Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 417317
Title Towards a renewed research agenda in ecotoxicology
Author(s) Artigas, J.; Arts, G.H.P.; Babut, M.; Caracciolo, A.B.; Charles, S.; Chaumot, A.; Combourieu, B.; Dahllöf, I.; Despréaux, D.; Ferrari, B.; Friberg, N.; Garric, J.; Geffard, O.; Gourlay-Francé, C.; Hein, M.; Hjorth, M.; Krauss, M.; Lange, H.J. de; Lahr, J.; Lehtonen, K.K.; Lettieri, T.; Liess, M.; Lofts, S.; Mayer, P.; Morin, S.; Paschke, A.; Svendsen, C.; Usseglio-Polatera, P.; Brink, N.W. van den; Vindimian, E.; Williams, R.
Source Environmental Pollution 160 (2012). - ISSN 0269-7491 - p. 201 - 206.
DOI https://doi.org/10.1016/j.envpol.2011.08.011
Department(s) CWC - Environmental Risk Assessment
CE - Molecular Ecology Ecotoxicology and Wildlife Management
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) effect-directed analysis - risk-assessment - intrinsic variability - invertebrate traits - bacterial community - multiple stressors - ecological traits - european rivers - toxicity tests - bioavailability
Abstract New concerns about biodiversity, ecosystem services and human health triggered several new regulations increasing the need for sound ecotoxicological risk assessment. The PEER network aims to share its view on the research issues that this challenges. PEER scientists call for an improved biologically relevant exposure assessment. They promote comprehensive effect assessment at several biological levels. Biological traits should be used for Environmental risk assessment (ERA) as promising tools to better understand relationships between structure and functioning of ecosystems. The use of modern high throughput methods could also enhance the amount of data for a better risk assessment. Improved models coping with multiple stressors or biological levels are necessary to answer for a more scientifically based risk assessment. Those methods must be embedded within life cycle analysis or economical models for efficient regulations. Joint research programmes involving humanities with ecological sciences should be developed for a sound risk management.
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