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dc.contributor.author
Chamberlain, Scott  
dc.contributor.author
Vazquez, Diego P.  
dc.contributor.author
Carvalheiro, Luisa  
dc.contributor.author
Elle, Elizabeth  
dc.contributor.author
Vamosi, Jaca C.  
dc.date.available
2019-12-19T18:48:18Z  
dc.date.issued
2014-06  
dc.identifier.citation
Chamberlain, Scott; Vazquez, Diego P.; Carvalheiro, Luisa; Elle, Elizabeth; Vamosi, Jaca C.; Phylogenetic tree shape and the structure of mutualistic networks; Wiley Blackwell Publishing, Inc; Journal of Ecology; 102; 5; 6-2014; 1234-1243  
dc.identifier.issn
0022-0477  
dc.identifier.uri
http://hdl.handle.net/11336/92561  
dc.description.abstract
Summary: Species community composition is known to alter the network of interactions between two trophic levels, potentially affecting its functioning (e.g. plant pollination success) and the stability of communities. Phylogenies vary in shape with regard to the rate of evolutionary change across a tree (influencing tree balance) and variation in the timing of branching events (affecting the distribution of node ages in trees), both of which may influence the structure of species interaction networks. Because related species are likely to share many of the traits that regulate interactions, the shape of phylogenetic trees may provide some insights into the distribution of traits within communities, and hence the likelihood of interaction among species. However, little attention has been paid to the potential effects of changes in phylogenetic diversity (PD) on interaction networks. Phylogenetic diversity is influenced by species diversity within a community, but also how distantly-related the constituent species are from one another. Here, we evaluate the relationship between two important measures of phylogenetic diversity (tree shape and age of nodes) and the structure of plant-pollinator interaction networks using empirical and simulated data. Whereas the former allows us to evaluate patterns in real communities, the latter allows us to evaluate more systematically the relationship between tree shape and network structure under three different models of trait evolution. In empirical networks, less balanced plant phylogenies were associated with lower connectance in interaction networks indicating that communities with the descendants of recent radiations are more diverged and specialized in their partnerships. In simulations, tree balance and the distribution of nodes through time were included in the best models for modularity, and the second best models for connectance and nestedness. In models assuming random evolutionary change through time (i.e. Brownian motion), less balanced trees and trees with nodes near the tips exhibited greater modularity, whereas in models with an early burst of radiation followed by relative stasis (i.e. early-burst models) more balanced trees and trees with nodes near roots had greater modularity. Synthesis. Overall, these results suggest that the shape of phylogenies can influence the structure of plant-pollinator interaction networks. However, the mismatch between simulations and empirical data indicate that no simple model of trait evolution mimics that observed in real communities.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CONNECTANCE  
dc.subject
DIVERSITY  
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MODULARITY  
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NESTEDNESS  
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NETWORK STRUCTURE  
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PHYLOGENY IMBALANCE  
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PLANT POPULATION AND COMMUNITY DYNAMICS  
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PLANT-POLLINATOR INTERACTIONS  
dc.subject.classification
Ecología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Phylogenetic tree shape and the structure of mutualistic networks  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-08-27T18:36:33Z  
dc.journal.volume
102  
dc.journal.number
5  
dc.journal.pagination
1234-1243  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Chamberlain, Scott. University Fraser Simon; Canadá  
dc.description.fil
Fil: Vazquez, Diego P.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina  
dc.description.fil
Fil: Carvalheiro, Luisa. University Of Leeds; Reino Unido. Naturalis Biodiversity Center; Países Bajos  
dc.description.fil
Fil: Elle, Elizabeth. University Fraser Simon; Canadá  
dc.description.fil
Fil: Vamosi, Jaca C.. University of Calgary; Canadá  
dc.journal.title
Journal of Ecology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/1365-2745.12293