SMETANOVÁ, Soňa, Luděk BLÁHA, Matthias LIESS, Ralf B. SCHAFER and Mikhail A. BEKETOV. Do predictions from Species Sensitivity Distributions match with field data? Environmental Pollution. OXFORD, OXON, ENGLAND: ELSEVIER SCI LTD, 2014, vol. 189, JUN 2014, p. 126-133. ISSN 0269-7491. Available from: https://dx.doi.org/10.1016/j.envpol.2014.03.002.
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Basic information
Original name Do predictions from Species Sensitivity Distributions match with field data?
Authors SMETANOVÁ, Soňa (203 Czech Republic, belonging to the institution), Luděk BLÁHA (203 Czech Republic, belonging to the institution), Matthias LIESS (276 Germany), Ralf B. SCHAFER (276 Germany) and Mikhail A. BEKETOV (276 Germany, guarantor).
Edition Environmental Pollution, OXFORD, OXON, ENGLAND, ELSEVIER SCI LTD, 2014, 0269-7491.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30304 Public and environmental health
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.143
RIV identification code RIV/00216224:14310/14:00079337
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1016/j.envpol.2014.03.002
UT WoS 000336466900017
Keywords in English Pollution; Risk assessment; Freshwater; Rivers; Statistical modelling
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Ing. Filip Vaculovič, učo 233342. Changed: 2/4/2015 13:37.
Abstract
Species Sensitivity Distribution (SSD) is a statistical model that can be used to predict effects of contaminants on biological communities, but only few comparisons of this model with field studies have been conducted so far. In the present study we used measured pesticides concentrations from streams in Germany, France, and Finland, and we used SSD to calculate msPAF (multiple substance potentially affected fraction) values based on maximum toxic stress at localities. We compared these SSD-based predictions with the actual effects on stream invertebrates quantified by the SPEAR(pesticides) . The results show that the msPAFs correlated well with the bioindicator, however, the generally accepted SSD threshold msPAF of 0.05 (5% of species are predicted to be affected) severely underestimated the observed effects (msPAF values causing significant effects are 2-1000-times lower). These results demonstrate that validation with field data is required to define the appropriate thresholds for SSD predictions. (C) 2014 Elsevier Ltd. All rights reserved.
Links
LO1214, research and development projectName: Centrum pro výzkum toxických látek v prostředí (Acronym: RECETOX)
Investor: Ministry of Education, Youth and Sports of the CR
7E09085, research and development projectName: Development of rehabilitation technologies and approaches for multipressured degraded waters and the integration of their impact on river basin management
Investor: Ministry of Education, Youth and Sports of the CR, Development of rehabilitation technologies and approaches for multipressured degraded waters and the integration of their impact on river basin management
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