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Developing Rapid Indicators To Detect Micropollutants In Coastal Blackwater Rivers In South Carolina, Lydia Winn
Developing Rapid Indicators To Detect Micropollutants In Coastal Blackwater Rivers In South Carolina, Lydia Winn
All Theses
Micropollutants in water sources are found in higher concentrations in areas with high levels of urban and agricultural land. These pollutants can be introduced into water sources during storms and rain events, through water treatment outputs, and commercial or residential waste. These events increase the levels of both nutrients and micropollutants in these water sources. With increasing levels of micropollutants in rivers, this study’s goal was to develop an alternative detection method or an indicator test for the levels of micropollutants in water. We first proposed the use of amicrobial fuel cell (MFCs) operating as a biosensor could be utilized …
Patterns Of Occurrence Of The Black Basses In The Upper Savannah River Tributaries Of Georgia And South Carolina With Emphasis On Bartram’S Bass Micropterus Sp. Cf. Coosae, Caroline Cox
All Theses
Aquatic ecosystems are among the most threatened in the world due to anthropogenic alterations to the natural landscape and native biotas. Identifying the local and landscape-level environmental factors that influence the occurrence of endemic species can help protect aquatic ecosystems by facilitating predictions of where hybridization or replacement with generalist species may occur across the landscape. The need for such predictions is pronounced for black bass species in the southeastern United States. Bartram’s Bass (Micropterus sp. cf. coosae) is a provisional species of conservation concern. Allelic frequencies of Bartram’s Bass in Savannah River reservoirs and tributaries have been …
Temporal Analysis Of Field, Ssurgo, And Lidar Derived Site Indices In The Southeastern U.S., Steven Ham
Temporal Analysis Of Field, Ssurgo, And Lidar Derived Site Indices In The Southeastern U.S., Steven Ham
All Theses
Sustainable forest management requires accurate information about site index (SI, tree height at a base age). The objectives of this study were to compare site indices from field inventory data (2008-2009), Soil Survey Geographic Database (SSURGO), and Light Detection and Ranging (LiDAR, 2008), and to determine the uncertainty in the site indices from the southern part of the Clemson Experimental Forest. When LiDAR derived analysis were used to compare to SSURGO there were statistical differences for site indices for all of the tree species in this study: loblolly pine (Pinus taeda), scarlet oak (Quercus coccinea), shortleaf pine (Pinus echinata), white …