id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ktzd2efr4jbidabo2vk3lxcvmq	Lance A. Vickers	Predicting Forest Regeneration in the Central Appalachians Using the REGEN Expert System	2011	33	.pdf	application/pdf	17119	6300	87	These results confirmed the suitability of REGEN to predict the future species composition of stands regenerated using the and management guidelines have been developed to evaluate regeneration potential in primarily oak dominated Central hardwood forests (Sander, The REGEN model is an expert system designed by David Loftis to predict the species composition of upper canopy (dominant and codominant) clear-cut stands in the model calibration data set, maples and pioneer species upper canopy species composition of the regenerating clear-cut stands (measured) in the model calibration data set. species composition (based on upper canopy measurements from regenerating clear-cut stand inventories) for each paired stand in each data set. describe the species composition of regenerating stands following clearcutting in the 48 paired stands of the model calibration data set that was stems for each species group individually from regenerating clear-cut stands in the Central species group individually from paired stands in the Central Appalachians used for model	./cache/work_ktzd2efr4jbidabo2vk3lxcvmq.pdf	./txt/work_ktzd2efr4jbidabo2vk3lxcvmq.txt