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.

Mapping and imputing potential productivity of Pacific Northwest forests using climate variables

2009 ◽  
Vol 39 (6) ◽  
pp. 1197-1207 ◽  
Author(s):  
Gregory Latta ◽  
Hailemariam Temesgen ◽  
Tara M. Barrett
Keyword(s):  
Pacific Northwest ◽  
Forest Productivity ◽  
Forest Growth ◽  
Coefficient Of Determination ◽  
Moisture Index ◽  
Annual Increment ◽  
Data Set ◽  
Potential Productivity ◽  
Spatial Autoregressive ◽  
Mean Annual Increment

Regional estimation of potential forest productivity is important to diverse applications, including biofuels supply, carbon sequestration, and projections of forest growth. Using PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate and productivity data measured on a grid of 3356 Forest Inventory and Analysis plots in Oregon and Washington, we evaluated four possible imputation methods to estimate potential forest productivity: nearest neighbour, multiple linear regression, thin plate spline functions, and a spatial autoregressive model. Productivity, measured by potential mean annual increment at culmination, is explained by the interaction of annual temperature, precipitation, and climate moisture index. The data were randomly divided into 2237 reference plots and 1119 target plots 30 times. Each imputation method was evaluated by calculating the coefficient of determination, bias, and root mean square error of both the target and reference data set and was also tested for evidence of spatial autocorrelation. Potential forest productivity maps of culmination potential mean annual increment were produced for all Oregon and Washington timberland.

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 Using Continuous Forest Inventory Data for Control of Wood Production and Use in Large Areas: A Case Study in Lithuania

Forests ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1039
Author(s):  
Andrius Kuliešis ◽  
Albertas Kasperavičius ◽  
Gintaras Kulbokas ◽  
Andrius A. Kuliešis ◽  
Aidas Pivoriūnas ◽  
...  
Keyword(s):  
Forest Management ◽  
Forest Inventory ◽  
National Forest Inventory ◽  
Forest Growth ◽  
Forest Stands ◽  
Annual Increment ◽  
Permanent Sample Plots ◽  
Growing Stock ◽  
Country Level ◽  
Forest Use

Background and Objectives: Significant progress in developing European national forest inventory (NFI) systems could ensure accurate evaluations of gross annual increment (GAI) and its components by employing direct measurements. However, the use of NFI data is insufficient for increasing the efficiency of forest management and the use of wood, as well as for meeting sustainable forestry needs. Specification of forest characteristics, such as GAI and its components, identification of the main factors that impact forest growth, accumulation of wood, and natural losses are among the key elements promoting the productivity of forest stands and possibilities of rational use of wood in large forest areas. The aims of this research were (a) to validate the quality of forest statistics provided by a standwise forest inventory (SFI) and (b) to reveal the potential benefits of rational wood use at the country level through the analysis of forest management results, which are based on GAI, including its components derived from the NFI. Materials and Methods: SFI and NFI data from 1998–2017 were collected from 5600 permanent sample plots and used to evaluate the main forest characteristics. Potential wood use was estimated based on the assumption that 50–70% of the total GAI is accumulated for final forest use. Results: Mean growing stock volume (GSV) is underestimated by 7–14% on average in the course of SFI. Therefore, continuous monitoring of the yield changes in forest stands, detection of factors negatively affecting yield and its accumulation, and regulation of these processes by silviculture measures could increase potential forest use in Lithuania. Conclusions: Implementation of sample-based NFI resulted in an improvement of forest characteristics and led to an increase in GSV and GAI. Continuously gathered data on GAI and its components are a prerequisite for efficient forest management and control of the use of wood.

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.

scholarly journals A TEST OF THE EFFECTIVENESS OF AIR PHOTO STRATIFICATION

1961 ◽  
Vol 37 (4) ◽  
pp. 350-355 ◽  
Author(s):  
R. H. Kendall ◽  
L. Sayn-Wittgenstein
Keyword(s):  
Forest Type ◽  
Annual Increment ◽  
Canopy Density ◽  
Cover Type ◽  
Experiment Station ◽  
Forest Experiment Station ◽  
Air Photo ◽  
Mean Annual Increment

A test of the efficiency of different systems of air photo stratification was conducted for an area near the Petawawa Forest Experiment Station. While stratification, particularly by cover type, height and canopy density, increased the precision of the estimated total volume and mean annual increment, this increase was not as large as had been hoped for. The main value of air photo stratification may lie in providing a forest type map for management purposes.There is no intention to generalize from the results obtained. They are valid only for the particular forest where the test was carried out.

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.

Variation in forest inventory field measurements

1994 ◽  
Vol 24 (9) ◽  
pp. 1766-1770 ◽  
Author(s):  
Ronald E. McRoberts ◽  
Jerold T. Hahn ◽  
Glenda J. Hefty ◽  
Jerry R. Van Cleve
Keyword(s):  
Forest Inventory ◽  
Basal Area ◽  
Field Measurements ◽  
Site Index ◽  
Upper Peninsula ◽  
The North ◽  
Basal Area Growth ◽  
Coefficients Of Variation ◽  
Area Growth ◽  
Forest Experiment Station

Field crews from the North Central Forest Experiment Station independently measured two forest inventory plots in Michigan's Upper Peninsula; one plot was measured by eight crews and the other was measured by nine different crews. For 61 trees, the variation in measurements of diameter at breast height (DBH), crown ratio, and site index is described. For DBH, the distribution of field crew mistakes and the distribution of measurements without mistakes are described separately. For crown ratio, the distribution of differences between individual estimates and the most frequently occurring estimate for corresponding trees is described. For site index, the distribution of differences between individual estimates and the mean of plot estimates is described. Coefficients of variation were less than 5% for DBH, approximately 73% for crown ratio, and 13% and 16% for site index for the two plots. The effects of variation in measurements on 20-year predictions of basal area and cumulative basal area growth were estimated for the two plots using STEMS, TWIGS, and Monte Carlo simulations. Coefficients of variation were 2% and 3% for basal area and 7% and 9% for cumulative basal area growth for the two plots. Variation in site index estimates had the greatest effect on variation in the output variables.

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