scholarly journals North Carolina Residential Energy Code Field Study: Baseline Report

2017 ◽  
Author(s):  
2017 ◽  
Author(s):  
Rosemarie Bartlett ◽  
Mark A. Halverson ◽  
Vrushali V. Mendon ◽  
John E. Hathaway ◽  
YuLong Xie ◽  
...  

Paleobiology ◽  
2018 ◽  
Vol 44 (4) ◽  
pp. 783-797 ◽  
Author(s):  
Kelly E. Cronin ◽  
Gregory P. Dietl ◽  
Patricia H. Kelley ◽  
Stewart M. Edie

AbstractLife span bias potentially alters species abundance in death assemblages through the overrepresentation of short-lived organisms compared with their long-lived counterparts. Although previous work found that life span bias did not contribute significantly to live–dead discordance in bivalve assemblages, life span bias better explained discordance in two groups: longer-lived bivalve species and species with known life spans. More studies using local, rather than global, species-wide life spans and mortality rates would help to determine the prevalence of life span bias, especially for long-lived species with known life spans. Here, we conducted a field study at two sites in North Carolina to assess potential life span bias between Mercenaria mercenaria and Chione elevata, two long-lived bivalve species that can be aged directly. We compared the ability of directly measured local life spans with that of regional and global life spans to predict live–dead discordance between these two species. The shorter-lived species (C. elevata) was overrepresented in the death assemblage compared with its live abundance, and local life span data largely predicted the amount of live–dead discordance; local life spans predicted 43% to 88% of discordance. Furthermore, the global maximum life span for M. mercenaria resulted in substantial overpredictions of discordance (1.4 to 1.6 times the observed live–dead discordance). The results of this study suggest that life span bias should be considered as a factor affecting proportional abundances of species in death assemblages and that using life span estimates appropriate to the study locality improves predictions of discordance based on life span compared with using global life span estimates.


1992 ◽  
Vol 19 (2) ◽  
pp. 126-131 ◽  
Author(s):  
J. P. Schmidt ◽  
F. R. Cox

Abstract Decreasing concentrations of extractable Mg in soils of peanut (Arachis hypogaea L.) production regions of North Carolina have resulted in increased Mg fertilizer recommendations. There is little soil or plant criteria, however, on which to base Mg deficiency. The objective of this study was to determine the yield and Mg status of peanuts relative to the level of soil Mg. Five counties were surveyed for leaf and soil data in 1989–90. Similar data were available from nine counties in 1970–72. A field experiment was also conducted in 1989–90 in an on-going lime and Mg study. Although the 1990 survey data suggested that phosphogypsum usage during the last decade may be reducing Mg levels in the surface soil, leaf Mg was almost invariably above 2.0 g kg-1 for both surveys, reflecting adequate amounts of soil Mg according to current plant analysis standards. In the field study, prior lime and Mg treatments resulted in soil Mg ranging from 0.02 to 0.25 cmolc L-1, but there was no yield response that could be related directly to Mg. Leaf Mg was positively correlated to surface soil Mg, and inclusion of subsoil Mg slightly improved this relationship. The data from these studies indicated that sufficient leaf Mg (above 2.0 g kg-1) was attained when surface soil Mg was as low as 0.06 cmolc L-1 or as low as 3 percent of the CEC. We feel these estimates of the soil Mg critical level for peanut production are high, as there was not a Mg deficiency with leaf Mg as low as 1.5 g kg-1 in the field study.


2017 ◽  
Author(s):  
Mark A. Halverson ◽  
Rosemarie Bartlett ◽  
Vrushali V. Mendon ◽  
John E. Hathaway ◽  
YuLong Xie ◽  
...  

2017 ◽  
Author(s):  
Rosemarie Bartlett ◽  
Mark A. Halverson ◽  
Vrushali V. Mendon ◽  
John E. Hathaway ◽  
YuLong Xie ◽  
...  

2017 ◽  
Author(s):  
Rosemarie Bartlett ◽  
Mark A. Halverson ◽  
Vrushali V. Mendon ◽  
John E. Hathaway ◽  
YuLong Xie ◽  
...  

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