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Improving pesticide-use data for the EU

Authors:
  • Newcastle University and Benbrook Consulting Services (BCS)

Abstract

To the Editor — Access to pesticide-use data is essential to accurately evaluate the adverse effects of pesticides on human and ecosystem health. In Europe, applicators are usually required to record the location and date of pesticide applications1. A subset of these data is periodically sampled to produce heavily aggregated estimates of pesticide use, with spatial data reported to a national level. By contrast, in California all the data from applicators is reported in an openly accessible and highly temporally and spatially granular database2. The Californian approach has enabled the location of endangered species exposed to spray drift3, the monitoring of surface water pollution4, the determination of honeybee pesticide exposure5 and the identification of health effects from residential exposures to pesticides6. Such analyses are not possible within the European Union. ... The regulatory regime in the EU has demonstrated a willingness to allow academic findings to play decisive roles in the approval process of pesticides, as evidenced by the ban on three neonicotinoids after academics raised concerns about their effects on pollinators10,11. Access to high-quality pesticide-use data will help inform pesticide regulation and provide greater transparency12. Improving the tracking of pesticide use would facilitate the European Green Deal objective of reducing pesticide use 50% by 2030 and promote a move towards a more sustainable agri-food system.
Mesnage , R. Straw, E.A., Antoniou, M.N. Benbrook, C. Brown, M.J.F., Chauzat, M-J., Finger, R.,
Goulson, D., Leadbeater, E., López-Ballesteros, A., Möhring, N., Neumann, P., Stanley, D., Stout, J.C.,
Thompson, L.J., Topping, C.J., White, B., Zaller, J.G., Zioga, E. (2021). Improving pesticide-use data for
the EU. Nature Ecology & Evolution (2021). https://doi.org/10.1038/s41559-021-01574-1
You can access the article free here: https://rdcu.be/czv1g
... To cut the risks of pesticide pollution in half by 2030, as the conference of the parties has agreed (CBD, 2022), requires knowing how much pesticide is being used, and where. Accurate use data are essential for evaluating the adverse effects of pesticides on human and ecological health, and are a key part of a holistic approach to pesticide management policies (Möhring et al., 2020;Mesnage et al., 2021). Good pesticide use data are difficult to come by, however, prompting recent calls from scientists and policymakers to improve data accuracy, availability, and spatially explicit information on product use (Mesnage et al., 2021;EU, 2019). ...
... Accurate use data are essential for evaluating the adverse effects of pesticides on human and ecological health, and are a key part of a holistic approach to pesticide management policies (Möhring et al., 2020;Mesnage et al., 2021). Good pesticide use data are difficult to come by, however, prompting recent calls from scientists and policymakers to improve data accuracy, availability, and spatially explicit information on product use (Mesnage et al., 2021;EU, 2019). ...
... Publicly available data on what is being used where, in what volumes, and by whom is essential for environmental assessment and risk reduction, including the COP 15 Global Biodiversity Framework's target to reduce pesticide risks by 50% by 2030. Recent calls to improve pesticide use data in Europe note that these data are critical in order to target specific harms from pesticideslike drift, water pollution, residential exposures, and harms to pollinatorsand to understand when and why a certain policy has been effective (Möhring et al., 2020;Mesnage et al., 2021). Yet, as we have shown, even the most basic aggregate data have serious accuracy problems for most of the world, if they are available at all. ...
Article
Assessments of pesticide impacts globally and holistic policies to address them require accurate pesticide use data, but good use data are difficult to find. For comparable estimates across countries, researchers and poli-cymakers depend upon pesticide use data collected by the UN Food and Agriculture Organization (FAO). We analyze the FAO database and find declines in data reporting and data quality since 2007. We present a novel method that uses bilateral paired mirror trade statistics and an index of reporter reliability to add, update and/or replace data for 137 countries. The resulting Global Pesticide Use and Trade (GloPUT) database shows pesticide use in low and lower-middle income countries has been substantially underestimated. Over the last decade, global pesticide use grew 20% by volume; use in low-income countries grew by 153% over the same period. GloPUT estimates more accurately reflect social science findings on recent agrichemical supply chain restructuring and agrarian development, which indicate substantial increases in pesticide use. Significant issues with data reporting and quality mean that the impacts of recent changes in pesticide production, availability and adoption were not reflected in the FAO database, and, as a result, neither are they reflected in high profile environmental assessments.
... Ultimately, this would not only allow to extend and fine tune existing approaches but also to develop farm typologies that capture temporal and spatial dynamics. Access to temporally and spatially granular databases (e.g., IACS 5 data in the EU, or remote sensing data) could not only help to improve regulation (see e.g., Mesnage et al., 2021 for the case of pesticide regulation) but also to develop farm typologies that can inform policy making throughout the different stages of the policy process. More specifically, the combination of existing typologies with the use of unstructured data in machine learning approaches (see e.g., Storm et al., 2019;Wang et al., 2022) could leverage the temporal and spatial robustness of farm typologies. ...
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CONTEXT Farm typologies help to identify patterns across a wide range of farm systems and describe heterogeneity in agriculture concisely. They can also support the design of agricultural policies by providing information and knowledge about policy target groups. For example, voluntary agri-environmental schemes could be tailored to specific agricultural landscapes and farm types. Farm typologies, however, are often developed from scratch, with limited connection to previous studies and policy making. OBJECTIVE The objective of this study is to clarify the purposes of farm typologies in research and agricultural policy making and to develop a framework that allows to increase the usefulness and usability of farm typologies for agricultural policy making. METHODS Based on a review of 13 systematically identified overview studies on farm typologies, we develop a framework that establishes connections between the purposes of farm typologies along the different stages of the policy process. RESULTS AND CONCLUSIONS We find multiple purposes for farm typologies, the two most common of which are for understanding the characteristics, heterogeneity, and development of farm systems and for policy making. The newly developed framework suggests that connecting knowledge across these purposes could improve the validity, transferability, and relevance of farm typologies for agricultural policy making. Our framework also provides an entry point for encouraging cooperation between developers and users of typologies, and for the improvement of typologies through new data (including behavioural data) and methods such as machine learning. We conclude that future research can build on the existing work on farm typologies but must be aware of the specific challenges that are associated with the use of farm typologies in the policy process. SIGNIFICANCE Knowledge of the prospects and challenges of using farm typologies allows to increase the usefulness and usability of these typologies and can contribute to the design of targeted and tailored agricultural policy instruments. By increasing the acceptance, perceived fairness, and legitimacy, this can improve their effectiveness and efficiency, which is urgently needed for a successful transformation to a more sustainable agricultural sector.
... The identification and development of genetic resistance to this disease are the best means of managing the disease with an environmentally friendly, cost-effective, and sustainable approach. Due to the European Green Deal objectives, this process has gained even more speed [12]. However, many studies have shown that most of the wheat varieties cultivated in different regions of the world are susceptible to common bunt. ...
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Common bunt, caused by Tilletia laevis and T. caries, is one of the major wheat diseases in Türkiye and in many countries in the world. To control this disease, chemical seed treatment is commonly used; however, it may cause harm to human and environmental health. Therefore, genetic resistance to control common bunt in an environmentally friendly, cost-effective, and sustainable manner is the best choice. This study was conducted to determine the reactions of 102 bread wheat (Triticum aestivum L.) varieties with regard to their resistance to common bunt in field conditions over three consecutive years. Additionally, these varieties were molecularly screened with linked markers to Bt8, Bt9, Bt10, and Bt11. The infection rates ranged from 3.17 to 91.49%, 5.41 to 91.41%, 5.29 to 94.06%, and 6.85 to 90.30% in the growing seasons 2019–2020, 2020–2021, and 2021–2022 and overall, respectively. In molecular screening, Bt8 was detected in 2 of the varieties, Bt10 in 10 of them, and Bt11 in 15 of them. There was no variety carrying only Bt9. However, many gene combinations, such as Bt8 + Bt9, Bt8 + Bt11, Bt9 + Bt10, Bt9 + Bt11, Bt8 + Bt9 + Bt10, and Bt8 + Bt9 + Bt11, were determined. The varieties with a gene combination of Bt8 + Bt9 + Bt11 had the lowest infection rates. As a result, 65.68% of the varieties were very susceptible. Only 3.92% of them had moderately resistant reaction. These varieties could be used in breeding programs conducted for resistance to common bunt.
... Under the SUR, the farm-level pesticide logbooks will address critical data gaps 20 . These data will, for example, enable the benchmarking of pesticide use at the farm level to identify heterogeneity in pesticide use, which could inform interventions. ...
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Recent studies have estimated the potential yield impacts of pesticide reductions in the European Union. While these estimates guide policy design, they are often based on worst-case assumptions and rarely account for positive ecological feedbacks that would contribute to sustainable crop yields in the long term.
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In the pilot study “Kleingewässermonitoring” a comprehensive database was compiled on the pesticide contamination of small water bodies in the German agricultural landscape. The here presented in-depth analyses of the data aimed to identify driving factors for pesticide inputs in small streams, to assess the effectiveness of risk mitigation measures under field conditions and to provide further information on pesticide toxicity of single substances and mixtures as well. It was shown that vegetated buffer stripes can effectively reduce pesticide inputs and that intermittent ditches increase pesticide inputs into small streams. The large number of simultaneously found pesticides in the water samples underlines the additional risk for aquatic organisms caused by pesticide mixtures, which is so far not considered in the PPP approval procedure. A further monitoring campaign in 2021 supplements the data from 2018/2019 and shows a slow phase-out of the now banned neonicotinoids and the relevance of pyrethroids, which are increasingly used as substitutes for the neonicotinoids. The first evaluation of data on PPP use in the catchment areas of the monitoring sites indicates the connection between the use of pesticides on agricultural fields and concentrations found in the streams. This finding highlights the importance use data for the identification of driving factors for pesticide exposure and the validation of exposure models or mitigation measures. Recommendations for an adapted monitoring concept are presented on the basis of the results.
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