ContextLand-use change threatens pollinators globally. However, pollinator-landscape studies tend to focus on certain focal taxa and landscapes with intensive human activities. This limits the implementation of targeted management policies for landscapes with different modifications and pollinator groups.ObjectivesThis study aims to determine which habitat characteristics can predict abundance and richness of multiple pollinator groups.MethodsWe collected field data on the relative abundance and observed richness of nectivorous birds, bees, beetles, butterflies across a mixed-use landscape in the Tasman Peninsula, Tasmania, Australia; and determined if they could be predicted using land use, land cover at different radii (100 m to 5000 m), plant genera and floral morphologies.ResultsUsing feature selection, we found land use was an overall poor predictor, with land cover, plant genera and floral morphologies being superior. Random forest was used for predictive modelling and goodness of fit R2 calculated was highest and lowest for butterfly abundance (0.65) and butterfly richness (0.08) respectively. Variable importance was calculated, and forest cover achieved the highest importance value for nectivorous birds and butterflies, whereas open cover was most important for bees and the presence of the plant genus Leptospermum for beetles.ConclusionsOur results emphasise the importance of considering multiple habitat factors to manage and support a dynamic pollinator community. We demonstrate how predictive modelling can be used to make informed decisions on how to have a dynamic pollinator community in a way that can be applied to real-world scenarios to validate the models and further improve decision making.