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Spatial and temporal extent of land degradation in a communal landscape of KwaZulu-Natal, South Africa.January 2009 (has links)
Land degradation in communal rangelands is one of the problems that lowers land / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2009.
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From policy to implementation : a case study of sustainable resource use policy in Enkumane, Mkomazi Valley, KwaZulu-Natal.Jacobs, David. January 2004 (has links)
Land degradation is a national concern that needs to be redressed and
prevented by the government and its agencies as it has a significant
impact on agricultural productivity and food security. The National
Department of Agriculture is in the process of reforming the sustainable
resource use policy to deal with the causes of land degradation and to
promote the sustainable use of natural resources, particularly in poverty stricken
areas. Prior to 1994, this policy was only applied in areas where
commercial agriculture was practised.
The researcher has explored the struggles encountered during the
implementation of the sustainable resource use policy through a case
study approach within the Enkumane region of KwaZulu-Natal. The
research followed a cross-sectional approach drawing from methods such
as typology techniques, semi-structured interviews and questionnaires,
which were employed at various stages in the policy process, from the
levels of policy-makers to the intended beneficiaries. A literature review
emphasized the importance of applying integrated and participatory
approaches in implementing a public policy.
The results highlighted significant differences of opinion concerning the
implementation of the sustainable resource use policy within and between
the different stages of the process from policy to implementation. This
was partly attributed to the inadequacy in terms of clear roles, direction
and guidelines, and also in terms of the institutionalisation of experience,
knowledge and skills. It was recommended that a more co-ordinated and integrated effort is required to reform the policy. This calls for the
establishment of mechanisms to ensure that people at all stages in the
policy process are involved in a participatory manner, towards the
continual improvement of the sustainable resource use policy.
The significance of this study is twofold, firstly the financial burden of
ineffective policies is unacceptable to our society. Secondly, the research
has a potential to enhance the policy to implementation process, which
may provide a platform for improving the sustainable resource use policy. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2004.
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Rangeland degradation assessment using remote sensing and vegetation species.Manssour, Khalid Manssour Yousif. January 2011 (has links)
The degradation of rangeland grass is currently one of the most serious environmental problems in South Africa. Increaser and decreaser grass species have been used as indicators to evaluate rangeland condition. Therefore, classifying these species and monitoring their relative abundance is an important step for sustainable rangelands management. Traditional methods (e.g. wheel point technique) have been used in classifying increaser and decreaser species over small geographic areas. These methods are regarded as being costly and time-consuming, because grasslands usually cover large expanses that are situated in isolated and inaccessible areas. In this regard, remote sensing techniques offer a practical and economical means for quantifying rangeland degradation over large areas. Remote sensing is capable of providing rapid, relatively inexpensive, and near-real-time data that could be used for classifying and monitoring species. This study advocates the development of techniques based on remote sensing to classify four dominant increaser species associated with rangeland degradation namely: Hyparrhenia hirta, Eragrostis curvula, Sporobolus africanus and Aristida diffusa in Okhombe communal rangeland, KwaZulu-Natal, South Africa. To our knowledge, no attempt has yet been made to discriminate and characterize the landscape using these species as indicators of the different levels of rangeland degradation using remote sensing. The first part of the thesis reviewed the problem of rangeland degradation in South Africa, the use of remote sensing (multispectral and hyperspectral) and their challenges and opportunities in mapping rangeland degradation using different indicators. The concept of decreaser and increaser species and how it can be used to map rangeland degradation was discussed. The second part of this study focused on exploring the relationship between vegetation species (increaser and decreaser species) and different levels of rangeland degradation. Results showed that, there is significant relationship between the abundance and distribution of different vegetation species and rangeland condition.
The third part of the study aimed to investigate the potential use of hyperspectral remote sensing in discriminating between four increaser species using the raw field spectroscopy data and discriminant analysis as a classifier. The results indicate that the spectroscopic approach used in this study has a strong potential to discriminate among increaser species. These positive results prompted the need to scale up the method to airborne remote sensing data characteristics for the purpose of possible mapping of rangeland species as indicators of degradation. We investigated whether canopy reflectance spectra resampled to AISA Eagle resolution and random forest as a classification algorithm could discriminate between four increaser species. Results showed that hyperspectral data assessed with the random forest algorithm has the potential to accurately discriminate species with best overall accuracy. Knowledge on reduced key wavelength regions and spectral band combinations for successful discrimination of increaser species was obtained. These wavelengths were evaluated using the new WorldView imagery containing unique and strategically positioned band settings. The study demonstrated the potential of WorldView-2 bands in classifying grass at species level with an overall accuracy of 82% which is only 5% less than an overall accuracy achieved by AISA Eagle hyperspectral data. Overall, the study has demonstrated the potential of remote sensing techniques to classify different increaser species representing levels of rangeland degradation. In this regard, we expect that the results of this study can be used to support up-to-date monitoring system for sustainable rangeland management. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2011.
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