Neutral and niche factors influence the structure of frugivory and seed dispersal networks. While the former refers to the abundance of interacting species, niche factors refer to traits that mediate interactions between species (e.g., morphology). The challenge is to unravel in which circumstances one kind of factor predominates over the other, or how much variation is explained by each factor. We investigated the relative contributions of abundance and trait-matching (considering fruit’s size, pulp mass to seed mass ratio, and lipid content, and bird’s degree of frugivory, body mass, and gape width) as drivers of the frequency of interactions between frugivorous birds and fleshy fruits in an area of Cerrado second-growth vegetation in Brazil. We expected that the abundance of species would be the most important factor due to the predominance of common small-bodied generalist bird species and small-seeded fleshy-fruited plants. Species abundance was indeed an important factor explaining interactions, although in limited fashion. This is because niche factors also helped to explain bird-plant interaction frequencies in the community, particularly the mass ratio of fruits and, to a lesser extent, their lipid content through its interaction with abundance and its negative correlation with mass ratio. In addition to the importance of both bird and plant abundances, these results underscore the role played by plant functional traits in maintaining community function and ecosystem services even in habitats dominated by common generalist birds and small-seeded plants.

From August to December 2018, we recorded frugivory by birds in a 1.5-ha plot subdivided in 10 x 10 m cells established at an area of second growth Cerrado vegetation in Rio Claro, São Paulo, Brazil (22° 23’ 38.65” S, 47°32’25.70” W; 620 m a.s.l.). At least once a week, observers recorded bird frugivory for 3-4 h, beginning shortly after sunrise for a total observation effort of 285 h. The plot cell where we started looking for frugivory events was randomized each morning. 

Each line in the dataset corresponds to one interaction.