Treesearch - scientific articles written or published by the U.S. Forest Service

Show/Hide Search Form

Keywords (All fields) or Title:

Last Name of Author:

Date Range:

FS Series:

Subscribe to R&D Publications recently added to Treesearch - RSS feed More RSS options

Displaying 1 - 20 of 68

Pages

Records Per Page:

Sort By:

Effects of stand density on top height estimation for ponderosa pine

Site index, estimated as a function of dominant-tree height and age, is often used as an expression of site quality. This expression is assumed to be effectively independent of stand density. Observation of dominant height at two different ponderosa pine levels-of-growing-stock studies revealed that top height stability with respect to stand density depends on the...

https://www.fs.usda.gov/treesearch/search?keywords=%22estimation%22&%3Bamp%3Bf%5B0%5D=author_facet%3A%22Calkin%2C%20Dave%22&%3Bf%5B0%5D=author_facet%3A%22Mueller%2C%20Brendt%22&f%5B0%5D=author_facet%3A%22Dixon%2C%20Ernest%22&f%5B1%5D=author_facet%3A%22Pugh%2C%20Scott%22&f%5B2%5D=author_facet%3A%22Ritchie%2C%20Martin%22&f%5B3%5D=author_facet%3A%22Parks%2C%20Catherine%22&f%5B4%5D=author_facet%3A%22Ross%2C%20Robert%22&f%5B5%5D=author_facet%3A%22Butler%2C%20Sarah%22

Author(s):

Martin Ritchie; Jianwei Zhang; Todd Hamilton

Year:

2012

Keywords:

site index, growth and yield, dominant height

Source:

West. J. Appl. For. 27(1): 18-24

Michigan's forest resources, 2006

Figure 2 was revised by the author on August 20, 2008. This publication provides an overview of forest resource attributes for Michigan based on an annual inventory conducted by the Forest Inventory and Analysis program at the Northern Research Station of the U.S. Forest Service. These annual estimates, along with web-posted core tables, will be updated annually. Note...

Author(s):

S.A. Pugh

Year:

2007

Keywords:

Source:

Res. Note. NRS-6. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Allometric equations for estimating aboveground biomass for common shrubs in northeastern California

Selected allometric equations and fitting strategies were evaluated for their predictive abilities for estimating above ground biomass for seven species of shrubs common to northeastern California. Size classes for woody biomass were categorized as 1-h fuels (0.1?0.6 cm), 10-h fuels (0.6?2.5 cm), 100-h fuels (2.5?7.6 cm), and 1000-h fuels (greater than 7.7 cm in...

Author(s):

Steve Huff; Martin Ritchie; H. Temesgen

Year:

2017

Keywords:

Source:

Forest Ecology and Management. 398: 48-63

Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR

Accurate estimates of growth and structural changes are key for forest management tasks such as determination of optimal rotation times, optimal rotation times, site indices and for identifying areas experiencing difficulties to regenerate. Estimation of structural changes, especially for biomass, is also key to quantify greenhouse gas (GHG) emissions/sequestration. We...

Author(s):

Francisco Mauro; Martin Ritchie; Brian Wing; Bryce Frank; Vicente Monleon; Hailemariam Temesgen; Andrew Hudak

Year:

2019

Keywords:

forest structure change, EBLUP, small area estimation, multitemporal LiDAR and stand-level estimates

Source:

Remote Sensing. 11: 923.

Michigan's Forest Resources, 2007

This publication provides an overview of forest resource attributes for Michigan based on an annual inventory (2003-2007) conducted by the Forest Inventory and Analysis (FIA) program of the Northern Research Station, U.S. Forest Service. These estimates, along with web-posted core tables, are updated annually. For more information please refer to page 4 of this report...

Author(s):

S.A. Pugh

Year:

2008

Keywords:

Source:

Res. Note. NRS-28. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of North Dakota, 2014

This resource update provides an overview of forest resources in North Dakota based on an inventory conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program at the Northern Research Station in cooperation with the North Dakota Forest Service. Estimates are based on field data collected using the FIA annualized sample design and are updated...

Author(s):

D.E. Haugen; S.A. Pugh

Year:

2014

Keywords:

Source:

Resource Update FS-33. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of Michigan, 2014

This resource update provides an overview of forest resources in Michigan based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly.* The annual inventory started in 1999. For the 2014...

Author(s):

Scott A. Pugh

Year:

2015

Keywords:

Source:

Resource Update FS-35. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of Michigan, 2015

This resource update provides an overview of forest resources in Michigan based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly. The annual inventory started in 1999. For the 2015...

Author(s):

Scott A. Pugh; Charles Paulson; Brett J. Butler

Year:

2016

Keywords:

Source:

Resource Update FS-79. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of Michigan, 2016

This resource update provides an overview of forest resources in Michigan based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly. The annual inventory started in 1999. For the 2016...

Author(s):

Charles Paulson; Scott A. Pugh

Year:

2017

Keywords:

Source:

Resource Update FS-113. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of Michigan, 2017

This resource update provides an overview of forest resources in Michigan based on inventories conducted by the USDA Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Estimates are based on field data collected using the FIA annualized sample design and are updated yearly. The annual inventory started in 1999. For the 2017...

Author(s):

Scott A. Pugh

Year:

2018

Keywords:

Source:

Resource Update FS-153. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Individual snag detection using neighborhood attribute filtered airborne lidar data

The ability to estimate and monitor standing dead trees (snags) has been difficult due to their irregular and sparse distribution, often requiring intensive sampling methods to obtain statistically significant estimates. This study presents a new method for estimating and monitoring snags using neighborhood attribute filtered airborne discrete-return lidar data. The...

Author(s):

Brian M. Wing; Martin W. Ritchie; Kevin Boston; Warren B. Cohen; Michael J. Olsen

Year:

2015

Keywords:

Snags, Snag detection, Snag density, Neighborhood attribute lidar filtering, Lidar filtering, Forestry

Source:

Remote Sensing of Environment. 163: 165-179

Screw withdrawal : a means to evaluate densities of in-situ wood members

Dynamic modulus of elasticity (MOE) of a wood member is defined as the product of its density and square of stress wave speed. The dynamic MOE, which is highly correlated to the static MOE, is commonly used to estimate the load carrying capacity and serviceability of in-situ wood members. The stress wave speed can be estimated using ultrasonic, impact, or vibration...

Author(s):

Zhiyong Cai; Michael O. Hunt; Robert J. Ross; Lawrence A. Soltis

Year:

2003

Keywords:

Screw withdrawal, modulus of elasticity, wood density, nondestructive testing

Source:

Proceedings of the 13th International Symposium on Nondestructive Testing of Wood : August 19-21, 2002, University of California, Berkeley Campus California, USA. Madison, WI : Forest Products Society, 2003: Pages 277-281

RPA Data Wiz users guide, version 1.0

RPA Data Wiz is a computer application use to create summary tables, graphs, and maps of Resource Planning Act (RPA) Assessment forest information (English or metric units). Volumes for growing stock, live cull, dead salvable, netgrowth, and mortality can be estimated. Acreage, biomass, and tree count estimates are also available.

Author(s):

Scott A. Pugh

Year:

2004

Keywords:

RPA, assessment, forest, inventory, GIS, maps, metric, database.

Source:

Gen. Tech. Rep. NC-242. St. Paul, MN:U.S. Department of Agriculture, Forest Service, North Central Research Station. 126 p.

Linking log quality with product performance

In the United States, log grading procedures use visual assessment of defects, in relation to the log scaling diameter, to estimate the yield of lumber that maybe expected from the log. This procedure was satisfactory when structural grades were based only on defect size and location. In recent years, however, structural products have increasingly been graded using a...

Author(s):

D. W. Green; Robert Ross

Year:

1997

Keywords:

Log grade, longitudinal stress wave, modulus of elasticity, lumber, spruce, balsam fir, Douglas-fir, western hemlock, Southern Pine.

Source:

Role of wood production in ecosystem management : proceedings of the Sustainable Forestry Working Group at the IUFRO All Division 5 Conference, Pullman, Washington, July 1997. Madison, Wis. : USDA Forest Service, Forest Products Laboratory, 1997. General technical report FPL ; GTR-100.:p. 53-58.

Site productivity - current estimates, change, and possible enhancements for the Northern Research Station

Site productivity (SP) is the inherent capacity to grow crops of industrial wood. SP identifies the potential growth in cubic feet/acre/year and is based on the culmination of mean annual increment of fully stocked natural stands. Changes in SP were summarized for timberland and the associated effects on net growth and removal estimates were investigated using data...

Author(s):

Scott A. Pugh

Year:

2012

Keywords:

statistics, estimation, sampling, modeling, remote sensing, forest health, data integrity, environmental monitoring, cover estimation, international forest monitoring

Source:

In: Morin, Randall S.; Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4-6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 123-128.

Conducting tests for statistically significant differences using forest inventory data

Many forest inventory and monitoring programs are based on a sample of ground plots from which estimates of forest resources are derived. In addition to evaluating metrics such as number of trees or amount of cubic wood volume, it is often desirable to make comparisons between resource attributes. To properly conduct statistical tests for differences, it is imperative...

Author(s):

James A. Westfall; Scott A. Pugh; John W. Coulston

Year:

2013

Keywords:

covariance, confidence interval, sampling design, hypothesis test, change estimation

Source:

Res. Pap. NRS-22. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 10 p.

Estimation of crown cover in interior ponderosa pine stands: Effects of thinning and prescribed fire

We evaluated the relationship between crown cover measured with a vertical sight tube and stand basal area per acre in treated (thinned, burned, and thinned and burned) and untreated interior ponderosa pine (Pinus ponderosa P. & C. Lawson) stands in northeastern California. Crown cover was significantly related to basal area at the plot level and...

Author(s):

Nicholas Vaughn; Martin W. Ritchie

Year:

2005

Keywords:

Sight tube, basal area, white fir

Source:

Western journal of applied forestry. 20: 240-246

Forests of Delaware, 2013

This publication provides an overview of forest resources in Delaware based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2004, FIA has employed an annual inventory measuring data...

Author(s):

T.W. Lister; S.A. Pugh

Year:

2014

Keywords:

Source:

Resource Update FS-23. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of Maryland, 2013

This publication provides an overview of forest resources in Maryland based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Information about the national and regional FIA program is available online at http://fia.fs.fed.us. Since 2004, FIA has employed an annual inventory measuring data...

Author(s):

T.W. Lister; S.A. Pugh

Year:

2014

Keywords:

Source:

Resource Update FS-24. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Forests of New Hampshire, 2013

This publication provides an overview of forest resources in New Hampshire based on inventories conducted by the U.S. Forest Service, Forest Inventory and Analysis (FIA) program of the Northern Research Station. Since 1999, FIA has employed an annual inventory measuring data on a nominal 20 percent of sample plots each year. For the 2013 inventory, estimates for...

Author(s):

Randall S. Morin; Scott A. Pugh

Year:

2014

Keywords:

Source:

Resource Update FS-29. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 4 p.

Pages

Total Publications in Treesearch: 53,194