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Results: 1-25/29
Authors:
Brosse, S
Laffaille, P
Gabas, S
Lek, S
Citation: S. Brosse et al., Is scuba sampling a relevant method to study fish microhabitat in lakes? Examples and comparisons for three European species, ECOL FRESHW, 10(3), 2001, pp. 138-146
Authors:
Loot, G
Brosse, S
Lek, S
Guegan, JF
Citation: G. Loot et al., Behaviour of roach (Rutilus rutilus L.) altered by Ligula intestinalis (Cestoda : Pseudophyllidea): a field demonstration, FRESHW BIOL, 46(9), 2001, pp. 1219-1227
Authors:
Brosse, S
Lek, S
Townsend, CR
Citation: S. Brosse et al., Abundance, diversity, and structure of freshwater invertebrates and fish communities: an artificial neural network approach, NZ J MAR FR, 35(1), 2001, pp. 135-145
Authors:
Loot, G
Lek, S
Brown, SP
Guegan, JF
Citation: G. Loot et al., Phenotypic modification of roach (Rutilus rutilus L.) infected with Ligulaintestinalis L. (Cestoda : Pseudophyllidea), J PARASITOL, 87(5), 2001, pp. 1002-1010
Authors:
Tourenq, C
Aulagnier, S
Durieux, L
Lek, S
Mesleard, F
Johnson, A
Martin, JL
Citation: C. Tourenq et al., Identifying rice fields at risk from damage by the greater flamingo, J APPL ECOL, 38(1), 2001, pp. 170-179
Authors:
Loot, G
Francisco, P
Santoul, F
Lek, S
Guegan, JF
Citation: G. Loot et al., The three hosts of the Ligula intestinalis (Cestoda) life cycle in Lavernose-Lacasse gravel pit, France, ARCH HYDROB, 152(3), 2001, pp. 511-525
Authors:
Loot, G
Lek, S
Dejean, D
Guegan, JF
Citation: G. Loot et al., Parasite-induced mortality in three host populations of the roach Rutilus rutilus (L.) by the tapeworm Ligula intestinalis (L.), ANN LIMNOL, 37(2), 2001, pp. 151-159
Authors:
Lek, S
Giraudel, JL
Guegan, JF
Citation: S. Lek et al., Neuronal networks: Algorithms and architectures for ecologists and evolutionary ecologists, ENVIRON SCI, 2000, pp. 3-27
Authors:
Giraudel, JL
Aurelle, D
Berrebi, P
Lek, S
Citation: Jl. Giraudel et al., Application of the self-organizing mapping and fuzzy clustering to microsatellite data: How to detect genetic structure in brown trout (Salmo trutta)populations, ENVIRON SCI, 2000, pp. 187-202
Authors:
Guegan, JF
Thomas, F
de Meeus, T
Lek, S
Renaud, F
Citation: Jf. Guegan et al., The macroepidemiology of parasitic and infectious diseases: A comparative study using artificial neuronal nets and logistic regressions, ENVIRON SCI, 2000, pp. 203-224
Authors:
Brosse, S
Lek, S
Citation: S. Brosse et S. Lek, Modelling roach (Rutilus rutilus) microhabitat using linear and nonlinear techniques, FRESHW BIOL, 44(3), 2000, pp. 441-452
Authors:
Lounaci, A
Brosse, S
Thomas, A
Lek, S
Citation: A. Lounaci et al., Abundance, diversity and community structure of macroinvertebrates in an Algerian stream: the Sebaou wadi, ANN LIMNOL, 36(2), 2000, pp. 123-133
Authors:
Oberdorff, T
Lek, S
Guegan, JF
Citation: T. Oberdorff et al., Patterns of endemism in riverine fish of the Northern Hemisphere, ECOL LETT, 2(2), 1999, pp. 75-81
Authors:
Lim, P
Lek, S
Touch, ST
Mao, SO
Chhouk, B
Citation: P. Lim et al., Diversity and spatial distribution of freshwater fish in Great Lake and Tonle Sap river (Cambodia, Southeast Asia), AQU LIV RES, 12(6), 1999, pp. 379-386
Authors:
Angelibert, S
Brosse, S
Dauba, F
Lek, S
Citation: S. Angelibert et al., Changes in roach (Rutilus rutilus L.) population structure induced on draining a large reservoir, CR AC S III, 322(4), 1999, pp. 331-338
Authors:
Lek, S
Guegan, JF
Citation: S. Lek et Jf. Guegan, Artificial neural networks as a tool in ecological modelling, an introduction, ECOL MODEL, 120(2-3), 1999, pp. 65-73
Authors:
Dimopoulos, I
Chronopoulos, J
Chronopoulou-Sereli, A
Lek, S
Citation: I. Dimopoulos et al., Neural network models to study relationships between lead concentration ingrasses and permanent urban descriptors in Athens city (Greece), ECOL MODEL, 120(2-3), 1999, pp. 157-165
Authors:
Lek-Ang, S
Deharveng, L
Lek, S
Citation: S. Lek-ang et al., Predictive models of collembolan diversity and abundance in a riparian habitat, ECOL MODEL, 120(2-3), 1999, pp. 247-260
Authors:
Brosse, S
Guegan, JF
Tourenq, JN
Lek, S
Citation: S. Brosse et al., The use of artificial neural networks to assess fish abundance and spatialoccupancy in the littoral zone of a mesotrophic lake, ECOL MODEL, 120(2-3), 1999, pp. 299-311
Authors:
Aurelle, D
Lek, S
Giraudel, JL
Berrebi, P
Citation: D. Aurelle et al., Microsatellites and artificial neural networks: tools for the discrimination between natural and hatchery brown trout (Salmo trutta, L.) in Atlantic populations, ECOL MODEL, 120(2-3), 1999, pp. 313-324
Authors:
Lae, R
Lek, S
Moreau, J
Citation: R. Lae et al., Predicting fish yield of African lakes using neural networks, ECOL MODEL, 120(2-3), 1999, pp. 325-335
Authors:
Tourenq, C
Aulagnier, S
Mesleard, F
Durieux, L
Johnson, A
Gonzalez, G
Lek, S
Citation: C. Tourenq et al., Use of artificial neural networks for predicting rice crop damage by greater flamingos in the Camargue, France, ECOL MODEL, 120(2-3), 1999, pp. 349-358
Authors:
Gozlan, RE
Mastrorillo, S
Copp, GH
Lek, S
Citation: Re. Gozlan et al., Predicting the structure and diversity of young-of-the-year fish assemblages in large rivers, FRESHW BIOL, 41(4), 1999, pp. 809-820
Authors:
Lek, S
Guiresse, M
Giraudel, JL
Citation: S. Lek et al., Predicting stream nitrogen concentration from watershed features using neural networks, WATER RES, 33(16), 1999, pp. 3469-3478
Authors:
Brosse, S
Lek, S
Dauba, F
Citation: S. Brosse et al., Predicting fish distribution in a mesotrophic lake by hydroacoustic surveyand artificial neural networks, LIMN OCEAN, 44(5), 1999, pp. 1293-1303