Emergence of structural traits and dynamic effects of temporal variability in mutualistic networks

Wednesday, October 24, 2018

12.00 p.m.

ISI seminar room 1st floor

Dr. Clàudia Payrató University of Cergy-Pontoise - University of Zaragoza

Mutualistic networks are characterized by the fact that its components interact through mutually benefiting activities. A paradigmatic example is the pollination of a flower by a bee, which enhances the reproductive success of the plant while the insect gets fed. This network representation has been of particular importance in ecology, where it served to model entire communities formed, for instance, by plants and pollinators or by plants and seed-disperser birds. In this seminar, I will address two research questions concerning mutualistic networks: how some of its structural characteristics appear, and in the second place, how the temporal variability may affect its population dynamics. I will start by showing how, using a statistical physics approach, we have recently encountered that the widely known structural property called nestedness is actually determined by local traits, particularly the degree sequences. Secondly, I will explore the consequences for biodiversity persistence of introducing empirical information about the temporal patterns of activity of plants and pollinators. To do so, I will use a multilayer network framework which incorporates both mutualistic and competitive interactions.

Clàudia Payrató is a PhD student at the University of Cergy-Pontoise and the University of Zaragoza, working under the joint supervision of Dr Yamir Moreno and Dr Laura Hernández. She graduated in Physics from the University of Barcelona and received a Masters in Physics of Complex Systems from IFISC (University of Balearic Islands). Her research interests concern understanding how positive and negative interaction can coexist in an ecological community and eventually determine the structure and dynamics of the resulting network.