Higher than … or lower than ….? Evidence for the validity of the extrapolation of laboratory toxicity test results to predict the effects of chemicals and ionising radiation in the field. (January 2020)
- Record Type:
- Journal Article
- Title:
- Higher than … or lower than ….? Evidence for the validity of the extrapolation of laboratory toxicity test results to predict the effects of chemicals and ionising radiation in the field. (January 2020)
- Main Title:
- Higher than … or lower than ….? Evidence for the validity of the extrapolation of laboratory toxicity test results to predict the effects of chemicals and ionising radiation in the field
- Authors:
- Spurgeon, David J.
- Abstract:
- Abstract: Single species laboratory tests and associated species sensitivity distributions (SSDs) that utilise the resulting data can make a key contribution to efforts to prospective hazard assessments for pesticides, biocides, metals and ionising radiation for research and regulatory risk assessment. An assumption that underlies the single species based toxicity testing approach when combined in SSD models is that the assessments of sensitivities to chemical and ionising radiation measured across a range of species in the laboratory can inform on the likely effects on communities present in the field. Potential issues with the validity of this assumption were already recognised by Van Straalen and Denneman (1989) in their landmark paper on the SSD methodology. In this work, they identified eight major factors that could potentially compromise the extrapolation of laboratory toxicity data to the field. Factors covered a range of issues related to differences in chemistry (e.g. bioavailability, mixtures); environmental conditions (optimal, variable), ecological (compensatory, time-scale) and population genetic structure (adaptation, meta-population dynamics). This paper outlines the evidence pertaining to the influence of these different factors on toxicity in the laboratory as compared to the field focussing especially on terrestrial ecosystems. Through radiological and ecotoxicological research, evidence of the influence of each factor on the translation of observedAbstract: Single species laboratory tests and associated species sensitivity distributions (SSDs) that utilise the resulting data can make a key contribution to efforts to prospective hazard assessments for pesticides, biocides, metals and ionising radiation for research and regulatory risk assessment. An assumption that underlies the single species based toxicity testing approach when combined in SSD models is that the assessments of sensitivities to chemical and ionising radiation measured across a range of species in the laboratory can inform on the likely effects on communities present in the field. Potential issues with the validity of this assumption were already recognised by Van Straalen and Denneman (1989) in their landmark paper on the SSD methodology. In this work, they identified eight major factors that could potentially compromise the extrapolation of laboratory toxicity data to the field. Factors covered a range of issues related to differences in chemistry (e.g. bioavailability, mixtures); environmental conditions (optimal, variable), ecological (compensatory, time-scale) and population genetic structure (adaptation, meta-population dynamics). This paper outlines the evidence pertaining to the influence of these different factors on toxicity in the laboratory as compared to the field focussing especially on terrestrial ecosystems. Through radiological and ecotoxicological research, evidence of the influence of each factor on the translation of observed toxicity from the laboratory to field is available in all cases. The importance of some factors, such as differences in chemical bioavailability between laboratory tests and the field and the ubiquity of exposure to mixtures is clearly established and has some relevance to radiological protection. However, other factors such as the differences in test conditions (optimal vs sub-optimal) and the development of tolerance may be relevant on a case by case basis. When SSDs generated from laboratory tests have been used to predict chemical and ionising radiation effects in the field, results have indicated that they may often seem to under-predict impacts, although this may also be due to other factors such as the effects of other non-chemical stressors also affecting communities at polluted sites. A better understanding of the main factors affecting this extrapolation can help to reduce uncertainty during risk assessment. Highlights: Toxicity tests can play a key role in assessing chemicals and radionuclides hazards. Multiple factors can affect the validity of extrapolation of toxicity data from lab to field. Environmental conditions and exposure time may increase toxicity in the field. Bioavailability (aging) and population adaptation can reduce toxicity in the field. … (more)
- Is Part Of:
- Journal of environmental radioactivity. Volume 211(2020)
- Journal:
- Journal of environmental radioactivity
- Issue:
- Volume 211(2020)
- Issue Display:
- Volume 211, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 211
- Issue:
- 2020
- Issue Sort Value:
- 2020-0211-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- Radioactivity -- Periodicals
Radiation, Background -- Periodicals
Radioecology -- Periodicals
Radioactive pollution -- Periodicals
Environmental Pollutants -- Periodicals
Radioactive Pollutants -- Periodicals
Radioactivity -- Periodicals
Radioécologie -- Périodiques
Pollution radioactive -- Périodiques
Fond de rayonnement -- Périodiques
539.752 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0265931X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jenvrad.2018.06.022 ↗
- Languages:
- English
- ISSNs:
- 0265-931X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.392000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12457.xml