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).
Decadal Reevaluation Of Sugar Maple Dieback Etiology Across The Upper Great Lakes Region,
2022
Michigan Technological University
Decadal Reevaluation Of Sugar Maple Dieback Etiology Across The Upper Great Lakes Region, Mattison E. Brady
Dissertations, Master's Theses and Master's Reports
Sugar maple (Acer saccharum) is a foundational tree species in northern hardwood forests of the United States and Canada. Though previous work has documented areas of substantial stress for this species in eastern North America, increasing reports of crown dieback in the Upper Great Lake states through the early 2000’s highlighted the relative lack of understanding of regional trends and causes. A 120-plot network of maple forest health monitoring sites was established and annually visited across Upper Michigan, northern Wisconsin, and eastern Minnesota between 2009 and 2012 to catalog and understand the regional phenomenon.
Results from the project’s …
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 …
Wilderness And The Geotag: Exploring The Claim That "Geotagging Ruins Nature" In The Alpine Lakes Wilderness, Wa,
2022
Central Washington University
Wilderness And The Geotag: Exploring The Claim That "Geotagging Ruins Nature" In The Alpine Lakes Wilderness, Wa, Mara Gans
All Master's Theses
This research explores the claim that “geotagging ruins nature” by quantifying and qualifying patterns in geotag use and visitors’ experiences in the Alpine Lakes Wilderness, in Washington, United States. Many have raised concerns that geotags increase recreational visitation to public lands, which subsequently contributes to negative resource impacts. Others, however, claim that geotagging has made the outdoors more accessible to less privileged communities and raise concerns that condemning geotags will perpetuate the exclusion of certain groups from outdoor recreation. This debate is studied within federally designated Wilderness, which is legally defined as “untrammeled by man,” a definition rooted in problematic …
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 Impacts Of Maple Syrup Production On The Herbaceous Layer In Appalachian Hardwood Forests,
2022
West Virginia University
The Impacts Of Maple Syrup Production On The Herbaceous Layer In Appalachian Hardwood Forests, Logan Scott Ferguson
Graduate Theses, Dissertations, and Problem Reports (ETD)
Vegetation data were collected from eight maple syrup farms (sugarbushes) and eight undeveloped maple-dominated sites to examine potential differences in understory plant communities due to disturbance effects. Understory plants were identified to the species level and percent cover of aboveground leaf-area for each species was estimated within 600 total quadrats. Overstory data and environmental data were collected to help determine if they had any effect on herbaceous-layer plant communities. Species richness, Shannon diversity, and Pielou’s evenness were calculated, with the analysis showing no significant differences between the site types. The absolute cover of plant functional groups was also compared between …
Potential Effects Of Amynthas Agrestis Invasion On Woody Understory Flora In The Cvnp,
2022
The University of Akron
Potential Effects Of Amynthas Agrestis Invasion On Woody Understory Flora In The Cvnp, Christian Mammana
Williams Honors College, Honors Research Projects
Ohio forests are threatened by the invasive ecosystem engineer A. agrestis. A. agrestis invasion typically co-occurs with the ecosystem engineer, Odocoileus virginianus, where their impacts may synergize. To determine the direct effects of A. agrestis invasion, fenced plots across the Cuyahoga Valley National Park that excluded deer were utilized. The species richness, Shannon diversity and evenness of woody understory flora was measured in each plot. Mustard extraction was used to determine earthworm abundance. Correlations between abundance and measured variables were used to highlight potential invasion effects. Abundance and species richness was found to have a significant, positive correlation (p = …
Transformation Of Farmer Resistance In Conservation Areas: Land Occupation By Farmers In Mount Halimun-Salak National Park, West Java,
2022
Rural Sociology Study Program, Graduate School, IPB Bogor Agricultural University
Transformation Of Farmer Resistance In Conservation Areas: Land Occupation By Farmers In Mount Halimun-Salak National Park, West Java, Sulastri Sardjo, Arya Hadi Dharmawan, Dudung Darusman, Ekawati Sri Wahyuni
Masyarakat: Jurnal Sosiologi
A number of studies have shown various agrarian conflicts as a response by local farmers against the policy of national parks that prohibits them from accessing conservation forest areas. However, previous studies had not explained the dynamics of power relations between park authorities and farmers who stand in opposition to these policies. This study employs a qualitative research approach complemented by secondary data to explain the transformation of farmer resistance in the Mount Halimun-Salak National Park (TNGHS) area, namely from their repertoire of everyday resistance to practices of land occupation. Specifically, this study uses the “powercube” analytical framework to explain …
Partnerships Create Success For The Devil’S Garden Wild Horses,
2022
University of California Cooperative Extension
Partnerships Create Success For The Devil’S Garden Wild Horses, Laura K. Snell
Human–Wildlife Interactions
Many wild horse (Equus ferus caballus) populations that inhabit designated federal land in the United States currently exceed management objectives. Overabundant wild horse populations can adversely impact the ecosystem, native wildlife, and other land uses. Unfortunately, there is not a universal solution, as each impacted area may differ ecologically, economically, socially, and politically. Wild horse management is not just a 1-time project but a long-term program where buy-in is needed from the federal and state agencies, local governments, and private partners. Local county governments and private partners can have important insights and significant influence on the development and …
Evaluating The Effects Of Tree Community Species Composition On Larix Occidentalis Growth,
2022
University of Montana, Missoula
Evaluating The Effects Of Tree Community Species Composition On Larix Occidentalis Growth, Christian M. Mercado
Graduate Student Theses, Dissertations, & Professional Papers
Western larch (Larix occidentalis) is an important tree species exclusive to the inland northwest region of North America. It is very intolerant of shade but managed across a range of communities with both shade-tolerant and -intolerant species. Recent works have shown that tree and stand level competition in mixed-species communities can be modified depending on how the characteristics of species in a mixture interact. Such changes can alter the growth relationship of the participant species. Western larch growth has been well-characterized in empirical growth models, where growth is typically estimated from a complex of size, competition, density, and …
Deriving Surface Fuels From Uas Imagery Forfire Models,
2022
University of Montana, Missoula
Deriving Surface Fuels From Uas Imagery Forfire Models, Matthew R. Cunningham
Graduate Student Theses, Dissertations, & Professional Papers
Understanding how fuel, weather, and terrain interact to produce fire behavior continues to motivate fire science andhas resulted in development of new physics-based fire behavior models that place increased demands on input data such as fuels. Recent technological advancements in computing, unmanned aerial systems (UAS), and sensors (RGB, multispectral, thermal, and hyperspectral cameras) can provide new opportunities for land managers and scientists to advance knowledge of fuels and fire behavior and their interactions on the landscape. In this study, imagery from high resolution multispectral cameras mounted on UAS were used to build orthomosaics and point clouds of surface fuelbeds in …
Understanding The Utilization Of Woody Biomass Through The Perspectives Of Southwest United States Forest Service Land Managers: A Qualitative Study,
2022
University of Montana
Understanding The Utilization Of Woody Biomass Through The Perspectives Of Southwest United States Forest Service Land Managers: A Qualitative Study, Mary-Ellen Reyna
Graduate Student Theses, Dissertations, & Professional Papers
Dry ponderosa pine/mixed conifer stands in the Southwestern United States create an overabundance of woody biomass during restoration and fuel treatments. It has been the job of land managers and resource specialists to develop management goals and practices to treat stands and lower the risk of catastrophic wildfires while managing for accumulations of woody biomass. Knowing the limitations, setbacks, and successes will help researchers, the United States Forest Service, and other land managers better improve woody biomass utilization. In conjunction with three previous ForBio Southwest studies, we present results from ten phone interviews from three Arizona and New Mexico ranger …
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 …
Investigating Seed Maturation And Mortality: A Mechanism For Post-Fire Regeneration In Non-Serotinous Conifers,
2022
Cal Poly Humboldt
Investigating Seed Maturation And Mortality: A Mechanism For Post-Fire Regeneration In Non-Serotinous Conifers, Madeleine A. Lopez
Cal Poly Humboldt theses and projects
Climate warming and associated dry conditions are contributing to increased fire frequency, severity, and size, for many regions in western North America. These changes in fire activity have prompted concern over the long-term persistence of some conifer species, specifically those not adapted to withstand high-severity fire. However, regeneration of non-serotinous conifer species is possible if the timing of fire occurs following seed maturation, and within a heat range that seeds can withstand, in a regenerative mechanism termed “facultative serotiny.” To address this mechanism, I determined the timing of conifer seed maturation using viability testing for four California conifer species: ponderosa …
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 …
Effects Of Dissimilar Silvicultural Techniques On Small Mammal Communities In Michigan's Upper Peninsula,
2022
Michigan Technological University
Effects Of Dissimilar Silvicultural Techniques On Small Mammal Communities In Michigan's Upper Peninsula, Breanna R. Gusick
Dissertations, Master's Theses and Master's Reports
Small mammal populations, and predators reliant upon them as food resources, are often challenged by conflicting objectives of timber production and maintenance of quality habitat. With over 70% of the landscape forested, and nearly one-third of the land privately owned, Michigan’s Upper Peninsula (UP) is a matrix of independent management strategies. To assess the effects of various silvicultural regeneration methods on small mammal populations in the Upper Peninsula, we trapped small mammals in experimental silviculture plots, whereby treatments varied by regeneration method (amount of residual canopy cover) and site preparation (i.e., control, tip-up, and scarification), and deer exclosures. We used …
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.
Smokejumper Obituary: Howells, Dan M. (Mccall 1974),
2021
Eastern Washington University
Smokejumper Obituary: Howells, Dan M. (Mccall 1974), National Smokejumper Association
Smokejumper Obituaries
No abstract provided.
Smokejumper Obituary: Hall, Dann Jay (Anchorage 1972),
2021
Eastern Washington University
Smokejumper Obituary: Hall, Dann Jay (Anchorage 1972), National Smokejumper Association
Smokejumper Obituaries
No abstract provided.
