Understanding the pollination biology of medicinal plants and their important insect pollinators is necessary for their conservation. The present study explored the complex interactions between pollinator visitation and effect of floral traits on pollinator behaviour on seven medicinal plant species grown in an urban garden in West Bengal, an eastern Indian state. The observations revealed 30 morphospecies of insect flower visitors (Diptera, Lepidoptera and Hymenoptera) that touched floral reproductive parts on the selected plants during visitation. Additionally, it was observed that floral traits (e.g., corolla length and corolla opening diameter) were important predictors of the behaviour of insects when visiting the flowers. Plant–pollinator interactions were analysed using a bipartite network approach which explored the important links between insect and plants in the network revealing the key interactions, and species which are crucial to system maintenance. This piece of work contributes to our ability to understand and maintain a stable medicinal plant–pollinator network which will support efforts to conserve native flora and insects.

We studied the relationship between flower size and nectar properties of hummingbird-visited flowers in the Brazilian Atlantic Forest. We analysed the nectar volume and concentration as a function of corolla length and the average bill size of visitors for 150 plant species, using the phylogenetic generalized least squares (PGLS) to control for phylogenetic signals in the data. We found that nectar volume is positively correlated with corolla length due to phylogenetic allometry. We also demonstrated that larger flowers provide better rewards for long-billed hummingbirds. Regardless of the causal mechanisms, our results support the hypothesis that morphological floral traits that drive partitioning among hummingbirds correspond to the quantity of resources produced by the flowers in the Atlantic Forest. We demonstrate that the relationship between nectar properties and flower size is affected by phylogenetic constraints and thus future studies assessing the interaction between floral traits need to control for phylogenetic signals in the data.