Geography Commons^™

Analyzing The Climate-Growth Response Of Hemlock Species In Tight Hollow, Daniel Boone National Forest, Kentucky, Usa, Jacob G. Brown

The Cardinal Edge

Kentucky’s (KY) local climate is facing uncertainty as the influence of climate change pushes hydrological variation to its extremes. Proxy-based data can be used to better understand this variation by analyzing past climatic conditions. Tree rings provide valuable proxy data on an annual to sub-annual resolution that can be used to create climate reconstructions. However, the state of Kentucky lacks high temporal and spatial resolution datasets for accurate climate reconstruction analysis. Climate-sensitive tree species and locations must be identified and evaluated within Kentucky to further enhance these datasets to a higher resolution. Our research objective is to analyze the climate-growth …

A Distributed Model For Undergraduate Education In Environmental Remote Sensing: Increased Student Interest In Science And Sense Of Science Identity And Belonging, Gregory R. Goldsmith, Monae Verbeke, Jeremy Forsythe, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

"We present results from a new open-access course in satellite remote sensing of the environment that uses evidence-based, active learning pedagogy to train the next generation of interdisciplinary scientists The course, called Observing Earth from Above, teaches students how to access, visualize, and communicate satellite remote sensing data from NASA’s ECOSTRESS instrument to address a variety of environmental challenges. The resources focus on follow-along tutorials for students and also include recorded lectures and interviews with remote sensing scientists."

Ecomusicological Representation Of Climate Change And Environmental Sustainability In Selected Bongo Fleva Lyrics In Tanzania, Auson N. Wincheslaus

Journal of Humanities and Social Sciences

This article critically explores how Bongo Fleva’s lyrics engage with environmental themes; and the interrelationship between nature and culture in the context of the Anthropocene. The data were purposively sampled from YouTube via content analysis, from which 50 Bongo Fleva songs were listened to, and only 10 environmentally-themed songs were analysed. Then, the selected songs were subjected to transcription (from oral to written form), translation (from Kiswahili into English), and close reading and textual analysis. The close reading of the selected songs focused on the employed aesthetic and rhetorical strategies, such as anthropomorphism, symbolism, antithesis, apocalyptic tones, solastalgia, rhetorical questions, …

Ecosystem-Based Flood Disaster Risk Reduction In The Little Ruaha River Basin, In The Southern Highlands Of Tanzania, Mawazo Ghambi, Tiemo Romward Haule

Journal of Humanities and Social Sciences

Ecosystem-based approach that integrates floods and environmental risk management is believed to reduce flood disaster risk while providing socio-economic and environmental benefits to floodplain occupants. This study examined the socio-economic and environmental benefits of the ecosystem-based approach in managing flood disaster risk in the Little Ruaha River Basin in the southern highlands of Tanzania. The study involved 157 participants and employed the mixed research design to collect quantitative and qualitative data. Semi-structured interviews, in-depth interviews, direct field observation and Focus Group Discussions were used to collect primary data, whereas documentary review was used to collect secondary data. Findings revealed that …

Resilience Among Smallholder Irish Potato Farmers To The Impacts Of Climate Variability In Wanging’Ombe District, Tanzania, Timotheo Bilary Ngalaga, Digna Wolfram Mlengule, Jackson Raymond Sawe

Journal of Humanities and Social Sciences

This paper examines smallholder farmers’ adaptation strategies to climate variability, and their resilience in enhancing their capacity to adopt. The data was collected from 98 heads of households using both quantitative and qualitative approaches. The methods of data collection included household surveys, focus group discussions (FGDs), in-depth interviews, and document review. The quantitative data were analysed using the IBM SPSS (Version 23), while the qualitative data were analysed using thematic analysis. The findings indicate that 69.4% of respondents reported a decrease in rainfall, while 89.8% reported an increase and fluctuations in temperature over the past 29 years. Moreover, the findings …

Climate Change Vulnerability And Adaptation Pathways: Stakeholders’ Synergies In Building Climate Resilience In The Semi-Arid Area Of Central Tanzania, Helena Elias Myeya

Journal of Humanities and Social Sciences

This article examines the perceived effect of climate change on cereal crop production and the responses of various stakeholders aimed at enhancing the resilience of smallholder farmers in semi-arid areas of central Tanzania. A total of 366 household heads, 28 participants in focus group discussions (FGDs), and 8 key informants from Bahi and Kongwa districts in Dodoma, Tanzania, were involved in this study. Both quantitative and qualitative data were gathered through a structured interview schedule, FGDs, in-depth interviews, and documentary reviews. Descriptive statistics and content analysis were used to analyse quantitative and qualitative data, respectively. The findings indicate that smallholder …

Long-Term Variability Of Air Quality And Greenhouse Gas Emissions From Rice Crop Burning In Punjab During 2012–2020, Harsimranjit Kaur Romana, Dericks Praise Shukla, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

Punjab, India's primary rice and wheat production hub, has witnessed rapid expansion of paddy cultivation over the past two decades, driven by minimum support price incentives, changes in government policies, alignment of sowing with the monsoon season and the adoption of high-yielding varieties. This transition has intensified groundwater extraction and shortened the fallow period between rabi and kharif crop seasons, reducing the window between rice harvesting and wheat sowing, leading to widespread open-field burning of rice residue and recurrent post-monsoon air-quality deterioration across the Indo-Gangetic Plain. Despite numerous short-term or single-pollutant assessments, a spatially resolved, multi-pollutant and multi-decadal evaluation linking …

Perspectives On Food Sovereignty In Chicago, Camden Bruce Blowers

Capstone Projects – Politics and Government

The research question for this project focuses on food sovereignty. “How do individuals working with food in Chicago identify their role in promoting food sovereignty?” is a research question that expands with some nuance into the question of “who” individuals are in terms of political orientation. When asked to identify political ideology and economic ideology, the values can be greater quantified. Using mixed-methods, this paper critically assesses perspectives of individuals working with food in Chicago. The online survey enumerates the individual perspectives, food culture, and sociopolitical interactions of food sellers, producers, and advocates. Ten interviews further establish 1) the sociopolitical …

Super-Resolution Remote Sensing Datasets For Application To Caral–Supe Archeological Sites Employing Sar And Dems, Jungrack Kim, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

Publicly accessible spaceborne remote sensing datasets often lack the spatial resolution required to reliably distinguish archeological features from their surrounding geomorphological contexts. In this study, we assess the potential of super-resolution (SR) products derived from multiple public-domain remote sensing datasets for a systematic archeological survey in the Caral–Supe region. We focus on Synthetic Aperture Radar (SAR) and topographic datasets—including Sentinel-1, Advanced Land Observing Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR), and Digital Elevation Models (DEMs)—because of their capacity to detect subtle surface expressions and shallow subsurface structures obscured by vegetation or sediment cover. Using state-of-the-art deep learning algorithms, …

Mapping Fire Management: A Spatial Social Network Approach, Christoph Neger, Cody Evers, Kapil Yadav, Octavio Romero Cuapio

Environmental Science and Management Faculty Publications and Presentations

Maps are an essential tool to inform fire governance and management. For instance, they can highlight which areas are most vulnerable to adverse fire impacts or be used to plan interventions for risk reduction and prevention. In recent years, several studies have mapped the fire management activities and the networks between the multitude of involved actors. They build upon previous advances to combine quantitative and qualitative social network analysis with geographical analysis and cartography, aiming to highlight areas of opportunity to enhance fire governance. This paper continues this line of research, examining cooperation in fire management within the south-eastern part …

Automated Machine Learning For High-Resolution Daily And Hourly Methane Emission Mapping For Rice Paddies Over South Korea: Integrating Modis, Era5-Land, And Soil Data, Jiah Jang, Seung Hee Kim, Menas Kafatos, Jaeil Cho, Gayoung Yoo, Sujong Jeong, Yangwon Lee

Institute for ECHO Articles and Research

Agriculture is a major global source of methane (CH4), and accurate emission estimates are essential for refining national greenhouse gas inventories and supporting climate-resilient policies. This study develops a high-resolution estimation framework for CH4 emissions from Korean rice paddies by integrating multi-source datasets, including Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis Version 5 (ERA5)-Land meteorological variables, and Harmonized World Soil Database (HWSD) soil properties. Using CH4 flux observations from four global rice ecosystems (Italy, Japan, South Korea, and USA), we constructed parallel daily and hourly machine learning models using an automated machine …

College Of Natural Sciences 2025 Year-End Publication, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Page 2 Dean's Message 
Page 3 Department Highlights 
Page 4 One Day for State 
Page 5 Ice cores reveal volcanic eruptions in 13th century 
Page 5 How do our cells interpret stress 
Page 6-7 Faculty Excellence
Page 8 New chemical biology consortium will accelerate cancer research
Page 9 SDSU to combat crop disease, biofilms in new NSF-back project 
Page 9 Science as Art Competition 
Page 10-11 Student Excellence  
Page 12 SDSU researcher developing natural alternative to synthetic dyes
Page 12 Browning Retired
Page 13 Quantum technologies through NSF-backed project
Page 13 NASA Funds CNS Development of Model
Page 14 GGS …

A Framework For Food Reliability In Zambia, Junren Wang, Megan Konar, Sitian Xiong

Student Publications [Scholarly]

Ensuring the reliability of domestic food supplies is increasingly critical given the compounding shocks of production variability, transportation constraints, and demand surges. This study develops a spatially explicit framework for Zambia, introducing the food reliability index to quantify the probability that food requirements exceed supply under stochastic conditions. By integrating probabilistic production estimates with a gravity model of domestic trade, we evaluate reliability dynamics across rural and urban landscapes. We apply this framework to establish a 2020 baseline and project future vulnerabilities to 2050. To address projected deficits, we simulate intervention scenarios, comparing the efficacy of cropland expansion, yield intensification, …

Evolving U.S. And Chinese International Development Policy: Institutions, Strategies, And Global Impact, Julian Kai Lehto

Social Sciences

This paper is inspired by, and meant to understand, recent changes in global policy towards foreign aid and international development. 2025 saw one of the biggest changes to international development in decades, when President Donald Trump’s new administration made the decision to effectively shut down the United States Agency for International Development (USAID). At the same time, China has been taking on a growing role in foreign aid and development over the last decade. Chinese projects like the Belt and Road Initiative (BRI) have become globally significant. This paper will explore the changing impacts and influence of both the U.S. …

Montana Residents’ Attitudes Towards Tourism – 2025, Carter Bermingham, Megan Schultz, Jayce Beck

Institute for Tourism and Recreation Research Publications

Montana residents maintain a broadly positive outlook on tourism, with 66% agreeing that tourism's benefits outweigh its drawbacks and 72% recognizing the economic value of state-supported tourism promotion. However, resident sentiment remains nuanced: 45% report concerns about overcrowding, and fewer than half (36%) believe increased tourism would improve their personal quality of life — a trend consistent across four consecutive years.

Regional divides are pronounced. Communities near high-visitation destinations such as Glacier National Park and Yellowstone National Park express greater skepticism toward tourism growth, while lower-visitation regions, including Central Montana, Southeast Montana, and Missouri River Country, hold more favorable views …

Beyond Artifacts And Fossils: Exploring The Contributions And Socioeconomic Impacts Of Montana’S Museums And Paleontological Tourism, Emma Keinath-Lopez, Elena Bigart, Glenna Hartman, Kara Grau, Ava Worbets, Melissa Weddell

Institute for Tourism and Recreation Research Publications

This study explores how Montana’s museums, including those along the Montana Dinosaur Trail, influence communities, economies, and visitor experiences in a post-pandemic environment. Through mixed methods—511 visitor surveys at 44 museums and 18 interviews with museum professionals— this research provides a holistic understanding of museum operations, visitor motivations, and community impacts.

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Relationship Between Vegetation Greenness (Ndvi) And Land Surface Temperature Across Land Cover Types In Ciwidey Sub-Watershed (1990–2020), Syal Syabila, Kuswantoro Marko, Revi Hernina

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Land cover change significantly influences vegetation greenness and land surface temperature (LST), particularly in upstream watershed regions experiencing rapid development. This study aims to analyze changes in vegetation greenness (NDVI), land surface temperature, and their relationship across different land cover types in the Ciwidey Sub-Watershed, Bandung Regency, during 1990–2020. Landsat 5 TM and Landsat 8 OLI images (Path/Row 122/65) acquired in July 1990, 2005, and 2020 were processed using radiometric correction, supervised classification (Maximum Likelihood), NDVI extraction, and mono-window LST algorithm. Land cover classification accuracy was assessed using confusion matrix analysis. Linear regression was applied to evaluate the relationship between …

Temperature And Sex Ratios At Birth, Jasmin Abdel Ghany, Joshua Wilde, Anna Dimitrova, Ridhi Kashyap, Raya Muttarak

Publications, Reports and Presentations

Human sex ratios at birth (SRBs) shape population composition and are closely linked to maternal health and gender discrimination. In the context of environmental change, SRBs may theoretically be skewed by physiological or behavioral responses to exposure to extreme heat. However, evidence for this is limited. In this study, we estimate the effect of prenatal exposure to temperature on birth sex by linking survey data on 5 million live births in 33 sub-Saharan African countries and India with high-resolution temperature data. To distinguish between spontaneous and induced abortions, we exploit sociodemographic differentials, exposure timing, and regional differences in son preference. …

Moment Of Recognizability: Askancing And The Global South, Pedro Lange Churion, Tanu Sankalia

Global Studies Faculty Publications

This article introduces askancing as an epistemic strategy for the Global South to challenge the Global North’s construction of the Global South’s alterity. Askancing is a neologism we propose by engaging with Jacques Lacan’s speculations on the gaze as it pertains to the construction of “the other.” We argue that this strategy of askancing might already be implicit in postcolonial theories, from the notion of the subaltern, through “decoloniality,” to “ecologies of knowledge.” Central to askancing—and contrary to the decolonial call for an epistemic break with modernity—we agree with Dipesh Chakrabarty’s assertion that modernity’s rational discourse is both “indispensable and …