scholarly journals HRF - Timber Inventory 1996

2019 ◽  
Author(s):  
Keyword(s):  
Timber Inventory

scholarly journals Timber Inventory of Large Acreages Using Stratified Two-Stage List Sampling

2005 ◽  
Vol 29 (3) ◽  
pp. 152-157 ◽  
Author(s):  
Bruce E. Borders ◽  
Barry D. Shiver ◽  
Michael L. Clutter
Keyword(s):  
Forest Inventory ◽  
Sampling Method ◽  
Sampling Effort ◽  
Field Sampling ◽  
Two Stage ◽  
Timber Inventory

Abstract We present two-stage list sampling estimators and methodology that are useful in a forest inventory context. The advantages of this sampling method are discussed and illustrated with an inventory of a 3,419-acre timber tract. In this example, two-stage list sampling resulted in strata level and tract level estimates that were very close to estimates from a more intensive cruise that used twice as much field sampling effort. South. J. Appl. For. 29(3):152–157.

Error assessment for a provincial timber inventory

1995 ◽  
Vol 71 (5) ◽  
pp. 627-632 ◽  
Author(s):  
János Gál ◽  
Imre E. Bella
Keyword(s):  
Computer Simulation ◽  
Simulation Experiment ◽  
Sampling Error ◽  
Measurement Bias ◽  
Error Assessment ◽  
Volume Estimate ◽  
Computer Simulation Experiment ◽  
Volume Estimates ◽  
Timber Inventory

In this case study of the Saskatchewan provincial timber inventory, the major sources of errors were identified and suitable procedures presented for their estimation. Applying those procedures on a pilot area, the results showed that sampling error was by far the most important component affecting the accuracy of volume estimates. Variances arising from the use of taper functions to estimate tree volumes were under 0.05%, and variances from 3P subsampling were about 3% of the total variance. A computer simulation experiment showed that a 2% measurement bias in both diameter and height measurements may result in 8% bias in the volume estimate. Key words: 3P sampling, taper functions, error budget

Public Policies, Private Resources, and the Future of the Douglas-Fir Region Forest Economy

1990 ◽  
Vol 5 (3) ◽  
pp. 64-69 ◽  
Author(s):  
Darius M. Adams ◽  
Richard W. Haynes
Keyword(s):  
Public Policies ◽  
Douglas Fir ◽  
Private Lands ◽  
The Future ◽  
Stumpage Price ◽  
Price Growth ◽  
Timber Inventory

Abstract Projections of the Douglas-fir region forest economy indicate: (1) industrial harvest will decline over the next 20 years, in the range of 8 to 14% relative to current levels depending on the extent of reductions in public cut, but will rise in subsequent decades to near current levels; (2) nonindustrial lands can maintain present or higher levels with little reduction in timber inventory; (3) any private offset to a public harvest reduction will be modest and short-lived, and as a result large changes in public harvest will have significant impacts on the region's economy; (4) management intensification on private lands would have little impact on harvest potential in the next 3 decades; (5) minimum real stumpage price growth over the next 2 decades would be roughly 2.5% per year assuming no change in public harvest. West. J. Appl. For. 5(3):64-69, July 1990.

The value of timber inventory information for management planning

2008 ◽  
Vol 38 (8) ◽  
pp. 2287-2294 ◽  
Author(s):  
B. E. Borders ◽  
W. M. Harrison ◽  
M. L. Clutter ◽  
B. D. Shiver ◽  
R. A. Souter
Keyword(s):  
United States ◽  
Net Present Value ◽  
Sampling Error ◽  
Management Plan ◽  
Southern United States ◽  
Inventory Data ◽  
Timber Management ◽  
Level Data ◽  
Management Plans ◽  
Timber Inventory

Timber inventory data is the basis for many monetary transactions related to timber and timberland sale and (or) purchase as well as for development of timber management plans. The value of such data is well known and much appreciated for sale and (or) purchase of standing merchantable timber. Unfortunately, the value of timber inventory data for planning purposes is less well understood. We report on the results of a large simulation study that was undertaken to evaluate the utility and value of timber inventory data for timber management plan development for a typical timberland ownership in the southern United States. Our results indicate that timberland managers are likely producing management plans that do not maximize the profitability of their timberland holdings. Specifically, our results indicate it is likely that timber management organizations that develop timber management plans with stand level data that has a sampling error of 25% are experiencing expected losses in net present value in excess of 170 US$·ha–1 on a large proportion of the acreage found on typical timberland parcels in the southern United States.

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