Growth Intercept Methods for Predicting Site Index in Red Pine Plantations in the Allegheny Plateau of Ohio

1990 ◽  
Vol 7 (1) ◽  
pp. 27-30 ◽  
Author(s):  
James H. Brown ◽  
Charles A. Duncan
Keyword(s):  
Site Index ◽  
Height Growth ◽  
Red Pine ◽  
Site Quality ◽  
Soil Horizon ◽  
Old Field ◽  
Annual Increment ◽  
Breast Height ◽  
Allegheny Plateau ◽  
Growth Intercept

Abstract Growth intercept (GI) techniques were evaluated for estimating site quality in red pine stands planted on old-field sites in the unglaciated Western and Central Allegheny Plateau regions of Ohio. Correlations between height growth of trees below breast height (BH) and height growth above BH were not statistically significant. Site index estimates were made using age at BH and height from BH to the growing tip. Three-year and 5-year growth beginning three internodes above the BH annual increment and 10-year growth beginning one internode above BH were more significantly correlated with height than were intercepts beginning at BH. In equations developed for predicting site index, 3-, 5-, and 10-year intercepts in combination with age accounted for 64 to 80% of the variation in tree heights. Combining thickness of the A soil horizon with GI and age statistically increased the variation accounted for in the 3- and 5-year GI equations; however, for field use, the improvement in accuracy was not sufficient to justify making the additional soil measurement. North. J. Appl. For. 7(1):27-30, March 1990.

Site Index of Red Pine in Relation to Soils and Topography in the Allegheny Plateau of Ohio

1990 ◽  
Vol 7 (3) ◽  
pp. 129-133
Author(s):  
James H. Brown ◽  
Charles A. Duncan
Keyword(s):  
Clay Content ◽  
Site Index ◽  
Height Growth ◽  
Red Pine ◽  
Tree Age ◽  
Soil Horizon ◽  
Slope Position ◽  
Regression Equations ◽  
Old Field ◽  
Allegheny Plateau

Abstract Multiple regression equations using topographic and soil factors were developed for predicting height growth and site index for red pine planted on old-field sites in the unglaciated Western and Central Allegheny Plateau Regions of Ohio. Regression equations containing slope position and aspect combined with tree age accounted for 58% of the variation in heights of trees. Height growth increased with A soil horizon thickness, and adding that variable to equations increased the variation explained to 61%; conversely, growth decreased as clay content of the B soil horizon increased and adding that factor further increased the variation accounted for to 66%. North. J. Appl. For. 7:129-133, September 1990.

Estimating Site Quality of Young Red Pine Plantations by Growth Intercept Methods

1988 ◽  
Vol 5 (2) ◽  
pp. 91-93 ◽  
Author(s):  
Timothy R. Bottenfield ◽  
David D. Reed
Keyword(s):  
Analysis Data ◽  
Site Index ◽  
Height Growth ◽  
Red Pine ◽  
Pine Plantations ◽  
Site Quality ◽  
Stem Analysis ◽  
Breast Height ◽  
Growth Intercept

Abstract Five growth intercept measurements were correlated with site index of red pine plantations in the northern Lakes States. The growth intercept variables were obtained by direct field measurement or indirectly through interpolation of stem analysis data. Growth intercepts represented both time (age in years) and distance (height in feet) measurements. Growth intercepts representing time and the age at breast height are not recommended for use in young red pine plantations. The amount of height growth in the first five annual whorls above 5 and 8 ft were good predictors of site index. North. J. Appl. For. 5:91-93, June 1988.

scholarly journals Growth Intercept Methods for Predicting Site Index in White Pine Plantations in the Glaciated Areas of Ohio

2006 ◽  
Vol 23 (3) ◽  
pp. 176-183 ◽  
Author(s):  
James H. Brown
Keyword(s):  
Site Index ◽  
Growth Increment ◽  
Annual Growth ◽  
Site Quality ◽  
Soil Horizon ◽  
Regression Equations ◽  
White Pine ◽  
Annual Increment ◽  
Growth Intercept ◽  
Annual Growth Increment

Abstract Growth intercept (GI) techniques were evaluated for estimating site quality in white pine stands planted on old-field sites in the Wisconsin-aged glaciated areas of northern and western Ohio. Correlations between growth of trees below the breast high (bh) annual growth increment andheight growth from bh and above were not statistically significant. Site index estimates were made using age at bh and height from the bh annual growth increment to the growing tip. Three-year and 5-year growth beginning 3 years above the bh annual increment and 10-year growth beginning oneinternode above bh were significantly more correlated with height than were intercepts beginning at bh. In multiple regression equations developed for predicting site index, 3-, 5- and 10-year intercepts, along with age at bh, accounted for 76, 77, and 80%, respectively, of the variationin tree heights and 35-year site indices varied from 60 to 83 ft. Combining clay content of the B2 soil horizon with GI and age increased the variation accounted for by 3-, 5-, and 10-year GI equations to 79, 78, and 81%, respectively, and the improvement in site index estimatesover those using GIs alone was not more than ±2 ft within any given GI measurement.

scholarly journals Growth and Site Index of White Pine in Relation to Soils and Topography in the Glaciated Areas of Ohio

2007 ◽  
Vol 24 (2) ◽  
pp. 98-103 ◽  
Author(s):  
James H. Brown
Keyword(s):  
Clay Content ◽  
Site Index ◽  
Growth Increment ◽  
Height Growth ◽  
Soil Horizon ◽  
Slope Position ◽  
Regression Equations ◽  
Old Field ◽  
White Pine ◽  
Annual Increment

Abstract Multiple regression equations were developed using topographic and soil factors for predicting growth and site index of white pine growing on old-field sites in the Wisconsin-aged glaciated areas of northern and western Ohio. Correlations between height growth of trees below the breast high (bh) annual growth increment and bh and above were not statistically significant and growth and site index estimates were made using age at bh and growth from the bh annual increment to the growing tip. The best estimates of heights and site index were obtained when data were subdivided into two groups. For plots having 0–10% slopes, two regression equations were developed for predicting height growth: one containing slope shape and depth to soil mottling and the other adding percent clay in the B2 soil horizon to the equation. Those equations accounted for 67 and 73%, respectively, of the variation in heights of trees and 35-year site index ranged from 62 to 82 ft, with the best growth on convex-shaped slopes having the greatest depth to mottling and the lowest clay content. For sites having slopes greater than 10%, one equation was developed containing slope position and slope percent as variables. That equation accounted for 72% of the variation in heights of trees, and site index ranged from 71 to 81 ft, with the best growth on plots at the bottom of slopes having the lowest slope percent.

Polymorphic site index curves for jack pine in Northern Ontario

2001 ◽  
Vol 77 (1) ◽  
pp. 141-150 ◽  
Author(s):  
Willard H. Carmean ◽  
G. Hazenberg ◽  
G. P. Niznowski
Keyword(s):  
Analysis Data ◽  
Site Index ◽  
The United States ◽  
Jack Pine ◽  
Height Growth ◽  
Growth Patterns ◽  
Site Quality ◽  
Northern Ontario ◽  
Breast Height ◽  
The North

Stem-analysis data from dominant and codominant trees were collected from 383 plots located in fully stocked, even-aged, undisturbed mature jack pine stands. Separate site index curves were independently formulated for four regions of northern Ontario using the Newnham constrained nonlinear regression model; these formulations were used for comparing regional site index curves at three levels of site index (10 m, 15 m and 20 m).Comparisons showed that no significant differences existed between the four regional curves as well as with previously published site index curves for the North Central Region. Each of the four regions had similar polymorphic height-growth patterns; therefore, data for the four regions were combined and a single formulation was used to develop a polymorphic set of site index curves for all of northern Ontario. We found that poor sites in each region had almost linear height growth up to 100 years breast-height age, but for each region height growth became more curvilinear with increasing site index. The recommended site index curves for northern Ontario are based on a formulation using only data from plots 100 years and less but this formulation was not significantly different from a formulation using only data from plots 80 years and less, or a formulation that included all data from plots older than 100 years breast-height age.Comparisons were made between our northern Ontario curves and other jack pine site index curves for Ontario as well as curves for other areas of Canada and the United States. These comparisons generally showed considerable older age differences. Reasons for these differences are uncertain but could be due to differences in the amount and kind of data used for these other curves, could be due to differences in analytical methods, or could be due to regional differences in climate, soil and topography. Key words: site quality evaluation, polymorphic height growth, regional site index curves, site index prediction equations, comparisons among site index curves.

Early Height Growth and Site Index for Planted Red Pine in North Central Ontario

1995 ◽  
Vol 12 (1) ◽  
pp. 23-29
Author(s):  
William H. Carmean ◽  
James S. Thrower
Keyword(s):  
Growth Curves ◽  
Analysis Data ◽  
Site Index ◽  
Height Growth ◽  
Red Pine ◽  
North Central ◽  
Breast Height ◽  
Excellent Growth ◽  
Index Estimation ◽  
Best Estimates

Abstract Height-growth, site-index curves, and growth intercepts were developed from internode and stem-analysis data using dominant trees in 25 plots located in red pine plantations aged 26 to 37 yr. Height-growth curves were based on breast-height age because growth below breast height (1.3 m) was slow and erratic. Growth intercepts using the first three to five internodes above 1.5 m gave the best estimates of site index (dominant height at 20 yr breast-height age)for trees that were between 3 and 5 yr breast-height age; site-index estimation equations gave the best estimates for trees older than 10 yr breast-height age. These computed height-growth curves and growth intercepts and observed site index in north central Ontario were similar to other regions. The excellent growth observed in this study suggests that red pine should be given greater emphasis in future reforestation programs in north central Ontario. North. J. Appl. For. 12(1): 23-29.

Site Index Curves for Unthinned Norway Spruce Plantations in New York

1988 ◽  
Vol 5 (4) ◽  
pp. 251-254
Author(s):  
Eric J. Jokela ◽  
Steven B. Jack ◽  
Christopher A. Nowak
Keyword(s):  
New York ◽  
Norway Spruce ◽  
Analysis Data ◽  
Site Index ◽  
Old Field ◽  
Breast Height ◽  
Soil Catena ◽  
Central New York ◽  
Field Estimation ◽  
Allegheny Plateau

Abstract Polymorphic site index curves were developed for Norway spruce growing in unthinned, old-field plantations in the Allegheny Plateau region of central New York (reference age is 50 years at breast height). Stem analysis data were collected from 151 dominant and codominant trees representing a single but wide-spread soil catena (Bath - Lordstown - Mardin - Volusia; approx. 2.7 million ac). Site index curves at 10-ft intervals for breast height ages 10 to 50 years are furnished for field estimation. For more precise estimates, a table of site index values by 2-ft heights and 2-year ages is provided. North. J. Appl. For. 5:251-254, December 1988.

scholarly journals A Height Growth Model and Associated Growth Intercept Models for Estimating Site Index in Black Spruce (Picea mariana Mill. B.S.P.) Plantations in Northern Ontario, Canada

2011 ◽  
Vol 28 (3) ◽  
pp. 129-137
Author(s):  
Martin M. Kwiaton ◽  
Jian R. Wang ◽  
Douglas E.B. Reid
Keyword(s):  
Picea Mariana ◽  
Black Spruce ◽  
Site Index ◽  
Height Growth ◽  
Growth And Yield ◽  
Site Quality ◽  
Northern Ontario ◽  
Spruce Stands ◽  
Growth Intercept

Abstract Site quality is a key component of growth and yield models because height growth rates are known to be influenced by available site resources. Accurate prediction of future growth and yield requires site quality information for both plantations and natural stands. The forest industry in northern Ontario relies on high-quality wood and fiber from black spruce (Picea mariana Mill. B.S.P.); therefore, these tools are essential to ensure sustainable forest management. Although there are site index (SI) models for natural-origin black spruce stands in northern Ontario, models for estimating site quality of young black spruce plantations have not been developed. We used stem analysis data collected from 62 plantations (>40 years of age) of pure black spruce across northern Ontario to develop height growth, SI, and variable growth intercept models. The distinct height growth patterns we observed may be attributed to early silvicultural treatments (site preparation and herbicide) in plantations allowing black spruce trees to attain breast height (1.3 m) faster than in fire-origin stands in northern Ontario. Our models can be used to estimate site quality of black spruce plantations, a key consideration for silviculture and forest management planning. We also compare our managed stand SI model to one we developed from a comparable subset of data from black spruce growing in unmanaged stands and propose a method to assign an SI with a common base age to pure upland black spruce stands regardless of origin.

Site Index of Yellow-Poplar in Relation to Soils and Topography in the Allegheny Plateau of Ohio

1988 ◽  
Vol 5 (1) ◽  
pp. 34-38
Author(s):  
James H. Brown ◽  
Robert D. Marquard
Keyword(s):  
Soil Depth ◽  
Site Index ◽  
Tree Age ◽  
Soil Horizon ◽  
Slope Position ◽  
Regression Equations ◽  
Eastern United States ◽  
Old Field ◽  
Yellow Poplar ◽  
Allegheny Plateau

Abstract Yellow-poplar is an important component of forest stands in much of the central and eastern United States, and areas and volumes of the species have increased significantly in recent years. Multiple regression equations using soil and topographic factors were developed for predicting height growth and site index for yellow-poplar growing on old-field sites in the unglaciated Allegheny Plateau of Ohio. Equations containing only aspect, slope position, and tree age accounted for approximately 75% of the variation in heights of trees, while adding total soil depth and/or pH of the A soil horizon increased the variation accounted for to 80 to 83%. Thirty-five year site indices (based on age at breast height (bh) and height from bh to growing tip) varied from 56 to 80 ft. North. J. Appl. For. 5:34-38, March 1988

scholarly journals Early Height Growth and Site Index of Lodgepole Pine Under Wet and Dry Soil Moisture Regimes in British Columbia

1997 ◽  
Vol 12 (1) ◽  
pp. 5-8
Author(s):  
Gordon D. Nigh
Keyword(s):  
Soil Moisture ◽  
Pinus Contorta ◽  
Lodgepole Pine ◽  
Site Index ◽  
Height Growth ◽  
Moisture Regimes ◽  
Indicator Variables ◽  
Soil Moisture Availability ◽  
A Site ◽  
Growth Intercept

Abstract The objective of this study was to determine whether the relationship between site index and early height growth of lodgepole pine (Pinus contorta var. latifolia) is the same on wet and dry sites. If the height growth/site index relationship is the same for different site types, then only one growth intercept model is required to estimate site index. Indicator variables in nonlinear regression were used to incorporate soil moisture availability into a growth intercept model. One set of parameters in a site index/early height growth model was adequate for both wet and dry sites. This result was supported graphically. Therefore, only one growth intercept model is necessary for the sites examined in this study. West. J. Appl. For. 12(1):5-8.

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