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Bat Activity On West Virginia Mined Lands Restored Via The Forestry Reclamation Approach, Briana C. Snyder 2022 University of Kentucky

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 …


Conk1 - Forest Pathology Specimen, Robert Z. Selden Jr. 2022 Heritage Research Center, Stephen F. Austin State University

Conk1 - Forest Pathology Specimen, Robert Z. Selden Jr.

CRHR: Archaeology

Pathology specimen.


Invasive Plants Watch List: 2022, Allison Zach 2022 University of Nebraska-Lincoln

Invasive Plants Watch List: 2022, Allison Zach

Nebraska Invasive Species Program

The purpose of the weed watch list is to collect data on the distribution of invasive plants found in various Nebraska counties. Counties were divided up into ‘ecoregions’ based on the Nebraska Game & Parks Commission’s Legacy Plan (map of regions below). The plants in the watch list have been identified based on their invasiveness in surrounding states and their increasing range in Nebraska. Data collected on watch list plant species distribution has been used to support the listing or delisting of noxious weeds. Plant species in the weed watch list are categorized based on early detection and rapid response …


Assessing Soil Disturbance From Tethered Logging On Steep Slopes In Northern California, Karolyn Marie Fagundes 2022 Cal Poly Humboldt

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 …


Field Maps 2022, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

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

Data Files

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


Geospatial Data Permanent Plot, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

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

Data Files

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).


Geospatial Data Trees 1994, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

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

Data Files

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 1988, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

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

Data Files

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).


Geospatial Data Trees 2022, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

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

Data Files

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 1981, Grace K. Attea, Ryan W. McEwan, John L. Vankat 2022 University of Dayton

Geospatial Data Trees 1981, Grace K. Attea, Ryan W. Mcewan, John L. Vankat

Data Files

Location and demographic data collected for each individual tree in 1981 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 2022 University of Dayton

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

Data Files

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).


Drought, Tree Mortality, And Regeneration In Northen California, Sophia LB Lemmo 2022 Cal Poly Humboldt

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 …


Ecological Effects Of Prescribed Burning, Mechanical Cutting, And Post-Treatment Wildfire For Restoration Of Pinus Albicaulis, Enzo Paolo Martelli Moya 2022 University of Montana, Missoula

Ecological Effects Of Prescribed Burning, Mechanical Cutting, And Post-Treatment Wildfire For Restoration Of Pinus Albicaulis, Enzo Paolo Martelli Moya

Graduate Student Theses, Dissertations, & Professional Papers

The field of ecological restoration is growing rapidly, increasing the need for reliable and generalizable information on the impacts of management interventions aimed to be restorative. Prescribed burning and mechanical cutting have been proposed as primary strategies for restoration. However, there is limited information on their efficacy and effects in subalpine forest types, suggesting that monitoring to inform adaptive management is a priority need. I used data from a 15-year, replicated before-after-control-impact (BACI) study on Pinus albicaulis (whitebark pine) restoration to assess the ecological effects of prescribed burning and mechanical cutting, with and without subsequent unplanned wildfire, as well as …


Invasive Earthworms In The Crown Of The Continent System And Implications For Land Management, Meghan Elizabeth Scott 2022 University of Montana, Missoula

Invasive Earthworms In The Crown Of The Continent System And Implications For Land Management, Meghan Elizabeth Scott

Graduate Student Theses, Dissertations, & Professional Papers

The United States contains invasive earthworms originating from Europe and Asia; the majority are European lumbricids. Direct introduction occurs primarily through human activity and, once established, earthworm populations are difficult to address. When exotic earthworms engage in bioturbation, they negatively alter subterranean food webs and nutrient cycling by disrupting soil layering systems. The most prominent form of physical alteration is the change and removal of the topmost organic layer. This disruption is associated with altered nitrogen and carbon cycling, as well as altered forest floor plant communities.

The Crown of the Continent ecosystem is located in southwestern Alberta, southeastern British …


Lidar-Landsat Covariance For Predicting Canopy Fuels, Margaret D. Epstein 2022 University of Montana

Lidar-Landsat Covariance For Predicting Canopy Fuels, Margaret D. Epstein

Graduate Student Theses, Dissertations, & Professional Papers

Managing wildfires in the western United States is becoming increasingly complex. Visualizing and quantifying canopy structures allows fire managers to both plan for fire and track recovery. Light detecting and ranging, or LiDAR can measure forests in three dimensions, but has limited spatial and temporal coverage. LiDAR-Landsat covariance uses machine learning to fill in the spatial and temporal gaps of LiDAR coverage with supplemental Landsat imagery. However, in order to capture real forest dynamics, a model needs to be stable enough to detect long term trends, sensitive to episodic disturbance, and general enough to work on multiple landcovers. The purpose …


Fine Scale Mapping Of Laurentian Mixed Forest Natural Habitat Communities Using Multispectral Naip And Uav Datasets Combined With Machine Learning Methods, Parth P. Bhatt 2022 Michigan Technological University

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 …


Common Garden Study Reveals Frost-Tolerant, Generalist Northern Seed Sources Are Best Suited To Expand Range Of Quercus Rubra, Emily Lindback 2022 Michigan Technological University

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 …


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 2022 West Virginia University

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

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 …


Seasonal Flammability Comparisons Of Native And Exotic Plants In The Post Oak Savannah, Blackland Prairie, And Pineywoods Ecoregions Of Texas, Michael Tiller 2021 Stephen F. Austin State University

Seasonal Flammability Comparisons Of Native And Exotic Plants In The Post Oak Savannah, Blackland Prairie, And Pineywoods Ecoregions Of Texas, Michael Tiller

Electronic Theses and Dissertations

East Texas’ diverse landscape can present year-round wildfire seasons that can be influenced by seasonal and regional differences in climate and physiography. Greater insight into the fundamental thermal behavior of wildland fuels can aid in fire behavior prediction and development of fire-resistant plant lists. This study focused on estimating seasonal and regional flammability characteristics of five evergreen species: yaupon (Ilex vomitoria), Chinese privet (Ligustrum sinense), greenbrier (Smilax spp.), eastern red cedar (Juniperus virginiana), and escarpment live oak (Quercus fusiformis); and two deciduous species: Chinese tallow (Triadica sebifera) and southern …


Identification And Characterization Of Forest Fire Risk Zones Leveraging Machine Learning Methods, Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, Nibhrat Lohia 2021 Southern Methodist University

Identification And Characterization Of Forest Fire Risk Zones Leveraging Machine Learning Methods, Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, Nibhrat Lohia

SMU Data Science Review

Across the United States, record numbers of wildfires are observed costing billions of dollars in property damage, polluting the environment, and putting lives at risk. The ability of emergency management professionals, city planners, and private entities such as insurance companies to determine if an area is at higher risk of a fire breaking out has never been greater. This paper proposes a novel methodology for identifying and characterizing zones with increased risks of forest fires. Methods involving machine learning techniques use the widely available and recorded data, thus making it possible to implement the tool quickly.


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