TY - JOUR
T1 - The macroecology of phylogenetically structured hummingbird-plant networks
AU - Martín González, Ana M.
AU - Dalsgaard, Bo
AU - Nogués-Bravo, David
AU - Graham, Catherine H.
AU - Schleuning, Matthias
AU - Maruyama, Pietro K.
AU - Abrahamczyk, Stefan
AU - Alarcón, Ruben
AU - Araujo, Andréa C.
AU - Araújo, Francielle P.
AU - de Azevedo, Severino Mendes
AU - Baquero, Andrea C.
AU - Cotton, Peter A.
AU - Ingversen, Tanja Toftemark
AU - Kohler, Glauco
AU - Lara, Carlos
AU - Las-Casas, Flor Maria Guedes
AU - Machado, Adriana O.
AU - Machado, Caio Graco
AU - Maglianesi, María Alejandra
AU - Mcguire, Jimmy A.
AU - Moura, Alan Cerqueira
AU - Oliveira, Genilda M.
AU - Oliveira, Paulo E.
AU - Ornelas, Juan Francisco
AU - Rodrigues da Cruz, Licléia
AU - Rosero-Lasprilla, Liliana
AU - Rui, Ana M.
AU - Sazima, Marlies
AU - Timmermann, Allan
AU - Varassin, Isabela Galarda
AU - Vizentin-Bugoni, Jeferson
AU - Wang, Zhiheng
AU - Watts, Stella
AU - Rahbek, Carsten
AU - Martinez, Neo D.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - 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. 3700m 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.
AB - 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. 3700m 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.
KW - Community ecology, current climate
KW - Historical climate
KW - Hummingbird biogeography
KW - Macroecology
KW - Modularity
KW - Phylogenetic signal
KW - Pollination
KW - Quantitative networks
KW - Specialization
UR - http://www.mendeley.com/catalogue/macroecology-phylogenetically-structured-hummingbirdplant-networks
U2 - 10.1111/geb.12355
DO - 10.1111/geb.12355
M3 - Article
SN - 1466-822X
VL - 24
SP - 1212
EP - 1224
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
IS - 11
ER -