On the calculation of the topographic wetness index: evaluation of different methods based on field observations

The topographic wetness index (TWI, ln(<i>a</i>/tan<I>&beta;</I>)), which combines local upslope contributing area and slope, is commonly used to quantify topographic control on hydrological processes. Methods of computing this index differ primarily in the way the upslope contributing area is calculated. In this study we compared a number of calculation methods for TWI and evaluated them in terms of their correlation with the following measured variables: vascular plant species richness, soil pH, groundwater level, soil moisture, and a constructed wetness degree. The TWI was calculated by varying six parameters affecting the distribution of accumulated area among downslope cells and by varying the way the slope was calculated. All possible combinations of these parameters were calculated for two separate boreal forest sites in northern Sweden. We did not find a calculation method that performed best for all measured variables; rather the best methods seemed to be variable and site specific. However, we were able to identify some general characteristics of the best methods for different groups of measured variables. The results provide guiding principles for choosing the best method for estimating species richness, soil pH, groundwater level, and soil moisture by the TWI derived from digital elevation models

From guinea pig to computer mouse Alternative methods for a humane education

SIGLEAvailable from British Library Document Supply Centre-DSC:m00/22629 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Personal brand equity:Scale development and validation

Crafting a personal brand has become an important factor for career success. Despite the growing literature on topics associated with personal brands, the conceptualization and measurement of personal brand equity (PBE) have received little attention. By drawing upon and integrating the marketing and careers literatures on branding, we reconceptualized the definition of PBE and delineated its dimensions and conceptual boundaries. Furthermore, we developed a 12-item scale to measure PBE. Among seven different samples (total N = 3,273), including two samples of employees, this study tested the construct and criterion-related validity of the PBE scale. First, exploratory and confirmatory factor analyses supported a three-dimensional structure of PBE (brand appeal, brand differentiation, and brand recognition). In two samples, the convergent and discriminant validity of the PBE scale was established. Finally, this study showed that PBE predicts perceived employability, career success, and job performance. The PBE scale offers new opportunities to understand and measure career behaviors by considering individuals’ personal brand positioning