NED-2 is a sophisticated, intelligent, goal driven, and integrated multi-agent decision support system for forest ecosystem management. NED-2 currently integrates various forest management tools and models, including vegetation growth and yield models, wildlife models, management models for timber, ecology, water, and visual quality goals, GIS reporting tool, HTML report generating tool, etc.. This thesis describes recent work on the integration of the Stand Visualization System and the Loftis REGEN Model, as well as other extensions to NED-2. These tools and models provide functionalities of visualizing forest stands and modeling the regeneration process in forest ecosystems, respectively.