Improving Projections of Wildlife and Landscapes for Natural Resource Managers Completed

Managing natural resources is fraught with uncertainties around how complex social-ecological systems will respond to management actions and other forces, such as climate. Modeling tools have emerged to help grapple with different aspects of this challenge, but they are often used independently. The purpose of this project is to link two types of commonly-used simulation models (agent-based models and state-and-transition simulation models) and streamline the handling of model inputs and outputs. This innovation will provide researchers with the capability to simulate the interactions of wildlife, vegetation, management actions, and other drivers, and thus answer questions and inform decisions about how best to manage natural resources.