Morphological and Spatio‐Temporal Mismatches Shape a Neotropical Savanna Plant‐Hummingbird Network

• Published in: Biotropica Vol. 46; no. 6; pp. 740 - 747
• Main Authors: Maruyama, Pietro K, Vizentin‐Bugoni, Jeferson, Oliveira, Genilda M, Oliveira, Paulo E, Dalsgaard, Bo
• Format: Journal Article
• Language: English
• Published: Hoboken Association for Tropical Biology 01.11.2014; Blackwell Publishing Ltd; Wiley Periodicals Inc; Wiley Subscription Services, Inc
• Subjects: algorithms; Brazil; Cerrado; forbidden links; forests; habitats; modules; nectar; phenology; pollination; probability; QuanBiMo; savannas; spatial variation; temporal variation; Tropical Biology; tropics; Brazil
• ISSN: 0006-3606; 1744-7429
• DOI: 10.1111/btp.12170

Complex networks of species interactions might be determined by species traits but also by simple chance meetings governed by species abundances. Although the idea that species traits structure mutualistic networks is appealing, most studies have found abundance to be a major structuring mechanism underlying interaction frequencies. With a well‐resolved plant–hummingbird interaction network from the Neotropical savanna in Brazil, we asked whether species morphology, phenology, nectar availability and habitat occupancy and/or abundance best predicted the frequency of interactions. For this, we constructed interaction probability matrices and compared them to the observed plant‐hummingbird matrix through a likelihood approach. Furthermore, a recently proposed modularity algorithm for weighted bipartite networks was employed to evaluate whether these factors also scale‐up to the formation of modules in the network. Interaction frequencies were best predicted by species morphology, phenology and habitat occupancy, while species abundances and nectar availability performed poorly. The plant–hummingbird network was modular, and modules were associated to morphological specialization and habitat occupancy. Our findings highlight the importance of traits as determinants of interaction frequencies and network structure, corroborating the results of a previous study on a plant–hummingbird network from the Brazilian Atlantic Forest. Thus, we propose that traits matter more in tropical plant–hummingbird networks than in less specialized systems. To test the generality of this hypothesis, future research could employ geographic or taxonomic cross‐system comparisons contrasting networks with known differences in level of specialization.