The goal of the approach is to provide natural resource managers with information to anticipate and respond to short and long-term climate conditions.

[3][4] This kind of analysis employs a Bayesian Network that provides a probabilistic graphical model of a set of parameters, and can accommodate unobserved variables.

A Bayesian structure is a probabilistic approach that is flexible for high-dimensional data, and allows ecologists to separate sources of uncertainty in their models.

"Animals have not yet invaded 2/3 of Earth's habitats, and it could be that without human influence biodiversity will continue to increase in an exponential fashion.

"Forecasts of temperature, shown in the diagram at the right as colored dots, along the North Island of New Zealand in the austral summer of 2007.