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ACCEPTED ABSTRACTS

29 oral presentations and 15 poster presentations have been accepted for the 11th Annual Student Research Forum. See what's in store below!

Stressed and depressed: coping with climate change (8a - 9a)

Building urban resilience to climate change with nature-based solutions in coastal cities in the Mexican coast of the Gulf of Mexico 

Ulsia Urrea Marino(1*), Katya Wowk(1), Coral Lozada(1) 

(1)Coastal Resilience Group, Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi 

          The Gulf of Mexico (GoM) is a semi-closed sea shared by Cuba, Mexico, and the USA. These countries have managed the Gulf individually while implementing cross-border efforts to manage it jointly. However, no project focuses on building resilience to climate change from a transboundary perspective. Urbanization is a complex socioeconomic process that transforms formerly natural areas into densely populated human settlements, so their management is critical in the current context of climate change. The impacts caused by climate change in cities located in coastal plains, such as those present in the GoM, could be exceedingly severe, particularly sea-level rise and flooding. Cities can face the effects caused by climate change by adopting actions that allow them to strengthen their resilience. Among the existing actions, nature-based solutions (NbS) have been incorporated into urban planning design and implementation agendas with encouraging results. Through a Mixed Methods complex design this work aims to identify the NbS helping to strengthen the resilience strategies in the context of climate change in ten Mexican coastal cities in the Gulf of Mexico with 100,000 or more inhabitants through analyzing urban instruments by using content analysis from 2002 to 2022. The urban instruments are organized into five categories: i) Planning and/or Ordination, ii) Management, iii) Tax, iv) Democratic Participation, and v) Monitoring and Evaluation; whereas to conduct the content analysis will be use four rubrics: A) Resilience Pillars, B) Climate Hazards, C) Landscape Units, and D) NbS employed in coastal cities focused on adapting to floods and sea level rise. The expected results of the work are to identify the common, at the same time unique NbS that the coastal cities in the Gulf of Mexico have been using on their urban planning process. 

Keywords: mixed methods, case study, explanatory sequential design, storm surge, adaptation 

 

Augment Reality CoastGuard: Assisting coastal resilience through human-autonomous systems interaction 

Dhruti Joshi(1*), Jose Baca(2) 

(1)Department of Computer Science, College of Engineering and Computer Science, Texas A&M University-Corpus Christi; (2)Department of Engineering, College of Engineering and Computer Science, Texas A&M University-Corpus Christi 

          Coastal regions face increased vulnerability to hazards such as hurricanes, storms, tsunamis, rising sea levels, etc. When these events occur, it's often the coastal communities that suffer the most, with consequences ranging from property damage to the loss of lives and livelihoods. Enhancing coastal resilience is crucial in the face of these challenges. It involves fortifying coastal areas and communities to better withstand and recover from the impacts of extreme events and environmental changes. Our research seeks to bridge the gap between human intelligence and machine capabilities to make coastal areas more resilient i.e., (1) Augmented Reality (AR) to assist the operators in visualizing coastal environments, and (2) AR interface to assist in controlling Teams of Intelligent Robots in organic way. The AR enhances coastal resilience by improving decision-making during disasters through clearer visualizations of coastal environments. By harnessing cutting-edge technologies such as augmented reality (AR), intelligent autonomous robots, and advanced data integration, we aim to empower coastal communities with tools, strategies and technologies that enhance safety and efficiency before, during, and after disasters. Through AR, individuals gain a clearer understanding of their coastal surroundings, which can significantly improve decision-making in high-stress situations. Teams of Intelligent robots facilitate faster, more effective communication, data collection and collaboration during disaster response efforts. Advanced data integration helps create a more intuitive and natural interaction between humans and machines, reducing cognitive overload. Machine Learning enhances the performance of these systems, enabling them to continuously improve and adapt, making them invaluable assets in disaster management. Natural Language Processing (NLP) further simplifies communication, ensuring that people and machines can work together seamlessly. In essence, our research endeavors to make coastal communities more resilient by providing them with the technologies to respond swiftly and effectively to coastal hazards and climate-related challenges. 

Keywords: autonomous system, Augmented Reality, coastal resilience 

 

Catastrophic freeze-disturbance effects on biomass allocation of Avicennia germinans on the Texas Gulf Coast 

Maxwell Portmann(1*) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          In response to a warming climate, many plant species are encroaching poleward into newly available habitats. Coastal wetlands are undergoing a regime shift in species composition from herbaceous salt marsh species to woody mangrove species at rates dependent on winter temperature, precipitation, salinity, and nutrient level. On the Texas Gulf Coast, Avicennia germinans is encroaching upon areas dominated by Spartina alterniflora and Batis maritima. In February 2021, Winter Storm Uri caused top-kill or plant mortality of A. germinans with greater negative effects in more northern regions where minimum temperatures were generally lower. Subsequent root decomposition may increase erosion and shoreline retreat. Our objective is to understand how biomass allocation influences recovery after a major disturbance. We will measure belowground biomass recovery rates using root ingrowth cores and compare it to aboveground biomass recovery rates using allometric modeling based on stem and canopy measurements obtained in the field. The root:shoot (R:S) biomass allocation ratio will be compared across a freeze disturbance gradient. Sediment core samples will be taken at each site to characterize sediment conditions. Our findings will contribute to the knowledge of mangrove restoration and conservation, plant biomass allocation theory, and root ingrowth core methodology by comparing the influence of substrate type on root growth. We hypothesize that: (1) Root:Shoot (R:S) biomass allocation ratio will decrease (less roots to shoots) with greater freeze-disturbance effects; (2) If N-availability is different between sites, R:S biomass allocation ratio will decrease (less roots to shoots) with increasing N-availability, thus supporting OPT; (3) Root ingrowth cores containing sphagnum peat moss will have lower root productivity compared to local substrate cores due to lower soil bulk density, although variability will be less in the common sphagnum peat moss cores; and (4) Root biomass will increase with increasing soil bulk density. 

Keywords: mangrove recovery, root biomass, above-ground biomass, soil stability 

 

Protecting coral reefs from land to sea: Insights from Montipora capitata tolerance thresholds in Kāneʻohe Bay, Hawaiʻi

Alexandra M. Good(1*), Ashleigh Epps(1), Victoria Blesa(1), Maile Coberly(2), Kuʻulei S. Rodgers(2), Nancy G. Prouty(3), Curt D. Storlazzi(3), Keisha D. Bahr(1) 

(1)Department of Life Sciences, College of Life Sciences, Texas A&M University-Corpus Christi; (2)University of Hawaiʻi, Hawaiʻi Institute of Marine Biology, Kāneʻohe; (3)US Geological Survey, Pacific Coastal and Marine Science Center 

          Human activity on land contributes to adverse consequences in the sea; therefore, land management actions could enhance coral reef resiliency. Over 60% of coral reefs are negatively affected by local human activities, and a land-to-sea approach is widely used to mitigate stressors at a local scale. Across the Hawaiian Islands, there is a significant positive relationship between watershed health and the adjacent reef. Coral reefs surrounding areas with high human population density are suffering from compromising sedimentation levels due to coastal development and land alteration. However, there is an extensive research gap in how key species respond to land-based sedimentation and how the impact will cascade with increased human pressure. Previous research in Hawai’i proved coral biological response to increased temperature and acidification levels is species-specific, and generalizations regarding community response to environmental change will not lead to effective conservation. Using the land-to-sea approach, this project aims to quantify the differences in the species-specific tolerance thresholds of Montipora capitata from two different watersheds in Kāneʻohe Bay, HI (low-impact vs. high-impact). This research aims to quantify the future anthropogenic influence on M. capitata by evaluating the interaction of local sedimentation and global ocean warming stressors at the organismal level. Due to our rapidly changing climate, predicting how future environmental parameters will affect critical reef-building species’ resiliency will generate efficient restoration and conservation of these critical ecosystems. This study will provide a substantial dataset for further developing models evaluating the future impact of local and global environmental stressors on coral reefs worldwide.    

Keywords: stressors, resilience, anthropogenic influence, respirometry, climate change 

 

High CO2 stress on coral reefs – insights into species-specific responses and microenvironmental fluxes 

David Armstrong(1*), Conall McNicholl(2), Keisha D. Bahr(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Hawai'i Insititute of Marine Biology, University of Hawai'i at Manoa 

          Coral reefs support an incredible amount of biodiversity within their unique marine ecosystems and serve as the foundation for ecological processes essential in supporting ocean life. Two highly productive processes are growth via synthesizing calcium carbonate and photosynthesis through internal autotrophic algae. Corals facilitate these processes with ions and gases in the seawater, which concentrate at the surface of the coral. This concentration forms a microlayer of seawater surrounding the coral and is essential for facilitating growth and photosynthesis. However, our oceans are changing at an unprecedented rate, with the increase of anthropogenic CO2–termed ocean acidification, resulting in great uncertainty for these essential ecosystem processes. We utilized specialized microsensors to sample the microenvironment surrounding two coral species exposed to high pCO2 conditions. These studies showed interspecific differences in concentration fluxes under high pCO2 stress. Allowing us to better understand species-specific tolerances caused by regulation of this microenvironment. 

Keywords: microsensors, ocean acidification, boundary layer 

Population Health, Diversity, and Management (8 a - 9 a)

Fine-scale genetic population assessment of eastern oysters for aquaculture, fisheries management, and restoration 

Allison Weber(1*), Joseph Matt(1), David Portnoy(1), Christopher Hollenbeck(1 )

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          The eastern oyster (Crassostera virginica) is one of the most ecologically and economically valuable species within the Gulf of Mexico. Previous genetic studies have found the presence of two distinct genetic groups within Texas waters that co-occur within a “transition zone” spanning from the Upper Laguna Madre to Aransas Bay. This distribution of genotypes has also suggested the possibility for hybridization in this area. This study aims to improve the understanding of genetic differentiation that is vital for the management of eastern oyster resources in the state. A cost-effective microhaplotype panel will be designed using genotyping-in-thousands (GT-seq) and individuals will be collected in a spatially continuous fashion within the bays spanning the transition zone. The panel will be used to map at a fine spatial resolution the genetic transition zone between Texas populations. Results are expected to show two distinct populations that correlate with the previously identified groups and hybrid individuals bridging the two clusters and will be used to inform oyster aquaculture management and guide conservation and restoration strategies for wild oyster populations threatened by environmental and anthropogenic stressors. The results will also help to address additional questions regarding hybrid individuals, including their reproductive capabilities and genetic incompatibilities. 

Keywords: population genetics, oyster aquaculture 

 

Capturing Caribbean colors: Using visible coral coloration to monitor Gulf of Mexico and Caribbean reef 

Casey L. Gallagher(1*), Keisha D. Bahr(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          Corals are sessile cnidarians that host algae, called Zooxanthellae (Symbiodinium spp.), within their tissue to obtain nutrients via photosynthesis. Individual colonies, both within and across species, can host many types of zooxanthellae. This causes variation in visual pigmentation, thus creating a vast hue (color) spectrum. Coral of the same species within different environmental conditions may require varying concentrations of specific symbiont species to receive optimal nutrients, making the saturation (richness) range also broad. Saturated pigmentation in coral is typically associated with increased algal concentration within coral tissues. However, this mutualistic symbiosis is sensitive and can be affected by small changes in the environment. This disruption can cause coral bleaching, which can impair the colonies’ ability to obtain nutrients. It is the fastest indicator that a reef system is declining in health. Therefore, understanding the relationship between color spectrum and health in corals is necessary for coral reef conservation. This project will address the fundamental question: What defines a healthy color spectrum for Gulf of Mexico and Caribbean reef-building corals? This can be achieved by using image-analyzing software to identify hue and saturation values of standardized coral images, then comparing the values to corals with known healthy coloration using other health metrics (e.g., photosynthetic rates). Resources will be allocated to programming an algorithm that can automatically acquire hue and saturation values of these images, greatly decreasing the manual computation time to acquire these values. Using this approach, this project will create a health-identifying color card for these important reef-building corals, which can be utilized by public aquaria, marine conservationists, and citizen scientists. Results will help establish public-driven reef databases and multi-spectral optic surveying methods. Increasing our understanding of healthy color spectrums will revolutionize conservation methods for these important reef habitats. 

Keywords: Scleractinia, observation, colorimetry, collaboration, healthiness 

 

Predicting West Nile Virus risk zones: An integrated GIS approach 

Madhukar Kuchavaram(1*) 

(1)Department of Engineering, College of Engineering and Computer Sciences, Texas A&M University-Corpus Christi 

          West Nile Virus (WNV), primarily transmitted by Culex mosquitoes, continues to be a public health concern. Predicting the spatial prevalence of these vectors is instrumental for effective disease containment and prevention strategies. To this end, this project employs data sourced directly from the Open Weather API platform, ensuring real-time and accurate environmental information. This weather data is seamlessly integrated with other environmental variables such as NDVI, Land surface elevation, built settlements, Night-time lighting, population demographics, Global Aridity Index, and Potential Evapotranspiration, all housed in a PostgreSQL database. Using ArcGIS Pro, we synthesized these data layers, creating a foundation for the application of the MaxEnt machine learning model, an established tool for species distribution predictions. The model stands out due to its dynamic update capability, adjusting Culex distribution predictions to match the most recent weather data from Open Weather API. Automation, achieved through Python scripting, ensures a smooth transition of data from the database, through MaxEnt, and back into ArcGIS. The results are then disseminated via ArcGIS Online and a user-friendly dashboard, allowing stakeholders timely insights into evolving WNV risk zones. Additionally, the model provides an uncertainty metric, instilling confidence in its predictions. By marrying real-time weather data from Open Weather API with state-of-the-art modeling and GIS tools, we've forged a potent tool for timely decision-making in the fight against WNV. 

Keywords: West Nile Virus, GIS, spatial analysis, disease control, MaxEnt model 

 

Prescription pharmaceuticals detected in dolphin blubber 

Anya Isabelle Ocampos(1*), Makayla Guinn(1), Christiana Wittmaack(2), Carrie Sinclair(3), Justin Elliott(4), Hussain Abdulla(4), Dara N. Orbach(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Hydrosphere; (3)NOAA Southeast Fisheries Science Center-Marine Mammal and Turtle Division; (4)Department of Physical and Environmental Sciences, College of Science, Texas A&M University-Corpus Christi 

          Pharmaceuticals are used to diagnose, treat, cure, and prevent diseases in human and veterinary medicine. Although they generally improve the health of humans and animals, pharmaceuticals taken in excess can result in immune resistance, immunosuppression, drug dependency, and mortality, among other side effects. Pharmaceutical contaminants have been increasingly discovered in freshwater and marine ecosystems, likely from the discharge of inadequately treated sewage effluent in wastewater facilities. The presence of pharmaceutical drugs in aquatic ecosystems is concerning due to possible health risks to marine biota and humans who unknowingly ingest pharmaceuticals via contaminated seafood. Dolphins are apex predators often used as sentinel species to assess the health of marine ecosystems because their lipid-rich blubber stores contaminants. For example, several previous studies have detected high concentrations of persistent organic pollutants in the blubber of common bottlenose dolphins (Tursiops truncatus). We used blubber samples collected by remote biopsy from common bottlenose dolphins in the Texas Coastal Bend and Mississippi Sound and samples collected from local post-mortem dolphins to explore and compare the presence and concentrations of pharmaceutical contaminants in the marine ecosystem. Targeted analysis of blubber samples using ultra-performance liquid chromatography coupled with OrbiTrap Fusion mass spectrometry (UPLC-OTMS) confirmed the detection of a narcotic (fentanyl) and a muscle relaxant (carisoprodol) in several samples. Both pharmaceuticals are present in both Texas and Mississippi sites, but fentanyl was found primarily in samples from the Texas populations. Our study is the first to find evidence of human pharmaceuticals in dolphins and has important implications for understanding the local ecosystem's health and its inhabitants' risks. Future research may be directed towards determining absorption methods of pharmaceuticals in dolphins, analyzing the quality of local wastewater treatment plants, and assessing pharmaceutical abuse in nearby human populations. 

Keywords: prescription drugs, contamination, marine mammals 

 

Diversity of benthic macrofauna along the northwestern slope of Cuba 

Samantha Schiereck(1*), Paul Montagna(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          The Gulf of Mexico (GoM) deep-sea, defined as depths > 200 m, provides vital ecosystem functions, serves as the basis for food webs of economically and environmentally important fisheries, and contains areas of high biodiversity. Diversity baselines offer essential information for assessing the current state of an ecosystem, the damage, and monitoring recovery following disturbances. While data has been collected for the north and southwestern GoM, very little information is available for the southeastern region along the slope of Cuba. Therefore, the objective of this study is to establish baseline data on macrofauna diversity and compare it to north and northwest Gulf of Mexico sites. Sediment samples were collected in 2017 at nine stations (974–1580 m depth) during a research cruise aboard the R/V Weatherbird. Oceanographic data indicated a stratified water column typical of an oligotrophic ocean and no evidence of hypoxia. Sediment texture and composition indicated a west-east gradient likely determined by the eastern part's downslope transport of terrigenous material. Heavy metals (Cu, Hg, Pb, and Zn) varied differently across the region. The biogeochemistry indicates most sites were mildly affected by anthropogenic stressors, but the site closest to Havana showed stronger impacts by metals and organic materials. Given the steep profile of the slope and narrow shelf margin, it is expected that coastal impacts affect the deep-sea benthic assemblages. 

Keywords: benthic, multicorer, loop-current 

Habitat Conservation (9:15 a - 10 a)

Texas Coastal Bend treatment plant impacts on bottlenose dolphins (Tursiops truncatus

Leala Punjabi(1*), William McGlaun(2), Dara N. Orbach(1 )

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Texas SeaLife Center 

          Volatile organic materials (VOMs) discharged from treatment plant facilities into the water can affect marine life development and survival. In Corpus Christi Bay and Redfish Bay, Texas, 45 chemical and wastewater treatment plants are located proximate to the water. Dolphins are commonly used as bioindicators of ecosystem health because they are apex predators that store contaminants in their lipid-rich blubber. We will compare the behavioral states of common bottlenose dolphins (Tursiops truncatus) in Corpus Christi Bay and Redfish Bay observed < 1 km and ≥ 1 km from treatment plant sites between 2018 and 2023. Dolphins are predicted to: (1) engage in slow subdued behavioral states (rest, slow travel, mill) when < 1 km from treatment plants and quick active behavioral states (fast travel, play, mate) when ≥ 1 km; (2) forage less when < 1 km from treatment plants. During 70 boat-based surveys, the behavioral states of dolphin groups and global positioning system (GPS) coordinates were recorded for each group encountered. The locations of treatment plants and dolphin groups will be plotted using ArcGIS and the distance measuring tool will be used to identify which groups were sighted within or beyond 1 km from treatment plants. Contingency tables and goodness of fit tests will be used to assess the relationship between dolphin behavioral states and chemical/wastewater treatment facilities. Understanding potential impacts of treatment plants on the behavioral states of dolphins in the Texas Coastal Bend can be applied in selecting future locations for plant development that are not important local dolphin habitats. 

Keywords: cetaceans, anthropogenic impacts, benzene, toluene 

 

Birds in the cacao: Examining how agroforests provide habitat for tropical birds 

Rebecca Davis(1*), Shawn McCracken(1,2)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Third Millennium Alliance 

          The Pacific Forest of Ecuador is one of the most biologically important ecosystems in Latin America. It is also an important area for agriculture and successful conservation efforts must address the needs of both humans and wildlife. Agroforestry is a land-use system that can balance human and wildlife needs by growing crops amongst trees, thereby providing food and income while keeping the forest relatively intact. Potential benefits of agroforestry are due to its structural complexity (variety of vertical vegetation strata). However, the threshold complexity that will benefit birds in the Pacific Forest is not known. Therefore, I am comparing the species assemblages in agroforestry plots of varying ages and structural complexity. This study is in the Jama-Coaque Reserve of western Ecuador. I sampled the bird species assemblages using automated recording units called AudioMoths. The AudioMoths were deployed during the wet and dry seasons in twenty-seven sites which were either fallow pastures, newly planted agroforestry plots, or older agroforestry plots. Forest structural complexity was characterized by canopy cover, canopy height, number of shrubs and trees, and density of the understory. Song spectrogram analysis will be done with RFCx Arbimon to identify recorded birds and I will calculate the species richness and diversity in each land type. I predict assemblages of low forest complexity (pastures and young agroforestry) to have lower species diversity, while assemblages of higher complexity (older agroforestry and undisturbed forest) will contain higher diversity. By comparing early-stage agroforestry plots to later-stage, this study will identify the structural complexity needed for the greatest benefit to native birds, and therefore overall biodiversity. 

Keywords: bioacoustics, conservation, forest farming, reforestation 

 

Flora and function: A multi-taxa assessment of the Ingleside Sandsheet pond habitat to inform and support conservation 

Bria Marty(1*), Shawn McCracken(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          Between Corpus Christi and Matagorda Bay on the Texas Gulf Coast lies the Ingleside Sandsheet, which features complex relict geography and is a hot spot for biodiversity. The Ingleside Sandsheet has understudied depressional freshwater marsh complexes called the Ingleside ponds, which support species of greatest conservation need. Wetlands are vital ecosystems that support life on earth through many irreplaceable services such as pollution mitigation and flood control, as well as providing habitat for wildlife. However, wetlands are undervalued and under-protected, with over 50% lost globally. It is known that the Ingleside ponds support imperiled plant communities and protected species, such as the rare and recently discovered Texas quillwort, but the ponds are threatened from changes in land-use and could be lost entirely to development in some areas. This research project aims to complete a comprehensive assessment of Ingleside pond plant communities, analyze functional relationships across multiple taxa, and investigate habitat quality differences regarding land-use impacts. Vegetation quadrat sampling methods are being used to collect plant community data. Analyses of plant community composition with abiotic and biotic wetland factors, such as salinity and land-use characteristics, will be used to identify drivers of diversity. This research will help inform management decisions locally and for similar systems globally, with the aim of protecting this wetland habitat and the greater Ingleside Sandsheet ecosystem. 

Keywords: plants, coastal, Texas, freshwater, ecology 

 

Reconfigurable sensing modules for coastal monitoring: Energy efficient and environmentally sustainable autonomous wireless sensor networks 

Ruben Dominguez(1*), Jose Baca(1)

(1)Department of Engineering, College of Engineering and Computer Science, Texas A&M University-Corpus Christi 

          Long-term coastal monitoring builds up an evidence base to help us understand where the risks, opportunities and consequences are in coastal management. Stand-alone remote sensing and wireless sensor networks are an increasingly popular solution for environmental monitoring. However, most of the traditional methods for remotely acquiring this data are not only harmful to the environment but costly and require human maintenance. Therefore, this project suggests the implementation of Autonomous Self-maintaining battery free Low-powered modules for long-term environmental monitoring based on energy harvesting. Energy harvesting is the process of collecting energy from the environment and converting it into usable electric power. Some examples of energy that may be collected from the environment include ambient light, airflow, temperature variation, vibrations, etc. These modules will support autonomous sensing, including data collection, transmission, and cloud storage. They will possess reconfiguration capabilities for versatility, which include interchangeable sensor types (supply and sensing), robustness (on-the-fly or on-the-shore edge device substitution), scalability (flexibility in module addition for accuracy improvement and uncertainty reduction), and ease of maintenance during operations. Some of the challenges that are faced with energy harvesting systems are data and energy management, due to the scarcity of energy provided from ambient sources. In this work, we are developing synchronization strategies that aim to address these challenges. Particularly, we are looking at developing a green testbed that can be used for testing and evaluating the proposed synchronization strategies. Reconfigurable sensing modules will monitor environmental parameters, in real-time, to enhance, predict, and generate smart data and provide graphical representations of the coastal environment. 

Keywords: energy harvesting, modular systems, green IoT, synchronization 

Physiology, Anatomy, and Morphology (9:15 a - 10:15 a)

Skating through spectroscopy: Total length projections for longnose skates 

Austin Willson(1,2*) Beth Matta(2), Morgan Arrington(2), Cindy Tribuzio(2)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Alaska Fisheries Science Center, National Oceanic & Atmospheric Administration 

          The longnose skate (Beringraja rhina) is an ecologically important chondrichthyan fish that is native to the Northeast Pacific Ocean (NEP) and managed based on limited biological information, due to their low productivity relative to other managed fish species. Because longnose skates have confirmed annual band formation in vertebral centra, they were chosen to explore an alternative method to predict total length, called Fourier transform near-infrared spectroscopy (FT-NIRS). In this study, FT-NIRS was used to predict total length from vertebral centra scans in the case of only having damaged specimens or historical samples. A partial least squares (PLS) regression model was fit to vertebral spectra and total length observations, and cross-validation was used to evaluate the model’s predictive capability. The PLS calibration model fit the data reasonably well, with an R2 of 73.5%, and 67% of predicted skate lengths fitting within 8 cm of measured lengths from the validation. Results from this research support the potential to use FT-NIRS in measuring total length in elasmobranchs to provide important life history information needed for stock assessments. 

Keywords: Alaska, management, conservation, ichthyology, biometrics 

 

Physiological assessment of common bottlenose dolphins (Tursiops truncatus) across a salinity gradient 

Makayla Guinn(1*), Christiana Kumar(2), Justin Elliott(3), Carrie Sinclair(4), Hussain Abdulla(3), Frauke Seemann(1), Dara Orbach(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Unity College; (3)Department of Physical & Environmental Sciences, College of Science, Texas A&M University-Corpus Christi; (4)National Oceanic and Atmospheric Administration, Southeast Fisheries Science Center 

          Common bottlenose dolphins (Tursiops truncatus) are important bioindicators of ecosystem welfare and can inhabit coastal environments with variable natural salinities. Prolonged low salinity exposure (< 10 ppt) in dolphins is a physiological stressor linked to adverse health conditions including skin disorders, electrolyte imbalances, and mortality. However, the physiological tolerances and effects on dolphins in a natural hypersaline system remain unknown. We assessed the physiological condition of three distinct dolphin stocks within the Gulf of Mexico (GoM) inhabiting ecosystems across a broad salinity gradient (5-20 ppt, 22-30 ppt, 36+ ppt), including the Upper Laguna Madre (TX), which is one of six hypersaline lagoons in the world. We measured the prevalence of skin lesions using images collected from a boat and developed baseline steroid hormone profiles from remotely biopsied blubber using high-resolution liquid chromatography-mass spectrometry. Our findings demonstrate seasonal variation in the proportion of skin lesions and a negative correlation between lesion prevalence and water temperature. Additionally, a positive correlation between cortisol and salinity was identified and aldosterone, an important regulator of internal salt and water balance, was quantified in the blubber. This study is the first to assess the physiological condition of dolphins in a natural hypersaline environment and is the first to validate aldosterone in dolphin blubber. Health data collected can be used to monitor dolphin susceptibility to environmental disturbances that alter salinity and induce negative physiological responses, assisting in the conservation of marine life across the GoM. 

Keywords: marine mammal, climate change, stress, health assessment, steroid hormone 

 

Water has layers! Diffusive boundary layer characterization of the tropical Hawaiian rice coral, Montipora capitata 

Bryanna Herrera(1*), Darek Bogucki(2), Xingping Hu(3), Keisha D. Bahr(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Department of Physics and Environmental Sciences, College of Science, Texas A&M University-Corpus Christi; (3)Harte Research Institute, Texas A&M University-Corpus Christi 

          Corals are sessile animals that are subject to their environment and have various colony morphologies that influence their boundary layer, a thin layer of fluid surrounding the coral surface. The Hawaiian rice coral, Montipora capitata, is a polymorphic coral with multiple growth forms, including branching, plating, and encrusting. Boundary layer dynamics are crucial for corals to acquire nutrients from the environment, supporting essential functions like calcification. However, we lack knowledge regarding individual and species-specific responses to changes in water column conditions and how these changes can affect boundary layer dynamics and, consequently, calcification. Therefore, the purpose of this study is to incorporate engineering concepts to investigate drivers and connections between the physical and chemical controls on coral calcification in current and future predicted ocean acidification (OA) conditions. Microsensors were utilized to measure boundary layer thickness and water chemistry changes, and a flume was designed and constructed to control water flow. Six branching and plating M. capitata were collected, and half of each morphology were exposed to two different water chemistries for two weeks. The findings showed that the plating morph has a thicker boundary layer compared to the branching morphology, regardless of treatment. Moreover, under ocean acidification (OA) conditions, higher surface oxygen (O2) concentrations were observed compared to ambient conditions, implying increased photosynthesis rates and potentially higher coral productivity in OA conditions. 

Keywords: fluid dynamics, coral morphology, calcification 

 

Effects of the female reproductive tract environment on sperm movement and behavior in common bottlenose dolphins (Tursiops truncatus

Jacquline Rich(1*), Jonathan Cowart(2), Dara Orbach(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Aquatic Animal Health Program, College of Veterinary Medicine, University of Florida 

          The physical and biochemical properties of the female reproductive tract environment vary widely across species. The vaginal environment is known to play an important role in selecting for high-quality sperm from compatible mates in species with multi-mate mating systems. Compared to terrestrial mammals, marine mammals confront unique challenges in maintaining a stable vaginal environment during aquatic mating where the intrusion of saltwater can alter the pH and salinity of the vaginal environment. Thus, marine mammals have likely evolved physical or chemical mechanisms to control the vaginal environment during aquatic mating. The purpose of this study is to better understand the evolution of the unique vaginal environment of marine mammals by measuring the in vitro effects of variable pH and salinity on common bottlenose dolphin (Tursiops truncatus) sperm properties. Two ejaculates were collected from each of five adult male dolphins trained for voluntary semen collection and housed in managed care facilities in Florida. Immediately after collection, each ejaculate was exposed to solutions of varying salinities between 0-40 parts-per-thousand (ppt) and solutions of varying pH between pH 5.5-8. Computer-assisted sperm analysis (CASA) was used to analyze sperm motility and kinematics after exposure. Study results indicate that salinity levels above 30 ppt and below pH 7 have a negative effect on sperm motility, suggesting that variable pH and salinity within the vaginal environment have a strong effect on the fertilization potential of dolphin sperm. These results suggest that aquatically mating marine mammals have developed mechanisms to maintain a stable vaginal environment to promote sperm viability and allow for sperm selection within the female reproductive tract. 

Keywords: cetacean, fertilization, adaptation, conservation

Emerging Technologies: Let's get TECH-nical (10:15a - 11:20a)

Realizing control flow obfuscation on RISC-V using multizone architecture 

Venkata Sai Ramya Padmasri Boggaram(1*), Kavish Nayeem(1), Shreyash Chede(1), Farazuddin Mohammed(1) 

(1)Department of Computer Science, College of Engineering and Computer Science, Texas A&M University-Corpus Christi 

          In today's security-conscious era, the imperative to safeguard program confidentiality takes precedence. This abstract presents the "CFHider: Control Flow Obfuscation with Intel SGX" approach, which bolsters program functionality through the strategic deployment of Intel Software Guard Extensions (SGX) and Trusted Execution Environments (TEEs). By relocating critical program instructions into secure enclaves, CFHider effectively shields them from external scrutiny, thereby safeguarding the integrity of program operations. However, it's vital to acknowledge the limitation of SGX, which is confined to Intel processors, hindering its widespread adoption. In stark contrast, RISC-V, an open-source instruction set architecture (ISA), emerges as a versatile alternative, offering ample room for the implementation of security enhancements. Crucially, the Multizone architecture, specifically designed for RISCV processors, provides a robust framework for creating secure enclaves—isolated environments dedicated to safeguarding trusted code and sensitive data. Unlike SGX, RISC-V paired with Multizone is characterized by its openness, adaptability, and compatibility with a wide range of hardware platforms. The overarching objective of this research endeavor is to bridge the existing gap between RISC-V architecture and CFHider technology. The researchers aspire to pioneer innovative methods for implementing control flow obfuscation while harnessing the power of Multizone TEEs. This ambitious mission seeks to propel the evolution of secure computing systems, reinforcing the fortress that protects critical software assets in our interconnected and increasingly vulnerable digital landscape. By leveraging platforms such as the Arty A7 board, the ultimate aim is to develop, validate, and rigorously test security solutions that not only enhance program confidentiality but also contribute significantly to the establishment of a safer and more resilient digital environment. 

Keywords: QEMU emulator, IOT devices, embedded systems, drones, ARM trusted zone 

 

Circles of trust: A voice-based authorization scheme for securing IoT smart homes 

Jennifer Mondragon(1*), Carlos Rubio-Medrano(1), Andrew Garcia(2), Dvijesh Shastri(2) 

(1)Department of Computer Science, College of Engineering & Computer Science, Texas A&M University-Corpus Christi; (2)Department of Computer Science, College of Natural Sciences & Mathematics, University of Houston 

          Smart Home Internet of Things (IoT) environments, particularly in recent years, have become extremely popular due to the user-friendly nature and accessibility it provides to the homeowner. From smart locks to lights, smart home environments can control other in-home devices with simple vocal commands, but these vocal commands can be misused regarding who they may come from. For example, the homeowner might not want their child to be able to change the thermostat, therefore, the child should not be able to issue a command in relation. To combat misuses, specifically with respect to the person issuing the command, we propose the application of Circles of Trust (CoT). CoT is a psychological concept that enforces the idea of associating oneself relationships to a specific layer of trust, which can be applied to the framework of authorization for the proposed project. The application of the CoT can be visualized as a multi-layered circle, where the inner-most user will have access to everything within the domain, and each following layer will have less access than the previous. To implement these layers of trust, a novel authorization scheme will be applied to the authorization section, which is where the user’s voice will be analyzed to determine if they have access to that specific command. By using role-based access control, we can protect the holder of the account from misuses of the smart home device, which can come from occupants within or outside the home. Following the project's implementation, user-studies and questionnaires will be conducted to ensure the usability of the smart home device, as it is important to retain that ease-of-use. The proposed project will contribute to the ongoing issues of security within the domain of smart-home devices, especially in helping aid in the understanding of foundations in voice-based security policies within those systems. 

Keywords: cybersecurity, smart devices, authorization protocol, voice recognition, access control models 

The evaluation of Salicornia bigelovii for nitrate remediation in the culture of Sciaenops ocellatus 

Angelina Weigand(1*), Chris Hollenbeck(1), Ivy Jones(1), Candice Lumibao(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          Access to freshwater and land suitable for agriculture is becoming increasingly limited as the human population grows. Marine aquaponics is an alternative that remediates freshwater depletion. Halophytes, such as Salicornia bigelovii, occupy saltmarshes because they are highly salt-tolerant. S. bigelovii can store sodium making it ideal for implementation into a polyculture with Sciaenops ocellatus. Aquaponics provide a closed system that can be manipulated to match the ideal environmental conditions of the cultured species. A polyculture of S. bigelovii and S. ocellatus can be productive within an aquaponic system because S. bigelovii uses the nitrogen from S. ocellatus effluent as a nutrient source which decreases the amount of nitrates in the system. In this study, S. ocellatus and S. bigelovii will be raised in an aquaponic system. Nitrogen uptake, water temperature, pH, salinity, and dissolved oxygen will be monitored over 8 weeks. Four different hydroponic types (drip, ebb and flow, deep water culture, and nutrient film technique) will be tested to determine which results in the highest survivability and growth rate of S. bigelovii. Prior to the test, S. bigelovii seeds will be sourced from Heron Farms and germinated in rockwool. S. ocellatus was sourced from Texas Parks and Wildlife and transported to the AgriLife facility as fingerlings. Length and weight of the fish will be recorded at both the onset and the termination of the experiment. This system will facilitate the production of two food products, ease effects of freshwater depletion, act as alternative to traditional agriculture, and ease the demand of commercial fishing. Upon success, expansion of the system will be tested with the interests of aquaculture farmers replicating the large-scale production. This system is ideal for aquaculturists as it is structured to be economically feasible and increase the return on investment while being both sustainable and environmentally friendly. 

Keywords: aquaponics, aquaculture, marine, halophyte, hydroponics 

 

Can IR images of water surface be used to quantify the energy spectrum and the turbulent kinetic energy dissipation rate? 

Shelby Metoyer(1*), Darek Bogucki(1) 

(1)Department of Physical and Environmental Sciences, College of Science, Texas A&M University-Corpus Christi 

          Turbulence near the surface of a flow controls the fluxes of heat, momentum, and gas going into and out of the flow. In the ocean, the air-sea flux affects hurricanes, rainfall patterns, etc. Moreover, the turbulent kinetic energy spectra allow a more accurate and more complete description of the near-surface air-sea flux. We present a numerical study of the near-surface turbulent kinetic energy spectra deduced from a direct numerical simulation (DNS) compared to turbulent kinetic energy spectra deduced from idealized IR images. The DNS temperature fields served as a surrogate of IR images from which we have calculated the underlying kinetic energy spectra. Despite the near-surface flow region being highly anisotropic, we demonstrated that modeled isotropic and homogenous turbulence spectra can serve as an approximation to observed near-surface spectra within the inertial and dissipation ranges. We also demonstrated that IR-based measurement techniques of the aquatic near-surface offer a potentially accurate and non-invasive way to measure near-surface turbulence needed by the community to improve models of oceanic air-sea heat, momentum, and gas fluxes. 

Keywords: air-sea interaction, boundary layers, spectral analysis, channel flow, remote sensing 

 

Emulating bridge deck aeroelastic forces under forced vibrations via generative neural networks 

Ashutosh Mishra(1,2*), Miguel Cid Montoya(1), Sumit Verma(1), Carlos Ernesto Rubio Medrano(2) 

(1)ASTRO Lab, Department of Engineering, College of Engineering and Computer Science, Texas A&M University-Corpus Christi; (2)Department of Computing Sciences, College of Engineering and Computer Science, Texas A&M University-Corpus Christi 

          The design of long-span bridges is mainly governed by their performance under the action of wind. The deck cross-section geometry is a fundamental design variable for controlling wind-induced and structural responses. In order to effectively design bridge decks, the relationship of their aeroelastic characteristics with their cross-section geometry under different wind velocities must be accurately modeled. Flutter derivatives are the shape-dependent fluid-structure interaction parameters that drive the bridge flutter and buffeting responses. They can be extracted from forced vibration simulations and wind tunnel tests using sectional models. In both cases, the high computational burden of the simulations and the expensive and time-consuming tests restrain designers from carrying out a reasonable number of simulations to properly tailor the bridge deck geometry, either using heuristic techniques or optimization algorithms. In this context, machine learning techniques are a promising alternative to emulate the aeroelastic force time histories traditionally extracted from numerical simulations or wind tunnel tests. An ML-enabled framework for emulating the time-variant aeroelastic forces of alternative deck geometries under different wind velocities is presented in this study. The preliminary results of this ongoing project will be discussed. After properly analyzing the input parameters and specifics of the data, potential models have been selected, like long short term memory (LSTM) networks, Transformer Model, and few more. Ultimately, the choice of the model for the final framework will depend on the performance of these models, which will be discussed in this study. 

Keywords: bridge resilience, aeroelastic forces, transformers, deep learning, aero-structural design 

Serverless Vehicular Digital Twin case study, open issues and challenges 

Abdolazim Rezaei(1*), Mehdi Sookhak(1) 

(1)Department of Geospatial Computer Sciences, College of Science, Texas A&M University-Corpus Christi 

          The Vehicular Digital Twin (VDT) has emerged as a novel solution for testing and verifying a wide range of scenarios in connected and autonomous vehicles (CAVs). Due to the complexity of VDT and its extensive requirements for storage and computational resources, VDTs have been developed on cloud computing platforms. However, the use of cloud computing for implementing VDTs results in high latency and costs for end-users, primarily due to the physical-to-digital twin distance and cloud service provider expenses. In this study, we propose a serverless VDT solution where VDT's computational requirements are supported through a function-as-a-service (FaaS) model. Achieving this objective heavily relies on reshaping the VDT framework to align with serverless edge architecture, which enhances the efficiency of DT servers. Our experimental results clearly demonstrate the effectiveness of this approach, particularly in terms of cost and latency, two critical metrics that impact real-world vehicles and the provision of new driving services. 

Keywords: Digital Twin, serverless computing, vehicular computing 

Why do it by hand when a robot can? Technology to improve conservation (10:30 a - 11:20 a)

Can transfer learning be used to detect rare species in large datasets? 

Jacquelyn Tleimat(1*), Shawn McCracken(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          Texas tortoises (Gopherus berlandieri) are an elusive reptile native to South-Central Texas and Northern Mexico. Unlike their congenerics in North America, the Texas tortoise does not create a conspicuous burrow that can be monitored. Instead, Texas tortoises create a shallow depression (known as a pallet) often in thick vegetation that obscure the tortoise from a surveyor’s view. This often biases surveyors to sticking to roads and game trails to search for these tortoises. Trail cameras provide an alternative that allow for a greater number of survey hours without disturbing the environment. However, given that Texas tortoises are ectothermic, the typical passive infrared motion sensors used by trail cameras does not suffice to reliably detect a tortoise in the environment. These sensors rely on detecting a change in the temperature signature, which tortoises do not often provide. Time-lapse footage must be used, which can generate massive datasets. The improvement of machine learning and transfer learning capabilities provide an opportunity to streamline the identification of tortoises in these datasets. Our goal is to train a machine learning model in the identification of Texas tortoises across key representatives of their habitat types and create the architecture for later use. We have established grids of trail cameras across the range of the Texas tortoise. We have created a training dataset that has been annotated using CVAT.ai and are using OpenCV to verify the model works. Next, we will use COCO transfer learning to test our machine learning architecture on new datasets. This machine learning architecture could make the use of trail cameras to detect Texas tortoises a viable survey option and thus provide an alternative survey technique that is unbiased toward areas of open habitat. 

Keywords: deep learning, conservation biology, artificial intelligence, passive surveys 

 

Habitat suitability modeling informs focused flows strategies for Texas estuaries 

Felipe Urrutia(1*), Paul Montagna(2), Daniel Coffey(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi 

          Texas estuaries provide essential nurseries and habitats for ecologically and economically important species during their developmental stages. However, these estuaries face increasing salinity from altered routes of freshwater inflow and rising temperatures, which can reduce the abundance of estuarine-dependent nekton. Thus, adequate quantities of freshwater delivered to strategic areas of estuaries (“focused flows”) may sustain critical nurseries and accelerate the recovery of estuarine diversity and health, particularly during and following droughts. However, uncertainties remain regarding how estuarine nekton respond to salinity and freshwater changes. This project aims to ensure estuarine ecosystem health by examining the influence of salinity on nekton diversity and the habitat suitability of key indicator species from the seven major Texas estuary systems. The objectives are to 1) examine the influence of environmental variables on nekton diversity metrics (species richness, diversity, evenness) to create broad whole estuary health indices and assess the impact of freshwater inflow changes and 2) examine the historical and predicted habitat suitability of key indicator species that show clear and well-documented responses to salinity under differing freshwater inflow regimes. Juvenile nekton were collected using bag seines from the Texas Parks and Wildlife Department fishery-independent monitoring program between 1976-2022. Bag seine surveys in shallow nursery habitats were selected for this study as they require less freshwater to reduce salinity effectively under the focused flows strategy. Understanding how estuarine nekton will respond to salinity across different freshwater inflow scenarios (dry, average, and wet years) will identify areas requiring more freshwater to maintain population abundance, enhance nekton survival, and preserve estuarine health using the focused flows strategy. Implementing habitat suitability models under historical and projected conditions across the Texas coast will improve estuary health and the coastal economies reliant on these ecosystems and serve as a decision-making tool for natural resource management. 

Keywords: fishes, shellfish, dams, prediction, maps 

 

AI ensemble predictions for Cold-Stunning events in the shallow Laguna Madre 

Miranda White(1,2,3*), Christian Duff(1,2), Hector Marrero(1,2), Marina Vicens-Miquel(1,2), Philippe Tissot(1,2,3 )

(1)NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES); (2)Texas A&M University-Corpus Christi: Conrad Blucher Institute, Corpus Christi, TX; (3)NSF Stakeholder-Guided Environmental Science (STAGES) Traineeship 

          The Laguna Madre, located off the coast of southern Texas, is home to numerous protected species including the endangered green sea turtle. However, given the weather dynamic of southern Texas, the Laguna Madre can cool down very rapidly and serve as a “trap” to marine life when cold weather fronts travel to the coast. This results in the loss of mobile capabilities for economically valuable fish and endangered sea turtles, potentially leading to severe cold-related illnesses or death. This places heavy emphasis on effectively predicting and communicating when water temperatures fall below cold-stunning thresholds to provide stakeholders with sufficient time to prepare for sea turtle and fishery recovery efforts and mitigation measures such as navigation interruptions in the Laguna Madre. Conrad Blucher Institute (CBI) AI researchers at Texas A&M University-Corpus Christi (TAMUCC) have developed an existing operational artificial neural network (ANN) that predicts water temperatures in the Laguna Madre for community stakeholders. However, stakeholders have communicated a need for uncertainty estimates of when and how long cold-stunning events occur to assist with precautionary multi-domain decision-making processes before these extreme events occur. This project focuses on estimating onset and offset cold-stunning threshold-crossing variabilities as well as newly constructed confidence intervals using an ensemble of machine learning (ML) models. Ensemble members will be constructed by (1) repeating calibration of the ML models and (2) perturbing the air temperature predictions used as inputs for model calibration to simulate a range of warmer and cooler air temperature predictions during such events for the same location. Creating a new model with better prediction accuracy and explainable capacity will not only help preserve marine life in south Texas waters and possibly other locations but also further improve the communication framework and decision-making processes with key stakeholders. 

Keywords: coastal artificial intelligence, applied machine learning, stakeholder engagement, uncertainty quantifications, hypothermic stunning 

 

Diurnal and seasonal variability of seawater carbonate chemistry in a remote sanctuary: Insights from autonomous sensors 

EvaLynn Jundt(1,2,3*), Hang Yin(1,2), Xinping Hu(1,2) 

(1)Harte Research Institute; (2)Department of Physical and Environmental Science, Department of Science, Texas A&M University-Corpus Christi; (3)National Science Foundation (NSF) Research Traineeship (NRT) on Stakeholder-Guided Environmental Science Program 

          Flower Garden Banks National Marine Sanctuary (FGBNMS) is located on the edge of a subtropical shelf at the northwestern Gulf of Mexico. The sanctuary hosts the northernmost and extensive tropical coral species in the contiguous United States, with coral cover exceeding 50%. In this study, we report the variations of seawater pH and pCO2 at coral reef depth (27.5 m) measured by in situ sensors (SeaFET and SAMI, respectively; 1 hour resolution), throughout December 2021- May 2023. Both pH and pCO2 exhibited distinct intra-annual and daily variations. During the winter months (December - February), seawater pH was generally higher (pH>8.10) when temperature was low. As temperatures increased during spring and summer, pH decreased below 7.90, and daily variations in pH also increased, coinciding with a coral disease outbreak. pCO2 showed inverse correlation with pH. pCO2 was higher (maximum >550 μatm) and daily variation was also enlarged from June to September. On a daily scale, diurnal variations in pH and pCO2, presumably associated with photosynthesis and respiration, were observed. On a seasonal scale, organic matter remineralization, physical mixing, and temperature changes controlled the carbonate chemistry variations. In January 2023, brief (~ 2 weeks) but significantly lower pH (pH < 7.5) compared to 2022 was discovered, indicating potentially significant transient events that affect this sensitive habitat, which would not be detected without high-resolution monitoring. This study underscores the importance of high-resolution, long-term monitoring of carbonate chemistry parameters in such coral reef ecosystems to better understand their biogeochemical function and the long-term changes in coral reef metabolism. 

Keywords: marine science, carbonate chemistry, autonomous sensors, Flower Garden Banks National Marine Sanctuary 

 

Enhancing coastal surveying, safety, and efficiency through motion planning for teams of Unmanned Aerial Vehicles (UAV) 

Syed Izzat Ullah(1*), Jose Baca(1)

(1)Department of Engineering, College of Engineering and Computer Science, Texas A&M University-Corpus Christi 

          Coastal regions are highly dynamic ecosystems that are always changing due to both natural processes and the effects of climate change. Unmanned Aerial Vehicles (UAVs) have become essential tools for fully addressing the urgent need for precise coastline mapping, erosion monitoring, and the assessment of sea-level rise impacts. These UAVs may capture high-resolution imagery, but more importantly, they allow the integration of a wide range of specialized sensors such as spectral cameras, LiDAR, etc., to collect comprehensive data that is essential for comprehending and controlling coastal dynamics. However, the number and variety of sensors that can be accommodated on a single platform are constrained by the inherent weight and power constraints of individual UAVs. We are proposing an approach based on a multi-UAV system for coastal surveying to overcome this restriction and utilize the full potential of UAV technology. We suggest distributing sensors among multiple UAVs for faster and more accurate data collection. This strategy requires accurate coordination techniques that enable UAVs to avoid collisions with obstacles and increase coverage. Some examples of obstacles are static and dynamic obstacles such as other drones, birds, towers, buildings, trees, etc. We also consider aerial zones, defined by the regulations or policies, that define how UAVs should fly over them, e.g., speed and height restrictions, no-fly zones, etc. To alleviate this concern, in this research, we are developing an ecosystem based on state-of-the-art techniques such as multi-UAVs motion planning coupled with geospatial information, to enable UAVs to autonomously carry out their tasks while avoiding collisions and sensitive zones. We’re implementing sensitive zones in a simulated environment, such as ROS (Robot Operating System) and developing a decentralized multi-UAV navigation system. The results of this work will revolutionize the monitoring of coastal ecosystems and preparedness for the multifaceted challenges posed by an evolving climate.  

Keywords: surveying, UAVs, motion planning 

Poster Session

Acoustic surveys of insectivorous bird distributions along an elevational gradient on the western coast of Ecuador 

Ryce Hailes(1*), Rebecca Davis(1), Shawn McCracken(1,2) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Third Millennium Alliance 

          The Pacific Forest, situated along the western coast of Ecuador, is home to a range of forest types, from tropical dry to rainy cloud forests, with elevations reaching 650 meters. The deciduous dry forest receives annual precipitation of 100-200 cm, the wet forest receives >200 cm, and the cloud forest receives >450 cm. This research hopes to look at the movements of insectivorous birds along this elevational and habitat gradient, and how those species distributions change due to rainy or dry seasons, offering insights into how avian species may respond to the changing climate. Currently, the research focuses on two species, the Black-headed antthrush (Formicarius nigricapillus) and the Plain-brown woodcreeper (Dendrocincla fuliginosa). There are four study sites located within the Three Forests Conservation Corridor and Jama-Coaque Ecological Reserve. These sites include a dry forest habitat at 130 m elevation, a wet forest habitat at 396 m, and two cloud forest habitats at 456 m and 632 m, respectively. Audio data from March and October 2020, as well as March and October 2021, are being examined. At each site, an automated recording unit, known as an AudioMoth, was installed, and programmed to record every hour for ten minutes. Once the audio data is uploaded, it is analyzed using Random Forest Models (RFMs) and pattern-matching techniques on the RFCx Arbimon cloud-based acoustic analytic tool. It has been observed that the Black-headed antthrush is moving in response to the changing seasons. Analysis of the woodcreeper movement is currently underway, with similar results expected. 

Keywords: ecology, bioacoustics, biodiversity, species richness, climate change 

Oysters and opportunities: Creating algorithms and data visualizations for 3D shell characterizations 

Julie Romano(1*), Bright Nnandi(1*), Mehrube Mehrubeoglu(1), Christopher Hollenbeck(2) 

(1)Department of Engineering, College of Engineering and Computer Science, Texas A&M University; (2)Department of Life Sciences, College of Science, Texas A&M University 

          Characterization of 3D objects is challenging when objects lack symmetry and manual measurements of physical attributes, such as surface area and volume, are not feasible. This research focuses on measuring 2D and 3D characteristics of oyster shells from their 3D scans, that are impractical to determine manually. Since oyster shells are a vital component of their ecosystems and economic environments, research on their characterizations is of utmost importance. Thus, 3D structured light scanning is a useful technology to capture measurements without harming the integrity of these irregularly-shaped shells. Previous research has been undertaken for the characterization of limpet shells. This project expands the software capabilities for the use of oyster shells and incorporates additional parameters to be measured from 3D scans, including outer surface area and inner surface area, which had not been developed before for oyster shells. This tool will allow the comparison of physical attributes of oyster shells collected from two different sites along the Texas Gulf Coast. Using 3D scanning and MATLAB programming tools, this research aimed to analyze oyster shell samples and conduct statistical analysis of results with improved MATLAB algorithms. This data will benefit scientists who can then ascertain oyster growth trends based on their sites of origin. The results of this project provide a tool for oyster shell attribute data collection and analysis that can then be used to potentially better understand oysters which are an essential component to the local ecosystem, and to optimize their growing environments. The automated measurement system is presented here as a tool to capture physical attributes of oyster shells. 

Keywords: 3D structured light scanning, engineering tool, environmental science, MATLAB, shell attributes 

Comparing the bulk skeletal density of corals subjected to changing carbonate chemistries 

Isabelle Morales(1*), David Armstrong(1), Eleanor TenBrink(1), Keisha Bahr(1), Conall McNicholl(2) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Hawai'i Institute of Marine Biology, University of Hawai'i at Manoa 

          Coral reefs are essential ecosystems providing support to many marine species. Corals grow complex three-dimensional structures that provide protection for our coastal communities by forming dense skeletons using ions from the seawater. But the continuous release of CO2 into the atmosphere will change our seawater conditions. This change could affect the corals, preventing them from growing as dense impacting the structure services they provide. Therefore, we aim to measure the density of corals exposed to different water chemistries. We predict that if we lower the carbonate the corals will become less dense and if we increase the carbonate then the coral will become denser. Learning about these chemistries’ effects on coral densities is essential to sustain healthy marine ecosystems by providing shelter and protection for the marine species for locals to be able to provide food for their families and helping coastal communities creating barriers from coral reefs to protect coasts from floods and storms. 

Keywords: alkalinity, carbonate chemistries 

Genetic analysis of the vcg gene for Vibrio vulnificus found in the waters of the Coastal Bend region of Texas 

Brian Kostoch1*, F. Itzanami Valdez(1), Gregory W. Buck(1), Kirk V. Cammarata(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          The bacteria Vibrio vulnificus (Vv) is a Gram-negative, pathogenic bacteria that is found in marine environments worldwide. This species of Vibrio was described almost 50 years ago for its ability to not only cause gastrointestinal distress, but also for the high mortality caused by necrotizing fasciitis and sepsis. Distinguishing factors for this increase in virulence include genes such as vvhA, rpoS, the unique 16s rrnA, and the virulence correlated gene (vcg), which is the focus of current research, as little is known about the latter. Previous studies described two major allelic variants, with vcgC being the more clinically prevalent allele and vcgE describing the allele more commonly observed environmentally. The gene encompasses a region of around 495 base pairs in an open reading frame of the same size and is unique to V. vulnificus, as the closest similar gene in another species being V. rotiferianus with around 73% identity. The goal of this project is to optimize primers that could be used for detection of either vcgC or vcgE. Sequencing of locally collected isolates revealed that these bacteria had a moderate range of nucleotide variation of the vcg allele through genomic analysis. Following analysis of variation between isolates, a phylogenetic tree was constructed to compare the respective encoded proteins. Preliminary investigations propose that genomes located within the Coastal Bend region possesses genetic variations not previously described, which may be interest regarding Vv pathogenesis. Further goals are to provide a comprehensive analysis of the vcg locus and its proposed protein that would be further studied for its role in Vv strains causing clinical conditions. 

Keywords: microbiology, bioinformatics, genotypes 

Limpet shells more resistant to thermal stress on more thermally stressful shores 

Keenan Larriviere(1*), Kinley Cate(1), Chris Bird(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University - Corpus Christi 

          Advancing our understanding of the biology and environmental pressures affecting marine life in a changing world is important to the management and conservation of living marine resources. Hawaiian intertidal patellogastropods (limpets, Cellana spp., ‘opihi) comprise a crashed multispecies fishery and hold substantial cultural value as an important resource. In a range-wide study it was found that the shells of C. exarata are adapted to avoid visual predators, putatively humans, at the expense of thermal tolerance with substantially flattened shells on inhabited islands. Flatter shells have less surface area which reduces their ability to shed heat, like a radiator. Here we investigated the variation in shell morphology with respect to shore type at different locations on a single inhabited island, Maui. ~50 adults were collected from bench (n=8), variable slope (n=4), and boulder shores (n=5) with greater and more effective thermal refuges beneath rocks compared to other shore types. We measured the shell aperture length and width, as well as the spire height and normalized them to the mean length using the allometric growth equation to remove the effect of size on shape. The normalized dimensions were used to estimate the shell surface area using the equation for an elliptical cone. Shells on boulder shores – characterized by the lowest solar irradiance – had shells with significantly less surface area, less massiveness, and more oblong dimensions than those on solid basalt shores. Furthermore, there was significantly more variation in shell shape on stressful bench shores with a greater proportion of tall, round, massive shells, with larger surface areas and thermal dissipation indices. These results indicate that some degree of specialization to thermally extreme conditions exist in a predation-adapted population of C. exarata. Understanding how substratum type affects C. exarata shell morphology is crucial to better manage this resource. 

Keywords: acclimation, adaptation, heat budget, phenotype, adaptive capacity 

 

Understanding biological impacts and recovery timelines for benthic invertebrates following beach nourishment activities in Texas 

Melanie Ponce(1*), Kim Withers(2), Terry Palmer(1), Natasha Breaux(1), Jennifer Beseres Pollack(1) 

(1)Harte Research Institute for Gulf of Mexico Studies; (2)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi, Texas 

          Beaches are ecologically and economically important coastal habitats. They provide nesting habitat for coastal organisms, host diverse assemblages of benthic invertebrates, support recreation and tourism for coastal communities, and protect private and public property from storms. However, beaches are high-energy environments where sand can erode due to sea level rise, storms, and coastal flooding. One approach to combat beach erosion is “nourishment”, where large quantities of sand are added onto an eroded beach. Despite nourishment being heavily funded, there is a lack of understanding of biological impacts and recovery timelines after nourishment. To assist resource managers tasked with sediment management activities, the effects of nourishment on Texas beaches will be determined using a Before/After, Control/Impact (BACI) study design on two beaches—Jamaica Beach and Sargent Beach—slated for nourishment in the next year. To determine whether differences in benthic communities between reference and nourished beaches can be attributed to nourishment or natural factors, sampling will occur at three reference (control) areas for each nourishment (impact) area. So more robust comparisons can be made between reference and control areas, two nearby reference sites (<10 km from the nourished area) and one distant reference area (>10 km) will be selected for sampling. The nearby reference sites will experience similar hydrological forces to the nourished area and the distant reference areas will ideally be more “pristine” than the close reference areas. Sampling will occur at the nourished and reference beaches every 2 months for at least 10 months prior to a nourishment event. Sediment cores will be used to evaluate macrofauna communities and sediment grain size. Changes in sediments and macrofauna community composition will be determined by univariate and multivariate statistics. To establish guidelines for nourishment activities, these findings will be used to inform resource managers about benthic macroinvertebrate and sediment recovery timelines. 

Keywords: coastal conservation, Texas coast, swash zone, intertidal organisms 

 

Morphological differentiation in two sympatric, reproductively isolated, cryptic populations of a broadcast-spawning shellfish, Cellana exarata 

Kinley Cate(1*), Keenan Larriviere(1), Luz Ángela López De Mesa Agudelo(1,2), Christopher E. Bird(1) 

(1)Department of Life Sciences, College of Science, Texas A&M University – Corpus Christi; (2)Universidad del Valle, Facultad de Ciencias Naturales y Exactas-Biología, Cali, Valle del Cauca, Colombia 

          The endemic Hawaiian limpets (Cellana spp.) are one curious example of adaptively differentiated broadcast-spawning marine invertebrates that diversified within the confines of the Hawaiian archipelago where sympatric speciation cannot be ruled out due to few opportunities for geographic isolation. Two sympatric, cryptic populations of C. exarata were discovered on Maui in 2017 with a small degree of differentiation (FST = 0.03) suggesting a recent split, but there was a substantial degree of reproductive isolation indicating that reinforcement was approaching completion. The hypothesis is that this single species is actually 2 separate, sympatric species with an infertile hybrid that inhabit the same area. By testing for differences in the morphological variation of the two populations, we may be able to identify differential adaptations between the species that contribute to their differential abundances on north and south shores of Maui and assess their contribution to reinforcement, which is the process by which a population splits into two species where there is selection against intermediates because they are adaptively inferior. PCA data collected from the two populations shows diverging characteristics such as shell size, shell height, and thermal dissipation index, hinting at a recent split. The data found in this research can further scientists' and conservationists’ knowledge on the species in general and make more precise action in the formation of rest areas and policymaking regarding the conservation of the species in the area. 

Keywords: cryptic, genetic, conservation, morphology, fisheries 

 

Prevalence of Vibrio in sea spray aerosols during a Saharan dust storm 

Jacqueline Nicolay(1*), Charley Garrett(1), Nicole C. Powers(1), Jeffrey W. Turner(1), Julie Dinasquet(2) 

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Scripps Institute of Oceanography, University of California San Diego 

          Aerosols from sea spray make up the majority of atmospheric particle levels in coastal areas. Sea spray aerosols can act as a vehicle for the transport of bacteria over long distances. Therefore, sea spray could have important implications for public health and the spread of infectious diseases, if pathogenic bacteria can survive and remain viable in sea spray for extended periods of time. Vibrio are a Gram-negative genus of bacteria found in marine environments worldwide, particularly in warmer climates. Although many species are not pathogenic, several species cause illness in humans (e.g., V. parahaemolytics, V. cholerae, V. vulnificus) and marine life (e.g., V. coralliilyticus, V. harveyi, V. anguillarum). Due to climate change and increasing sea surface temperatures, the geographic range of Vibrio is expanding, leading to an increase in cases of Vibrio-associated illness worldwide. Extensive research has increased our understanding of Vibrio in aquatic habitats, but the possibility of atmospheric transport and survival has yet to be determined. The primary objective of this study was to determine if Vibrio could be cultured directly from the atmosphere. Additionally, as Saharan dust storms are known to contribute to marine Vibrio blooms, we investigated the impact of a Saharan dust storm on the prevalence of atmospheric Vibrio. Results demonstrate a direct correlation between presumptive Vibrio colony forming units (CFUs), sulfur dioxide, and particulate matter (PM2.5 and PM10), as well as an inverse correlation between CFUs and nitrogen dioxide. Sea spray transport of Vibrio could have a major impact on its biogeography and further disrupt human and environmental health. 

Keywords: sea spray aerosols, Vibrio, Saharan Air Layer, Saharan dust 

 

Mitochondrial genome of the blackspot snapper, Lutjanus fulviflamma (Perciformes: Lutjanidae), and notes on its phylogeny 

Kevin Labrador(1,2*), Christopher Bird(1), Maybelle Fortaleza(2), Joemarie Lanutan(2), Cleto Nañola Jr.(2) 

(1)Department of Life Sciences, College of Science, Texas A&M University - Corpus Christi, Corpus Christi; (2)Department of Biological Sciences and Environmental Studies, College of Science and Mathematics, University of the Philippines Mindanao

          We report here the complete mitogenome of the blackspot snapper (Lutjanus fulviflamma) collected from Davao Gulf, Southern Mindanao, Philippines. The mitogenome was assembled from 90.6 million reads produced from whole genome shotgun sequencing, 77,187 of which mapped to the reference used in the assembly. The complete mitogenome had a length of 16,512 bp, with 13 protein-coding sequences, 22 transfer RNA, two ribosomal RNA (12S and 16S), and the noncoding control region. The base composition is 28.2% A, 25.1% T, 30.6% C, and 16.1% G, with 46.7% GC content. Protein-coding sequences utilized start and stop codons that were expected for fishes. Phylogenetic analysis shows that the assembled mitogenome was 99.6% identical to the reference L. fulviflamma from Indonesia. The species shared its most recent common ancestor with L. vitta and L. ophuysenii, and formed a cluster with L. russellii, L. carponotatus, and L. ehrenbergii. The mitogenome provides a valuable genomic resource for future phylogenetic and population genetic studies. Meanwhile, the assembly of the whole genome is underway. 

Keywords: mitochondrial genome, next generation sequencing, reef fishes 

 

Developing a molecular assay to genetically differentiate between scalloped hammerhead, Sphyrna lewini, and Carolina hammerhead, Sphyrna gilberti 

Darian Paul(1*), Andrew T. Fields(1), Elizabeth Hunt(1), David S. Portnoy(1) 

(1)Marine Genomics Lab, Department of Life Sciences, College of Science, Texas A&M University – Corpus Christi 

          Global demands for shark fins and meat have led to rapid declines in shark populations, especially in large bodied coastal species such as the hammerhead sharks (Family: Carcharhinidae, Genus: Sphyrna). Management of the scalloped hammerhead (Sphyrna lewini) in the western Atlantic Ocean is challenging due to the existence of a sympatric, externally -morphically identical, cryptic species, the Carolina hammerhead (Sphyrna gilberti) that can hybridize with scalloped hammerheads. Their morphological similarity creates a challenge in identifying the species in the field, therefore, this study proposes a probe-based qPCR assay that uses single nucleotide polymorphisms (SNPs) that are fixed different between scalloped and Carolina hammerhead sharks, to rapidly identify them in the lab. Once designed, the assay will not only be able to identify scalloped and Carolina hammerheads, but also F1 hybrids. This molecular tool will enable further species-specific research focused on aspects of life history and ecology that are important for conservation and management. 

Keyword: conservation genetics 

 

Characterizing benthic invertebrate communities on eroding Texas Beaches 

Lily Tubbs(1*), Melanie Ponce(1), Terry Palmer(1), Kim Withers(2), Jennifer Beseres Pollack(1) 

(1)Department of Physical and Environmental Sciences, College of Science, Texas A&M University – Corpus Christi; (2)Department of Life Sciences, College of Science, Texas A&M University – Corpus Christi 

          Beaches along barrier islands of the Texas coast provide important ecological and socioeconomic benefits, however rapid shoreline erosion threatens the productivity of these coastal environments. Alterations to coastal geomorphology, due to climatic and anthropogenic stressors, stems from the inability of beaches to replace sediment simultaneous to the rate of erosion. Restoration techniques, such as beach nourishment, are utilized to temporarily mitigate the dissipating sediment, which provides vital habitat for benthic invertebrate communities and foraging grounds for shorebirds. Methods to understand the recovery rates of beaches after nourishment events include monitoring of important bioindicators such as benthic invertebrates. Bi-monthly monitoring of eight Texas beaches began in February 2023, with two beaches (Sargent and Jamaica Beach) set to be nourished in 2024. Sediment cores were collected in the swash zone to determine benthic invertebrate community composition. Spatial and temporal variability was examined for the most common fauna, amphipods of the family Haustoriidae and the spionid polychaete, Scolelepsis sp. Preliminary results indicate that these benthic invertebrates experience seasonal variations that could affect population dynamics. Temporal fluctuations in the benthic invertebrate community could directly affect shorebird usage and could potentially indicate an ideal period to perform nourishment events with the goal of minimal losses for larval recruitment. Establishing a timeline of overall beach recovery post-nourishment will aid in future beach nourishment plans targeted for Texas beaches. 

Keywords: restoration, coastline, intertidal zone, macrofauna, Galveston 

 

An image analysis technique to improve understanding of sedimentation effects on seagrass-epiphyte interactions 

Collin Kerr(1*), Kirk Cammarata(1)

(1)Department of Physical and Environmental Sciences, College of Science, Texas A&M University – Corpus Christi 

          Seagrasses globally face alarming rates of decline due to light attenuation by turbidity. Seagrass leaves are encrusted with complex biofilms primarily composed of algae known as epiphytes, and their interactions with the host plant remain poorly understood. However, their sensitivity to environmental factors such as light, nutrients, and dissolved gases makes them valuable bioindicators, similar to seagrasses themselves. This project aims to develop an improved image analysis method to describe epiphyte colonization on seagrass leaves, including aspects like quantity, morphology, and composition. The context for this work will be a study of the impacts of suspended sediment plumes on seagrasses. I predict that suspended sediments will reduce light and alter the characteristics of epiphyte biofilms and impact seagrass bioindicators negatively. Halodule wrightii shoots were gathered from a site with three distinct sedimentation disturbance levels: track one with no disturbance, track two with low disturbance, and track three subjected to high sedimentation disturbance. These seagrass leaves were arranged by shoot on a fluid mount tray for optical scanning after which epiphytes were removed by scraping and dried for biomass measurements. ENVI spatial image processing software (NV5 Geospatial) was used to remove the background from scanned leaf images (RGB), creation of RGB color band ratios, application of thresholds to differentiate epiphytes from seagrass leaves, and the quantification of identified image classes through pixel counting, yielding the total percentage coverage of epiphytes on the seagrass. The technique is promising, but further refinement and accuracy validation are required. This imaging approach has potential to enhance our comprehension of how sedimentation influences the accumulation of epiphytes and seagrass response. 

Keywords: remote sensing, OBIA (object-based image analysis), epibionts, estuarine, environment 

 

The effects of the pandemic and community management on the abundance of Hawaiian limpets 

Mare Rich(1*), Christopher E. Bird(1)

(1)Department of Life Sciences, College of Science, Texas A&M University-Corpus Christi 

          Hawaiian limpets (Cellana exarata) are an important staple of cuisine and culture across Hawai‘i. The primary threat to limpet populations is predation by humans. Thus, they are expected to be affected by “the tragedy of the commons” – wherein a public resource is overutilized by those acting in their own self-interest without an authority to enforce rules governing resource utilization. To combat the overharvesting of Hawaiian limpets, two community organizations established community-managed areas (CMA) in 2014 where the harvesting of limpets was discouraged, but there was no enforcement. Surveys (2014-2017) documented a significant increase in limpet abundance both inside of the CMA and up to 1km down current. Here we test for the effect of CMA on the abundance of limpets before and after the 2020 COVID-19 Pandemic. Transect surveys of limpet size and abundance were conducted in two CMA and two unmanaged areas in 2019 and 2022. A zero-inflated negative binomial general linear mixed model analysis was conducted in R using glmmTMB. The analysis tested for the effects of size (sublegal, legal), survey year, and the management regime on abundance. The population of legal-sized limpets was larger in the CMA than the unmanaged areas. Within management regimes, however, the number of legal-sized limpets remained consistent between 2019 and 2022, suggesting that the pandemic had no significant effect on harvesting pressure. The abundance of sublegal limpets fluctuated both between years and management regimes, but due to the stochastic nature of limpet larval recruitment, there is not enough evidence to suggest that the changes were related to the tested factors. These results demonstrate that even during a pandemic when people lost their jobs and needed an affordable source of food and additional income, contrary to the tragedy of the commons, compliance engendered by CMA without enforcement was sustained. 

Keyword: opihi 

 

River discharge effects on chlorophyll concentration variability in the northwestern Gulf of Mexico 

Adewumi Andrew(1*), Xinping Hu(1), Lei Jin(2) 

(1)Department of Physical & Environmental Sciences, College of Science, Texas A&M University-Corpus Christi; (2)Department of Mathematics & Statistics, College of Science, Texas A&M University-Corpus Christi 

          River discharge possesses the ability to influence biomass availability in aquatic systems, thus leading to effects in marine chlorophyll concentrations. Furthermore, variability in climate change patterns may negatively enhance these effects altogether. We analyze these trends over a 17-year period in the Gulf of Mexico within select banks within the Flower Garden Banks National Marine Sanctuary (FGBNMS). Through statistical analysis and time-series analysis, we anticipate correlation with fluctuations in river discharge significantly influencing chlorophyll concentration, with pronounced seasonal and interannual variations. Furthermore, we suppose delayed response with chlorophyll concentration echoes to river discharge in accordance with seasonal cyclical variability within the Gulf of Mexico. The significance of this study lies in its ability to assess the long-term implications of rising river discharge concentrations, potentially leading to harmful phytoplankton blooms that can have adverse effects on the Gulf's marine ecosystem. 

Keywords: eutrophication, nutrient enrichment, coastal ecosystem, environmental impacts, water quality fluctuations 

 

Organic matter content around and within an oyster reef 

Kalie Tovar(1*), Kelley Savage(1), and Jennifer Beseres Pollack(1) 

(1)Harte Research Institute for Gulf of Mexico Studies, Department of Physical and Environmental Studies, College of Science, Texas A&M University-Corpus Christi

          Oyster reefs provide numerous ecosystem services, including water filtration, shoreline protection, and habitat provisions for a variety of species. Another ecosystem service oysters may provide is carbon sequestration. Overall, the role of oyster reefs in the carbon cycle is understudied; however, oysters are known to act as both a sink and a source of carbon. Oysters act as a carbon sink by filter feeding and trapping suspended organic matter throughout the intricate reef structure. In contrast, oysters act as a carbon source through the formation of calcium carbonate shells, which produce carbon dioxide (CO2) that escapes into the atmosphere. Only eleven studies have quantified and reported carbon storage rates for oysters, and of those studies, the complex mechanisms affecting oyster reef carbon cycling are not always considered. Therefore, to account for these complexities, this research will evaluate sediment organic matter content around and within a restored subtidal oyster reef in St. Charles Bay, TX. Understanding the sediment organic matter around and within an oyster reef will help determine the areal extent to which carbon accumulates and if subtidal oyster reefs in St. Charles Bay, TX can impact the carbon found within the system. Sediment organic matter content results will be compared to elemental compositions of organic carbon to provide complementary information on carbon burial and potentially act as a proxy for carbon sequestration around and within a restored subtidal oyster reef. 

Keywords: blue carbon, Crassostrea virgincia, restoration 

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