Relationships between Environmental Characteristics and the Density of Age-0 Eurasian Perch Perca fluviatilis in the Littoral Zone of a Lake: A Nonlinear Approach

References

• Bain , M. B. , Finn , J. T. and Booke , H. E. 1985 . A quantitative method for sampling riverine microhabitats by electrofishing . North American Journal of Fisheries Management , 5 : 489 – 493 .
   Google Scholar
• Baran , P. , Lek , S. , Delacoste , M. and Belaud , A. 1996 . Stochastic models that predict trout population densities or biomass on a mesohabitat scale . Hydrobiologia , 337 : 1 – 9 .
   Web of Science ®Google Scholar
• Beecher , H. A. , Johnson , T. H. and Carleton , J. P. 1993 . Predicting microdistributions of steelhead (Oncorhynchus mykiss) parr from depth and velocity preference criteria: test of an assumption of the instream flow incremental methodology . Canadian Journal of Fisheries and Aquatic Sciences , 50 : 1380 – 1387 .
   Web of Science ®Google Scholar
• Brabrand , A. and Faafeng , B. 1994 . Habitat shift in roach (Rutilus rutilus) induced by the introduction of pike-perch (Stizostedion lucioperca) . Internationale Vereinigung für theoretische und angewandte Limnologie Verhandlungen , 25 : 2123
   Google Scholar
• Brosse , S. 1999 . Habitat, dynamique spatiale, et structure des communautés pisciaires en milieu lacustre. Etude de la retenue de Pareloup (Aveyron, France). (Habitat, spatial dynamics, and structure of fish communities in a lacustrine environment: a study of Pareloup Reservoir (Aveyron, France)) Doctoral dissertation. University of Toulouse 3, Toulouse, France
   Google Scholar
• Brosse , S. , Dauba , F. , Oberdorff , T. and Lek , S. 1999a . Influence of some topographical variables on the spatial distribution of lake fish during summer stratification . Archiv für Hydrobiologie , 145 : 359 – 371 .
   Google Scholar
• Brosse , S. , Guégan , J. F. , Tourenq , J. N. and Lek , S. 1999b . The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake . Ecological Modelling , 120 : 299 – 311 .
   Web of Science ®Google Scholar
• Brosse , S. , Lek , S. and Dauba , F. 1999c . Predicting fish distribution in a mesotrophic lake by hydroacoustic survey and artificial neural networks . Limnology and Oceanography , 44 : 1293 – 1303 .
   Web of Science ®Google Scholar
• Cailleux , A. 1954 . Limites dimentionnelles des noms des fractions granulométriques. (Dimensional limits of the names of granulometric fractions) . Bulletin de la Société Géologique de France , 4 : 643 – 646 .
   Google Scholar
• Christensen , B. and Persson , L. 1993 . Species-specific antipredator behaviours: effect of prey choice in different habitats . Behavioral Ecology and Sociobiology , 32 : 1 – 9 .
   Web of Science ®Google Scholar
• Cleveland , W. S. 1979 . Robust locally-weighted regression and scatterplot smoothing . Journal of the American Statistical Association , 74 : 829 – 836 .
   Web of Science ®Google Scholar
• Copp , G. H. 1989 . Electrofishing for fish larvae and juveniles: equipment modifications for increased efficiency with short fishes . Aquaculture and Fisheries Management , 20 : 453 – 462 .
   Google Scholar
• Copp , G. H. 1992 . An empirical model for predicting microhabitat of 0+ juvenile fishes in a lowland river catchment . Oecologia , 91 : 338 – 345 .
   PubMed Web of Science ®Google Scholar
• Dewey , M. R. 1992 . Effectiveness of a drop net, a pop net, and an electrofishing frame for collecting quantitative samples of juvenile fishes in vegetation . North American Journal of Fisheries Management , 12 : 808 – 813 .
   Google Scholar
• Diehl , S. 1993 . Effects of habitat structure on resource availability, diet, and growth of benthivorous perch, Perca fluviatilis . Oikos , 67 : 403 – 414 .
   Web of Science ®Google Scholar
• Dubois , C. , Richeux , C. , Tourenq , J. N. and Lejolivet , C. 1994 . Régime et comportement alimentaire du gardon (Rutilus rutilus, L.) et de la perche (Perca fluviatilis, L.) de la retenue de Pareloup. I. Les alevins. (Diet and feeding behavior of the roach Rutilus rutilus and Eurasian perch Perca fluviatilis in Pareloup Reservoir. I. Alevins) . Hydroécologie Appliquée , 6 : 227 – 242 .
   Google Scholar
• Efron , B. 1983 . Estimating the error rate of a prediction rule: some improvements on cross-validation . Journal of the American Statistical Association , 78 : 316 – 331 .
   Web of Science ®Google Scholar
• Eklöv , P. 1997 . Effects of habitat complexity and prey abundance on the spatial and temporal distributions of perch (Perca fluviatilis) and pike (Esox lucius) . Canadian Journal of Fisheries and Aquatic Sciences , 54 : 1520 – 1531 .
   Web of Science ®Google Scholar
• Eklöv , P. and Hamrin , S. F. 1989 . Predator efficiency and prey selection: interactions between pike (Esox lucius), perch (Perca fluviatilis) and rudd (Scardinius erythrophthalmus) . Oikos , 56 : 149 – 156 .
   Web of Science ®Google Scholar
• Eklöv , P. and Persson , L. 1996 . The response of prey to the risk of predation: proximate cues for refuging juvenile fish . Animal Behaviour , 51 : 105 – 115 .
   Web of Science ®Google Scholar
• Englund , G. 1997 . Importance of spatial scale and prey movements in predator caging experiments . Ecology , 78 : 2316 – 2325 .
   Web of Science ®Google Scholar
• Fischer , P. and Eckmann , R. 1997 . Spatial distribution of littoral fish species in a large European lake, Lake Constance, Germany . Archiv für Hydrobiologie , 140 : 91 – 116 .
   Google Scholar
• Garson , G. D. 1991 . Interpreting neural network connection weights . Artificial Intelligence Expert , 6 : 47 – 51 .
   Google Scholar
• Geman , S. , Bienenstock , E. and Doursat , R. 1992 . Neural networks and the bias/variance dilema . Neural Computation , 4 : 1 – 58 .
   Web of Science ®Google Scholar
• Gliwicz , Z. M. and Warsaw , A. J. 1992 . Diel migrations of juvenile fish: a ghost of predation past or present? . Archiv für Hydrobiologie , 124 : 385 – 410 .
   Google Scholar
• Goh , A. T. C. 1995 . Back-propagation neural networks for modeling complex systems . Artificial Intelligence Engineer , 9 : 143 – 151 .
   Web of Science ®Google Scholar
• Grossman , G. D. , De Sostoa , A. , Freeman , M. C. and Lobon-Cervia , J. 1987 . Microhabitat use in a Mediterranean riverine fish assemblage: fishes of the lower Matarrana . Oecologia , 73 : 490 – 500 .
   PubMed Web of Science ®Google Scholar
• Guégan , J. F. , Lek , S. and Oberdorff , T. 1998 . Energy availability and habitat heterogeneity predict global riverine fish diversity . Nature (London) , 391 : 382 – 384 .
   Web of Science ®Google Scholar
• Hammer , C. 1985 . Feeding behaviour of roach (Rutilus rutilus) and the fry of perch (Perca fluviatilis) in Lake Lankau . Archiv für Hydrobiologie , 103 : 61 – 74 .
   Google Scholar
• Hasler , A. D. and Villemonte , J. R. 1953 . Observations on the daily movements in fishes . Science , 118 : 321 – 322 .
   PubMed Web of Science ®Google Scholar
• Hastie , T. J. and Tibshirani , R. J. 1990 . Generalized additive models London : Chapman and Hall .
   Google Scholar
• Imbrock , F. , Appenzeller , A. and Eckmann , R. 1996 . Diel and seasonal distribution of perch in Lake Constance: a hydroacoustic study and in situ observations . Journal of Fish Biology , 49 : 1 – 13 .
   Web of Science ®Google Scholar
• Jacobsen , L. and Berg , S. 1998 . Diel variation in habitat use by planktivorous in field enclosure experiments: the effect of submerged macrophytes and predation . Journal of Fish Biology , 53 : 1207 – 1219 .
   Web of Science ®Google Scholar
• Jacobsen , L. and Perrow , M. R. 1998 . Predation risk from piscivorous fish influencing the diel use of macrophytes by planktivorous fish in experimental ponds . Ecology of Freshwater Fish , 7 : 78 – 86 .
   Web of Science ®Google Scholar
• James , F. C. , McCulloch , C. E. and Wiedenfeld , D. A. 1996 . New approaches to the analysis of population trends in land birds . Ecology , 77 : 13 – 27 .
   Web of Science ®Google Scholar
• Kohavi , R. A study of the cross-validation and bootstrap for accuracy estimation and model selection. In . Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) . Montreal, , Canada
   Google Scholar
• Laffaille , P. , Brosse , S. , Gabas , S. and Lek , S. 2001 . Fish spatial distribution in the littoral zone of Lake Pareloup (France) during summer . Archiv für Hydrobiologie , 153 : 127 – 144 .
   Google Scholar
• Lek , S. , Delacoste , M. , Baran , P. , Dimopoulos , I. , Lauga , J. and Aulagner , S. 1996 . Application of neural networks to modelling non-linear relationships in ecology . Ecological Modelling , 90 : 39 – 52 .
   Web of Science ®Google Scholar
• Lek , S. and Guégan , J. F. 1999 . Artificial neural networks as a tool in ecological modelling: an introduction . Ecological Modelling , 120 : 65 – 73 .
   Web of Science ®Google Scholar
• Lek , S. and Guégan , J. F. 2000 . Artificial neuronal networks: applications to ecology and evolution Berlin : Springer-Verlag .
   Google Scholar
• Machacek , J. and Matena , J. 1997 . Diurnal feeding patterns of age-0 perch (Perca fluviatilis) and roach (Rutilus rutilus) in a steep-sided reservoir . Archiv für Hydrobiologie , 49 : 59 – 70 .
   Google Scholar
• Mastrorillo , S. , Dauba , F. and Belaud , A. 1996 . Utilisation des microhabitats par le vairon, le goujon et la loche franche dans trois rivières du sud-ouest de la France. (Utilization of microhabitats by the. in three rivers in southwestern France) . Annales de Limnologie , 32 : 185 – 195 .
   Web of Science ®Google Scholar
• Mastrorillo , S. , Lek , S. , Dauba , F. and Belaud , A. 1997 . The use of artificial neural networks to predict the presence of small-bodied fish in a river . Freshwater Biology , 38 : 237 – 246 .
   Web of Science ®Google Scholar
• Nelva , A. , Persat , H. and Chessel , D. 1979 . Une nouvelle méthode d'étude des peuplements ichtyologiques dans les grands cours d'eau par échantillonnage ponctuel d'abondance. (A new method of studying colonizations by fish in large rivers by point-sampling abundance) . Comptes Rendus de l'Académie des Sciences Serie III , 289 : 1295 – 1298 .
   Google Scholar
• Pennington , M. 1996 . Estimating the mean and variance from highly skewed marine data . U.S. National Marine Fisheries Service Fishery Bulletin , 94 : 498 – 505 .
   Web of Science ®Google Scholar
• Persson , L. and Eklöv , P. 1995 . Prey refuges affecting interactions between piscivorous perch and juvenile perch and roach . Ecology , 76 : 70 – 81 .
   Web of Science ®Google Scholar
• Rossier , O. 1995 . Spatial and temporal separation of littoral zone fishes of Lake Geneva (Switzerland–France) . Hydrobiologia , 300/301 : 321 – 327 .
   Web of Science ®Google Scholar
• Rumelhart , D. E. , Hinton , G. E. and Williams , R. J. 1986 . Learning representations by back-propagating error . Nature (London) , 323 : 533 – 536 .
   Web of Science ®Google Scholar
• Savino , J. F. and Stein , R. A. 1989 . Behavioural interactions between fish predators and their prey; effects of plant density . Animal Behaviour , 37 : 311 – 321 .
   Web of Science ®Google Scholar
• Statistica . 2000 . Statistica for Windows, computer program manual Tulsa, Oklahoma : StatSoft, Inc. .
   Google Scholar
• ter Braak , C. J. F. and Looman , C. W. N. 1995 . “ Regression ” . In Data analysis in community and landscape ecology Edited by: Jongman , R. G. H. 29 – 77 . Wageningen, , The Netherlands : Cambridge University Press . C. J. F. ter Braak, and O. F. R. Van Tongeren
   Google Scholar
• Townsend , C. R. , Harper , J. L. and Begon , M. 2000 . Essentials of ecology Malden, Massachusetts : Blackwell Scientific Publications .
   Google Scholar
• Trexler , J. C. and Travis , J. 1993 . Non-traditional regression analyses . Ecology , 74 : 1629 – 1637 .
   Web of Science ®Google Scholar
• Winfield , I. J. 1990 . Predation pressure from above: observations on the activities of piscivorous birds at a shallow eutrophic lake . Hydrobiologia , 191 : 223 – 231 .
   Web of Science ®Google Scholar