Contemporary rates of biodiversity decline emphasize the need for reliable ecological
forecasting, but current methods vary in their ability to predict the declines of real-world …

Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tip** point”. Some examples are mass extinctions …

The contributions of species to ecosystem functions or services depend not only on their
presence but also on their local abundance. Progress in predictive spatial modelling has …

In the face of global biodiversity declines, predicting the fate of biological systems is a key
goal in ecology. One popular approach is the search for early warning signals (EWS s) …

Research aimed at identifying indicators of persistent abrupt shifts in ecological
communities, aka regime shifts, has led to the development of a suite of early warning …

Catastrophic regime shifts in various ecosystems are increasing with the intensification of
anthropogenic pressures. Understanding and predicting critical transitions are thus a key …

Global climate change likely alters the structure and function of vegetation and the stability of
terrestrial ecosystems. It is therefore important to assess the factors controlling ecosystem …

Early warning signals (EWSs) offer the hope that patterns observed in data can predict the
future states of ecological systems. While a large body of research identifies such signals …

Data on sex ratios, age classes, reproductive success and health status are key metrics to
manage populations, yet can be difficult to collect in wild cetacean populations. Long‐term …

Early warning signals (EWSs) aim to predict changes in complex systems from
phenomenological signals in time series data. These signals have recently been shown to …