County Area Research Articles

Experiences of older adult Filipino-Americans surrounding eye surgery and factors in health decision-making: a qualitative study

BackgroundThe greater San Francisco metropolitan bay area is home to 270,000 Filipino immigrants and the second largest Filipino-American population in the United States. Despite this, Filipino-Americans are aggregated with the general “Asian-American” category, making it a challenge to obtain accurate population health data on social determinants of health. One area that is concerning is the lack of research on Filipino-American eye health experiences. The Filipino-American population is an older community with a median age of 48 years old that experiences a high prevalence of diabetes and hypertension. Preserving sight in high risk patients against age-related eye disease depends on routine eye examinations and timely treatment. Therefore, it is important to explore older adult Filipino-American eye surgery experiences and factors in eye health decision-making.MethodsAn exploratory qualitative study was conducted with thirteen Filipino-American adults residing in the nine San Francisco Bay Area counties who had a history of eye surgery (cataract, glaucoma, or retinal). Data were collected through semi-structured in-depth interviews. A thematic analysis was performed informed by critical race theory and PEN3 cultural model. Standard methods of coding followed by determination of themes were conducted and consensus was reached among the three coders.ResultsThe mean participant age was 73.3 years old (95% CI 69.7–76.9). All participants were born in the Philippines, and 85% identified as female. Four themes emerged: the value of social networks and self-efficacy in decision-making; the importance of informed communication; the integral role of trust and the physician–patient relationship; and the impact of cultural humility, beliefs, and concordance on ocular care. Communication with trusted peers, clinicians and clinical staff prior to surgery was a key factor in alleviating worries and misconceptions, yet interpreter services were inconsistently offered. Many saw clinicians as experts, which dampened their agency in asking questions or elicited shame in obtaining a professional second opinion.ConclusionsHow clinicians convey information is crucial. Filipino-Americans patients can interpret eye surgery expectations through a cultural lens, which may result in lasting impressions about the surgical experience and outcomes. Expanding cultural humility training and improved incorporating interpreter services can help patients feel supported.

Validation of an App-based Food Frequency Questionnaire: Comparison With 24-hour Diet Recalls Among Women in two Rural Areas of Kenya

A new mobile application with a new semi-quantitative Food Frequency Questionnaire (FFQ) was developed as a quick dietary assessment tool. This study aimed to test the validation of food and nutrient intake measurements from an app-based FFQ, which included 49 dishes and food items, using non-consecutive two-day 24-hour diet recalls as the standard. A total of 179 women aged 19–70 years (mean (SD) = 33.7 (9.9)) from two rural areas of Kenya, Vihiga and Kitui counties, were included. Dietary assessment by the two dietary survey methods was conducted from November to December 2021. The intake of macro- and micronutrients, and food groups between the two methods were compared by Spearman's rank correlation coefficients, cross-classification agreement, and Bland-Altman plots for assessing the validation of the app-based FFQ. The median correlation coefficients between energy-adjusted intakes estimated by the app-based FFQ and the 24-h diet recall were 0.19 (0.10 (protein)–0.26 (fat)) for macronutrients, 0.24 (0.11 (sodium)–0.46 (vitamin B12)) for micronutrients, and 0.26 (0.07 (seasonings)–0.45 (pulses)) for 17-food groups. The median percentage of classification into the same quartiles between the two methods was 31% for macronutrient, 32% for micronutrient and 39% for food group. While 9% for macronutrient, 8% for micronutrient and 10% for the food group were misclassified into the opposite categories. Bland-Altman Plots showed acceptable agreement for macronutrients intake between the two methods. The app-based FFQ was shown to be able to rank or categorize individuals according to their intake of most of the nutrients and food groups we examined. This dietary assessment tool can be used for quantitative dietary data collection. Further research is needed to improve the validation of the app-based FFQ, as it has been shown that intakes of staple foods and sugar are underestimated and others are overestimated, and that estimating intakes of some specific nutrients, such as protein, is challenging. Key words: Diet assessment, food frequency questionnaire, 24-hour diet recall, validation, Kenya

Evaluating Usability and Feasibility of Implementing a Novel Cancer Mapping Tool.

Purpose: Cancer registries are often asked to present cancer data for small geographic areas to inform and facilitate targeted interventions and prevention programs. However, it is challenging to compute and visualize reliable cancer estimates for areas with small case counts and populations to support cancer control planning. Methods: We used a Bayesian hierarchical model that borrows strength from neighboring areas and over time to produce cancer estimates for small areas. We developed a visual analytics platform to present these estimates in interactive graphics that demonstrate risk in small areas. In a user-centered design process, development of the tool was informed by cancer registry and public health professionals through focus groups and surveys. Results: The Cancer Analytics and Maps for Small Areas tool (CAMSA) provides age-adjusted cancer incidence and mortality rates and risk probabilities for eight cancers at the county and ZIP-code tabulation area (ZCTA) levels. It allows the user to identify cancer hotpots, including among sub-groups defined by sex and race/ethnicity. Potential end users were enthusiastic about the opportunity to implement CAMSA within their practice, emphasizing the tool's potential for increasing collaborative opportunities at local and state levels. Suggestions for improvement included adding map overlays such as additional cancer risk variables and incorporating functionalities like exportable data tables. Conclusions: CAMSA presents cancer rate and risk estimates for small geographic areas where they may have previously been suppressed. Through our user-informed design process, we developed statistical models and data visualizations to support the needs of an array of potential end users.

Availability Of Adult Dental Plans In The Affordable Care Act Marketplaces, 2016-23.

The Affordable Care Act Marketplaces may improve access to dental insurance, but little is known about the availability of such coverage. We used data from state and federal Marketplace sources to describe the availability of adult dental plans, including Stand-alone Dental Plans and those embedded in medical plans. We also examined the characteristics of counties with limited dental insurer participation and those that experienced a net loss of Stand-alone Dental Plan insurers between 2016 and 2023. We found that in 2023, at least one Stand-alone Dental Plan was offered in every state, and thirty-six states offered embedded dental plans. Most counties (63.6percent) had access to more than five insurers offering adult dental plans, whereas approximately 4percent had only one insurer offering adult dental plans. Counties in state-based Marketplaces, rural areas, and dentist shortage areas were more likely to be counties with limited dental insurer participation. The net loss of Stand-alone Dental Plans between 2016 and 2023 was more common in state-based Marketplaces and disadvantaged counties. Our findings can inform future policies to improve the dental insurance Marketplace and access to affordable dental care.

Social Accountability at Southern Illinois University School of Medicine: A Focus on Admission Policy

Given the increasing health disparities across regions and populations, social accountability is not an option but an obligation for health professions schools, including medical schools. In this short communication, the authors report the case of Southern Illinois University School of Medicine (SIU SOM), which has been an exemplary medical school for social accountability, receiving the 2013 AMEE ASPIRE Award in social accountability and the 2018 Josiah Macy Jr. Foundation Award for Institutional Excellence in Social Mission in Health Professions Education. This paper focuses on the school’s admission policies in the discussion of its social accountability. It starts with the background of central and southern Illinois, where the school is located to address the shortage of healthcare professionals in the areas. It discusses the school’s holistic admission policies and two pipeline programs—namely, MEDPREP and McNeese Physician Preparatory Pipeline Program (P4)—that are strategically designed as a long-term physician workforce development plan to address health disparities in rural areas. As of January 30, 2024, 3,233 students have earned the MD (Doctor of Medicine) degree at SIU SOM. In total, 770 alumni (33%) are practicing in primary care. Among 901 graduates practicing in Illinois, 484 (54%) are practicing in SIU SOM service area counties (i.e., central and southern Illinois). Social accountability is the core value and organizational identity of SIU SOM and the guiding principle of the school’s innovation and excellence.

Assessment of Compliance Status and Its Determinants Among Hypertensive Patients From County Areas in Zhejiang, China: A Cross-Sectional Study.

Compliance is crucial for patients to control and manage their high blood pressure. This study assesses the compliance levels of hypertensive patients in China and explores the factors influencing compliance. A descriptive, cross-sectional design was conducted. A total of 371 hypertensive patients were recruited from six County hospitals and 12 township health centers in Zhejiang Province, China. Patient compliance was measured using the Hypertensive Patient Scale (CHPS). Independent-sample T-test or variance analysis was applied to analyze CHPS scores by sociodemographic factors, and linear regression was used to explore the significant correlates of the total CHPS score. The total score of CHPS was 50.18 ± 6.12. Among the seven domains, drug treatment and lifestyle had the highest and lowest average scores, 3.59 ± 0.87 and 2.74 ± 0.73, respectively. The total score of CHPS positively associated with age (β = 0.075, p = 0.028), > 7 years of hypertension (β = 1.896, p = 0.022; Ref: < 3 years), and negatively associated with males (β = -2.224, p = 0.001; Ref: female) and rural area (β = -2.008, p = 0.007; Ref: urban area). These findings highlight the importance of related measurements of thelocal "health-oriented" healthcare system. Primary health professionals should strengthen their health behavior intervention capacity and improve hypertension management among their patients.

Surface-derived groundwater contamination in Gulu District, Uganda: Chemical and microbial tracers

Groundwater is consumed by over 2 billion people globally, though it can be impacted by microbial and chemical contamination in both rural and (peri-)urban areas. This issue is particularly pertinent in regions like East Africa, where rapid urbanisation has strained local infrastructure, including water and sanitation systems. We use selected tracers of human and animal waste to assess the quality of community drinking sources with regards to surface-derived groundwater inputs and to compare urban versus rural water quality, under the rapidly developing urban area of Gulu, Northern Uganda. Specifically, we examine bulk and fluorescent dissolved organic matter (DOM), microorganisms (total coliforms, E. coli) and inorganic tracers of anthropogenic waste (NO3−, SO42−, Cl/Br) from various sources: boreholes (12–76 m depth; n = 90), protected springs (n = 11) and municipal taps (n = 4). Our results show that NO3− and SO42− were elevated in groundwater sources in the Gulu city urban area and the Cl/Br ratio was elevated in springs, compared to concentrations in the more rural Aswa and Omoro County area (p < 0.05). Interestingly, human and animal waste indicators E. coli and Tryp:FA (the ratio of tryptophan-like to fulvic-like fluorescence) displayed no significant difference between rural and urban settings (p > 0.05), though total coliforms were significantly higher in rural boreholes (p < 0.05). The presence of a pollution source, pollution carrier and a breakdown of a sanitary barrier at the borehole, as spot-checked by a visual sanitary risk assessment, was significantly associated with groundwater E. coli abundances. Evidence suggests monitoring and mitigation should be improved for all water types in Gulu District to meet WHO and Uganda Standard guidelines for potable water. This study offers valuable insights for water management planning and risk assessment of community water sources particularly in the context of East Africa and similar settings.

Simulating Changes in Ecosystem Carbon Storage and Analyzing Influencing Factors in the Central Zhejiang under the Background of LUCC

Central Zhejiang is the key ecological function area of Zhejiang Province and an important part of the Qiantang River ecological corridor. Conducting simulations of ecosystem carbon storage changes and analyzing influencing factors under land-use changes in this region is of significant importance for achieving the goals of "peak carbon" and "carbon neutrality" at an early stage. This study, based on the land use data of five periods from 1980 to 2020 in central Zhejiang, coupled the GeoSOS-FLUS and the InVEST model to analyze the spatiotemporal changes in carbon storage in the region over time and project for the year 2030. The study also explored the impact of socio-economic and natural factors on changes in carbon storage. The results showed that： ① Between 1980 and 2020, urban construction land in the Zhejiang Central Region increased by 289.91%, with cultivated land and forest land being the main sources, leading to a 3% decrease in ecosystem carbon storage, amounting to 588.88×104 tons. ② High-value areas of carbon storage in the Zhejiang Central Region were concentrated in P'an-an County, Jinyun County, Wuyi County, and other areas. ③ Under the two different scenarios of natural development and ecological protection, carbon storage in the research area was projected to decrease by 1.05% and 0.05%, respectively, by 2030 compared to that in 2020. ④ Natural factors dominated the distribution of carbon storage, but their influence was gradually decreasing over time. The impact of socio-economic factors was increasing, and the combined effect of socio-economic and natural factors far outweighed the influence of a single factor on carbon storage distribution. These findings can serve as a scientific reference and guide for mitigating carbon loss in ecosystems, promoting ecosystem protection, facilitating sustainable social development, and achieving the "dual carbon" goals in Zhejiang and other regions nationwide.

Economic Effects Assessment of Forest City Construction: Empirical Evidence from the County-Level Areas in China

Forests are both an irreplaceable natural resource and a vital economic asset for all humankind. Based on the data of counties in mainland China from 2007 to 2020, the article explores the direct impact and spatial spillover effects of the policy implementation on the economic growth of counties with the help of the forest city pilot policy and the policy evaluation model. The results reveal that policy implementation can have a positive economic growth effect on the pilot counties, which, in turn, can significantly increase the size of the county′s GDP, the level of GDP per capita, and the total amount of nighttime lighting brightness. The implementation of forest city construction can bring about 2.74% of total GDP size, about 2.63% of per capita GDP development level, and about 7.25% of nighttime light brightness to the county on average. Cost–benefit analysis also indicates that forest city construction can bring about a comprehensive economic benefit of approximately CNY 686.453 million (approximately USD 96.82 million) to the counties. The rapid improvement in labor productivity, significant influx of high-end factors, and continuous expansion of market potential are important mechanisms through which policy implementation promotes economic growth in pilot counties. While promoting economic growth in the pilot counties, forest city construction can also have positive spatial spillover effects on neighboring areas in the pilot counties. Furthermore, when the deficits in atmospheric vapor pressure and annual evapotranspiration are used as instrumental variables for forest city construction, the empirical estimates are not significantly altered. In the process of building forest cities, county governments should be wary of issues such as the high cost of forest maintenance. This study provides a Chinese model and policy reference for other countries and regions in the world to deal with the relationship between forest city construction and county economic growth.

A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility

The accuracy of data-driven landslide susceptibility prediction depends heavily on the quality of non-landslide samples and the selection of machine-learning algorithms. Current methods rely on artificial prior knowledge to obtain negative samples from landslide-free regions or outside the landslide buffer zones randomly and quickly but often ignore the reliability of non-landslide samples, which will pose a serious risk of including potential landslides and lead to erroneous outcomes in training data. Furthermore, diverse machine-learning models exhibit distinct classification capabilities, and applying a single model can readily result in over-fitting of the dataset and introduce potential uncertainties in predictions. To address these problems, taking Chenxi County, a hilly and mountainous area in southern China, as an example, this research proposes a strategy-coupling optimised sampling with heterogeneous ensemble machine learning to enhance the accuracy of landslide susceptibility prediction. Initially, 21 landslide impact factors were derived from five aspects: geology, hydrology, topography, meteorology, human activities, and geographical environment. Then, these factors were screened through a correlation analysis and collinearity diagnosis. Afterwards, an optimised sampling (OS) method was utilised to select negative samples by fusing the reliability of non-landslide samples and certainty factor values on the basis of the environmental similarity and statistical model. Subsequently, the adopted non-landslide samples and historical landslides were combined to create machine-learning datasets. Finally, baseline models (support vector machine, random forest, and back propagation neural network) and the stacking ensemble model were employed to predict susceptibility. The findings indicated that the OS method, considering the reliability of non-landslide samples, achieved higher-quality negative samples than currently widely used sampling methods. The stacking ensemble machine-learning model outperformed those three baseline models. Notably, the accuracy of the hybrid OS–Stacking model is most promising, up to 97.1%. The integrated strategy significantly improves the prediction of landslide susceptibility and makes it reliable and effective for assessing regional geohazard risk.

Abstract A164: Rural and religious differences in online news outlet headlines about HPV and HPV vaccines in Utah

Abstract Purpose: To evaluate the penetration of online HPV vaccine information in Utah, where HPV vaccination and completion rates are low, and uncover potential disparities by religiosity and rurality in the types of language used by news headlines in the social media ecosystem. Methods: We described the language used in local news outlets' headlines about HPV and HPV vaccines. We included headlines posted on Facebook from 23 news outlets within 6 counties (including high and low vaccination, rurality, and religiosity) from 2011-2023 to represent the public online discourse about HPV vaccination. We searched each news outlet’s Facebook page for eligible posts using 11 key terms (e.g., HPV, HPV vaccination) that were identified through literature review and refined with content experts, resulting in N=851 headlines. After removing duplicates, there were a total of n=531 unique headlines for analysis. Area-level (county) measures of rurality (2013 Rural and Urban Continuum Codes) and religiosity (Public Religion Research Institute 2020 Census) were coded for each post title based on the originating news outlet. We analyzed the language used in each headline. Differences in the valence of online discourse about HPV and HPV vaccination by rurality and religiosity were compared using summary statistics and t-tests. Linguistic analyses were conducted using Linguistic Inquiry Word Count and Stata 18. Results: Overall, urban areas were less religious than rural areas (28% unaffiliated in urban areas vs. 13-26% unaffiliated in rural areas, p&amp;lt;0.001). There were more headlines about HPV and HPV vaccination from news outlets in urban than rural areas (69.7% vs. 30.3%). Nearly 70% of HPV and HPV vaccine headlines came from the least religious areas—counties whose religiously unaffiliated populations ranged from 28%-32%. News outlets differed in how they disseminated information about HPV and HPV vaccines by rurality and religiosity. On average, news outlets in urban areas used more positive language than in rural areas (mean 2.04 vs. 1.28 words, p&amp;lt;0.01). Rural news outlets used more emotion-laden terms than those in urban areas (mean 1.2 vs. 0.6 words, p&amp;lt;0.01) and negative emotion was more prevalent among rural than urban headlines (mean 0.73 vs. 0.42 words, p=0.02). These observations were mirrored for areas with higher religiously unaffiliated populations demonstrating titles with more positive words (mean 2.05 vs. 1.27, p&amp;lt;0.01), less emotional words (mean 0.63 vs. 1.17 words, p&amp;lt;0.01), and less negative language (mean 0.42 vs. 0.73 words, p=0.01) compared to headlines in areas with lower proportions of religiously unaffiliated, respectively. Conclusions: The penetration of HPV and HPV vaccine information in rural and religious areas is less positive, more emotionally charged, and uses more negative emotional language than in urban areas. This may, in part, perpetuate the low HPV vaccine uptake in these regions. Citation Format: Echo L. Warner, Ida Tovar, Kaila Christini, Stephen Gubler, Becca Slagle, Jennifer Smith, Michelle Litchman, Wendy Birmingham, Deanna Kepka. Rural and religious differences in online news outlet headlines about HPV and HPV vaccines in Utah [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A164.

The Rise of Bromazolam in Postmortem Cases from Travis County, Texas and Surrounding Areas: 2021-2023.

As novel psychoactive substances (NPS) have continued to emerge over the last decade, NPS benzodiazepines have likewise increased in prevalence. They pose an evolving threat to public health and safety with regard to postmortem cases, particularly when used in combination with opioids. Bromazolam was first detected in Travis County, Texas (TX) in April 2021. Given the recent onset of the fentanyl epidemic in this region, the international rise of bromazolam, and increased reports of "benzo-dope", a retrospective study was conducted to characterize bromazolam-positive deaths in Travis County and surrounding counties from 2021-2023. Bromazolam was identified in 112 deaths from 2021-2023, accounting for 1.57% of cases submitted for toxicology testing (n=7,129). During that interval, a 7.5-fold increase was observed in postmortem bromazolam-related drug toxicities from 2021 (n=7) to 2023 (n=53). Fatalities primarily occurred in males in their early-30's. Postmortem concentrations ranged from 21-220 ng/mL, with mean (median) concentrations of 69.4 ± 48.4 (53.5) ng/mL. Polydrug use was present in 99% of bromazolam-positive deaths with co-occurrence with other drugs and drug classes widely varying over time. Bromazolam was attributed as the sole cause of death in one case with a postmortem blood concentration of 23 ng/mL. Polydrug use in bromazolam-related drug toxicities commonly involved fentanyl (82%), methamphetamine (41%), and cocaine (28%). Similarly, cases where bromazolam was an incidental finding and non-contributory to the cause of death often involved methamphetamine (38%), alprazolam (33%), and cocaine (33%). In light of the significant increase in fentanyl-related deaths in Travis County, the increasing prevalence of bromazolam accompanying fentanyl was particularly alarming due to the heightened risk of toxicity when used in combination. Identifying and evaluating bromazolam-related deaths clarifies the impact of bromazolam on this population, promotes awareness, and aids in identifying meaningful harm reduction strategies to decrease bromazolam-related morbidity and mortality.

Childhood Maltreatment, Revictimization, and Partner Violence Victimization Through Midlife: A Prospective Longitudinal Investigation.

Existing research suggests that prior victimizations during a person's lifetime, particularly childhood traumas and maltreatment, are risk factors for abuse and revictimization in adulthood, although longitudinal evidence is sparse. Using data from a 30-year ongoing longitudinal study of the long-term consequences of childhood maltreatment, this paper describes the extent to which childhood maltreatment predicts subsequent victimization and partner violence victimization at two time points in adulthood. Data were obtained from a prospective cohort design study in which children with court-substantiated cases of maltreatment (ages 0-11 years) and demographically matched controls were followed into adulthood and interviewed over several waves. Childhood maltreatment was assessed through juvenile and adult court records from 1967 to 1971 in a midwestern county area in the United States. Victimization experiences were assessed from 2000 to 2002 (Mage = 39.5 years) and 2009 to 2010 (Mage = 47.5) and included two types based on information from the lifetime trauma and victimization history instrument and questions about past year partner violence victimization. Individuals with histories of childhood maltreatment were more likely to report physical and sexual assaults and kidnapping and stalking victimization than controls through age 39.5. In contrast, the two groups did not differ at the later assessment at age 47.5, except maltreated individuals reported greater risk for sexual assault/abuse than controls. For intimate partner violence victimization at age 39.5, maltreated and control groups differed only in terms of victimization involving injury. Later in adulthood, more individuals with histories of childhood maltreatment reported partner physical violence victimization compared to controls. Although these longitudinal findings showed a general decline in victimization experiences over the two time points, these results demonstrate that childhood maltreatment increases risk for subsequent revictimization in middle adulthood, specifically for sexual assault/abuse and intimate partner physical violence victimization. These findings have implications for prevention and intervention efforts targeting maltreated children.

Turkey Vultures (Cathartes aura) from Southern California are Exposed to Anticoagulant Rodenticides Despite Recent Bans

ABSTRACT Secondary poisoning with anticoagulant rodenticides (ARs) has been identified as an important threat for raptor conservation worldwide. In 2019, the California State Legislature passed Assembly Bill 1788 (made effective in 2020), which prohibits or limits the use of second-generation anticoagulant rodenticides (SGARs) in the state, as a follow-up to the California Department of Pesticide Regulation’s ban on SGARS implemented in 2014. Currently, the adherence to these recent restrictions on ARs in southern California is unknown. To assess whether these bans prevented exposure of raptors and other wildlife to ARs, we investigated (1) the prevalence of exposure to eight different ARs in the blood of Turkey Vultures (Cathartes aura) before and after the 2019 ban, and (2) the distribution of resighted (encountered) wing-tagged Turkey Vultures included in this study to assess where exposure might occur. Of 27 Turkey Vultures tested for eight ARs, one out of 11 sampled in 2017 had detectable (trace) but not quantifiable levels of difethialone, and two out of 16 (12.5%) sampled in 2021 had detectable levels of diphacinone (one had 8 ppb; another indicated as positive without quantification). Overall, the prevalence of exposure to ARs was 11.1% (3 of 27), 7.4% for diphacinone and 3.7% for difethialone. Based on 93 resightings of 20 of the wing-tagged Turkey Vultures, all but one remained within the areas of Los Angeles, San Bernardino, Orange, Riverside, and San Diego Counties of southern California. Our study suggests that the exposure risk of Turkey Vultures to ARs persisted despite recent restrictions. Our small sample size and reliance on blood in live vultures rather than liver tissue in dead ones may be underestimating true ARs exposure in our study population. We propose a continued and integrated monitoring approach that includes measurements of ARs in both free-ranging (blood samples) and deceased (liver samples) Turkey Vultures for effective large-scale monitoring. This approach will assess compliance with current and future bans and regulations regarding the use of these poisons in California.

The Big Peach Divided: Demographic-Electoral Transitions and Geographic Polarization in Atlanta Metropolitan Area Counties

The Big Peach Divided: Demographic-Electoral Transitions and Geographic Polarization in Atlanta Metropolitan Area Counties

Landcover-categorized fires respond distinctly to precipitation anomalies in the South-Central United States

Satellite detection of active fires has contributed to advance our understanding of fire ecology, fire and climate dynamics, fire emissions, and how to better manage the use of fires as a tool. In this study, we use active fire data of 12 years (2012–2023) combined with landcover information in the South-Central United States to derive a monthly, open-access dataset of categorized fires. This is done by calculating a fire predominance index used to rank fire-prone landcovers, which are then grouped into four main landscapes: grassland, forest, wildland, and crop fires. County-level aggregated analyses reveal spatial distributions, climatologies, and peak fire months that are particular to each fire type. Using the Standardized Precipitation Index (SPI), it was found that during the climatological fire peak-month, the SPI and fires exhibit an inverse relationship in forests and crops, whereas grassland and wildland fires show less consistent inverse or even direct relationship with the SPI. This varied behavior is discussed in the context of landscapes’ responses to anomalies in precipitation and fire management practices, such as prescribed fires and crop residue burning. In a case study of Osage County (OK), we find that large wildfires, known to be closely related to climate anomalies, occur where forest fires are located in the county and absent in areas of grassland fires. Weaker grassland fire response to precipitation anomalies can be attributed to the use of prescribed burning, which is normally planned under environmental conditions that facilitate control and thus avoided during droughts. Crop fires, on the other hand, are set to efficiently burn residue and are practiced more intensely in drier years than in wetter years, explaining the consistently strong inverse correlation between fires and precipitation anomalies. In our increasingly volatile climate, understanding how fires, vegetation, and precipitation interact has become imperative to prevent hazardous fire conflagrations and to better manage ecosystems.

Distribution, sources, impact factors and ecological risks of sediment heavy metals from typical estuarine wetlands in tropical islands

Heavy metal contamination in the estuarine wetlands of tropical islands is becoming increasingly severe. This study focused on four typical estuarine wetlands of Hainan Island, including the mangrove and seagrass areas in Lingshui County, the mangrove and seagrass areas in Xinying Port, the mangrove area in Sibi Wan, and the seagrass area in Huachang Wan. By analyzing the heavy metal content in the surface sediments of these wetlands, we investigated the distribution characteristics and levels, explored their influencing factors, and assessed ecological risk of heavy metals in these areas. It was found the accumulation of heavy metals was high from obvious sampling sites of human activities, the type of sediment could affect the adsorption of heavy metals, with silty mudflats accumulating more. TOC/TN indicated that the organic sources of mangroves were diverse, included environmental impacts and human interference. According to the soil accumulation index and potential ecological risk index in these areas, almost all heavy metals were unpolluted except for As, which showed moderate pollution levels. The overall ecological risk in these areas was relatively low. The results of principal component analysis and correlation analysis indicated that Pb, Cu, and As were primarily sourced from human activities, while Cr was mainly of natural origin. Moreover, the distribution of heavy metals in the study areas was principally affected by TOC and salinity.

Assessment of Rural Industry Integration Development, Spatiotemporal Evolution Characteristics, and Regional Disparities in Ethnic Regions: A Case Study of Inner Mongolia Autonomous Region Counties

Ethnic regions in China primarily focus on the development of agricultural and animal husbandry economies, which are relatively underdeveloped. Rural industry integration development (RIID) is considered the foundation and guarantee for ethnic regions to achieve high-quality modernization of agriculture. The purpose of this article is to measure the level of rural industrial integration in ethnic minority areas, analyze the spatial evolution and regional differences, and explore the actual situation of RIID in these regions. The aim is to provide a decision-making basis for local governments to effectively promote the development of rural industrial integration. Based on the improvement of the evaluation index system for rural industrial integration development, this paper takes the counties of the Inner Mongolia Autonomous Region as the research area. Utilizing panel data from the statistical yearbooks of 68 banners and counties in Inner Mongolia from 2011 to 2020, the panel entropy weight TOPSIS method is employed to assess the average level of rural industrial integration in the research area. The ArcGIS natural breakpoint method is employed to classify the level of RIID in county areas. Exploratory Spatial Data Analysis (ESDA) and GeoDa are utilized to analyze the spatial distribution characteristics of RIID. Finally, the Theil index is employed to analyze the regional differences in the level of RIID. The results show the following: (1) The overall level of RIID in ethnic regions is relatively low, with the contributions of the four dimensions in the evaluation index system as follows: integration path &gt; integration foundation &gt; integration sustainability &gt; integration effect. The level of RIID in the study area is as follows: western region &gt; eastern region &gt; central region. (2) Spatially, there are positive correlations and significant spatial clustering in the level of RIID, with the spatial clustering effect of RIID weakening. (3) There are regional differences in the level of RIID, which are expanding. The inter-regional differences are decreasing, while the intra-regional differences are increasing. (4) The construction of agricultural processing facilities, financial investment, financial support, and talent policies are important influencing factors for the current stage of RIID in ethnic regions. Therefore, in the low-level development stage of RIID in ethnic regions, it is necessary to fully utilize the advantages of resource endowment, increase investment in rural infrastructure, and strengthen the guidance of talent flow into rural revitalization construction.

Landslide Distribution and Development Characteristics in the Beiluo River Basin

The Beiluo River Basin, situated in the central region of the Loess Plateau, frequently experiences landslide geological disasters, posing a severe threat to local lives and property. Thus, establishing a detailed database of historical landslides and analyzing and revealing their development characteristics are of paramount importance for providing a foundation for geological hazard risk assessment. First, in this study, landslides in the Beiluo River Basin are interpreted using Google Earth and ZY-3 high-resolution satellite imagery. Combined with a historical landslide inventory and field investigations, a landslide database for the Beiluo River Basin is compiled, containing a total of 1781 landslides. Based on this, the geometric and spatial characteristics of the landslides are analyzed, and the relationships between the different types of landslides and landslide scale, stream order, and geomorphological types are further explored. The results show that 50.05% of the landslides have a slope aspect between 225° and 360°, 68.78% have a slope gradient of 16–25°, and 38.97% are primarily linear in profile morphology. Areas with a high landslide density within a 10 km radius are mainly concentrated in the loess ridge and hillock landform region between Wuqi and Zhidan Counties and in the loess tableland region between Fu and Luochuan Counties, with a significant clustering effect observed in the Fu County area. Loess–bedrock interface landslides are relatively numerous in the northern loess ridge and hillock landform region due to riverbed incision and the smaller thickness of loess in this area. Intra-loess landslides are primarily found in the southern loess tableland region due to headward erosion and the greater thickness of loess in this area. Loess–clay interface landslides, influenced by riverbed incision and the limited exposure of red clay, are mainly distributed in the northern part of the southern loess tableland region and on both sides of the Beiluo River Valley in Ganquan County. These results will aid in further understanding the development and spatial distribution of landslides in the Beiluo River Basin and provide crucial support for subsequent landslide susceptibility mapping and geological hazard assessment in the region.

Spatio-temporal Differentiation of County Carbon Budget and Territorial Space Optimization Zoning Strategy in Gansu Province from the Perspective of Carbon Neutrality

Under the background of comprehensively practicing the overall system concept of the "living community" in the new era, incorporating the carbon neutral development goal into the territorial spatial planning and construction and establishing the territorial spatial pattern and optimization strategy in line with the actual development of Gansu Province are of great significance for promoting the comprehensive green low-carbon transformation and high-quality development of regional economy and society. Taking counties in Gansu Province as an example, based on the perspective of carbon neutrality research, the land use carbon budget of 87 counties in Gansu Province in 2010, 2015, and 2021 was calculated and analyzed. GIS spatial analysis and social network analysis were used to further explore their spatial differentiation characteristics and the overall characteristics of the carbon emission spatial correlation network. At last, combined with the main function zoning, the low-carbon oriented land space optimization zoning was carried out, and differentiated low-carbon development strategies were proposed. The results were as follows： ① Carbon emissions in Gansu Province showed an upward trend, but the increase rate decreased, showing a spatial distribution of "high in the central and eastern part of the country, low in the southwest." Construction land was the main carbon source. The carbon uptake showed a spatial distribution of "high in the south and low in the north, high in the west and low in the east." Woodlands were the main carbon sinks. The net carbon emissions showed an increasing trend, and approximately 58.62% of the counties in the province were in a carbon imbalance situation. ② In 2021, the spatial network of county carbon emissions was closely related, showing a "core-edge" pattern. The Chenguan District and Qilihe District were in the core position of the network and received more correlation relationships in the network. The network contacts in Longzhong area were frequent, followed by the contacts in Longdongnan area. ③ Based on carbon emissions, carbon sequestration, and ecological carrying capacity coefficients and using the results of spatial correlation of social networks as role positions, the province was divided into four carbon-neutral sub-districts. At the same time, superimposed analysis of the main function zoning, the county area of the province was reconstructed into seven territorial space zones, and the differentiated regional low-carbon optimization development strategy was proposed for each zone.