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Ecorelevance integration report on population modeling : integration of population modeling results for 11 species into an ecological modeling based laboratory to population effect extrapolation (ECOPEX) factor to perform an ecological relevancy normalization of the HC5 for copper and zinc

Karel De Schamphelaere (UGent) , Simon Hansul, Sharon Janssen, Patrick Van Sprang, Karel Vlaeminck, Kristi Weighman (UGent) and Karel Viaene
(2021)
Author
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Abstract
Within the ECORELEVANCE project, population models for 11 species have been developed for copper and zinc. An overview of all species and model types is provided in Table 1. The aim of this integration report is to provide a quantitative summary of the difference between EC10s (or NOECs) observed for conventional (mostly individual-level) laboratory toxicity test endpoints and EC10s (or NOECs) predicted for population-level endpoints. A generic approach is presented to apply this information to species sensitivity distributions (SSD), in order to perform an “ecological relevancy normalization” of the HC5. The approach is analogous to bioavailability normalization approaches from the early 2000’s, in which the nonbioavailability normalized HC5 was corrected by a generic bioavailability factor (BioF), derived from bioavailability models for only three species (an algae, a daphnid, and a fish). In this report we derive an ecological modeling based laboratory to population effect extrapolation factor (short: the ECOPEX-factor) for copper and zinc, based on the modeling results reported in our previous ECORELEVANCE work, with 11 species. Overall, we conclude that the population-level is on average 1.9 and 1.7-fold less sensitive to copper and zinc, respectively, than the individual (or laboratory) level, which could be implemented in generic assessments. However, for more specific, and higher tier assessments, our models are well equipped to deal both with uncertainties and the effects of several external factors on population-level effects for several species. Population models can thus support metals risk assessment to become more ecologically relevant.

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Citation

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MLA
De Schamphelaere, Karel, et al. Ecorelevance Integration Report on Population Modeling : Integration of Population Modeling Results for 11 Species into an Ecological Modeling Based Laboratory to Population Effect Extrapolation (ECOPEX) Factor to Perform an Ecological Relevancy Normalization of the HC5 for Copper and Zinc. 2021.
APA
De Schamphelaere, K., Hansul, S., Janssen, S., Van Sprang, P., Vlaeminck, K., Weighman, K., & Viaene, K. (2021). Ecorelevance integration report on population modeling : integration of population modeling results for 11 species into an ecological modeling based laboratory to population effect extrapolation (ECOPEX) factor to perform an ecological relevancy normalization of the HC5 for copper and zinc.
Chicago author-date
De Schamphelaere, Karel, Simon Hansul, Sharon Janssen, Patrick Van Sprang, Karel Vlaeminck, Kristi Weighman, and Karel Viaene. 2021. “Ecorelevance Integration Report on Population Modeling : Integration of Population Modeling Results for 11 Species into an Ecological Modeling Based Laboratory to Population Effect Extrapolation (ECOPEX) Factor to Perform an Ecological Relevancy Normalization of the HC5 for Copper and Zinc.”
Chicago author-date (all authors)
De Schamphelaere, Karel, Simon Hansul, Sharon Janssen, Patrick Van Sprang, Karel Vlaeminck, Kristi Weighman, and Karel Viaene. 2021. “Ecorelevance Integration Report on Population Modeling : Integration of Population Modeling Results for 11 Species into an Ecological Modeling Based Laboratory to Population Effect Extrapolation (ECOPEX) Factor to Perform an Ecological Relevancy Normalization of the HC5 for Copper and Zinc.”
Vancouver
1.
De Schamphelaere K, Hansul S, Janssen S, Van Sprang P, Vlaeminck K, Weighman K, et al. Ecorelevance integration report on population modeling : integration of population modeling results for 11 species into an ecological modeling based laboratory to population effect extrapolation (ECOPEX) factor to perform an ecological relevancy normalization of the HC5 for copper and zinc. 2021.
IEEE
[1]
K. De Schamphelaere et al., “Ecorelevance integration report on population modeling : integration of population modeling results for 11 species into an ecological modeling based laboratory to population effect extrapolation (ECOPEX) factor to perform an ecological relevancy normalization of the HC5 for copper and zinc.” 2021.
@misc{01HBZVRXYCYV7EC7K1CP4KM6WX,
  abstract     = {{Within the ECORELEVANCE project, population models for 11 species have been developed for copper and zinc. An overview of all species and model types is provided in Table 1. The aim of this integration report is to provide a quantitative summary of the difference between EC10s (or NOECs) observed for conventional (mostly individual-level) laboratory toxicity test endpoints and EC10s (or NOECs) predicted for population-level endpoints. A generic approach is presented to apply this information to species sensitivity distributions (SSD), in order to perform an “ecological relevancy normalization” of the HC5. The approach is analogous to bioavailability normalization approaches from the early 2000’s, in which the nonbioavailability normalized HC5 was corrected by a generic bioavailability factor (BioF), derived from bioavailability models for only three species (an algae, a daphnid, and a fish). In this report we derive an ecological modeling based laboratory to population effect extrapolation factor (short: the ECOPEX-factor) for copper and zinc, based on the modeling results reported in our previous ECORELEVANCE work, with 11 species.
Overall, we conclude that the population-level is on average 1.9 and 1.7-fold less sensitive to copper and zinc, respectively, than the individual (or laboratory) level, which could be implemented in generic assessments. However, for more specific, and higher tier assessments, our models are well equipped to deal both with uncertainties and the effects of several external factors on population-level effects for several species. Population models can thus support metals risk assessment to become more ecologically relevant.}},
  author       = {{De Schamphelaere, Karel and Hansul, Simon and Janssen, Sharon and Van Sprang, Patrick and Vlaeminck, Karel and Weighman, Kristi and Viaene, Karel}},
  language     = {{eng}},
  pages        = {{36}},
  title        = {{Ecorelevance integration report on population modeling : integration of population modeling results for 11 species into an ecological modeling based laboratory to population effect extrapolation (ECOPEX) factor to perform an ecological relevancy normalization of the HC5 for copper and zinc}},
  year         = {{2021}},
}