Geospatial Data Trees 2000,
2022
University of Dayton
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,
2022
University of Dayton
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,
2022
University of Dayton
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,
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 …
Fine Scale Mapping Of Laurentian Mixed Forest Natural Habitat Communities Using Multispectral Naip And Uav Datasets Combined With Machine Learning Methods,
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 …
Using Landsat-Based Phenology Metrics, Terrain Variables, And Machine Learning For Mapping And Probabilistic Prediction Of Forest Community Types In West Virginia,
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 (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 …
The Site Evaluation Of Quercus Alba Metabolites,
2022
University of Kentucky
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 …
Ecological Effects Of Prescribed Burning, Mechanical Cutting, And Post-Treatment Wildfire For Restoration Of Pinus Albicaulis,
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,
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,
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 …
Advancing Forest Structure-Function Relationships: Linking Above- And Belowground Structure To Soil Respiration,
2022
Virginia Commonwealth University
Advancing Forest Structure-Function Relationships: Linking Above- And Belowground Structure To Soil Respiration, Laura J. Hickey
Theses and Dissertations
Variation in the soil-to-atmosphere C flux, or soil respiration (Rs), is influenced by a suite of biotic and abiotic factors, including soil temperature, soil moisture, and root biomass. However, whether canopy structure is tied to soil respiration through its simultaneous influence over these drivers is not known. We assessed relationships between measures of above- and belowground vegetation density and complexity, and evaluated whether Rs is linked to remotely sensed canopy structure through pathways mediated by established biotic and abiotic mechanisms. Our results revealed that, at stand-scale, canopy rugosity–a measure of complexity–and vegetation area index were coupled to soil respiration through …
Drought, Tree Mortality, And Regeneration In Northen California,
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 …
Seasonal Flammability Comparisons Of Native And Exotic Plants In The Post Oak Savannah, Blackland Prairie, And Pineywoods Ecoregions Of Texas,
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,
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.
Pitch Canker In The Año Nuevo Monterey Pine Stand: A Retrospective Analysis,
2021
California Polytechnic State University, San Luis Obispo
Pitch Canker In The Año Nuevo Monterey Pine Stand: A Retrospective Analysis, Davis Harrison
Master of Science in Environmental Sciences and Management Projects
Monterey pine (Pinus radiata) is a closed cone conifer tree native to California. Although it is an ecologically and economically valuable tree, there are only five remaining native populations, including, the Año Nuevo stand along California’s central coast. All the remaining native populations have faced threats to their survival, none more than the non-native disease pitch canker (Fusarium circinatum). This fungal infection causes lesions, dead branches, tree top death, and can be potentially fatal to infected trees. This paper is a continuation of a study beginning in 2001, aimed at evaluating the impact of silvicultural management practices on pitch canker …
Post-Czu Lightning Complex Regeneration In The Año Nuevo Monterey Pine Stand,
2021
California Polytechnic State University, San Luis Obispo
Post-Czu Lightning Complex Regeneration In The Año Nuevo Monterey Pine Stand, Allison Trutna
Master of Science in Environmental Sciences and Management Projects
Climate induced increases in fire frequency and severity along with years of fire suppression and drought are predicted for California. The recent CZU Lightning Complex, a high severity wildfire, burned in the Santa Cruz Mountains on California’s central coast and affected an assortment of vegetation, including the survival and recovery of the native Año Nuevo Monterey pine (Pinus radiata (D. Don)) stand. This stand is partially located in Cal Poly’s Swanton Pacific Ranch and has been monitored for over 20 years for the presence of pitch canker (Fusarium circinatum) fungal disease. This study characterized the survival and initial recovery of …
Post-Fire Tree Mortality And Regeneration Patterns As Proxies Of Conifer Forest Resilience,
2021
Portland State University
Post-Fire Tree Mortality And Regeneration Patterns As Proxies Of Conifer Forest Resilience, Sebastian Upton Busby
Dissertations and Theses
Shifting wildfire patterns and climate conditions, magnified by anthropogenic climate change, are threatening the resilience of conifer forests in North America and more specifically, the western US. If native conifer species are functionally maladapted to novel fire patterns and post-fire climate conditions, large-scale shifts in conifer forest structure, composition, and extent may occur as warming intensifies. Forest resilience in the context of fire and climate can be understood and quantified by the survival of trees through fire events and success of trees to regenerate post-fire and maintain population levels. In this dissertation, I use field observations and remote sensing to …
Natural Regeneration Dynamics And Survival Influenced By Abiotic And Biotic Factors In A Bottomland Hardwood Forest,
2021
Stephen F Austin State University
Natural Regeneration Dynamics And Survival Influenced By Abiotic And Biotic Factors In A Bottomland Hardwood Forest, Lydia J. Voth Rurup
Electronic Theses and Dissertations
Riparian ecosystems are vital to the landscape, providing critical services including water filtration and purification, flood and erosion control, carbon sequestration, biodiversity support, and aesthetic value. Bottomland hardwood forests, however, are threatened by invasive species, land loss/conversion, inconsistent or absence of harvesting disturbances, and altered hydrological patterns, leading to reduced success of desired, native species. This research assessed regeneration dynamics and one-year survival in a seasonally-flooded bottomland hardwood forest at Boggy Slough Conservation Area in East Texas to identify abiotic and biotic factors important for successful establishment of native regeneration. Areas sampled included two that were previously treated with herbicide …
Interpolating Missing Data And Comparing Performance Of Common Interpolation Techniques From A 30-Year Water Quality Dataset,
2021
University of Wisconsin - La Crosse
Interpolating Missing Data And Comparing Performance Of Common Interpolation Techniques From A 30-Year Water Quality Dataset, Wako Bungula, Danelle M. Larson Dr., Killian Davis, Richard Erickson Dr., Amber Lee, Casey Mckean, Frederick Miller, Alaina Stockdill, Enrika Hlavacek
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling Environmental Factors Related To Drought-Induced Tree Mortality Based On Lidar And Hyperspectral Imagery,
2021
Portland State University
Modeling Environmental Factors Related To Drought-Induced Tree Mortality Based On Lidar And Hyperspectral Imagery, Lauren Nicole Sharwood
Dissertations and Theses
Climate change is projected to bring more frequent and prolonged droughts, causing widespread forest die-off. Identifying tree mortality over large spatial extents in response to the most recent California drought will help forest managers and conservationists understand where there may be a greater likelihood of future die-offs. In order to find more at-risk areas, this study evaluated how interacting site-specific topographic, climate, substrate, and stand characteristics mediated tree mortality in the Central Sierra Nevada during the 2012-2016 drought. The author used lidar and hyperspectral imagery provided by the National Ecological Observatory Network to identify individual dead trees using the Random …
