Artificial neural nets and abundance prediction of aquatic insects in small streams

Ecological Informatics

Volumn 1, Issue 4, 2006, Pages 423-430

  Wagner, Rüdiger ^a   Obach, Michael ^b   Werner, Heinrich ^b   Schmidt, Hans Heinrich ^a  

^a MAX PLANCK INSTITUTE FOR EVOLUTIONARY BIOLOGY   (Germany)

^b UNIVERSITY OF KASSEL   (Germany)

Author keywords

Abundance prediction; Aquatic insects; Artificial neural nets; Environmental variables; Generalization ability

Indexed keywords

ABUNDANCE; AQUATIC ORGANISM; ARTIFICIAL NEURAL NETWORK; DIAPAUSE; ENVIRONMENTAL CONDITIONS; INSECT; LIFE CYCLE; POPULATION MODELING; SEASONAL VARIATION; STREAMWATER;

EPHEMEROPTERA; HEXAPODA; INSECTA; PLECOPTERA; TRICHOPTERA;

EID: 33751546213     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2006.07.002     Document Type: Article

References (20)

1. Connell J.A. Diversity in tropical rainforests and coral reefs. Science 199 (1978) 1302-1310
2. Dapper T. Dimensionsreduzierende Vorverarbeitungen für Neuronale Netze mit Anwendungen in der Umweltmodellierung; Aachen - Verlag Shaker (1998)
3. Diamond J., and Case T.J. Community Ecology (1986), Harper & Row, New York
4. Illies J. Emergenz 1969 im Breitenbach. Archiv für Hydrobiologie 69 (1971) 14-59
5. Junk W.J. The flood pulse concept of large rivers: learning from the tropics. Archiv für Hydrobiologie 115 (1999) 261-280
6. Minshall G.W. Stream ecosystem theory, a global perspective. Journal of the North American Benthological Society 7 (1988) 263-288
7. Obach M., 2003. Zuverlässigkeit der Prognosen von hybriden Neuronalen Netzwerken und ihre Visualisierung mit Anwendungen in der Limnologie. Dissertation.de - Verlag im Internet; ISBN 3-89825-660-X.
8. Obach M., Wagner R., Werner H., and Schmidt H.H. Modelling population dynamics of aquatic insects with artificial neural networks. Ecological Modelling 146 (2001) 207-217
9. Peckarsky B.L. Biotic interactions or abiotic limitations? A model of lotic community structure. In: Fontaine III T.D., and Bartell S.M. (Eds). Dynamics of Lotic Ecosystems (1983), Ann Arbor Science Publications, Ann Arbor, Michigan 303-323
10. Resh V.H., Hildrew A.G., Statzner B., and Townsend C.R. Theoretical habitat templets, species traits, and species richness, a synthesis of long-term ecological research on the Upper Rhône River in the context of concurrently developed ecological theory. Freshwater Biology 31 (1994) 539-554
11. Schleiter I.M., Obach M., Wagner R., Werner H., Schmidt H.H., and Borchardt D. Modelling ecological interrelations in running water ecosystems with artifical neural networks. In: Recknagel F. (Ed). Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation (2003), Springer-Verlag, Berlin 109-126 Chapter 7
12. Schmidt H.H. Einfluss der Temperatur auf die Entwicklung von Baetis vernus Curtis. Archiv für Hydrobiologie. Supplement-Band 69 (1984) 364-410
13. Southwood T.R.E. Habitat, the templet for ecological strategies?. Journal of Animal Ecology 46 (1977) 337-365
14. SPSS. Base 11.0 User's Guide (2001), SPSS Inc., Chicago 574 pp
15. In: Strong D.R., Simberloff D., Abele L.G., and Thistle A.B. (Eds). Ecological Communities, Conceptual Issues and the Evidence (1984), Princeton University Press, Princeton, NJ
16. Townsend C.R. The patch dynamics concept of stream community ecology. Journal of the North American Benthological Society 8 (1989) 36-50
17. Wagner R. The influence of stream water temperature on size and weight of caddisflies (Insecta, Trichoptera) along the Breitenbach 1983-1991. Archiv für Hydrobiologie 163 (2004) 65-79
18. Wagner R., and Schmidt H.-H. Yearly discharge patterns determine species abundance and community diversity: analysis of a 25 year record from the Breitenbach. Archiv für Hydrobiologie 161 (2004) 511-540
19. Ward J.V., and Stanford J.A. The intermediate-disturbance hypothesis, an explanation for biotic diversity patterns in lotic ecosystems. In: Fontaine T.D., and Bartell S.M. (Eds). Dynamics of Lotic Ecosytems (1983), Ann Arbor Science, U.S.A., Ann Arbor, Michigan 347-356
20. Werner H., and Obach M. New neural network types estimating the accuracy of response for ecological modelling. Ecological Modelling 146 (2001) 289-298