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A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications

Creator:: Ver Hoef, Jay M. and Temesgen, Hailemariam
Abstract:: Forest surveys provide critical information for many diverse interests. Data are often collected from samples, and from these samples, maps of resources and estimates of aerial totals or averages are required. In this paper, two approaches for mapping and estimating totals; the spatial linear model (SLM) and k-NN (k-Nearest Neighbor)...
Resource Type:: Article
Full Text:: , Corvallis, Oregon, United States of America Abstract Forest surveys provide critical information for many

Accuracy and suitability of selected sampling methods within conifer dominated riparian zones

Creator:: Marquardt, Theresa, Temesgen, Hailemariam, and Anderson, Paul D.
Abstract:: Sixteen sampling alternatives were examined for their performance to quantify selected attributes of overstory conifers in riparian areas of western Oregon. Each alternative was examined at eight headwater forest locations based on a 0.52 ha square stem maps. The alternatives were evaluated for selected stand attributes (trees per hectare, basal...
Resource Type:: Article
Full Text:: - ides information about sources of spatial variationwithin riparian ones. Some sampling methods mainly

Estimating Current Forest Attributes from Paneled Inventory Data Using Plot-Level Imputation: A Study from the Pacific Northwest

Creator:: Eskelson, Bianca N.I., Temesgen, Hailemariam, and Barrett, Tara M.
Abstract:: Information on current forest condition is essential to assess and characterize resources and to support resource management and policy decisions. The 1998 Farm Bill mandates the US Forest Service to conduct annual inventories to provide annual updates of each state's forest. In annual inventories, the sample size of I year...
Resource Type:: Article
Full Text:: multispecies stands, for which detailed information in the form of tree lists is needed to describe the stand

Sources of Variation in the Self-Thinning Boundary Line for Three Species with Varying Levels of Shade Tolerance

Creator:: Weiskittel, Aaron, Gould, Peter, and Temesgen, Hailemariam
Abstract:: The species self-thinning boundary line has been widely analyzed with a variety of statistical techniques. Most previous studies in the forestry literature have reported that the relationship does not differ across a range of stand and site factors, but these studies have primarily used statistical techniques that make model fitting...
Resource Type:: Article
Full Text:: production and truncations at zero of the N(mit, 2u) distribution. Preliminary analysis showed no

Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska

Creator:: Andersen, Hans-Erik, Strunk, Jacob, and Temesgen, Hailemariam
Abstract:: Airborne laser scanning, collected in a sampling mode, has the potential to be a valuable tool for estimating the biomass resources available to support bioenergy production in rural communities of interior Alaska. In this study, we present a methodology for estimating forest biomass over a 201,226-ha area (of which 163,913...
Resource Type:: Article
Full Text:: , equivalent to 1.32 billion liters of no. 2 diesel fuel, or 12 times the amount of diesel fuel currently

Teaching in Contemporary Forest Resources Curricula: Applications to Courses in Forest Measurements and Biometrics

Creator:: Temesgen, Hailemariam, Eskelson, Bianca N. I., Maness, Thomas C., Adams, Darius M., and Burkhart, Harold E.
Abstract:: Foresters face new and evolving challenges as society reconsiders the balance of its interests between wood production and the provision of ecosystem services in the management of forests. Whatever paths this process may take, sound and broad-based decisions will continue to require accurate and relevant measurements of current forest conditions...
Resource Type:: Article
Full Text:: , FMB in turn is constantly evolving to insure the relevance of the information Teaching in

A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments

Creator:: Weiskittel, Aaron R., MacFarlane, David W., Radtke, Philip J., Affleck, David L.R., Temesgen, Hailemariam, Woodall, Christopher W., Westfall, James A., and Coulston, John W.
Abstract:: Tree biomass is typically estimated using statistical models. This review highlights five limitations of most tree biomass models, which include the following: (1) biomass data are costly to collect and alternative sampling methods are used; (2) belowground data and models are generally lacking; (3) models are often developed from small...
Resource Type:: Article
Full Text:: scenarios where they may not be well suited. Better information should lead to more credible applications of

Estimating Riparian Understory Vegetation Cover with Beta Regression and Copula Models

Creator:: Eskelson, Bianca N.I., Madsen, Lisa, Hagar, Joan C., and Temesgen, Hailemariam
Abstract:: Understory vegetation communities are critical components of forest ecosystems. As a result, the importance of modeling understory vegetation characteristics in forested landscapes has become more apparent. Abundance measures such as shrub cover are bounded between 0 and 1, exhibit heteroscedastic error variance, and are often subject to spatial dependence. These...
Resource Type:: Article
Full Text:: details, see Cissel et al. 2006) as part of a larger study (see Marquardt Table 1. General information on

Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

Creator:: Andersen, Hans-Erik, Strunk, Jacob, Temesgen, Hailemariam, Atwood, Donald, and Winterberger, Ken
Abstract:: The emergence of a new generation of remote sensing and geopositioning technologies, as well as increased capabilities in image processing, computing, and inferential techniques, have enabled the development and implementation of increasingly efficient and cost-effective multilevel sampling designs for forest inventory. In this paper, we (i) describe the conceptual basis...
Resource Type:: Article
Full Text:: increasing demand for more accurate and extensive information on the availability of forest biomass

A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes

Creator:: Eskelson, B. N. I., Temesgen, Hailemariam, and Hagar, J. C.
Abstract:: Snags (standing dead trees) are an essential structural component of forests. Because wildlife use of snags depends on size and decay stage, snag density estimation without any information about snag quality attributes is of little value for wildlife management decision makers. Little work has been done to develop models that...
Resource Type:: Article
Full Text:: and decay stage, snag density estimation without any information about snag quality attributes is of

ScholarsArchive@OSU

A Comparison of the Spatial Linear Model to Nearest Neighbor (k-NN) Methods for Forestry Applications

Accuracy and suitability of selected sampling methods within conifer dominated riparian zones

Estimating Current Forest Attributes from Paneled Inventory Data Using Plot-Level Imputation: A Study from the Pacific Northwest

Sources of Variation in the Self-Thinning Boundary Line for Three Species with Varying Levels of Shade Tolerance

Using Airborne Light Detection and Ranging as a Sampling Tool for Estimating Forest Biomass Resources in the Upper Tanana Valley of Interior Alaska

Teaching in Contemporary Forest Resources Curricula: Applications to Courses in Forest Measurements and Biometrics

A Call to Improve Methods for Estimating Tree Biomass for Regional and National Assessments

Estimating Riparian Understory Vegetation Cover with Beta Regression and Copula Models

Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes

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