Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling

Autores
Krasnov, Boris R.; Khokhlova, Irina S.; Kiefer, Mathias S.; Kiefer, Daniel; Lareschi, Marcela; Matthee, Sonja; Sánchez, Juliana Patricia; Shenbrot, Georgy I.; Stanko, Michal; van der Mescht, Luther
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.
Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; Israel
Fil: Khokhlova, Irina S.. Ben Gurion University of the Negev; Israel
Fil: Kiefer, Mathias S.. Ludwig Maximilians Universitat; Alemania
Fil: Kiefer, Daniel. Ludwig Maximilians Universitat; Alemania
Fil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
Fil: Matthee, Sonja. Stellenbosch University; Sudáfrica
Fil: Sánchez, Juliana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina
Fil: Shenbrot, Georgy I.. Ben Gurion University of the Negev; Israel
Fil: Stanko, Michal. Slovak Academy of Sciences. Institute of Botany; Eslovaquia
Fil: van der Mescht, Luther. Stellenbosch University; Sudáfrica
Materia
DISSIMILARITY
ENVIRONMENT
FLEAS
MAMMALS
MULTI-SITE DISSIMILARITY MODELLING
ZETA DIVERSITY
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:11336/220377
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/220377
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modellingKrasnov, Boris R.Khokhlova, Irina S.Kiefer, Mathias S.Kiefer, DanielLareschi, MarcelaMatthee, SonjaSánchez, Juliana PatriciaShenbrot, Georgy I.Stanko, Michalvan der Mescht, LutherDISSIMILARITYENVIRONMENTFLEASMAMMALSMULTI-SITE DISSIMILARITY MODELLINGZETA DIVERSITYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; IsraelFil: Khokhlova, Irina S.. Ben Gurion University of the Negev; IsraelFil: Kiefer, Mathias S.. Ludwig Maximilians Universitat; AlemaniaFil: Kiefer, Daniel. Ludwig Maximilians Universitat; AlemaniaFil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; ArgentinaFil: Matthee, Sonja. Stellenbosch University; SudáfricaFil: Sánchez, Juliana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; ArgentinaFil: Shenbrot, Georgy I.. Ben Gurion University of the Negev; IsraelFil: Stanko, Michal. Slovak Academy of Sciences. Institute of Botany; EslovaquiaFil: van der Mescht, Luther. Stellenbosch University; SudáfricaWiley Blackwell Publishing, Inc2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/220377Krasnov, Boris R.; Khokhlova, Irina S.; Kiefer, Mathias S.; Kiefer, Daniel; Lareschi, Marcela; et al.; Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling; Wiley Blackwell Publishing, Inc; Ecological Entomology; 48; 4; 4-2023; 1-190307-6946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/een.13236info:eu-repo/semantics/altIdentifier/url/https://resjournals.onlinelibrary.wiley.com/doi/10.1111/een.13236info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:17:41Zoai:ri.conicet.gov.ar:11336/220377instacron: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:34982025-10-15 15:17:41.947CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
title Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
spellingShingle Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
Krasnov, Boris R.
DISSIMILARITY
ENVIRONMENT
FLEAS
MAMMALS
MULTI-SITE DISSIMILARITY MODELLING
ZETA DIVERSITY
title_short Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
title_full Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
title_fullStr Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
title_full_unstemmed Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
title_sort Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling
dc.creator.none.fl_str_mv Krasnov, Boris R.
Khokhlova, Irina S.
Kiefer, Mathias S.
Kiefer, Daniel
Lareschi, Marcela
Matthee, Sonja
Sánchez, Juliana Patricia
Shenbrot, Georgy I.
Stanko, Michal
van der Mescht, Luther
author Krasnov, Boris R.
author_facet Krasnov, Boris R.
Khokhlova, Irina S.
Kiefer, Mathias S.
Kiefer, Daniel
Lareschi, Marcela
Matthee, Sonja
Sánchez, Juliana Patricia
Shenbrot, Georgy I.
Stanko, Michal
van der Mescht, Luther
author_role author
author2 Khokhlova, Irina S.
Kiefer, Mathias S.
Kiefer, Daniel
Lareschi, Marcela
Matthee, Sonja
Sánchez, Juliana Patricia
Shenbrot, Georgy I.
Stanko, Michal
van der Mescht, Luther
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv DISSIMILARITY
ENVIRONMENT
FLEAS
MAMMALS
MULTI-SITE DISSIMILARITY MODELLING
ZETA DIVERSITY
topic DISSIMILARITY
ENVIRONMENT
FLEAS
MAMMALS
MULTI-SITE DISSIMILARITY MODELLING
ZETA DIVERSITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.
Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; Israel
Fil: Khokhlova, Irina S.. Ben Gurion University of the Negev; Israel
Fil: Kiefer, Mathias S.. Ludwig Maximilians Universitat; Alemania
Fil: Kiefer, Daniel. Ludwig Maximilians Universitat; Alemania
Fil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
Fil: Matthee, Sonja. Stellenbosch University; Sudáfrica
Fil: Sánchez, Juliana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina
Fil: Shenbrot, Georgy I.. Ben Gurion University of the Negev; Israel
Fil: Stanko, Michal. Slovak Academy of Sciences. Institute of Botany; Eslovaquia
Fil: van der Mescht, Luther. Stellenbosch University; Sudáfrica
description We studied patterns of changes in host–flea interactions measured as total turnover (TT) which can be partitioned into components, namely species turnover (ST), interaction rewiring (RW), and mixed turnover (MX) in networks from Europe, Asia, Africa, and South America, applying a multi-site interaction turnover metric. We also searched for environmental drivers of TT and its components. We asked whether (a) different components contribute differently to TT in rare versus common interactions (in terms of frequency of interaction occurrence); (b) relative roles of turnover components for rare and common interactions differ between continents; and (c) the environmental drivers of interaction turnover differ between turnover components, rare and common interactions, and/or continental networks. Between-network dissimilarity of interactions increased with an increase in the number of compared networks. Pure ST contributed the most to the turnover of rare interactions, whereas the turnover of common interactions was predominated by MX. The effects of environmental factors, interaction richness, and spatial distance on TT and its components differed between continental networks, turnover components, and rare versus common interactions. Climate and vegetation exerted the strongest effects on (a) ST for rare (except Asia) and, to a lesser degree, common (South America) interactions, (b) RW for both rare and common interactions in Europe/Asia, and (c) MX for both rare and common interactions (except Africa). Interaction richness and spatial distance mainly influenced ST. We conclude that the patterns of interaction turnover and its components were geographically invariant and did not depend on the identity of the interactors, whereas the drivers of the turnover differed between continental networks because of species-specific responses to the environment.
publishDate 2023
dc.date.none.fl_str_mv 2023-04
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/11336/220377
Krasnov, Boris R.; Khokhlova, Irina S.; Kiefer, Mathias S.; Kiefer, Daniel; Lareschi, Marcela; et al.; Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling; Wiley Blackwell Publishing, Inc; Ecological Entomology; 48; 4; 4-2023; 1-19
0307-6946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/220377
identifier_str_mv Krasnov, Boris R.; Khokhlova, Irina S.; Kiefer, Mathias S.; Kiefer, Daniel; Lareschi, Marcela; et al.; Multi-site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi-site generalised dissimilarity modelling; Wiley Blackwell Publishing, Inc; Ecological Entomology; 48; 4; 4-2023; 1-19
0307-6946
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/een.13236
info:eu-repo/semantics/altIdentifier/url/https://resjournals.onlinelibrary.wiley.com/doi/10.1111/een.13236
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
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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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score 13.22299

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