Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of WFD EU Implementation in the Czech Republic
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Predictive Modeling of Biological Communities in Biomonitoring Network: Case Study of ARROW Project of WFD EU Implementation in the Czech Republic
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
EH - Ekologie – společenstva
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2007
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
6th International Symposium on Environmental Software Systems
ISBN
978-3-901882-22-7
ISSN
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e-ISSN
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Počet stran výsledku
11
Strana od-do
1-12
Název nakladatele
The International Federation for Information Processing WG 5.11
Místo vydání
Guelph
Místo konání akce
Praha
Datum konání akce
22. 5. 2007
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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