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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/249159
Ver los metadatos del registro completo
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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 https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
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repository.mail.fl_str_mv |
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