Development of Community-Level Capacity of Resilience to Natural Hazards for Environmental- and Social-Justice-Challenged Communities: 1. Approach, Concepts, and Assessment of Existing Information.

Impoverished and under-served communities are often exposed to the worst environmental and climate hazards. Identifying these communities and building their resilience capacity to withstand such hazards is a vital justice aspect of environmental management. Building community resilience requires five activities: (1) examination of existing information, (2) community engagement and assessment of local knowledge, (3) development of reasonable strategies to build resilience, (4) implementation and these strategies, and (5) monitoring and transability of the process. This manuscript examines the first component of this process. The attributes of multiple parishes in Louisiana are examined using available data and existing models of human well-being, community resilience, and environmental/climate/socioeconomic justice. These existing models and tools were used to determine parish-level resilience to natural hazards including flooding, hurricanes, and other potential natural climatic hazards in central Louisiana (U.S.). Through consultation with state officials and local community groups, candidate environmental justice (EJ) and social justice (SJ) communities were selected to develop resilience capacity enhancement plans to address potential adverse parish and community outcomes of natural hazard events. Of the available parishes, St. Helena Parish was selected as an entity that would significantly benefit from resilience capacity building. The remaining two activities, community engagement and strategy development, will be examined in sister manuscripts. Continuing studies, to be described elsewhere, will describe community engagement and the determination of strategies, implementation plans, and the monitoring of the success of these strategic implementations.

Comparison of ionised calcium measured using a portable analyser to a reference method in healthy dogs.

OBJECTIVES: To compare the ionised calcium measured on a portable analyser (iSTAT, Abbott) to a reference method. MATERIALS AND METHODS: Blood samples from 39 apparently healthy dogs were analysed in duplicate using a portable analyser and a reference method (Radiometer ABL800 FLEX). Bland-Altman plots and Passing-Bablok regression were used to assess constant and proportional bias between the two instruments. A within-assay percentage coefficient of variation and total error (TE) was calculated for both analysers. The reference interval was calculated for the portable analyser using the robust method with confidence interval bootstrapping. RESULTS: The Bland-Altman plot showed a -0.036 mmol/L difference between the two instruments (95% confidence limit -0.08 to 0.01 mmol/L; limits of agreement -0.07 to 0.006 mmol/L). Neither the Bland-Altman plot nor the Passing-Bablock regression (slope -0.03; 95% confidence interval -0.08 to 0.19 and intercept 1; 95% confidence interval 0.83 to 1.2) showed significant proportional bias. The coefficient of variation for the portable analyser was 1.08%, compared to 0.78% for the reference method with a total error of 3.5% for the portable analyser. The estimated population-based reference interval for ionised calcium using the portable analyser is 1.23 to 1.42 mmol/L. CLINICAL SIGNIFICANCE: For the healthy dogs in this study, compared to the reference method, the portable analyser showed no significant bias for measurement of ionised calcium. Further studies including hyper and hypocalcaemic dogs are required to determine clinical impact of the use of this analyser.

Impact of war on veteran life span: natural experiment involving combat versus non-combat exposed military personnel.

INTRODUCTION: There is still uncertainty around the impact of combat exposure on the life span of war veterans. Therefore we made use of a natural experiment to study the impact on veteran life span of combat versus non-combat exposure in World War II (WW2). METHODS: The combat-exposed military personnel were derived from a random (10%) sample of the military roll of the 28th (Maori) Battalion from New Zealand. One non-combat cohort was the 15th Reinforcements of this same Battalion, since the war ended before they reached the front line. The other non-combat cohort were Maori personnel who were only involved in Jayforce, which occupied Japan at the end of the WW2. Data on life span were mainly derived from an official repository of birth and death records, but supplemented with other sources, including military files. RESULTS: When comparing life spans of service veterans, there was no statistically significant reduction for the average life span of the 234 combat-exposed veterans in our sample from the 28th (Maori) Battalion (66.7 years), relative to the Maori veterans from two non-combat cohorts: the 132 personnel in the 15th Reinforcements (67.2 years) and the 147 personnel in Jayforce (66.9 years). CONCLUSIONS: Despite a very high level of wounding in the combat-exposed group (48%), there were no statistically significant reductions in life span between this group and comparable non-combat exposed veterans. This finding contrasts to life span reductions found in a similar study of New Zealand veterans of WW1.

Methods for a composite ecological suitability measure to inform cumulative restoration assessments in Gulf of Mexico estuaries.

Ecosystem management requires a systematic, holistic approach that considers ecological and social outcomes. Effective restoration practices promote a balance of ecological and social goals by addressing ecological integrity, efficiently maximizing benefits while minimizing investment, and encompassing collaborative stakeholder engagement. Socio-ecological assessments can inform adaptive management and be utilized to prioritize restoration activities and monitor restoration effectiveness. In estuarine systems, socio-ecological assessments should evaluate the ability of habitats to support both ecologically and locally important species. The composite measure presented utilizes a combination of ecological and social measures to characterize ecological suitability for individual and multiple Gulf of Mexico estuarine species. The ecological suitability value (ES) for a given spatial unit is based on a suite of biophysical measures of the quality and extent of suitable habitat for each species, the species' trophic importance in a food web context, and the importance of each species in relation to stakeholder values and benefits. ES values for individual spatial units can be aggregated to estimate the distribution of ecological suitability at the estuarine scale. The ES values are calculated using examples for each step in the process. The information provided by ecological suitability characterizations can support restoration prioritization decisions for Gulf of Mexico estuaries and can provide a baseline measure to gauge restoration effectiveness over time to inform cumulative restoration assessments.

Differential lifespan impacts on veterans by war exposure in the First World War.

INTRODUCTION: There remains uncertainty around the impact of war on the lifespan of First World War (WW1) veterans. In particular, study comparison groups do not typically consider the 'healthy soldier effect'. METHODS: We obtained lifespan data on a random sample of 857 war-exposed New Zealand WW1 veterans and compared this with lifespans of a non-war military cohort (n=1039). This comparison was possible as the non-war-cohort arrived in Europe too late to participate in the war, allowing a 'natural experiment' that avoided the 'healthy solider effect'. RESULTS: The lifespan comparisons indicated lower mean lifespan in the war-exposed veteran cohort compared with the non-war veteran cohort (69.7 vs 71.1 years; p=0.0405). This gap persisted (range: 0.8-1.1 years) but was no longer statistically significant when only considering the non-Maori ethnic grouping (nearly all European/Pakeha personnel), when excluding additional deaths in the immediate postwar period up to 31 December 1923, and when excluding participation in any other wars. This was the case in both analysis of variance and Cox proportional hazards regression adjusting for year of birth and occupational status. Within the war-exposed cohort, there were suggestive patterns of increasing lifespan with increasing occupational status and military rank (eg, 69.5, 70.0 and 70.7 mean years as group-level occupational status progressively increased). There were also stark differences in lifespan of 8.3 years between Maori (Indigenous) and non-Maori veterans (p=0.0083). CONCLUSIONS: The pattern of reduced lifespan in war-exposed versus non-war-exposed veterans was compatible with a smaller previous New Zealand study with comparable methodology. Veterans who were Maori had significantly lower lifespans than non-Maori veterans. There are a number of feasible avenues to further improve this type of work with existing data sources.

A conceptual approach to characterizing ecological suitability: Informing socio-ecological measures for restoration effectiveness.

A combination of ecological and socio-economic outcome indicators is essential for understanding and assessing the effectiveness of the remediation and restoration of degraded ecosystems and revitalizing communities that could benefit from these ecosystem management activities. In this paper, we propose and develop a conceptual approach to characterize ecological suitability that incorporates ecological attributes that support ecosystem structural diversity and functionality, stakeholder values and perceptions, and the benefits derived from ecosystem goods and services. A structured literature review was used to identify existing restoration frameworks and indicators to inform the conceptual foundation for characterizing ecological suitability. The structure of the conceptual approach primarily builds from ecological and social attributes in the International Principles and Standards for the Practice of Ecological Restoration (Gann et al., 2019). We provide a conceptual example of the ecological suitability approach in estuaries. This example is based on habitat suitability and food web characterizations in combination with the provisioning of ecosystem services and desired social benefits to prioritize and evaluate restoration effectiveness. This foundational work sets the stage for developing a composite measure of ecological suitability. The holistic conceptual approach presented complements existing information regarding restoration effectiveness evaluations. Characterizing ecological suitability is a novel way to incorporate ecological and social information and communicate potential restoration outcomes to ecosystem managers and stakeholders.

Observational Verification of the Cumulative Resilience Screening Index (CRSI) Using Hurricanes, Inland Floods, and Wildfires From 2016 to 2019.

Users can apply three processes to develop confidence in decision-making tools like models and indices-validation, verification, and observation. The utility of the Cumulative Resilience Screening Index (CRSI) was demonstrated by combining the processes of verification and observation using real-world natural hazard events (i.e., hurricanes, inland flooding, and wildfires). The ability of CRSI to determine the counties most vulnerable to hazards and least likely to recover quickly from natural hazards is demonstrated using these natural hazard events from outside the original index construction data set. Using Hurricane Harvey and Hurricane Michael, the counties in Texas and Florida/Georgia, respectively, experiencing the most damage and the most extended recovery intervals were determined accurately. Similarly, the most vulnerable and least recoverable counties were correctly identified as those associated with the Great Louisiana Flood of 2016. Finally, three different types of wildfires in California were examined to determine the likelihood of recovery and the strength of pre-event planning. All models and indices developed for use by decision-makers should consider undertaking this verification or a similar validation operation to enhance user confidence.

Observed Changes in the Frequency, Intensity, and Spatial Patterns of Nine Natural Hazards in the United States from 2000 to 2019.

There is increasing evidence from across the globe that climate change results in changes in the frequency, location, and impact of natural hazards. Much of this evidence is conceptual, inferential, or simply assumed. To provide objective support to confirm these hypotheses, we constructed county-level time-series datasets (2000-2019) for nine natural hazards for the entire United States. Hazards considered for this study included hurricanes, tropical storms, landslides, wildfires, earthquakes, drought, inland flooding, coastal flooding, and tornadoes. Geospatial analysis techniques were used to calculate the percentage (range: 0-100) of land area in each county exposed to each natural hazard for all the years that hazard data were available. The best available data were acquired from publicly accessible sources. Cumulative distribution functions were calculated for each hazard in five-year intervals to test for statistically significant changes in distribution patterns across the five-year time periods using the Kolmogorov-Smirnov test. There were significant changes in hurricanes, tropical storms, and drought over the two decades; changes in tornadoes, landslides, and wildfires were not significant in terms of frequency, likely due to the site-specific nature of their occurrences. The intensity and spatial distribution and an emerging hot spot and spatial trend analyses and an emerging hot spot and spatial trend analyses were also completed (except for flooding events and earthquakes due to insufficient data). All datasets provide empirical support for earlier inferences concerning the connections between the hazards and climate change. Analyses showed apparent changes in the frequency and intensity of hurricanes, tropical storms, and drought-related to climate change factors. Internal and coastal flooding also demonstrated these connections, although the length of the dataset did not permit significant testing but shows significant hot spots and trending locations. Tornadoes, landslides, and wildfires showed significant hot spots and trending locations, but the specific locational nature of the data did not show significant changes in frequency. Earthquakes showed no significant changes over the time period.

Predation Strategies of the Bacterium Bdellovibrio bacteriovorus Result in Overexploitation and Bottlenecks.

With increasing antimicrobial resistance, alternatives for treating infections or removing resistant bacteria are urgently needed, such as the bacterial predator Bdellovibrio bacteriovorus or bacteriophage. Therefore, we need to better understand microbial predator-prey dynamics. We developed mass-action mathematical models of predation for chemostats, which capture the low substrate concentration and slow growth typical for intended application areas of the predators such as wastewater treatment, aquaculture, or the gut. Our model predicted that predator survival required a minimal prey cell size, explaining why Bdellovibrio is much smaller than its prey. A predator considered to be "too good" (attack rate too high, mortality too low) overexploited its prey, leading to extinction (tragedy of the commons). Surprisingly, a predator taking longer to produce more offspring outcompeted a predator producing fewer offspring more rapidly (rate versus yield trade-off). Predation was only efficient in a narrow region around optimal parameters. Moreover, extreme oscillations under a wide range of conditions led to severe bottlenecks. These could be avoided when two prey species became available in alternating seasons. A bacteriophage outcompeted Bdellovibrio due to its higher burst size and faster life cycle. Together, results suggest that Bdellovibrio would struggle to survive on a single prey, explaining why it must be a generalist predator and suggesting it is better suited than phage to environments with multiple prey. IMPORTANCE The discovery of antibiotics led to a dramatic drop in deaths due to infectious disease. Increasing levels of antimicrobial resistance, however, threaten to reverse this progress. There is thus a need for alternatives, such as therapies based on phage and predatory bacteria that kill bacteria regardless of whether they are pathogens or resistant to antibiotics. To best exploit them, we need to better understand what determines their effectiveness. By using a mathematical model to study bacterial predation in realistic slow growth conditions, we found that the generalist predator Bdellovibrio is most effective within a narrow range of conditions for each prey. For example, a minimum prey cell size is required, and the predator should not be "too good," as this would result in overexploitation risking extinction. Together these findings give insights into the ecology of microbial predation and help explain why Bdellovibrio needs to be a generalist predator.

The role of mathematical modelling in understanding prokaryotic predation.

With increasing levels of antimicrobial resistance impacting both human and animal health, novel means of treating resistant infections are urgently needed. Bacteriophages and predatory bacteria such as Bdellovibrio bacteriovorus have been proposed as suitable candidates for this role. Microbes also play a key environmental role as producers or recyclers of nutrients such as carbon and nitrogen, and predators have the capacity to be keystone species within microbial communities. To date, many studies have looked at the mechanisms of action of prokaryotic predators, their safety in in vivo models and their role and effectiveness under specific conditions. Mathematical models however allow researchers to investigate a wider range of scenarios, including aspects of predation that would be difficult, expensive, or time-consuming to investigate experimentally. We review here a history of modelling in prokaryote predation, from simple Lotka-Volterra models, through increasing levels of complexity, including multiple prey and predator species, and environmental and spatial factors. We consider how models have helped address questions around the mechanisms of action of predators and have allowed researchers to make predictions of the dynamics of predator-prey systems. We examine what models can tell us about qualitative and quantitative commonalities or differences between bacterial predators and bacteriophage or protists. We also highlight how models can address real-world situations such as the likely effectiveness of predators in removing prey species and their potential effects in shaping ecosystems. Finally, we look at research questions that are still to be addressed where models could be of benefit.

STRONG: metagenomics strain resolution on assembly graphs.

We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from multiple metagenome samples. STRONG performs coassembly, and binning into metagenome assembled genomes (MAGs), and stores the coassembly graph prior to variant simplification. This enables the subgraphs and their unitig per-sample coverages, for individual single-copy core genes (SCGs) in each MAG, to be extracted. A Bayesian algorithm, BayesPaths, determines the number of strains present, their haplotypes or sequences on the SCGs, and abundances. STRONG is validated using synthetic communities and for a real anaerobic digestor time series generates haplotypes that match those observed from long Nanopore reads.

Investigating the relationship between environmental quality, socio-spatial segregation and the social dimension of sustainability in US urban areas.

This work is intended to assess the relationship between the three dimensions of sustainability (environmental, economic, and social) and residential segregation broadly across US urban areas. Multivariate indices of segregation and sustainability are created using data aggregated to 933 US Census Core-Based Statistical Areas (CBSAs). The relationship between segregation and sustainability (and dimensions, independently) is analyzed across the CBSAs using correlation and spatial analyses. Results show an inverse relationship between segregation and sustainability, where increasing urban segregation corresponds to decreases in sustainability. Social and economic dimensions of sustainability are negatively correlated with segregation while the environmental dimension is positively correlated. Spatial analysis reveals regional associations between the measures with most of the lower sustainability scores and higher segregation scores occuring mainly in the South. The findings demonstrate an inverse relationship between segregation and sustainability as well as between the environmental and social dimensions. These correlations indicate a need to consider inequalities, and the social dimension of sustainability more broadly, when planning urban revitalization efforts. Spatial scale is also imperative to understanding and improving the social outcomes for all members of the community.

Cost-Effectiveness Analysis of Stereotactic Ablative Body Radiation Therapy Compared With Surgery and Radiofrequency Ablation in Two Patient Cohorts: Metastatic Liver Cancer and Hepatocellular Carcinoma.

AIMS: To compare the cost-effectiveness of stereotactic ablative body radiation therapy (SABR) with radiofrequency ablation and surgery in adult patients with metastatic liver cancer and hepatocellular carcinoma (HCC). MATERIALS AND METHODS: Two patient cohorts were assessed: liver oligometastases and HCC. For each patient cohort, a decision analytic model was constructed to assess the cost-effectiveness of interventions over a 5-year horizon. A Markov process was embedded in the decision model to simulate the possible prognosis of cancer. Data on transition probabilities, survival, side-effects, quality of life and costs were obtained from published sources and the SABR Commissioning through Evaluation (CtE) scheme. The primary outcome was the incremental cost-effectiveness ratio with respect to quality-adjusted life-years. The robustness of the results was examined in a sensitivity analysis. Analyses were conducted from a National Health Service and Personal Social Services perspective. RESULTS: In the base case analysis, which assumed that all three interventions were associated with the same cancer progression rates and mortality rates, SABR was the most cost-effective intervention for both patient cohorts. This conclusion was sensitive to the cancer progression rate, mortality rate and cost of interventions. Assuming a willingness-to-pay threshold of £20 000 per quality-adjusted life-year, the probability that SABR is cost-effective was 57% and 50% in liver oligometastases and HCC, respectively. CONCLUSIONS: Our results indicate a potential for SABR to be cost-effective for patients with liver oligometastases and HCC. This finding supports further investigation in clinical trials directly comparing SABR with surgery and radiofrequency ablation.

Associations of Later-Life Education, the BDNF Val66Met Polymorphism and Cognitive Change in Older Adults.

In 358 participants of the Tasmanian Healthy Brain Project, we quantified the cognitive consequences of engaging in varying loads of university-level education in later life, and investigated whether or not BDNF Val66Met affected outcomes. Assessment of neuropsychological, health, and psychosocial function was undertaken at baseline, 12-month, and 24-month follow-up. Education load was positively associated with change in language processing performance, but this effect did not reach statistical significance (P = 0.064). The BDNF Val66Met polymorphism significantly moderated the extent to which education load was associated with improved language processing (P = 0.026), with education load having a significant positive relationship with cognitive change in BDNF Met carriers but not in BDNF Val homozygotes. In older adults who carry BDNF Met, engaging in university-level education improves language processing performance in a load-dependent manner.

Dual Predation by Bacteriophage and Bdellovibrio bacteriovorus Can Eradicate Escherichia coli Prey in Situations where Single Predation Cannot.

Bacteria are preyed upon by diverse microbial predators, including bacteriophage and predatory bacteria, such as Bdellovibrio bacteriovorus While bacteriophage are used as antimicrobial therapies in Eastern Europe and are being applied for compassionate use in the United States, predatory bacteria are only just beginning to reveal their potential therapeutic uses. However, predation by either predator type can falter due to different adaptations arising in the prey bacteria. When testing poultry farm wastewater for novel Bdellovibrio isolates on Escherichia coli prey lawns, individual composite plaques were isolated containing both an RTP (rosette-tailed-phage)-like-phage and a B. bacteriovorus strain and showing central prey lysis and halos of extra lysis. Combining the purified phage with a lab strain of B. bacteriovorus HD100 recapitulated haloed plaques and increased killing of the E. coli prey in liquid culture, showing an effective side-by-side action of these predators compared to their actions alone. Using approximate Bayesian computation to select the best fitting from a variety of different mathematical models demonstrated that the experimental data could be explained only by assuming the existence of three prey phenotypes: (i) sensitive to both predators, (ii) genetically resistant to phage only, and (iii) plastic resistant to B. bacteriovorus only. Although each predator reduces prey availability for the other, high phage numbers did not abolish B. bacteriovorus predation, so both predators are competent to coexist and are causing different selective pressures on the bacterial surface while, in tandem, controlling prey bacterial numbers efficiently. This suggests that combinatorial predator therapy could overcome problems of phage resistance.IMPORTANCE With increasing levels of antibiotic resistance, the development of alternative antibacterial therapies is urgently needed. Two potential alternatives are bacteriophage and predatory bacteria. Bacteriophage therapy has been used, but prey/host specificity and the rapid acquisition of bacterial resistance to bacteriophage are practical considerations. Predatory bacteria are of interest due to their broad Gram-negative bacterial prey range and the lack of simple resistance mechanisms. Here, a bacteriophage and a strain of Bdellovibrio bacteriovorus, preyed side by side on a population of E. coli, causing a significantly greater decrease in prey numbers than either alone. Such combinatorial predator therapy may have greater potential than individual predators since prey surface changes selected for by each predator do not protect prey against the other predator.

Application of a Multi-Hazard Risk Assessment for Local Planning.

The utility of a multi-hazard risk-scape at the county level is significant for county, state, regional, and national policy makers who rely on broad and consistent assessments of hazard exposure and losses. In previous work, the Patterns of Risk using an Integrated Spatial Multi-Hazard (PRISM) approach creates an index of county risk for this purpose. While helpful across large areas, the approach lacks information needed at more localized scales. In this paper, we employ the PRISM approach to all 2015 census tracts in the US. Use of a land-cover approach, with spatial extents and modeled data from 11 natural and 4 technological hazard types, determines spatial exposures. Furthermore, census counts allow for the estimation of population exposures in each tract by hazard type. The results of the tract-level index reveal exposure patterns that contrast the original PRISM model, with a concentration of risk shifting eastward. The distribution of land-cover and population exposure more closely resemble the county index, revealing the importance of scale and land-cover considerations, along with the need for additional investigation of risk drivers. We provide an application of the risk and multi-hazard exposures in two major metropolitan areas to demonstrate utility of the approach at this scale.

The Role of Interaction with Nature in Childhood Development: An Under-Appreciated Ecosystem Service.

Humans depend on the vital services provided by natural ecosystems. Regrettably, some individuals believe these ecosystem services are free; and therefore, have no value. An under-appreciated service provided by ecosystems is strengthening childhood development through interaction with nature to enhance childhood cognitive and physical development. The development of a child's physical and cognitive abilities is complex with studies indicating multiple determinants and varied time scales. Childhood development is the product of many natural, social and built environmental attributes. While the impacts of social and built environments on childhood development are clearly described in the scientific literature, the role of natural environment is less clear. Even though people do not pay for this ecosystem service in a conventional sense, the loss of this service can result in a significant cost to humans through slower cognitive and physical development in children. Deprivation of these exposures to natural ecosystems can diminish a child's development and eventually their underlying quality of life. While the impact of nature on childhood development is understood by most child developmental psychologists, this impact is under-appreciated by non-social scientists studying the contributions of ecosystem services in society. The complicated and symbiotic interactions of natural ecosystems, their services and childhood development are poorly acknowledged in the ecological literature. In this article, the important role of natural ecosystems and their services in childhood cognitive and physical development are examined through an examination of studies assessing this childhood development-ecosystem service connection.

Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions.

In terms of natural hazard events, resilience characterizations provide a means of identifying risk profiles, degrees of preparedness, and the ability of communities to respond and recover. While nationally consistent measures of community resilience to natural hazards are needed to address widespread socio-ecological impacts from a broad policy perspective, geographically specific resilience characterizations are needed to target local resources to increase community resilience. The Climate Resilience index (CRSI) was developed to characterize the resilience of socio-ecological systems in the context of governance and risk to natural hazard events for all U.S. counties for the years 2000-2015. Those resilience characterizations were based on the full range of nationwide county domain scores. This paper presents a re-scaled application of CRSI, where county domain scores are limited to the range of scores within a specific set of U.S. coastal and shoreline counties within each of eight coastal regions. The re-scaled CRSI values for selected counties/parishes in the Gulf of Mexico (GOM) region are also presented in conjunction with calculated Location Quotients (LQ) values >1.0, which represent a high employment dependence on ocean economy sectors. Using a combination of re-scaled CRSI and LQ values provides a more holistic picture of vulnerability and resilience in these U.S. coastal shoreline counties. The relative resilience assessments presented for coastal regions are useful in identifying potential strengths and weaknesses in resilience aspects given similar hazard profiles, a signature otherwise diluted in nation-wide county-level assessments. The unique approach of combining CRSI and LQ for characterizing natural hazard resilience described could be transferred to other specific geographies as defined by population groups, hazard profiles and economic dependence.

Application of the Human Well-Being Index to Sensitive Population Divisions: A Children's Well-Being Index Development.

The assessment of community well-being is critical as an end-point measure that will facilitate decision support and assist in the identification of sustainable solutions to address persistent problems. While the overall measure is important, it is equally vital to distinguish variations among groups within the population who may be impacted in a different manner. The U.S. Environmental Protection Agency (US EPA) developed the Human Well-Being Index (HWBI), as a way of measuring these outcomes and assessing community characteristics. The HWBI approach produces a suite of indicators, domains and a final composite index appropriate for characterizing well-being of a population. While generalized approaches are needed, it is important to also recognize variations in well-being across community enclaves. This paper presents an adaption of the HWBI for child populations to test the applicability of the index framework to specific community enclaves. First, an extensive literature review was completed to ensure the theoretical integrity of metric and indicator substitutions from the original HWBI framework. Metric data were then collected, refined, imputed where necessary and evaluated to confirm temporal and spatial availability. A Children's Well-Being Index (CWBI) value, representing the same indicators and domains of well-being as the original HWBI, was calculated for the population under age 18 across all US counties for 2011. Implications of this research point to an effective, holistic end-point measure that can be tracked over time. Similarly, there is great potential for the application of the original HWBI method to other statistical population segments within the greater US population. These adaptations could help identify and close gaps in equity of resource distribution among these groups.

Measuring Community Resilience to Natural Hazards: The Natural Hazard Resilience Screening Index (NaHRSI)-Development and Application to the United States.

Natural disasters often impose significant and long-lasting stress on financial, social, and ecological systems. From Atlantic hurricanes to Midwest tornadoes to Western wildfires, no corner of the United States is immune from the threat of a devastating natural hazard event. Across the nation, there is a recognition that the benefits of creating environments resilient to adverse natural hazard events help promote and sustain county and community success over time. The challenge for communities is in finding ways to balance the need to preserve the socioecological systems on which they depend in the face of constantly changing natural hazard threats. The Natural Hazard Resilience Screening Index (NaHRSI; previously entitled Climate Resilience Screening Index) has been developed as an endpoint for characterizing county resilience outcomes that are based on risk profiles and responsive to changes in governance, societal, built, and natural system characteristics. The NaHRSI framework serves as a conceptual roadmap showing how natural hazard events impact resilience after factoring in county characteristics. By evaluating the factors that influence vulnerability and recoverability, an estimation of resilience can quantify how changes in these characteristics will impact resilience given specific hazard profiles. Ultimately, this knowledge will help communities identify potential areas to target for increasing resilience to natural hazard events.