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Dryad

Data from: The functional roles of species in metacommunities, as revealed by metanetwork analyses of bird-plant frugivory networks

Cite this dataset

Li, Hai-Dong et al. (2020). Data from: The functional roles of species in metacommunities, as revealed by metanetwork analyses of bird-plant frugivory networks [Dataset]. Dryad. https://doi.org/10.5061/dryad.6q573n5w6

Abstract

Understanding how biodiversity and interaction networks change across environmental gradients is a major challenge in ecology. We integrated metacommunity and metanetwork perspectives to test species’ functional roles in bird-plant frugivory interactions in a fragmented forest landscape in Southwest China, with consequences for seed dispersal. Availability of fruit resources both on and under trees created vertical feeding stratification for frugivorous birds. Bird-plant interactions involving birds feeding only on the tree or both on and under the tree (shared) had a higher centrality and contributed more to metanetwork organization than interactions involving birds feeding only under the tree. Moreover, bird-plant interactions associated with large-seeded plants disproportionately contributed to metanetwork organization and centrality. Consequently, on-the-tree and shared birds contributed more to metanetwork organization whereas under-the-tree birds were more involved in local processes. We would expect that species’ roles in the metanetwork will translate into different conservation values for maintaining functioning of seed-dispersal networks.

Usage notes

Across the 13 forest patches and 2 years, we recorded 47 bird species, involving 134 unique interactions with 19 plant species.

  • - patch: patch ID
  • - Higher level: Bird
  • - Lower level: Plant
  • - Animal: bird species

Plant: plant species

Mode: Frugivory

freq: Total number of visits with frugivory interactions by a given bird

Funding

Ministry of Science and Technology of the People's Republic of China, Award: 2017YFC0503802

Ministry of Science and Technology of the People's Republic of China, Award: 2016YFC0500105

National Natural Science Foundation of China, Award: 31971441

National Natural Science Foundation of China, Award: 31770565

National Natural Science Foundation of China, Award: 31330013

Ministry of Science and Technology of the People's Republic of China, Award: 2017YFC0503802