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Modelling Growth and Yield for Intensively Managed Forests
Burkhart, Harold E. Institute of Forest Science 2008 Journal of Forest Science Vol.24 No.3
Growth and yield prediction methods, ranging from whole-stand models to individual-tree models, have been developed for forest types managed for wood production. The resultant models are used for a host of purposes including inventory updating, management planning, evaluation of silvicultural alternatives, and harvest scheduling. Because of the large investment in developing growth and yield models for improved genotypes and silvicultural practices for loblolly pine (Pinus taeda) in the Southern United States, this region serves to illustrate approaches for modelling intensively managed forests. Analytical methods and computing power generally do not restrict development of reliable growth and yield models. However, long-term empirical observations on stand development, which are time consuming and expensive to obtain, often limit modelling efforts. Given that growth and yield models are used to project present volumes and to evaluate alternative treatment effects, data of both the inventory type and the experimental type are needed. Data for developing stand simulators for loblolly pine plantations have been obtained from a combination of permanent plots in operational forest stands and silvicultural experiments; these data collection efforts are described and summarized. Modelling is essential for integrating and synthesizing diverse information, identifying knowledge gaps, and making informed decisions. The questions being posed today are more complex than in the past, thus further accentuating the need for comprehensive models for stand development.
Modelling Growth and Yield for Intensively Managed Forests
Harold E. Burkhart 강원대학교 산림과학연구소 2008 Journal of Forest Science Vol.24 No.3
Growth and yield prediction methods, ranging from whole-stand models to individual-tree models, have been developed for forest types managed for wood production. The resultant models are used for a host of purposes including inventory updating, management planning, evaluation of silvicultural alternatives, and harvest scheduling. Because of the large investment in developing growth and yield models for improved genotypes and silvicultural practices for loblolly pine (Pinus taeda) in the Southern United States, this region serves to illustrate approaches for modelling intensively managed forests. Analytical methods and computing power generally do not restrict development of reliable growth and yield models. However, long-term empirical observations on stand development, which are time consuming and expensive to obtain, often limit modelling efforts. Given that growth and yield models are used to project present volumes and to evaluate alternative treatment effects, data of both the inventory type and the experimental type are needed. Data for developing stand simulators for loblolly pine plantations have been obtained from a combination of permanent plots in operational forest stands and silvicultural experiments; these data collection efforts are described and summarized. Modelling is essential for integrating and synthesizing diverse information, identifying knowledge gaps, and making informed decisions. The questions being posed today are more complex than in the past, thus further accentuating the need for comprehensive models for stand development.
최정기,유병오,Harold E. Burkhart 한국산림과학회 2007 한국산림과학회지 Vol.96 No.2
Allometry, basal area equations, and volume equations were developed with various tremeasurement variables for the major species, Quercus mongolica and Quercus variabilis, in Korean naturalhardwood forests. For alometry models, the relationships betwen total height-DBH, crown width-DBH,height to the widest portion of the crown-total height, and height to base of crown-total height wereinvestigated. Multiple regresion methods were used to relate anual basal area growth to tree variables ofinitial size (DBH, total height, crown width) and relative size (relative diameter, relative height) as well aslive crown ratio). For tree volume equations, the combined-variable and Schumacher models were fittedwith DBH, total height and crown width for both species.
Choi, Jung-Kee,You, Byung-Oh,Burkhart, Harold E. Korean Society of Forest Science 2007 한국산림과학회지 Vol.96 No.2
Allometry, basal area equations, and volume equations were developed with various tree measurement variables for the major species, Quercus mongolica and Quercus variabilis, in Korean natural hardwood forests. For allometry models, the relationships between total height-DBH, crown width-DBH, height to the widest portion of the crown-total height, and height to base of crown-total height were investigated. Multiple regression methods were used to relate annual basal area growth to tree variables of initial size (DBH, total height, crown width) and relative size (relative diameter, relative height) as well as competition measures (competition index, crown class, exposed crown area, percent exposed crown area, live crown ratio). For tree volume equations, the combined-variable and Schumacher models were fitted with DBH, total height and crown width for both species.