Land User Participation in Developing a Computerised Decision Support System for Combating Desertification |
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Authors: | A. Barac K. Kellner N. De Klerk |
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Affiliation: | (1) School of Environmental Sciences and Development: Botany, Potchefstroom University for CHE, Potchefstroom, South Africa;(2) Ministry of Environment and Tourism: Directorate of Environmental Affairs, Windhoek, Namibia |
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Abstract: | Combating desertification in natural rangelands has recently become a priority in large parts of southern Africa. Rangeland managers, farmers, scientists, conservationists and land users have been applying a variety of restoration technologies to address this problem. Bush encroachment, as part of the desertification process, involves the natural replacement of the herbaceous plant cover by undesirable problem woody species. The active and passive restoration technologies that are applied, are mainly based on indigenous knowledge and include the chemical, mechanical or manual reclamation of unproductive rangelands, as well as the combating of woody and alien species encroachment. Indigenous practices and knowledge play a major role in the effectiveness and success rate of these technologies. This project faces the challenge of bringing together both local and scientific knowledge in a single user-friendly, computerised Decision Support System (DSS) which is directly accessible by land users to support them in the process of decision making, concerning the combating of desertification. Case studies from central and northern Namibia were used to combine qualitative and quantitative data to develop this Decision Support System. The DSS currently consists of two databases and an expert system, which evaluates the results of land users’ management practices, and provides easily accessible information and advice for participants in the system, based on the incorporated data. The DSS is also linked to national and international web sites and databases to offer a wider range of information on technologies concerning agricultural and conservation practices. |
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Keywords: | artificial intelligence bush encroachment Decision Support System desertification indigenous knowledge land management problem woody species |
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