Theses and Dissertations from UMD

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New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a give thesis/dissertation in DRUM

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    EXAMINING INTERACTIONS AMONG FUNGAL INFECTION, SLEEP, AND HOST DEFENSE IN POPULATIONS OF WORLDWIDE, SLEEP INBRED PANEL, AND MUTANT DROSOPHILA MELANOGASTER
    (2024) Nan, Mintong; St. Leger, Raymond; Entomology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Previous studies with mutant Drosophila melanogaster lines and the Drosophila Genetic Reference Panel (DGRP) reveal substantial variation in susceptibility to infection with Metarhizium anisopliae strain Ma549. These differences likely arise from variations in immunity, physiology, and behavior, yet the role of selection pressures in maintaining these disparities remains understudied. Using global Drosophila populations, the Sleep Inbred Panel (SIP), and sleep-deprived mutants, we investigated the interactions among fungal infection, sleep, and host defense. Testing 14,957 male and 15,287 female flies from 43 lines across 28 locations, we found that resistance to Ma549 correlates with latitudinal gradients in sleep duration, temperature, and humidity. Tropical populations may exhibit stronger defenses due to fungal diversity; however, the most disease-resistant males were also more susceptible to desiccation, indicating trade-offs between abiotic stress and disease resistance. Longer-sleeping males and virgin flies survived infections longer, and increased daytime sleep post-infection was particularly protective in resistant flies. These findings suggest that sleep and disease resistance are interrelated traits possibly shaped by clinal evolution. Using 10,917 males and 11,166 females selected for extreme long or short nighttime sleep duration, we found that short-sleepers, despite having fragmented sleep when healthy, outlived long-sleepers after Ma549 infection. Resistance differences were sex-specific: males were more resistant among short-sleepers, while females showed higher resistance among long-sleepers. Daytime sleep bout numbers correlated with dimorphic disease resistance. Additionally, Ma549 infection increased daytime sleep in both short- and long-sleepers, with short-sleeping males nearly matching long-sleepers in sleep duration post-infection. Virgins, regardless of sleep status, slept more and survived infection longer, indicating that sleep traits, sex, and mating status are closely linked to disease resistance. The study highlights that circadian rhythms influence sleep and immunity, with the sleep-deprived Shmns mutant failing to undergo sickness sleep and succumbing quickly to infection. Mutants with disrupted circadian rhythms (PER and CLK) also showed impaired sickness sleep; however, only the per gene offered protection against disease, while the Clk mutant had increased survival. Independent of mutant status, males slept more than females, and virgins slept more than mated flies, emphasizing the significance of circadian rhythms in sleep and disease resistance.
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    Razing the Bar: Coastal Resilience and Community Cohesion through Ecological Design
    (2024) Nivison, Erin Hamilton; Kelly, Brian; Architecture; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Separated by iron fences, dense trees and drastic changes in elevation, two seemingly close communities are divided by economic greed, a lack of urban planning and community engagement. Over the last two decades the shoreline along National Harbor, Maryland has transformed from abandoned plantation land to a revitalized urban center. Now home to the MGM Casino, Gaylord Convention Center, Tanger Outlet Malls, the iconic Capital Wheel, and million-dollar townhouses, National Harbor’s master plan has been realized into a dense economic hub. While it has grown extensively, it lacks connectivity to the surrounding suburbs of Fort Washington on a multitude of scales. On a macro scale, it is one of the few suburbs of DC that isn’t serviced by a metro line and on a micro scale it lacks porosity to neighboring developments. Iron fences aren’t the only issue Fort Washington is facing, with the continued effects of climate change, sea levels are expected to rise an additional two feet by 2100 and commercial and residential developments will be put at risk. While the Potomac River is finally showing signs of improvement after half a century of pollution from sewage, agricultural runoff and sediment runoff, how can we protect both the natural and built environments harmoniously?
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    MECHANISMS REGULATING GREENHOUSE GAS EMISSIONS AND SOIL CARBON STORAGE IN MID-ATLANTIC COASTAL PLAIN WETLANDS
    (2024) Stewart, Graham; Palmer, Margaret; Williams, Michael; Entomology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Wetlands are key components of the global carbon (C) cycle, storing significant amounts of C while emitting methane (CH4), a greenhouse gas. As wetland restoration emerges as a potential climate mitigation strategy, understanding the factors that influence wetland greenhouse gas exchange across land uses is essential for aligning management with ecology and biogeochemistry. This dissertation investigates variability in soil organic carbon (SOC) storage and CH4 flux in mid-Atlantic Coastal Plain wetlands, focusing on the roles of hydrology, vegetation, and land-use history in shaping underlying ecosystem processes.In Chapter 1, I surveyed SOC stocks across neighboring least-disturbed wetlands with similar vegetation and hydrogeomorphology and found substantial variation. Hydrologic regimes and relative topography partially explained variability, highlighting the importance of landscape heterogeneity in determining wetland C storage capacity. In Chapter 2, I measured CH4 fluxes across five dominant vegetation patch types in a freshwater wetland using a multi-scale approach. I found that vegetation patches had distinct CH4 signals throughout the growing season, likely driven by differences in the mechanisms that regulate fluxes. The magnitude of the CH4 source was linked to patch identity, suggesting that CH4 fluxes were properties of patch types, and that a patch-explicit representation may be needed for modeling and estimating wetland greenhouse gas exchange. In Chapter 3, I explored the temporal dynamics of CH4 flux across wetlands with different land-use histories, identifying key biophysical drivers at multiple time scales. I found that after two decades, CH4 dynamics in a restored wetland appeared to have converged with those at a natural wetland and diverged with those at a cultivated former wetland. Together, these findings demonstrate the importance of acknowledging and accounting for the inherent variability and context-specificity in wetland C dynamics and suggest that wetland management and restoration for climate mitigation requires a detailed understanding of wetland ecosystem processes.
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    Investigating the Microbial Diversity and Ecophysiology of Filamentous Cyanobacteria on the Susquehanna Flats, Chesapeake Bay
    (2024) Keller, Shayna Aryn; O'Neil, Judith M; Marine-Estuarine-Environmental Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The Susquehanna Flats is a biodiverse and resilient submerged aquatic vegetation (SAV) bed just below the mouth of the Susquehanna River in the Chesapeake Bay. The Susquehanna River, the largest tributary of the Chesapeake Bay, discharges more water than all other tributaries in the Bay combined. This makes the SAV bed at the Susquehanna Flats important for nutrient removal of the water discharged into the headwaters of the Bay. The Susquehanna Flats is also a unique part of the oligohaline portion of the Chesapeake Bay as it is one of the most prolific and diverse SAV beds that make up ~8% of SAV in the Chesapeake Bay. The SAV bed was devastated by Hurricane Agnes in 1972 and did not reappear until the early 2000s when an extended dry period and long-term reductions in nutrient loading facilitated its resurgence. Since then, it has recovered to be the most abundant and biodiverse SAV bed within the upper Chesapeake Bay. However, a nitrogen fixing filamentous Cyanobacteria, morphologically identified as Microseira (Lyngbya) wollei, has seasonally bloomed at the Susquehanna Flats since the early 2000s. Over the ensuing decade, anecdotal evidence suggested an overall increase of Cyanobacteria on the SAV beds on the Susquehanna Flats, which raised concerns about the impact of this growth on the resilience of the recovering SAV bed. Despite the consistent summer blooms, the filamentous Cyanobacterial mats and its microbiome at the Susquehanna Flats has not been molecularly identified and its characteristics have not been investigated to date. Additionally, new DNA sequencing technology has become more readily available, and the identification and taxonomy of the Cyanobacteria family Oscillatoriaceae, of which Microseira (Lyngbya) wollei is a part of, has become more refined and organized. Due to this, molecularly identifying the filamentous Cyanobacterial mats and investigating its microbiome has become much easier with current methods that can provide detailed taxonomic information that can help implement management strategies. Using PacBio long-read amplicon sequencing on the 16S rRNA genes and Illumina short-read amplicon sequencing on the nifH genes of the filamentous Cyanobacteria mats and a newly observed mucilaginous Cyanobacteria mat collected at the Susquehanna Flats, the host organisms and microbial compositions were revealed. The results indicate that the dominant filamentous Cyanobacterial mat host is Microseira (Lyngbya) wollei and these mats contain a complex microbial community. The host of a newly observed mucilaginous mats was revealed to be a novel strain of Phormidium sp. To understand the basic nutrient requirements and preferences of the Microseira (Lyngbya) wollei at the Susquehanna Flats, nutrient bioassay growth and nitrogen fixation experiments were initiated to assess its growth and nitrogen fixation qualities. Samples received nutrient treatments of nitrate, phosphate, nitrate + phosphate, and ammonium compared to the growth of control samples that did not receive nutrient treatments in the summers of 2022 and 2023. The results demonstrated that Microseira (Lyngbya) wollei has variable growth rates, with higher rates in the mid to late part of the summer season, with significant growth stimulations from added nitrogen and phosphorus. In terms of nitrogen fixation, rates were higher in the beginning of the season, with significant stimulation with phosphorus additions. It is likely that lower rates measured at the end of the season, were due to the increased availability of regenerated nitrogen within the system. More detailed investigation of the seasonal nutrient dynamics are warranted to fully understand the dynamics between these Cyanobacterial mats and the SAV beds.
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    MOSQUITOES AND VEGETATION ACROSS SOCIOECONOMIC GRADIENTS
    (2024) Rothman, Sarah; Leisnham, Paul T; Environmental Science and Technology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    The biomass and composition of local vegetation is a key resource for juvenile mosquitoes, affecting a suite of life history traits including survival, development rate, and body size. In cities across the United States, both plant and mosquito communities vary with socioeconomics. Vegetation is typically more abundant and biodiverse in high-income neighborhoods, whereas mosquitoes are often more numerous and more likely to vector diseases in low-income neighborhoods. While prior work has examined the effects of plant resources on mosquitoes, my dissertation evaluates how these communities interact across a socioeconomically diverse urban landscape. Chapter 1 is a scoping review of current knowledge of the individual relationships between mosquitoes, plants, and socioeconomics in cities. In Chapter 2, I describe fine-scale vegetation surveys on socioeconomically diverse residential properties in Baltimore, MD and Washington, D.C. that revealed less canopy cover, more vines, and more non-native plant species on lower-income blocks. In Chapter 3, I used leaves from the most frequently observed canopy species on low- and high-income blocks, and species common to both, as detrital resource bases in competition trials between two dominant urban mosquitoes, Aedes albopictus and Culex pipiens. Population performance for both species was greater when reared with characteristically low-income than characteristically high-income detritus, suggesting that socioeconomically diverse plant communities are an important factor in shaping urban mosquito communities. Overall, population performances were greatest when mosquitoes were reared in the regionally representative detritus, and I used this detritus base in Chapter 4 to evaluate the effects of varying temperatures. Aedes albopictus population performance was optimized at higher mean temperatures characteristic of low-income blocks, while C. pipiens performance was best at lower mean temperatures characteristic of high-income blocks. Population performance was often lower, however, when temperatures fluctuated around a high or low mean than when the temperature was stable, suggesting that laboratory studies may need to mimic field conditions to obtain applicable results. My research provides a deeper understanding of the mechanisms behind previously observed relationships, and may help guide management and policy strategies to address environmental injustices and public health threats.
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    The Impact of Marsh Sill Living Shorelines on Coastal Resilience and Stability: Insights from Maryland's Chesapeake Bay and Coastal Bays
    (2024) Sun, Limin; Nardin, William WN; Palinkas, Cindy CP; Marine-Estuarine-Environmental Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Climate change and coastal urbanization are accelerating the demand for strategies to reduce shoreline erosion and enhance coastal resilience to storms and sea-level rise. Generally adverse ecological impacts of hardened infrastructure (e.g., seawalls, revetments, and dikes) have led to growing interest in alternative solutions. Living shorelines, increasingly recognized as sustainable Natural and Nature-Based Features (NNBFs; or Nature-Based Solutions (NBSs)) for their dual benefits of stabilizing shorelines while preserving or restoring coastal habitats, represent a promising approach to shoreline stabilization. Marsh sill living shorelines (created marshes with adjacent rock sills) have been extensively constructed in the Chesapeake Bay, notably in Maryland. Despite their popularity, significant uncertainties remain regarding their effectiveness and resiliency, especially during high-energy events. This dissertation investigates the dynamics of marsh sill living shorelines in Maryland’s Chesapeake Bay and Coastal Bays, aiming to fill knowledge gaps and inform effective shoreline stabilization strategies. First, the dissertation examines marsh boundary degradation into open water during high-energy conditions, contrasting mechanisms between living shorelines and natural marshes. Field surveys and numerical modeling reveal that while natural marshes experience erosion through undercutting and slumping at the scarp toe, living shorelines degrade primarily through open-water conversion at the marsh boundary behind rock sills. Differences in sediment characteristics and vegetation between the two ecosystems drive variations in marsh boundary stability between them. Next, the study assesses the impacts of rock sill placement on sediment dynamics and shoreline stability, highlighting the role of tidal gaps in enhancing sediment flux to the marsh and increasing vertical accretion during high-energy events. Numerical modeling demonstrates that while continuous sills mitigate erosion at the marsh edge of living shorelines, they diminish sediment deposition on the marsh platform compared to segmented sills with tidal gaps. Finally, the research identifies key factors driving marsh boundary degradation that are needed to assess the stability of marsh sill living shorelines. Analysis of eco-geomorphic features and hydrodynamics across 18 living shoreline sites reveals that metrics such as the Unvegetated/Vegetated Ratio (UVVR) and sediment deposition rate often used to assess the resilience of natural marshes also apply to the created marshes of living shorelines. Multivariate analyses further reveal that the Relative Exposure Index (REI) and Gap/Rock (G/R) ratio are crucial predictors of shoreline stability in marsh sill living shorelines, and thus should be particularly considered in shoreline design. By integrating remote sensing, field observations, and numerical modeling, this dissertation advances the understanding of sediment dynamics and stability in living shorelines and provides actionable insights for effective shoreline design and management to promote coastal resilience.
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    Methane Biogeochemistry and Microbial Communities in Natural and Restored Freshwater Depressional Wetlands
    (2024) Hamovit, Nora David; Yarwood, Stephanie A; Behavior, Ecology, Evolution and Systematics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Wetlands are the largest natural source of methane (CH4), a potent greenhouse gas. Wetland CH4 emissions are dependent on rates of microbial CH4 production (methanogenesis) and consumption (methanotrophy). These processes vary spatially and temporally with environmental conditions, edaphic characteristics, and microbial community structure, making it difficult to predict wetland CH4 emissions. This high variability can be further pronounced in restored wetlands that have undergone environmental and edaphic disturbances. The following work aims to understand this variability by assessing patterns of methanogenesis and methanotrophy, and their associated microbial communities, across natural and restored freshwater depressional wetlands on the Delmarva Peninsula (USA). Sites addressed in this work were restored from agricultural land between 1986 and 2004 through multiple programs funded by the United States Department of Agriculture (USDA). In the first set of experiments, we identified a high abundance of active acetoclastic methanogens in intact core incubations from a restored wetland suggesting a higher potential for methanogenesis in situ compared to the natural wetland assessed. The co-occurrence of active methanogens and Fe-reducing bacteria in these restored wetland cores contradicted the hypothesis that loss of competition may allow methanogens to be the primary users of acetate. Following assessments across vegetative-hydrologic zones in a series of restored wetlands of varying ages, and their natural counterparts, highlighted vegetation type and extent as a driver of methanogen community abundance, composition, and activity. In turn, restored wetlands showed elevated potentials rates of methanogenesis compared to natural sites. Potential rates of methanotrophy (aerobic and anaerobic), however, were also elevated in restored wetlands, which could constrain CH4 emissions in situ. Variability of environmental conditions (ie. hydrology and vegetation) and edaphic measures (ie. soil organic matter (SOM)) across all sites sampled are reflected in distinct microbial community composition and CH4 biogeochemistry. Clear patterns of SOC accumulation and CH4 biogeochemistry with restoration age were not observed for these wetlands, and variability in environmental conditions and edaphic measures across the sites (restored and natural), emphasize the need for continued monitoring and maintenance of the wetlands. Our results suggest efforts to manage herbaceous vegetation extent and maintain regular seasonal hydrology in future restorations may help prevent high potentials for CH4 production, and thus emissions.
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    EXPLORING AND ASSESSING LAND-BASED CLIMATE SOLUTIONS USING EARTH OBSERVATIONS, EARTH SYSTEM MODELS, AND INTEGRATED ASSESSMENT MODELS
    (2024) Gao, Xueyuan; Wang, Dongdong; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Anthropogenic greenhouse gas (GHG) emissions have led the global mean temperature to increase by approximately 1.1 °C since the industrial revolution, resulting in mass ice sheet melt, sea level rise, and an increase in extreme climate events, and exposing natural and human systems to uncertainties and the risks of unsustainable development. Meeting the Paris Agreement’s climate goal of keeping temperature increases well below 2 °C — even 1.5 °C — will require removing CO2 from the atmosphere beyond reducing GHG emissions. Therefore, carbon dioxide removal and the sustainable management of global carbon cycles are one of the most urgent society needs and will become the major focus of climate action worldwide. However, research on carbon dioxide removal remains in an early stage with large knowledge gaps. The global potential and scalability, full climate consequences, and potential side effects of currently suggested carbon sequestration options — afforestation and reforestation, bioenergy with carbon capture and storage (BECCS), direct air carbon capture — are uncertain. Moreover, although about 120 national governments have a net-zero emission target, few have actionable plans for developing carbon dioxide removal.This dissertation examines two major categories of land-based carbon removal and sequestration methods: nature-based solutions that rely on the natural carbon uptake of the land ecosystem, and technology-based solutions, especially BECCS. These two options were investigated using four studies with satellite and in-situ observations, Earth system models (climate models), and integrated assessment models (policy models). Study 1 provides evidence that land ecosystem is an important carbon sink, Study 2 assesses the carbon sequestration potential of forest sustainable management via numerical experiments, Study 3 monitors recent tropical landscape restoration efforts, and Study 4 extends to BECCS and explores the impacts of future climate changes on its efficacy. Overall, this dissertation (1) improved monitoring, reporting, and verification of biomass-based carbon sequestration efforts using Earth observations, (2) improved projections on biomass-based carbon sequestration potential using Earth system models and socio-economic models, and (3) provided guidance on scaling up biomass-based carbon sequestration methods to address the climate crisis.
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    Monitoring Aboveground Biomass in Forest Conservation and Restoration Areas Using GEDI and Optical Data Fusion
    (2024) Liang, Mengyu; Duncanson, Laura I; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Forests play a critical role in the global carbon cycle by sequestering carbon in the form of aboveground biomass. Area-based conservation measures, such as protected areas (PAs), are a cornerstone conservation strategy for preserving some of the world's most at-risk forest ecosystems. Beyond PAs, tree planting and forest restoration have been lauded as solutions to combat climate change and criticized as ways for polluters to offset carbon emissions. Consistent monitoring and quantification of forest restoration can impact decisions on future restoration activities. In this dissertation, I utilized a fusion of remote sensing assets and a combination of remote sensing with impact assessment techniques, to obtain objective baseline information for reconstructing past forest biomass conditions, and for monitoring and quantifying the patterns and success of forest regrowth in areas that underwent different forest management interventions. This overarching research goal is approached in three studies corresponding to chapters 2-4. In chapter 2, PAs’ effectiveness in storing biomass carbon and preserving forest structure is assessed on a regional scale using Global Ecosystem Dynamics Investigation (GEDI) lidar data in combination with a counterfactual analysis using statistical matching. This chapter provides an assessment of the reference condition of the biomass carbon storage capacity by one of the most stringent forest management means. The study finds that analyzed PAs in Tanzania possess 24.4% higher biomass densities than their unprotected counterparts and highlights that community-governed PAs are the most effective category of PAs at preserving forest structure and aboveground biomass density (AGBD). In chapter 3, empirical models are developed to link current (2019-2020) AGBD estimates from the GEDI with Landsat (2007-2019) at a regional scale. This will allow both current wall-to-wall biomass mapping and estimation of biomass dynamics across time. We demonstrate the utility of the method by applying it to quantify the AGBD dynamics associated with forest degradation for charcoal production. In chapter 4, the same modeling framework laid out in chapter 3 will be used to derive AGBD trajectories for 27 forest restoration sites across three biomes in East Africa. To assess the effectiveness of and compare Assisted Natural Regeneration (ANR) and Active Restoration (AR) in enhancing forest AGBD growth compared to natural regeneration (NR), we used staggered difference-in-difference (staggered DiD) to analyze the average annual AGBD change. We controlled for pre-intervention AGBD change rate between AR/ANR and NR and estimated the effectiveness with explicit consideration of intervention duration. This study finds that AR and ANR outperform NR during long-term restoration. Using the most suitable restoration interventions in each biome and timeframe, 4% suitable areas could enhance 2.40 ± 0.78 Gt (billion metric tons) forest carbon uptake over 30 years, equivalent to 3.6 years of African-wide emissions. Overall, this dissertation develops remote sensing methodological frameworks for using GEDI data and its fusion with Landsat time series to quantify and monitor forest AGBD. Moreover, by combining remote sensing-derived AGBD dynamics with impact assessment techniques, such as statistical matching and staggered DiD, the dissertation further assesses and compares different conservation and restoration means’ effectiveness in increasing AGBD and carbon uptake in forests. The dissertation therefore advances the applications of state-of-the-art remote sensing data and techniques for sustainably managing forests towards climate mitigation targets.
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    ODONATA SPECIES COMPOSITION IN AGROECOSYSTEMS: PRELIMINARY SURVEYS WITH AN EMPHASIS ON POTENTIAL FOR BIOLOGICAL CONTROL ON FARMS
    (2024) Hartman, Margaret Elizabeth; Lamp, William O; Entomology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Adult dragonflies and damselflies are efficient aerial predators that provide ecosystem service as consumers of pest arthropods. However, their role as predators of agricultural pests in agroecosystems has been understudied. The prey of odonates has been historically difficult to quantify but new molecular methods can make diet analysis easier. I conducted visual encounter surveys across four farms in 2020 and 2021. I found odonates were present on all farms surveyed but there were significant differences in abundance and richness. Fecal pellets were collected from 94 odonates in 2021 for prey DNA analysis using next generation sequencing. Nine odonate samples produced exceptional libraries, resulting in a large quantity of identifiable prey sequences. This preliminary study can help future researchers develop best practices for maintaining healthy farm water bodies and optimizing fecal DNA analysis methodology to better understand odonates’ potential for agricultural pest suppression.