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
—