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Otto M, Papastefanou P, Fahse L. Pressure from insect-resistant maize on protected butterflies and moths. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14222. [PMID: 37990833 DOI: 10.1111/cobi.14222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/31/2023] [Accepted: 09/21/2023] [Indexed: 11/23/2023]
Abstract
Intensification in agriculture affects many insect species, including butterflies. Insect-resistant crops, such as Bt (Bacillus thuringiensis) maize, which produces a toxin active against Lepidoptera, are an alternative to insecticide sprays. Genetically modified crops are regulated in most countries and require an environmental risk assessment. In the European Union, such assessments include the use of simulation models to predict the effects on nontarget Lepidoptera (NTL). To support the assessment of protected NTL, we extended an individual-based, stochastic, spatially explicit mathematical model (LepiX) to include a wider range of exposure scenarios, a species-sensitivity distribution, and an option for repeated exposure of individuals. We applied the model to transgenic maize DAS-1507, which expresses a high concentration of Bt toxin in pollen that may be consumed by NTL larvae on their host plants nearby. Even in the most conservative scenario without repeated exposure, mortality estimates for highly sensitive species ranged from 41% to 6% at distances of 10-1000 m from the nearest maize field. Repeated exposure can cause additional mortality and thus is relevant for the overall risk assessment. Uncertainties in both exposure and ecotoxicity estimates strongly influenced the predicted mortalities. Care should be taken to include these uncertainties in the model scenarios used for decision-making. In accordance with other modeling results, our simulations demonstrated that mean mortality may not be safe for protected species. With its high pollen expression, DAS-1507 maize may pose risks to sensitive and protected butterfly and moth species that may be difficult to manage. High expression of Bt toxin in pollen is unnecessary for controlling target pests. Consequently, we suggest that Bt maize with high pollen expression not be cultivated in regions where protected butterflies are to be conserved.
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Affiliation(s)
- Mathias Otto
- Federal Agency for Nature Conservation (BfN), Bonn, Germany
| | - Phillip Papastefanou
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Lorenz Fahse
- Institute for Environmental Sciences, University of Koblenz-Landau, Renamed Rhineland-Palatinate Technical University Kaiserlautern, Landau, Germany
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2
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Nicola MRD, Cattaneo I, Nathanail AV, Carnesecchi E, Astuto MC, Steinbach M, Williams AJ, Charles S, Gestin O, Lopes C, Lamonica D, Tarazona JV, Dorne JLCM. The use of new approach methodologies for the environmental risk assessment of food and feed chemicals. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2023; 31:1-8. [PMID: 36741274 PMCID: PMC9890323 DOI: 10.1016/j.coesh.2022.100416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
New Approach Methodologies (NAMs) provide tools for supporting both human and environmental risk assessment (HRA and ERA). This short review provides recent insights regarding the use of NAMs in ERA of food and feed chemicals. We highlight the usefulness of tiered methods supporting weight-of-evidence approaches in relation to problem formulation (i.e., data availability, time, and resource availability). In silico models, including quantitative structure activity relationship models, support filling data gaps when no chemical property or ecotoxicological data are available, and biologically-based models (e.g., toxicokinetic-toxicodynamic models, dynamic energy models, physiologically-based models and species sensitivity distributions) are applicable in more data rich situations, including landscape-based modelling approaches. Particular attention is given to provide practical examples to apply the approaches described in real-world settings. We conclude with future perspectives, with regards to the need for addressing complex challenges such as chemical mixtures and multiple stressors in a wide range of organisms and ecosystems.
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Affiliation(s)
- Matteo Riccardo Di Nicola
- IRCCS San Raffaele Hospital, Unit of Dermatology, Milan, Italy
- Asociación Herpetológica Española, Madrid, Spain
| | | | | | | | | | | | - Antony John Williams
- Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (U.S. EPA), Research Triangle Park, NC, USA
| | - Sandrine Charles
- University of Lyon, University Lyon 1, UMR CNRS 5558, Villeurbanne, France
| | - Ophélia Gestin
- University of Lyon, University Lyon 1, UMR CNRS 5558, Villeurbanne, France
- INRAE, Riverly, Ecotoxicology, Lyon, France
- University of La Rochelle, UMRi 7266, La Rochelle, France
| | - Christelle Lopes
- University of Lyon, University Lyon 1, UMR CNRS 5558, Villeurbanne, France
| | - Dominique Lamonica
- University of Lyon, University Lyon 1, UMR CNRS 5558, Villeurbanne, France
| | - Jose Vicente Tarazona
- Spanish National Environmental Health Centre, Instituto de Salud Carlos III, Ministry of Science and Innovation, 28220 Majadahonda, Madrid, Spain
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Astuto MC, Di Nicola MR, Tarazona JV, Rortais A, Devos Y, Liem AKD, Kass GEN, Bastaki M, Schoonjans R, Maggiore A, Charles S, Ratier A, Lopes C, Gestin O, Robinson T, Williams A, Kramer N, Carnesecchi E, Dorne JLCM. In Silico Methods for Environmental Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives. Methods Mol Biol 2022; 2425:589-636. [PMID: 35188648 DOI: 10.1007/978-1-0716-1960-5_23] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This chapter aims to introduce the reader to the basic principles of environmental risk assessment of chemicals and highlights the usefulness of tiered approaches within weight of evidence approaches in relation to problem formulation i.e., data availability, time and resource availability. In silico models are then introduced and include quantitative structure-activity relationship (QSAR) models, which support filling data gaps when no chemical property or ecotoxicological data are available. In addition, biologically-based models can be applied in more data rich situations and these include generic or species-specific models such as toxicokinetic-toxicodynamic models, dynamic energy budget models, physiologically based models, and models for ecosystem hazard assessment i.e. species sensitivity distributions and ultimately for landscape assessment i.e. landscape-based modeling approaches. Throughout this chapter, particular attention is given to provide practical examples supporting the application of such in silico models in real-world settings. Future perspectives are discussed to address environmental risk assessment in a more holistic manner particularly for relevant complex questions, such as the risk assessment of multiple stressors and the development of harmonized approaches to ultimately quantify the relative contribution and impact of single chemicals, multiple chemicals and multiple stressors on living organisms.
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Affiliation(s)
| | | | | | - A Rortais
- European Food Safety Authority, Parma, Italy
| | - Yann Devos
- European Food Safety Authority, Parma, Italy
| | | | | | | | | | | | | | | | | | | | | | - Antony Williams
- Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (U.S. EPA), Research Triangle Park, NC, USA
| | - Nynke Kramer
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Edoardo Carnesecchi
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
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Wolfram J, Stehle S, Bub S, Petschick LL, Schulz R. Water quality and ecological risks in European surface waters - Monitoring improves while water quality decreases. ENVIRONMENT INTERNATIONAL 2021; 152:106479. [PMID: 33684734 DOI: 10.1016/j.envint.2021.106479] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 06/12/2023]
Abstract
Aquatic ecosystems are at risk of being impaired by various organic chemicals, however comprehensive large-scale evaluations of waterbodies' status and trends are rare. Here, surface water monitoring data, gathered as part of the EU Water Framework Directive and comprising the occurrence of 352 organic contaminants (>8.3 mil. measurements; 2001-2015; 8213 sites) in 31 European countries, was used to evaluate past and current environmental risks for three aquatic species groups: fish, invertebrates, plants. Monitoring quality indices were defined per country and found to improve over time. Relationships became apparent between countries' monitoring quality index and their success in detecting contaminants. Across the EU, contaminants were more frequently found in recent years. Overall, 35.7% (n = 17,484) of sites exceeded at least one acute regulatory threshold level (RTL) each year, and average risks significantly increased over time for fish (τ = 0.498, p = 0.01) and aquatic invertebrates (τ = 0.429, p = 0.03). This indicates an increased chemical pressure to Europe's waterbodies and overall large-scale threshold exceedances. Pesticides were identified as the main risk drivers (>85% of RTL exceedances) with aquatic invertebrates being most acutely at risk in Europe. Agricultural land-use was clearly identified as the primary spatial driver of the observed aquatic risks throughout European surface waters. Issues in monitoring data heterogeneity were highlighted and also followed by subsequent improvement recommendations, strengthening future environmental quality assessments. Overall, aquatic ecosystem integrity remains acutely at risk across Europe, signaling the demand for continued improvements.
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Affiliation(s)
- Jakob Wolfram
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, D-76829 Landau, Germany
| | - Sebastian Stehle
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, D-76829 Landau, Germany; Eusserthal Ecosystem Research Station, University of Koblenz-Landau, Birkenthalstrasse 13, D-76857 Eusserthal, Germany
| | - Sascha Bub
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, D-76829 Landau, Germany
| | - Lara L Petschick
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, D-76829 Landau, Germany
| | - Ralf Schulz
- iES Landau, Institute for Environmental Sciences, University of Koblenz-Landau, Fortstrasse 7, D-76829 Landau, Germany.
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Eijsackers H, Maboeta M. Do Endemic Soil Fauna Species Deserve Extra Protection for Adverse Heavy Metal Conditions? REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 258:55-71. [PMID: 34482441 DOI: 10.1007/398_2021_72] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The concept of Ecotoxicological Species Sensitivity Distributions, as used in EU and US, to derive environmental standards for contaminants, starts from the assumption that by protecting the majority of species (95% confidence interval) all species will be protected. Nevertheless, 5% of the species outside the confidence interval might become harmed; half of it being the most sensitive for the particular compound tested. With respect to protection of rare endemic species it is not clear, however, if contamination is a driving factor for endemicity. The aim of this paper is to explore whether endemic and rare species deserve extra protection from adverse environmental conditions. To this end, a brief overview of the various forms of endemism, their relation to environmental stress factors and the distribution of endemic species is discussed. Further, the sensitivities of these species towards environmental stress factors are analysed, in order to conclude if and how endemic species could be better protected against environmental stress factors. This was achieved by specifically focusing on the potential impacts of metalliferous soils, mining, the treatment of mined soil and the storage of treated mine waste. It is concluded that at present there are some signals about specific sensitivities, but the database is much too small for a definite conclusion about adverse environmental factors as a threat to endemic species. The data gap has to be filled in with experimental tests with endemic species. This is hampered by the protection status of these endemic, rare species. Recommendations and derived activities are proposed to address this.
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Affiliation(s)
- Herman Eijsackers
- Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa.
| | - Mark Maboeta
- Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa.
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Aguilera J, Aguilera‐Gomez M, Barrucci F, Cocconcelli PS, Davies H, Denslow N, Lou Dorne J, Grohmann L, Herman L, Hogstrand C, Kass GEN, Kille P, Kleter G, Nogué F, Plant NJ, Ramon M, Schoonjans R, Waigmann E, Wright MC. EFSA Scientific Colloquium 24 – 'omics in risk assessment: state of the art and next steps. ACTA ACUST UNITED AC 2018. [DOI: 10.2903/sp.efsa.2018.en-1512] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | - Lutz Grohmann
- Federal Office of Consumer Protection and Food Safety
| | | | | | | | | | | | - Fabien Nogué
- French National Institute for Agricultural Research INRA
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Streissl F, Egsmose M, Tarazona JV. Linking pesticide marketing authorisations with environmental impact assessments through realistic landscape risk assessment paradigms. ECOTOXICOLOGY (LONDON, ENGLAND) 2018; 27:980-991. [PMID: 29992398 DOI: 10.1007/s10646-018-1962-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/26/2018] [Indexed: 06/08/2023]
Abstract
Each year, the European Food Safety Authority, supported by a network of experts in the EU Member States, assesses and publishes the environmental risks of 30-40 pesticides active substances. The assessments support hundreds of national risk evaluations for marketing (re-)authorisations of Plant Protection Products. These prospective regulatory evaluations are based on worst-case scenarios in order to provide the high level of protection required by the EU legislations, and establishes the conditions for a correct use of the products including risk mitigations options. However, recent publications suggest that the desired high level of protection may not be achieved with the current risk assessment paradigm. The consideration of larger spatial scales and multiple stressors, including different pesticide uses, could improve the risk assessment process. A next step is the use of these larger spatial scales for evidence-based assessments, evaluating the overall impact of pesticide use on the European environment and biodiversity. Reaching this level would provide science-based support to the National Plans on sustainable use of pesticides and to the broader EU policies defined in the EU Environmental Action Programmes. Recent technological developments, as well as policy efforts, have solved two of the key issues blocking this progress in the past. Data availability and technical capacity for handling Big Data are no longer an unaffordable obstacle. The current proposal presents an alternative environmental risk assessment paradigm, integrating use patterns and pesticides properties with landscape ecotypes and eco-regions, covering the variability of the European agro-environmental conditions. The paradigm is suggested to be implemented in a spatially explicit conceptual model, using the ecosystem services approach and vulnerable key driver species to represent the service providing units. This approach would allow mapping the likelihood and magnitude of the impact of pesticide use on ecosystems functions, environmental resources, and biodiversity at the EU scale.
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Affiliation(s)
- Franz Streissl
- Pesticides Unit, European Food Safety Authority, Parma, Italy.
| | - Mark Egsmose
- Pesticides Unit, European Food Safety Authority, Parma, Italy
| | - José V Tarazona
- Pesticides Unit, European Food Safety Authority, Parma, Italy
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Ockleford C, Adriaanse P, Berny P, Brock T, Duquesne S, Grilli S, Hernandez-Jerez AF, Bennekou SH, Klein M, Kuhl T, Laskowski R, Machera K, Pelkonen O, Pieper S, Stemmer M, Sundh I, Teodorovic I, Tiktak A, Topping CJ, Wolterink G, Aldrich A, Berg C, Ortiz-Santaliestra M, Weir S, Streissl F, Smith RH. Scientific Opinion on the state of the science on pesticide risk assessment for amphibians and reptiles. EFSA J 2018. [PMID: 32625798 DOI: 10.2903/j.efsa.2018.5125issn] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023] Open
Abstract
Following a request from EFSA, the Panel on Plant Protection Products and their Residues developed an opinion on the science to support the potential development of a risk assessment scheme of plant protection products for amphibians and reptiles. The coverage of the risk to amphibians and reptiles by current risk assessments for other vertebrate groups was investigated. Available test methods and exposure models were reviewed with regard to their applicability to amphibians and reptiles. Proposals were made for specific protection goals aiming to protect important ecosystem services and taking into consideration the regulatory framework and existing protection goals for other vertebrates. Uncertainties, knowledge gaps and research needs were highlighted.
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Ockleford C, Adriaanse P, Berny P, Brock T, Duquesne S, Grilli S, Hernandez-Jerez AF, Bennekou SH, Klein M, Kuhl T, Laskowski R, Machera K, Pelkonen O, Pieper S, Stemmer M, Sundh I, Teodorovic I, Tiktak A, Topping CJ, Wolterink G, Craig P, de Jong F, Manachini B, Sousa P, Swarowsky K, Auteri D, Arena M, Rob S. Scientific Opinion addressing the state of the science on risk assessment of plant protection products for in-soil organisms. EFSA J 2017; 15:e04690. [PMID: 32625401 PMCID: PMC7009882 DOI: 10.2903/j.efsa.2017.4690] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Following a request from EFSA, the Panel on Plant Protection Products and their Residues developed an opinion on the science behind the risk assessment of plant protection products for in-soil organisms. The current risk assessment scheme is reviewed, taking into account new regulatory frameworks and scientific developments. Proposals are made for specific protection goals for in-soil organisms being key drivers for relevant ecosystem services in agricultural landscapes such as nutrient cycling, soil structure, pest control and biodiversity. Considering the time-scales and biological processes related to the dispersal of the majority of in-soil organisms compared to terrestrial non-target arthropods living above soil, the Panel proposes that in-soil environmental risk assessments are made at in- and off-field scale considering field boundary levels. A new testing strategy which takes into account the relevant exposure routes for in-soil organisms and the potential direct and indirect effects is proposed. In order to address species recovery and long-term impacts of PPPs, the use of population models is also proposed.
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10
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Guidance to develop specific protection goals options for environmental risk assessment at EFSA, in relation to biodiversity and ecosystem services. EFSA J 2016. [DOI: 10.2903/j.efsa.2016.4499] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
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