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Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of WFD EU Implementation in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00022142" target="_blank" >RIV/00216224:14310/07:00022142 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of WFD EU Implementation in the Czech Republic

  • Original language description

    The project ARROW (Assessment and Reference Reports of Water monitoring - http://www.cba.muni.cz/arrow/eng) is focused on the implementation of the EU Water Framework Directive in the monitoring of surface waters of the Czech Republic. The evaluation ofecological state of surface waters according to WFD EU depends on the methodology of analysis of biological communities. There are two main approaches with its own disadvantages and advantages which are thus combined in our system i) type specific approach with prediction of comprehensive indices in abiotic types of localities and ii) site specific predictive modeling of biological communities composition on which our paper is focused. The predictive modeling of the benthic macroinvertebrates could be considered as RIVPACS type model and works with well validated environmental gradient comprising both reference and contaminated (standard) sites. The methodology contains identification of indicative species and their relationship to stre

  • Czech name

    Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of

  • Czech description

    The project ARROW (Assessment and Reference Reports of Water monitoring - http://www.cba.muni.cz/arrow/eng) is focused on the implementation of the EU Water Framework Directive in the monitoring of surface waters of the Czech Republic. The evaluation ofecological state of surface waters according to WFD EU depends on the methodology of analysis of biological communities. There are two main approaches with its own disadvantages and advantages which are thus combined in our system i) type specific approach with prediction of comprehensive indices in abiotic types of localities and ii) site specific predictive modeling of biological communities composition on which our paper is focused. The predictive modeling of the benthic macroinvertebrates could be considered as RIVPACS type model and works with well validated environmental gradient comprising both reference and contaminated (standard) sites. The methodology contains identification of indicative species and their relationship to stre

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    6th International Symposium on Environmental Software Systems

  • ISBN

    978-3-901882-22-7

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    1-12

  • Publisher name

    The International Federation for Information Processing WG 5.11

  • Place of publication

    Guelph

  • Event location

    Praha

  • Event date

    May 22, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article