Abstract The Entangled Brain (Pessoa, L., 2002. MIT Press) promotes the idea that we need
to understand the brain as a complex, entangled system. Why does the complex systems …

Ecosystems are complex and sparsely observed making inference and prediction
challenging. Empirical dynamic modelling (EDM) circumvents the need for a parametric …

In temperate countries, influenza outbreaks are well correlated to seasonal changes in
temperature and absolute humidity. However, tropical countries have much weaker annual …

It is well known that current equilibrium-based models fall short as predictive descriptions of
natural ecosystems, and particularly of fisheries systems that exhibit nonlinear dynamics. For …

Natural systems are often complex and dynamic (ie nonlinear), making them difficult to
understand using linear statistical approaches. Linear approaches are fundamentally based …

The perception that ecosystem-based fishery management is too complex and poorly
defined remains a primary impediment to its broadscale adoption and implementation. Here …

By 2100, ocean waters are expected to be substantially warmer and more acidic than they
are today, with profound effects on coupled social-ecological fisheries systems. Despite …

A close relationship between adult abundance and stock productivity may not exist for many
marine fish stocks, resulting in concern that the management goal of maximum sustainable …

Successfully predicting the future states of systems that are complex, stochastic, and
potentially chaotic is a major challenge. Model forecasting error (FE) is the usual measure of …

Scientists and resource managers often use methods and tools that assume ecosystem
components respond linearly to environmental drivers and human stressors. However, a …