Journal of
Geography and Regional Planning

  • Abbreviation: J. Geogr. Reg. Plann.
  • Language: English
  • ISSN: 2070-1845
  • DOI: 10.5897/JGRP
  • Start Year: 2008
  • Published Articles: 384

Full Length Research Paper

Vulnerability of traditional beef sector to drought and the challenges of climate change: The case of Kgatleng District, Botswana

Sennye Masike1 and Peter Urich2
  1 Department of Environmental Science, University of Botswana, Private Bag 0022, Gaborone, Botswana. 2 International Global Change Institute, University of Waikato, University Private Bag 3105, Hamilton, New Zealand.
Email: [email protected]

  •  Accepted: 13 February 2008
  •  Published: 31 March 2008

Abstract

 

Cattle’s rearing in Botswana is undertaken in two sectors: the communal and commercial. The communal sector is exclusively free range and therefore depends on biomass production. This makes the systems highly susceptible to drought. One strategy that has been devised by farmers to adapt to drought has been to overstock. However, this strategy may not be the best adaptation strategy as it leads to overgrazing and quick depletion of scarce biomass during the drought years. Climate change may increase the vulnerability of the communal cattle sector in the country mostly through changes and variability of rainfall. In the article, we determine the reliability of the rainfall in the Khurutshe area, Botswana. Vulnerability of the cattle sector to system severe failure is also determined. Lastly, the effects of climate change on return period of drought are investigated. Results indicate that the reliability index of rainfall in the Kgatleng District is 0.5. The vulnerability index of the cattle is estimated at 8000 per year. Lastly, using SimCLIM computer model climate change will shorten the return period of mild drought from 2 years to 1.6 years by 2050. These findings have serious implications on the recovery period of the cattle to withstand the next drought period.

 

Key words: Cattle sector, climate change, climate scenarios, drought, reliability, return period, vulnerability index, adaptation measures