WP1 will:

1. determine optimal sampling methods and proxies for pesticide contamination in environmental compartments/matrices;

2. establish a site network to quantify sources and exposure routes of pesticides in agri-ecosystems;

3. devise and test a monitoring scheme for establishing the level of contamination of pollen/nectar/water/plant matrices/soil that can support future benchmarking;

4. quantify pesticide contamination across matrices/compartments collected across the monitoring scheme.

WP2 will:

1. evaluate the variability among wild insect pollinators of Europe in their sensitivity to pesticides;

2. define the extent to which semi-field sensitivity mirrors lab sensitivity to pesticide in wild pollinators;

3. develop OECD protocols for testing wild insect pollinators in pesticide risk assessment.

WP3 will:

1. elaborate MALDI-MS molecular fingerprints (MFPs) of fat bodies and haemolymph to understand the consequences of pesticides exposures on juvenile and adult wild pollinators;

2. assess the overall stress response to pesticides on the peptidome/proteome dysregulation by off-gel bottom-up proteomics and molecular mass imaging;

3. define diagnostic transcriptional signatures that can be used to predict sensitivity to pesticide exposure of pollinators in the field;

4. decode the molecular machinery underlying the response of pollinators to pesticide.

WP4 will:

1. compile a comprehensive trait database which will include traits reflecting sensitivity and exposure risk of European pollinators to pesticides and other stressors;

2. compile distributional and occurrence information on European pollinators at national and continental levels;

3. identify and collate data on pesticide exposure and effects, as well as on other stressors able to amplify the adverse effects on model species;

4. improve the existing in silico prediction methodologies for toxicity endpoints relevant to pollinators (e.g., QSAR models);

5. build an open-source curated database which will include information on pollinator traits and distribution, on pesticides, and on other stressors for model species.

WP5 will:

1. critically review current approaches of risk assessment and provide strategies for improvement integrating lethal and sublethal effects of single and multiple pesticides including interactions;

2. develop landscape models integrating pesticide exposure and hazard to inform predictive pollinator population and community risk models;

3. develop environmental scenarios for pesticide risk and mitigation models;

4. develop an integrated open-access tool for a systems-based risk assessment.

WP6 will:

1. identify effective response options to reduce pesticide risks to wild pollinators;

2. synthesise WildPosh project findings and external knowledge;

3. develop good practice guides for practitioners to mitigate the impacts of pesticides on wild pollinators;

4. engage in science-policy dialogues to inform national and international policy on the development of mitigation measures.

WP7 will:

1. raise awareness of the project through a recognisable project branding and website;

2. develop a Communication Plan (CP) and Plan for the Exploitation and Dissemination of Results (PEDR) to ensure the impact and long-term legacy of the project’s results;

3. maximise WildPosh’s outreach to relevant stakeholders of the quadruple helix model;

4. establish collaboration paths and synergies with land to sea ecosystems and biodiversity actors.

WP8 will:

1. organise internal management structures for the project;

2. provide scientific reporting and quality control of all deliverables of the project;

3. coordinate the adequate financial management and reporting to the European Commission;

4. manage all the contractual documents, within the consortium and with the European Commission.