Literature DB >> 25564013

Sensitivity of animals to chemical compounds links to metabolic rate.

Jan Baas1, Sebastiaan A L M Kooijman.   

Abstract

Ecotoxicological studies have shown considerable variation in species sensitivity for chemical compounds, but general patterns in sensitivity are still not known. A better understanding of this sensitivity is important in the context of environmental risk assessment but also in a more general ecological and evolutionary one. We investigated the metabolic rate or more precise the specific somatic maintenance (expressed in J cm(-3) d(-1), at a standardised body temperature of 20 °C) on the sensitivity of a species to chemical poisoning. The sensitivity of a species was expressed in terms of its threshold concentration for survival, the no effect concentrations (NEC, in µmol/L). Somatic maintenance data were based on the 'add-my-pet' database hosted by the VU University of Amsterdam. NECs were derived from the US-EPA ECOTOX database. We focussed on four pesticides; two that need a metabolic activation, Chlorpyrifos and Malathion, and two without metabolic activation, carbofuran and carbaryl. All four pesticides showed a similar response: a strong negative correlation between the specific somatic maintenance and the NEC. We discuss possible explanations, deviations and ecological implications.

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Year:  2015        PMID: 25564013     DOI: 10.1007/s10646-014-1413-5

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  18 in total

1.  Species sensitivity distributions: data and model choice.

Authors:  J R Wheeler; E P M Grist; K M Y Leung; D Morritt; M Crane
Journal:  Mar Pollut Bull       Date:  2002       Impact factor: 5.553

2.  Insecticide species sensitivity distributions: importance of test species selection and relevance to aquatic ecosystems.

Authors:  Lorraine Maltby; Naomi Blake; Theo C M Brock; Paul J van den Brink
Journal:  Environ Toxicol Chem       Date:  2005-02       Impact factor: 3.742

3.  Making sense of ecotoxicological test results: towards application of process-based models.

Authors:  Tjalling Jager; Evelyn H W Heugens; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2006-04-20       Impact factor: 2.823

4.  Using biological traits to predict species sensitivity to toxic substances.

Authors:  Donald J Baird; Paul J Van den Brink
Journal:  Ecotoxicol Environ Saf       Date:  2006-09-22       Impact factor: 6.291

5.  Novel view on predicting acute toxicity: decomposing toxicity data in species vulnerability and chemical potency.

Authors:  Tjalling Jager; Leo Posthuma; Dick de Zwart; Dik van de Meent
Journal:  Ecotoxicol Environ Saf       Date:  2007-05-09       Impact factor: 6.291

6.  Ecological risk assessment: from book-keeping to chemical stress ecology.

Authors:  Paul J Van den Brink
Journal:  Environ Sci Technol       Date:  2008-12-15       Impact factor: 9.028

7.  Understanding toxicity as processes in time.

Authors:  Jan Baas; Tjalling Jager; Bas Kooijman
Journal:  Sci Total Environ       Date:  2009-12-06       Impact factor: 7.963

8.  General unified threshold model of survival--a toxicokinetic-toxicodynamic framework for ecotoxicology.

Authors:  Tjalling Jager; Carlo Albert; Thomas G Preuss; Roman Ashauer
Journal:  Environ Sci Technol       Date:  2011-03-02       Impact factor: 9.028

9.  The bijection from data to parameter space with the standard DEB model quantifies the supply-demand spectrum.

Authors:  Konstadia Lika; Starrlight Augustine; Laure Pecquerie; Sebastiaan A L M Kooijman
Journal:  J Theor Biol       Date:  2014-03-21       Impact factor: 2.691

10.  Analyzing effects of pesticides on invertebrate communities in streams.

Authors:  Matthias Liess; Peter Carsten Von Der Ohe
Journal:  Environ Toxicol Chem       Date:  2005-04       Impact factor: 3.742

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  9 in total

1.  The comparative energetics of the ray-finned fish in an evolutionary context.

Authors:  Konstadia Lika; Starrlight Augustine; Sebastiaan A L M Kooijman
Journal:  Conserv Physiol       Date:  2022-07-05       Impact factor: 3.252

2.  The comparative energetics of the carnivorans and pangolins.

Authors:  Sebastiaan A L M Kooijman; Starrlight Augustine
Journal:  Conserv Physiol       Date:  2022-08-04       Impact factor: 3.252

3.  Guidance for Developing Amphibian Population Models for Ecological Risk Assessment.

Authors:  Jill Awkerman; Sandy Raimondo; Amelie Schmolke; Nika Galic; Pamela Rueda-Cediel; Katherine Kapo; Chiara Accolla; Maxime Vaugeois; Valery Forbes
Journal:  Integr Environ Assess Manag       Date:  2019-11-27       Impact factor: 3.084

4.  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

5.  Biodiversity mediates the effects of stressors but not nutrients on litter decomposition.

Authors:  Léa Beaumelle; Frederik De Laender; Nico Eisenhauer
Journal:  Elife       Date:  2020-06-26       Impact factor: 8.140

6.  BeeGUTS-A Toxicokinetic-Toxicodynamic Model for the Interpretation and Integration of Acute and Chronic Honey Bee Tests.

Authors:  Jan Baas; Benoit Goussen; Mark Miles; Thomas G Preuss; Ivo Roessink
Journal:  Environ Toxicol Chem       Date:  2022-08-04       Impact factor: 4.218

Review 7.  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

8.  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

9.  The AmP project: Comparing species on the basis of dynamic energy budget parameters.

Authors:  Gonçalo M Marques; Starrlight Augustine; Konstadia Lika; Laure Pecquerie; Tiago Domingos; Sebastiaan A L M Kooijman
Journal:  PLoS Comput Biol       Date:  2018-05-09       Impact factor: 4.475

  9 in total

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