Land systems are characterised by many feedbacks. They contribute to various nonlinear land system behaviour. This thesis aims to explore and understand the effects of feedbacks on land system behaviour by means of a systematic review, followed by a modelling approach. A series of stylised Agent-Based Models are constructed to understand the effects of feedbacks on tipping points, hysteresis, and land system resilience. Both positive feedback and negative feedback are incorporated in these stylised models to explore how they affect a simple agricultural land use system.