scholarly journals Site index equations and mean annual increment equations for Pacific Northwest Research Station forest inventory and analysis inventories, 1985-2001 /

2003 ◽  
Author(s):  
Erica J. Hanson ◽  
David L. Azuma ◽  
Bruce A. Hiserote ◽  
Keyword(s):  
Pacific Northwest ◽  
Forest Inventory ◽  
Site Index ◽  
Research Station ◽  
Annual Increment ◽  
Forest Inventory And Analysis ◽  
Mean Annual Increment

Northeastern Forest Survey Site Index Equations and Site Productivity Classes

1986 ◽  
Vol 3 (4) ◽  
pp. 144-148 ◽  
Author(s):  
Charles T. Scott ◽  
Nancy G. Voorhis
Keyword(s):  
Forest Inventory ◽  
Site Index ◽  
Forest Growth ◽  
Site Productivity ◽  
Annual Increment ◽  
Potential Productivity ◽  
Forest Inventory And Analysis ◽  
Forest Survey ◽  
Forest Experiment Station ◽  
Mean Annual Increment

Abstract The Forest Inventory and Analysis project of the Northeastern Forest Experiment Station estimates site productivity as part of its survey of the forest resources. Site productivity is defined as the growth rate of a fully stocked stand at the age of maximum mean annual increment. It is assumed that site productivity is related to site index and can be estimated from it. Polymorphic site index equations for 19 species found in the Northeast are presented for use in determining site productivity class. The equations were developed from existing site index tables or equations and are intended to facilitate the analysis of forest growth and potential productivity. North. J. Appl. For. 3:144-148, Dec. 1986.

scholarly journals Forest Type Definitions by Cluster Analysis

2001 ◽  
Vol 16 (3) ◽  
pp. 101-105 ◽  
Author(s):  
Willem W.S. van Hees ◽  
Kevin Dobelbower ◽  
Kenneth Winterberger
Keyword(s):  
Cluster Analysis ◽  
Pacific Northwest ◽  
Forest Inventory ◽  
Forest Type ◽  
Research Station ◽  
Inventory Data ◽  
Southeast Alaska ◽  
Cluster Development ◽  
Forest Inventory Data

Abstract A method is presented to develop forest type definitions by using cluster analysis of forest inventory data collected in southeast Alaska from 1995 through 1998. Species stocking levels were used as variables for cluster development. Pacific Northwest Research Station forest inventory staff could not compute forest type for some forested conditions in southeast Alaska using then existing forest type definitions. Forest type definitions developed by cluster analysis improved computed assignment of forest type. West. J. Appl. For. 16(3):101–105.

Classification of Eucalyptus plantation Site Index (SI) and Mean Annual Increment (MAI) prediction using DEM-based geomorphometric and climatic variables in Brazil

2020 ◽  
pp. 1-18
Author(s):  
Aliny Aparecida Dos Reis ◽  
Steven E. Franklin ◽  
Fausto Weimar Acerbi Júnior ◽  
Antonio Carlos Ferraz Filho ◽  
José Marcio de Mello
Keyword(s):  
Site Index ◽  
Climatic Variables ◽  
Annual Increment ◽  
Eucalyptus Plantation ◽  
Mean Annual Increment

scholarly journals Dominant Height Model for Site Classification ofEucalyptus grandisIncorporating Climatic Variables

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
José Roberto Soares Scolforo ◽  
Romualdo Maestri ◽  
Antonio Carlos Ferraz Filho ◽  
José Márcio de Mello ◽  
Antônio Donizette de Oliveira ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Eucalyptus Grandis ◽  
Site Index ◽  
Climatic Variables ◽  
Site Classification ◽  
Monthly Precipitation ◽  
Annual Increment ◽  
Dominant Height ◽  
Mean Annual Increment ◽  
Height Model

This study tested the effects of inserting climatic variables inEucalyptus grandisas covariables of a dominant height model, which for site index classification is usually related to age alone. Dominant height values ranging from 1 to 12 years of age located in the Southeast region of Brazil were used, as well as data from 19 automatic meteorological stations from the area. The Chapman-Richards model was chosen to represent dominant height as a function of age. To include the environmental variables a modifier was included in the asymptote of the model. The asymptote was chosen since this parameter is responsible for the maximum value which the dominant height can reach. Of the four environmental variables most responsible for database variation, the two with the highest correlation to the mean annual increment in dominant height (mean monthly precipitation and temperature) were selected to compose the asymptote modifier. Model validation showed a gain in precision of 33% (reduction of the standard error of estimate) when climatic variables were inserted in the model. Possible applications of the method include the estimation of site capacity in regions lacking any planting history, as well as updating forest inventory data based on past climate regimes.

Cubic and Board Foot Volume Models for the Central States

1991 ◽  
Vol 8 (2) ◽  
pp. 47-57 ◽  
Author(s):  
Jerold T. Hahn ◽  
Mark H. Hansen
Keyword(s):  
Forest Inventory ◽  
Site Index ◽  
Forest Service ◽  
Timber Species ◽  
Usda Forest Service ◽  
Data Set ◽  
Forest Inventory And Analysis ◽  
Regression Techniques ◽  
Species Groups ◽  
Volume Models

Abstract This paper presents tree volume models developed for major timber species in the Central States (Indiana, Illinois, Missouri, and Iowa). Models for estimating gross tree volume (either cubic foot or board foot International ¼-in. log rule) and percent cull were developed for 23 species or species groups. These models estimate volume based on observed dbh and tree site index. Nonlinear regression techniques were used to fit a Weibull-type function to estimate gross volume with a data set containing observations from more than 50,000 trees measured throughout the region. A simple linear model was used to estimate percent cull in a tree for each of several tree classes. These models are being used in the statewide inventories now underway in Missouri and Iowa and may be used by anyone desiring volume-per-tree estimates that are comparable to USDA Forest Service Forest Inventory and Analysis estimates in these areas. North. J. Appl. For. 8(2):47-57

Assessing multiple estimates of plantation productivity

1989 ◽  
Vol 19 (8) ◽  
pp. 948-954 ◽  
Author(s):  
David D. Reed ◽  
Elizabeth A. Jones
Keyword(s):  
Site Index ◽  
Classification Systems ◽  
Pine Plantations ◽  
Annual Increment ◽  
Habitat Classification ◽  
Soil Site ◽  
Plantation Productivity ◽  
Mean Annual Increment ◽  
True Values ◽  
Forest Managers

Forest managers are often faced with several estimates of plantation productivity. Not only are there different measures of productivity, such as site index or mean annual increment at some fixed age, but estimates of each may be obtained from several sources, including habitat classification systems, soil site equations, and growth measures from young stands. Site index cannot be truly observed until the stand reaches index age, and mean annual increment cannot be truly observed without measuring standing volume at the age of interest. Without observations of these "true" values, common measures of accuracy have only generally evaluated performance compared to a standard method that accurately predicts these values. In this paper, a technique of assessing alternative estimates of site index and mean annual increment in the absence of observations of the true values is presented and is illustrated through a quantitative evaluation of the alternative productivity estimates for young red pine plantations.

Yield Comparison of Three Douglas-Fir Plantations on Former Farmland in Western Washington

1990 ◽  
Vol 5 (4) ◽  
pp. 123-126
Author(s):  
Marshall D. Murray ◽  
Constance A. Harrington
Keyword(s):  
Pseudotsuga Menziesii ◽  
Nutrient Availability ◽  
Site Index ◽  
Douglas Fir ◽  
Annual Increment ◽  
Volume Yield ◽  
Western Washington ◽  
Natural Stands ◽  
Mean Annual Increment ◽  
Enhanced Yield

Abstract Yields of three Douglas-fir (Pseudotsuga menziesii) plantations on former farmland were substantially greater than DFSIM yields for the plantations based on site index estimates from adjacent natural stands. Volume yield per acre of trees 1.6 in. dbh and larger was 40 to 57% greater in the actual plantations than in the simulations. For trees 7.6 in. dbh and larger, volume yield of the actual plantations was 85 to 151% greater than the simulated yields. Mean annual increment of the actual plantations was 56 to 69% greater than the simulated values. In addition, top height was greater in two of the plantations than predicted. Running a second set of simulations with site index estimates based on plantation trees reduced the discrepancy in yields but still resulted in substantial underpredictions. Some possible reasons for enhanced yield of the plantations on former farmland are greater site uniformity, reduced vegetative competition, and increased nutrient availability. West. J. Appl. For. 5(4):00-00, October 1990.

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