Predicting Forest Regeneration in the Central Appalachians Using the REGEN Expert System

Autor:	David L. Loftis, David A. Boucugnani, Lance A. Vickers, Thomas R. Fox
Rok vydání:	2011
Předmět:	Clearcutting Forest regeneration Renewable Energy Sustainability and the Environment Ecology Geography Planning and Development West virginia Forest management Forestry Management Monitoring Policy and Law Deserts and xeric shrublands Geography Expert opinion Silviculture Food Science
Zdroj:	Journal of Sustainable Forestry. 30:790-822
ISSN:	1540-756X 1054-9811
Popis:	REGEN is an expert system designed by David Loftis to predict the future species composition of dominant and codominant stems in forest stands at the onset of stem exclusion following a proposed harvest. REGEN predictions are generated using competitive rankings for advance reproduction along with other existing stand conditions. These parameters are contained within modular REGEN knowledge bases (RKBs). To extend REGEN coverage into hardwood stands of the Central Appalachians, RKBs were developed for four site classes (xeric, subxeric, submesic, mesic) based on literature and expert opinion. Data were collected from 48 paired stands in Virginia and West Virginia to calibrate the initial RKBs. Paired stands consisted of one mature uncut hardwood stand adjacent to a regenerating clear-cut stand with similar site characteristics that was harvested within the previous 20 yr. Data from 17 additional paired stands was collected a year later to validate the performance of REGEN. Predicted values were within 4 p...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::02fe2d920ecd7a88caea6125d3fb5fa2 https://doi.org/10.1080/10549811.2011.577400 Zobrazit plný text záznamu