Determinants of the microstructure of plant-pollinator networks

Autores
Kaiser Bunbury, Christopher N.; Vazquez, Diego P.; Stang, Martina; Ghazoul, Jaboury
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Identifying the determinants of biological interactions in mutualistic networks is key to understanding the rules that govern the organization of biodiversity. We used structural equation modeling and dissimilarities in nine ecological variables to investigate community processes underlying the turnover of species and their interaction frequencies (interaction pattern) among highly resolved plant-pollinator networks. Floral and pollinator community composition, i.e., species identities and their abundances, were strong determinants of the microstructure of pairwise interactions among the networks, explaining almost 69% of their variation. Flower and pollinator traits were directly related to interaction patterns, but were partly masked in the model by shared variance with community composition. Time of year and geographic location, floral and pollinator abundances independent of species identity, and relative abundance of exotic flowers had indirect and relatively weak effects on interaction patterns. Our analyses lead to precise predictions about the processes behind the interaction patterns in mutualistic networks. Future understanding of these processes will be aided by studies that evaluate these predictions experimentally at the network level.
Fil: Kaiser Bunbury, Christopher N.. Ecological Networks; Alemania
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
Fil: Stang, Martina. Leiden University; Países Bajos
Fil: Ghazoul, Jaboury. Institute of Terrestrial Ecosystems; Suiza
Materia
Forbidden Links
Indirect Interactions
Inselbergs
Interaction Neutrality
Mutualistic Networks
Pollination Webs
Relative Abundance
Seychelles Islands
Structural Equation Modeling
Western Indian Ocean
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/84128
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/84128
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Determinants of the microstructure of plant-pollinator networksKaiser Bunbury, Christopher N.Vazquez, Diego P.Stang, MartinaGhazoul, JabouryForbidden LinksIndirect InteractionsInselbergsInteraction NeutralityMutualistic NetworksPollination WebsRelative AbundanceSeychelles IslandsStructural Equation ModelingWestern Indian Oceanhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Identifying the determinants of biological interactions in mutualistic networks is key to understanding the rules that govern the organization of biodiversity. We used structural equation modeling and dissimilarities in nine ecological variables to investigate community processes underlying the turnover of species and their interaction frequencies (interaction pattern) among highly resolved plant-pollinator networks. Floral and pollinator community composition, i.e., species identities and their abundances, were strong determinants of the microstructure of pairwise interactions among the networks, explaining almost 69% of their variation. Flower and pollinator traits were directly related to interaction patterns, but were partly masked in the model by shared variance with community composition. Time of year and geographic location, floral and pollinator abundances independent of species identity, and relative abundance of exotic flowers had indirect and relatively weak effects on interaction patterns. Our analyses lead to precise predictions about the processes behind the interaction patterns in mutualistic networks. Future understanding of these processes will be aided by studies that evaluate these predictions experimentally at the network level.Fil: Kaiser Bunbury, Christopher N.. Ecological Networks; AlemaniaFil: 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; ArgentinaFil: Stang, Martina. Leiden University; Países BajosFil: Ghazoul, Jaboury. Institute of Terrestrial Ecosystems; SuizaEcological Society of America2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/84128Kaiser Bunbury, Christopher N.; Vazquez, Diego P.; Stang, Martina; Ghazoul, Jaboury; Determinants of the microstructure of plant-pollinator networks; Ecological Society of America; Ecology; 95; 12; 12-2014; 3314-33240012-9658CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/14-0024.1info:eu-repo/semantics/altIdentifier/doi/10.1890/14-0024.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:48:47Zoai:ri.conicet.gov.ar:11336/84128instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:48:47.659CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Determinants of the microstructure of plant-pollinator networks
title Determinants of the microstructure of plant-pollinator networks
spellingShingle Determinants of the microstructure of plant-pollinator networks
Kaiser Bunbury, Christopher N.
Forbidden Links
Indirect Interactions
Inselbergs
Interaction Neutrality
Mutualistic Networks
Pollination Webs
Relative Abundance
Seychelles Islands
Structural Equation Modeling
Western Indian Ocean
title_short Determinants of the microstructure of plant-pollinator networks
title_full Determinants of the microstructure of plant-pollinator networks
title_fullStr Determinants of the microstructure of plant-pollinator networks
title_full_unstemmed Determinants of the microstructure of plant-pollinator networks
title_sort Determinants of the microstructure of plant-pollinator networks
dc.creator.none.fl_str_mv Kaiser Bunbury, Christopher N.
Vazquez, Diego P.
Stang, Martina
Ghazoul, Jaboury
author Kaiser Bunbury, Christopher N.
author_facet Kaiser Bunbury, Christopher N.
Vazquez, Diego P.
Stang, Martina
Ghazoul, Jaboury
author_role author
author2 Vazquez, Diego P.
Stang, Martina
Ghazoul, Jaboury
author2_role author
author
author
dc.subject.none.fl_str_mv Forbidden Links
Indirect Interactions
Inselbergs
Interaction Neutrality
Mutualistic Networks
Pollination Webs
Relative Abundance
Seychelles Islands
Structural Equation Modeling
Western Indian Ocean
topic Forbidden Links
Indirect Interactions
Inselbergs
Interaction Neutrality
Mutualistic Networks
Pollination Webs
Relative Abundance
Seychelles Islands
Structural Equation Modeling
Western Indian Ocean
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Identifying the determinants of biological interactions in mutualistic networks is key to understanding the rules that govern the organization of biodiversity. We used structural equation modeling and dissimilarities in nine ecological variables to investigate community processes underlying the turnover of species and their interaction frequencies (interaction pattern) among highly resolved plant-pollinator networks. Floral and pollinator community composition, i.e., species identities and their abundances, were strong determinants of the microstructure of pairwise interactions among the networks, explaining almost 69% of their variation. Flower and pollinator traits were directly related to interaction patterns, but were partly masked in the model by shared variance with community composition. Time of year and geographic location, floral and pollinator abundances independent of species identity, and relative abundance of exotic flowers had indirect and relatively weak effects on interaction patterns. Our analyses lead to precise predictions about the processes behind the interaction patterns in mutualistic networks. Future understanding of these processes will be aided by studies that evaluate these predictions experimentally at the network level.
Fil: Kaiser Bunbury, Christopher N.. Ecological Networks; Alemania
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
Fil: Stang, Martina. Leiden University; Países Bajos
Fil: Ghazoul, Jaboury. Institute of Terrestrial Ecosystems; Suiza
description Identifying the determinants of biological interactions in mutualistic networks is key to understanding the rules that govern the organization of biodiversity. We used structural equation modeling and dissimilarities in nine ecological variables to investigate community processes underlying the turnover of species and their interaction frequencies (interaction pattern) among highly resolved plant-pollinator networks. Floral and pollinator community composition, i.e., species identities and their abundances, were strong determinants of the microstructure of pairwise interactions among the networks, explaining almost 69% of their variation. Flower and pollinator traits were directly related to interaction patterns, but were partly masked in the model by shared variance with community composition. Time of year and geographic location, floral and pollinator abundances independent of species identity, and relative abundance of exotic flowers had indirect and relatively weak effects on interaction patterns. Our analyses lead to precise predictions about the processes behind the interaction patterns in mutualistic networks. Future understanding of these processes will be aided by studies that evaluate these predictions experimentally at the network level.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/84128
Kaiser Bunbury, Christopher N.; Vazquez, Diego P.; Stang, Martina; Ghazoul, Jaboury; Determinants of the microstructure of plant-pollinator networks; Ecological Society of America; Ecology; 95; 12; 12-2014; 3314-3324
0012-9658
CONICET Digital
CONICET
url http://hdl.handle.net/11336/84128
identifier_str_mv Kaiser Bunbury, Christopher N.; Vazquez, Diego P.; Stang, Martina; Ghazoul, Jaboury; Determinants of the microstructure of plant-pollinator networks; Ecological Society of America; Ecology; 95; 12; 12-2014; 3314-3324
0012-9658
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/14-0024.1
info:eu-repo/semantics/altIdentifier/doi/10.1890/14-0024.1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Ecological Society of America
publisher.none.fl_str_mv Ecological Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1848598031610413056
score 13.25334

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