ArticleEFSA journal. European Food Safety Authority2016
Recovery in environmental risk assessments at EFSA.
Article in EFSA journal. European Food Safety Authority, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Assessment of Population Relevance of Endocrine-sensitive Apical Endpoints in Fish Chronic Studies Using Individual-Based Models.Environmental science & technology · 2025Article
- The use of new approach methodologies for the environmental risk assessment of food and feed chemicals.Current opinion in environmental science & health · 2023Article
- Concerted Evaluation of Pesticides in Soils of Extensive Grassland Sites and Organic and Conventional Vegetable Fields Facilitates the Identification of Major Input Processes.Environmental science & technology · 2022Article
- Open Science in regulatory environmental risk assessment.Integrated environmental assessment and management · 2021Article
- A Simplified Population-Level Landscape Model Identifying Ecological Risk Drivers of Pesticide Applications, Part One: Case Study for Large Herbivorous Mammals.International journal of environmental research and public health · 2021Article
- Editorial: Microbial Ecotoxicology.Frontiers in microbiology · 2020Article
- Overcoming Challenges of Incorporating Higher Tier Data in Ecological Risk Assessments and Risk Management of Pesticides in the United States: Findings and Recommendations from the 2017 Workshop on Regulation and Innovation in Agriculture.Integrated environmental assessment and management · 2019Article
- Using problem formulation for fit-for-purpose pre-market environmental risk assessments of regulated stressors.EFSA journal. European Food Safety Authority · 2019Article
- Assessing the population relevance of endocrine-disrupting effects for nontarget vertebrates exposed to plant protection products.Integrated environmental assessment and management · 2019Article
- Scientific Opinion on the state of the science on pesticide risk assessment for amphibians and reptiles.EFSA journal. European Food Safety Authority · 2018Article
- Limits of Concern: suggestions for the operationalisation of a concept to determine the relevance of adverse effects in the ERA of GMOs.Environmental sciences Europe · 2018Article
- Guidance on the assessment of the biological relevance of data in scientific assessments.EFSA journal. European Food Safety Authority · 2017Article
- Scientific Opinion addressing the state of the science on risk assessment of plant protection products for in-soil organisms.EFSA journal. European Food Safety Authority · 2017Article
- Guidance to develop specific protection goals options for environmental risk assessment at EFSA, in relation to biodiversity and ecosystem services.EFSA journal. European Food Safety Authority · 2016Article
- Coverage of endangered species in environmental risk assessments at EFSA.EFSA journal. European Food Safety Authority · 2016Article
- Recovery in environmental risk assessments at EFSA.EFSA journal. European Food Safety Authority · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
EFSA performs environmental risk assessments (ERAs) for single potential stressors such as plant protection products, genetically modified organisms and feed additives and for invasive alien species that are harmful for plant health. In this risk assessment domain, the EFSA Scientific Committee recognises the importance of more integrated ERAs considering both the local and landscape scales, as well as the possible co-occurrence of multiple potential stressors that fall under the remit of EFSA, which are important when addressing ecological recovery. In this scientific opinion, the Scientific Committee gathered scientific knowledge on the potential for the recovery of non-target organisms for the further development of ERA. Current EFSA guidance documents and opinions were reviewed on how ecological recovery is addressed in ERA schemes. In addition, this scientific opinion is based on expert knowledge and data retrieved from the literature. Finally, the information presented in this opinion was reviewed by experts from the relevant EFSA Panels, European risk assessment bodies and through an open consultation requesting input from stakeholders. A conceptual framework was developed to address ecological recovery for any assessed products, and invasive alien species that are harmful for plant health. This framework proposes an integrative approach based on well-defined specific protection goals, scientific knowledge derived by means of experimentation, modelling and monitoring, and the selection of focal taxa, communities, processes and landscapes to develop environmental scenarios to allow the assessment of recovery of organisms and ecological processes at relevant spatial and temporal scales.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.