Cubic and Board Foot Volume Models for the Central States

Hahn, Jerold T.; Hansen, Mark

doi:10.1093/njaf/8.2.47

Cited by 34 publications

(23 citation statements)

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“…The Lake States model is used in Michigan, Minnesota, and Wisconsin (Hahn 1984). The Plains States model is used in Kansas, Nebraska, North Dakota, and South Dakota (Hahn and Hansen 1991). The Central States model is used in Illinois, Indiana, Iowa, and Missouri (Hahn and Hansen 1991).…”

Section: Data and Volume Modelsmentioning

confidence: 99%

“…The Plains States model is used in Kansas, Nebraska, North Dakota, and South Dakota (Hahn and Hansen 1991). The Central States model is used in Illinois, Indiana, Iowa, and Missouri (Hahn and Hansen 1991). The Northeast States model is used in Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Ohio, Pennsylvania, Rhode Island, Vermont, and West Virginia (Scott 1981).…”

Section: Data and Volume Modelsmentioning

confidence: 99%

“…Models are used to predict volume and biomass estimates of individual-tree volumes. Hahn (1984), Hahn and Hansen (1991), and Scott (1981) address estimates of prediction errors associated with the volume models for NRS-FIA. Change estimates such as growth, mortality, and removals are based on these model-based predictions of volume from both the current plot measurements and the measurements taken in the previous inventory.…”

Section: Prediction Errormentioning

confidence: 99%

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Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program

Gormanson¹,

Pugh²,

Barnett³

et al. 2018

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The U.S. Forest Service Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. FIA's primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nation's forest land through a comprehensive inventory and analysis of the Nation's forest resources. The FIA program strives for transparency by making the methods and results of the inventory and analysis available to the public. The standard for distributing FIA data is the FIADatabase (FIADB). FIADB data for individual states can be downloaded from the FIA DataMart at https://www. fia.fs.fed.us/tools-data/. This report complements the Northern Research Station's FIA 5-year state reports and includes detailed information on forest inventory methods, important resource statistics, quality of estimates, and key references.

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Section: Data and Volume Modelsmentioning

confidence: 99%

Section: Data and Volume Modelsmentioning

confidence: 99%

Section: Prediction Errormentioning

confidence: 99%

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Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program

Gormanson¹,

Pugh²,

Barnett³

et al. 2018

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“…Estimates of volume per acre were multiplied by the area estimates to obtain estimates of total volume. Net cubic foot volumes were based on Hahn and Hansen (1991) for use in the Central States. For the Indiana inventory, the merchantable height equation presented in Hahn and Hansen (1991) was used in conjunction with Stone's equation (see Appendix I in Hahn and Hansen 1991) to estimate gross volume.…”

Section: Volumementioning

confidence: 99%

Indiana's Forests in 1998.

Schmidt¹,

Hansen²,

Solomakos³

2000

Self Cite

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“…105-107) and Clutter et al (1983, pp. 12-13), and the acknowledgement of this practice in Bonnor (1974) and Hahn & Hansen (1991). The statistical consequences of this practice on the accuracy of bole volume prediction appears not to have been studied in particular detail.…”

Section: Introductionmentioning

confidence: 99%

Identifying and Evaluating the Components of Non-Measurement Error in the Application of Standard Volume Equations

Grégoire¹,

Williams²

1992

The Statistician

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We consider the prediction of stem volume of a tree by means of simple linear regression wherein the explanatory variable is D2H; D is the bole diameter measured outside bark at breast height and H is the total height of the tree. Given a fitted equation, a tree whose volume is to be predicted must be measured for D and H. Two sources of error account for the deviation of predicted tree volume from V, the actual tree volume, i.e. (1) error in the estimated coefficients of the volume function and (2) variation of V around its expected value conditional upon D2H. Owing to the greater difficulty and expense of measuring H in forest conditions, a standard practice is to predict its value from a regression on diameter. Consequently the prediction of V, V say, is subject to additional sources of error due to (1) the error in the estimated coefficients of the height‐diameter function and (2) the variation of H around its expected value conditional on D. An empirical study of a population of more than 14000 loblolly pine trees was undertaken with the objective of quantifying the average proportion of overall prediction error which was due to these components. The exact mean square error of the vector of predicted volume, V, is also derived.

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Cubic and Board Foot Volume Models for the Central States

Cited by 34 publications

References 1 publication

Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program

Statistics and quality assurance for the Northern Research Station Forest Inventory and Analysis Program

Indiana's Forests in 1998.

Identifying and Evaluating the Components of Non-Measurement Error in the Application of Standard Volume Equations

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