Data and code for "Urban environments increase generalization of hummingbird-plant networks across climate gradients"

We compiled a dataset of 103 quantitative hummingbird-plant interaction networks distributed from Mexico to Southern Brazil, comprising 176 hummingbird and 1180 plant species.Here, we provide the raw network data for the 36 urban area networks that was compiled for this study, as well as network indices, climate and community predictors used in the manuscript. We also provide the R script for the analyses conducted in our manuscript.Urban networks were characterized by the presence of built structures associated with denser human settlements, and needed to: (1) include all flowering plants (native and non-native) known to be visited (or potentially visited) by hummingbirds in the study area, (2) sampling should cover at least one annual cycle (all seasons sampled) and (3) the urban area sampled should cover at least one hectare (100x100 m). Each network represented an ecological community, summarizing interaction frequencies between pairs of hummingbird and plant species. We only included legitimate interactions in our dataset, in which hummingbirds inserted their bill to drink nectar while touching the reproductive structures, thereby potentially acting as pollinators, and characterizing mutualistic interactions.The 67 natural area networks were extracted from Dalsgaard et al. 2021, Functional Ecology (https://doi.org/10.1111/1365-2435.13784) which reported 93 interaction networks from natural habitats across mainland America and islands. We only used data from the mainland networks, as we lacked urban networks from islands. In addition, considering that urban development reflects cultural, socioeconomic, and historical drivers specific to each country/region, we limited the data on the natural habitats to the subset of mainland networks located in the same countries where the urban networks were also sampled (i.e., Mexico, Costa Rica, Colombia, and Brazil). Data from Dalsgaard et al. 2021 can be accessed at: https://datadryad.org/stash/dataset/doi:10.5061/dryad.rr4xgxd7n--------Rscript organized by João Custódio CardosoRscript by João Custódio Cardoso and Jesper SonneData curation: Pietro Maruyama, Camila BosenbeckerValidation: Caio Ballarin