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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/2017

Title: Vegetation structure characteristics and relationships of Kalahari woodlands and savannas
Authors: Privette, JL
Tian, Y
Roberts, G
Scholes, RJ
Wang, Y
Caylor, KK
Frost, P
Mukelabai, M
Keywords: Vegetation structure
Kalahari woodlands
Plant area index
Leaf area index
Canopy cover
Semi-arid vegetation
Environmental sciences
Biodiversity conservation
Issue Date: Mar-2004
Publisher: Blackwell Publishing Ltd
Citation: Privette, JL, et al. 2004. Vegetation structure characteristics and relationships of Kalahari woodlands and savannas. Global Change Biology, vol. 10(3), pp 281-291
Abstract: The Kalahari Transect is one of several International Geosphere-Biosphere Programme (IGBP) transects designed to address global change questions at the regional scale, in particular by exploiting natural parameter gradients ( Koch et al., 1995 ). In March 2000, we collected near-synoptic vegetation structural data at five sites spanning the Kalahari's large precipitation gradient (about 300-1000 mm yr (-1)) from southern Botswana (similar to 24 degrees S) to Zambia (similar to 15 degrees S). All sites were within the expansive Kalahari sand sheet. Common parameters, including plant area index (PAI), leaf area index (LAI) and canopy cover (CC), were measured or derived using several indirect instruments and at multiple spatial scales. Results show that CC and PAI increase with increasing mean annual precipitation. Canopy clumping, defined by the deviation of the gap size distribution from that of randomly distributed foliage, was fairly constant along the gradient. We provide empirical relationships relating these parameters to each other and to precipitation. These results, combined with those in companion Kalahari Transect studies, provide a unique and coherent test bed for ecological modelling. The data may be used to parameterize process models, as well as test internally predicted parameters and their variability in response to well-characterized climatological differences.
URI: http://hdl.handle.net/10204/2017
ISSN: 1354-1013
Appears in Collections:Forestry and wood science
Ecosystems processes & dynamics
General science, engineering & technology

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