We apply and develop diverse modeling techniques and structural analyses as the methodological basis of our research on the ecology and evolution of species-interaction networks.

Individual-based models are broadly applied in Ecology and Evolutionary Biology to investigate how the adaptive behavior of individuals shape emergent properties at the system level (Grimm & Railsback 2005).  In our lab, we are currently extending the IBM framework presented by Raimundo et al. (2014) to investigate the ecological consequences of evolution and coevolution within meta-communities.

Adaptive network models are a class of dynamic network models that capture the feedback loops between changes in the patterns of inter-specific interaction (topological evolution) and changes in the properties of species that comprise the network nodes (Gross & Sayama 2009). In our lab, we are currently applying the ANM framework developed by Raimundo (2015) to investigate theoretical and applied problems using different types of ecological networks from terrestrial and aquatic ecological communities. We have a particular interested in addressing the issues summarized by Raimundo et al. (2018) to bridge gaps between ANMs and ecological restoration research. 

In addition, we are currently developing species distribution models (Peterson & Soberón 2012) as a complementary approach supporting our main lines of inquiry.    


  • Grimm, V. & S. F. Railsback (2005). Individual-based modeling and Ecology. Princeton University Press, Princeton.
  • Gross, T. & H. Sayama (2009). Adaptive networks. Springer Science & Business Media.
  • Peterson, A. T. & J. Soberón (2012). Species distribution modeling and ecological niche modeling: getting the concepts right. Natureza & Consevação 10: 1-6.
  • Raimundo, RLG, JP Gibert, DH Hembry and PR Guimarães Jr. 2014. Conflicting selection in the course of adaptive diversification: the interplay between mutualism and intraspecific competition. The American Naturalist 183: 363-375Article PDF (645 Kb) - Appendix (ZIP file, ~19 Mb). © 2014 by The University of Chicago. Article stable URL:  http://www.jstor.org/stable/10.1086/674965.
  • Raimundo, RLG. 2015. Natural selection and the structure, dynamics, and diversification of mutualistic assemblages.  (Ph.D. Thesis, University of São Paulo, USP).
  • Raimundo, RLG, PR Guimarães, DM Evans. 2018. Adaptive Networks for Restoration EcologyTrends in Ecology and Evolution 33: 664-675.