WildPosh: Pan-European assessment, monitoring, and mitigation of chemical stressors on the health of wild pollinators

作者：Denis Michez, Michel Bocquet, Philippe Bulet, Marie‐Pierre Chauzat, Pilar De la Rúa, Reet Karise, Tomasz Kiljanek, Alexandra‐Maria Klein, Marion Laurent, Elli Leadbeater, Marika Mänd, Anne‐Claire Martel, Teodor Metodiev, Marija Miličić, Julia Osterman, Robert J. Paxton, Simon G. Potts, Sara Reverté, Marie-Pierre Rivière, Oliver Schweiger, Deepa Senapathi, Olga Tcheremenskaia, Simone Tosi, Ante Vujić, Dimitry Wintermantel, Mark J. F. Brown · 发表于：Research Ideas and Outcomes · 年份：2025 · DOI：10.3897/rio.11.e156185 · 被引用次数：1 · 研究领域：Plant and animal studies、Insect and Pesticide Research、Insect and Arachnid Ecology and Behavior

Wild fauna and flora are facing variable and challenging environmental disturbances. One of the animal groups that is most impacted by this, concerns pollinators. Pollinators face multiple threats, but the spread of anthropogenic chemicals (i.e. pesticides) form a major potential driver of these threats. WildPosh is a multi-actor, transdisciplinary project whose overarching mission and ambition are to significantly improve the evaluation of risk to pesticide exposure of wild pollinators, and enhance the sustainable health of pollinators and pollination services in Europe. As chemical exposure varies geographically, across cropping systems, inside the crop system and among pollinators, we will characterise exposure by doing fieldwork in 4 countries representing the four main climatic European regions, Mediterranean, Atlantic, Continental and Boreal climate in Germany, England, Estonia and Spain. We will also develop experiments in controlled conditions on different species of bees, syrphid flies, moths and butterflies, and collect in silico data on their traits and on toxicity of pesticides. With WildPosh, we aim to achieve the following objectives: 1. Determining the real-world agrochemical exposure profile of wild pollinators at landscape level, within and among sites; 2. Using integrated and controlled laboratory and semi-field experiments to characterise causal relationships between pesticides and pollinator health; 3. Building an open database on pollinator traits/distrib...