Caption "Lone Scotia species tree left standing when all other bush destroyed above Dubu Drift, on the Keiskamma R. southern King William’s Town district. Even the veld is destroyed. Ca. 1962"

The people of Pikoli in the Peddie district of the Eastern Cape are mostly unemployed and earn most of their income from old-age allowances. The place is remote and 'modern' amenities such as paraffin and petroleum gas are expensive. Electricity and transport are unavailable. There is heavy reliance on woody plants for fuel and for materials for construction and fencing and to some extent medicinal and ritual uses. Indigenous trees in this rural area are threatened by over-utilisation and the absence of clear government management policies. The over-utilisation of these resources is leading to deforestation. It was proposed at the beginning of this study that people who harvest trees cause similar results to the piosphere effect caused by the herbivores on the rangeland. Ecological-economic analysis was performed to find a common ground between the people's income and needs so that effective sustainable management strategies can be developed. A combination of semi-structured interviews, direct observations and ecological surveys were used to gather information about: Tree species used, and for what purpose in Pikoli; Individual tree species preference by inhabitants; Change in tree density in response to changes in utilisation intensity at varying distances away from the village; The local direct use benefits inhabitants derive from utilising indigenous tree resources. The study showed that the people of Pikoli use a variety of 23 indigenous trees and that they have marked preferences regarding the tree species they use for fuelwood and construction purposes. Although Ptaeroxylon obliquum is a highly preferred species for fuelwood and construction, its popularity can also be linked to its high relative abundance in this area. Other species such Maytenus undata and Pappea capensis are also highly preferred although they are harvested at much greater distances from thecentre of the village. Change in individual tree density in response to changes in utilisation intensity at varying distances away from the village showed clearly that a piosphere effect also applies to human harvesting. The average number of individual trees closer (1 200 m) to the village centre was 2 trees per 100 m², and their numbers increase to approximately 35 trees per 100 m² at a distance of about 3 000 m from the village centre. The study reports on the direct use benefits derived by the people of Pikoli from harvesting tree resources. The average total net value of trees harvested for fuelwood was R4089.09 (US$ 359.01) per household per annum. The value of tree resources harvested represents a large percentage of average households' annual income. Therefore, the economic benefits households derive from utilising tree resources are high. Indigenous tree resource use in this rural village seems to be unsustainable and the inhabitants seem to be aware of it. However, they have few alternatives. Their economic conditions do not allow them to afford alternative resources available in the formal market.

The main objective of this study is to evaluate climate change mitigation strategies in the forestry and energy sectors in the SADC with emphasis on the DRC and the RSA. This study is evaluative and cross-sectional. Its results were got through interviews of 56 key informants using the interview guide, and four focus group discussions in the DRC based on the focus group guide. The non-probability sample, mainly the purposive sample and the snowballing sampling were used. After the data analysis, the following results were found: In terms of the strategies for fighting drivers of deforestation both in the DRC and in RSA, it was revealed that the DRC focuses more on the REDD+ projects and NGO activities while the RSA protects its small existing natural forests through Acts, laws, advanced research and establishment of commercial plantations. The results which are related to the contribution of REDD programmes and NGOs to climate change mitigation in the RSA and the DRC have revealed that there are no REDD programmes in the RSA for carbon stock. In the DRC, the NOVACEL REDD+ pilot project has a carbon stock of 60 000 tons which continues to grow with 8 tons of CO2 /ha/year; 210 tons/ha/year on the left side of the Congo River, and on the right side 195 tons/ha/year is generated by the Isangi Geographically Integrated REDD+ pilot project. The WCS Mambasa Forestry REDD+ pilot project has 230 tons/ha/year, while 16 000 tons of CO2/year are stocked under the Luki REDD+ pilot project. The Eco-Makala and Equatorial REDD+ pilot projects have not yet estimated their carbon stocks. Regarding the involvement of the civil society in activities of climate change mitigation in the DRC, people are more involved in REDD’s alternative activities which are funded by the projects. However, in the RSA, people are used as labour in commercial plantations. The RSA derives its major energy from coal (94%) but the DRC has a high potential in hydropower that can generate up to 100 000 MGW. On the use of remote sensing, both the DRC and the RSA employ remote sensing but the RSA has a Spatial Agency while the DRC does not / College of Agriculture and Environmental Sciences / D. Litt. et Phil. (Environmental Science)

MENVM / Department of Geography and Geo-Information Sciences / Fuel wood is regarded as a major source of energy around the world, particularly in developing nations. Most rural communities around the world, consider forests as the repository of stored energy. The high dependence on forests as a source of fuel wood has a major impact on vegetation because trees take a long time to regenerate to maturity, hence high dependence leads to deforestation. Fuel wood is used for household needs, such as cooking and heating and its uses contribute to the emissions of Green House Gases (GHG) such as CO2, CH4, and Black Carbon amongst others. The study assesses household energy use, the amount of carbon dioxide emitted from the combustion of fuel wood, the extent of de-vegetation and strategies to ensure sustainable energy provisions in the case study areas. Primary and secondary methods were used to collect data. The data were analysed using Statistical Package for the Social Sciences (SPSS 21.0), showing the frequency distribution, measures of central tendency and chi-square to determine the extent of fuel wood used in relation to electricity. The primary data were collected through personal observations, field surveys, interviews and questionnaires, while secondary data included the 2011 South Africa Census data and remote sensing images, which with the aid of GIS, were used in mapping the vegetation change.