Functional diversity mediates macroecological variation in plant–hummingbird interaction networks. Issue 10 (28th August 2018)
- Record Type:
- Journal Article
- Title:
- Functional diversity mediates macroecological variation in plant–hummingbird interaction networks. Issue 10 (28th August 2018)
- Main Title:
- Functional diversity mediates macroecological variation in plant–hummingbird interaction networks
- Authors:
- Maruyama, Pietro Kiyoshi
Sonne, Jesper
Vizentin‐Bugoni, Jeferson
Martín González, Ana M.
Zanata, Thais B.
Abrahamczyk, Stefan
Alarcón, Ruben
Araujo, Andréa C.
Araújo, Francielle P.
Baquero, Andrea C.
Chávez‐González, Edgar
Coelho, Aline G.
Cotton, Peter A.
Dehling, D. Matthias
Fischer, Erich
Kohler, Glauco
Lara, Carlos
Las‐Casas, Flor Maria G.
Machado, Adriana O.
Machado, Caio G.
Maglianesi, María A.
Malucelli, Tiago S.
Marín‐Gómez, Oscar Humberto
Oliveira, Paulo E.
Ornelas, Juan Francisco
Ortiz‐Pulido, Raul
Ramírez‐Burbano, Mónica B.
Rocca, Márcia A.
Rodrigues, Licléia C.
Rosero‐Lasprilla, Liliana
Rui, Ana M.
Sandel, Brody
Svenning, Jens‐Christian
Tinoco, Boris A.
Varassin, Isabela G.
Watts, Stella
Rahbek, Carsten
Sazima, Marlies
Schleuning, Matthias
Dalsgaard, Bo
… (more) - Abstract:
- Abstract: Aim: Species interaction networks are known to vary in structure over large spatial scales. We investigated the hypothesis that environmental factors affect interaction network structure by influencing the functional diversity of ecological communities. Notably, we expect more functionally diverse communities to form interaction networks with a higher degree of niche partitioning. Location: Americas. Time period: Current. Major taxa studied: Hummingbirds and their nectar plants. Methods: We used a large dataset comprising 74 quantitative plant–hummingbird interaction networks distributed across the Americas, along with morphological trait data for 158 hummingbird species. First, we used a model selection approach to evaluate associations between the environment (climate, topography and insularity), species richness and hummingbird functional diversity as predictors of network structure (niche partitioning, i.e., complementary specialization and modularity). Second, we used structural equation models (SEMs) to ask whether environmental predictors and species richness affect network structure directly and/or indirectly through their influence on hummingbird functional diversity. For a subset of 28 networks, we additionally evaluated whether plant functional diversity was associated with hummingbird functional diversity and network structure. Results: Precipitation, insularity and plant richness, together with hummingbird functional diversity (specifically, functionalAbstract: Aim: Species interaction networks are known to vary in structure over large spatial scales. We investigated the hypothesis that environmental factors affect interaction network structure by influencing the functional diversity of ecological communities. Notably, we expect more functionally diverse communities to form interaction networks with a higher degree of niche partitioning. Location: Americas. Time period: Current. Major taxa studied: Hummingbirds and their nectar plants. Methods: We used a large dataset comprising 74 quantitative plant–hummingbird interaction networks distributed across the Americas, along with morphological trait data for 158 hummingbird species. First, we used a model selection approach to evaluate associations between the environment (climate, topography and insularity), species richness and hummingbird functional diversity as predictors of network structure (niche partitioning, i.e., complementary specialization and modularity). Second, we used structural equation models (SEMs) to ask whether environmental predictors and species richness affect network structure directly and/or indirectly through their influence on hummingbird functional diversity. For a subset of 28 networks, we additionally evaluated whether plant functional diversity was associated with hummingbird functional diversity and network structure. Results: Precipitation, insularity and plant richness, together with hummingbird functional diversity (specifically, functional dispersion), were consistently strong predictors of niche partitioning in plant–hummingbird networks. Moreover, SEMs showed that environmental predictors and plant richness affected network structure both directly and indirectly through their effects on hummingbird functional diversity. Plant functional diversity, however, was unrelated to hummingbird functional diversity and network structure. Main conclusions: We reveal the importance of hummingbird functional diversity for niche partitioning in plant–hummingbird interaction networks. The lack of support for similar effects for plant functional diversity potentially indicates that consumer functional diversity might be more important for structuring interaction networks than resource functional diversity. Changes in pollinator functional diversity are therefore likely to alter the structure of interaction networks and associated ecosystem functions. … (more)
- Is Part Of:
- Global ecology & biogeography. Volume 27:Issue 10(2018)
- Journal:
- Global ecology & biogeography
- Issue:
- Volume 27:Issue 10(2018)
- Issue Display:
- Volume 27, Issue 10 (2018)
- Year:
- 2018
- Volume:
- 27
- Issue:
- 10
- Issue Sort Value:
- 2018-0027-0010-0000
- Page Start:
- 1186
- Page End:
- 1199
- Publication Date:
- 2018-08-28
- Subjects:
- functional dispersion -- insularity -- modularity -- network structure -- niche partitioning -- plant–pollinator interactions -- pollination networks -- specialization -- trait diversity
Ecology -- Periodicals
Biogeography -- Periodicals
Biodiversity -- Periodicals
Macroevolution -- Periodicals
577 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1466-8238 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/geb.12776 ↗
- Languages:
- English
- ISSNs:
- 1466-822X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4195.390700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14164.xml