Creating a model to optimize land conservation would enable more effective planning and endangered species protection.
Conservation planning decisions are essential to preserve biodiversity. However, these decisions are complex due to their multiple attributes which may overload computational solvers. This requires planners to use heuristic procedures that may provide sub-optimal solutions. The aim of this project is to develop a decision planning tool that leverages existing landscape attributes to recommend which
The research aims to provide a modeling tool to be utilized in a reserve planning context to help maintain connectivity (connected landscapes for animal gene flow and migration). There have been many studies involving the methods of modeling connectivity, and the team is searching for possible improvements in this area, specifically for the purpose of