In this just published paper we develop a framework of detecting tipping points in the context of mutualistic networks. Under a scenario of global environmental change that might affect species interactions we show how indicators of resilience could provide early warning in complex communities such as those represented by the network of interactions between plants and their animal mutualists. This work is a first step towards quantifying the risk of network collapse and the possibility to monitor community resilience based on best-indicator species.
Our paper with Jiangfeng Feng and Egbert van Nes in Theoretical Population Biology just appeared online http://dx.doi.org/10.1016/j.tpb.2012.06.003 . We show that predator interference has a dual effect on the dynamics of multispecies predator prey communities: on one hand it increases their dynamical stability (in the sense of leading to stable equilibrium dynamics), while on the other hand it decreases their resilience (in the sense of increasing the number of alternative stable states that these communities may end to).