scholarly journals Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0208126 ◽  
Author(s):  
Nancy Montes ◽  
Robert Swett ◽  
Robert Ahrens
Keyword(s):  
United States ◽  
Seasonal Distribution ◽  
Southeast United States ◽  
Recreational Vessels

Stereo photo series for quantifying natural fuels. Volume XII: Post-hurricane fuels in forests of the Southeast United States.

2009 ◽  
Author(s):  
Robert E. Vihnanek ◽  
Cameron S. Balog ◽  
Clinton S. Wright ◽  
Roger D. Ottmar ◽  
Jeffrey W. Kelly
Keyword(s):  
United States ◽  
Southeast United States

National Land Cover Database 2001 (NLCD01) Imperviousness Layer Tile 4, Southeast United States: IMPV01_4

Data Series ◽  
2010 ◽  
Author(s):  
Michael Wieczorek ◽  
Andrew E. LaMotte
Keyword(s):  
United States ◽  
Land Cover ◽  
Southeast United States

Characterization of non-methane hydrocarbons in the rural southeast United States

1997 ◽  
Vol 31 (23) ◽  
pp. 4017-4038 ◽  
Author(s):  
Lisa M. Hagerman ◽  
Viney P. Aneja ◽  
William A. Lonneman
Keyword(s):  
United States ◽  
Southeast United States

Phenolic compound profile of selected vegetables frequently consumed by African Americans in the southeast United States

2007 ◽  
Vol 103 (4) ◽  
pp. 1395-1402 ◽  
Author(s):  
Zhiliang Huang ◽  
Baowu Wang ◽  
Doris H. Eaves ◽  
James M. Shikany ◽  
Ralphenia D. Pace
Keyword(s):  
United States ◽  
African Americans ◽  
Phenolic Compound ◽  
Southeast United States

Spatial structure and temporal patterns in a large marine ecosystem: Exploited reef fishes of the southeast United States

2009 ◽  
Vol 100 (2) ◽  
pp. 126-133 ◽  
Author(s):  
Kyle W. Shertzer ◽  
Erik H. Williams ◽  
J. Christopher Taylor
Keyword(s):  
United States ◽  
Spatial Structure ◽  
Marine Ecosystem ◽  
Temporal Patterns ◽  
Reef Fishes ◽  
Southeast United States ◽  
Large Marine Ecosystem

scholarly journals Management of Daylily Rust With Different Fungicides and Fungicide Combinations

2017 ◽  
Vol 18 (3) ◽  
pp. 162-165 ◽  
Author(s):  
Robert S. Emmitt ◽  
James W. Buck
Keyword(s):  
United States ◽  
Disease Management ◽  
Disease Severity ◽  
Low Cost ◽  
Single Application ◽  
Southeast United States ◽  
Disease Progress Curve ◽  
Disease Progress ◽  
Progress Curve ◽  
Disease Pressure

Production nurseries and daylily hybridizers in the southeast United States rely on the use of fungicides to manage daylily rust, caused by the fungus Puccinia hemerocallidis. Foliar sprays of pyraclostrobin, flutolanil, tebuconazole, myclobutanil, chlorothalonil, mancozeb, pyraclostrobin + boscalid, flutolanil + tebuconazole, flutolanil + myclobutanil, flutolanil + chlorothalonil, and flutolanil + mancozeb applied on 14-day intervals, and a nontreated control, were evaluated under high disease pressure at three locations in Griffin, GA, in 2015. Tebuconazole or the tebuconazole + flutolanil treatment consistently had the lowest area under the disease progress curve (AUDPC) of the treatments. The addition of flutolanil to chlorothalonil or mancozeb did not improve rust control and no difference in disease severity was observed in any treatment containing contact fungicides on all assessment dates. Single application costs ranged from $10.21 to $95.96 with tebuconazole providing excellent disease management at a relatively low cost per application ($13.90).

“Would You Wear That to Church?!”: The Production of “Ladies” in an All Girls’ After-School Club in the Southeast United States

2018 ◽  
pp. 004208591880261
Author(s):  
Alison Happel-Parkins ◽  
Jennifer Esposito
Keyword(s):  
United States ◽  
After School ◽  
Southeast United States ◽  
School Club

scholarly journals Characterizing severe weather potential in synoptically weakly forced thunderstorm environments

2017 ◽  
Author(s):  
Paul W. Miller ◽  
Thomas L. Mote
Keyword(s):  
United States ◽  
High Resolution ◽  
Numerical Model ◽  
Model Error ◽  
Severe Weather ◽  
Forecasting Model ◽  
Weather Event ◽  
Southeast United States ◽  
Accurate Representation ◽  
Severe Weather Event

Abstract. Weakly forced thunderstorms (WFTs), short-lived convection forming in synoptically quiescent regimes, are a contemporary forecasting challenge. The convective environments that support severe WFTs are often similar to those that yield only nonsevere WFTs, and additionally, only a small proportion individual WFTs will ultimately produce severe weather. The purpose of this study is to better characterize the relative severe weather potential in these settings as a function of the convective environment. Thirty near-storm convective parameters for > 200 000 WFTs in the Southeast United States are calculated from a high-resolution numerical forecasting model, the Rapid Refresh (RAP). For each parameter, the relative likelihood of WFT days with at least one severe weather event is assessed along a moving threshold. Parameters (and the values of them) that reliably separate severe-weather-supporting from nonsevere WFT days are highlighted. Only two convective parameters, vertical totals (VT) and total totals (TT), appreciably differentiate severe-wind-supporting and severe-hail-supporting days from nonsevere WFT days. When VTs exceeded values between 24.6–25.1 °C or TTs between 46.5–47.3 °C, severe-wind days were roughly 5 × more likely. Meanwhile, severe-hail days became roughly 10 × more likely when VTs exceeded 24.4–26.0 °C or TTs exceeded 46.3–49.2 °C. The stronger performance of VT and TT is partly attributed to the more accurate representation of these parameters in the numerical model. Under-reporting of severe weather and model error are posited to exacerbate the forecasting challenge by obscuring the subtle convective environmental differences enhancing storm severity.

scholarly journals Decadal-scale decline of scamp (Mycteroperca phenax) abundance along the southeast United States Atlantic coast

2018 ◽  
Vol 204 ◽  
pp. 74-87 ◽  
Author(s):  
Nathan M. Bacheler ◽  
Joseph C. Ballenger
Keyword(s):  
United States ◽  
Atlantic Coast ◽  
Southeast United States ◽  
Decadal Scale
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