The macroecology of phylogenetically structured hummingbird-plant networks

Ana M. Martín González, Bo Dalsgaard, David Nogués-Bravo, Catherine H. Graham, Matthias Schleuning, Pietro K. Maruyama, Stefan Abrahamczyk, Ruben Alarcón, Andréa C. Araujo, Francielle P. Araújo, Severino Mendes de Azevedo, Andrea C. Baquero, Peter A. Cotton, Tanja Toftemark Ingversen, Glauco Kohler, Carlos Lara, Flor Maria Guedes Las-Casas, Adriana O. Machado, Caio Graco Machado, María Alejandra MaglianesiJimmy A. Mcguire, Alan Cerqueira Moura, Genilda M. Oliveira, Paulo E. Oliveira, Juan Francisco Ornelas, Licléia Rodrigues da Cruz, Liliana Rosero-Lasprilla, Ana M. Rui, Marlies Sazima, Allan Timmermann, Isabela Galarda Varassin, Jeferson Vizentin-Bugoni, Zhiheng Wang, Stella Watts, Carsten Rahbek, Neo D Martinez

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1212-1224
Number of pages13
JournalGlobal Ecology and Biogeography
Volume24
Issue number11
DOIs
StatePublished - Nov 1 2015

Fingerprint

macroecology
hummingbirds
ecology
species diversity
species richness
phylogeny
climate
phylogenetics
interspecific competition
latitudinal gradient
sea level
spatial variation
least squares
climate conditions
temperature
niches
flowering
niche
environmental factor
environmental factors

Keywords

  • Community ecology, current climate
  • Historical climate
  • Hummingbird biogeography
  • Macroecology
  • Modularity
  • Phylogenetic signal
  • Pollination
  • Quantitative networks
  • Specialization

ASJC Scopus subject areas

  • Ecology
  • Global and Planetary Change
  • Ecology, Evolution, Behavior and Systematics

Cite this

Martín González, A. M., Dalsgaard, B., Nogués-Bravo, D., Graham, C. H., Schleuning, M., Maruyama, P. K., ... Martinez, N. D. (2015). The macroecology of phylogenetically structured hummingbird-plant networks. Global Ecology and Biogeography, 24(11), 1212-1224. https://doi.org/10.1111/geb.12355

The macroecology of phylogenetically structured hummingbird-plant networks. / 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.; de Azevedo, Severino Mendes; 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 da Cruz, Licléia; 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.

In: Global Ecology and Biogeography, Vol. 24, No. 11, 01.11.2015, p. 1212-1224.

Research output: Contribution to journalArticle

Martín González, AM, Dalsgaard, B, Nogués-Bravo, D, Graham, CH, Schleuning, M, Maruyama, PK, Abrahamczyk, S, Alarcón, R, Araujo, AC, Araújo, FP, de Azevedo, SM, Baquero, AC, Cotton, PA, Ingversen, TT, Kohler, G, Lara, C, Las-Casas, FMG, Machado, AO, Machado, CG, Maglianesi, MA, Mcguire, JA, Moura, AC, Oliveira, GM, Oliveira, PE, Ornelas, JF, Rodrigues da Cruz, L, Rosero-Lasprilla, L, Rui, AM, Sazima, M, Timmermann, A, Varassin, IG, Vizentin-Bugoni, J, Wang, Z, Watts, S, Rahbek, C & Martinez, ND 2015, 'The macroecology of phylogenetically structured hummingbird-plant networks', Global Ecology and Biogeography, vol. 24, no. 11, pp. 1212-1224. https://doi.org/10.1111/geb.12355
Martín González AM, Dalsgaard B, Nogués-Bravo D, Graham CH, Schleuning M, Maruyama PK et al. The macroecology of phylogenetically structured hummingbird-plant networks. Global Ecology and Biogeography. 2015 Nov 1;24(11):1212-1224. https://doi.org/10.1111/geb.12355
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. ; de Azevedo, Severino Mendes ; 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 da Cruz, Licléia ; 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. / The macroecology of phylogenetically structured hummingbird-plant networks. In: Global Ecology and Biogeography. 2015 ; Vol. 24, No. 11. pp. 1212-1224.
@article{00f9a12ff4254ff28aae03c5338cdb57,
title = "The macroecology of phylogenetically structured hummingbird-plant networks",
abstract = "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.",
keywords = "Community ecology, current climate, Historical climate, Hummingbird biogeography, Macroecology, Modularity, Phylogenetic signal, Pollination, Quantitative networks, Specialization",
author = "{Mart{\'i}n Gonz{\'a}lez}, {Ana M.} and Bo Dalsgaard and David Nogu{\'e}s-Bravo and Graham, {Catherine H.} and Matthias Schleuning and Maruyama, {Pietro K.} and Stefan Abrahamczyk and Ruben Alarc{\'o}n and Araujo, {Andr{\'e}a C.} and Ara{\'u}jo, {Francielle P.} and {de Azevedo}, {Severino Mendes} and Baquero, {Andrea C.} and Cotton, {Peter A.} and Ingversen, {Tanja Toftemark} and Glauco Kohler and Carlos Lara and Las-Casas, {Flor Maria Guedes} and Machado, {Adriana O.} and Machado, {Caio Graco} and Maglianesi, {Mar{\'i}a Alejandra} and Mcguire, {Jimmy A.} and Moura, {Alan Cerqueira} and Oliveira, {Genilda M.} and Oliveira, {Paulo E.} and Ornelas, {Juan Francisco} and {Rodrigues da Cruz}, Licl{\'e}ia and Liliana Rosero-Lasprilla and Rui, {Ana M.} and Marlies Sazima and Allan Timmermann and Varassin, {Isabela Galarda} and Jeferson Vizentin-Bugoni and Zhiheng Wang and Stella Watts and Carsten Rahbek and Martinez, {Neo D}",
year = "2015",
month = "11",
day = "1",
doi = "10.1111/geb.12355",
language = "English (US)",
volume = "24",
pages = "1212--1224",
journal = "Global Ecology and Biogeography",
issn = "1466-822X",
publisher = "Wiley-Blackwell",
number = "11",

}

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.scopus.com/inward/record.url?scp=84943455290&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84943455290&partnerID=8YFLogxK

U2 - 10.1111/geb.12355

DO - 10.1111/geb.12355

M3 - Article

AN - SCOPUS:84943455290

VL - 24

SP - 1212

EP - 1224

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

SN - 1466-822X

IS - 11

ER -