Language rights, intercultural communication and the law in South Africa

This article seeks to explore the present language scenario in courts of law. The article makes use of section 6 of the Constitution of the Republic of South Africa (1996), as a point of departure. At face value this section seems to entrench the language rights of individuals. This would mean that individuals could request trials to be held in their mother tongues, with fluent and competent speakers of that mother tongue sitting on the bench. However, this has not materialised. Contrary to popular opinion, the article argues that individual language rights are to some extent entrenched in the Constitution, but there are no mechanisms to secure such rights in the public domain. The article argues that it is often only language privileges that are preserved in institutions such as the justice system. Legally speaking, there is an obligation on the State to provide interpreters to facilitate access to all eleven official languages in courts of law. This in itself presents numerous challenges. The article argues further that the corollary to this is that there is very little space for intercultural communication in courts of law (as defined by Ting-Toomey, 1999, and Gibson, 2002). There has been little or no capacity building in this regard. It is English, to some extent Afrikaans, and the western cultural paradigm, which prevails. The result is further communication breakdown and language intolerance. In this article, the notion of language rights in courts of law is explored against the backdrop of existing theories of intercultural communication

Spectral variability within species and its effects on savanna tree species discrimination

Differences in within-species phenology and structure driven by factors including topography, edaphic properties, and climatic variables present important challenges for species differentiation with remote sensing in the Kruger National Park, South Africa. The objective of this study was to examine probable factors including intraspecies spectral variability and the spectral sample size that could affect remote sensing of Savanna tree species across a land-use gradient in the Kruger National park. Eighteen species were examined: Acacia gerradii, Acacia nigrescens, Combretum apiculatum, Combretum collinum, Combretum hereroense, Combretum imberbe, Combretum zeyheri, Dichrostachys cinerea, Euclea sp (E. divinurum and E. natalensis, Gymnosporia sp (G. buxifolia and G. senegalensis), Lonchocarpus capassa, Peltoforum africanum, Piliostigma thonningii, Pterocarpus rotundifolia, Sclerocarya birrea, Strychnos sp (S. madagascariensis, S. usambarensis), Terminalia sericea and Ziziphus mucronata. Discriminating species using the K-nearest neighbour (K = 1) classifier with spectral angle mapper (SAM) yielded a higher classification accuracy (48% overall accuracy) compared to 16% for the classification involving the mean spectra for each species as the training spectral set. Within-species spectral variability and the training sample size were identified as important factors affecting classification accuracy of the tree species. We recommend a non-parametric classifier such as K-nearest neighbour classifier for classifying and mapping tree species in a highly complex environment such as the savanna system of the Kruger National Park. ©2009 IEEE

Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa

The ability of various ecosystems to perform vital functions such as biodiversity production, and water, energy and nutrient cycling depends on the ecosystem state, i.e. health. Ecosystem state assessment has been a topic of intense research, but has reached a point at which accurate large scale (e.g. regional to global scale) modelling and monitoring are hindered by limitations in conventional assessment methods such as direct field sampling, modelling from environmental drivers such as temperature, precipitation and available nutrients, and modelling from remote sensing data. The Ecosystem-Earth Observation (Eco-EO) research group at the Council for Scientific and Industrial Research (CSIR), South Africa has highlighted the need in remote sensing research for an integrated sensing approach at the systems level. This perspective is based on the assumption that a modelling approach that exploits the strength of the various techniques (in situ environmental variables, direct field observation and remote sensing data) could potentially improve the assessment of ecosystem state at various geographic scales. In this light, the Eco-EO research group has embarked on an agro-system state assessment project since 2007 as a first step towards the implementation of the integrated modelling approach for various ecosystems. The agro-system consists of a monoculture forest plantation of Eucalyptus grandis situated in KwaZulu-Natal, South Africa. This paper presents preliminary results from the KwaZulu-Natal E. grandis experimental study. ©2009 IEEE

A human resources development profile of the eastern Cape

Synthesis report prepared for the Eastern Cape Socio-Economic Consultative Council (ECSECC), JanuaryThis report provides a profile of human resources development (HRD) in the eastern Cape. What is presented is a foundation document upon which the government of the eastern Cape, in consultation with key stakeholders in the region, can build a provincial HRD strategy