Environmental and ecological degradation has raised concerns worldwide. Negative attitudes toward the environment plus disinterest have led to improper behavior, influencing climate change and global warming. Awareness could have a positive environmental impact by influencing attitudes and behaviors. One way to generate awareness and ensure positive behavior is through education. Using the Theory of Reasoned Action (TRA), a 33-questions survey was implemented to college students from Texas, Louisiana, and Honduras to (1) compare students’ environmental attitudes, behaviors, and subjective norms at the three universities; and (2) predict how much of the undergraduate students’ environmental behavior variance could be explained by their environmental attitude, subjective norms, and perceived environmental knowledge. Multivariate analysis of variance and hierarchical regressions were performed to address the objectives, respectively. Results showed that Honduras and Louisiana students’ environmental attitudes, behavior, and subjective norms are significantly different than Texas students, and TRA variables increased the prediction of behavior variance by 15%. Understanding interactions between behavior, attitude, knowledge, and subjective norms among college students from different universities may help assess environmental interventions and design successful programs based on group needs.

Understanding agricultural students' environmental perception is necessary to design meaningful interventions to enhance their environmental awareness. This study aims to understand and compare undergraduate students' environmental behavior and perceptions in the College of Agricultural Sciences and Natural Resources at a Southwestern United States (US) university and an agricultural university in Honduras (HN). The MANOVA and descriptive statistics show a large effect on the attitude-behavior relationship. Overall, HN students presented higher scores in attitudes, behaviors, and perceptions of environmental education at their university than students from the U.S. university. The most influential behavioral factors for students are financial incentives, friends, and people who take action.

Nutrient-rich inputs into surface waters can promote harmful blooms of Prymnesium parvum by stimulating growth under favorable environmental conditions. Glyphosate can enter aquatic ecosystems and affect algal growth, potentially further influencing P. parvum blooms. The interaction effects of nutrient conditions and glyphosate on P. parvum toxicity, however, remain unknown. This study determined the effects of glyphosate on the growth and toxicity of P. parvum. Cultures were exposed to glyphosate (0, 0.1, 0.25, and 0.5 mg L⁻¹) under phosphorous (P)-sufficient (f/2 medium) and P-limited conditions (phosphate-free medium) and, for the 0.1 mg L⁻¹ cultures, P. parvum toxicity (10,000 cells mL⁻¹) to Daphnia pulex was assessed. The addition of 0.1 and 0.25 mg glyphosate L⁻¹ significantly stimulated P. parvum growth in P-sufficient conditions, resulting in the highest growth rates and final cell densities. In P-limited conditions, however, glyphosate had no effect. P-sufficient cultures with 0.1 mg glyphosate L⁻¹ exhibited higher toxicity compared to controls. Although toxicity under P limitation was consistently higher than under P sufficiency, glyphosate did not affect this toxicity. These results suggest that glyphosate, at environmentally relevant concentrations, stimulates the growth and toxicity of P. parvum under nutrient-sufficient but not nutrient-limited conditions.

The ongoing substance use crisis in the United States involves a broad range of illicit and prescription drugs, including opioids, stimulants, sedatives, and various psychoactive and non-psychoactive compounds. Traditional surveillance methods rely on self-reported data, which could lead to bias and recall inconsistencies. Wastewater-based epidemiology has emerged as a powerful, non-invasive tool for monitoring community-level drug use, offering near real-time estimates and the potential to serve as an early warning system. However, challenges such as analyte degradation, wastewater variability, and matrix effects can affect data quality and comparability across regions. This study presents a standardized, practical workflow for multi-drug (n = 52) detection in wastewater, aiming to minimize analyte loss and improve reproducibility. Composite samples were collected from multiple U.S. cities, transported on ice, and extracted using solid-phase extraction. Extraction efficiencies were compared using Oasis Hydrophilic-Lipophilic-Balanced and Mixed-mode Cation-Exchange (MCX) cartridges, with the MCX sorbent providing complementary reversed-phase and cation-exchange interactions that enabled the retention of chemically diverse compounds across multiple drug classes. Analysis was performed with an Ultra-High-Performance Liquid Chromatography system coupled to a triple quadrupole mass spectrometer, in which the instrument parameters and critical methodological considerations, including sample handling, transport, column selection, and method validation, are detailed. This work contributes to the development of a robust, scalable protocol for multi-drug surveillance in wastewater, supporting timely, data-driven public health responses and informing national drug policy efforts.