Water Analysis of Habitats of Sphagnum in the Coastal Plain of North and South Carolina

1981 ◽  
Vol 84 (3) ◽  
pp. 408 ◽  
Author(s):  
David M. Lane ◽  
Stephanie Dubois
Keyword(s):  
South Carolina ◽  
Water Analysis ◽  
Coastal Plain ◽  
North And South

Comparison of Amino Acid Racemization Geochronometry with Lithostratigraphy, Biostratigraphy, Uranium-Series Coral Dating, and Magnetostratigraphy in the Atlantic Coastal Plain of the Southeastern United States

1982 ◽  
Vol 18 (3) ◽  
pp. 337-359 ◽  
Author(s):  
L. McCartan ◽  
J. P. Owens ◽  
B. W. Blackwelder ◽  
B. J. Szabo ◽  
D. F. Belknap ◽  
...  
Keyword(s):  
South Carolina ◽  
Amino Acid ◽  
Coastal Plain ◽  
Atlantic Coastal Plain ◽  
Amino Acid Racemization ◽  
Uranium Series ◽  
Myrtle Beach ◽  
Atlantic Coastal ◽  
North And South ◽  
Integrated Study

AbstractThe results of an integrated study comprising litho- and biostratigraphic investigations, uranium-series coral dating, amino acid racemization in molluscs, and paleomagnetic measurements are compared to ascertain relative and absolute ages of Pleistocene deposits of the Atlantic Coastal Plain in North and South Carolina. Four depositional events are inferred for South Carolina and two for North Carolina by all methods. The data suggest that there are four Pleistocene units containing corals that have been dated at about 100,000 yr, 200,000 yr, 450,000 yr, and over 1,000,000 yr. Some conflicts exist between the different methods regarding the correlation of the younger of these depositional events between Charleston and Myrtle Beach. Lack of good uranium-series dates for the younger material at Myrtle Beach makes the correlation with the deposits at Charleston more difficult.

EUPATORIUM PALUDICOLA (ASTERACEAE): A NEW SPECIES FROM THE COASTAL PLAIN OF NORTH AND SOUTH CAROLINA

Rhodora ◽  
2007 ◽  
Vol 109 (938) ◽  
pp. 137-144 ◽  
Author(s):  
Richard J. LeBlond ◽  
Edward E. Schilling ◽  
Richard D. Porcher ◽  
Bruce A. Sorrie ◽  
J. F. Townsend ◽  
...  
Keyword(s):  
South Carolina ◽  
New Species ◽  
Coastal Plain ◽  
North And South ◽  
A New Species

Use of CSM-CROPGRO-Cotton to Determine the Agronomic and Economic Value of Irrigation to Upland Cotton Production in North and South Carolina

2018 ◽  
Vol 61 (5) ◽  
pp. 1627-1638
Author(s):  
Todd A. Spivey ◽  
Gail G. Wilkerson ◽  
Gregory S. Buol ◽  
Keith L. Edmisten ◽  
Edward M. Barnes
Keyword(s):  
South Carolina ◽  
Economic Analysis ◽  
Simulation Model ◽  
Coastal Plain ◽  
Upland Cotton ◽  
Economic Value ◽  
Soil Profiles ◽  
Cotton Yield ◽  
Cotton Production ◽  
North And South

Abstract. Although prior research has shown that irrigation can increase cotton fiber yields in coastal plain soils of the Carolinas, only 2.7% of North Carolina’s and 7.8% of South Carolina’s planted hectares are irrigated, compared to 39% nationally. Little research has addressed the impact of compacted subsurface soil layers on the value of irrigation. Economic analysis of irrigation is also difficult due to the lack of long-term irrigation data for the region. The objectives of this study were to adapt the CSM-CROPGRO-Cotton simulation model to production conditions in the coastal plain of the Carolinas and use it to evaluate both the agronomic and economic value of irrigation to upland cotton production. Field data collected near Lewiston-Woodville, North Carolina, in 2015-2016 were used in model calibration and validation. Soil profiles were established using historical weather and cotton yield data for 16 cotton-producing counties in North and South Carolina from 1979 to 2015. Soil profiles were fit both with and without a root-restrictive (compacted) layer for each county. To evaluate the value of irrigation for these counties, simulations were conducted using ten irrigation levels, including non-irrigated, triggered when plant-available water (PAW) reached a maximum allowable depletion of 50%. The economic analysis made use of Cotton Incorporated’s Cotton Irrigation Decision Aid to determine the economic feasibility of irrigation using investment analysis tools such as cash flow, payback period, and net present value (NPV). Predicted agronomic and economic responses to irrigation were strongly dependent on seasonal rainfall. Fiber yield of non-irrigated cotton was reduced by more than 10% of fully irrigated cotton yield in more than 70% of the site-years simulated. This study suggests that irrigation is a feasible investment for cotton producers in North and South Carolina, as positive average cash flows and NPVs were observed over all counties and soils evaluated. Keywords: Cotton, CROPGRO, Crop simulation model, Economic analysis, Irrigation, Water use efficiency, Yield loss.

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