macroecology of phylogenetically structured hummingbird–plant networks

AIM: To investigate the association between hummingbird–plant network structure and species richness, phylogenetic signal on species' interaction pattern, insularity and historical and current climate. LOCATION: Fifty‐four communities along a c. 10,000 km latitudinal gradient across the America...

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Published inGlobal ecology and biogeography Vol. 24; no. 11; pp. 1212 - 1224
Main Authors Martín González, Ana M, Dalsgaard, Bo, Nogués‐Bravo, David, Graham, Catherine H, Schleuning, Matthias, Maruyama, Pietro K, Abrahamczyk, Stefan, Alarcón, Ruben, Araujo, Andréa C, Araújo, Francielle P, Azevedo, Severino Mendes, Jr, Baquero, Andrea C, Cotton, Peter A, Ingversen, Tanja Toftemark, Kohler, Glauco, Lara, Carlos, Las‐Casas, Flor Maria Guedes, Machado, Adriana O, Machado, Caio Graco, Maglianesi, María Alejandra, McGuire, Jimmy A, Moura, Alan Cerqueira, Oliveira, Genilda M, Oliveira, Paulo E, Ornelas, Juan Francisco, Rodrigues, Licléia da Cruz, Rosero‐Lasprilla, Liliana, Rui, Ana M, Sazima, Marlies, Timmermann, Allan, Varassin, Isabela Galarda, Vizentin‐Bugoni, Jeferson, Wang, Zhiheng, Watts, Stella, Rahbek, Carsten, Martinez, Neo D
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Science 01.11.2015
Blackwell Publishing Ltd
John Wiley & Sons Ltd
Wiley Subscription Services, Inc
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Summary:AIM: To investigate the association between hummingbird–plant network structure and species richness, phylogenetic signal on species' interaction pattern, insularity and historical and current climate. LOCATION: Fifty‐four communities along a c. 10,000 km latitudinal gradient across the Americas (39° N–32° S), ranging from sea level to c. 3700 m a.s.l., located on the mainland and on islands and covering a wide range of climate regimes. METHODS: We measured the level of specialization and modularity in mutualistic plant–hummingbird interaction networks. Using an ordinary least squares multimodel approach, we examined the influence of species richness, phylogenetic signal, insularity and current and historical climate conditions on network structure (null‐model‐corrected specialization and modularity). RESULTS: Phylogenetically related species, especially plants, showed a tendency to interact with a similar array of mutualistic partners. The spatial variation in network structure exhibited a constant association with species phylogeny (R² = 0.18–0.19); however, network structure showed the strongest association with species richness and environmental factors (R² = 0.20–0.44 and R² = 0.32–0.45, respectively). Specifically, higher levels of specialization and modularity were associated with species‐rich communities and communities in which closely related hummingbirds visited distinct sets of flowering species. On the mainland, specialization was also associated with warmer temperatures and greater historical temperature stability. MAIN CONCLUSIONS: Our results confirm the results of previous macroecological studies of interaction networks which have highlighted the importance of species richness and the environment in determining network structure. Additionally, for the first time, we report an association between network structure and species phylogenetic signal at a macroecological scale, indicating that high specialization and modularity are associated with high interspecific competition among closely related hummingbirds, subdividing the floral niche. This suggests a tighter co‐evolutionary association between hummingbirds and their plants than in previously studied plant–bird mutualistic systems.
Bibliography:http://dx.doi.org/10.1111/geb.12355
FAPESP
Carlsberg Foundation
Frimodt-Heineke Foundation
OTICON Fonden
CACyPI-Uatx-2013
ark:/67375/WNG-ZWN88V85-1
Knud Højgaard Foundation
British Ornithologists' Union and Wolfson College, University of Oxford
CAPES
istex:20C1C2BAAA224461B7E68A3102E90033175737FA
Spanish Ministry of Education
Universidad Estatal a distancia (UNED), Costa Rica
CNPq
FAEP and Unicamp
Faculty of Natural Sciences University of Aarhus
FUNDECT
ArticleID:GEB12355
FAPEMIG
Danish National Research Foundation
Appendix S1 List of all plant and hummingbird species present in the studied networks.Appendix S2 Phylogenetic methods.Appendix S3 Effect of the differences in sampling effort among data sets on network structure.Appendix S4 Results of macroecological models on observed network metrics.Appendix S5 Complementary macroecological analyses.Figure S1 Association between species richness (network size) and hummingbird phylogenetic signal with null model corrected measures of complementary specialization (H′2) and quantitative bipartite modularity (QuanBiMo).Table S1 Coordinates, description, location and data references for each studied community.Table S2 Correlations between corrected and observed indices of network structure and the predictor variables included in the OLS models.Table S3 Coefficients of determination (R2) from partial regression local models separating the effect of species richness, phylogenetic signal and environmental factors as predictors of corrected network structure when including climate change velocity as an estimate of historical climate stability.
Biodiversity and Climate Research Centre (BIK-F), Frankfurt, Germany
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1466-822X
1466-8238
DOI:10.1111/geb.12355