Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network

Water Research

Volumn 37, Issue 8, 2003, Pages 1749-1758

  Park, Young Seuk ^a   Verdonschot, Piet F M ^b   Chon, Tae Soo ^c   Lek, Sovan ^a  

^a CNRS   (France)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c Pusan National University   (South Korea)

Author keywords

Classification; Counterpropagation network; Diversity index; Prediction; Species richness

Indexed keywords

CANALS; ECOSYSTEMS; LAKES; NEURAL NETWORKS; RIVERS; SPRINGS (WATER); WATER QUALITY;

SHANNON DIVERSITY INDEX (SD); SPECIES RICHNESS (SR);

BIODIVERSITY;

WATER;

BENTHIC INFAUNA; BIODIVERSITY; CLASSIFICATION; INDEX METHOD; MACROINVERTEBRATE;

AQUATIC ENVIRONMENT; ARTICLE; BENTHOS; ENVIRONMENTAL PARAMETERS; INFORMATION PROCESSING; LAKE ECOSYSTEM; MACROINVERTEBRATE; NERVE CELL NETWORK; NETHERLANDS; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PUBLIC HEALTH; RIVER ECOSYSTEM; SAMPLING; WATER POLLUTION; WATER QUALITY;

EID: 0242500410     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1354(02)00557-2     Document Type: Article

References (28)

1. Hellawell J.M. Biological indicators of freshwater pollution and environmental management. 1986;Elevier, London.
2. Rosenberg DM, Resh VH. (Eds.). Freshwater biomonitoring and benthic macroinvertebrates. London: Chapman & Hall, 1993.
3. Rosenberg DM, Resh VH. (Eds.). Freshwater biomonitoring and benthic macroinvertebrates. London: Chapman & Hall, 1993.
4. Wilson E.O. The diversity of life. 1999;Norton, New York.
5. Legendre P., Legendre L. Numerical ecology. 1998;Elsevier, Amsterdam.
6. Ward J.V., Stanford J.A. Ecological factors controlling stream zoobenthos with emphasis on thermal modification of regulated streams. Ward J.V., Stanford J.A. The ecology of regulated streams. 1979;35-55 Plenum Press, New York.
7. Bahls LR, Burkantis R, Tralles S. Benchmark biology of Montana reference streams. Department of Health and Environmental Science, Water Quality Bureau, Helena, Montana, 1992.
8. Lek S, Guégan JF. (Eds.). Artificial neuronal networks: Application to ecology and evolution. Berlin: Springer, 2000.
9. Lek S, Guégan JF. (Eds.). Artificial neuronal networks: Application to ecology and evolution. Berlin: Springer, 2000.
10. Recknagel F. (Ed.). Ecological informatics: understanding ecology by biologically-inspired computation. Berlin: Springer, 2002.
11. Recknagel F. (Ed.). Ecological informatics: understanding ecology by biologically-inspired computation. Berlin: Springer, 2002.
12. Kohonen T. Self-organized formation of topologically correct feature maps. Biol Cybernet. 43:1982;59-69.
13. Kohonen T. Self-organizing maps. 3rd ed. 2001;Springer, Berlin.
14. Hecht-Nielsen R. Neurocomputing. 1990;Addison-Wesley, Reading, MA.
15. Grossberg S. On the production and release of chemical transmitters and related topics in the cellular control. J Theoret Biol. 22:1969;325-364.
16. Ultsch A. Self-organizing neural networks for visualization and classification. Opitz O., Lausen B., Klar R. Information and classification. 1993;307-313 Springer, Berlin.
17. Park Y., Céréghino R., Compin A., Lek S. Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters. Ecol Modell, 160(3):2003;265-280.
18. Verdonschot P.F.M., Nijboer R.C. Typology of macrofaunal assemblages applied to water and nature management. a dutch approach Wright J.F., Sutcliffe D.W., Furse M.T. Assessing the biological quality of fresh waters: RIVPACS and other techniques. 2000;241-262 The Freshwater Biological Association, Ambleside Cumbria.
19. Jongman RHG, ter Braak CJF, van Tongerenm OFR. (Eds.). Data analysis in community and landscape ecology. Cambridge: Cambridge University Press, 1995.
20. Jongman RHG, ter Braak CJF, van Tongerenm OFR. (Eds.). Data analysis in community and landscape ecology. Cambridge: Cambridge University Press, 1995.
21. Park Y., Kwak I., Cha E., Lek S., Chon T. Relational patterning on different hierarchical levels in communities of benthic macroinvertebrates in an urbanized steam using an artificial neural network. J Asia-Pacific Entomol. 4:2001;131-141.
22. Chapman D. (Ed.). Water quality assessments. London: Chapman & Hall, 1992.
23. Chapman D. (Ed.). Water quality assessments. London: Chapman & Hall, 1992.
24. Schindler D.W. Experimental perturbations of whole lakes as tests of hypotheses concerning ecosystem structure and function. Oikos. 57:1990;25-41.
25. Connell J. Diversity in tropical rain forests and coral reefs. Science. 199:1978;1304-1310.
26. Jørgensen S.E., Padisak J. Does the intermediate disturbance hypothesis comply with thermodynamics? Hydrobiologia. 323:1996;9-21.
27. Margalef R. Information theory in ecology. Gen Syst. 3:1958;36-71.
28. Hutchinson G.E. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology. 22:1957;415-427.