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Papers by Christine Howitt

Research paper thumbnail of Generic skills for graduate accountants: the bigger picture, a social and economic imperative in the new knowledge economy

Research paper thumbnail of Comparison of an intuitive mapping classification and numerical classifications of vegetation in south-east Queensland, Australia

Vegetatio, 1991

ABSTRACT Hierarchical agglomerative polythetic clustering of vegetation data for 51 sites from Br... more ABSTRACT Hierarchical agglomerative polythetic clustering of vegetation data for 51 sites from Brian Pastures Research Station, south-east Queensland, Australia, produced site and species groups that supported those formed during a previous intuitive mapping survey. On the basis of floristic composition, these analyses suggested the possible amalgamation of some map units. However, their segregation into separate units was justified on the basis of having distinct photopatterns and physiographic positions in the landscape. The classifications of the trees only (55 species) and woody plants only (115 species) data sets produced site groupings of high similarity to those constructed by the mapping survey. The addition of the herbaceous plants (266 additional species, of which 70% were annual species) tended to dominate the analyses, and produce site groupings that were less similar to the mapping groups. The distribution of many annual species appeared to be independent of the perennial plant species and underlying substrate. In wooded communities, herbaceous plants have only a minor influence on photopattern, which is the primary determinant of the mapping classification. Binary data retained a large percentage of the information contained in the quantitative data. The extra effort of gathering herbaceous data may not be justified for a broad scale mapping project, but is required for comprehensive nature conservation surveys, flora inventory, and vegetation monitoring purposes.

Research paper thumbnail of The'Light and Dark Box': Challenging pre-primary children's ideas about whether the grass is still green at night

Research paper thumbnail of Generic skills for graduate accountants: the bigger picture, a social and economic imperative in the new knowledge economy

Research paper thumbnail of Comparison of an intuitive mapping classification and numerical classifications of vegetation in south-east Queensland, Australia

Vegetatio, 1991

ABSTRACT Hierarchical agglomerative polythetic clustering of vegetation data for 51 sites from Br... more ABSTRACT Hierarchical agglomerative polythetic clustering of vegetation data for 51 sites from Brian Pastures Research Station, south-east Queensland, Australia, produced site and species groups that supported those formed during a previous intuitive mapping survey. On the basis of floristic composition, these analyses suggested the possible amalgamation of some map units. However, their segregation into separate units was justified on the basis of having distinct photopatterns and physiographic positions in the landscape. The classifications of the trees only (55 species) and woody plants only (115 species) data sets produced site groupings of high similarity to those constructed by the mapping survey. The addition of the herbaceous plants (266 additional species, of which 70% were annual species) tended to dominate the analyses, and produce site groupings that were less similar to the mapping groups. The distribution of many annual species appeared to be independent of the perennial plant species and underlying substrate. In wooded communities, herbaceous plants have only a minor influence on photopattern, which is the primary determinant of the mapping classification. Binary data retained a large percentage of the information contained in the quantitative data. The extra effort of gathering herbaceous data may not be justified for a broad scale mapping project, but is required for comprehensive nature conservation surveys, flora inventory, and vegetation monitoring purposes.

Research paper thumbnail of The'Light and Dark Box': Challenging pre-primary children's ideas about whether the grass is still green at night

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