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Cross-species extrapolation of chemical sensitivity
- Source :
- Science of the Total Environment 753 (2021), Science of the Total Environment, 753
- Publication Year :
- 2021
-
Abstract
- Ecosystems are usually populated by many species. Each of these species carries the potential to show a different sensitivity towards all of the numerous chemical compounds that can be present in their environment. Since experimentally testing all possible species-chemical combinations is impossible, the ecological risk assessment of chemicals largely depends on cross-species extrapolation approaches. This review overviews currently existing cross-species extrapolation methodologies, and discusses i) how species sensitivity could be described, ii) which predictors might be useful for explaining differences in species sensitivity, and iii) which statistical considerations are important. We argue that risk assessment can benefit most from modelling approaches when sensitivity is described based on ecologically relevant and robust effects. Additionally, specific attention should be paid to heterogeneity of the training data (e.g. exposure duration, pH, temperature), since this strongly influences the reliability of the resulting models. Regarding which predictors are useful for explaining differences in species sensitivity, we review interspecies-correlation, relatedness-based, traits-based, and genomic-based extrapolation methods, describing the amount of mechanistic information the predictors contain, the amount of input data the models require, and the extent to which the different methods provide protection for ecological entities. We develop a conceptual framework, incorporating the strengths of each of the methods described. Finally, the discussion of statistical considerations reveals that regardless of the method used, statistically significant models can be found, although the usefulness, applicability, and understanding of these models varies considerably. We therefore recommend publication of scientific code along with scientific studies to simultaneously clarify modelling choices and enable elaboration on existing work. In general, this review specifies the data requirements of different cross-species extrapolation methods, aiming to make regulators and publishers more aware that access to raw- and meta-data needs to be improved to make future cross-species extrapolation efforts successful, enabling their integration into the regulatory environment.
- Subjects :
- Environmental Risk Assessment
Aquatic Ecology and Water Quality Management
Environmental Engineering
010504 meteorology & atmospheric sciences
Computer science
Cross species extrapolation
Extrapolation
010501 environmental sciences
01 natural sciences
Environmental Chemistry
Sensitivity (control systems)
Waste Management and Disposal
Chemical sensitivity
Reliability (statistics)
0105 earth and related environmental sciences
WIMEK
Training set
Genomics
Aquatische Ecologie en Waterkwaliteitsbeheer
Traits
Pollution
Interspecies correlation
Risk analysis (engineering)
Conceptual framework
Relatedness
Risk assessment
Cross-species extrapolation
Subjects
Details
- Language :
- English
- ISSN :
- 00489697
- Database :
- OpenAIRE
- Journal :
- Science of the Total Environment 753 (2021), Science of the Total Environment, 753
- Accession number :
- edsair.doi.dedup.....a06a616f1563c02d8ab5139d3b8d2c11