Index Catalog // ScholarsArchive@OSU

Creator:: Shettles, Michael, Hilker, Thomas, and Temesgen, Hailemariam
Abstract:: In estimating aboveground forest biomass (AGB), three sources of error that interact and propagate include (i) measurement error, the quality of the tree-level measurement data used as inputs for the individual-tree equations; (ii) model error, the uncertainty about the equations of the individual trees; and (iii) sampling error, the uncertainty...
Resource Type:: Article

Creator:: Poudel, Krishna P. and Temesgen, Hailemariam
Abstract:: Biomass estimates are required for reporting carbon, assessing feedstock availability, and assessing forest fire threat. We developed diameter- and height-based biomass equations for Western hemlock (Tsuga heterophylla (Raf.) Sarg.) and red alder (Alnus rubra Bong.) trees in Western Oregon. A system of component biomass equations was fitted simultaneously with a...
Resource Type:: Article

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

Creator:: Temesgen, Hailemariam, Affleck, David, Poudel, Krishna, Gray, Andrew, and Sessions, John
Abstract:: Accurate biomass measurements and analyses are critical components in quantifying carbon stocks and sequestration rates, assessing potential impacts due to climate change, locating bio-energy processing plants, and mapping and planning fuel treatments. To this end, biomass equations will remain a key component of future carbon measurements and estimation. As researchers...
Resource Type:: Article

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

Creator:: Gagliasso, Donald, Hummel, Susan, and Temesgen, Hailemariam
Abstract:: Various methods have been used to estimate the amount of above ground forest biomass across landscapes and to create biomass maps for specific stands or pixels across ownership or project areas. Without an accurate estimation method, land managers might end up with incorrect biomass estimate maps, which could lead them...
Resource Type:: Article

Creator:: Temesgen, Hailemariam and Hoef, Jay M. Ver
Abstract:: Increasingly, forest management and conservation plans require spatially explicit information within a management or conservation unit. Forest biomass and potential productivity are critical variables for forest planning and assessment in the Pacific Northwest. Their values are often estimated from ground-measured sample data. For unsampled locations, forest analysts and planners lack...
Resource Type:: Article

Creator:: Strunk, Jacob L., Temesgen, Hailemariam, Andersen, Hans-Erik, and Packalen, Petteri
Abstract:: In this study we demonstrate that sample strips of lidar in combination with Landsat can be used to predict forest attributes more precisely than from Landsat alone. While lidar and Landsat can each be used alone in vegetation mapping, the cost of wall to wall lidar may exceed users' financial...
Resource Type:: Article

Creator:: Goerndt, Michael E., Monleon, Vicente J., and Temesgen, Hailemariam
Abstract:: Small-area estimation (SAE) is a concept that has considerable potential for precise estimation of forest ecosystem attributes in partitioned forest populations. In this study, several estimators were compared as SAE techniques for 12 counties in the northern Oregon Coast range. The estimators that were compared consisted of three indirect estimators,...
Resource Type:: Article

Creator:: Latta, Gregory, Temesgen, Hailemariam, Adams, Darius M., and Barrett, Tara
Abstract:: As global climate changes over the next century, forest productivity is expected to change as well. Using PRISM climate and productivity data measured on a grid of 3356 plots, we developed a simultaneous autoregressive (SAR) model to estimate the impacts of climate change on potential productivity of Pacific Northwest (PNW)...
Resource Type:: Article

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