
Tiffany Pillay
Supervisors: David Ward
Phone: 0332606018
Address: 1 Carbis Road
Scottsville
School of Life Sciences
University of KwaZulu-Natal
South Africa
Phone: 0332606018
Address: 1 Carbis Road
Scottsville
School of Life Sciences
University of KwaZulu-Natal
South Africa
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Papers by Tiffany Pillay
plays a role in determining the woody plant cover of
humid savannas. Spatial point-pattern analysis can
give insights to the underlying processes affecting the
individuals in a population. We assessed the spatial
patterns of Acacia karroo trees from savannas in
KwaZulu-Natal, using conventional nearest neighbour
analysis and second-order spatial statistics such as
Ripley’s K- and L-functions, and the univariate and
bivariate O-ring statistics. We predicted that juvenile
trees would be spatially aggregated, because of
facilitation between shrubs when zones of overlap
are relatively small, while adult trees would be
regularly spaced because of the effects of densitydependent
mortality (i.e. consistent with the honeycomb
rippling model).
Location: Neil Tainton Arboretum, University of KwaZulu-Natal, Pietermaritzburg, ZA.
Methods: Using a target–neighbour design, all combinations of four humid and four mesic savanna tree seedlings were tested in a greenhouse experiment, to establish the effects of neighbourhood competition on target plant performance. The competitive response and effect of each species was quantified, and regressed against several functional traits to determine which traits are predictive of competitive ability.
Results: We found that neighbour density negatively affected the survival of mesic tree seedlings but not humid tree seedlings. Mesic plants were able to maintain their relative growth rates (RGRs) despite increasing neighbourhood competition. The RGRs of humid species significantly decreased as the density of neighbours increased, indicating that competition may be a factor affecting plants in savannas receiving more than 650 mm mean annual rainfall. We used the quantile regression method to showthat the biomass of humid tree seedlings decreased with increased neighbour biomass, when considering competitive response only. We also found that resource-acquiring traits (such as maximum RGR, plant height and root biomass) were positively correlated with the competitive effect of mesic savanna seedlings, while specific leaf area captured the competitive response of humid savanna seedlings to neighbour competition.
Conclusions: Competitive interactions between savanna trees negatively affect survival and growth rate, although the competitive effect or response of a particular species depends on its adaptation to either high- or low-resource environments.
Our results show significant relationships between plant traits and
competitive ability, which may be used to predict competitive interactions between tree seedlings fromhumid and mesic savannas.