Predicting the species richness of aquatic insects in streams using a limited number of environmental variables

Journal of the North American Benthological Society

Volumn 22, Issue 3, 2003, Pages 442-456

  Céréghino, Régis ^a   Park, Young Seuk ^a   Compin, Arthur ^a   Lek, Sovan ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Aquatic insects; Artificial neural networks; Bioassessment; Classification; Ordination; Prediction; Species richness; Streams

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL FACTOR; MACROINVERTEBRATE; ORDINATION; PREDICTION; SPECIES RICHNESS; STREAM;

ADOUR-GARONNE RIVER; FRANCE;

COLEOPTERA; EPHEMEROPTERA; HEXAPODA; PLECOPTERA; TRICHOPTERA;

EID: 0042285653     PISSN: 08873593     EISSN: None     Source Type: Journal    
DOI: 10.2307/1468273     Document Type: Review

References (64)

1. AGUILERA, P. A., A. G. GARRIDO-FRENICH, J. A. TORRES, H. CASTRO, J. L. MARTINEZ VIDAL, AND M. CANTON. 2001. Application of the Kohonen neural network in coastal water management: methodological development for the assessment and prediction of water quality. Water Research 35:4053-4062.
2. BLAYO, F., AND P. DEMARTINES. 1991. Data analysis: how to compare Kohonen neural networks to other techniques? Pages 469-476 in A. Prieto (editor). Artificial Neural Networks. International Workshop IWANN '91. Heidelberg Springer, Berlin.
3. BRITTAIN, J. E., AND S. J. SALTVEIT. 1989. A review of the effect of river regulation on mayflies (Ephemeroptera). Regulated Rivers: Research and Management 3:191-204.
4. CAYROU, J., A. COMPIN, N. GIANI, AND R. CÉRÉGHINO. 2000. Associations spécifiques chez les macroinvertébrés benthiques et leur utilisation pour la classification des cours d'eau. Cas du réseau hydrographique Adour - Garonne (France). Annales de Limnologie 36:189-202.
5. CÉRÉGHINO, R., J. L. GIRAUDEL, AND A. COMPIN. 2001. Spatial analysis of stream invertebrates distribution in the Adour-Garonne drainage basin (France), using Kohonen Self Organizing Maps. Ecological Modelling 146:167-180.
6. CHON, T. S., Y. S. PARK, K. H. MOON, E. CHA, AND Y. PA. 1996. Patternizing communities by using an artificial neural network. Ecological Modelling 90:69-78.
7. CULP, J. M., AND R. W. DAVIES. 1982. Analysis of longitudinal zonation and the river continuum concept of the Oldman - South Saskatchewan River system. Canadian Journal of Fisheries and Aquatic Sciences 39:1258-1266.
8. CUMMINS, K. W. 1979. The natural stream ecosystem. Pages 7-24 in J. V. Ward and J. A. Stanford (editors). The ecology of regulated streams. Plenum Press, New York.
9. DETHIER, M., AND E. CASTELLA. 2002. A ten year survey of longitudinal zonation and temporal changes of macrobenthic communities in the Rhône River, downstream from lake Geneva (Switzerland). Annales de Limnologie 38:151-162.
10. DZEROSKI, S., J. GRBOVIC, AND W. J. WALLEY. 1998. Machine learning applications in biological classification of river water quality. Pages 429-448 in R. S. Michalski, I. Bratko, and M. Kubat (editors). Methods and applications of machine learning, data mining and knowledge discovery. John Wiley and Sons, Chichester, UK.
11. FRUGET, J. F., M. CENTOFANTI, J. DESSAIX, J. M. OLIVIER, J. C. DRUART, AND P. J. MARTINEZ. 2001. Temporal and spatial dynamics in large rivers: example of long-term monitoring of the middle Rhône River. Annales de Limnologie 37:237-251.
12. th order section of the Garonne River (France). Annales de Limnologie 37:35-47.
13. GASTON, K. J. 1996. Spatial covariance in the species richness of higher taxa. Pages 221-242 in M. E. Hochberg, J. Clobert, and R. Barbault (editors). Aspects of the genesis and maintenance of biological diversity. Oxford University Press, Oxford, UK.
14. GEVREY, M., I. DIMOPOULOS, AND S. LEK. 2003. Review and comparison of methods to study the contribution of variables in artificial neural network models. Ecological Modelling 160:249-264.
15. GIRAUDEL, J. L., AND S. LEK. 2001. A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination. Ecological Modelling 146:329-339.
16. GIUDICELLI, J., A. BOUZIDI, AND N. AIT ABDELAALI. 2000. Contribution à l'étude faunistique et écologique des simulies (Diptera: Simuliidae) du Maroc. IV. Les simulies du Haut Atlas. Description d'une nouvelle espèce. Annales de Limnologie 36:57-80.
17. HAWKINS, C. P., AND R. H. NORRIS. 2000. Performance of different landscape classifications for aquatic bioassessments: introduction. Journal of the North American Benthological Society 19:367-369.
18. HAWKINS, C. P., R. H. NORRIS, J. GERRITSEN, R. M. HUGHES, S. K. JACKSON, R. K. JOHNSON, AND R. J. STEVENSON. 2000. Evaluation of the use of landscape classifications for the prediction of freshwater biota: synthesis and recommendations. Journal of the North American Benthological Society 19:541-556.
19. HEINO, J. 2002. Concordance of species richness patterns among multiple freshwater taxa: a regional perspective. Biodiversity and Conservation 11:137-147.
20. HUGHES, R. M., D. P. LARSEN, AND J. M. OMERNIK. 1986. Regional reference sites: a method for assessing stream potentials. Environmental Management 10:629-635.
21. ILLIES, J. 1961. Versuch einer allgemeinen biozöbnotischen Glienderung der Fliessgewässer. International Revue der gesamten Hydrobiologie 46:205-213.
22. ILLIES, J., AND L. BOTOSANEANU. 1963. Problèmes et méthodes de classification et de la zonation écologique des eaux courantes, considérées surtout du point de vue faunistique. Verhandlungen der Internationalen Vereinigung für theoretische und angewandte Limnologie 12:1-57.
23. JONGMAN, R. H. G., C. J. F. TER BRAAK, AND O. F. R. VAN TONGEREN (EDITORS). 1995. Data analysis in community and landscape ecology. Cambridge University Press, Cambridge, UK.
24. KIVILUOTO, K. 1996. Topology preservation in self-organizing maps. Pages 294-299 in Proceedings of the International Conference on Neural Networks ICNN'96. IEEE Service Center, Piscataway, New Jersey.
25. KOHONEN, T. 1982. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43:59-69.
26. KOHONEN, T. 1995. Self-Organizing Maps. Springer, Berlin.
27. rd edition. Springer, Berlin.
28. LAVANDIER, P., AND H. DÉCAMPS. 1984. Estaragne. Pages 237-264 in B. A. Whitton (editor). Ecology of European rivers. Blackwell Scientific Publications, Oxford, UK.
29. LEK, S., M. DELACOSTE, P. BARAN, I. DIMOPOULOS, J. LAUGA, AND S. AULAGNIER. 1996. Application of neural networks to modelling nonlinear relationships in ecology. Ecological Modelling 90:39-52.
30. LEK, S., AND J. F. GUÉGAN. 1999. Artificial neural networks as a tool in ecological modelling, an introduction. Ecological Modelling 120:65-73.
31. LEK, S., AND J. F. GUÉGAN. 2000. Artificial Neuronal Networks: application to ecology and evolution. Springer, Berlin.
32. LENAT, D. R. 1988. Water quality assessment of streams using a qualitative collection method for benthic macroinvertebrates. Journal of the North American Benthological Society 7:222-233.
33. LEVINE, E. R., D. S. KIMES, AND V. G. SIGILLITO. 1996. Classifying soil structure using neural networks. Ecological Modelling 92:101-108.
34. LINKE, S., R. C. BAILEY, AND J. SCHWINDT. 1999. Temporal variability of stream bioassessments using benthic macroinvertebrates. Freshwater Biology 42:575-584.
35. MALMQVIST, B., AND C. OTTO. 1987. The influence of substrate stability on the composition of stream benthos: an experimental study. Oikos 48:33-38.
36. MINSHALL, G. W., R. C. PETERSEN, AND C. F. NIMZ. 1985. Species richness in streams of different size from the same drainage basin. American Naturalist 125:16-38.
37. OMERNIK, J. M. 1987. Ecoregions of the conterminous United States. Annals of the Association of American Geographers 77:118-125.
38. ÖZESMI, S., AND U. ÖZESMI. 1999. An artificial neural network approach to spatial habitat modelling with interspecific interaction. Ecological Modelling 116:15-31.
39. PARUELO, J. M., AND F. TOMASEL. 1997. Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models. Ecological Modelling 98:173-186.
40. PASZKOWSKI, C. A., AND W. M. TONN. 2000. Community concordance between the fish and aquatic birds of lakes in northern Alberta: the relative importance of environmental and biotic factors. Freshwater Biology 43:421-437.
41. nd edition. Harper and Row, New York.
42. PENNAK, R. W. 1971. Toward a classification of lotic habitat. Hydrobiologia 38:321-334.
43. RECKNAGEL, F., M. FRENCH, P. HARKONEN, AND K. I. YABUNAKA. 1997. Artificial neural network approach for modelling and prediction of algal blooms. Ecological Modelling 96:11-28.
44. RESH, V. H., AND J. K. JACKSON. 1993. Rapid assessment approaches to biomonitoring using benthic macroinvertebrates. Pages 195-223 in D. M. Rosenberg and V. H. Resh (editors). Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, London, UK.
45. ROSENBERG, D. M., AND V. H. RESH. 1993. Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, London, UK.
46. RUCK, B. M., W. J. WALLEY, AND H. A. HAWKES. 1993. Biological classification of river water quality using neural networks. Pages 361-372 in G. Rzevski, J. Pastor, and R. A. Adey (editors). Applications of artificial intelligence VIII, Vol. 2: applications and techniques. Elsevier/CMP, Southampton, UK.
47. RUMELHART, D. E., G. E. HINTON, AND R. J. WILLIAMS. 1986. Learning representations by back-propagating error. Nature 323:533-536.
48. SANDIN, L., AND R. K. JOHNSON. 2000. Ecoregions and benthic macroinvertebrate assemblages of Swedish streams. Journal of the North American Benthological Society 19:462-474.
49. SCARDI, M., AND L. W. HARDING. 1999. Developing an empirical model of phytoplankton primary production: a neural network case study. Ecological Modelling 120:213-223.
50. TATE, C. M., AND J. S. HEINY. 1995. The ordination of benthic invertebrate communities in the South Platte River Basin in relation to environmental factors. Freshwater Biology 33:439-454.
51. TUMA, A., H. D. HAASIS, AND O. RENTZ. 1996. A comparison of fuzzy expert systems, neural networks and neuro-fuzzy approaches controlling energy and material flows. Ecological Modelling 85:93-98.
52. ULTSCH, A. 1993. Self-organizing neural networks for visualization and classification. Pages 307-313 in B. Opitz, O. Lausen, and R. Klar (editors). Information and classification. Springer-Verlag, Berlin.
53. VANNOTE, R. L., G. W. MINSHALL, K. W. CUMMINS, J. R. SEDELL, AND C. E. CUSHING. 1980. The river continuum concept. Canadian Journal of Fisheries and Aquatic Sciences 37:130-137.
54. VAN SICKLE, J., AND R. M. HUGHES. 2000. Classification strengths of ecoregions, catchments, and geographic clusters for aquatic vertebrates in Oregon. Journal of the North American Benthological Society 19:370-384.
55. VESANTO, J., J. HIMBERG, E. ALHONIEMI, AND J. PARHANKANGAS. 1999. Self-organizing map in matlab: the som toolbox. Pages 35-40 in Proceedings of the Matlab DSP Conference 1999. Comsol Oy, Espoo, Finland.
56. VINÇON, G., AND C. RAVIZZA. 2001. Leuctridae (Plecoptera) of the Pyrenees. Annales de Limnologie 37:293-322.
57. WALLEY, W. J., AND V. N. FONTAMA. 1998. Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain. Water Research 32:613-622.
58. WALLEY, W. J., R. W. MARTIN, AND M. A. O'CONNOR. 2000. Self-organising maps for classification of river quality from biological and environmental data. Pages 27-41 in R. Denzer, D. A. Swayne, M. Purvis, and G. Schimak (editors). Environmental software systems: environmental information and decision support. IFIP Conference Series. Kluwer Academic Publishers, Boston.
59. WALLEY, W. J., AND M. A. O'CONNOR. 2000. Unsupervised pattern recognition for the interpretation of ecological data. Ecological Modelling 146:219-230.
60. WARD, J. V., AND J. A. STANFORD. 1979. Ecological factors controlling stream zoobenthos with emphasis on thermal modification of regulated streams. Pages 35-55 in J. V. Ward and J. A. Stanford (editors). The ecology of regulated streams. Plenum Press, New York.
61. WARD, J. V., AND J. A. STANFORD. 1983. The intermediate disturbance hypothesis: an explanation for biotic diversity patterns in lotic systems. Pages 347-356 in T. D. Fontaine and S. M. Bartell (editors). Dynamics of lotic ecosystems. Ann Arbor Sciences, Ann Arbor, Michigan.
62. WHITTIER, T. R., R. M. HUGHES, AND D. LARSEN. 1988. Correspondence between ecoregions and spatial patterns in stream ecosystems in Oregon. Canadian Journal of Fisheries and Aquatic Sciences 45:1264-1278.
63. WILPPU, E. 1997. The visualisation capability of self-organizing maps to detect deviations in distribution control. TUCS Technical Report No 153. Turku Centre for Computer Science, Turku, Finland.
64. WRIGHT, J. F., D. W. SUTCLIFFE, AND M. T. FURSE (editors). 2000. Assessing the biological quality of fresh waters: RIVPACS and other techniques. Freshwater Biological Association, Ambleside, UK.