Central Valley Of California Research Articles

Crimmigration Practices and Narratives Resisting and Justifying Mass Deportation in the Central Valley of California

Crimmigration Practices and Narratives Resisting and Justifying Mass Deportation in the Central Valley of California

Estimating the benefits of floodplain restoration to juvenile Chinook salmon in the upper San Francisco Estuary, United States, under future climate scenarios

Many river systems within the Central Valley of California have been disconnected from their floodplains, hypothesized to be partially responsible for declining Chinook salmon populations (Oncorhynchus tshawytscha). The primary floodplain of the system, Yolo By‐Pass (known regionally as “Yolo Bypass”), offered an opportunity to examine whether improved connectivity between the floodplain and river could limit negative climate change effects on salmon populations. Specifically, the top of the floodplain (Fremont Weir) is being modified to provide Sacramento River Chinook salmon better access to floodplain rearing habitat. We estimated restoration effects on the Yolo By‐Pass flood regime now and under future climate scenarios using flow rating curves. Additionally, we used temperature and flow‐specific effects on Chinook salmon population dynamics within the Yolo By‐Pass and Sacramento River complex to describe how the restoration project and climate change may interact to affect juvenile Chinook salmon biomass production. Our results indicate that the Fremont Weir restoration project will extend the frequency, timing, and duration of Yolo By‐Pass flooding. Our production model indicates that the modification will result in greater salmon entrainment rates into the Yolo By‐Pass, where salmon growth rates, survival rates, and biomass production were higher when compared to the Sacramento River main stem. The project appears to benefit all regional runs of Chinook salmon, which should help support life history diversity. Our results suggest that the weir modification should benefit native fish from the Central Valley that use floodplain habitat and that these benefits may be resilient to challenges created by a changing climate.

A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards

The almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley were equipped with eddy covariance flux measurements to evaluate satellite remote sensing-based evapotranspiration (RSET) models. OpenET provides high-resolution (30-m spatial and daily temporal) RSET data, synthesizing decades of research for practical water management. This study provides an evaluation of OpenET performance at six almond sites covering a large range in soils, age, and variety. It also compares OpenET ensemble evapotranspiration (ET) data with applied irrigation and precipitation records over an additional 148 almond orchards located in the Central Valley of California. Results show OpenET models, including the ensemble ET value, produced reasonable and actionable ET values, with overall coefficient of determination (R2) and mean absolute error values of 0.73- and 0.95-mm d−1 at the daily time step, respectively. However, given the temporal sampling of Landsat (8-day revisit) and the interpolation methods used, the assessed ET models had difficulty in capturing short-term variability in almond ET; for example, the rapid decline in measured ET observed as a response to lack of irrigation preceding and during almond harvest. The study also drew attention to the spatial complexity in scenarios where irrigated orchards are surrounded by hot/dry areas, causing discrepancies between measured and modeled ET values. In comparison with irrigation records, OpenET ensemble ET was capable of quantifying water input (applied irrigation + precipitation) in almond orchards to within 13 % when evaluating monthly data. Initial results presented here reinforce the idea that RSET models, such as in OpenET, are powerful tools, yet their application requires nuanced understanding and careful consideration of local conditions.

Evaluating the seasonal effects of whole orchard recycling on water movement and nitrogen retention for a newly established almond orchard: Simulation using HYDRUS-1D

Whole orchard recycling (WOR) is an emerging practice in perennial cropping systems and is an alternative to open or cogeneration burning. It is an orchard removal practice that incorporates large amounts of woody biomass back into the soil system. In this study, we utilized a soil hydrological model (HYDRUS-1D) to evaluate the seasonal effects of WOR on water movement and nitrogen (N) retention for a newly established almond orchard on a typical sandy loam soil in the Central Valley of California. Soil moisture and N content were monitored across the first five growing seasons from 2018 to 2022. The model was able to track seasonal moisture fluctuation nicely compared to observed data. Additionally, an increase in soil moisture was measured in the WOR treatments in surface soil (i.e., 0- to 15-cm depths) where biomass was incorporated, and N leaching was reduced when compared to the unamended control. Simulations suggest that with WOR, irrigation can be reduced by up to 20 % during the tree establishment stage with minimal effect on root water uptake. This reduction in applied water can increase farm water use efficiency and reduce operational expenses, e.g., cost of water and pumping. Likewise, the reduction in N leaching observed in both predicted results and laboratory analysis can further cut farm capital costs, e.g., fertilization, and lessen orchard environmental impacts. Overall, results from our simulation show a positive effect of WOR on soil ecosystem services and can potentially be a profitable strategy for orchard turnover. The results have important implications in reducing groundwater nitrate contamination in irrigated agriculture in the Central Valley of California and applicable to most parts of Southwestern United States.

Groundwater Sustainability and Land Subsidence in California’s Central Valley

The Central Valley of California is one of the most prolific agricultural regions in the world. Agriculture is reliant on the conjunctive use of surface-water and groundwater. The lack of available surface-water and land-use changes have led to pumping-induced groundwater-level and storage declines, land subsidence, changes to streamflow and the environment, and the degradation of water quality. As a result, in part, the Sustainable Groundwater Management Act (SGMA) was developed. An examination of the components of SGMA and contextualizing regional model applications within the SGMA framework was undertaken to better understand and quantify many of the components of SGMA. Specifically, the U.S. Geological Survey (USGS) updated the Central Valley Hydrologic Model (CVHM) to assess hydrologic system responses to climatic variation, surface-water availability, land-use changes, and groundwater pumping. MODFLOW-OWHM has been enhanced to simulate the timing of land subsidence and attribute its inelastic and elastic portions. In addition to extending CVHM through 2019, the new version, CVHM2, includes several enhancements as follows: managed aquifer recharge (MAR), pumping with multi-aquifer wells, inflows from ungauged watersheds, and more detailed water-balance subregions, streamflow network, diversions, tile drains, land use, aquifer properties, and groundwater level and land subsidence observations. Combined with historical approximations, CVHM2 estimates approximately 158 km3 of storage loss in the Central Valley from pre-development to 2019. About 15% of the total storage loss is permanent loss of storage from subsidence that has caused damage to infrastructure. Climate extremes will likely complicate the efforts of water managers to store more water in the ground. CVHM2 can provide data in the form of aggregated input datasets, simulate climatic variations and changes, land-use changes or water management scenarios, and resulting changes in groundwater levels, storage, and land subsidence to assist decision-makers in the conjunctive management of water supplies.

An exploratory analysis of the structure of tetranychid and phytoseiid assemblages in walnut orchards in California.

Spider mites were considered secondary pests of walnut production in California, under the control of phytoseiid predators. Due to increased importance as walnut pests in recent decades there is renewed interest in the structure and function of the associated phytoseiid assemblage. In this study we report the results from a 3 year survey of the tetranychid and phytoseiid assemblages in walnut orchards in the Central Valley of California. The survey was conducted to determine the range and dominance of web-spinning Tetranychus species present, to investigate the species richness and dominance of the phytoseiid species present, and to explore whether patterns of variation in the relative abundance of phytoseiid species could be explained by one or more explanatory variables. Tetranychus urticae was the dominant spider mite in all growing regions and years with T. pacificus and T. turkestani also present in orchards in the southern San Joaquin Valley. Phytoseiid species richness declined with latitude among the three walnut growing regions and of the 13 species found Amblyseius similoides, Euseius stipulatus, Galendromus occidentalis and Typhlodromus caudiglans were the most abundant and widespread species present. Mean proportional abundance significantly increased from early (mid May-July) to late (August-mid October) season and from southern to northern growing regions for Type II and IV predators, but significantly decreased from early to late season and from southern to northern growing regions for Type III predators. The mean proportional abundance of Type II predators, particularly G. occidentalis, significantly increased and that of Type III predators significantly decreased with mean Tetranychus density in individual orchards. The current survey provides a more in-depth analysis of mite assemblages in walnut orchards in California and can be used to better inform adaptive management strategies for integrated mite management in the future.

Registration of four pest‐resistant long bean germplasm lines

AbstractLong bean (Vigna unguiculata subsp. sesquipedalis, asparagus bean, Asian yardlong bean), the vegetable type of cowpea [Vigna unguiculata (L.) Walp], is a climate‐resilient and nutritious food legume grown by Southeast Asian farmers in the Central Valley of California and marketed to Asian immigrant communities across the United States. Insect pests are major threats, reducing yield and quality of all current lines. Modern plant breeding protocols and extension activities were implemented to develop resistant lines using sources of natural resistance found in African cowpea germplasm. Three aphid‐resistant long bean lines, Dark Green 1994 (Reg no. GP‐320, PI 702995), Light Green 2055 (Reg. no. GP‐321, PI 702996), and Purple 2056 (Reg. no. GP‐322, PI 702997), were developed by introgression of two known quantitative trait loci (QTL) for aphid resistance into three local elite lines through marker‐assisted backcrossing (MABC). One bush‐type long bean line, Bush 2074 (Reg. no. GP‐319, PI 702994), carrying two known QTL for root‐knot nematode resistance, was also developed to enable scaling up production and to improve nematode management in large‐scale commercial farming. These improved lines were evaluated in controlled experiments which also served in outreach activities to enable adoption. Each of these advanced lines, when forming a near‐isogenic pair with its recurrent parent, can provide useful genetic materials for resistance gene discovery.

Temperature Influence on Aedes aegypti Oviposition in the San Joaquin Valley of California.

The establishment and oviposition of Aedes aegypti can vary from one location to another partially due to differing temperature and precipitation. In 2017, Ae. aegypti was first detected in Merced in the Central Valley of California. The objectives of this study were to examine the influence of temperature and precipitation on oviposition of Ae. aegypti, and to determine the beginning and end of the seasonal activity of Ae. aegypti in Merced. The study site consisted of a residential area in the north-east region of Merced where Ae. aegypti was first detected in Merced County. Fifty-four residences were randomly selected as ovitrap sites. Ovitraps were placed at field sites weekly for 12 months, from September 27, 2017, to September 27, 2018. Each week, ovitraps were inspected for the presence of mosquito eggs. Egg counts were used to calculate the following oviposition indices: the ovitrap index (OI) (percent of traps positive) and the egg density index (EDI) (eggs/positive traps). Oviposition occurred primarily from May through October, above a minimum temperature of 10°C, and when almost no rainfall occurred (0.5 mm total). During the year, the percent of positive traps per month ranged from approximately 1.2-67.3%, with highest values in June to October (43.9-67.3%). The highest mean monthly EDI was from July to October (34-44.6) and peaked in October at 44.6 eggs/trap. The EDI values are similar to other locations where Ae. aegypti transmits endemic vector-borne disease. These findings provide baseline data for Ae. aegypti control in Merced and the Central Valley of California.

Grapevine bacterial communities display compartment-specific dynamics over space and time within the Central Valley of California

BackgroundPlant organs (compartments) host distinct microbiota which shift in response to variation in both development and climate. Grapevines are woody perennial crops that are clonally propagated and cultivated across vast geographic areas, and as such, their microbial communities may also reflect site-specific influences. These site-specific influences along with microbial differences across sites compose ‘terroir’, the environmental influence on wine produced in a given region. Commercial grapevines are typically composed of a genetically distinct root (rootstock) grafted to a shoot system (scion) which adds an additional layer of complexity via genome-to-genome interactions.ResultsTo understand spatial and temporal patterns of bacterial diversity in grafted grapevines, we used 16S rRNA amplicon sequencing to quantify soil and compartment microbiota (berries, leaves, and roots) for grafted grapevines in commercial vineyards across three counties in the Central Valley of California over two successive growing seasons. Community composition revealed compartment-specific dynamics. Roots assembled site-specific bacterial communities that reflected rootstock genotype and environment influences, whereas bacterial communities of leaves and berries displayed associations with time.ConclusionsThese results provide further evidence of a microbial terroir within the grapevine root systems but also reveal that the microbiota of above-ground compartments are only weakly associated with the local soil microbiome in the Central Valley of California.

Movement behavior, habitat selection, and functional responses to habitat availability among four species of wintering waterfowl in California

IntroductionHabitat selection analyses provide a window into the perceived value of habitats by animals and how those perceptions compare with other animals, change across time, or change in relation to availability (termed functional responses). Habitat selection analysis and functional responses can be used to develop strategies to avoid habitat limitations, guide habitat management, and set attainable conservation goals. GPS relocations of marked animals are the principal data used in habitat selection analysis. The accuracy and frequency with which tracking devices collect data are increasing and may result in non-stationary point processes that result from latent behaviors previously unidentifiable in sparse data.MethodsWe investigated non-stationary step length distributions and integrated a two-mixture model of animal movement with step selection analysis to identify patterns of activity among four species of co-occurring waterfowl that winter in the Central Valley of California, United States. We evaluated relative strength of selection and compared functional responses across a range of habitat types for two goose and two dabbling duck species.ResultsGoose species (greater white-fronted goose [Anser albifrons] and lesser snow goose [Anser caerulescens caerulescens]) used habitats similarly and displayed similar functional responses with habitat availability. Northern pintail (Anas acuta) displayed functional responses for habitats that provided primary food resources and sanctuary from hunting that were more similar to geese than to mallard (Anas platyrhynchos), which expressed a more generalist pattern of habitat selection.DiscussionOur results define conditions where food resource competition between geese and ducks could operate, which indicate that some species may be more impacted than others. Specifically, early season food limitation may manifest more strongly in snow geese due to longer movements and stronger functional response with rice availability. Late season limitations may manifest in northern pintail, which remain reliant on rice later but may not be reflected in habitat selection patterns due to a consistent functional response with rice availability. We show that multiple movement processes present in high-resolution data can be used to obtain a variety of information about animal behavior and that subsequent step selection analyses may demonstrate unique functional responses relative to alternate habitat selection methods that warrant additional investigation.

Prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and feline enteric coronavirus (FECV) in shelter-housed cats in the Central Valley of California, USA.

Non-human animals are natural hosts for the virus causing COVID-19 (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) and a diversity of species appear susceptible to infection. Cats are of particular concern because of their close affiliation with humans and susceptibility to infection. Cats also harbour feline enteric coronavirus (FECV). Our objectives were to document the prevalence of SARS-CoV-2 and FECV in feline populations with high turnover and movement among households in the Central Valley of California, USA. A cross-sectional study of 128 shelter and foster cats and kittens in the Central Valley of California was performed from July to December 2020. PCR was performed on rectal and oropharyngeal samples to detect SARS-CoV-2 RNA and on rectal samples to detect FECV RNA. Among 163 rectal and oropharyngeal fluid samples gathered from sheltered and fostered cats and kittens in central California, SARS-CoV-2 nucleic acids were not detected from any cat or kitten. In contrast, FECV nucleic acids were detected in 18% of shelter-housed cats; 83% of these positive samples were collected from cats housed in adjacent cages. These data may be helpful when considering the allocation of resources to minimise the harm of FECV and SARS-CoV-2 in household pets and shelter environments.

An Analysis of Micro-scale Conflict in Collaborative Governance

Abstract Conflict is the forgotten sibling of collaborative governance. Variably framed as an alternative to collaboration, a contextual feature shaping interpersonal interactions, or an obstacle to be overcome via deliberation, conflict lurks in the background of discourse about collaboration. However, few theories of collaboration directly address the role of conflict, and those that do focus on conflict as a macro-scale phenomenon, characteristic of a governance forum or participating organizations. Given the importance of short term, person-to-person interactions in shaping the overall trajectory of collaborative dynamics and outcomes, a micro-scale analysis of collaborative conflict is warranted. This article develops a framework for evaluating the role of micro-scale conflict in collaborative governance, drawing on the case of negotiations to relicense hydropower dams in the Central Valley of California, USA. Data sources include 4 years of meeting observations, interviews with participating stakeholders, and written comments submitted during the process. The work first classifies all instances of disagreement observed during the negotiations to develop a typology of micro-scale conflict. It then compares differences in the frequency, type, and management of disagreements in high and low collaboration relicensings to explore the interaction between conflict dynamics and overall collaborative approach. In the high collaboration case, interpersonal disagreements occurred frequently, were more dynamic and mutable over time, and served to elaborate and refine management approaches. By evaluating conflict dynamics that occur at the scale of an individual interaction and the positive and negative roles they play in shaping collaborative outcomes, this research moves conflict from being a static barrier or contextual factor to a dynamic ingredient that can be managed to shape policy outcomes.

First Report of Botrytis californica Causing Gray Mold on Blueberry in China.

Blueberry (Vaccinium corymbosum) is a perennial shrub which grows in acid soil. Its cultivation area has recently expanded rapidly due to its unique flavor and high nutritional value (Silver and Allen 2012). In June 2021, gray mold symptoms (8 to 12% incidence) were observed on harvested fruits of the blueberry cultivar 'Lanmei 1' during storage in Jiangning (31°50'N, 118°40'E), Nanjing, China. The infection started with wrinkles, atrophy, and depressed spots on the fruit surfaces, ultimately resulting in fruit rot. To determine the causal agent, diseased fruits were sampled and rinsed with sterile water (Gao et al. 2021). Small fragments (5 × 5 × 3 mm) of decayed tissues were excised and plated onto acidified potato dextrose agar (PDA) (containing 4 ml of 25% lactic acid per liter). Plates were incubated at 25°C for 3 to 5 days, and edges of fresh culture were transferred onto new plates. This procedure was repeated thrice to obtain pure cultures. Two isolates (BcB-1 and BcB-2) were obtained. Their colonies appeared whitish to gray, with an average daily growth rate of 11.3 ± 0.6 mm (no. of plates = 30). Conidiophores were long and erect, 2560.9 to 4885.3 μm × 10.7 to 13.0 μm in size. Conidia were one-celled, elliptical to ovoid, nearly hyaline, and 9.6 to 12.5 μm × 6.7 to 8.9 μm in size. Sclerotia were gray to black in color and round or irregular in shape. These morphological features were identical to those of Botrytis spp. (Amiri et al. 2018). To further identify the isolates, we amplified four genetic markers including internal transcribed spacer region (ITS), heat-shock protein 60 (HSP60), glyceraldehyde-3-phosphate dehydrogenase (G3PDH), and DNA-dependent RNA polymerase subunit II (RPBII) (Saito et al. 2014; Walker et al. 2011). Sequences of BcB-1 and BCB-2 were deposited in GenBank under accession nos. OP721062 and OP721063 for ITS, OP737384 and OP737385 for HSP60, OP746062 and OP746063 for G3PDH, and OP746064 and OP746065 for RPBII, respectively. BLAST analysis indicated that these sequences shared high identities (99 to 100%) with those of other B. californica isolates. Phylogenetic analysis showed that BcB-1 and BcB-2 clustered with several reference isolates in the B. californica clade. To confirm their pathogenicity, fresh blueberry fruits were surface sterilized with 0.5% sodium hypochlorite, rinsed with sterile water, air-dried, then wounded thrice per fruit using a sterile needle at the equator. Twenty wounded fruits were sprayed with 10 ml conidial suspension (1 × 105 conidia/ml) of each isolate onto the fruit surface. Twenty fruits treated with sterile water were used as controls. Inoculated or non-inoculated fruits were incubated at 25°C with 90% relative humidity. The pathogenicity test was performed twice. After 5 to 7 days, all inoculated fruits developed disease symptoms similar to those observed on the original fruits, while non-inoculated control fruits were asymptomatic. Re-isolated pathogens from the inoculated fruits exhibited identical morphological characteristics to those of BcB-1 and BcB-2. Their identity as B. californica was also verified based on their ITS sequences. Previously, B. californica has been reported to cause gray mold on blueberry in the Central Valley of California (Saito et al. 2016). To our knowledge, this is the first report of B. californica causing gray mold on post-harvest blueberry fruits in China. These results can provide the basis for future studies on the occurrence, prevention, and control of this disease.

Scoring, ranking, and technoeconomics of carbon capture and storage opportunities in the central valley of California

Previous studies of geological carbon storage are reviewed, redefined, and evaluated to provide proper capturable emission amounts and candidate storage sites in the Southern San Joaquin Basin (California). The LCFS eligible capturable GHG emissions from thermal EOR facilities were 11.4 MtCO2/y. Also, the capturable emission amounts and location of other large emitters in both Kern County and southern California were identified. The estimated CO2 storage resource in the 7 qualified saline formations ranged from 16.6 to 52 GtCO2 whereas that in 35 qualified hydrocarbon fields ranged from 0.45 to 1.15 GtCO2. Among the 35 hydrocarbon fields, 15 CO2-EOR candidate fields with storage resources of 0.36 to 0.88 GtCO2 are located in Kern County. Altogether, 41 storage sites including 7 hydrocarbon fields, 32 saline storage sites, and 2 stacked storage sites were defined as CO2 storage locations. The 41 CO2 storage sites in and around Kern County were linked to selected large CO2 emitters in Imperial, Kern, Los Angeles, Orange, San Bernardino, Santa Barbara, San Luis Obispo, and Ventura Counties. Importantly, the technoeconomics of prospective storage sites and emitters were analyzed using SimCCS (Scalable infrastructure model for Carbon Capture and Storage). Regional GHG emissions from oil and gas facilities such as EOR steam generators and CHPs can be captured and stored economically as a result of LCFS and 45Q credits. The 45Q credit value and duration are critical factors to incentivize CCS deployment. The deployment scenarios evaluated teach that the Southern San Joaquin basin is an excellent potential regional carbon storage hub.

Agricultural framing in California’s Central Valley: Farming values and climate change policy

ABSTRACT In the absence of national policy to address climate change in the United States, scholars shifted focus to examine state and local level actions. Mayors, city managers, and city councils are now central actors in the climate policy domain. Unlike large, liberal cities on the Coasts, less is known about climate policy decisions in more rural and agricultural areas like the Central Valley of California. These municipalities present an interesting political climate and contain unique geo-physical characteristics as the agricultural center of California. This project analyzes content from city plans along with surveys of municipal staff to capture the ways that communities in the Central Valley tap into environmental policymaking using agricultural framing. Specifically, it examines whether two specific agricultural frames, entrepreneurial farming and agrarian values, make their way into climate change programs and whether these localities can stay on par with the rest of the state despite their different values. Findings reveal that agricultural framing is present within municipal climate change documents and that despite an expectation for more of an industrial/entrepreneurial focus, there are also agrarian ideas present, suggesting the importance of both ideas for agricultural regions and a continued need to study frames to help grow climate policy in rural and agricultural areas. This preliminary project explores agricultural framing in the context of climate change in the Central Valley as it relates to climate policy action with broader implications for urban and rural governance.

Expansion of wastewater-based disease surveillance to improve health equity in California's Central Valley: sequential shifts in case-to-wastewater and hospitalization-to-wastewater ratios.

Over a third of the communities (39%) in the Central Valley of California, a richly diverse and important agricultural region, are classified as disadvantaged-with inadequate access to healthcare, lower socio-economic status, and higher exposure to air and water pollution. The majority of racial and ethnic minorities are also at higher risk of COVID-19 infection, hospitalization, and death according to the Centers for Disease Control and Prevention. Healthy Central Valley Together established a wastewater-based disease surveillance (WDS) program that aims to achieve greater health equity in the region through partnership with Central Valley communities and the Sewer Coronavirus Alert Network. WDS offers a cost-effective strategy to monitor trends in SARS-CoV-2 community infection rates. In this study, we evaluated correlations between public health and wastewater data (represented as SARS-CoV-2 target gene copies normalized by pepper mild mottle virus target gene copies) collected for three Central Valley communities over two periods of COVID-19 infection waves between October 2021 and September 2022. Public health data included clinical case counts at county and sewershed scales as well as COVID-19 hospitalization and intensive care unit admissions. Lag-adjusted hospitalization:wastewater ratios were also evaluated as a retrospective metric of disease severity and corollary to hospitalization:case ratios. Consistent with other studies, strong correlations were found between wastewater and public health data. However, a significant reduction in case:wastewater ratios was observed for all three communities from the first to the second wave of infections, decreasing from an average of 4.7 ± 1.4 over the first infection wave to 0.8 ± 0.4 over the second. The decline in case:wastewater ratios was likely due to reduced clinical testing availability and test seeking behavior, highlighting how WDS can fill data gaps associated with under-reporting of cases. Overall, the hospitalization:wastewater ratios remained more stable through the two waves of infections, averaging 0.5 ± 0.3 and 0.3 ± 0.4 over the first and second waves, respectively.

Impact of COVID-19 pandemic on alcohol-related hepatitis admissions: Analysis of nationwide data 2016-2020

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic was a public health crisis affecting medical, social, and psychological wellness. In a previous study, we reported a rise in alcohol-related hepatitis (ARH) cases between 2019 and 2020 in the central valley of California. Our goal in the current study was to assess the impact of COVID-19 on ARH at a national level. Materials and methodsWe used data from the 2016 to 2020 National Inpatient Sample. All adult patients diagnosed with ARH (ICD10 K70.1 and K70.4) were included. Information was collected regarding patient demographics, hospital characteristics, and severity of hospitalization. We analyzed the annual percentage changes (PC) between 2016-2019 and 2019-2020 to assess the impact of COVID-19 on hospitalizations. Multivariate logistic regression analysis was performed to identify factors associated with increased ARH admissions between 2016 and 2020. ResultsA total of 823,145 patients were admitted with ARH. The total number of cases increased from 146,370 in 2016 to 168,970 in 2019 (annual percentage change (PC) 5.1%), while the cases increased to 190,770 in 2020 (PC 12.4%). The PC in women was 6.6% between 2016 and 2019, which increased to 14.2% between 2019 and 2020. In men, PC increased by 4.4% between 2016 and 2019 to 12.2% between 2019 and 2020. On multivariate analysis, after adjusting for patient demographics and hospital characteristics, there was 46% increased odds of admission with ARH in 2020, compared to 2016. The total number of deaths increased from 8725 in 2016 to 9190 in 2019 (PC 1.7%), while the total number of deaths increased to 11,455 in 2020 (PC 24.6%). ConclusionsA sharp rise in the cases of ARH between 2019 and 2020 was noted, which aligned with the COVID-19 pandemic. Not only did total hospitalization increase, but an increase in mortality was also noted, reflecting higher severity in the patients admitted during the COVID-19 pandemic.

COVID-19: Examining the Impact of the Global Pandemic on Violent Crime Rates in the Central Valley of California

This study focuses on how a global pandemic like COVID-19 affects violent crimes in the city of Stockton, California. The violent crimes that we will be examining are homicide, robbery, rape, simple assault, and aggravated assault. We obtained crime data from the LexisNexis Community Crime Map and obtained COVID-19 data from the San Joaquin County Health Department regarding the city of Stockton. We developed the results of this research by using time-series plots and interrupted time-series analysis. Our results demonstrate that COVID-19 caused a statistically significant change in the slope for rape, robbery, and simple assault violent crimes. Finally, we discuss in our policy implications section that the Stockton Police Department should establish more community outreach programs that could help prevent these types of violent crimes.

Factors affecting urinary organophosphate pesticide metabolite levels among Californian agricultural community members

Organophosphate (OP) pesticides are widely used in California for agricultural pest and weed control despite their well-documented adverse health effects among infants, children, and adults. We sought to identify factors affecting urinary OP metabolites among families living in high-exposure communities. Our study included 80 children and adults who lived within 61 m (200 ft) of agricultural fields in the Central Valley of California in January and June 2019, which are pesticide non-spraying and spraying seasons, respectively. We collected one urine sample per participant during each visit to measure dialkyl phosphate (DAP) metabolites; these were coupled with in-person surveys to identify health, household, sociodemographic, pesticide exposure, and occupational risk factors. We used a data-driven, best subsets regression approach to identify key factors that influenced urinary DAPs. Participants were mostly Hispanic/Latino(a) (97.5 %), over half were female (57.5 %), and most households reported having a member who worked in agriculture (70.6 %). Among the 149 urine samples suitable for analysis, DAP metabolites were detected in 48.0 % and 40.5 % of samples during January and June, respectively. Total diethyl alkylphosphates (EDE) were only detected in 4.7 % (n = 7) of samples, but total dimethyl alkylphosphates (EDM) were detected in 41.6 % (n = 62) of samples. No differences were observed in urinary DAP levels by visit month or by occupational exposure to pesticides. Best subsets regression identified several individual- and household-level variables that influenced both urinary EDM and total DAPs: the number of years spent living at the current address, household use of chemical products to control mice/rodents, and seasonal employment status. Among adults only, we identified educational attainment (for total DAPs) and age category (for EDM) as significant factors. Our study found consistent urinary DAP metabolites among participants, regardless of spraying season, and identified potential mitigating factors that members of vulnerable populations can implement to protect their health against OP exposure.

Herbicide Management of Threespike Goosegrass in California Orchards

Threespike goosegrass (Eleusine tristachya) is a difficult-to-control perennial grass of increasing concern for orchard production systems in the Central Valley of California, USA. This grass has a bunch-type growth habit when tillered, which can interfere with orchard operations, particularly nut pickup from the ground at harvest. From 2016 to 2019, herbicide efficacy on threespike goosegrass was evaluated in a walnut (Juglans regia) orchard in Chico, CA, USA; an almond (Prunus dulcis) orchard in Livingston, CA, USA; and a prune (Prunus domestica) orchard in Orland, CA, USA. At each location, two independent experiments were conducted to evaluate 12 preemergent (PRE) herbicide treatments and eight postemergent (POST) treatments over several years, for a total of 16 trials. PRE herbicides were applied in January according to the region’s typical winter orchard management practices. One treatment included an additional sequential application in March to extend residual activity later into the warm season when threespike goosegrass germinates or resumes growth. In separate studies, POST control of established stands of threespike goosegrass was evaluated in May and June of each year. Each trial was conducted in a randomized complete block design with four replications. Threespike goosegrass control was visually estimated monthly for 5 months after the PRE treatments or at weekly intervals for 5 weeks following POST treatments. The most effective PRE treatment was a sequential application of indaziflam in January, followed by a March application of pendimethalin, providing 90% or greater control of threespike goosegrass 5 months after treatment across all sites and all years. Of the POST treatments, the three graminicides outperformed the other treatments with 73% to 91% control overall sites and years at 5 weeks after treatment. Fluazifop had the highest control ratings (85% to 91%) among the graminicide herbicides but was not always statistically better than clethodim or sethoxydim (74% to 83% control). Glyphosate alone resulted in unacceptable control (33% to 51%) regardless of rates tested, experimental sites, or years. Together, these results confirm grower reports of poor glyphosate performance on threespike goosegrass but suggest that effective herbicide programs can be developed to manage threespike goosegrass using PRE herbicides and POST graminicides registered in California orchard crops.