Environmental Sciences Commons^™

Understanding And Assessing Climate Change: Preparing For Nebraska’S Future, 2024 Climate Change Impact Assessment Report, Deborah J. Bathke, Eric Hunt, Heather Akin, Andrea D. Basche, Jesse E. Bell, Daniel R. Dileo, Ross Dixon, Martha Durr, Tonya Haigh, Francis John Hay, Kristina W. Kintziger, Nicholas A. Mcmillan, Hank Miller, Jerome Okojokwu-Idu, Crystal Powers, Tirthankar Roy, Zhenghong Tang, W. Ryan Wishart, Aaron R. Young, Sarah A. Sonsthagen, Jonathan J. Spurgeon

School of Natural Resources: Faculty Publications

Contents

Report Team

Acknowledgments

Executive Summary

Introduction

Climate Change Contexts: Global, National, and State

Observed Changes in Nebraska's Climate

Projections of Nebraska's Future Climate

Water Systems

Energy

Ecosystems

Agriculture

Human Health

Communities and the Built Environment

Indigenous Peoples

Climate Justice and Equity

The Response of Faith Communities

Nebraskans' Perceptions of Climate Change

Next Steps and Future Work

Supplemental Report: Adaptation, Risks, and Impacts

About the Authors

Faith-based Communities Survey

Evaluated Plans and Assessments

References

Zambia's Poor Septic Waste Management: A Disaster In Waiting, Andrew Mwape

School of Natural Resources: Faculty Publications

In the shadows of Zambia’s rapidly growing urban and peri-urban communities lies an invisible but mounting threat, the mismanagement of septic waste. While national dialogue often focuses on economic development, climate change, or energy, the sanitation crisis receives little public attention, yet it poses an equally severe risk to public health, environmental integrity, and sustainable urbanization. Zambia’s poor septic waste management, if left unaddressed, is a disaster in waiting.

Septic waste refers to the wastewater and solid waste that flows from toilets, sinks, and other domestic plumbing fixtures into on-site sanitation systems such as septic tanks or pit latrines. This …

Geophysical Tools For Agricultural Management: Trends, Challenges, And Opportunities, Sophia Becker, Trenton Franz, Yufeng Ge, Joe Luck, Derek M. Heeren

School of Natural Resources: Faculty Publications

Agrogeophysics is a convergence of proximal soil sensing and hydrogeophysics in which geophysical methods are used to describe soil patterns and dynamics that shape agronomic management (including precision agriculture). To fully realize its potential for optimizing agricultural production, current barriers and targets for future agrogeophysics research must be identified. In this review, we compare the trajectory of agrogeophysics within peer-reviewed literature, patents, and the US university extension literature and examine the current challenges and opportunities for supporting agricultural production and sustainability with agrogeophysical tools. We conducted a repeatable search of Web of Science and Scopus for seven geophysical methods (electromagnetic …

Why Real Impact Stories Of Forest-Dependent Communities Are Essential In Carbon Marketing, Andrew Mwape

School of Natural Resources: Faculty Publications

As the global carbon market matures, the pressure on companies and project developers to prove the integrity and social value of their carbon offset initiatives has never been greater. At the heart of this growing scrutiny lies a key opportunity: to move beyond metrics and tell authentic, human-centered stories that reflect the real impact of carbon projects; especially those rooted in forest landscapes.

Confocal Laser Scanning Microscopy As A Method For Identifying Variation In Puparial Morphology And Establishing Characters For Taxonomic Determination, Christian Elowsky, Leon G. Higley

School of Natural Resources: Faculty Publications

Calliphoridae, or blow flies, are of much ecological and practical importance given their roles in decompositional ecology, medical and veterinary myiasis, and forensic entomology. As ephemeral and rapidly developing species, adults are frequently not present for identification, but puparia (the remaining outer integument of the third instar larvae) are frequently found. These heavily sclerotized remains are stable in the environment but they are of a conservative character. Historically, scanning electron microscopy (SEM) has been used for characterization, a technique which is not only time-consuming but also often expensive, effectively making large numbers of specimens impossible to quantify. As an alternative, …

Does Biofluorescence Enhance Visual Signals In Birds-Of-Paradise?, R. P. Martin, E. M. Carr, J. S. Sparks

School of Natural Resources: Faculty Publications

No abstract provided.

Impacts Of Irrigated And Non-Irrigated Land Use On Convective Environments And Related Diagnostic Variables During Grainex In Nebraska, Usa, Daniel Whitesel, Rezaul Mamood

School of Natural Resources: Faculty Publications

No abstract provided.

Woody Plant Reinvasion Shortens The Lifespan Of Grassland Restoration Treatments, D. T. Fogarty, M. Beadle, C. R. Allen, C. Bielski, D. Twidwell

School of Natural Resources: Faculty Publications

No abstract provided.

Heat Stress Induced By Irrigation Over The Us Great Plains And Related Uncertainties, L. Chen, I. C. Achugbu, Rezaul Mamood, K. Kintziger, J. Bell, G. Meredith

School of Natural Resources: Faculty Publications

No abstract provided.

Proximal Remote Sensing: An Essential Tool For Bridging The Gap Between High Resolution Ecosystem Monitoring And Global Ecology, Z. Pierrat, T. Magney, W. Richardson, B. Runkle, J. Diehl, X. Yang, J Gamon Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Annual Variation In Attribute Importance To Upland Game Hunter Satisfaction In Nebraska, M. P. Gruntarod, J. J. Lusk, C. J. Chizinski

School of Natural Resources: Faculty Publications

No abstract provided.

Devising Optimized Maize Nitrogen Stress Indices In Complex Field Conditions From Uav Hyperspectral Imagery, Jiating Li, Yufeng Ge, Laila A. Puntel, Derek M. Heeren, Geng Bai, Guillermo R. Balboa, John A. Gamon, Timothy J. Arkebauer, Yeyin Shi

School of Natural Resources: Faculty Publications

Nitrogen Sufficiency Index (NSI) is an important nitrogen (N) stress indicator for precision N management. It is usually calculated using variables such as leaf chlorophyll meter readings (SPAD) and vegetation indices (VIs). However, no consensus has been reached on the most preferred variable. Additionally, conventional NSI (NSI_uni) calculation assumes N being the sole yield-limiting factor, neglecting other factors such as soil water variability. To tackle these issues, this study compared various variables for NSI calculation and evaluated two new N stress indicators in minimizing the impact of confounding water treatment. The following ground- and aerial-derived variables were compared …

Delineating Ecologically Distinct Groups For Annual Cycle Management Of A Declining Shorebird, E. C. Knight, J. Carlisle, A. J. Boyce, D. Bradley, P. Cimprich, S. Coates, L. A. Powell Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Population Increases Of The Threatened American Burying Beetle (Nicrophorus Americanus) Linked To Large-Scale Collaborations In A Working Lands Ecoregion, C. P. Roberts, A. K. Ludwig, D. T. Fogarty, E. F. Stuber, Daniel R. Uden, T. L. Walker Jr., D. Twidwell

School of Natural Resources: Faculty Publications

No abstract provided.

Devising Optimized Maize Nitrogen Stress Indices In Complex Field Conditions From Uav Hyperspectral Imagery, J. Li, Y. Ge, J. Gamon, L. A. Puntel Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Human Recreation Influences Activity Of A Large Carnivore In An Urban Landscape, E. C. Bolas, J. F. Benson, R. V. Blakey

School of Natural Resources: Faculty Publications

No abstract provided.

Examination Of Cooperative Extension As A Bridging Organization To Enhance Cross Boundary Collaborative Water Management, Mark E. Burbach, S. Kennedy, W. M. Eaton, K. J. Brasier, R. R. Rudnick, W. Whitmer

School of Natural Resources: Faculty Publications

No abstract provided.

Northern Bobwhite Habitat Selection During The Nonbreeding Season In A Riparian Corridor In Colorado, J. M. Wolske, A. C. Behney, L. A. Powell

School of Natural Resources: Faculty Publications

No abstract provided.

Dataset For "The Role Of Metacognition And Confidence In Quantitative Reasoning In College Biology Courses", Joseph Dauer, Anum Khushal, Brian A. Couch, Robert L. Mayes, Kent Rittschof

School of Natural Resources: Faculty Publications

Quantitative modelling is a fundamental skill for biology students with performance determined by a host of cognitive and metacognitive resources and requiring instructors to integrate key quantitative dimensions into teaching biology. Using an assessment of quantitative modelling in biology, we explored biology students’ (n = 930 higher education students) modelling practices (i.e., abilities to create, test, revise), metacognition about the nature of models and confidence in their capabilities to model. Students performed best on items related to understanding variables used in models and performed more poorly on items related to interpreting, creating, and using models to understand biological phenomena. …

The Complete Genome Sequence Of Splendidofilaria Pectoralis (Onchocercidae, Rhabditida, Chromadorea, Nematoda), Andrew Sweet, Robert E. Wilson, Jack Reakoff, Sarah A. Sonsthagen, Colleen Hurst, Stacy Pirro

School of Natural Resources: Faculty Publications

We present the complete genome sequence of Splendidofilaria pectoralis, a nematode parasite of grouse (Aves: Galliformes: Tetraonini). Illumina paired-end reads were assembled by a de novo method followed by a finishing step. The raw and assembled data are publicly available via GenBank: Sequence Read Archive (SRR28509439) and assembled genome (JBFSWT000000000).

Intrinsic And Environmental Drivers Of Pairwise Cohesion In Wild Canis Social Groups, John F. Benson

School of Natural Resources: Faculty Publications

Animals within social groups respond to costs and benefits of sociality by adjusting the proportion of time they spend in close proximity to other individuals in the group (cohesion). Variation in cohesion between individuals, in turn, shapes important group-level processes such as subgroup formation and fission–fusion dynamics. Although critical to animal sociality, a comprehensive understanding of the factors influencing cohesion remains a gap in our knowledge of cooperative behavior in animals. We tracked 574 individuals from six species within the genus Canis in 15 countries on four continents with GPS telemetry to estimate the time that pairs of individuals within …

Appraising Groundwater Quality And Probabilistic Human Health Risks From Fluoride-Enriched Groundwater Using The Pollution Index Of Groundwater (Pig) And Gis: A Case Study Of Adama Town And Its Vicinities In The Central Main Ethiopian Rift Valley, Hassen Shube, Shankar Karuppannan, Muhammed Haji, Balamurugan Paneerselvam, Nafyad Kawo, Abraham Mechal, Ashu Fekadu

School of Natural Resources: Faculty Publications

This research's main objective is to identify the level of contamination in drinking water in Adama town and its environs by employing PIG, GIS and HHRA. The physical–chemical parameters of groundwater were determined, and the results were compared to regional and global drinking water quality guidelines. The pH of groundwater is alkaline, and the contents of Ca₂⁺, Na⁺, HCO₃ ⁻, and F⁻ in the majority of samples surpassed the permissible drinking limit. The hydrochemical facies were identified in the following order: Ca–Mg–HCO₃, Na–Ca–HCO₃, and Na–HCO₃. Cation …

Evaluation Of An Autonomous Acoustic Surveying Technique For Grassland Bird Communities In Nebraska, Grace E. Schuster, Leroy J. Walston, Andrew R. Little

School of Natural Resources: Faculty Publications

Monitoring trends in wildlife communities is integral to making informed land management decisions and applying conservation strategies. Birds inhabit most niches in every environment and because of this they are widely accepted as an indicator species for environmental health. Traditionally, point counts are the common method to survey bird populations, however, passive acoustic monitoring approaches using autonomous recording units have been shown to be cost-effective alternatives to point count surveys. Advancements in automatic acoustic classification technologies, such as BirdNET, can aid in these efforts by quickly processing large volumes of acoustic recordings to identify bird species. While the utility of …

Stress Phenotyping Analysis Leveraging Autofluorescence Image Sequences With Machine Learning, Sruti Das Choudhury, Carmela Rosaria Guadagno, Srinidhi Bashyam, Anastasios Mazis, Brent E. Ewers, Ashok Samal, Tala Awada

School of Natural Resources: Faculty Publications

Background: Autofluorescence-based imaging has the potential to nondestructively characterize the biochemical and physiological properties of plants regulated by genotypes using optical properties of the tissue. A comparative study of stress tolerant and stress susceptible genotypes of Brassica rapa with respect to newly introduced stress-based phenotypes using machine learning techniques will contribute to the significant advancement of autofluorescence-based plant phenotyping research.

Methods: Autofluorescence spectral images have been used to design a stress detection classifier with two classes, stressed and non-stressed, using machine learning algorithms. The benchmark dataset consisted of time-series image sequences from three Brassica rapa genotypes (CC …

Globe-Lfmc 2.0, An Enhanced And Updated Dataset For Live Fuel Moisture Content Research, Marta Yebra, Gianluca Scortechini, Karine Adeline, Nursema Aktepe, Turkia Almoustafa, Avi Bar-Massada, María Eugenia Beget, Matthias Boer, Ross Bradstock, Tegan Brown, Francesc Xavier Castro, Rui Chen, Emilio Chuvieco, Mark Danson, Cihan Ünal Değirmenci, Ruth Delgado-Dávila, Philip Dennison, Carlos Di Bella, Oriol Domenech, Jean-Baptiste Féret, Greg Forsyth, Eva Gabriel, Zisis Gagkas, Fatma Gharbi, Elena Granda, Anne Griebel, Binbin He, Matt Jolly, Ivan Kotzur, Tineke Kraaij, Agnes Kristina, Pınar Kütküt, Jean-Marc Limousin, M. Pilar Martín, Antonio T. Monteiro, Marco Morais, Bruno Moreira, Florent Mouillot, Samukelisiwe Msweli, Rachael H. Nolan, Grazia Pellizzaro, Yi Qi, Xingwen Quan, Victor Esco De Dios, Dar Roberts, Çağatay Tavşanoğlu, Andy F. S. Taylor, Jackson Taylor, İrem Tüfekcioğlu, Andrea Ventura, Nicolas Younes Cardenas

School of Natural Resources: Faculty Publications

Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, Globe-LFMC 2.0 incorporates over 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within the dataset provides essential information, including date, geographical coordinates, plant species, functional type, and, where available, topographical details. Moreover, the dataset encompasses insights into the sampling and weighing procedures, …

Amethod To Estimate Climate Drivers Ofmaize Yield Predictability Leveraging Genetic-By-Environment Interactions In The Us And Canada, Parisa Sarzaeim, Francisco Munoz-Arriola

School of Natural Resources: Faculty Publications

Throughout history, the pursuit of diagnosing and predicting crop yields has evidenced genetics, environment, and management practices intertwined in achieving food security. However, the sensitivity of crop phenotypes and genetic responses to climate still hampers the identification of the underlying abilities of plants to adapt to climate change. We hypothesize that the PiAnosi and WagNer (PAWN) global sensitivity analysis (GSA) coupled with a genetic by environment (GxE) model built of environmental covariance and genetic markers structures, can evidence the contributions of climate on the predictability of maize yields in the U.S. and Ontario, Canada. The GSA-GxE framework estimates the relative …

Field Testing Of Gamma-Spectroscopy Method For Soil Water Content Estimation In An Agricultural Field, Sophia Becker, Trenton E. Franz, Tanessa Morris, Bailey Mullins

School of Natural Resources: Faculty Publications

Gamma-ray spectroscopy (GRS) enables continuous estimation of soil water content (SWC) at the subfield scale with a noninvasive sensor. Hydrological applications, including hyper-resolution land surface models and precision agricultural decision making, could benefit greatly from such SWC information, but a gap exists between established theory and accurate estimation of SWC from GRS in the field. In response, we conducted a robust three-year field validation study at a wellinstrumented agricultural site in Nebraska, United States. The study involved 27 gravimetric water content sampling campaigns in maize and soybean and ⁴⁰K specific activity (Bq kg⁻¹) measurements from a stationary …

Where East Meets West: Phylogeography Of The High Arctic North American Brant Goose, Robert E. Wilson, W. Sean Boyd, Sarah A. Sonsthagen, David H. Ward, Preben Clausen, Kathryn M. Dickson, Barwolt S. Ebbinge, Gudmundur A. Gudmundsson, George K. Sage, Jolene R. Rearick, Dirk V. Derksen, Sandra L. Talbot

School of Natural Resources: Faculty Publications

Genetic variation in Arctic species is often influenced by vicariance during the Pleistocene, as ice sheets fragmented the landscape and displaced populations to low-and high-latitude refugia. The formation of secondary contact or suture zones during periods of ice sheet retraction has important consequences on genetic diversity by facilitating genetic connectivity between formerly isolated populations. Brant geese (Branta bernicla) are a maritime migratory waterfowl (Anseriformes) species that almost exclusively uses coastal habitats. Within North America, brant geese are characterized by two phenotypically distinct subspecies that utilize disjunct breeding and wintering areas in the northern Pacific and Atlantic. In the …

Within-Field Soil Moisture Variability And Time-Invariant Spatial Structures Of Agricultural Fields In The Us Midwest, Yi Yang, Bin Peng, Kaiyu Guan, Ming Pan, Trenton E. Franz, Michael H. Cosh, Carl J. Bernacchi

School of Natural Resources: Faculty Publications

Understanding soil moisture variability and estimating high-resolution soil moisture at subfield to field scales is critical for agricultural research and applications. However, systematic investigation of subfield scale soil moisture variability over cropland is still lacking from both measurement and satellite remote sensing. In this study, we aim to investigate (1) the characteristics of within-field soilmoisture distribution over typical cropland in the US Midwest and (2) the capabilities of satellite remote sensing in capturing the spatiotemporal variabilities of soil moisture at subfield scale. Specifically, we conducted soil moisture field experiments in three typical commercial agricultural fields (∼85 acres per field) in …

Considerations For The Use Of Porcine Organ Donation Models In Preclinical Organ Donor Intervention Research, Frazer I. Heinis, Shaheed Merani, Nicholas W. Markin, Kim F. Duncan, Michael J. Moulton, Lance Fristoe, William E. Thorell, Raechel A. Sherrick, Tami R. Wells, Matthew T. Andrews, Marian Urban

School of Natural Resources: Faculty Publications

Use of animal models in preclinical transplant research is essential to the optimization of human allografts for clinical transplantation. Animal models of organ donation and preservation help to advance and improve technical elements of solid organ recovery and facilitate research of ischemia–reperfusion injury, organ preservation strategies, and future donor-based interventions. Important considerations include cost, public opinion regarding the conduct of animal research, translational value, and relevance of the animal model for clinical practice. We present an overview of two porcine models of organ donation: donation following brain death (DBD) and donation following circulatory death (DCD). The cardiovascular anatomy and physiology …