(Under the direction of Walter D. Potter) 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 mangement 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. Index words: ecosystem management, decision support system, multi-agent system, knowledge-based system, blackboard architecture, the Lofti
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.