Temporal scale‐dependence of plant–pollinator networks

• Autores: Schwarz, Benjamin; 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: 2020
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: MUTUALISTIC NETWORKS; PHENOLOGICAL TURNOVER; REWIRING; SAMPLING EFFORT; TEMPORAL DYNAMICS; TEMPORAL EXTENT
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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, Benjamin. 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.. Chicago Botanic Garden; Estados Unidos
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.. Montana State University; Alemania
Fil: Fang, Qiang. Henan University of Science and Technology; China
Fil: Kaiser Bunbury, Christopher N.. University of Exeter; Reino Unido
Fil: Alarcón, Ruben. California State University; Estados Unidos
Fil: Bain, Justin A.. Chicago Botanic Garden; Estados Unidos
Fil: Chacoff, Natacha Paola. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; 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. Univversity of the Aegean; Estados Unidos
Fil: Rasmussen, Claus. University Aarhus; Dinamarca
Fil: Simanonok, Michael P.. Montana State University; Estados Unidos
Fil: Thompson, Amibeth H.. German Centre for Integrative Biodiversity Research; Alemania
Fil: Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania