Adaptive dynamics of trait diversification in mutualistic networks

Henintsoa Onivola Minoarivelo studies the interplay between the effect of mutualistic interactions on the coevolution of phenotypic traits and how phenotypic character change influences the way species interact.

Introduction

Species have the faculty to adapt to their environment in order to survive. This adaptive behavior has shaped the evolution of phenotypic traits in mutualistic networks such as in plant-pollinator or frugivory networks, leading to trait  convergence or diversification and the appearance of new functional groups. The evolutionary dynamics of phenotypic characters in turn affects the way species interact and consequently the complex assemblage of mutualistic networks. In this study, the interplay between the effect of mutualistic interactions on the coevolution of phenotypic traits and how phenotypic character change influences the way species interact were explored.

Methodology

A model of mutualistic network shaped by both the evolutionary dynamics of species traits and the ecological dynamics of species population was built. The population dynamics were modeled by a first order ordinary differential equation composed of a demographic term plus the supply given by the mutualistic interaction. Parameters of the population dynamics are influenced by the considered evolving traits that are representative of each species population. To link the dynamics of the populations and the evolutionary dynamics of the traits, tools provided by adaptive dynamics theory were used. Evolutionary dynamics of species traits were explored by studying the evolution of resident traits into mutant traits and the condition for both the residents and the mutants to coexist. The so-called canonical equation of adaptive dynamics was used to model the evolutionary dynamics of the system. The dynamics of the interaction networks was based on species' foraging behavior according to the benefits they gain from the interactions. Metrics of network architecture such as connectance or the nestedness were measured to analyze the organization of mutualistic networks.

Results

The appearance of evolutionary branching points leading to the emergence of traits diversification is favored when intraspecific competion for resources is strong and when interacting partner species do not have a strong selective behavior based on phenotypical trait complementarity. The strength of coevolutionary selection enhances the connectance and nestedness of the resulting networks because of a reciprocal specialization of the interacting functional groups. Moreover, the strength of intraspecific competition seems not to explicitly affect the structure of the networks.

Conclusion

For a given set of parameters, the evolution of a phenotypic trait such as  body masses for frugivores or fruit sizes for plants, interacting with ecological changes driven by resources competition and mutualism, suffices for a polymorphic population to emerge from the system. The resulting interaction networks have complex structures for the intermediate strength of the coevolutionary selection.

Supervisors

Cang Hui, Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch, University, Matieland 7602, South Africa
Ulf Dieckmann, Evolution and Ecology Program (EEP), IIASA

Note

Henintsoa Onivola Minoarivelo of the University of Stellenbosch is a South African citizen. She was funded by IIASA's South African National Member Organization during the YSSP.

Please note these Proceedings have received limited or no review from supervisors and IIASA program directors, and the views and results expressed therein do not necessarily represent IIASA, its National Member Organizations, or other organizations supporting the work.


Print this page

Last edited: 23 March 2015

CONTACT DETAILS

Ulf Dieckmann

Program Director

Evolution and Ecology

SA-YSSP Dean (IIASA)

Capacity Building and Academic Training

T +43(0) 2236 807 386

Further information

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313