期刊
AFRICAN JOURNAL OF RANGE & FORAGE SCIENCE
卷 29, 期 3, 页码 109-131出版社
TAYLOR & FRANCIS LTD
DOI: 10.2989/10220119.2012.744352
关键词
classification; GIS; plant community ecology; remote sensing; savanna
资金
- Malilangwe Trust
The vegetation of Malilangwe Wildlife Reserve in Zimbabwe (39 378 ha) was classified and mapped in 2003 using an integrated approach of ground-based measurement and remote sensing. Environmental variables, structure and composition of the tree, shrub and herbaceous layers were sampled at 201 sites across the reserve. Thirty-eight vegetation types were identified using TWINSPAN, and a map of the types was created by supervised classification of a Landsat 7 ETM+ image (2000). A discriminant function analysis showed that the types were primarily separated along a soil textural gradient. A secondary gradient, associated with changes in soil depth, rockiness, slope and topographical position, was also important. Ordination indicated that several other independent environmental gradients appeared to be influencing the vegetation. Comparisons with other southern African savannas are made, and similarities and differences are discussed.
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