Development and application of the SSD approach in scientific case studies for ecological risk assessment-Reference-Cited by-同舟云学术

Development and application of the SSD approach in scientific case studies for ecological risk assessment

Published:2016-06-30 Issue:9 Volume:35 Page:2149-2161
ISSN:0730-7268
Container-title:Environmental Toxicology and Chemistry
language:en
Short-container-title:Environ Toxicol Chem

Author:

Del Signore Anastasia¹,Hendriks A. Jan¹,Lenders H.J. Rob¹,Leuven Rob S.E.W.¹,Breure A.M.¹²

Affiliation:

1. Department of Environmental Science, Institute for Water and Wetland Research; Faculty of Science; Radboud University Nijmegen; Nijmegen The Netherlands

2. National Institute for Public Health and the Environment (RIVM); Bilthoven The Netherlands

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Environmental Chemistry

Reference127 articles.

1. Ecological risk assessment: Risk for what? How do we decide;Calow;Ecotox Environ Safe,1998

2. Current issues in statistics and models for ecotoxicological risk assessment;Van der Hoeven;Acta Biotheor,2004

3. A critique of the use of distribution-based extrapolation models in ecotoxicology;Forbes;Funct Ecol,1993

4. How to deal with 100,000+ substances, sites, and species: Overarching principles in environmental risk assessment;Hendriks;Environ Sci Technol,2013

5. The extrapolation problem and how population modeling can help;Forbes;Environ Toxicol Chem,2008

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