Modeling Tools

Map of Watersheds

The Center’s hydrology and water quality research program is designed to address important issues in forested landscapes, focusing on the low-gradient systems typical of the coastal plain, using both the monitoring and modeling approaches.

The primary research is being conducted on long-term experimental watersheds at Santee Experimental Forest in South Carolina. The gauged watersheds, two first order streams (WS-77, WS-80), a second order system (WS-79) and a third order stream, Turkey Creek (WS-78), comprise a network providing a scaled hydrology and ecosystem monitoring framework.

Cooperative research is the foundation for the work on the Santee watersheds, it also provides the basis for addressing other hydrogeomorphic settings. The Center is collaborating with North Carolina State University at Weyerhaeuser’s long-term managed pine plantation forests at Carteret County in eastern North Carolina complements the hydrologic and water quality studies related with effects of intensive forest management for timber production and most recently the effects of switchgrass, as an alternative biofuel, inter-planted between pine trees.

The primary models and modeling tools being developed/applied using the long-term data for hydrology and water quality impact assessments are DRAINMOD, MIKESHE, DNDC, and SWAT. The applications of this work address the full spectrum of hydrologic resource issues in the southeastern United States, ranging from assistance for management decisions and monitoring assessments on the National Forest to addressing questions associated with urbanization, climate change and land use.

The long-term data is readily available, and it provides an excellent reference for comparison with more intensively managed forests and/or protection and restoration of developed watersheds in the coastal plain, or for assessing allowable loading for receiving waters.

Available Datasets

Mangrove carbon stocks in Zambezi River Delta, Mozambique

Carbon stocks in mangroves in the Zambezi River Delta of Mozambique (East Africa) were inventoried using a stratified random sampling approach from 2012 to 2016. A total 52 plots containing 287 subplots were objectively distributed using a GIS based spatial decision support system (SDSS) to represent the characteristics of mangroves and the operating constraints within the Delta area. The inventory was designed to provide estimates of above- and below-ground carbon stocks for the entire Delta. Data include species, height and diameter at breast height for overstory, understory and dead trees, mass of woody debris, litter, and ground vegetation. Data to estimate soil carbon and nitrogen content to 2 meters depth are also included.

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CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique

This data set provides high resolution canopy height estimates for mangrove forests in the Zambezi Delta, Mozambique, Africa. The estimates were derived from three separate canopy height models (CHM) using airborne Lidar data, stereophotogrammetry with WorldView 1 imagery, and Interferometric-Synthetic Aperture Radar (In-SAR) techniques with TanDEM-X imagery. The data cover the period 2011-10-14 to 2014-05-06.

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