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.
A first joint work in my new lab of Jordie Bascompte got published in Nature Communications few weeks ago. By simulating mutualistic communities of 57 empirical plant pollinator and plant seed-disperser networks we identify scenarios where species’ tolerance is extremely sensitive to the direction of change in the strength of mutualistic interaction, as well as to the observed mutualistic trade-offs between the number of partners and the strength of the interactions.