An assessment of household energy use, emissions and deforestation in the Thulamela Local Municipality

• Main Author: Ahunamure, Solomon Eghosa
• Other Authors: Nethengwe, N. S.
• Language: en
• Published: 2016
• Subjects: Deforestation; Emmissions; Energy; Grenhouse Gases; Fuel wood; 333.79320968257; Rural electrification > South Africa > Limpopo; Households > South Africa > Limpopo; Basic needs > South Africa > Limpopo; Quality of life > South Africa > Limpopo; Global warming > South Africa > Limpopo; Deforestation > South Africa > Limpopo; Fuelwood > South Africa > Limpopo; Fuelwood industry > South Africa > Limpopo; Energy industries > South Africa > Limpopo
• Online Access: http://hdl.handle.net/11602/360

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.