Data Analysis
Treemaps to display diversity and abundance were generated using the R package Treemap v. 2.4-3 (Tennekes, 2022). Plant-flower visitor networks were build using the bipartite package in R (Dormann et al. (2008). A Redundancy analysis (RDA) was used to assess how the non-bee community changed due to environmental variance, such as the parameters measured in the experimental methods: wind speed (km/h), solar radiation (W/m2), humidity (%), temperature (°C) and edge effect (binary: interior or exterior). These variables only explained 14% of the variance, therefore time and date were also added to the model as explanatory variables. A Hellinger transformation was applied to remove the arch effect by normalizing the data through reducing the effect of zeros (Legendre and Gallagher 2001). The significance of the model and the axes generated were tested using an ANOVA like permutation test for Constrained Correspondence Analysis build into the function ‘anova.cca’ in vegan (Oksanen et al. 2019). All analyses were completed using R (version 2.5-5).