Southwestern United States Research Articles

Chlorine isotope evidence for Farallon-derived metasomatism of the North American lithospheric mantle

Metasomatism of the sub-continental lithospheric mantle (SCLM) can result in enrichment in volatile elements introduced via subduction of seawater-altered oceanic lithosphere. Subduction-related metasomatism can introduce chlorine isotope heterogeneity to the SCLM inherited from the subducted source, which can be used to characterize the source of metasomatism. This study presents Cl isotope compositions (δ37Cl) of variably metasomatized continental lithospheric mantle xenoliths from the Colorado Plateau and southern Rio Grande Rift (southwestern United States). Fertile mantle xenoliths that represent asthenosphere that has recently been emplaced at the base of the North American lithosphere have δ37Cl values of 0.0 ‰ to +0.1 ‰, suggesting that the convecting mantle has an average δ37Cl value similar to seawater and chondrites. In contrast, metasomatized xenoliths span a range of δ37Cl values from +0.1 ‰ to +1.9 ‰, extending above the average convecting mantle value. The range in δ37Cl values can be explained by mixing between a subduction-related fluid with δ37Cl values between +1.0 ‰ and +1.9 ‰ and a shallow crustal fluid with a δ37Cl value less than +0.3 ‰. The most likely source of the high δ37Cl subduction-related signature is the lower crust in the subducted Farallon plate. Lower crustal Cl likely entered the SCLM either through direct dehydration of lawsonite ± phengite in the deeply subducted Farallon plate or from a mixed serpentinite-oceanic crust source in the subducted Farallon. Regardless of the mechanism, this study provides evidence for subduction of crustal Cl into the mantle, which can introduce isotopic heterogeneity into the SCLM and has implications for the volatile cycling in the HIMU mantle and SCLM.

Elevating community voices through inclusive science communication: a case study of the We are Water program in the Southwestern United States

Science communication plays a pivotal role in cultural engagement and life-long science learning. However, historically marginalized communities remain undervalued in these efforts due to practices that prioritize specific individuals, such as those who are affluent, college-educated, able-bodied, and already scientifically engaged. Science communicators can avoid these practices by acknowledging the intersecting historical and cultural dimensions surrounding science beyond those of the majority culture and practicing inclusive science communication efforts. Here, we define and describe the importance of inclusive science communication and outline how we use an asset-based community engagement framework in a place-based education program's communication practices with rural communities in the Southwestern United States. We describe how we designed our communication spaces, found our voice, and effectively communicate with non-English speaking and bilingual communities. We provide examples from the We are Water program, demonstrating how we utilize inclusive science communication practices to engage more widely with diverse communities and create space for community voices to be heard and shared. We conclude that the use of inclusive science communication strategies and an asset-based community engagement framework has allowed the We are Water program to connect with rural communities while communicating in a way that elevates historically marginalized voices, creates space for communities to share their own experiences through memories and stories, and honors diverse perspectives and ways of knowing.

Arizona Groundwater Explorer: interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA

Groundwater is an important water source in Arizona, accounting for about 41% of water use in this mostly arid-to-semiarid state in the southwestern United States, and the availability of groundwater resources in the state is a concern. To provide accessible information from depth-to-groundwater data, a series of web-based interactive maps were developed, called the Arizona Groundwater Explorer (AGEx). Scripts were written to harmonize and synthesize groundwater datasets from the two largest publicly available sources, subset these data to address different groundwater availability questions, and display the results in online, interactive maps. The combined dataset contained 1,820,122 depth-to-groundwater measurements from 1891 through 2022 from 41,918 wells in Arizona. Data views are provided for 20 topics, including recent (2020 or later) depth to groundwater (4,569 wells), historical (pre-1950) depth to groundwater (4,287 wells), wells with long-term (≥50 years) records (1,183 wells), wells with recent groundwater level decline (277 wells), wells with recent groundwater level rise (120 wells), and linear trends in groundwater levels over ten 10-year periods (number of wells ranging from 341 in 1978–1987 to 1,208 in 2003–2012), among others. With ongoing drought in the region resulting in declining surface-water supplies in Arizona, groundwater may play an even larger role in satisfying water needs in the state. The AGEx series of maps provides a nonspecialist audience with an improved understanding of historical, current, and changes in groundwater levels in Arizona.

Environmental Perception: A Comparison between Southwestern U.S. and Honduras Agricultural-related College Students

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.

Significant changes in cloud radiative effects over Southwestern United States during the COVID-19 flight reduction period

Aircraft-induced clouds (AICs) are one of the most visible anthropogenic atmospheric phenomena, which mimic the natural cirrus clouds and perturb global radiation budget by reducing incoming shortwave (SW) radiation and trapping outgoing longwave (LW) radiation. The COVID-19 pandemic has caused a 70 % global decline in flight numbers from mid-March to October 2020, which provided a unique opportunity to examine the climatic impact of AICs. Among various regions, Western Europe and the Contiguous United States experienced the most substantial reduction in air traffic during the COVID-19 pandemic. Interestingly, only the Southwestern United States demonstrated a significant decrease in cirrus clouds, leading to notable changes in shortwave (SW) and longwave (LW) cloud radiative effects. Such changes were likely due to the reduction in AICs. However, further investigations indicated that this region also experienced abnormal high pressure and low relative humidity in the middle and upper atmosphere, resulting in unusual subsidence and dryness that prohibit the formation and maintenance of cirrus cloud. While it remains challenging to quantify the exact climatic impact of reduced AICs, the remarkable anomalies documented in this study provide valuable observational benchmark for future modelling studies of the climatic impact AICs.

Aptian–Albian sequence stratigraphy, biostratigraphy, chemostratigraphy, and chronostratigraphy: Sonoran shelf and Tamaulipas Basin, Mexico

The Late Jurassic extensional Bisbee Basin in northwestern Mexico and southwestern United States lay between the Pacific magmatic arc and subduction zone and the cratonic Comanche shelf. Aptian to late Albian fluvial, deltaic, and shallow marine sediments and patch reefs of the Bisbee Group filled the basin. The upper Barremian(?)–lower Aptian Cerro de Oro Formation and its equivalent Rancho La Colgada Formation are overlain by the Morita, Mural, Cintura, and La Juana formations. The paralic Morita Formation and the marine Mural Limestone grade southeast into the marine Agua Salada and Lampazos formations, which correlate with deep-water facies in the Chihuahua trough and Tamaulipas Basin. Three late Aptian to middle Albian long-term depositional cycles were approximately 2.5 myr in duration.Foraminifers, calcareous algae, bivalves, rudists, corals, dinoflagellates and scarce ammonites compose the Mural Limestone biostratigraphy. First-occurrence datums of Aptian–Albian benthic Foraminifera are integrated with planktonic Foraminifera and rudists and define biostratigraphic zones that correlate with the Comanche shelf. In the Chihuahua trough and Tamaulipas Basin planktonic Foraminifera and nannofossils identify global zones. Stage boundaries on the Sonora shelf are correlated by a comprehensive biostratigraphic database.Carbon isotope chemozones correlate with Tethyan chemostratigraphy. The lower Aptian OAE 1a and uppermost Aptian–lowest Albian OAE1b chemozone are in the Lampazos section. The negative δ13C excursions and fossil evidence correlate with global Jacob, Kilian, Paquier, and Leenhardt levels. Low-oxygen water masses flooded the shallow shelf and even affected coral-rudist buildups.

A New Species of Catastega Clemens, 1861 (Lepidoptera: Tortricidae: Olethreutinae) from the Mountains of Southwestern USA and Mexico

A New Species of Catastega Clemens, 1861 (Lepidoptera: Tortricidae: Olethreutinae) from the Mountains of Southwestern USA and Mexico

Climate change and ecosystem shifts in the southwestern United States

Climate change shifts ecosystems, altering their compositions and instigating transitions, making climate change the predominant driver of ecosystem instability. Land management agencies experience these climatic effects on ecosystems they administer yet lack applied information to inform mitigation. We address this gap, explaining ecosystem shifts by building relationships between the historical locations of 22 ecosystems (c. 2000) and abiotic data (1970–2000; bioclimate, terrain) within the southwestern United States using ‘ensemble’ machine learning models. These relationships identify the conditions required for establishing and maintaining southwestern ecosystems (i.e., ecosystem suitability). We projected these historical relationships to mid (2041–2060) and end-of-century (2081–2100) periods using CMIP6 generation BCC-CSM2-MR and GFDL-ESM4 climate models with SSP3-7.0 and SSP5-8.5 emission scenarios. This procedure reveals how ecosystems shift, as suitability typically increases in area (~ 50% (~ 40% SD)), elevation (12–15%) and northing (4–6%) by mid-century. We illustrate where and when ecosystems shift, by mapping suitability predictions temporally and within 52,565 properties (e.g., Federal, State, Tribal). All properties had ≥ 50% changes in suitability for ≥ 1 ecosystem within them, irrespective of size (≥ 16.7 km2). We integrated 9 climate models to quantify predictive uncertainty and exemplify its relevance. Agencies must manage ecosystem shifts transcending jurisdictions. Effective mitigation requires collective action heretofore rarely instituted. Our procedure supplies the climatic context to inform their decisions.

Time and day: trends in student access to online asynchronous courses in communication demonstrate time poverty in action

ObjectiveAs changes to higher education following the rapid transition to online learning resulting from the COVID-19 pandemic impacted students and their perceptions of what is possible in scheduling their daily lives around school, this study investigates trends in student access to online asynchronous courses.MethodsThis study utilized course reports of student access from the learning management system for thirty-one sections of eleven different online asynchronous communication courses taught by ten different faculty members over the fall and spring semesters at a large research university in the southwestern United States. A total sample size of 1,201 students were involved in the study.ResultsProfile Analyses indicate clear curvilinear trends for time of day and day of the week in student course access. Repeated Measures ANOVA results indicate those trends vary significantly from a no effect condition, suggesting that students: (a) schedule their course activities around personal schedules, and (b) that time bound synchronous course may not work for them.ConclusionRecommendations for class management by instructors relating to student time poverty need regardless of teaching modality, and future directions for research on time poverty in higher education, are provided.

Two-Dose Ceftiofur Treatment Increases Cephamycinase Gene Quantities and Fecal Microbiome Diversity in Dairy Cows Diagnosed with Metritis.

Antimicrobial resistance is a significant concern worldwide; meanwhile, the impact of 3rd generation cephalosporin (3GC) antibiotics on the microbial communities of cattle and resistance within these communities is largely unknown. The objectives of this study were to determine the effects of two-dose ceftiofur crystalline-free acid (2-CCFA) treatment on the fecal microbiota and on the quantities of second-and third-generation cephalosporin, fluoroquinolone, and macrolide resistance genes in Holstein-Friesian dairy cows in the southwestern United States. Across three dairy farms, 124 matched pairs of cows were enrolled in a longitudinal study. Following the product label regimen, CCFA was administered on days 0 and 3 to cows diagnosed with postpartum metritis. Healthy cows were pair-matched based on lactation number and calving date. Fecal samples were collected on days 0, 6, and 16 and pooled in groups of 4 (n = 192) by farm, day, and treatment group for community DNA extraction. The characterization of community DNA included real-time PCR (qPCR) to quantify the following antibiotic resistance genes: blaCMY-2, blaCTX-M, mphA, qnrB19, and the highly conserved 16S rRNA back-calculated to gene copies per gram of feces. Additionally, 16S rRNA amplicon sequencing and metagenomics analyses were used to determine differences in bacterial community composition by treatment, day, and farm. Overall, blaCMY-2 gene copies per gram of feces increased significantly (p ≤ 0.05) in the treated group compared to the untreated group on day 6 and remained elevated on day 16. However, blaCTX-M, mphA, and qnrB19 gene quantities did not differ significantly (p ≥ 0.05) between treatment groups, days, or farms, suggesting a cephamycinase-specific enhancement in cows on these farms. Perhaps unexpectedly, 16S rRNA amplicon metagenomic analyses showed that the fecal bacterial communities from treated animals on day 6 had significantly greater (p ≤ 0.05) alpha and beta diversity than the untreated group. Two-dose ceftiofur treatment in dairy cows with metritis elevates cephamycinase gene quantities among all fecal bacteria while paradoxically increasing microbial diversity.

Characterizing fungal communities on Mojave desert tortoises (Gopherus agassizii) in Arizona to uncover potential pathogens

The Mojave Desert tortoise (Gopherus agassizii) is a threatened reptile endemic to the southwestern United States. There are many factors contributing to its population decline such as human-driven habitat destruction and infectious diseases, which might include emerging fungal pathogens. We analyzed the fungal communities of two tortoises from northwest Arizona and compared the host mycobiome to the burrow mycobiome. Our main goal was to characterize the fungal community living on the Mojave Desert tortoise and to determine whether there are differences in community composition and potential pathogen abundance between the soil from burrows and tortoises’ mycobiome. Dissimilarities in communities would indicate that there are fungi adapted to the animal niche that are rarely present in soil and vice versa. Metagenomic analysis of ITS2 amplicons revealed significant differences in fungal communities between the substrate and samples taken from the animals. The tortoise samples show higher alpha diversity than the soil and are distinct from soil samples based on beta diversity analysis. We observed significantly greater relative abundance of potential fungal pathogens from the order Onygenales in the tortoise samples than the soil. These mycobiome data suggest that there is a unique fungal community occupying the desert tortoise host niche and this community contains a higher relative abundance of potential fungal pathogens. We argue that these fungi may pose a risk for increased morbidity and mortality among desert tortoises, which can in turn drive population decline.

PSIV-23 Activity Classification of Grazing Cows on Desert Rangeland in the Southwestern United States

Abstract Monitoring cattle on rangelands is a daunting task that can be improved by using wearable sensors that are capable of transmitting motion and position data in real time and at low cost. This study tested the performance of machine learning (ML) classifiers to discriminate among foraging activities of cows based on triaxial accelerometer data collected in real-time by LoRa WAN networks. Trials were conducted at the New Mexico State University Chihuahuan Desert Rangeland Research Center and the USDA Jornada Experimental Range in Doña Ana County, NM. A total of 24 Brangus, Brahman, Raramuri Criollo and Angus x Hereford mature cows fitted with LoRa WAN tracking collars housing GPS and triaxial accelerometers were monitored across four periods during the 2022 summer and fall seasons on desert rangeland pastures. Trackers integrated and transmitted activity count (Ac) data from accelerometers at one-minute intervals. Video recording of focal cows (n = 24) was undertaken during daylight hours (0630 to 2000 h) from a distance of ~30 m to minimize interference with natural behaviors. A total of 168 hours of video were recorded and inspected by an experienced observer to label video files according to a classification tree of four main activities: grazing (GR), walking (WA), resting (RE) and ruminating (RU), and two states: active (AC) or static (ST). Individualized activities and states were considered when cows performed the same predefined activity or state for more than 30 secs. Retrieved sensor data from collar trackers were labeled by state and activity according to labels collected from video records. This classification resulted in a dataset containing 9,222 events, including 3,928 for GR, 2,286 for WA, 2,032 for RE, and 976 for RU, as well as 6,214 labels for AC and 3,008 labels for ST. Deep learning through Multilayer Perceptron Classifiers (MLPC) were coded and implemented using a split configuration of 70% of the data for training and 30% for testing, respectively. In preliminary runs, models had reduced ability to properly discriminate among RE (F1 = 0.42) and RU (F1 = 0.43) Thus, RE and RU were merged on subsequent tests, resulting in 3,928 labels for GR, 2,286 labels for WA, and 3,008 labels for merged RE. Deep learning models successfully classified between AC vs. ST behavior with an overall F1 performance score of 0.96. Further use of the same deep learning models successfully classified among GR, WA, and RE activities with an overall F1 performance score of 0.91, suggesting satisfactory application of the trained models to monitor cattle grazing activities on desert rangeland.

Evapotranspiration and Yield Impact Tools for More Water-Use Efficient Alfalfa Production in Desert Environments

Drought and climate change have decreased water availability for agriculture, especially in the desert of southwestern USA. Efficiency enhancements in irrigation management aimed at conserving water are key to adjust to limits in water supply, improve profitability and sustainability of alfalfa production in arid and semiarid areas. This study intended to conduct a field-scale analysis to develop yield and ET estimation tools for the effective use of irrigation water in a desert alfalfa production system. Extensive data collection and trials were carried out over three years in nine fully irrigated commercial alfalfa fields in the low deserts of California. The seasonal crop water consumption measured using the residual of energy balance method varied from 1381 mm to 1596 mm across the experimental sites and crop seasons. Variable seasonal dry mater (DM) yields ranged from 23.01 Mg ha−1 to 29.90 Mg ha−1. The results indicated that the first five cuttings each year were the most productive cuttings with a mean DM value ranged between 3.29 (cut 1) and 4.21 (cut 4) Mg ha−1 but declined in later cuttings. An average annual water productivity (WP) value of 17.0 kg ha−1 mm−1 was determined across the sites varying from 15.5 to 18.9 kg ha−1 mm−1. The findings suggested that one may lose up to 1.44 Mg ha−1 alfalfa yields with moderate summer deficit irrigation strategies, using 40% less water applied than full irrigation practices over the summer period of July–September. A more severe summer water deficit, with no irrigation event over the summer period of July–September may result in a potential water savings of 0.234–0.246 (ha·m) ha−1 and 19–21% seasonal yield losses in the desert environment. This study describes the seasonal yield pattern, the crop water use-production function, and the crop coefficient values for various harvest cycles over the crop season. These tools may assist farmers to quantify water savings and estimate yield losses for more accurate and effective irrigation management strategies to meet water conservation objectives and for the resiliency of alfalfa production in the desert region.

Ability of seedlings to survive heat and drought portends future demographic challenges for five southwestern US conifers.

Climate change and disturbance are altering forests and the rates and locations of tree regeneration. In semi-arid forests of the southwestern USA, limitations imposed by hot and dry conditions are likely to influence seedling survival. We examined how the survival of 1-year seedlings of five southwestern US conifer species whose southwestern distributions range from warmer and drier woodlands and forests (Pinus edulis Engelm., Pinus ponderosa Douglas ex C. Lawson) to cooler and wetter subalpine forests (Pseudotsuga menziesii (Mirb.) Franco, Abies concolor (Gord. & Glend.) Lindl. Ex Hildebr. and Picea engelmannii Parry ex Engelm.) changed in response to low moisture availability, high temperatures and high vapor pressure deficit in incubators. We used a Bayesian framework to construct discrete-time proportional hazard models that explained 55-75% of the species-specific survival variability. We applied these to the recent climate (1980-2019) of the southwestern USA as well as 1980-2099 CMIP5 climate projections with the RCP8.5 emissions pathway. We found that the more mesic species (i.e., P. menziesii, A. concolor and P. engelmannii) were more susceptible to the effects of hot and dry periods. However, their existing ranges are not projected to experience the conditions we tested as early in the 21st century as the more xeric P. edulis and P. ponderosa, leading to lower percentages of their existing ranges predicted to experience seedling-killing conditions. By late-century, extensive areas of each species southwestern range could experience climate conditions that increase the likelihood of seedling mortality. These results demonstrate that empirically derived physiological limitations can be used to inform where species composition or vegetation type change are likely to occur in the southwestern USA.

19 The Relationship Between Apathy and Cognitive Impairment Among Hispanic/Latin Americans: A Systematic Review

Objective:Evaluate measures used to operationalize apathy in relation to cognitive impairment among Hispanic/Latin Americans and synthesize associations of apathy with cognitive impairment.Participants and Methods:A systematic review of the available literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted. This review covered studies on the relationship between apathy and cognitive impairment among Hispanic/Latin Americans across normal aging and neurocognitive disorders. The first stage of the review consisted of collecting all publications that contained (1) English or Spanish-speaking participants, (2) with measures for reported apathy, (3) assessment of cognitive functioning or diagnosis of neurocognitive disorder, (4) with Hispanic/Latin Americans represented in the sample. There was no limit regarding publication date. The required minimum of H/L participants in selected studies was determined based on a standard of representation in the United States general population, which is around 18.5%. In the second stage of the review, studies were screened excluding all studies that did not meet the criteria.Results:Thirteen, 37, and 17 studies were identified by APA PsychInfo, EMBASE, and PubMed, respectively. After removing 19 duplicate records, 48 reports were then assessed for eligibility. Thirty-five of those reports were missing apathy and cognition associations, were under-reported in information such as conference abstracts, or were missing adequate representation of H/L participants. This resulted in a total of 13 papers included in this review. Of the eleven cross-sectional studies, nine demonstrated significant differences or associations between apathy and cognitive status, one demonstrated a descriptive difference between apathy and cognitive status (i.e., no hypothesis test conducted), while one demonstrated null effects. All effects suggested that as apathy increased, cognitive impairment increased. These cross-sectional studies spanned across Säo Paulo, Brazil, Los Angeles, California, West Texas, Cuba, the Dominican Republic, Peru, Venezuela, Mexico, Puerto Rico, and Southwestern United States. This included community and clinic samples of participants. Of the two longitudinal studies, they both demonstrated non-significant associations of apathy and cognitive status. One study in Mexico suggested a risk ratio over 1 where apathy was non-significantly associated with dementia risk, while the other study in Texas, United States had hazard ratios below 1 where apathy was non-significantly associated with mild cognitive impairment risk.Conclusions:The Neuropsychiatric Inventory (NPI) apathy subscale was the most used measure for apathy in this review (81.8% of included studies). However, a recent systematic review on apathy measurement in older adults and people with dementia specifically stated that the apathy dimension commonly used in the NPI should not be employed outside of screening for apathy. This suggests potential bias and poor evidence in the current literature consisting of apathy research with H/Ls. Longitudinal studies evaluating the utility of examining apathy in relation to cognitive impairment with diverse ethnoracial groups, in addition to Hispanic/Latin Americans, are warranted. Assessing construct equivalence of apathy across demographic characteristics such as language, education, and informant characteristics should be conducted to elucidate potential biases in measurement.

Aggressive periodontitis in southwestern American Indian adolescents.

This study determined the prevalence of aggressive (molar-incisor pattern) (Ag/MI) periodontitis and assessed the associated subgingival bacterial-herpesvirus microbiota in Pueblo Indian adolescents in the southwestern United States. The study included 240 Pueblo Indian adolescents, aged 13-20years old, residing in three Rio Grande River villages in New Mexico and the Hopi Pueblo reservation in Arizona. Adolescents with Ag/MI periodontitis or periodontal health provided subgingival samples for culture of bacterial pathogens and for polymerase chain reaction detection of periodontal herpesviruses. Ag/MI periodontitis was detected in 22 (9.2%) Pueblo Indian adolescents, with 21 exhibiting a localized molar-incisor breakdown pattern. Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, and other red/orange complex bacterial pathogens predominated in Ag/MI periodontitis, whereas periodontal health yielded mainly viridans streptococci and Actinomyces species. Periodontal herpesviruses demonstrated a 3.5 odds ratio relationship with Ag/MI periodontitis. The only adolescent with generalized Ag/MI periodontitis harbored viral co-infection by cytomegalovirus plus Epstein-Barr virus Type 1, in addition to A. actinomycetemcomitans, P. gingivalis, and several other periodontopathic bacteria. Pueblo Indian adolescents showed an unusually high prevalence of early-age Ag/MI periodontitis predominated by periodontopathic bacteria and herpesviruses suspected to be major etiologic agents of the disease.

Development and initial evaluation of a visualization tool for multidisciplinary treatment discussion of patients with pancreatic cancer.

585 Background: Pancreatic cancer is the third leading cause of cancer death in the United States; it is a complex disease requiring coordinated patient care. Multidisciplinary tumor boards (MTB) are today's gold standard in pancreatic cancer but are frequently criticized for being time-intensive and inefficient. To address this issue, Cancer Collective and Hive Networks have developed a novel patient-information visualization tool designed to improve the communication and efficiency of multidisciplinary tumor board meetings. This pilot study investigated the patient-information visualization tool's usability, efficiency, and feasibility in pancreatic cancer tumor board meetings. Methods: A prospective multi-center pilot study was conducted at Northwell Health (a comprehensive community cancer program [NCCCP] in the Northeastern United States) and the University of California San Diego (an NCI-designated comprehensive cancer center in [NCCC] in the Southwestern United States. The feasibility of the tool was assessed by measuring the percentage of MTB cases discussed that used the patient-information visualization tool. The usability and efficiency of the tool were assessed via Likert scale questions. Acceptable usability and effectiveness were defined as a 70% score or higher. Additionally, MTB participants were queried for input on design improvements for future iterations and expected future directions of tool use. Results: The patient-information visualization tool was rolled out on 07/22/2022 at the NCCP and NCCC. From 07/22/2022-05/31/2023, 170 (92%) MTB cases were reviewed at the NCCP. From 07/22/2022-05/31/2023, 74 cases (100%) of MTB cases were reviewed using the patient-information visualization tool at the NCCP. The NCCP (n=9) mean scores for usability and efficiency were 4.31 (86%) and 4.17 (83%) respectively. The NCCC (n=6) mean scores for usability and efficiency were 4.04 (81%) and 3.96 (79%) respectively. Qualitative feedback, reported on survey open-ended questions, included suggested enhancements to improve the tool’s usability, such as leveraging data automation to reduce data entry burden, improving the user interface for ease of data visualization, and adding additional data elements (e.g., specific procedure and appointment details) to improve decision-making utility. Conclusions: Implementing the novel digital dashboard to visualize pancreatic cancer patient data was highly feasible, usable, and efficient. Future directions of tool use include refining based on qualitative feedback from end users and planning for data automation and interoperability with the EMR.

Seasonal Storm Characteristics Govern Urban Flash Floods: Insights from the Arid Las Vegas Wash Watershed

Abstract In the arid and semiarid southwestern United States, both cool- and warm-season storms result in flash flooding, although the former storms have been much less studied. Here, we investigate a catalog of 52 flash-flood-producing storms over the 1996–2021 period for the arid Las Vegas Wash watershed using rain gauge observations, reanalysis fields, radar reflectivities, cloud-to-ground lightning flashes, and streamflow records. Our analyses focus on the hydroclimatology, convective intensity, and evolution of these storms. At the synoptic scale, cool-season storms are associated with open wave and cutoff low weather patterns, whereas warm-season storms are linked to classic and troughing North American monsoon (NAM) patterns. At the storm scale, cool-season events are southwesterly and southeasterly under open wave and cutoff low conditions, respectively, with long duration and low to moderate rainfall intensity. Warm-season storms, however, are characterized by short-duration, high-intensity rainfall, with either no apparent direction or southwesterly under classic and troughing NAM patterns, respectively. Atmospheric rivers and deep convection are the principal agents for the extreme rainfall and upper-tail flash floods in cool and warm seasons, respectively. Additionally, intense rainfall over the developed low valley is imperative for urban flash flooding. The evolution properties of seasonal storms and the resulting streamflows show that peak flows of comparable magnitude are “intensity driven” in the warm season but “volume driven” in the cool season. Furthermore, the distinctive impacts of complex terrain and climate change on rainfall properties are discussed with respect to storm seasonality.

Regulation of Southwestern United States Precipitation by non-ENSO Teleconnections and the Impact of the Background Flow

Abstract In this study, we analyze drivers of non–El Niño–Southern Oscillation (ENSO) precipitation variability in the Southwest United States (SWUS) and the influence of the atmospheric basic state, using atmosphere-only and ocean–atmosphere coupled simulations from the Community Earth System Model version 2 (CESM2) large ensemble. A cluster analysis identifies three main wave trains associated with non-ENSO SWUS precipitation in the experiments: a meridional ENSO-type wave train, an arching Pacific–North American-type (PNA) wave train, and a circumglobal zonal wave train. The zonal wave train cluster frequency differs between models and ENSO phase, with decreased frequency during El Niño and the coupled runs, and increased frequency during La Niña and the atmosphere-only runs. This is consistent with an El Niño–like bias of the atmospheric circulation in the coupled model, with strengthened subtropical westerlies in the central and eastern North Pacific that cause a retraction of the waveguide in the midlatitude eastern North Pacific. As such, zonal wave trains from the East Asian jet stream (EAJS) are more likely to be diverted southward in the east Pacific in the coupled large ensemble, with a consequently smaller role in driving SWUS precipitation variability. This study illustrates the need to reduce model biases in the background flow, particularly relating to the jet stream, in order to accurately capture the role of large-scale teleconnections in driving SWUS precipitation variability and improve future forecasting capabilities.

The Relatioship Between Work Motivation and Subjective Career Success for Latina Healthcare Managers: A Correlational Study

Abstract Background: The purpose of this study was to determine if, and to what extent, there was a significant relationship between work motivation and subjective career success among Latina healthcare managers working in the Southwestern United States. Methods: A correlational study was conducted. A total of 210 Latina healthcare managers participated in the study. Data were collected using the Work-related Basic Need Satisfaction Survey, Subjective Career Success Inventory, and a demographic survey. Pearson correlations were conducted to address the study’s research questions. Results: There was a significant moderate positive correlation between subjective career success, the work motivation subscale of autonomy (r = .535 p < .001), and the work motivation sub-dimension of competence as assessed by Pearson correlations (r = .488, p < .001). Conclusions: The study findings may indicate the need for additional social improvement and awareness programs to improve Latina's work motivation or increase expectations to close the performance gap. In addition, the findings demonstrated the significance of the relationship between work motivation and subjective career success among Latina healthcare practitioners in the Southwestern United States. Findings from the analysis advanced practitioners' knowledge of work motivation and subjective career success and implications for training.