The model is aimed at synthesizing existing data to enhance the understanding of this data and explore the consequences of possible browse management strategies. It gives a good reproduction of the shoot and leaf growth responses used to develop it and a reasonable prediction of leaf growth when tested against independent data. The prediction of shoot growth against independent data was poor. Sensitivity analyses indicate that five parameters have a very strong influence on the output of the model. These are moisture, soil depth, the magnitude and duration of growth stimulation following defoliation, how soon growth is initialized and how favourable growing conditions are in spring. Plant size and the carry?over of growth stimulation from one year to the next had a moderate influence.
Journal articles from the Grassland Society of Southern Africa (GSSA) African Journal of Range and Forage Science as well as related articles and reports from throughout the southern African region.