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.
In a short conceptual paper that appeared this month in TREE, we play around with the idea that depending on the scale and the rate of change of ecological systems, responses to crossing tipping points may differ widely. Ecosystems without tipping points may appear hysteretic, whereas hysteretic systems may offer a window of opportunity for averting a regime shift even after having passed their tipping point. Such insights may change the way ecosystem managers and policy makers view common practices in a changing world.