TY - RPRT
T1 - PollinERA: Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
AU - Topping, Christopher John
AU - Bednarska, Agnieszka
AU - Benfenati, Emilio
AU - Chetcuti, Jordan
AU - Simon-Delso, Noa
AU - Duan, Xiaodong
AU - Focks, Andreas
AU - Laskowski, Ryszard
AU - Lombardo, Anna
AU - Marcussen, Luna Kondrup
AU - Metodiev , Teodor
AU - Rubinigg, Michael
AU - Rundlöf, Maj
AU - Sgolastra, Fabio
AU - Stoyanova, Carla
AU - Susanj, Gregor
AU - Williams, James Henty
AU - Ziółkowska, Elżbieta
PY - 2024/5/16
Y1 - 2024/5/16
N2 - PollinERA aims to reverse pollinator population declines and reduce the harmful impacts of pesticides. It addresses the call through four objectives: SO1 filling ecotoxicological data gaps to enable realistic prediction of the source and routes of exposure and impact of pesticides on pollinators and their sensitivity to individual pesticides and mixtures. SO2 developing and testing a co-monitoring scheme for pesticides and pollinators across European cropping systems and landscapes, developing risk indicators and mixture exposure information. SO3 developing models for predicting pesticide toxicological effects on pollinators for chemicals and organisms, environmental fate, toxicokinetic/ toxicodynamic, and population models. SO4 developing a population-level systems-based approach to risk and policy assessment considering multiple stressors and long-term spatiotemporal dynamics at the landscape scale and generating an open database for pollinator/pesticide data and tools.
AB - PollinERA aims to reverse pollinator population declines and reduce the harmful impacts of pesticides. It addresses the call through four objectives: SO1 filling ecotoxicological data gaps to enable realistic prediction of the source and routes of exposure and impact of pesticides on pollinators and their sensitivity to individual pesticides and mixtures. SO2 developing and testing a co-monitoring scheme for pesticides and pollinators across European cropping systems and landscapes, developing risk indicators and mixture exposure information. SO3 developing models for predicting pesticide toxicological effects on pollinators for chemicals and organisms, environmental fate, toxicokinetic/ toxicodynamic, and population models. SO4 developing a population-level systems-based approach to risk and policy assessment considering multiple stressors and long-term spatiotemporal dynamics at the landscape scale and generating an open database for pollinator/pesticide data and tools.
U2 - 10.3897/rio.10.e127485
DO - 10.3897/rio.10.e127485
M3 - Report
VL - 10: e127485
BT - PollinERA: Understanding pesticide-Pollinator interactions to support EU Environmental Risk Assessment and policy
PB - Research Ideas and Outcomes (RIO)
ER -