Development and parameterization of a rain- and fire-driven model for exploring elephant effects in African savannas

Baxter, P. W. J. & Getz, W. M. (2008) Development and parameterization of a rain- and fire-driven model for exploring elephant effects in African savannas. Environmental Modeling and Assessment, 13(2), pp. 221-242.

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We describe the development and parameterization of a grid-based model of African savanna vegetation processes. The model was developed with the objective of exploring elephant effects on the diversity of savanna species and structure, and in this formulation concentrates on the relative cover of grass and woody plants, the vertical structure of the woody plant community, and the distribution of these over space. Grid cells are linked by seed dispersal and fire, and environmental variability is included in the form of stochastic rainfall and fire events. The model was parameterized from an extensive review of the African savanna literature; when available, parameter values varied widely. The most plausible set of parameters produced long-term coexistence between woody plants and grass, with the tree-grass balance being more sensitive to changes in parameters influencing demographic processes and drought incidence and response, while less sensitive to fire regime. There was considerable diversity in the woody structure of savanna systems within the range of uncertainty in tree growth rate parameters. Thus, given the paucity of height growth data regarding woody plant species in southern African savannas, managers of natural areas should be cognizant of different tree species growth and damage response attributes when considering whether to act on perceived elephant threats to vegetation. © 2007 Springer Science+Business Media B.V.

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6 citations in Web of Science®

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ID Code: 82389
Item Type: Journal Article
Refereed: Yes
Keywords: Elephants, Herbivory, Loxodonta africana, Plant demography, Spatial modeling, Tree-grass coexistence, Woody plants, Elephantidae
DOI: 10.1007/s10666-007-9091-9
ISSN: 14202026 (ISSN)
Divisions: Current > Schools > School of Earth, Environmental & Biological Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Springer
Deposited On: 10 Mar 2015 07:52
Last Modified: 13 Mar 2015 05:01

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