Forest landscape models simulate temporal change of forests using spatially referenced data across a broad spatial scale (landscape scale) generally larger than a single forest stand. Spatial interactions between forest stands are a key component of such models. These models can incorporate other spatiotemporal processes such as natural disturbances (e.g., wildfires, hurricanes, outbreaks of native and exotic invasive pests and diseases) and human influences (e.g., harvesting and commercial thinning, planting, fire suppression). The models are increasingly used as tools for studying forest management, ecological assessment, restoration planning, and examining the impact of climate change. In this article, we define forest landscape models and discuss their development, components, and types. We also review commonly used methods and approaches in modeling, their applications, and the strengths and limitations of different forest landscape models. New developments in computer sciences, geographic information systems (GIS), remote sensing technologies, decision-support systems, and geo-spatial statistics have provided opportunities for developing new generations of forest landscape models that are more valuable in ecological research, restoration planning, and resource management.