DAVY-BOWKER, John, Ralph T. CLARK, Richard K JOHNSON, Jiri KOKES, John F. MURPHY and Světlana ZAHRÁDKOVÁ. A comparison of the European Water Framework Directive physical typology and RIVPACS-type models as alternative methods of establishing reference conditions for benthic macroinvertebrates. Hydrobiologia. 2006, Neuveden., No 566, p. 91-105. ISSN 0018-8158.
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Basic information
Original name A comparison of the European Water Framework Directive physical typology and RIVPACS-type models as alternative methods of establishing reference conditions for benthic macroinvertebrates
Name in Czech Srovnání fyzikální typologie evropské Rámcové směrnice o vodách a modelů typu RIVPACS jako alternativních metod stanovení referenčních podmínek pro makrozoobentos
Authors DAVY-BOWKER, John (826 United Kingdom of Great Britain and Northern Ireland), Ralph T. CLARK (826 United Kingdom of Great Britain and Northern Ireland), Richard K JOHNSON (752 Sweden), Jiri KOKES (203 Czech Republic), John F. MURPHY (826 United Kingdom of Great Britain and Northern Ireland) and Světlana ZAHRÁDKOVÁ (203 Czech Republic, guarantor).
Edition Hydrobiologia, 2006, 0018-8158.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10000 1. Natural Sciences
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 1.049
RIV identification code RIV/00216224:14310/06:00018491
Organization unit Faculty of Science
UT WoS 000239102900007
Keywords in English reference condition; physical typology; RIVPACS; SWEPAC(SRI); PERLA
Tags PERLA, physical typology, reference condition, RIVPACS, SWEPAC(SRI)
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Světlana Zahrádková, Ph.D., učo 2277. Changed: 6/5/2009 13:31.
Abstract
The EU Water Framework Directive requires European Union Member States to establish 'type-specific biological reference conditions' for streams and rivers. Types can be defined by using either a fixed typology (System-A), defined by ecoregions and categories of altitude, catchment area and geology, or by means of an alternative characterisation (System-B) that can use a variety of physical and chemical factors. Several European countries also have existing RIVPACS-type models that give site (rather than stream type) specific predictions of benthic macroinvertebrate communities. In this paper we compare the Water Framework Directive (WFD) System-A physical typology and three existing European multivariate RIVPACS-type models as alternative methods of establishing reference conditions. This work is carried out in Great Britain - using RIVPACS, Sweden - using SWEPAC(SRI) and the Czech Republic - using PERLA. We found that in all three countries, all seasons and season combinations, and for all biotic indices tested, RIVPACS-type models were more effective (lower standard deviations of O/E ratios) than models based solely on the WFD System-A variables or null models (based on a single expectation for all sites). We also investigated the explanatory power of whole groups of WFD System-A variables and RIVPACS-type model variables, and the explanatory power of individual variables. We found that variables used in the RIVPACS-type models were often better correlates of macroinvertebrate community variation than the WFD System-A variables. We conclude that this is primarily because while the latter use very broad categories of map-derived variables, the former are based on continuous variables selected for their ecological significance.
Abstract (in Czech)
V práci je srovnáváno odvození referenčních podmínek pro makrozoobentos pomocí fyzikální typologie podle Rámcové směrnice o vodách a pomocí prediktivních, vícerozměrných metod typu britského přístupu RIVPACS (švédský SWEPACS a český systém PERLA.
Links
MSM0021622416, plan (intention)Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase
Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time
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