Population Density Research Articles

Building pondscapes for amphibian metapopulations.

The success of ponds constructed to restore ecological infrastructure for pond-breeding amphibians and benefit aquatic biodiversity depends on where and how they are built. We studied effects of pond and landscape characteristics, including connectivity, on metapopulation dynamics of 12 amphibian species in Switzerland. To understand the determinants of long-term occupancy (here summarized as incidence), environmental effects on both colonization and persistence should be considered. We fitted dynamic occupancy models to 20years of monitoring data on a pond construction program to quantify effects of pond and landscape characteristics and different connectivity metrics on colonization and persistence probabilities in constructed ponds. Connectivity to existing populations explained dynamics better than structural connectivity metrics, and simple metrics (distance to the nearest neighbor population, population density) were useful surrogates for dispersal kernel-weighted metrics commonly used in metapopulation theory. Population connectivity mediated the persistence of conservation target species in new ponds, suggesting source-sink dynamics in newly established populations. Population density captured this effect well and could be used by practitioners for site selection. Ponds created where there were 2-4 occupied ponds within a radius of ∼0.5km had >3.5 times higher incidence of target species (median) than isolated ponds. Species had individual preferences regarding pond characteristics, but breeding sites with larger (≥100m2) total water surface area, that temporarily dried, and that were in surroundings with maximally 50% forest benefitted multiple target species. Pond diversity will foster amphibian diversity at the landscape scale.

A conservation assessment of birds in the Karoo region of South Africa: densities, populations, ranges, and trend estimates

The Karoo region of South Africa, which includes the Succulent and Nama Karoo biomes, supports a unique avian fauna, with ten bird species occurring exclusively in this arid-zone region and many others exhibiting a strong preference for this habitat. To better determine the conservation status of these birds, we conducted point counts to estimate population densities of bird species occurring in the South African Karoo region in 2017 and 2018. We also used data of the South African Bird Atlas Projects (SABAP2) to estimate the species’ ranges and to determine population trends. Although the population densities are naturally low for most species, their ranges are very large, and reporting-rate trends appear stable for most species. Our analysis reveals that none of the Karoo bird species are currently of serious conservation concern. However, the Red Lark Calendulauda burra and Sclater’s Lark Spizocorys sclateri should be considered regionally Near Threatened as they are habitat specialists with inferred declining populations and are not currently protected within any designated conservation areas. Given the rapid transformation of landscapes linked to mining and alternative energy developments currently underway in the Karoo, combined with the poor representation of bird species in protected areas, it is imperative that special attention be paid to the conservation of bird species endemic to the Karoo, and that appropriate mitigation measures be taken by developers.

Experimental manipulation of food availability and macroparasite prevalence reveal differential effects on space use in wild rodents.

Research Highlight: Mistrick, J., Veitch, J. S. M., Kitchen, S. M., Clague, S., Newman, B. C., Hall, R. J., Budischak, S. A., Forbes, K. M., & Craft, M. E. (2024). Effects of food supplementation and helminth removal on space use and spatial overlap in wild rodent populations. Journal of Animal Ecology. http://doi.org/10.1111/1365-2656.14067. The spread of pathogens has been of long-standing interest, even before dramatic outbreaks of avian influenza and the coronavirus pandemic spiked broad public interest. However, the dynamics of pathogen spread in wild populations are complex, with multiple effects shaping where animals go (their space use), population density and, more fundamentally, the resultant patterns of contacts (direct or indirect) among individuals. Thus, experimental studies exploring the dynamics of contact under different sets of conditions are needed. In the current field study, Mistrick etal. (2024) used a multifactorial experimental design, manipulating food availability and individual pathogen infection state in wild bank voles (Clethrionomys glareolus). They found that while food availability, individual traits and seasonality can affect how far individual voles moved, the degree of overlap between individual voles remained largely the same despite a high variation in population density-which itself was affected by food availability. These results highlight how biotic and abiotic factors can shape patterns of space use and balance the level of spatial overlap through multiple pathways.

Undertaking RARS assessments for Hong Kong reservoirs

The 2013 RARS (Risk Assessments for Reservoir Safety management) guidance was developed for the Environment Agency to provide a robust three-tiered framework for the risk analysis, assessment and management of reservoirs in the UK. The methods presented can be used to assess a reservoir's risk in its entirety, either at a qualitative level (Tier 1) or more in-depth quantitative levels (Tier 2 and 3). Binnies undertook RARS assessments of reservoirs for Hong Kong's Water Supply Department (WSD). This paper identifies the limitations and challenges encountered when applying the guidance in Hong Kong, beyond its original intended purpose. It outlines the adjustments made to assess the Hong Kong service reservoirs at Tier 1, and large embankment and gravity dams at Tier 2. Some of the differences include (1) how the nature of loading and external threats differs due to geographical and locational differences; (2) how consequences of reservoir failure differ due to topology, population densities, and cultural differences in the reservoirs’ uses, and (3) how the reservoirs are atypical from ‘Pennine’ type UK embankment dams, from which most UK empirical methods are derived.

Geographic information system-based determination of priority monitoring areas for hazardous air pollutants in an industrial city.

Industrial cities are hotspots for many hazardous air pollutants (HAPs), which are detrimental to human health. We devised an identification method to determine priority HAP monitoring areas using a comprehensive approach involving monitoring, modeling, and demographics. The methodology to identify the priority HAP monitoring area consists of two parts: (1) mapping the spatial distribution of selected categories relevant to the target pollutant and (2) integrating the distribution maps of various categories and subsequent scoring. The identification method was applied in Ulsan, the largest industrial city in South Korea, to identify priority HAP monitoring areas. Four categories related to HAPs were used in the method: (1) concentrations of HAPs, (2) amount of HAP emissions, (3) the contribution of industrial activities, and (4) population density in the city. This method can be used to select priority HAP monitoring areas for intensive monitoring campaigns, cohort studies, and epidemiological studies.

Space-temporal analysis of groundwater quality in three areas of the state of Yucatán, México, and its relationship with existing anthropogenic activity.

Groundwater in the Yucatan State is the only source of water. The karst aquifer in Yucatan is vulnerable to pollution. Anthropic activities in Yucatan, such as pig farming, are usually related to high wastewater discharges and water pollution. Administrative and logistical issues in developing on-site sampling to evaluate water quality are common in Mexico. The RENAMECA database provides official data related to groundwater quality. However, no analysis based on this database has been reported. A groundwater quality evaluation based on five reference pig farms and the effect of spatial and temporal anthropic activities in the study area was developed. Eighteen wells based on their location concerning the selected pig farms were studied. On-site sampling and laboratory analysis of the supply water and wastewater in the study case farm were done. Fecal coliforms (FC) values (maximum 2850 MPN [100mL] -1) in most cases for supply water wells exceeded the allowed limit by NOM-127-SAA1-2021. The year of monitoring was significant (P <  0.05) on FC concentrations. Population density and the proximity of wells to population centers affect negatively the presence of total dissolved solids (TDS) and total nitrogen (TN). TDS (maximum value 2620mg L -1) and phosphorus presence could be related to agricultural activities, human settlements, and local aquifer conditions. A local wastewater treatment issue is evident. Groundwater is not quality for consumption without treatment. Regarding the issues in on-site water monitoring, database analysis provides an approximation of the real situation of groundwater quality.

Lessons learned from using wild-caught and captive-reared lesser scaup (Aythya affinis) in captive experiments

Abstract Waterfowl are housed in captivity for research studies that are infeasible in the wild. Accommodating the unique requirements of semi-aquatic species in captivity while meeting experimental design criteria for research questions can be challenging and may have unknown effects on animal health. Thus, testing and standardizing best husbandry and care practices for waterfowl is necessary to facilitate proper husbandry and humane care while ensuring reliable and repeatable research results. To inform husbandry practices for captive-reared and wild-caught lesser scaup (Aythya affinis; hereafter, scaup), we assessed body mass and fat composition across two different aspects of husbandry, source population (captive-reared or wild caught), and housing densities (birds/m2). Our results suggest that housing scaup at low densities (≤0.6 m2/bird, P=0.049) relative to other species can minimize negative health effects. Captive-reared scaup were heavier (P=0.027) with greater body fat (P&amp;lt;0.001) and exhibited fewer signs of stress during handling than wild-caught scaup. In our experience, scaup which are captive-reared from eggs collected in the wild were better for long-term captivity studies as they maintained body mass between and recovered lost body mass following trials. Researchers would benefit from carefully evaluating the tradeoffs of using short- and long-term captive methods on their research question before designing projects, husbandry practices, and housing facilities for waterfowl.

An approach to assess the consequence of a hypothetical radionuclide release in Singapore - a densely populated urban setting

This study is to demonstrate an approach to investigate the consequence of a hypothetical radionuclide release scenario in Singapore, a typical urban setting with high population density. To this end, we made use of MACCS 4.1, a Gaussian-based atmospheric dispersion model to compute the peak dose and the population health effects. We developed the meteorological and site files from data provided by local government agencies. Our investigation showed that the chosen scenario poses very little to negligible risk to the health of local population as the peak dose received across the country is below the radiation safety level recommended by ICRP.

Changes in patient recruitment parameters and their derivatives under the influence of external factors – population size and density of residence in a certain area

Background. The lack of targeted patient recruitment for clinical trials reaches 90%, which leads to failures of a trial as a whole and insufficient access to the necessary treatment or diagnostic method for patients. To find out the reasons for recruitment failures, many factors are considered, the action of which is difficult to assess due to high variability. In general, various factors are named that reduce patient recruitment, while factors that improve it are much less known.Objective: to investigate changes in the parameters and indicators of patient recruitment for clinical trials depending on the influence of external factors.Material and methods. A retrospective analysis of four international multicenter clinical trials of phases II–III was performed by 16 patient recruitment parameters and their 6 derivatives (indicators) – both widely used in the literature and newly proposed. A total of 622 patients from 70 clinical centers located in 59 cities of Russia, Ukraine, and Belarus were included in the study. The methods of descriptive statistics and typing were used. To study the influence of factors, internal and external factors were selected, external factors including population size, area and density of residence were analysed, and changes in parameters and indicators depending on the influence of each factor were examined. The area and population density were studied in inseparable connection with each other.Results. A simple classification of factors was proposed – external and internal to the clinical center where patients were recruited. The factors classified as external were analyzed depending on the change in the proposed parameters of patient recruitment for clinical trials and their relationships – indicators (derivatives). The final rate of patient recruitment and the final number of patients recruited in the population group of 1–2 million people had statistically significant (p&lt;0.05) higher values (0.57±0.20 and 15.08±5.06, respectively) than in group with up to 1 million people – 0.14±0.05 and 3.75±1.24.Conclusion. For the first time, an extended panel of parameters and indicators that allow evaluating the influence of various factors on patient recruitment for clinical trials was proposed. The value of the proportion of parameters and indicators that had statistical differences among themselves in the group influenced by the population size factor was more than twice as large as the proportion of similar parameters and indicators in the group influenced by area and population density: 47% and 23%, respectively, which may indicate more strong influence of the first factor.

Exploring the association between park size and crime

ABSTRACT This study explored the link between park size and crime risk in Alabama, analyzing 564 parks across 73 cities with populations over 10,000. Park dimensions were measured using Google Earth Pro, and crime data, covering violent and property crimes, were sourced from Applied Geographic Solutions. Additional data on population density, mental health prevalence, social vulnerability, and alcohol expenditure (indicative of affluence) were obtained from the U.S. Census Bureau, CDC, and ESRI. A multiple regression analysis revealed a significant negative association between park size and crime risk, meaning that larger park sizes tended to have lower crime rates. Key covariates—mental health, social vulnerability, and alcohol spending— were also significantly related to crime rates. Our findings have policy implications for local governments and community organizations seeking to reduce crime rates.

First record of the genus Haritalodes Warren, 1890 and H. derogata (Fabricius, 1775) (Lepidoptera: Crambidae: Spilomelinae) from Türkiye and its morphological and molecular identification

The genus Haritalodes Warren, 1890 is represented by 12 species worldwide except in the Nearctic and Neotropical regions. Haritalodes derogata (Fabricius, 1775), commonly known as the cotton leaf roller moth, is the most widely distributed species of the genus and is common in the West Palaearctic Region. This species is one of the most serious pests of Malvaceae. The larvae primarily feed on the leaves, and severe population levels may lead to significant yield loss in the primary host, cotton. In a survey in 2023, the shrubs of the Hibiscus sp. were found to be infested by a group of larvae with a very dense population feeding on the leaves in Trabzon Province, Türkiye. The larvae were reared for pupation and adult emergence. Morphological identification according to male and female genitalia as well as sequencing of the mitochondrial cytochrome oxidase region I (COI) from larvae and adults revealed that the species is H. derogata. This is the first report of the genus Haritalodes and Haritalodes derogata in Türkiye.

Impact of a heterogeneous environment on the population expansion of the harmful plant Iris ruthenica Ker-Gawl. in the high mountain grasslands

Iris ruthenica Ker-Gawl. (Russian iris) is a perennial, clonal, herbaceous plant that is spread across the degraded mountain grasslands in northern Xinjiang. In this study, to explore the breeding system and the impact of slope orientation on the flowering phenology, pollination characteristics, and other aspects of I. ruthenica, we used a combination of field observations and controlled experiments to compare the population density, flowering phenology, floral characteristics, breeding system, and pollinator type and behavior of plants on different slope orientations. Vegetation coverage on the north (N), southwest (SW), and southeast (SE) slopes was 90%, 67%, and 53%, respectively. Differences in plant height and diameter were observed between the SE slope and the N and SW slopes, whereas the N and SW slopes were similar in these respects. The SE slope exhibited the earliest initial flowering time, followed by the SW and N slopes. The diameter of the corolla, distance between the stigma and anther, length of the anther and ovary, number of pollen grains, and number of ovules on the N slope were smaller than those on the SE and SW slopes, whereas those of the SE and SW slopes were similar. Artificial pollination experiments showed that neither bagging nor unbagging resulted in seed formation after emasculation for all slope orientations. The pollinating insects of I. ruthenica included Bombus sp., Amegilla leptocoma, Andrena sp., and Halictus sp.; the types and numbers of pollinating insects differed among slopes. In summary, on SE and SW slopes with high temperatures and sufficient sunlight, this species attracted pollinators and provided them with more opportunities to visit and pollinate by flowering early, with large numbers of blooms, and a longer flowering period and lifespan, ensuring successful reproduction. Under unfavorable conditions, such as insufficient pollinators and limited activity caused by the more stressful environmental conditions of the N slope (including low temperature and insufficient light), this species ensures a certain seed yield by increasing its self-compatibility.

Effect of metro rail extension on flood risks of Bangkok Metropolitan Authority outskirt due to climate and land use land cover changes

ABSTRACT The expansion of Bangkok Metropolitan, driven by economic growth, includes extending metro systems.These changes, alongside a denser population and higher waste generation, have compromised drainage efficiency, amplifying flood vulnerability. Focused on the Pink Line's 34.5-km stretch from Khaerai intersection to Minburi, this study aims to evaluate the Flood Vulnerability Index (FVI) near the metro line, identify critical factors influencing vulnerability, and propose mitigation strategies. The analysis divided the study area into five distinct zones based on area characteristics, then evaluated the FVI according to existing conditions of population density (PO), drainage efficiency (DE), impervious ratio (IR), garbage management (GB), and pond area ratio (PA). It was found that the FVI values ranged from 0.41 to 0.55, and the sensitivity analysis indicated Lat Pha Khao and Ramindra km.4 stations have minor FVI impact due to DE and IR. Conversely, improvements in PA and GB reduced the FVI at Khubon and Eastern Ring Road stations. Consistent FVI is observed with PA and IR enhancements but fluctuates with GB and DE changes. At the Minburi Market Station, the increased IR has a minor FVI impact, while enhanced DE and PA significantly lower the FVI.The degree of factor sensitivity is advantageous for planning local mitigation strategies.

Population Abundance and Density Estimates of Poorly Documented Near-Threatened Calabar Angwantibo (Arctocebus calabarensis) in Oban Hills Region

Population abundance and density estimates play important roles in biodiversity conservation assessment and can lead to prioritization of conservation efforts, strategies, and management. The Calabar angwantibo (Arctocebus calabarensis) is a poorly studied, Near-Threatened nocturnal, arboreal mammal species occurring only in the lowland moist tropical rainforest blocks of southeastern Nigeria and southwestern Cameroon. Like other arboreal nocturnal mammals, there are gaps in knowledge of the distribution and abundance of this species, which may be facing population declines due to habitat loss and hunting. In this study, we investigated the abundance and density of A. calabarensis in the Oban Hills Region of Nigeria. We conducted systematic distance sampling survey along 32 transects in different habitats in a 1227 km of survey efforts. A total of 41 sightings of A. calabarensis were detected, resulting in an abundance of 7345 individuals (95% CI = 1.51–4.37) with an estimated density of 2.57 animals/km2. The estimated population abundance is 6515 individuals in closed-canopy forests and 830 individuals in secondary forests, with encounter rates of 0.52 individual/km2 and 0.60 individuals/km2 in the closed canopy and secondary forest habitats. The global estimates encounter rate of A. calabarensis across the habitat types is 0.33 individuals/km2 and population abundance of 4456 individuals. Our findings indicate that the A. calabarensis populations can adapt to low changes in forest habitat modifications resulting from increasing and widespread forest disturbance by human-dominated activity, which is giving way to forest clearance for agriculture cultivation and infrastructural development. Our findings help to fill a knowledge gap regarding this species and may help establish a baseline for future management, population monitoring, and conservation of the cryptic population of A. calabarensis in Cross-Sanaga Forests.

Simulating the land use change effects on non-point source pollution in the Duliujian River Basin.

The uncertainty in the generation and formation of non-point source pollution makes it challenging to monitor and control this type of pollution. The SWAT model is frequently used to simulate non-point source pollution in watersheds and is mainly applied to natural watersheds that are less affected by human activities. This study focuses on the Duliujian River Basin (Xiqing section), which is characterized by a dense population and rapid urbanization. Based on the calibrated SWAT model, this study analyzed the effects of land use change on non-point source pollution both temporally and spatially. It was found that nitrogen and phosphorus non-point source pollution load losses were closely related to land use type, with agricultural land and high-density urban land (including rural settlements) being the main contributors to riverine nitrogen and phosphorus pollution. This indicates the necessity of analyzing the impact of land use changes on non-point source pollution loads by identifying critical source areas and altering the land use types that contribute heavily to pollution in these areas. The simulation results of land use type changes in these critical source areas showed that the reduction effect on non-point source pollution load is in the order of forest land > grassland > low-density residential area. To effectively curb surface source pollution in the study area, strategies such as modifying urban land use types, increasing vegetation cover and ground infiltration rate, and strictly controlling the discharge of domestic waste and sewage from urban areas can be implemented.

Hybrid CNN-LSTM Model for Air Quality Prediction: A Case Study for Gurugram

One of the most important environmental problems brought about by rapid population growth and industrialization is air pollution. Today, air pollution is generally caused by heating, industry and motor vehicles. In addition, factors such as unplanned urbanization, topographic structure of cities, atmospheric conditions and meteorological parameters, building and population density also cause pollution to increase. Pollutants with concentrations above limit values have negative effects on humans and the environment. In order to prevent people from being negatively affected by these pollutants, it is necessary to know the pollution level and take action as soon as possible. In this study, a hybrid ConvLSTM model was developed in order to quickly and effectively predict air pollution, which has such negative effects on humans and the environment. ConvLSTM was compared with LR, RF, SVM, MLP, CNN and LSTM using approximately 4 years of air quality index data from the city of Gurugram in India. Experimental results showed that ConvLSTM was significantly more successful than the base models, with 30.645 MAE and 0.891 R2.

Urban-rural disparities in COVID-19 hospitalisations and mortality: A population-based study on national surveillance data from Germany and Italy.

Recent literature has highlighted the overlapping contribution of demographic characteristics and spatial factors to urban-rural disparities in SARS-CoV-2 transmission and outcomes. Yet the interplay between individual characteristics, hospitalisation, and spatial factors for urban-rural disparities in COVID-19 mortality have received limited attention. To fill this gap, we use national surveillance data collected by the European Centre for Disease Prevention and Control and we fit a generalized linear model to estimate the association between COVID-19 mortality and the individuals' age, sex, hospitalisation status, population density, share of the population over the age of 60, and pandemic wave across urban, intermediate and rural territories. We find that in what type of territory individuals live (urban-intermediate-rural) accounts for a significant difference in their probability of dying given SARS-COV-2 infection. Hospitalisation has a large and positive effect on the probability of dying given SARS-CoV-2 infection, but with a gradient across urban, intermediate and rural territories. For those living in rural areas, the risk of dying is lower than in urban areas but only if hospitalisation was not needed; while for those who were hospitalised in rural areas the risk of dying was higher than in urban areas. Together with individuals' demographic characteristics (notably age), hospitalisation has the largest effect on urban-rural disparities in COVID-19 mortality net of other individual and regional characteristics, including population density and the share of the population over 60.

Abstract PO5-07-08: A Serum Biomarker for the Early Detection of Breast cancer

Abstract Background: After decades of use, clinicians and medical societies are still debating on the clinical utility of mammography, the standard of care for breast cancer (BC) screening, because of its limitations such as subjective visual interpretation, high rate of false-positive and false-negative (in dense breast) and concerns over radiation exposure. There are 55 million women, and about 45% of them considered dense breast, in need of an accurate, easy to use test for the screening of BC regardless of breast tissue complexities to differentiate between BC and benign findings such as calcification and fibrosis. To this date there is no blood protein biomarker (BM) in clinical use for the early detection of BC. We have developed a novel BC specific protein biomarker -based blood test to detect patients with early-stage BC and established herein the diagnostic performance of our BM in discriminating BC patients from healthy individuals and benign breast cases. Methods: A total of 433 serum samples (318 primary BC, 32 benign breast and 83 normal breast) were obtained from the Cooperative Human Tissue Network and from the IRCCS San Raffaele Pisana Research Center (blind samples). 247 BC samples were provided as blind samples and were used to validate the screening utility. Serum samples were tested with our BC specific BM by sandwich ELISA. Receiver operating characteristic (ROC) curves were calculated to evaluate the diagnostic performance, by determining sensitivity (SE), specificity (SP), area under the curve (AUC), and confidence interval (CI). Statistical analysis, ROC curves and scatter plots were performed with GraphPad Prism 7.0. Results: BM elevation in early cancer cases (stage I-II, Ductal Carcinoma) was found to be statistically significant (p&amp;lt; 0.0001) as compared to healthy and benign cases. Our test discriminated early BC patients from non-cancer cases with 87.3% SE at 85.2% SP and was further validated in a blind set including 247 BC (Ductal &amp; Lobular Carcinoma, stage I-III), 30 benign and 83 normal breast cases (88%SE, 86%SP). The sensitivity for early-stage (I-II) and late stage (III) BC was 86.8% and 94.3%, respectively. While lobular carcinoma is particularly not well detected by mammography with a sensitivity as low as 57% and much lower for women with dense breast, it was detected with high sensitivity (90%) in our test. 80% of fibrocystic changes (FCC), the most common form of benign breast disease in women over 50 years of age were negative with our test. Although it is a benign condition, FCC may be misdiagnosed as a malignant lesion by physical examination and imaging. Conclusion: Our results support the utility of our blood-based test for the early detection of breast cancer which presents improved features over mammography such as higher lobular cancer sensitivity, lower detection rate of common form of benign condition often misdiagnosed by imaging, absence of radiation and expected high compliance. Further testing is needed to confirm accuracy of our test in the dense breast population. Citation Format: Christine Chavany, Jeffrey Dea, Monica Guevara, Rafael Hernandez-Gonzalez, Patrizia Ferroni, Fiorella Guadagni, Rosaura Valle, Moncef Jendoubi. A Serum Biomarker for the Early Detection of Breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-07-08.

Effect of Methyl Jasmonate on the Performance of Tetranychus evansi Baker &amp; Pritchard, 1960 (Acari: Tetranychidae) and Phytoseiulus longipes Evans, 1968 (Acari: Phytoseiidae) on Tomato Plants

Inducible anti-herbivore defenses in plants are predominantly regulated by jasmonic acid (JA). The red spider mite Tetranychus evansi Baker &amp; Pritchard, 1960 (Acari: Tetranychidae) is an invasive pest known for its detrimental impact on tomato plants and other Solanaceae crops. Here, we investigated the extent to which T. evansi and the predatory mite Phytoseiulus longipes Evans, 1968 (Acari: Phytoseiidae) are affected by induced JA-defenses. Initially, we artificially induced the JA-response in tomato plants using exogenous methyl jasmonate (MeJA) and subsequently assessed the effect of JA defenses on spider mite by evaluating mortality and oviposition rates. Our findings revealed a higher mortality and lower oviposition rates on plants treated with MeJA compared to non-treated control plants. Furthermore, we examined the predatory mite's predation rates on spider mite eggs produced on MeJA-treated and non-treated tomato plants. The results showed a reduced predation on T. evansi eggs derived from MeJA-treated plants, indicating a potential negative impact of JA-induced defenses on the predator's performance. Finally, we released five predatory females on T. evansi-infested tomato plants treated and non-treated with MeJA, monitoring the predator population density for three generations. Predator population was not affected, as the abundance of larvae and adults was not significantly different between treatments. These findings underscore the negative impact of JA defenses on herbivores and highlight the trade-off it may pose on natural enemies.

Abstract PO5-10-04: Rare to Care: Assessing Awareness and Health Disparity Factors Related to Inflammatory Breast Cancer in the Primary Care Setting

Abstract Background: The diagnosis of inflammatory breast cancer (IBC) is life-changing as it is a rare, highly aggressive breast cancer variant designated by NIH as a cancer health disparity. Given the unique presentation of diffuse tumor cell spread in the absence of a solid mass, which is not easily detected by self-breast exams or mammograms, IBC patients often face delays in diagnosis and treatment. Therefore, an individualized and a multifaceted approach that addresses the unique needs of the patient with input from both providers and the community is an unmet need. To address this, we are investigating the current knowledge and perspectives of providers and public related to rare cancers like IBC in primary care practices. Methods: Researchers and advanced practice providers collaboratively drafted and piloted the initial surveys with guidance from a Community Advisory Board, comprising of members from academic institutions, primary care practices in urban and rural setting, topical experts, and patient advocates, in order to assess primary care providers (PCPs) and general public knowledge, attitudes and health seeking practices related to rare cancer like IBC. Results: The surveys are currently being administered statewide specific to PCPs or public via cognitive interviews and/or using an online survey tool within North Carolina as a model of a large state (100 counties) with a range of population densities, race, ethnicities, and environmental burdens. Challenges elaborated at the PCP level include communicating rare cancer information, gaps in confidence in diagnosing IBC, timely follow-up with patients, and accessing specialty care and an unmet need for developing PCP educational modules to improve guideline-concordant care. Public data analyzed to date is from a Duke Outpatient Clinic, an urban ambulatory care teaching practice serving primarily low-income, medically complex patients in Durham (n=14) included 69% Black, 93% female, with 68% in households earning under $50,000 annually). 71% had not heard of IBC; 64% did not identify high BMI as a risk factor; 36% did not know there is differential race-related incidence; 74% did not recognize IBC-specific symptoms. 50% noted lack of insurance, transportation, religious reasons, or difficulty or fear of talking to a physician contributed in general delay in seeking health care. Most importantly, 93% expressed feeling comfortable sharing information about IBC with others. Majority expressed that adding visual aids and providing educational materials about IBC at the time of survey would be helpful. Conclusions: The results highlight the role of PCPs, including physicians, physician assistants, and nurse practitioners, who are often the first point of contact when patients begin to notice signs or symptoms. The general public and the patients with common breast cancer subtypes can provide valuable insight into their own health care experiences, what works for them and what barriers they face in their communities, which can be used to compare with experience of patients with IBC and other rare cancers. Overall, the lessons from this study inform the development of effective tools to educate PCPs and patients for this understudied cancer that contributes to disparities in clinical and survival outcomes in minoritized and marginalized populations. Support in part from the Duke Cancer Institute pilot as part of the P30 Cancer Center Support Grant (P30CA014236) and Duke School of Medicine Behavioral Health and Survey Research Core Facility Award (GRD, ANT); Duke Advanced Practice Provider Leadership Institute scholarship (VK, GRD), Department of Surgery (GRD); Duke Ahead Education grant; NIH/NCI RO1CA264529-01 (GRD); ACS Mission Boost grant MBG-20-141-01-MBG (GRD), Nakayama Public Service Scholar Award (AB). Citation Format: Gayathri R Devi, Lawrence Greenblatt, Rashmi Saincher, Valerie Keck, Beau Blass, Sarah Weaver, Alexandra Bennion, Anh Tran. Rare to Care: Assessing Awareness and Health Disparity Factors Related to Inflammatory Breast Cancer in the Primary Care Setting [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-10-04.