Within-day dynamics of plant–pollinator networks are dominated by early flower closure: an experimental test of network plasticity

• Autores: Schwarz, Benjamin; Dormann, Carsten F.; Vazquez, Diego P.; Fründ, Jochen
• Año de publicación: 2021
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: CICHORIEAE; CIRCADIAN RHYTHMS; DIEL DYNAMICS; FLOWER VISITATION; TEMPORAL TURNOVER
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Temporal variability of plant–pollinator interactions is important for fully understanding the structure, function, and stability of plant–pollinator networks, but most network studies so far have ignored within-day dynamics. Strong diel dynamics (e.g., a regular daily cycle) were found for networks with Cichorieae, which typically close their flowers around noon. Here, we experimentally prevented early flower closure to test whether these dynamics are driven by the temporally limited availability of Cichorieae, or by timing of pollinator activity. We further tested if the dynamics involving Cichorieae and their pollinators also affect the dynamics on other plants in the network. Finally, we explored the structure of such manipulated networks (with Cichorieae available in the morning and afternoon) compared to unmanipulated controls (Cichorieae available only in the morning). We found that flower closure of Cichorieae is indeed an important driver of diel network dynamics, while other drivers of pollinator timing appeared less important. If Cichorieae flowers were available in the afternoon, they were visited by generalist and specialist pollinators, which overall decreased link turnover between morning and afternoon. Effects of afternoon availability of Cichorieae on other plants in the network were inconclusive: pollinator switching to and from Cichorieae tended to increase. On the level of the aggregated (full-day) network, the treatment resulted in increased dominance of Cichorieae, reducing modularity and increasing plant generality. These results highlight that network dynamics can be predicted by knowledge of diel or seasonal phenology, and that fixed species timing assumptions will misrepresent the expected dynamics.
Fil: Schwarz, Benjamin. Albert Ludwigs University of Freiburg; Alemania
Fil: Dormann, Carsten F.. 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. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Fründ, Jochen. Albert Ludwigs University of Freiburg; Alemania