Hybrid modelling of complex ecological systems for decision support: Recent successes and future perspectives

Abstract Hybrid models combine multiple modelling approaches to represent complex, integrated systems of human and biophysical components. These models are highly data driven, and serve to aid in pattern extraction and knowledge synthesis, providing an important link between data sources and decision support. By allowing the simulation of the many emergent plausible futures for complex systems, hybrid models will become increasingly important decision-support tools.

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