Browsing by Author "Siamak Khorram, Committee Co-Chair"

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    Land Cover Mapping and Change Detection in Urban Watersheds Using QuickBird High Spatial Resolution Satellite Imagery.
    (2008-04-25) Hester, David Barry; Siamak Khorram, Committee Co-Chair; Stacy A.C. Nelson, Committee Co-Chair; Halil I. Cakir, Committee Member; Heather Cheshire, Committee Member
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    Spatial Modeling of Forest Foliar Nitrogen Concentration across the Southern US Region
    (2003-12-03) Mao, Zhiyan; Hugh Devine, Committee Member; Montserrat Fuentes, Committee Member; Steven McNulty, Committee Member; Ge Sun, Committee Co-Chair; Siamak Khorram, Committee Co-Chair
    Foliar N concentration represents a primary link between C and N dynamics in forest ecosystems, and it is widely used as a critical parameter for ecosystem modeling. This study was designed to investigate the relationships between foliar N concentrations and a set of environmental factors, and to detect the spatial pattern of forest foliar N concentrations in the southern US region. A field observation foliar N concentration database was generated by combining literature search data with field study data. A spatial GIS database was developed from diverse data sources, which contained: climatic variables such as mean January temperature, mean July temperature and precipitation; soil variables such as soil organic matter and soil available water capacity; and total N deposition. Totally 104 data points were obtained including 61 for deciduous forests and 43 for coniferous forests after processing both foliar N concentration and GIS data. Various model fit approaches were employed for exploring the regression relations between foliar N concentrations and the selected environmental variables, including simple linear regression, variable-transformed linear regression and stepwise-based multiple regression. It was found that in this region, foliar N concentrations of deciduous forests were correlated primarily with mean July temperature, secondarily with mean January temperature, while foliar N concentrations of coniferous forests were correlated primarily latitude, secondarily with mean January temperature. A set of predictive equations were developed based on the regression analysis results and validated against previously reserved data points using split-sample approach. These equations could be applied across the region for spatially explicit estimation of forest foliar N concentrations.