Our planet is changing at paces never observed before. Species extinction is happening at
faster rates than ever, greatly exceeding the five mass extinctions in the fossil record …

Most predictive models of ecosystem dynamics are based on interactions between
organisms: their influence on each other's growth and death. We review here how …

There is a rich amount of information in co‐occurrence (presence–absence) data that could
be used to understand community assembly. This proposition first envisioned by Forbes …

Co‐occurrence methods are increasingly utilized in ecology to infer networks of species
interactions where detailed knowledge based on empirical studies is difficult to obtain. Their …

Rock is wrapped by paper, paper is cut by scissors and scissors are crushed by rock. This
simple game is popular among children and adults to decide on trivial disputes that have no …

Many analyses of ecological networks in recent years have introduced new indices to
describe network properties. As a consequence, tens of indices are available to address …

Inferring biotic interactions from functional, phylogenetic and geographical proxies remains
one great challenge in ecology. We propose a conceptual framework to infer the backbone …

Knowledge of feeding rates is the basis to understand interaction strength and subsequently
the stability of ecosystems and biodiversity. Feeding rates, as all biological rates, depend on …

Darwin used the metaphor of a 'tangled bank'to describe the complex interactions between
species. Those interactions are varied: they can be antagonistic ones involving predation …

Summary 1 A fundamental goal of ecological network research is to understand how the
complexity observed in nature can persist and how this affects ecosystem functioning. This is …