2020
DOI: 10.1002/ieam.4338
|View full text |Cite
|
Sign up to set email alerts
|

Mechanistic Effect Modeling of Earthworms in the Context of Pesticide Risk Assessment: Synthesis of the FORESEE Workshop

Abstract: Earthworms are important ecosystem engineers, and assessment of the risk of plant protection products toward them is part of the European environmental risk assessment (ERA). In the current ERA scheme, exposure and effects are represented simplistically and are not well integrated, resulting in uncertainty when the results are applied to ecosystems. Modeling offers a powerful tool to integrate the effects observed in lower tier laboratory studies with the environmental conditions under which exposure is expect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
17
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 18 publications
(17 citation statements)
references
References 53 publications
0
17
0
Order By: Relevance
“…Galic et al., 2010; Forbes et al., 2016; Larras et al., 2022) and workshops organised (e.g. Forbes et al., 2015; Hommen et al., 2016; Forbes et al., 2021) on their potential regulatory use. In addition, several case studies on mechanistic effect models have been published for wild species of birds (e.g.…”
Section: Integrated Exposure and Effect Assessment Tiers For Birds An...mentioning
confidence: 99%
“…Galic et al., 2010; Forbes et al., 2016; Larras et al., 2022) and workshops organised (e.g. Forbes et al., 2015; Hommen et al., 2016; Forbes et al., 2021) on their potential regulatory use. In addition, several case studies on mechanistic effect models have been published for wild species of birds (e.g.…”
Section: Integrated Exposure and Effect Assessment Tiers For Birds An...mentioning
confidence: 99%
“…The DEB model may be applied as a module in the chemical risk assessment (e.g. Forbes et al ., 2021 ; Roeben et al ., 2020 ) as well as in a conservation and environmental change context. In particular, our approach contributes to understanding important aspects of conservation physiology as highlighted by Cooke et al .…”
Section: Discussionmentioning
confidence: 99%
“…Fourth, identify those processes most critical in light of the biological level and spatiotemporal scale of prediction, as well as in light of the taxa, chemicals and potentially characteristics of the (eco)system under scrutiny (Figure 6[4]). Important processes and missing data might be identified and prioritised, respectively, in a collaborative effort, for example in workshops with participants from multidisciplinary backgrounds (Forbes et al, 2020). Also novel data science tools including artificial intelligence might strongly expand our prioritisation capacity in future (Pichler et al, 2020; Scowen et al, 2021).…”
Section: Data and Experimental Advances To Improve Predictionmentioning
confidence: 99%