Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks

Autores
Astegiano, Julia; Altermatt, Florian; Massol, François
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Species establish different interactions (e.g. antagonistic, mutualistic) with multiple species, forming multilayer ecological networks. Disentangling network co-structure in multilayer networks is crucial to predict how biodiversity loss may affect the persistence of multispecies assemblages. Existing methods to analyse multilayer networks often fail to consider network co-structure. We present a new method to evaluate the modular co-structure of multilayer networks through the assessment of species degree co-distribution and network module composition. We focus on modular structure because of its high prevalence among ecological networks. We apply our method to two Lepidoptera-plant networks, one describing caterpillar-plant herbivory interactions and one representing adult Lepidoptera nectaring on flowers, thereby possibly pollinating them. More than 50% of the species established either herbivory or visitation interactions, but not both. These species were over-represented among plants and lepidopterans, and were present in most modules in both networks. Similarity in module composition between networks was high but not different from random expectations. Our method clearly delineates the importance of interpreting multilayer module composition similarity in the light of the constraints imposed by network structure to predict the potential indirect effects of species loss through interconnected modular networks.
Fil: Astegiano, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Université de Montpellier; Francia
Fil: Altermatt, Florian. Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology; Suiza
Fil: Massol, François. Université de Montpellier; Francia. Universitat Zurich; Suiza
Materia
BIPARTITE NETWORKS
ECOLOGICAL INTERACTIONS
MULTILAYER NETWORKS
MUTUALISTIC AND ANTAGONISTIC INTERACTION NETWORKS
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:11336/33781

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spelling Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networksAstegiano, JuliaAltermatt, FlorianMassol, FrançoisBIPARTITE NETWORKSECOLOGICAL INTERACTIONSMULTILAYER NETWORKSMUTUALISTIC AND ANTAGONISTIC INTERACTION NETWORKShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Species establish different interactions (e.g. antagonistic, mutualistic) with multiple species, forming multilayer ecological networks. Disentangling network co-structure in multilayer networks is crucial to predict how biodiversity loss may affect the persistence of multispecies assemblages. Existing methods to analyse multilayer networks often fail to consider network co-structure. We present a new method to evaluate the modular co-structure of multilayer networks through the assessment of species degree co-distribution and network module composition. We focus on modular structure because of its high prevalence among ecological networks. We apply our method to two Lepidoptera-plant networks, one describing caterpillar-plant herbivory interactions and one representing adult Lepidoptera nectaring on flowers, thereby possibly pollinating them. More than 50% of the species established either herbivory or visitation interactions, but not both. These species were over-represented among plants and lepidopterans, and were present in most modules in both networks. Similarity in module composition between networks was high but not different from random expectations. Our method clearly delineates the importance of interpreting multilayer module composition similarity in the light of the constraints imposed by network structure to predict the potential indirect effects of species loss through interconnected modular networks.Fil: Astegiano, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Université de Montpellier; FranciaFil: Altermatt, Florian. Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology; SuizaFil: Massol, François. Université de Montpellier; Francia. Universitat Zurich; SuizaNature Publishing Group2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33781Astegiano, Julia; Altermatt, Florian; Massol, François; Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks; Nature Publishing Group; Scientific Reports; 7; 1; 11-20172045-23222045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-017-15811-winfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-017-15811-winfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:54Zoai:ri.conicet.gov.ar:11336/33781instacron: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:34982025-09-29 09:52:54.337CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
title Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
spellingShingle Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
Astegiano, Julia
BIPARTITE NETWORKS
ECOLOGICAL INTERACTIONS
MULTILAYER NETWORKS
MUTUALISTIC AND ANTAGONISTIC INTERACTION NETWORKS
title_short Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
title_full Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
title_fullStr Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
title_full_unstemmed Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
title_sort Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks
dc.creator.none.fl_str_mv Astegiano, Julia
Altermatt, Florian
Massol, François
author Astegiano, Julia
author_facet Astegiano, Julia
Altermatt, Florian
Massol, François
author_role author
author2 Altermatt, Florian
Massol, François
author2_role author
author
dc.subject.none.fl_str_mv BIPARTITE NETWORKS
ECOLOGICAL INTERACTIONS
MULTILAYER NETWORKS
MUTUALISTIC AND ANTAGONISTIC INTERACTION NETWORKS
topic BIPARTITE NETWORKS
ECOLOGICAL INTERACTIONS
MULTILAYER NETWORKS
MUTUALISTIC AND ANTAGONISTIC INTERACTION NETWORKS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Species establish different interactions (e.g. antagonistic, mutualistic) with multiple species, forming multilayer ecological networks. Disentangling network co-structure in multilayer networks is crucial to predict how biodiversity loss may affect the persistence of multispecies assemblages. Existing methods to analyse multilayer networks often fail to consider network co-structure. We present a new method to evaluate the modular co-structure of multilayer networks through the assessment of species degree co-distribution and network module composition. We focus on modular structure because of its high prevalence among ecological networks. We apply our method to two Lepidoptera-plant networks, one describing caterpillar-plant herbivory interactions and one representing adult Lepidoptera nectaring on flowers, thereby possibly pollinating them. More than 50% of the species established either herbivory or visitation interactions, but not both. These species were over-represented among plants and lepidopterans, and were present in most modules in both networks. Similarity in module composition between networks was high but not different from random expectations. Our method clearly delineates the importance of interpreting multilayer module composition similarity in the light of the constraints imposed by network structure to predict the potential indirect effects of species loss through interconnected modular networks.
Fil: Astegiano, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina. Université de Montpellier; Francia
Fil: Altermatt, Florian. Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology; Suiza
Fil: Massol, François. Université de Montpellier; Francia. Universitat Zurich; Suiza
description Species establish different interactions (e.g. antagonistic, mutualistic) with multiple species, forming multilayer ecological networks. Disentangling network co-structure in multilayer networks is crucial to predict how biodiversity loss may affect the persistence of multispecies assemblages. Existing methods to analyse multilayer networks often fail to consider network co-structure. We present a new method to evaluate the modular co-structure of multilayer networks through the assessment of species degree co-distribution and network module composition. We focus on modular structure because of its high prevalence among ecological networks. We apply our method to two Lepidoptera-plant networks, one describing caterpillar-plant herbivory interactions and one representing adult Lepidoptera nectaring on flowers, thereby possibly pollinating them. More than 50% of the species established either herbivory or visitation interactions, but not both. These species were over-represented among plants and lepidopterans, and were present in most modules in both networks. Similarity in module composition between networks was high but not different from random expectations. Our method clearly delineates the importance of interpreting multilayer module composition similarity in the light of the constraints imposed by network structure to predict the potential indirect effects of species loss through interconnected modular networks.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
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/11336/33781
Astegiano, Julia; Altermatt, Florian; Massol, François; Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks; Nature Publishing Group; Scientific Reports; 7; 1; 11-2017
2045-2322
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/33781
identifier_str_mv Astegiano, Julia; Altermatt, Florian; Massol, François; Disentangling the co-structure of multilayer interaction networks: degree distribution and module composition in two-layer bipartite networks; Nature Publishing Group; Scientific Reports; 7; 1; 11-2017
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-017-15811-w
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-017-15811-w
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 Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
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
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