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University of Arkansas, Fayetteville

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Articles 31 - 60 of 198

Full-Text Articles in Geography

Quantifying The Effect Of Socio-Economic Predictors And The Built Environment On Mental Health Events In Little Rock, Ar, Alfieri Ek, Grant Drawve, Samantha Robinson, Jyotishka Datta May 2023

Quantifying The Effect Of Socio-Economic Predictors And The Built Environment On Mental Health Events In Little Rock, Ar, Alfieri Ek, Grant Drawve, Samantha Robinson, Jyotishka Datta

Sociology and Criminology Faculty Publications and Presentations

Law enforcement agencies continue to grow in the use of spatial analysis to assist in identifying patterns of outcomes. Despite the critical nature of proper resource allocation for mental health incidents, there has been little progress in statistical modeling of the geo-spatial nature of mental health events in Little Rock, Arkansas. In this article, we provide insights into the spatial nature of mental health data from Little Rock, Arkansas between 2015 and 2018, under a supervised spatial modeling framework. We provide evidence of spatial clustering and identify the important features influencing such heterogeneity via a spatially informed hierarchy of generalized …

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Geographic Object-Based Image Analysis For Archaeological Site Detection: A Case Study For The Chicama Valley, Peru, Cesca Craig May 2023

Geographic Object-Based Image Analysis For Archaeological Site Detection: A Case Study For The Chicama Valley, Peru, Cesca Craig

Anthropology Undergraduate Honors Theses

This study represents a first attempt at applying geographic object-based image analysis (GEOBIA) for the detection of extant archaeological sites in the Chicama River Valley located in northern coastal Peru. This region is characterized by the presence of mound-like archaeological sites dispersed throughout large-scale agricultural fields. High-resolution multispectral imagery from Planet Labs was used in this study because of its high spatial and temporal resolution and availability at no cost through Planet’s Education and Research Program. The main goal for this study was to explore GEOBIA as an approach to archaeological site detection and assess the feasibility of developing exportable …

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The Terroir Of Swiss Cheese: A Temporal And Geomorphological Investigation Of The Martian Co2 Sublimation Pits, Racine D. Cleveland May 2023

The Terroir Of Swiss Cheese: A Temporal And Geomorphological Investigation Of The Martian Co2 Sublimation Pits, Racine D. Cleveland

Graduate Theses and Dissertations

Observations by NASA Mars Global Surveyor showed evidence of rough topography on the South Pole of Mars. The topography is the result of CO2 sublimation processes that occur through the changing seasons on the red planet. These sublimation areas are known to scientists as Swiss Cheese Features (SCF). SCF are erosional degradation pits that have been studied for over two decades. Studies show that these SCF increase in area over time, but these values are collected by hand on a per feature basis. Models for the pit evolution have also played a part in understanding these SCF. This work is …

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A Geospatial Assessment Of Turkey’S Military Campaigns Against The Autonomous Administration Of North And East Syria, Steven Lucas Escalante May 2023

A Geospatial Assessment Of Turkey’S Military Campaigns Against The Autonomous Administration Of North And East Syria, Steven Lucas Escalante

Graduate Theses and Dissertations

In addition to hosting more Syrian refugees than any other nation, Turkey has played a significant role in the dynamics of the Syrian civil war since 2011 under President Recep Tayyip Erdoğan. As the dynamics in the war shifted, so did Ankara’s focus towards the preferred ground forces of the Global Coalition for the fight against the Islamic State, who Ankara views as an extension of the PKK. In turn, this PYD-led de-facto Autonomous Administration has faced multiple Turkish ground invasions since 2016 and a continuing series of aerial attacks. A geospatial assessment of the Turkish-Syrian Democratic Forces border conflict …

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Reproducibility And Replicability In Unmanned Aircraft Systems And Geographic Information Science, Cassandra Howe May 2023

Reproducibility And Replicability In Unmanned Aircraft Systems And Geographic Information Science, Cassandra Howe

Graduate Theses and Dissertations

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R) in which the validity of methodologies is questioned due to an inability to confirm experimental results. Trust in information technology (IT)-intensive workflows within geographic information science (GIScience), remote sensing, and photogrammetry depends on solutions to R&R challenges affecting multiple computationally driven disciplines. To date, there have only been very limited efforts to overcome R&R-related issues in remote sensing workflows in general, let alone those tied to disruptive technologies such as unmanned aircraft systems (UAS) and machine learning (ML). To accelerate an understanding of this crisis, a review was …

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Cartographic Analysis Of Earth-Sun Relationships In Ancient Amazonia, Jackson Bennett Critser May 2023

Cartographic Analysis Of Earth-Sun Relationships In Ancient Amazonia, Jackson Bennett Critser

Graduate Theses and Dissertations

The alignments of ancient man-made earthworks across the Amazon Basin, known as geoglyphs, have recently been discovered to predate early societal dates. Although much research indicated that the Amazon was uninhabitable until the last 1000 years (Meggers 1971), new evidence suggests this is not the case. The application of advanced cartographic and GIS technologies were implemented to link solar ‘marker’ days (e.g. solstices, equinoxes) with the alignment of geoglyphs, megaliths, stone architecture, and broader city forms to discover and analyze previously unknown Earth-Sun relationships across the Amazon Basin to conceivably sophisticated urban and architectural plans. The study of these geoglyphs …

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“Born For A Storm”: Hard-Right Social Media And Civil Unrest, Daniel Karell, Andrew Linke, Edward Holland, Edward Hendrickson Mar 2023

“Born For A Storm”: Hard-Right Social Media And Civil Unrest, Daniel Karell, Andrew Linke, Edward Holland, Edward Hendrickson

Geosciences Faculty Publications and Presentations

Does activity on hard-right social media lead to hard-right civil unrest? If so, why? We created a spatial panel dataset comprising hard-right social media use and incidents of unrest across the United States from January 2020 through January 2021. Using spatial regression analyses with core-based statistical area (CBSA) and month fixed effects, we find that greater CBSA-level hard-right social media activity in a given month is associated with an increase in subsequent unrest. The results of robustness checks, placebo tests, alternative analytical approaches, and sensitivity analyses support this finding. To examine why hard-right social media activity predicts unrest, we draw …

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Black Businesses Matter: A Longitudinal Study Of Black-Owned Restaurants In The Covid-19 Pandemic Using Geospatial Big Data, Xiao Huang, Xiaoqi Bao, Zhenlong Li, Shaozeng Zhang, Bo Zhao Jan 2023

Black Businesses Matter: A Longitudinal Study Of Black-Owned Restaurants In The Covid-19 Pandemic Using Geospatial Big Data, Xiao Huang, Xiaoqi Bao, Zhenlong Li, Shaozeng Zhang, Bo Zhao

Geosciences Faculty Publications and Presentations

Black communities in the United States have been disproportionately affected by the COVID-19 pandemic; however, few empirical studies have been conducted to examine the conditions of Black-owned businesses in the United States during this challenging time. In this article, we assess the circumstances of Black-owned restaurants during the entire year of 2020 through a longitudinal quantitative analysis of restaurant patronage. Using multiple sources of geospatial big data, the analysis reveals that most Black-owned restaurants in this study are disproportionately affected by the COVID-19 pandemic among different cities in the United States over time. The finding reveals the need for a …

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Flood Hazard And Risk Analyses In The Republic Of Panama: A Case Study From The Juan Diaz River Watershed In Panama City, Virgilio De Jesus Quintero Dec 2022

Flood Hazard And Risk Analyses In The Republic Of Panama: A Case Study From The Juan Diaz River Watershed In Panama City, Virgilio De Jesus Quintero

Graduate Theses and Dissertations

Flooding is the natural hazard with most occurrences in Panama. Its frequency and magnitude have increased over the years. This dissertation analyzes Panama’s flood activity in order to better understand flood hazards, the current evolution of Panamanian perceptions of flood risk, and the incorporation of indigenous knowledge used to mitigate flood hazards. The first chapter developed a baseline of past and current flood inventory in Panama, which required the use of flood historical data, thematic cartography, and Geographic Information Science (GIS). This chapter shows Panama has experienced floods in varying degrees. Through the spatial and temporal distribution of floods from …

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Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery, Md Kamrul Hasan Khan Dec 2022

Efficient Hierarchical Space-Time Models For Large Areal Datasets With Application To Forest Inventory Mapping Using Remote Sensing Imagery, Md Kamrul Hasan Khan

Graduate Theses and Dissertations

The focus of this dissertation is development of a novel hierarchical framework, that can be used for predictive modeling of Forest Inventory and Analysis (FIA) data over large regions. This dissertation has two significant contributions. Based on a study region in north-central Wisconsin, we analyze satellite imagery, along with a sample of national forest inventory field plots, to monitor and predict changes in forest conditions over time. The auxiliary data from the satellite imagery of this region are relatively dense in space and time, and can be used to learn how forest conditions changed over that decade. However, these records …

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The Human Natural Resource Endowment Of Limestone For Cement Manufacturing, Vanya Marie North Dec 2022

The Human Natural Resource Endowment Of Limestone For Cement Manufacturing, Vanya Marie North

Graduate Theses and Dissertations

This study investigates the total per-capita allocation of limestone globally. Termed the Human Natural Resource Endowment (HNRE), it is calculated by subtracting the cumulative annual production from the ultimately recoverable reserve (URR) of limestone and dividing the difference by global population. HNRE represents a unique way of visualizing resource depletion by asking how much of a given resource can be allocated to each person on earth, and how long that allocation can last given multiple population and usage scenarios. The average American, born in 2021, will use approximately 23,930 kgs of cement in their lifetime, with similar demands globally. Demand …

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Orbital Mapping Of Seasonal And Yearly Changes In Co2 And Water Ice On The Southern Polar Cap Of Mars, Victoria Michell Ann Karnes Dec 2022

Orbital Mapping Of Seasonal And Yearly Changes In Co2 And Water Ice On The Southern Polar Cap Of Mars, Victoria Michell Ann Karnes

Graduate Theses and Dissertations

This research exhibits a new foundation for the rates of change in CO2 and water ice on the southern polar cap of Mars, where the annual precipitation cycles are known to fluctuate seasonally between the north and south pole, based on observations from the Compact Reconnaissance Imaging Spectrometer (CRISM). The conventional belief is that both CO2 ice and water ice on the southern polar cap condenses and evaporates over the course of a Martian year (MY), condensing during the Martian spring and summer and evaporating during the Martian fall and winter. With this theory in mind, CO2 and water ice …

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Delineating Field Variation Using Apparent Electrical Conductivity In An Ozark Highlands Agroforestry System, Shane Reid Ylagan Dec 2022

Delineating Field Variation Using Apparent Electrical Conductivity In An Ozark Highlands Agroforestry System, Shane Reid Ylagan

Graduate Theses and Dissertations

Little to no work has been conducted assessing field variability using repeated electromagnetic induction (EMI) apparent electrical conductivity (ECa) surveys in agroforestry (AF) systems within regions similar to the Ozark Highlands. The objectives of this thesis were to identify i) spatiotemporal ECa variability; ii) ECa-derived soil management zones (SMZs); iii) correlations among EMI-ECa and in-situ, sentential-site soil properties; iv) whether fewer, EMI-ECa surveys could be conducted to capture similar ECa variance as mid-monthly EMI-ECa surveys; v) correlations between ECa and forage yield, tree growth, and terrain attributes based on plant (forage and tree) species, and fertility treatments, and ECa-derived SMZs, …

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Precision Weed Management Based On Uas Image Streams, Machine Learning, And Pwm Sprayers, Jason Allen Davis Dec 2022

Precision Weed Management Based On Uas Image Streams, Machine Learning, And Pwm Sprayers, Jason Allen Davis

Graduate Theses and Dissertations

Weed populations in agricultural production fields are often scattered and unevenly distributed; however, herbicides are broadcast across fields evenly. Although effective, in the case of post-emergent herbicides, exceedingly more pesticides are used than necessary. A novel weed detection and control workflow was evaluated targeting Palmer amaranth in soybean (Glycine max) fields. High spatial resolution (0.4 cm) unmanned aircraft system (UAS) image streams were collected, annotated, and used to train 16 object detection convolutional neural networks (CNNs; RetinaNet, Faster R-CNN, Single Shot Detector, and YOLO v3) each trained on imagery with 0.4, 0.6, 0.8, and 1.2 cm spatial resolutions. Models were …

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Social Media Mining Under The Covid-19 Context: Progress, Challenges, And Opportunities, Xiao Huang, Siqin Wang, Mengxi Zhang, Tao Hu, Alexander Hohl, Bing She, Jianxin Li, Xiao Liu, Oliver Gruebner, Regina Liu, Xiao Li, Zhewei Liu, Xinyue Ye, Zhenlong Li Sep 2022

Social Media Mining Under The Covid-19 Context: Progress, Challenges, And Opportunities, Xiao Huang, Siqin Wang, Mengxi Zhang, Tao Hu, Alexander Hohl, Bing She, Jianxin Li, Xiao Liu, Oliver Gruebner, Regina Liu, Xiao Li, Zhewei Liu, Xinyue Ye, Zhenlong Li

Geosciences Faculty Publications and Presentations

Social media platforms allow users worldwide to create and share information, forging vast sensing networks that allow information on certain topics to be collected, stored, mined, and analyzed in a rapid manner. During the COVID-19 pandemic, extensive social media mining efforts have been undertaken to tackle COVID-19 challenges from various perspectives. This review summarizes the progress of social media data mining studies in the COVID-19 contexts and categorizes them into six major domains, including early warning and detection, human mobility monitoring, communication and information conveying, public attitudes and emotions, infodemic and misinformation, and hatred and violence. We further document essential …

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Context For Reproducibility And Replicability In Geospatial Unmanned Aircraft Systems, Cassandra Howe, Jason A. Tullis Sep 2022

Context For Reproducibility And Replicability In Geospatial Unmanned Aircraft Systems, Cassandra Howe, Jason A. Tullis

Geosciences Faculty Publications and Presentations

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R) in which the validity of methodologies is questioned due to an inability to confirm experimental results. Trust in information technology (IT)-intensive workflows within geographic information science (GIScience), remote sensing, and photogrammetry depends on solutions to R&R challenges affecting multiple computationally driven disciplines. To date, there have only been very limited efforts to overcome R&R-related issues in remote sensing workflows in general, let alone those tied to unmanned aircraft systems (UAS) as a disruptive technology. This review identifies key barriers to, and suggests best practices for, R&R in geospatial …

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Deep Learning Applications In Industrial And Systems Engineering, Winthrop Harvey Aug 2022

Deep Learning Applications In Industrial And Systems Engineering, Winthrop Harvey

Graduate Theses and Dissertations

Deep learning - the use of large neural networks to perform machine learning - has transformed the world. As the capabilities of deep models continue to grow, deep learning is becoming an increasingly valuable and practical tool for industrial engineering. With its wide applicability, deep learning can be turned to many industrial engineering tasks, including optimization, heuristic search, and functional approximation. In this dissertation, the major concepts and paradigms of deep learning are reviewed, and three industrial engineering projects applying these methods are described. The first applies a deep convolutional network to the task of absolute aerial geolocalization - the …

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Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia Aug 2022

Changes Of Winter Severity In Arkansas During 1901-2100, Christian Garcia

Graduate Theses and Dissertations

The objective of this study was to quantify the winter severity in a way that was reproduceable and easy to understand. The Accumulated Winter Severity Seasonal Index (AWSSI) was chosen for this reason and was used to quantify winter severity by season across the state of Arkansas. The variables that go into the AWSSI calculation are maximum daily temperature, minimum daily temperature, daily snowfall, and daily snow depth. When the snowfall and snow depth were missing, they can be estimated using daily temperature and precipitation. Then the estimated snowfall and snow depth can be subsequently used to quantify the winter …

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Combining Precipitation Forecasts And Vegetation Health To Predict Fire Risk At Subseasonal Timescale In The Amazon, Katia Fernandes, Michael Bell, Angel Munoz Jul 2022

Combining Precipitation Forecasts And Vegetation Health To Predict Fire Risk At Subseasonal Timescale In The Amazon, Katia Fernandes, Michael Bell, Angel Munoz

Geosciences Faculty Publications and Presentations

Current forecast systems provide reliable deterministic forecasts at the scale of weather (1-7 days) and probabilistic outcomes at the scale of seasons (1-9 months). Only in recent years research has begun transitioning to operational settings to provide numerical predictions for a lead time of 2-4 weeks, a timescale known as subseasonal. The Subseasonal Experiment (SubX) multi-model ensemble mean precipitation forecast (2017-2021) for days 8-14 (week-2 forecast) is used as a covariate in logistic regression models to predict fire risk in the Amazon. In a complementary experiment, a vegetation health index (VHI) is added to SubX precipitation forecasts as a predictor …

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The Demotechnic Index Of Nations, 1980-2018, Camden Rainwater May 2022

The Demotechnic Index Of Nations, 1980-2018, Camden Rainwater

Geosciences Undergraduate Honors Theses

The Demotechnic Index (DI) is a non-dimensional metric that is the scalar multiple of energy consumption over and above that required for mere subsistence of a national population. Thus, the DI is a measure of energy efficiency that scales a country’s industrial energy consumption (called the total technological energy) and the energy required to meet the metabolic demand of the population (called the total metabolic energy). The DI was created by scientist John Vallentyne in 1982, refined in 1994, but never gained popularity or wide use as a sustainability metric. The objective of this thesis was to re-evaluate the DI …

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Historical Underpinnings And Consequent Effects Of Labor Exploitation Of Mexican And Central Americans In The United States, Andrew Elkins May 2022

Historical Underpinnings And Consequent Effects Of Labor Exploitation Of Mexican And Central Americans In The United States, Andrew Elkins

World Languages, Literatures and Cultures Undergraduate Honors Theses

The experience immigrants have today working and living in the southern United States is defined by systems that have developed out of lingering racist attitudes and reactions toward these individuals. The flow of people across the U.S.-Mexico border has a long history, and it is characterized by patterns that have continued from early guest worker programs to the present-day flow of migrants, both legal and undocumented. Also continually present is the racialization of these migrants, which has often forced them to work and live as marginalized members of American society. This project will explore the establishment of Mexican American citizen …

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Multi-Trophic Biodiversity Increases With Increasing Structural Complexity Of Forest Canopy, Ayanna St. Rose May 2022

Multi-Trophic Biodiversity Increases With Increasing Structural Complexity Of Forest Canopy, Ayanna St. Rose

Graduate Theses and Dissertations

Understanding the effects of forest canopy structural complexity on multi-trophic diversity is critical for conserving biodiversity and managing land sustainably. But multi-trophic diversity is often ignored when making decisions about land management due to lack of cost- and time-effective methods to evaluate it. Here, we explored a new method based on widely available remote sensing data to quantify canopy structural complexity and its relationships with multi-trophic biodiversity at landscape scale using 32 forested sites of the National Ecological Observatory Network. We investigated the influence of vertical and horizontal structural complexity of forest canopy on multi-trophic (primary producers, herbivores (beetles), omnivores …

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Analysis Of Gentrification And Green Spaces In East Austin, Texas, Carly Fordyce May 2022

Analysis Of Gentrification And Green Spaces In East Austin, Texas, Carly Fordyce

Graduate Theses and Dissertations

Gentrification, the urban process that results from uneven development within cities, can cause unjust displacement of traditional, low-income residents in residential neighborhoods, and inequitable access to community services and benefits. Because of the negative social impacts that gentrification can have, many local governments and agencies have been known to attempt to mitigate changes by initiating different types of planning policies. Such policies usually apply changes in housing or zoning rules to enable lower-income residents to have access to housing and community amenities in the area. Another aspect resulting from gentrification that local government will try to rectify is low access …

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Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck May 2022

Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck

Graduate Theses and Dissertations

Global localization, in which an unmanned aircraft system (UAS) estimates its unknown current location without access to its take-off location or other locational data from its flight path, is a challenging problem. This research brings together aspects from the remote sensing, geoinformatics, and machine learning disciplines by framing the global localization problem as a geospatial image registration problem in which overhead aerial and satellite imagery serve as a proxy for UAS imagery. A literature review is conducted covering the use of deep learning convolutional neural networks (DLCNN) with global localization and other related geospatial imagery applications. Differences between geospatial imagery …

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Machine Learning For Modeling Wildfire Susceptibility At The State Level: An Example From Arkansas, Usa, Abdullah Al Saim, Mohamed H. Aly Mar 2022

Machine Learning For Modeling Wildfire Susceptibility At The State Level: An Example From Arkansas, Usa, Abdullah Al Saim, Mohamed H. Aly

Geosciences Faculty Publications and Presentations

Fire susceptibility modeling is crucial for sustaining and managing forests among many other valuable land resources. With 56% of its area covered by forests, Arkansas is known as the "natural state". About 1000 wildfires occurred and burned more than 10,000 acres each year during 1981-2018. In this paper, we use remote-sensing-based machine learning methods to address the natural and anthropogenic factors influencing wildfires and model fire susceptibility in Arkansas. Among the 15 explored variables, potential evapotranspiration, soil moisture, Palmer drought severity index, and dry season precipitation were recognized as the most significant factors contributing to the fire density. The obtained …

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Forced And Unforced Permafrost Changes In The Northern Hemisphere During 1901-2100, Hong Guo Dec 2021

Forced And Unforced Permafrost Changes In The Northern Hemisphere During 1901-2100, Hong Guo

Graduate Theses and Dissertations

Permafrost regions are very sensitive to rapid changes in climate and environment. In recent decades, there has been growing interest to better understand the permafrost degradation over the Northern Hemisphere in the context of human-induced climate change. Understanding permafrost dynamics is not only important for infrastructure but also for environmental protection in cold regions. In-situ permafrost measurements are important for assessing permafrost conditions. However, direct permafrost observations are sparse and asymmetrical in both spatial and temporal coverage. Active layer thickness (ALT) modeling is another approach that can overcome many of these limitations, but the models have large uncertainty in predicting …

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Direct Aerial Visual Geolocalization Using Deep Neural Networks, Winthrop Harvey, Chase Rainwater, Jackson Cothren Oct 2021

Direct Aerial Visual Geolocalization Using Deep Neural Networks, Winthrop Harvey, Chase Rainwater, Jackson Cothren

Industrial Engineering Faculty Publications and Presentations

Unmanned aerial vehicles (UAVs) must keep track of their location in order to maintain flight plans. Currently, this task is almost entirely performed by a combination of Inertial Measurement Units (IMUs) and reference to GNSS (Global Navigation Satellite System). Navigation by GNSS, however, is not always reliable, due to various causes both natural (reflection and blockage from objects, technical fault, inclement weather) and artificial (GPS spoofing and denial). In such GPS-denied situations, it is desirable to have additional methods for aerial geolocalization. One such method is visual geolocalization, where aircraft use their ground facing cameras to localize and navigate. The …

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Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung Jul 2021

Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung

Graduate Theses and Dissertations

Groundwater monitoring wells are commonly installed on a property as part of an environmental investigation to observe hydrological subsurface conditions, facilitate the collection of groundwater samples, and predict the flow of groundwater across a site. In addition to their installation, monitoring wells should be surveyed or mapped as accurately as possible. Traditional surveying techniques have employed the use of global navigation satellite systems (GNSS) technologies or other surveying equipment. A common surveying approach is to use real-time kinematic (RTK) GNSS to accurately measure the coordinates of each monitoring well on the site.In recent years, drones, or small unmanned aircraft systems …

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Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago Jul 2021

Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago

Graduate Theses and Dissertations

This dissertation contains a compilation of independently performed studies primarily focusing on the myxomycetes (plasmodial slime molds) from the Philippines and integrating local and worldwide data to demonstrate regional and global trends. The major themes include the following: (I) a review of the diverse group of spore-producing amoeboid protists, including the myxomycetes; (II-IV) diversity assessments in three different groups of islands in the Philippine archipelago; (V) mapping the myxomycetes found in the Philippines for databasing and analyzing the geocoded data; (VI) a study on regional boundaries, including the Philippines, using myxomycete species composition; and, (VII) creating a global species distribution …

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Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv Jul 2021

Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv

Graduate Theses and Dissertations

More than 38 % of United States’ rural land area was used for grazing (i.e., pastureland or rangeland) ruminant animals in 2017, constituting the largest private land use group. The expansive nature of these lands means that grazing and pasture management decisions have potential to impact water quality as well as profit margins. As a result, beef producers are under increased pressure from economic and environmental standpoints to limit application of nutrients beyond those required to grow the forage needed for animal consumption. At the same time, a large amount of nutrients is recycled back to pasture systems directly from …

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