rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Modelling Community Structure in Freshwater Ecosystems
  name:
    name part: Lek, Sovan.
    role:
      role term: editor.
  name:
    name part: Scardi, Michele.
    role:
      role term: editor.
  name:
    name part: Verdonschot, Piet F.M.
    role:
      role term: editor.
  name:
    name part: Descy, Jean-Pierre.
    role:
      role term: editor.
  name:
    name part: Park, Young-Seuk.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 518 p. online resource.
  abstract: The landmass on which we live is an integral part of our water catchment. Any human - tivity will inevitably have some consequences on the availability and composition of fresh waters. These consequences are becoming increasingly important and detectable as the - man population grows. The problem is to be addressed at the global scale, as frequently, decisions made have inter-regional and international impacts, and must therefore be coor- nated. In a number of European Member States, for example, the availability of water - sources depends on the activities of other upstream countries. The demand for fresh water in Europe, as well as in the world, is increasing. There is an upward pressure on European water demand for public supplies (drinking water, recreation, etc. ), for industry, and for - rigated agriculture. The ecological impacts of different uses are complex, and currently not always predictable. This book should help planners in their decisions on different water management options for human use. Water, of course, is not only relevant as a resource, exploited for human activities, but it is also relevant to aquatic ecosystems and to their quality. Preservation and restoration of the ecological quality of these ecosystems have a major social impact, as it has been stressed in several European Community actions.
  table of contents: Fish community assemblages -- Patterning riverine fish assemblages using an unsupervised neural network -- Predicting fish assemblages in France and evaluating the influence of their environmental variables -- Fish diversity conservation and river restoration in southwest France: a review -- Modelling of freshwater fish and macro-crustacean assemblages for biological assessment in New Zealand -- A Comparison of various fitting techniques for predicting fish yield in Ubolratana reservoir (Thailand) from a time series data -- Patterning spatial variations in fish assemblage structures and diversity in the Pilica River system -- Optimisation of artificial neural networks for predicting fish assemblages in rivers -- General introduction -- Macroinvertebrate community assemblages -- Sensitivity and robustness of a stream model based on artificial neural networks for the simulation of different management scenarios -- A neural network approach to the prediction of benthic macroinvertebrate fauna composition in rivers -- Predicting Dutch macroinvertebrate species richness and functional feeding groups using five modelling techniques -- Comparison of clustering and ordination methods implemented to the full and partial data of benthic macroinvertebrate communities in streams and channels -- Prediction of macroinvertebrate diversity of freshwater bodies by adaptive learning algorithms -- Hierarchical patterning of benthic macroinvertebrate communities using unsupervised artificial neural networks -- Species spatial distribution and richness of stream insects in south-western France using artificial neural networks with potential use for biosurveillance -- Patterning community changes in benthic macroinvertebrates in a polluted stream by using artificial neural networks -- Patterning, predicting stream macroinvertebrate assemblages in Victoria (Australia) using artificial neural networks and genetic algorithms -- Using bioindicators to assess rivers in Europe: An overview -- …
  note: edited by Sovan Lek, Michele Scardi, Piet F.M. Verdonschot, Jean-Pierre Descy, Young-Seuk Park.
  subject:
    topic: Environment
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Applied ecology
  subject:
    topic: Ecosystems
  subject:
    topic: Geoecology
  subject:
    topic: Environmental geology
  subject:
    topic: Environmental sciences
  subject:
    topic: Ecotoxicology
  subject:
    topic: Environment
  subject:
    topic: Ecotoxicology
  subject:
    topic: Ecosystems
  subject:
    topic: Geoecology/Natural Processes
  subject:
    topic: Applied Ecology
  subject:
    topic: Math. Appl. in Environmental Science
  subject:
    topic: Computer Appl. in Life Sciences
  classification: GE1-350
  classification: 571.95
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540268949
  identifier: http://dx.doi.org/10.1007/b138251
  record info:
    record creation date: 100301
    record change date: 20151204175847.0
    record identifier: 978-3-540-26894-9