Social research in support of a systems-based approach to the environmental risk assessment of multiple stressors in honey bees

التفاصيل البيبلوغرافية
العنوان: Social research in support of a systems-based approach to the environmental risk assessment of multiple stressors in honey bees
المؤلفون: Maxim, Laura, Mazzocchi, Mario, Van Den Broucke, Stephan, Zollo, Fabiana, Smith, Anthony, Rortais, Agnes, More, Simon, Vrbos, Domagoj, Zamariola, Giorgia
المساهمون: Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés (LISIS), Institut National de la Recherche Agronomique (INRA)-Université Paris-Est Marne-la-Vallée (UPEM)-ESIEE Paris-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Gustave Eiffel
المصدر: EFSA Journal
EFSA Journal, European Food Safety Authority, 2021, ⟨10.2903/j.efsa.2021.6607⟩
EFSA Journal, European Food Safety Authority, 2021, 19 (5), ⟨10.2903/j.efsa.2021.6607⟩
بيانات النشر: HAL CCSD, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Agent-based simulation, Bee biological agents, Sentinel hives, EU Bee Partnership, Apis mellifera, ComputingMilieux_MISCELLANEOUS, ApisRAM, Plant protection products, [SHS]Humanities and Social Sciences
الوصف: International audience; The European Parliament requested EFSA to develop a holistic risk assessment of multiple stressors in honey bees. To this end, a systems-based approach that is composed of two core components: a monitoring system and a modelling system are put forward with honey bees taken as a showcase. Key developments in the current scientific opinion (including systematic data collection from sentinel beehives and an agent-based simulation) have the potential to substantially contribute to future development of environmental risk assessments of multiple stressors at larger spatial and temporal scales. For the monitoring, sentinel hives would be placed across representative climatic zones and landscapes in the EU and connected to a platform for data storage and analysis. Data on bee health status, chemical residues and the immediate or broader landscape around the hives would be collected in a harmonised and standardised manner, and would be used to inform stakeholders, and the modelling system, ApisRAM, which simulates as accurately as possible a honey bee colony. ApisRAM would be calibrated and continuously updated with incoming monitoring data and emerging scientific knowledge from research. It will be a supportive tool for beekeeping, farming, research, risk assessment and risk management, and it will benefit the wider society. A societal outlook on the proposed approach is included and this was conducted with targeted social science research with 64 beekeepers from eight EU Member States and with members of the EU Bee Partnership. Gaps and opportunities are identified to further implement the approach. Conclusions and recommendations are made on a way forward, both for the application of the approach and its use in a broader context.
اللغة: English
تدمد: 2314-9396
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c7790ce7ef0dc43f475d3d36f60b2a98
https://hal.archives-ouvertes.fr/hal-03500219/document
رقم الأكسشن: edsair.dedup.wf.001..c7790ce7ef0dc43f475d3d36f60b2a98
قاعدة البيانات: OpenAIRE