SEARCH

SEARCH BY CITATION

References

  • Austin, M.P. & Meyers, J.A. (1996) Current approaches to modelling the environmental niche of eucalyptus: implications for management of forest biodiversity. Forest Ecology and Management, 85, 95 106.
  • Austin, M.P., Nicholls, A.O., Doherty, M.D., Meyers, J.A. (1994) Determining species response functions to an environmental gradient by means of a β-function. Journal of Vegetation Sciences, 5, 215 228.
  • Baran, P., Lek, S., Delacoste, M., Belaud, A. (1996) Stochastic models that predict trout population density or biomass on a mesohabitat scale. Hydrobiologia, 337, 1 9.
  • Birks, H.J.B., Line, S.M., Juggins, S., Stevenson, A.C., Ter Braak, C.J.F. (1990) Diatoms and pH reconstruction. Philosophical transactions of the Royal Society of London, Series B, 327, 151 167.
  • Bishop, C.M. (1995). Neural Network for Pattern Recognition. Oxford University Press, Oxford, UK.
  • Blackburn, T.M. & Gaston, K.J. (1998) Some methodological issues in macroecology. American Naturalist, 15, 68 83.
  • Boon, P.J. & Raven, P.J. (1998) The application of classification and assessment methods to river management in the UK. Aquatic Conservation: Marine and Freshwater Ecosystems, 8 (Special Issue), 383 644.
  • Brewin, P.A., Buckton, S.T., Ormerod, S.J. (1998) River habitat surveys and biodiversity in acid-sensitive rivers. Aquatic Conservation Marine and Freshwater Ecosystems, 8, 501 514.
  • Buckton, S.T. (1998) Spatio-temporal patterns in the distribution and ecology of river birds. PhD Thesis. Cardiff University, Cardiff, UK.
  • Buckton, S.T. & Ormerod, S.J. (1997) Use of a new standardised habitat survey for assessing the habitat preferences and distribution of upland river birds. Bird Study, 44, 327 337.
  • Buckton, S.T., Brewin, P.A., Lewis, A., Stevens, P.A., Ormerod, S.J. (1998) The distribution of dippers Cinclus cinclus in the acid-sensitive region of upland Wales, 1984–1995. Freshwater Biology, 39, 387 396.
  • Chatfield, C. (1995) Model uncertainty, data mining and statistical inference. Journal of the Royal Statistical Society, Series A, 158, 419 466.
  • Collett, D. (1991) Modelling Binary Data. Chapman & Hall, London, UK.
  • Collins, R.P. & Jenkins, A. (1996) The impact of agricultural land use on stream chemistry in the Middle Hills of the Himalaya, Nepal. Journal of Hydrology, 185, 71 86.
  • Davis, A.J., Jenkinson, L.S., Lawton, J.H., Shorrocks, B., Wood, S. (1998) Making mistakes in predicting shifts in species range in response to global warming. Nature, 391, 783 786.
  • Fielding, A.H. & Bell, J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38 49.
  • Fielding, A.H. & Haworth, P.F. (1995) Testing the generality of bird–habitat models. Conservation Biology, 9, 1466 1481.
  • Gaston, K.J. & Blackburn, T.M. (1995) Mapping biodiversity using surrogates for species richness – macro-scales and New World birds. Proceedings of the Royal Society of London, Series B, Biological Sciences, 262, 335 341.
  • Gaston, K.J. & Blackburn, T.M. (1999) A critique for macro-ecology. Oikos, 84, 353 368.
  • Green, R.E., Osborne, P.E., Sears, E.J. (1994) The distribution of passerine birds in hedgerows during the breeding season in relation to characteristics of hedgerows and adjacent farmlands. Journal of Applied Ecology, 31, 677 692.
  • Green, R.H. & Vascotto, G.L. (1978) A method for the analysis of environmental factors controlling patterns of species composition in aquatic communities. Water Research, 12, 583 590.
  • Guégan, J.F., Lek, S., Oberdoff, T. (1998) Energy availability and habitat heterogeneity to predict global riverine fish diversity. Nature, 391, 382 384.
  • Hair, J.F. Jr, Anderson, R.E., Tatham, R.L., Black, W.C. (1995) Multivariate Data Analysis, 4th edn. Prentice Hall, Englewood Cliffs, New Jersey.
  • Heywood, V.H. (1995) Global Biodiversity Assessment. Cambridge University Press, Cambridge, UK.
  • Hill, M.O. (1991) Patterns of species distribution in Britain elucidated by canonical correspondence analysis. Journal of Biogeography, 3, 247 255.
  • Hunter, M.L. Jr (1996) Fundamentals of Conservation Biology. Blackwell Science, Oxford, UK.
  • Jongman, R.H.G., Ter Braak, C.J.F., Van Tongeren, O.F.R. (1995) Data Analysis in Community and Landscape Ecology, 4th edn. Cambridge University Press, Cambridge, UK.
  • Jüttner, I., Rothfritz, H., Ormerod, S.J. (1996) Diatoms as indicators of river quality in the Nepalese Middle Hills with consideration of the effects of habitat-specific sampling. Freshwater Biology, 36, 101 112.
  • Lawton, J.H. & Woodroffe, G.L. (1991) Habitat and distribution of water voles: why are there gaps in a species’ range? Journal of Animal Ecology, 60, 79 91.
  • Lek, S., Belaud, A., Baran, P., Dimopoulos, I., Delacoste, M. (1996b) Role of some environmental variables in trout abundance models using neural networks. Aquatic Living Resources, 9, 23 29.
  • Lek, S., Delacoste, M., Baran, P., Dimopoulos, I., Lauga, J., Aulanier, S. (1996a) Application of neural networks to modelling nonlinear relationships in ecology. Ecological Modelling, 90, 39 52.
  • McCullagh, P. & Nelder, J.A. (1989) Generalized Linear Models, 2nd edn. Monographs on Statistics and Applied Probability. Chapman & Hall, London, UK.
  • Manel, S., Dias, J.M., Ormerod, S.J. (in press) Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird. Ecological Modelling, in press.
  • Marchant, J.H., Langston, R., Gregory, R.D. (1996) The Waterways Bird Survey: An Evaluation of its Future Role. Environment Agency R&D Technical Report W22. Environment Agency, Bristol, UK.
  • Mastrorillo, S., Lek, S., Dauba, F., 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.
  • May, P.J.E. & Webb, N.R. (1994) Large-Scale Ecology and Conservation Biology. Blackwell Science, Oxford, UK.
  • Neave, H.M., Cunningham, R.B., Norton, T.W., Nix, H.A. (1996) Biological inventory for conservation evaluation. III. Relationships between birds, vegetation and environmental attributes in southern Australia. Forest Ecology and Management, 85, 197 218.
  • Newson, M.D., Harper, D.M., Padmore, C.L., Kemp, J.L., Vogel, B. (1998) A cost-effective approach for linking habitats, flow types and species requirements. Aquatic Conservation: Marine and Freshwater Ecosystems, 8, 431 446.
  • Ormerod, S.J., Baral, H.S., Brewin, P.A., Buckton, S.T., Jüttner, I., Rothfritz, H., Suren, A.M. (1997) River habitat surveys and biodiversity in the Nepal Himalaya. Freshwater Quality: Defining the Indefinable? (eds P.J.Boon & D.L.Howell), pp. 241 250. The Stationary Office, Edinburgh, UK.
  • Ormerod, S.J., Rundle, S.D.S., Wilkinson, M., Daly, G.P., Dale, K.M., Jüttner, I. (1994) Altitudinal trends in the diatoms, bryophytes, macroinvertebrates and fish of a Nepalese river system. Freshwater Biology, 32, 309 322.
  • Osborne, P.E. & Tigar, B.J. (1992) Interpreting bird atlas data using logistic models: an example from Lesotho, Southern Africa. Journal of Applied Ecology, 29, 55 62.
  • Pearson, D.L. & Carroll, S.S. (1998) Global patterns of species richness: spatial models for conservation planning using bioindicator and precipitation data. Conservation Biology, 12, 809 821.
  • Peeters, E.T.H.M. & Gardeniers, J.J.P. (1998) Logistic regression as a tool for defining habitat requirements of two common gammarids. Freshwater Biology, 39, 605 615.
  • Raven, P.J., Fox, P., Everard, M., Holmes, N.T.H., Dawson, F.H. (1997) River habitat structure: a new system for classifying rivers according to their habitat quality. Freshwater Quality: Defining the Indefinable? (eds P.J.Boon & D.L.Howell), pp. 241 250. The Stationary Office, Edinburgh, UK.
  • Richards, C., Johnson, L.B., Host, G.E. (1996) Landscape-scale influences on stream habitats and biota. Canadian Journal of Fisheries and Aquatic Sciences, 53, 295 311.
  • Ripley, B.D. (1996) Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge, UK.
  • Rumelhart, D.E., Hinton, G.E., Williams, R.J. (1986) Learning representation by back-propagating errors. Nature, 323, 533 536.
  • Spitz, F. & Lek, S. (1999) Environmental impact prediction using neural network modelling. An example of wildlife damage. Journal of Applied Ecology, 36, 317 326.
  • Strahler, A.N. (1957) Quantitative analysis of watershed geomorphology. Transactions of the American Geophysical Union, 38, 913 920.
  • Suren, A.M. & Ormerod, S.J. (1998) Aquatic bryophytes in Himalayan streams: testing a distribution model in a highly heterogeneous environment. Freshwater Biology, 40, 697 716.
  • Sutherland, W.J. (1998) The effect of local change in habitat quality on populations of migratory species. Journal of Applied Ecology, 35, 418 421.
  • Venables, W.N. & Ripley, B.D. (1997) Modern Applied Statistics with S-PLUS, 2nd edn. Springer, New York, NY.
  • Wahlberg, N., Moilanen, A., Hanski, I. (1996) Predicting the occurrence of endangered species in fragmented landscapes. Science, 273, 1536 1538.
  • Walley, W.J. & Fontama, V.N. (1998) Neural network predictors of average score per taxon and number of families at unpolluted sites in Great Britain. Water Resources, 32, 613 622.
  • Williams, P., Humphries, C., Vanewright, D., Gaston, K. (1997) Descriptive and predictive approaches to biodiversity measurement. Trends in Ecology and Evolution, 12, 444 445.