Literature DB >> 21919475

Some good reasons to ban ECx and related concepts in ecotoxicology.

Tjalling Jager1.   

Abstract

Mesh：

Year:  2011        PMID： 21919475     DOI： 10.1021/es2030559

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN： 0013-936X            Impact factor:   9.028


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  10 in total

1.  Survival data analyses in ecotoxicology: critical effect concentrations, methods and models. What should we use?

Authors:  Carole Forfait-Dubuc; Sandrine Charles; Elise Billoir; Marie Laure Delignette-Muller
Journal:  Ecotoxicology       Date:  2012-05       Impact factor: 2.823

2.  Reconsidering sufficient and optimal test design in acute toxicity testing.

Authors:  Tjalling Jager
Journal:  Ecotoxicology       Date:  2013-11-07       Impact factor: 2.823

3.  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

4.  The response of soil organism communities to the application of the insecticide lindane in terrestrial model ecosystems.

Authors:  B Scholz-Starke; A Beylich; T Moser; A Nikolakis; N Rumpler; A Schäffer; B Theißen; A Toschki; M Roß-Nickoll
Journal:  Ecotoxicology       Date:  2012-12-20       Impact factor: 2.823

5.  Toxicokinetic-toxicodynamic modelling of survival of Gammarus pulex in multiple pulse exposures to propiconazole: model assumptions, calibration data requirements and predictive power.

Authors:  Anna-Maija Nyman; Kristin Schirmer; Roman Ashauer
Journal:  Ecotoxicology       Date:  2012-05-05       Impact factor: 2.823

6.  Extending standard testing period in honeybees to predict lifespan impacts of pesticides and heavy metals using dynamic energy budget modelling.

Authors:  H Hesketh; E Lahive; A A Horton; A G Robinson; C Svendsen; A Rortais; J-L Dorne; J Baas; D J Spurgeon; M S Heard
Journal:  Sci Rep       Date:  2016-12-20       Impact factor: 4.379

7.  The application and limitations of exposure multiplication factors in sublethal effect modelling.

Authors:  Neil Sherborne; Tjalling Jager; Benoit Goussen; Marie Trijau; Roman Ashauer
Journal:  Sci Rep       Date:  2022-04-11       Impact factor: 4.379

8.  A method to predict and understand fish survival under dynamic chemical stress using standard ecotoxicity data.

Authors:  Roman Ashauer; Pernille Thorbek; Jacqui S Warinton; James R Wheeler; Steve Maund
Journal:  Environ Toxicol Chem       Date:  2013-03-04       Impact factor: 3.742

Review 9.  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

10.  Modelling survival: exposure pattern, species sensitivity and uncertainty.

Authors:  Roman Ashauer; Carlo Albert; Starrlight Augustine; Nina Cedergreen; Sandrine Charles; Virginie Ducrot; Andreas Focks; Faten Gabsi; André Gergs; Benoit Goussen; Tjalling Jager; Nynke I Kramer; Anna-Maija Nyman; Veronique Poulsen; Stefan Reichenberger; Ralf B Schäfer; Paul J Van den Brink; Karin Veltman; Sören Vogel; Elke I Zimmer; Thomas G Preuss
Journal:  Sci Rep       Date:  2016-07-06       Impact factor: 4.379
  10 in total

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