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The Future of the Past (2025-02-27)
No full textThe Department of English, Linguistics & Writing Studies Celebrates The 25th Anniversary of the Klaus P. Jankofsky Fund for Medieval & Renaissance Studies. The 2025 Jankofsky Lecture; Thursday, 27 February 2025, 5:30pm; UMD Kathryn A. Martin Library Rotunda; Reception following the program; Free & Open to the Public. There are two files attached to this record, a poster and a postcard.How do we preserve the past while looking toward the future? And why? What do Medievalists at the world's most prestigious institutions of science & technology have to say about their role in educating the next generation of technical leaders? MIT Professor Arthur Bahr & Caltech Professor Jennifer Jahner discuss the relationship between the past and the future, the fragility of technology, and how Medieval Studies helps us think about technological resilience.Bahr, Arthur; Jahner, Jennifer; University of Minnesota Duluth. Department of English, Linguistics, and Writing Studies. (2025). The Future of the Past (2025-02-27). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/270036
Minutes: Senate Committee on Faculty Affairs: Term Faculty and Academic Professionals Subcommittee (TFAPS): January 21, 2025
No full textIn these minutes: Follow-Up Discussion with Instructional P&A Data; Continue Developing Working Documents and DebriefUniversity of Minnesota: Senate Committee on Faculty Affairs. (2025). Minutes: Senate Committee on Faculty Affairs: Term Faculty and Academic Professionals Subcommittee (TFAPS): January 21, 2025. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271472
Nitrogen-fixing biologicals: What farmers should know
No full textRuntime 22:06Today we’re talking all about nitrogen-fixing biologicals. What's the best definition of a biological or biostimulant? Are they fertilizers, pesticides - or neither? In what ways do they interact with nitrogen in the field? Where and how are biological products tested? Which environmental factors might impact biologicals? How should they be properly transported and stored? How can farmers assess whether biostimulants might be right for their operation? All this and more on today's episode.Kaiser, Daniel; Rosen, Carl. (2025). Nitrogen-fixing biologicals: What farmers should know. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/272892
2025 Duluth Watersheds Geologic & Fluvial Geomorphic Information
No full textThese map package includes all field and geospatial data associated with the geologic and fluvial geomorphic properties of the Amity Creek, Lester River, and Mission Creek watersheds.Uplift or base level fall in bedrock rivers can produce knickpoints (waterfalls) that propagate upstream to adjust the elevation of the longitudinal profile to reach a steady state. The migration rate of knickpoints is influenced by factors like local channel slope, drainage area (a proxy for discharge), and substrate erodibility. This dataset was used to investigate the geologic controls on bedrock landscape evolution following base level fall. Three map packages for three watersheds in the Duluth area (Amity Creek, Lester River, Mission Creek) are included in this dataset. A geologic map (“ExposureMap”) for each watershed was created to determine what the substrate control was on fluvial erosion. Point files contain information relating to stream characteristics (channel elevation, upstream area, distance from mouth, channel slope, modeled Erosion Index (“Stream Power”)), location of knickpoints (spikes in slope/Stream Power), and substrate erodibility in the channel (uniaxial compressive strength, fracture density, fracture intensity). Additional raster datasets include a Digital Elevation Model (DEM) of the watershed and a hillshade map.National Science Foundation's Frontier Research in Earth Sciences programBugno, Benjamin. (2025). 2025 Duluth Watersheds Geologic & Fluvial Geomorphic Information. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/e9zb-e605
U of M Crookston's Loegering recognized with Wildlife Society award following student nominations
No full textBengtson, Jess. (2025). U of M Crookston's Loegering recognized with Wildlife Society award following student nominations. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271195
Clothing values of Anishinaabeg
No full textUniversity of Minnesota Ph.D. dissertation. 2025. Major: Design. Advisor: Elizabeth Bye. 1 computer file (PDF); v, 99 pages.This study explores an alternative fashion system by examining values through the lens of language and culture. This research aimed to understand the value of clothing in the Anishinaabe fashion system. Dialogue around the acquisition, use, and disposal of clothing was explored to un-derstand how clothing and language use reflects lifestyle, identity, and mindset. This research en-gages Anishinaabe language learners and speakers to explore how clothing acquisition, use, and disposal connects to language use. Participants chose Anishinaabe language phrases throughout the interview corresponding to insights shared in English. Using qualitative research grounded in In-digenous knowledge and methodologies, this research investigates two central questions: (1) How do Anishinaabeg use their clothing? and (2) How do Anishinaabeg value their clothing?
Findings reveal distinct differences between the values expressed in English and An-ishinaabemowin. English language responses reflected individualistic and compartmentalized per-spectives, mirroring the separation prevalent in European American fashion systems. In contrast, Anishinaabemowin responses demonstrated interconnectedness, reflecting community-centered and holistic values. Additionally, spirituality emerged as a distinct and separate element in English themes but was integrated throughout Anishinaabemowin themes. Findings highlight the im-portance of detaching fashion from capitalistic values and the significance of exploring sustainable fashion systems that respect and integrate Indigenous worldviews and cultural practices.Davis, Sage. (2025). Clothing values of Anishinaabeg. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271695
Exploring spatial variability in air quality-related health impacts of food production
No full textThis dataset is supplemental material to the dissertation submitted by Madeline Faubion. Chapter 2 & 3 folder includes data for the development of figures and appendices related to Chapter 2 & 3 on the generation of a US air quality related health impacts from agriculture model. The Chapter 2 model needs to be run in order to develop the Figures for Chapter 3. Chapter 3 folder includes files and code for the development of the regional analysis for Chapter 3 and Chapter 4 includes data pertaining to the generation of data and figures for Chapter 4. The readme file includes external data sources that need to be downloaded to generate the data and analysis.Exposure to ambient air pollution is the leading environmental risk to human health globally, with food and agriculture contributing to a fifth of air quality related deaths. Most of these deaths are attributable to fine particulate matter PM2.5 pollution from synthetic fertilizers, animal manure, tillage and other on-farm activities, largely related to the production of animal-based foods. However, while it is known that reducing PM2.5 related emissions from agriculture is essential for improving the sustainability of food, less is known about its local impacts on air quality, what products are driving them, and how to design spatially optimized interventions. This thesis aims to fill the gaps in understanding of spatial variability of damages from food products, focusing on informing where these damages occur and exploring animal-based product- and country- level variability globally. I do this by 1) exploring the spatial distribution of health damages from US agriculture in food production by pollutant, agricultural activity, commodity, and food product; 2) identifying hotspot regions in the US by food consumption, production, and experienced damages; and 3) expanding analysis to the global health impacts of livestock production and related animal-based protein sources. I find that, in the US, rural populations experience a high burden of food-related PM2.5 pollution driven by animal-based foods, such as pork and beef. I also find that the Midwest US both causes and experiences the most PM2.5 related damages from US agriculture, and substantially more than it contributes through its consumption. Globally, I find high country-level variability in the health damages caused by animal-based protein production; for example, for beef, the largest country death per protein rate is 3,300% greater than the smallest. Overall, by identifying the hotspot areas for product- and county- level production in the US and animal-based product- and country- level production globally, my findings suggest specific localized interventions for improving agriculture related air quality. Taken together, my work shows that spatially targeted mitigation strategies can reduce both total health impacts and disparities in local impacts as compared to generalized interventions.Preparation of this publication was supported in part by the Center for Air, Climate and Clean Energy Solutions (CACES), which was supported under Assistance Agreement R835873 awarded by the U.S. Environmental Protection Agency (EPA). It has not been formally reviewed by the EPA. The views expressed in this document are solely those of the authors and do not necessarily reflect those of the Agency. The EPA does not endorse any products or commercial services mentioned in this publication. This work was also supported in part by the United States Department of Agriculture, National Institute of Food and Agriculture (USDA-NIFA) Projects MIN-12-083, MIN-12-110, and 2021-68012-35896 (#DiverseCornBelt), as well as by the William F Wilcke Fellowship through the Department of Bioproducts and Biosystems Engineering at the University of Minnesota-Twin Cities.Faubion, Madeline. (2025). Exploring spatial variability in air quality-related health impacts of food production. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/WYZ1-T585
On-farm evaluation of the potential of precision sulphur management of corn in Minnesota.
No full textUniversity of Minnesota M.S. thesis. January 2025. Major: Land and Atmospheric Science. Advisor: Yuxin Miao. 1 computer file (PDF); v, 91 pages.Sulfur (S) is an essential nutrient for corn (Zea mays L.) production, playing a critical role in plant metabolism, enzyme activation, and protein synthesis. However, reductions in atmospheric S deposition due to stricter air pollution regulations have led to an increasing prevalence of S deficiencies in agricultural soils. This shift has heightened the importance of optimizing S management strategies to maintain high crop productivity while minimizing environmental impacts. Precision S management (PSM) seeks to address this challenge by aligning S applications with the spatial and temporal variability of crop demand and soil nutrient availability. By improving S use efficiency (SUE), PSM has the potential to enhance crop yield, economic returns, and environmental sustainability; however, little has been reported on the benefits of PSM under on-farm conditions for corn, especially in Minnesota.The objectives of this thesis were to 1) evaluate the potential agronomic, economic, and sustainability benefits of PSM strategies for corn under on-farm conditions in Minnesota and 2) identify the key factors influencing within-field variability in corn yield and responses to S applications using machine learning for potential management zone delineation. Field trials conducted across Minnesota in 2022 and 2023 examined corn responses to S application under five levels (0, 11.2, 22.4, 33.6, and 44.8 kg S ha⁻¹). Results revealed significant variability in agronomic optimum S rate (AOSR) and maximum return to S rate (MRSR), driven by field-specific conditions such as soil organic matter (SOM) content, soil texture, and topography. For fields with higher SOM and finer textures, optimal yields were achieved with minimal or no S fertilization, while sandy, low-SOM fields demonstrated greater responses to S application. Field-specific S management (FSSM) improved yields and economic returns compared to traditional farmer S practices (FSP), but in highly heterogeneous fields, site-specific S management (SSSM) further optimized outcomes by tailoring S applications to individual field zones.
Two fields were selected for identifying key factors influencing yield variability under different rates of S applications. This foundational knowledge allows for the delineation of management zones based on limiting factors, paving the way for better-targeted strategies that optimize farmer outcomes. A stacking ensemble machine learning model was employed to predict corn yield using S application rates and soil- landscape variables. The stacking model, integrating Random Forest, XGBoost, Gradient Boosting, and Support Vector Regression (SVR), outperformed individual models in predictive accuracy, achieving R² values of up to 0.98. Critical factors such as spatial yield trends, relative elevation, slope, SOM, and cation exchange capacity (CEC) were identified as the most influential factors. These findings underscore the value of advanced machine learning techniques in not only predicting yield but also understanding the complex interplay of factors shaping S responses. By leveraging these insights, site-specific management zones can be developed, enabling more effective and sustainable nutrient management strategies tailored to the unique conditions of each field.
By combining field experiments with data science approaches, this research underscores the potential of PSM to improve SUE, optimize crop productivity, and enhance economic returns while promoting environmental stewardship. The findings highlight the need for practical tools and decision-support systems to facilitate the implementation of PSM strategies and address barriers to on-farm adoption. This thesis contributes to the advancement of sustainable agriculture by providing actionable insights into optimizing nutrient management at both field-specific and site-specific scales, paving the way for innovative, data-driven solutions to meet the challenges of modern agriculture.Negrini, Renzo. (2025). On-farm evaluation of the potential of precision sulphur management of corn in Minnesota.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271354
In Control? Minnesota Women Navigating Violence and Coercion
No full textCoercive control and intimate partner violence are issues plaguing Minnesota women and girls. This paper examined the extent to which women in Minnesota are protected from intimate partner violence under state and federal policies, and how these protections could be strengthened and expanded to include coercive control. This paper used the term coercive control as conceptualized by Evan Stark (2007), a pattern of physical or non-physical abuse used to trap a woman in an intimate partner relationship. To identify existing safeguards, the paper analyzed the federal Violence Against Women Act and the Gun Control Act of 1968 (including subsequent amendments), alongside Minnesota’s Domestic Abuse Act, Harassment Law, and Victims’ Rights Law. Through this analysis, several gaps were identified in the state’s policies addressing relationship violence. In response, this paper offers three recommendations: (1) The State of Minnesota Should Expand the Legal Definition of Domestic Abuse to Include Coercive Control as a Form of Illegal Violence; (2) The State of Minnesota Should Allocate Grants Specifically for Non-Profit and Non-Governmental Organizations That Work With Victims and Survivors of Intimate Partner Violence, Domestic Violence, and Coercive Control; and (3) The State of Minnesota Should Be Proactive in Hiring Social Workers, Investigators, Law Enforcement, and Court Officials Who Represent Highly Victimized Communities of Women.Kloeppner, Elise. (2025). In Control? Minnesota Women Navigating Violence and Coercion. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/272518
City of Minnetonka: Evaluating the Impact of Natural Resources Ordinances
No full textThis report serves as a summary of an evaluation of resident perceptions on the City of Minnetonka’s natural resources ordinances. This report includes results of an online survey sent out to residents asking questions directed at gaining a better understanding of residence experiences on local regulation. Specifically, it focused on understanding perceptions before and after recent housing developments that needed to adhere to City of Minnetonka’s tree and wetland ordinances. To ensure a comprehensive understanding of perceptions, residents were asked questions about benefits and challenges faced with preserving trees and replanting trees on their property, as well as installing a wetland buffer or enrolling property into the city’s wetland conservation easement program. To enhance the meaning of resident responses, additional findings on evaluation ecosystem services were analyzed to give guidance on future communication with residents regarding the benefits of the city’s natural resources and ecosystem services.Krantz, Kevin; Milless, Rose; Wickre, Jennifer. (2025). City of Minnetonka: Evaluating the Impact of Natural Resources Ordinances. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271652