
Improving the ecological relevance of metals risk assessment : population models for lab-to-population extrapolation of silver
(2022)
- Author
- Karel Vlaeminck, Kristi Weighman (UGent) , Karel Viaene, Patrick Van sprang and Karel De Schamphelaere (UGent)
- Organization
- Abstract
- We developed and applied a population model for silver toxicity to Daphnia magna. The calibrated D. magna DEB IBM was able to provide reasonable fits to individual level toxicity data for silver-exposed organisms using two of the four investigated PMoAs. Based on these individual level fits, decreased assimilation or increased growth costs are the most plausible PMoAs for silver toxicity to D. magna. When extrapolated to the population level, each of these two PMoAs gave rise to distinct compensatory mechanisms within a food-limited population at carrying capacity. Regardless of PMoA, the calibrated model consistently predicts that both D. magna population density and population biomass are approximately 4-6 fold less sensitive to silver exposure than the most sensitive individual endpoint (individual development rate) at the 10% effect level. Further individual level data is required to make a clear distinction in the likelihood of assimilation versus growth as the single most plausible PMoA. For example, physiological measurements of energy assimilation or data regarding growth and reproduction under varying food conditions would help to achieve more precise assessment of the relationship between individual and population level sensitivity. However, as both population level endpoints predict comparable EC10s, this distinction is not necessary in order to make comparisons between observed sensitivity and the individual level and predicted sensitivity at the population level.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HBZV32YDA58NHRFYQYYVXPB3
- MLA
- Vlaeminck, Karel, et al. Improving the Ecological Relevance of Metals Risk Assessment : Population Models for Lab-to-Population Extrapolation of Silver. Ghent University, 2022.
- APA
- Vlaeminck, K., Weighman, K., Viaene, K., Van sprang, P., & De Schamphelaere, K. (2022). Improving the ecological relevance of metals risk assessment : population models for lab-to-population extrapolation of silver. Ghent University.
- Chicago author-date
- Vlaeminck, Karel, Kristi Weighman, Karel Viaene, Patrick Van sprang, and Karel De Schamphelaere. 2022. “Improving the Ecological Relevance of Metals Risk Assessment : Population Models for Lab-to-Population Extrapolation of Silver.” Ghent University.
- Chicago author-date (all authors)
- Vlaeminck, Karel, Kristi Weighman, Karel Viaene, Patrick Van sprang, and Karel De Schamphelaere. 2022. “Improving the Ecological Relevance of Metals Risk Assessment : Population Models for Lab-to-Population Extrapolation of Silver.” Ghent University.
- Vancouver
- 1.Vlaeminck K, Weighman K, Viaene K, Van sprang P, De Schamphelaere K. Improving the ecological relevance of metals risk assessment : population models for lab-to-population extrapolation of silver. Ghent University; 2022.
- IEEE
- [1]K. Vlaeminck, K. Weighman, K. Viaene, P. Van sprang, and K. De Schamphelaere, “Improving the ecological relevance of metals risk assessment : population models for lab-to-population extrapolation of silver.” Ghent University, 2022.
@misc{01HBZV32YDA58NHRFYQYYVXPB3, abstract = {{We developed and applied a population model for silver toxicity to Daphnia magna. The calibrated D. magna DEB IBM was able to provide reasonable fits to individual level toxicity data for silver-exposed organisms using two of the four investigated PMoAs. Based on these individual level fits, decreased assimilation or increased growth costs are the most plausible PMoAs for silver toxicity to D. magna. When extrapolated to the population level, each of these two PMoAs gave rise to distinct compensatory mechanisms within a food-limited population at carrying capacity. Regardless of PMoA, the calibrated model consistently predicts that both D. magna population density and population biomass are approximately 4-6 fold less sensitive to silver exposure than the most sensitive individual endpoint (individual development rate) at the 10% effect level. Further individual level data is required to make a clear distinction in the likelihood of assimilation versus growth as the single most plausible PMoA. For example, physiological measurements of energy assimilation or data regarding growth and reproduction under varying food conditions would help to achieve more precise assessment of the relationship between individual and population level sensitivity. However, as both population level endpoints predict comparable EC10s, this distinction is not necessary in order to make comparisons between observed sensitivity and the individual level and predicted sensitivity at the population level.}}, author = {{Vlaeminck, Karel and Weighman, Kristi and Viaene, Karel and Van sprang, Patrick and De Schamphelaere, Karel}}, language = {{eng}}, pages = {{41}}, publisher = {{Ghent University}}, title = {{Improving the ecological relevance of metals risk assessment : population models for lab-to-population extrapolation of silver}}, year = {{2022}}, }