Temporal scale‐dependence of plant–pollinator networks

Autores
Schwarz, Benjamín; Vazquez, Diego P.; Cara Donna, Paul J.; Knight, Tiffany M.; Benadi, Gita; Dormann, Carsten F.; Gauzens, Benoit.; Motivans, Elena; Resasco, Julian; Blüthgen, Nico; Burkle, Laura A.; Fang, Qiang; Kaiser Bunbury, Christopher N.; Alarcón, Ruben; Bain, Justin A.; Chacoff, Natacha Paola; Huang, Shuang Quan; LeBuhn, Gretchen; MacLeod, Molly; Petanidou, Theodora; Rasmussen, Claus; Simanonok, Michael P.; Thompson, Amibeth H.; Fründ, Jochen
Año de publicación
2024
Idioma
inglés
Tipo de recurso
conjunto de datos
Estado
Descripción
The study of mutualistic interaction networks has led to valuable insights into ecological and evolutionary processes. However, our understanding of network structure may depend upon the temporal scale at which we sample and analyze network data. To date, we lack a comprehensive assessment of the temporal scale-dependence of network structure across a wide range of temporal scales and geographic locations. If network structure is temporally scale-dependent, networks constructed over different temporal scales may provide very different perspectives on the structure and composition of species interactions. Furthermore, it remains unclear how various factors—including species richness, species turnover, link rewiring, and sampling effort—act in concert to shape network structure across different temporal scales. To address these issues, we used a large database of temporally-resolved plant-pollinator networks to investigate how temporal aggregation from the scale of one day to multiple years influences network structure. In addition, we used structural equation modeling to explore the direct and indirect effects of temporal scale, species richness, species turnover, link rewiring, and sampling effort on network structural properties. We find that plant-pollinator network structure is strongly temporally-scale dependent. This general pattern arises because the temporal scale determines the degree to which temporal dynamics (i.e. phenological turnover of species and links) are included in the network, in addition to how much sampling effort is put into constructing the network. Ultimately, the temporal scale-dependence of our plant-pollinator networks appears to be mostly driven by species richness, which increases with sampling effort, and species turnover, which increases with temporal extent. In other words, after accounting for variation in species richness, network structure is increasingly shaped by its underlying temporal dynamics. Our results suggest that considering multiple temporal scales may be necessary to fully appreciate the causes and consequences of interaction network structure.
Fil: Schwarz, Benjamín. Albert Ludwigs University of Freiburg; 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: Cara Donna, Paul J.. No especifíca;
Fil: Knight, Tiffany M.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Benadi, Gita. Albert Ludwigs University of Freiburg; Alemania
Fil: Dormann, Carsten F.. Albert Ludwigs University of Freiburg; Alemania
Fil: Gauzens, Benoit.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Motivans, Elena. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Resasco, Julian. University of Colorado; Estados Unidos
Fil: Blüthgen, Nico. Universitat Technische Darmstadt; Alemania
Fil: Burkle, Laura A.. State University of Montana; Estados Unidos
Fil: Fang, Qiang. No especifíca;
Fil: Kaiser Bunbury, Christopher N.. University of Exeter; Reino Unido
Fil: Alarcón, Ruben. California State University; Estados Unidos
Fil: Bain, Justin A.. No especifíca;
Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina
Fil: Huang, Shuang Quan. Central China Normal University; China
Fil: LeBuhn, Gretchen. San Francisco State University; Estados Unidos
Fil: MacLeod, Molly. Rutgers University; Estados Unidos
Fil: Petanidou, Theodora. University Of The Aegean (university Of The Aegean);
Fil: Rasmussen, Claus. University Aarhus; Dinamarca
Fil: Simanonok, Michael P.. State University of Montana; Estados Unidos
Fil: Thompson, Amibeth H.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/249159

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spelling Temporal scale‐dependence of plant–pollinator networksSchwarz, BenjamínVazquez, Diego P.Cara Donna, Paul J.Knight, Tiffany M.Benadi, GitaDormann, Carsten F.Gauzens, Benoit.Motivans, ElenaResasco, JulianBlüthgen, NicoBurkle, Laura A.Fang, QiangKaiser Bunbury, Christopher N.Alarcón, RubenBain, Justin A.Chacoff, Natacha PaolaHuang, Shuang QuanLeBuhn, GretchenMacLeod, MollyPetanidou, TheodoraRasmussen, ClausSimanonok, Michael P.Thompson, Amibeth H.Fründ, Jochenhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The study of mutualistic interaction networks has led to valuable insights into ecological and evolutionary processes. However, our understanding of network structure may depend upon the temporal scale at which we sample and analyze network data. To date, we lack a comprehensive assessment of the temporal scale-dependence of network structure across a wide range of temporal scales and geographic locations. If network structure is temporally scale-dependent, networks constructed over different temporal scales may provide very different perspectives on the structure and composition of species interactions. Furthermore, it remains unclear how various factors—including species richness, species turnover, link rewiring, and sampling effort—act in concert to shape network structure across different temporal scales. To address these issues, we used a large database of temporally-resolved plant-pollinator networks to investigate how temporal aggregation from the scale of one day to multiple years influences network structure. In addition, we used structural equation modeling to explore the direct and indirect effects of temporal scale, species richness, species turnover, link rewiring, and sampling effort on network structural properties. We find that plant-pollinator network structure is strongly temporally-scale dependent. This general pattern arises because the temporal scale determines the degree to which temporal dynamics (i.e. phenological turnover of species and links) are included in the network, in addition to how much sampling effort is put into constructing the network. Ultimately, the temporal scale-dependence of our plant-pollinator networks appears to be mostly driven by species richness, which increases with sampling effort, and species turnover, which increases with temporal extent. In other words, after accounting for variation in species richness, network structure is increasingly shaped by its underlying temporal dynamics. Our results suggest that considering multiple temporal scales may be necessary to fully appreciate the causes and consequences of interaction network structure.Fil: Schwarz, Benjamín. Albert Ludwigs University of Freiburg; 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: Cara Donna, Paul J.. No especifíca;Fil: Knight, Tiffany M.. German Centre For Integrative Biodiversity Research.; AlemaniaFil: Benadi, Gita. Albert Ludwigs University of Freiburg; AlemaniaFil: Dormann, Carsten F.. Albert Ludwigs University of Freiburg; AlemaniaFil: Gauzens, Benoit.. German Centre For Integrative Biodiversity Research.; AlemaniaFil: Motivans, Elena. German Centre For Integrative Biodiversity Research.; AlemaniaFil: Resasco, Julian. University of Colorado; Estados UnidosFil: Blüthgen, Nico. Universitat Technische Darmstadt; AlemaniaFil: Burkle, Laura A.. State University of Montana; Estados UnidosFil: Fang, Qiang. No especifíca;Fil: Kaiser Bunbury, Christopher N.. University of Exeter; Reino UnidoFil: Alarcón, Ruben. California State University; Estados UnidosFil: Bain, Justin A.. No especifíca;Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; ArgentinaFil: Huang, Shuang Quan. Central China Normal University; ChinaFil: LeBuhn, Gretchen. San Francisco State University; Estados UnidosFil: MacLeod, Molly. Rutgers University; Estados UnidosFil: Petanidou, Theodora. University Of The Aegean (university Of The Aegean);Fil: Rasmussen, Claus. University Aarhus; DinamarcaFil: Simanonok, Michael P.. State University of Montana; Estados UnidosFil: Thompson, Amibeth H.. German Centre For Integrative Biodiversity Research.; AlemaniaFil: Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania2024info:ar-repo/semantics/conjuntoDeDatosv1.0info:eu-repo/semantics/dataSetapplication/ziphttp://hdl.handle.net/11336/249159Schwarz, Benjamín; Vazquez, Diego P.; Cara Donna, Paul J.; Knight, Tiffany M.; Benadi, Gita; Dormann, Carsten F.; Gauzens, Benoit.; Motivans, Elena; Resasco, Julian; Blüthgen, Nico; Burkle, Laura A.; Fang, Qiang; Kaiser Bunbury, Christopher N.; Alarcón, Ruben; Bain, Justin A.; Chacoff, Natacha Paola; Huang, Shuang Quan; LeBuhn, Gretchen; MacLeod, Molly; Petanidou, Theodora; Rasmussen, Claus; Simanonok, Michael P.; Thompson, Amibeth H.; Fründ, Jochen; (2024): Temporal scale‐dependence of plant–pollinator networks. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/249159CONICET DigitalCONICETenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:45:41Zoai:ri.conicet.gov.ar:11336/249159instacron: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 14:45:42.269CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Temporal scale‐dependence of plant–pollinator networks
title Temporal scale‐dependence of plant–pollinator networks
spellingShingle Temporal scale‐dependence of plant–pollinator networks
Schwarz, Benjamín
title_short Temporal scale‐dependence of plant–pollinator networks
title_full Temporal scale‐dependence of plant–pollinator networks
title_fullStr Temporal scale‐dependence of plant–pollinator networks
title_full_unstemmed Temporal scale‐dependence of plant–pollinator networks
title_sort Temporal scale‐dependence of plant–pollinator networks
dc.creator.none.fl_str_mv Schwarz, Benjamín
Vazquez, Diego P.
Cara Donna, Paul J.
Knight, Tiffany M.
Benadi, Gita
Dormann, Carsten F.
Gauzens, Benoit.
Motivans, Elena
Resasco, Julian
Blüthgen, Nico
Burkle, Laura A.
Fang, Qiang
Kaiser Bunbury, Christopher N.
Alarcón, Ruben
Bain, Justin A.
Chacoff, Natacha Paola
Huang, Shuang Quan
LeBuhn, Gretchen
MacLeod, Molly
Petanidou, Theodora
Rasmussen, Claus
Simanonok, Michael P.
Thompson, Amibeth H.
Fründ, Jochen
author Schwarz, Benjamín
author_facet Schwarz, Benjamín
Vazquez, Diego P.
Cara Donna, Paul J.
Knight, Tiffany M.
Benadi, Gita
Dormann, Carsten F.
Gauzens, Benoit.
Motivans, Elena
Resasco, Julian
Blüthgen, Nico
Burkle, Laura A.
Fang, Qiang
Kaiser Bunbury, Christopher N.
Alarcón, Ruben
Bain, Justin A.
Chacoff, Natacha Paola
Huang, Shuang Quan
LeBuhn, Gretchen
MacLeod, Molly
Petanidou, Theodora
Rasmussen, Claus
Simanonok, Michael P.
Thompson, Amibeth H.
Fründ, Jochen
author_role author
author2 Vazquez, Diego P.
Cara Donna, Paul J.
Knight, Tiffany M.
Benadi, Gita
Dormann, Carsten F.
Gauzens, Benoit.
Motivans, Elena
Resasco, Julian
Blüthgen, Nico
Burkle, Laura A.
Fang, Qiang
Kaiser Bunbury, Christopher N.
Alarcón, Ruben
Bain, Justin A.
Chacoff, Natacha Paola
Huang, Shuang Quan
LeBuhn, Gretchen
MacLeod, Molly
Petanidou, Theodora
Rasmussen, Claus
Simanonok, Michael P.
Thompson, Amibeth H.
Fründ, Jochen
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The study of mutualistic interaction networks has led to valuable insights into ecological and evolutionary processes. However, our understanding of network structure may depend upon the temporal scale at which we sample and analyze network data. To date, we lack a comprehensive assessment of the temporal scale-dependence of network structure across a wide range of temporal scales and geographic locations. If network structure is temporally scale-dependent, networks constructed over different temporal scales may provide very different perspectives on the structure and composition of species interactions. Furthermore, it remains unclear how various factors—including species richness, species turnover, link rewiring, and sampling effort—act in concert to shape network structure across different temporal scales. To address these issues, we used a large database of temporally-resolved plant-pollinator networks to investigate how temporal aggregation from the scale of one day to multiple years influences network structure. In addition, we used structural equation modeling to explore the direct and indirect effects of temporal scale, species richness, species turnover, link rewiring, and sampling effort on network structural properties. We find that plant-pollinator network structure is strongly temporally-scale dependent. This general pattern arises because the temporal scale determines the degree to which temporal dynamics (i.e. phenological turnover of species and links) are included in the network, in addition to how much sampling effort is put into constructing the network. Ultimately, the temporal scale-dependence of our plant-pollinator networks appears to be mostly driven by species richness, which increases with sampling effort, and species turnover, which increases with temporal extent. In other words, after accounting for variation in species richness, network structure is increasingly shaped by its underlying temporal dynamics. Our results suggest that considering multiple temporal scales may be necessary to fully appreciate the causes and consequences of interaction network structure.
Fil: Schwarz, Benjamín. Albert Ludwigs University of Freiburg; 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: Cara Donna, Paul J.. No especifíca;
Fil: Knight, Tiffany M.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Benadi, Gita. Albert Ludwigs University of Freiburg; Alemania
Fil: Dormann, Carsten F.. Albert Ludwigs University of Freiburg; Alemania
Fil: Gauzens, Benoit.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Motivans, Elena. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Resasco, Julian. University of Colorado; Estados Unidos
Fil: Blüthgen, Nico. Universitat Technische Darmstadt; Alemania
Fil: Burkle, Laura A.. State University of Montana; Estados Unidos
Fil: Fang, Qiang. No especifíca;
Fil: Kaiser Bunbury, Christopher N.. University of Exeter; Reino Unido
Fil: Alarcón, Ruben. California State University; Estados Unidos
Fil: Bain, Justin A.. No especifíca;
Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina
Fil: Huang, Shuang Quan. Central China Normal University; China
Fil: LeBuhn, Gretchen. San Francisco State University; Estados Unidos
Fil: MacLeod, Molly. Rutgers University; Estados Unidos
Fil: Petanidou, Theodora. University Of The Aegean (university Of The Aegean);
Fil: Rasmussen, Claus. University Aarhus; Dinamarca
Fil: Simanonok, Michael P.. State University of Montana; Estados Unidos
Fil: Thompson, Amibeth H.. German Centre For Integrative Biodiversity Research.; Alemania
Fil: Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania
description The study of mutualistic interaction networks has led to valuable insights into ecological and evolutionary processes. However, our understanding of network structure may depend upon the temporal scale at which we sample and analyze network data. To date, we lack a comprehensive assessment of the temporal scale-dependence of network structure across a wide range of temporal scales and geographic locations. If network structure is temporally scale-dependent, networks constructed over different temporal scales may provide very different perspectives on the structure and composition of species interactions. Furthermore, it remains unclear how various factors—including species richness, species turnover, link rewiring, and sampling effort—act in concert to shape network structure across different temporal scales. To address these issues, we used a large database of temporally-resolved plant-pollinator networks to investigate how temporal aggregation from the scale of one day to multiple years influences network structure. In addition, we used structural equation modeling to explore the direct and indirect effects of temporal scale, species richness, species turnover, link rewiring, and sampling effort on network structural properties. We find that plant-pollinator network structure is strongly temporally-scale dependent. This general pattern arises because the temporal scale determines the degree to which temporal dynamics (i.e. phenological turnover of species and links) are included in the network, in addition to how much sampling effort is put into constructing the network. Ultimately, the temporal scale-dependence of our plant-pollinator networks appears to be mostly driven by species richness, which increases with sampling effort, and species turnover, which increases with temporal extent. In other words, after accounting for variation in species richness, network structure is increasingly shaped by its underlying temporal dynamics. Our results suggest that considering multiple temporal scales may be necessary to fully appreciate the causes and consequences of interaction network structure.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:ar-repo/semantics/conjuntoDeDatos
v1.0
info:eu-repo/semantics/dataSet
format dataSet
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/249159
Schwarz, Benjamín; Vazquez, Diego P.; Cara Donna, Paul J.; Knight, Tiffany M.; Benadi, Gita; Dormann, Carsten F.; Gauzens, Benoit.; Motivans, Elena; Resasco, Julian; Blüthgen, Nico; Burkle, Laura A.; Fang, Qiang; Kaiser Bunbury, Christopher N.; Alarcón, Ruben; Bain, Justin A.; Chacoff, Natacha Paola; Huang, Shuang Quan; LeBuhn, Gretchen; MacLeod, Molly; Petanidou, Theodora; Rasmussen, Claus; Simanonok, Michael P.; Thompson, Amibeth H.; Fründ, Jochen; (2024): Temporal scale‐dependence of plant–pollinator networks. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/249159
CONICET Digital
CONICET
url http://hdl.handle.net/11336/249159
identifier_str_mv Schwarz, Benjamín; Vazquez, Diego P.; Cara Donna, Paul J.; Knight, Tiffany M.; Benadi, Gita; Dormann, Carsten F.; Gauzens, Benoit.; Motivans, Elena; Resasco, Julian; Blüthgen, Nico; Burkle, Laura A.; Fang, Qiang; Kaiser Bunbury, Christopher N.; Alarcón, Ruben; Bain, Justin A.; Chacoff, Natacha Paola; Huang, Shuang Quan; LeBuhn, Gretchen; MacLeod, Molly; Petanidou, Theodora; Rasmussen, Claus; Simanonok, Michael P.; Thompson, Amibeth H.; Fründ, Jochen; (2024): Temporal scale‐dependence of plant–pollinator networks. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/249159
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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