Morphological traits determine specialization and resource use in plant–hummingbird networks in the neotropics

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Global patterns of interaction specialization in bird–flower networks (2017, background): “Bill length in hummingbird communities is more variable than in OW communities (Fleming & Muchhala, 2008), which may facilitate a finer resource partitioning among hummingbird species (Abrahamczyk & Kessler, 2010; Maglianesi et al., 2014).”
Identifying Causes of Patterns in Ecological Networks: Opportunities and Limitations (2017, background): “The degree of trait matching determines the strength of the interactions between flowering plants and hummingbirds (Maglianesi et al. 2014).”
Machine learning and deep learning—A review for ecologists (2022, background): “Small datasets are common in E&E because observations are often difficult to obtain (e.g. for ecological networks, see Maglianesi et al., 2014 ; Strydom et al., 2021 ); and because due to the change in ecological patterns across scales (Poisot et al., 2015), datasets are difficult to combine.”