) Primary production in Lake Kasumigaura, 1981-1985. Jpn. J. Limnol. 48, 13-38.
5. Takamura N., Otsuki A., Aizaki M. & Nojiri Y. (1992) Phytoplankton species shift accompanied by transition from nitrogen dependence to phosphorus dependence of primary production in Lake Kasumigaura, Japan. Arch. Hydrobiol. 124, 129-48.