Growth and yield of red pine in the Lake States

Abstract

Cover photos: Photos of the Avenue of Pines passing through the Cutfoot Experimental Forest on the Chippewa National Forest in northern Minnesota. Silvicultural studies have been underway in the now 130-year-old red pine forest since 1925. Some portions of this forest have been measured and thinned 10-12 times as part of a research program spanning 80 years.

Robust relationships for simple plantation growth models based on sparse data

“…Well-known forest growth models are often based on very large (e.g., Buckman et al, 2006;Vanclay, 1994a) or sophisticated databases (e.g., Landsberg et al, 2003;Battaglia et al, 2004), but there remains strong demand for forest growth forecasts in situations where efforts to calibrate and initialize models are hampered by a lack of data. This paper examines some robust principles that may underpin simple models based on minimal data for forest plantation forest forecasting.…”

Growth and yield prediction using the modified Buckman model

“…The previous functional relationship is different from that proposed by Buckman (1962) and is a variation of the Schumacher model. Here the variable was included in the model based on results from some preliminary adjustments.…”

“…Such information is obtained by growth and yield models. Buckman (1962) and Clutter (1963) were the first researchers to explain the mathematical relationships between growth and yield. Clutter derived compatible models for growth and yield in cubic volume of Pinus taeda, ensuring that the algebraic form of the yield model could be derived by the mathematical integration of the growth model.…”

“…According to Avery and Burkhart (1994) many researchers have since used multiple regression techniques to predict growth and yield for total plantations or for some commercial portion of the plantation. Buckman (1962) worked with periodic growth data from Pinus and used the following regression model to estimate the basal area growth rate in function of age, basal area and the site index: dV=β 0 + β 1 B+β 2 B 2 + β 3 I+ β 4 I 2 + β 5 S, where dV = net annual periodic increment of the basal area, B = basal area, I = age and, and S = site index.…”

Forest Growth and Yield Modeling

“…In more dynamic situations, where management regimes may change over time, or where a larger range of management options may be entertained, growth models offer greater versatility. Since the growth formulation is the first derivative of the yield formulation, many models can be transformed from one form to another (e.g., [5], [7]). …”