Temporal scale‐dependence of plant–pollinator networks

Registro completo

Título

Temporal scale‐dependence of plant–pollinator networks

Autor(es)

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

Afiliación(es) del/de los autor(es)

Schwarz, Benjamín. Albert Ludwigs University of Freiburg; Alemania
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
Cara Donna, Paul J.. No especifíca;
Knight, Tiffany M.. German Centre For Integrative Biodiversity Research.; Alemania
Benadi, Gita. Albert Ludwigs University of Freiburg; Alemania
Dormann, Carsten F.. Albert Ludwigs University of Freiburg; Alemania
Gauzens, Benoit.. German Centre For Integrative Biodiversity Research.; Alemania
Motivans, Elena. German Centre For Integrative Biodiversity Research.; Alemania
Resasco, Julian. University of Colorado; Estados Unidos
Blüthgen, Nico. Universitat Technische Darmstadt; Alemania
Burkle, Laura A.. State University of Montana; Estados Unidos
Fang, Qiang. No especifíca;
Kaiser Bunbury, Christopher N.. University of Exeter; Reino Unido
Alarcón, Ruben. California State University; Estados Unidos
Bain, Justin A.. No especifíca;
Chacoff, Natacha Paola. Universidad Nacional de Tucumán; Argentina
Huang, Shuang Quan. Central China Normal University; China
LeBuhn, Gretchen. San Francisco State University; Estados Unidos
MacLeod, Molly. Rutgers University; Estados Unidos
Petanidou, Theodora. University Of The Aegean (university Of The Aegean);
Rasmussen, Claus. University Aarhus; Dinamarca
Simanonok, Michael P.. State University of Montana; Estados Unidos
Thompson, Amibeth H.. German Centre For Integrative Biodiversity Research.; Alemania
Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania

Resumen

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.

Año de publicación

2024

Idioma

inglés

Formato (Tipo MIME)

application/zip

Clasificación temática de acuerdo a la FORD

Ciencias biológicas

Condiciones de uso

Disponible en acceso abierto bajo licencia Creative Commons https://creativecommons.org/licenses/by/2.5/ar/

Repositorio digital

CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas