Dataset Information

Lehardyia alleithoros, sp. nov. (Turbellaria, Kalyptorhynchia) from the Coast of North Carolina, USA.

ABSTRACT: As with other high-energy beaches, those of North Carolina harbor a diverse fauna of kalyptorhynch turbellarians, and most appear to be new to science. Here, we describe Lehardyia alleithoros, a new kalyptorhynch turbellarian of the Karkinorhynchidae, from 3 high-energy beach sites in North Carolina. We also report an apparent range extension for Carcharodorhynchus flavidusBrunet, 1967. These observations bring the total number of kalyptorhynch turbellarians reported from the marine interstitial environment of North Carolina to five.

SUBMITTER: Whitson A

PROVIDER: S-EPMC4063683 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Lehardyia alleithoros, sp. nov. (Turbellaria, Kalyptorhynchia) from the Coast of North Carolina, USA.

Whitson Ashley A Smith Julian P S JP Litvaitis Marian K MK

Southeastern naturalist (Steuben, Me.) 20110601 2

As with other high-energy beaches, those of North Carolina harbor a diverse fauna of kalyptorhynch turbellarians, and most appear to be new to science. Here, we describe Lehardyia alleithoros, a new kalyptorhynch turbellarian of the Karkinorhynchidae, from 3 high-energy beach sites in North Carolina. We also report an apparent range extension for Carcharodorhynchus flavidusBrunet, 1967. These observations bring the total number of kalyptorhynch turbellarians reported from the marin ...[more]

PMID: 24955066

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Project description:This article presents an ArcGIS geodatabase of socio-demographic and physical characteristics derived from recent high resolution data sources to construct measures of population vulnerability to inundation in the 28 counties of coastal North Carolina, U.S.A. as presented in Pricope et al., 2019. The region is simultaneously densely populated, low-lying and exposed to recurrent inundation related to storms and incremental sea level rise. The data presented here can be used as a decision support tool in coastal planning, emergency management preparedness, designing adaptation strategies and developing strategies for coastal resilience. The socio-demographic data (population and housing) was derived from 228 tables at the block-group level of geography from the 2010 U.S. Census Bureau. These data were statistically analyzed, using Principal Component Analysis, to identify key factors and then used to construct a Social Vulnerability Index (SOVI) at the block-group level of geography which highlighted regions where socio-demographic characteristics such as family structure, race, housing (primarily owner vs. renter-occupied), special needs populations (e.g. elderly and group living), and household/family size play an overwhelmingly important role in determining community vulnerability from a social perspective. An index of physical exposure was developed using the National Flood Hazards Maps (available from North Carolina's Flood Risk Information System and FEMA) along with a novel building inventory dataset available from the North Carolina Department of Public Safety that contains the Finished-Floor Elevation of every structure in the state. We took advantage of the unprecedented high spatial resolution nature of the building inventory dataset to calculate an index of physical vulnerability to inundation of every block group in the 28 coastal counties relative to Base Flood elevations and identified hotspots where this intersection predisposes people to an increased risk of flooding. Here, we present the final derived dataset containing the social, physical and an integrative measure of vulnerability to flooding that can be used at multiple scales of analysis, starting with the regional, county, local, and neighborhood to identify areas of priority intervention for risk-reduction in coastal planning and emergency management preparedness as well as forward-looking adaptation strategies.

Project description:BackgroundHealth disparities exist between urban and rural populations, yet research on rural-urban disparities in temperature-mortality relationships is limited. As inequality in the United States increases, understanding urban-rural and regional differences in the temperature-mortality association is crucial.ObjectiveWe examined regional and urban-rural differences of the temperature-mortality association in North Carolina (NC), USA, and investigated potential effect modifiers.MethodsWe applied time-series models allowing nonlinear temperature-mortality associations for 17 years (2000-2016) to generate heat and cold county-specific estimates. We used second-stage analysis to quantify the overall effects. We also explored potential effect modifiers (e.g. social associations, greenness) using stratified analysis. The analysis considered relative effects (comparing risks at 99th to 90th temperature percentiles based on county-specific temperature distributions for heat, and 1st to 10th percentiles for cold) and absolute effects (comparing risks at specific temperatures).ResultsWe found null effects for heat-related mortality (relative effect: 1.001 (95% CI: 0.995-1.007)). Overall cold-mortality risk for relative effects was 1.019 (1.015-1.023). All three regions had statistically significant cold-related mortality risks for relative and absolute effects (relative effect: 1.019 (1.010-1.027) for Coastal Plains, 1.021 (1.015-1.027) for Piedmont, 1.014 (1.006-1.023) for Mountains). The heat mortality risk was not statistically significant, whereas the cold mortality risk was statistically significant, showing higher cold-mortality risks in urban areas than rural areas (relative effect for heat: 1.006 (0.997-1.016) for urban, 1.002 (0.988-1.017) for rural areas; relative effect for cold: 1.023 (1.017-1.030) for urban, 1.012 (1.001-1.023) for rural areas). Findings are suggestive of higher relative cold risks in counties with the less social association, higher population density, less green-space, higher PM2.5, lower education level, higher residential segregation, higher income inequality, and higher income (e.g., Ratio of Relative Risks 1.72 (0.68, 4.35) comparing low to high education).ConclusionResults indicate cold-mortality risks in NC, with potential differences by regional, urban-rural areas, and community characteristics.

Dataset Information

Lehardyia alleithoros, sp. nov. (Turbellaria, Kalyptorhynchia) from the Coast of North Carolina, USA.

Publications

<i>Lehardyia alleithoros</i>, <i>sp. nov</i>. (Turbellaria, Kalyptorhynchia) from the Coast of North Carolina, USA.

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