Other Forestry and Forest Sciences Commons^™

Bat Activity On West Virginia Mined Lands Restored Via The Forestry Reclamation Approach, Briana C. Snyder

Theses and Dissertations--Forestry and Natural Resources

The Forestry Reclamation Approach (FRA) is a practical guide to reforesting surface mined lands. Bats, as a unique group of species with declining populations, could benefit from this reforestation. In order to determine if the FRA is providing suitable bat foraging habitat, I surveyed bat activity at created depressional wetlands on 1-year old and 8-year old FRA restored lands (FRA1; FRA8), as well as at naturally formed wetlands in regenerating forest on traditionally reclaimed mined land (~40 years old; REGEN) and wetlands in mature forest not previously mined (MAT). I passively recorded echolocation calls for 12 nights across sixteen sites …

Geospatial Data Permanent Plot, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Permanent plot GIS shapefile that measures 100m x 105m and consists of 420 contiguous 5m x 5m subplots. There are 21 transects that run from south to north and 20 subplots per transect that run east to west. This downloadable data is a zipped file containing 8 shapefile building blocks. Geographic Coordinate System: GCS_North_American_1983. Projected Coordinate System: NAD_1983_StatePlane_Ohio_South_FIPS_3402 (meters).

Field Maps 2022, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Historical field map scans (2022) for the permanent 100m x 105m research plot in Hueston Woods State Nature Preserve.

Geospatial Data Trees 1994, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Location and demographic data collected for each individual tree in 1994 in Hueston Woods State Nature Preserve. These maps were digitized from the historical field maps to a GIS shapefile for each sampling year. Geographic Coordinate System: GCS_North_American_1983. Projected Coordinate System: NAD_1983_StatePlane_Ohio_South_FIPS_3402 (meters).

Geospatial Data Trees 2000, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Location and demographic data collected for each individual tree in 2000 in Hueston Woods State Nature Preserve. These maps were digitized from the historical field maps to a GIS shapefile for each sampling year. Geographic Coordinate System: GCS_North_American_1983. Projected Coordinate System: NAD_1983_StatePlane_Ohio_South_FIPS_3402 (meters).

Geospatial Data Trees 2022, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Location and demographic data collected for each individual tree in 2022 in Hueston Woods State Nature Preserve. These maps were digitized to a GIS shapefile for each sampling year. Geographic Coordinate System: GCS_North_American_1983. Projected Coordinate System: NAD_1983_StatePlane_Ohio_South_FIPS_3402 (meters).

Geospatial Data Trees 1988, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files for Old-Growth Deciduous Forest Dynamics Archive: Hueston Woods

Location and demographic data collected for each individual tree in 1988 in Hueston Woods State Nature Preserve. These maps were digitized from the historical field maps to a GIS shapefile for each sampling year. Geographic Coordinate System: GCS_North_American_1983. Projected Coordinate System: NAD_1983_StatePlane_Ohio_South_FIPS_3402 (meters).

Common Garden Study Reveals Frost-Tolerant, Generalist Northern Seed Sources Are Best Suited To Expand Range Of Quercus Rubra, Emily Lindback

Dissertations, Master's Theses and Master's Reports

Climate change is shifting the potential suitable range of northern red oak (Quercus rubra L.) faster than it can migrate, creating an adaptation lag. Quercus rubra is prominent in eastern North American forests and important for its carbon sequestration, ecological roles, and economic significance. Our study addresses which populations of Q. rubra are best suited for climatic conditions at the northern and central range limits. Our findings can inform forestry management policies such as assisted migration, where species are transferred within their native range to mitigate the effects of climate change. We planted over 800 Q. rubra seedlings …

Fine Scale Mapping Of Laurentian Mixed Forest Natural Habitat Communities Using Multispectral Naip And Uav Datasets Combined With Machine Learning Methods, Parth P. Bhatt

Dissertations, Master's Theses and Master's Reports

Natural habitat communities are an important element of any forest ecosystem. Mapping and monitoring Laurentian Mixed Forest natural communities using high spatial resolution imagery is vital for management and conservation purposes. This study developed integrated spatial, spectral and Machine Learning (ML) approaches for mapping complex vegetation communities. The study utilized ultra-high and high spatial resolution National Agriculture Imagery Program (NAIP) and Unmanned Aerial Vehicle (UAV) datasets, and Digital Elevation Model (DEM). Complex natural vegetation community habitats in the Laurentian Mixed Forest of the Upper Midwest. A detailed workflow is presented to effectively process UAV imageries in a dense forest environment …

Drought, Tree Mortality, And Regeneration In Northen California, Sophia Lb Lemmo

Cal Poly Humboldt theses and projects

The 2012-2016 California drought was the most severe in the state’s recorded history, contributing to the death of millions of trees. While the effects of this drought on forests are relatively well studied in the central and southern Sierra Nevada, less is known about its effects on the heavily timbered and diverse forests of northern California. Through sampling 54 0.25 ha plots in northern California, this study compared tree mortality and regeneration patterns before, during, and after California’s most recent record-setting drought. This study evaluated 1) the influence of habitat and competitive covariates on mortality and regeneration trends using ridge …

Assessing Soil Disturbance From Tethered Logging On Steep Slopes In Northern California, Karolyn Marie Fagundes

Cal Poly Humboldt theses and projects

The implementation of tethered harvesting allows for the expansion of mechanized logging onto steeper slopes. Recent updates to the California Forest Practice Rules have explicitly removed the slope limitation for logging equipment, provided it’s tethered. California is now witnessing the reintroduction of ground-based logging equipment on steep slopes. Previously, operating equipment on steep slopes was considered detrimental due to the potential for soil disturbance. However, tethered equipment interacts with the soil in a new way due to the use of a winch. Relatively few studies have attempted to quantify soil disturbance with this new practice. The goal of this study …

The Site Evaluation Of Quercus Alba Metabolites, Zachary Alexander Byrd

Theses and Dissertations--Plant and Soil Sciences

Quercus alba has been the prominent tree species utilized in the spirits industry for decades. Of its many qualities, the ability to impart desirable flavors on spirits combined with its natural abundance makes it the ideal choice for barrels. Creating barrels is a uniform process, but variability still exists in aged spirits even when all other parameters are controlled. In this thesis, I explore how the origin of Quercus alba influences metabolite variability.

Quercus alba is a resilient species that can grow in many climates. This is seen through Quercus alba’s vast growing range, of which barrel quality white oak …

Using Landsat-Based Phenology Metrics, Terrain Variables, And Machine Learning For Mapping And Probabilistic Prediction Of Forest Community Types In West Virginia, Faith M. Hartley

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study investigates the mapping of forest community types for the entire state of West Virginia, USA using Global Land Analysis and Discovery (GLAD) Phenology Metrics analysis ready data (ARD) derived from the Landsat time series and digital terrain variables derived from a digital terrain model (DTM). Both classifications and probabilistic predictions were made using random forest (RF) machine learning (ML) and training data derived from ground plots provided by the West Virginia Natural Heritage Program (WVNHP). The primary goal of this study is to explore the use of globally consistent ARD data for operational forest type mapping over a …