Integrated models are frameworks that combine different components or systems to work together cohesively. These models are often used in various fields, such as environmental science, economics, and healthcare, to analyze complex interactions and improve decision-making. By integrating data and processes, these models provide a more comprehensive understanding of the subject matter. In practice, integrated models can help predict outcomes and assess the impact of changes within a system. For example, in climate modeling, researchers may integrate data on weather patterns, carbon emissions, and land use to forecast future climate scenarios. This holistic approach allows for better planning and resource management.