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| Title: | Spatial Modeling of Forest Foliar Nitrogen Concentration across the Southern US Region |
| Authors: | Mao, Zhiyan |
| Advisors: | Hugh Devine, Committee Member
Montserrat Fuentes, Committee Member
Steven McNulty, Committee Member
Ge Sun, Committee Co-Chair
Siamak Khorram, Committee Co-Chair |
| Keywords: | spatial modeling
GIS
linear regression
stepwise regression
foliar N concentration |
| Issue Date: | 3-Dec-2003 |
| Degree: | MS |
| Discipline: | Forestry |
| Abstract: | 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. |
| URI: | http://www.lib.ncsu.edu/resolver/1840.16/2377 |
| Appears in Collections: | Theses
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