Literature DB >> 19969324

Understanding toxicity as processes in time.

Jan Baas1, Tjalling Jager, Bas Kooijman.   

Abstract

Studies in ecotoxicology usually focus on a single end point (typically mortality, growth, or reproduction) at a standardized exposure time. The exposure time is chosen irrespective of the properties of the chemical under scrutiny, but should depend on the organism of choice in combination with the compound(s) of interest. This paper discusses the typical patterns for toxic effects in time that can be observed for the most encountered endpoints growth reproduction and survival. Ignoring the fact that toxicity is a process in time can lead to severe bias in environmental risk assessment. We show that especially EC(x) values for sublethal endpoints can show very distinct patterns in time. We recommend that the test duration for survival as an endpoint should be extended till the incipient LC(50) is observed. Given the fact that toxicity data for single compounds show clear patterns in time, it is to be expected that effects of mixtures will also be strongly dependent on time. The few examples that have been published support this statement. Copyright 2009 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19969324     DOI: 10.1016/j.scitotenv.2009.10.066

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  22 in total

1.  Integrated approach to assessing the effects of soils polluted with heavy metals on a plant population.

Authors:  M J Gutiérrez-Ginés; J Pastor; A J Hernández
Journal:  Ecotoxicology       Date:  2012-05-24       Impact factor: 2.823

2.  Sensitivity of animals to chemical compounds links to metabolic rate.

Authors:  Jan Baas; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2015-01-07       Impact factor: 2.823

3.  Determining the sensitivity of the Antarctic amphipod Orchomenella pinguides to metals using a joint model of survival response to exposure concentration and duration.

Authors:  Bianca J Sfiligoj; Catherine K King; Steven G Candy; Julie A Mondon
Journal:  Ecotoxicology       Date:  2015-01-06       Impact factor: 2.823

4.  Extrapolating ecotoxicological effects from individuals to populations: a generic approach based on Dynamic Energy Budget theory and individual-based modeling.

Authors:  Benjamin T Martin; Tjalling Jager; Roger M Nisbet; Thomas G Preuss; Monika Hammers-Wirtz; Volker Grimm
Journal:  Ecotoxicology       Date:  2013-02-22       Impact factor: 2.823

5.  An energy-based model to analyze growth data of earthworms exposed to two fungicides.

Authors:  Sylvain Bart; Céline Pelosi; Sylvie Nélieu; Isabelle Lamy; Alexandre R R Péry
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-06       Impact factor: 4.223

6.  Variability in the dynamics of mortality and immobility responses of freshwater arthropods exposed to chlorpyrifos.

Authors:  Mascha N Rubach; Steven J H Crum; Paul J Van den Brink
Journal:  Arch Environ Contam Toxicol       Date:  2010-08-15       Impact factor: 2.804

7.  Assessment of toxicity using dehydrogenases activity and mathematical modeling.

Authors:  Konrad Matyja; Anna Małachowska-Jutsz; Anna K Mazur; Kazimierz Grabas
Journal:  Ecotoxicology       Date:  2016-03-28       Impact factor: 2.823

8.  Modeling physiological processes that relate toxicant exposure and bacterial population dynamics.

Authors:  Tin Klanjscek; Roger M Nisbet; John H Priester; Patricia A Holden
Journal:  PLoS One       Date:  2012-02-06       Impact factor: 3.240

9.  Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment.

Authors:  Cheryl A Murphy; Roger M Nisbet; Philipp Antczak; Natàlia Garcia-Reyero; Andre Gergs; Konstadia Lika; Teresa Mathews; Erik B Muller; Diane Nacci; Angela Peace; Christopher H Remien; Irvin R Schultz; Louise M Stevenson; Karen H Watanabe
Journal:  Integr Environ Assess Manag       Date:  2018-06-30       Impact factor: 3.084

Review 10.  The pros and cons of ecological risk assessment based on data from different levels of biological organization.

Authors:  Jason R Rohr; Christopher J Salice; Roger M Nisbet
Journal:  Crit Rev Toxicol       Date:  2016-06-24       Impact factor: 6.184

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.