Index Catalog // ScholarsArchive@OSU

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:: Regression and Copula Models Bianca N. I. Eskelson, Lisa Madsen, Joan C. Hagar, and Hailemariam Temesgen

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:: Data Using Plot-Level Imputation: A Study from the Pacific Northwest Bianca N.I. Eskelson, Hailemariam

Estimating cavity tree and snag abundance using negative binomial regression models and nearest neighbor imputation methods

Creator:: Eskelson, Bianca N.I., Temesgen, Hailemariam, and Barrett, Tara M.
Abstract:: Cavity tree and snag abundance data are highly variable and contain many zero observations. We predict cavity tree and snag abundance from variables that are readily available from forest cover maps or remotely sensed data using negative binomial (NB), zero-inflated NB, and zero-altered NB (ZANB) regression models as well as...
Resource Type:: Article
Full Text:: using negative binomial regression models and nearest neighbor imputation methods Bianca N.I. Eskelson

Imputing Mean Annual Change to Estimate Current Forest Attributes

Creator:: Eskelson, Bianca N.I., Barrett, Tara M., and Temesgen, Hailemariam
Abstract:: When a temporal trend in forest conditions is present, standard estimates from paneled forest inventories can be biased. Thus methods that use more recent remote sensing data to improve estimates are desired. Paneled inventory data from national forests in Oregon and Washington, U.S.A., were used to explore three nearest neighbor...
Resource Type:: Article
Full Text:: Mean Annual Change to Estimate Current Forest Attributes Bianca N. I. Eskelson, Tara M. Barrett and

Host–parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska

Creator:: Barrett, Tara M., Latta, Greg, Hennon, Paul E., Eskelson, Bianca N.I., and Temesgen, Hailemariam
Abstract:: Dwarf mistletoes (Arceuthobium species) influence many processes within forested ecosystems, but few studies have examined their distribution in relation to climate. An analysis of 1549 forested plots within a 14.5 million ha region of southeast Alaska provided strong indications that climate currently limits hemlock dwarf mistletoe (Arceuthobium tsugense (Rosendahl) G.N....
Resource Type:: Article
Full Text:: E. Hennon, Bianca N.I. Eskelson, and Hailemariam Temesgen Abstract: Dwarf mistletoes (Arceuthobium

Host–parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska

Creator:: Barrett, Tara M., Latta, Greg, Hennon, Paul E., Eskelson, Bianca N.I., and Temesgen, Hailemariam
Abstract:: Dwarf mistletoes (Arceuthobium species) influence many processes within forested ecosystems, but few studies have examined their distribution in relation to climate. An analysis of 1549 forested plots within a 14.5 million ha region of southeast Alaska provided strong indications that climate currently limits hemlock dwarf mistletoe (Arceuthobium tsugense (Rosendahl) G.N....
Resource Type:: Article
Full Text:: heterophylla and Arceuthobium tsugense in Alaska Tara M. Barrett, Greg Latta, Paul E. Hennon, Bianca N.I

Geostatistical modeling of riparian forest microclimate and its implications for sampling

Creator:: Eskelson, Bianca N.I., Anderson, Paul D., Hagar, Joan C., and Temesgen, Hailemariam
Abstract:: Les modèles de prédiction du microclimat pour différentes conditions de station dans les zones riveraines boisées des cours d’eau de tête de bassin sont peu développés et les procédures d’échantillonnage pour caractériser les gradients sous-jacents du microclimat riverain sont rares. Nous avons utilisé des données de microclimat riverain collectées le...
Resource Type:: Article
Full Text:: forest microclimate and its implications for sampling Bianca N.I. Eskelson, Paul. D. Anderson, Joan C

The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

Creator:: Eskelson, Bianca N.I., Temesgen, Hailemariam, Lemay, Valerie, Barrett, Tara M., Crookston, Nicholas L., and Hudak, Andrew T.
Abstract:: Almost universally, forest inventory and monitoring databases are incomplete, ranging from missing data for only a few records and a few variables, common for small land areas, to missing data for many observations and many variables, common for large land areas. For a wide variety of applications, nearest neighbor (NN)...
Resource Type:: Article
Full Text:: databases BIANCA N. I. ESKELSON1, HAILEMARIAM TEMESGEN1, VALERIE LEMAY2, TARA M. BARRETT3, NICHOLAS L

Modeling Relative Humidity in Headwater Forests Using Correlation with Air Temperature

Creator:: Eskelson, Bianca N. I., Anderson, Paul D., and Temesgen, Hailemariam
Abstract:: Microclimate variables such as air temperature and relative humidity influence habitat conditions and ecological processes in riparian forests. The increased relative humidity levels within riparian areas are essential for many plant and wildlife species. Information about relative humidity patterns within riparian areas and adjacent uplands are necessary for the prescription...
Resource Type:: Article
Full Text:: 40 Bianca N. I. Eskelson1, Department of Forest Engineering

Evaluation of sampling methods to quantify abundance of hardwoods and snags within conifer-dominated riparian zones

Creator:: Marquardt, Theresa, Temesgen, Hailemariam, Anderson, Paul D., and Eskelson, Bianca
Abstract:: • Aims: Six sampling alternatives were examined for their ability to quantify selected attributes of snags and hardwoods in conifer-dominated riparian areas of managed headwater forests in western Oregon. • Methods: Each alternative was simulated 500 times at eight headwater forest locations based on a 0.52-ha square stem map. The...
Resource Type:: Article
Full Text:: Temesgen & Paul D. Anderson & Bianca Eskelson Received: 2 October 2011 /Accepted: 18 March 2012 /Published

ScholarsArchive@OSU

Estimating Riparian Understory Vegetation Cover with Beta Regression and Copula Models

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

Estimating cavity tree and snag abundance using negative binomial regression models and nearest neighbor imputation methods

Imputing Mean Annual Change to Estimate Current Forest Attributes

Host–parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska

Host–parasite distributions under changing climate: Tsuga heterophylla and Arceuthobium tsugense in Alaska

Geostatistical modeling of riparian forest microclimate and its implications for sampling

The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases

Modeling Relative Humidity in Headwater Forests Using Correlation with Air Temperature

Evaluation of sampling methods to quantify abundance of hardwoods and snags within conifer-dominated riparian zones

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