Academic literature on the topic 'Natural resources – South Africa – Limpopo'

With ~70% of the sub-Saharan population living in rural areas, more than 90% of rural African households depend on natural forest products. Although several studies in other parts of South Africa have looked into the use of natural forest products in poverty alleviation, little is known on the roles and relative contribution of natural forest products as daily and safety nets specifically within the Vhembe Biosphere Reserve, South Africa. This study assessed the different roles played by natural forest products in households and the patterns of their relative contribution to households both as sources of income and direct consumption within differing household compositions as well as socio-economic factors. These included employment and income diversification role and the monetised value of natural resources in the rural livelihoods of households in Sambandou and Mavunde, Vhembe Biosphere Reserve, Limpopo Province, South Africa. The study inter alia compared a wide use of natural resources by two villages and determined on which forest products they most relied for their economic welfare. Their relative contributions to livelihoods were assessed by identifying factors that affected their contributions. Findings of the study showed that Sambandou had a high number of people with formal jobs and females, and fewer old-age pensioners. Differences in employment and education between villages were observed. In all villages, the most frequently used or harvested resource was fuelwood, wild edible fruits, herbs, grass/shrub hand sweepers, insects for food, thatch grass/reeds and poles for fencing and housing. Overall, Mavunde village households were found to be more dependent on natural resource harvesting both for income and subsistence substitution. Findings suggest that this may have been a consequence of socio-economic factors such as income and employment, as well as general underdevelopment in the village. This study’s findings could contribute to further studies into how these results compare to other parts of the country and region, as well as their respective developmental implications.

Women's limited access to resources and decision-making processes increases their vulnerability to impacts of climate change. Despite their own vulnerability, women are often responsible for caring for close relatives, extended families and friends during hazardous and traumatic events (whether its famine, floods, drought or forced displacements). Based on experience and knowledge it is believed that women are more vulnerable to the effects of climate change than men, primarily as they constitute the majority of the world's poor and are more dependent for their livelihood on natural resources that are threatened by climate change. The paper proposes a gender sensitive vulnerable assessment framework that is scaffolded by three key concepts: exposure, temporality and resource base. Because the study is grounded in the Capability Approach Framework it captures multi-dimensionality and intangible goods which are emotions such as fear, anger, shock or shame. It seeks to better understand the differentiated responses of men and women to climate variations and stress such as extreme heat, cold, droughts or floods in a specific site, Lambani, in the Limpopo Province of South Africa. The main aim is to understand different responses of men and women to climate change in order to design and populate a vulnerability assessment (VA) framework. In order to do so the Capability Approach (CA) is applied as a theoretical frame with its lens on diversity and social justice. The CA thus provides an expanded notion of human well-being that taps into the emotional life of women and men in Lambani.

Considering the well-documented impacts of land-use change on water resources and the rapid land-use conversions occurring throughout Africa, in this study, we conducted a spatiotemporal analysis of surface water quality and its relation with the land use and land cover (LULC) pattern in Mokopane, Limpopo province of South Africa. Various physico-chemical parameters were analyzed for surface water samples collected from five sampling locations from 2016 to 2020. Time-series analysis of key surface water quality parameters was performed to identify the essential hydrological processes governing water quality. The analyzed water quality data were also used to calculate the heavy metal pollution index (HPI), heavy metal evaluation index (HEI) and weighted water quality index (WQI). Also, the spatial trend of water quality is compared with LULC changes from 2015 to 2020. Results revealed that the concentration of most of the physico-chemical parameters in the water samples was beyond the World Health Organization (WHO) adopted permissible limit, except for a few parameters in some locations. Based on the calculated values of HPI and HEI, water quality samples were categorized as low to moderately polluted water bodies, whereas all water samples fell under the poor category (>100) and beyond based on the calculated WQI. Looking precisely at the water quality’s temporal trend, it is found that most of the sampling shows a deteriorating trend from 2016 to 2019. However, the year 2020 shows a slightly improving trend on water quality, which can be justified by lowering human activities during the lockdown period imposed by COVID-19. Land use has a significant relationship with surface water quality, and it was evident that built-up land had a more significant negative impact on water quality than the other land use classes. Both natural processes (rock weathering) and anthropogenic activities (wastewater discharge, industrial activities etc.) were found to be playing a vital role in water quality evolution. This study suggests that continuous assessment and monitoring of the spatial and temporal variability of water quality in Limpopo is important to control pollution and health safety in the future.

A rural, self-contained village in Africa relies mainly on draft animals, energy provided by humans and energy from natural resources, especially firewood, for survival. The human metabolic energy cycle in a rural self-sufficient village in Venda in the Limpopo Province of South Africa is investigated, concentrating on selected activities that make up the routine livelihoods in the wet season. The selected village depended on only a slight extent on external ‘modern’ energy inputs such as electricity, paraffin and diesel in relation to overall energy consumption. Forty-three interviews were conducted in order to identify patterns of labour, sources of food, and foods consumed, while electronic pedometers were employed to quantify energy expended for weeding, firewood and water collection carried out in the wet season in February. A conceptual energy model showing flows of energy from one activity to another within the village was developed. An energy balance model, for an average adult male and female village resident, was developed quantitatively from the conceptual model, taking into account energy intake and energy expenditure. Energy expenditure for males was 1 991 kcal/d; females were 1 965 kcal/d, energy intake for males was 1 953 kcal/d and females was 2 007 kcal/d .This study is significant for future development of rural dwellers. It provides a baseline case for future developments in which modern energy carriers are introduced into remote areas. These may include conventional energy such as electricity, or renewable energies such as low energy devices powered off solar photovoltaic panels or off grid solar/wind systems.

Abstract The present study assessed the use of a geothermal hot spring water flow as an adaptation practice to improve subsistence crop production. The aim of this study is to contribute towards natural resource use and management as an adaptation measure to the problem of rainfall scarcity in subsistence production. Focus group discussions with 45 subsistence farmers were conducted in a community garden in which subsistence crops are grown and maintained through a hot spring irrigation system. The study results show that the farmers are aware that rainfall in Sagole community is becoming scarce. The scarcity of rainfall is impacting negatively on subsistence crop production which is characterised by poor productivity. However, the farmers developed an irrigation system downstream of the geothermal hot spring in which the water is furrowed to the garden to irrigate vegetables and fruits throughout the year.

Since it was first adopted in the 1980s, the Community-based Natural Resource Management (CBNRM) approach has played a significant role in environmental management. This paper argues that for the CBNRM approach to be relevant, functional, and sustainable, it has to be based on existing local institutional (authority) structures, which may have to be adapted, and it may even require new institutions to be created to comply with the requirements of sustainable nature conservation. The main aim of this paper is to propose a CBNRM model based on existing local community (authority) structures and to investigate its usefulness in an African setting. The Langa Ndebele chiefdom in the Limpopo Province of South Africa serves as a case study because it displays all the features necessary to explore the possible application of the proposed CBNRM model. Data was gathered by means of field research which involved detailed interviews and discussions with functionaries of the relevant institutions at grassroots level. Specific recommendations relating to the use of the model are made.

Water is crucial for ecosystem health and socioeconomic development, but water scarcity is becoming a global concern. Management of transboundary watersheds is inherently challenging and has the potential to lead to conflict over the allocation of water resources. The metacoupling framework, which explores the relationships between coupled human and natural systems that are nested within multiple different scales, has been proposed to inform more holistic management of transboundary watersheds. This paper provides the first attempt to apply a metacoupling framework to a transboundary watershed for an improved integrated understanding of this complex system at multiple spatial scales. It does so with the transnational Limpopo River watershed in Southern Africa, which covers 1.3% of the continent and supports the livelihoods of 18.8 million people living in Botswana, Mozambique, South Africa, and Zimbabwe. Sub-Saharan Africa is experiencing a growing gap between water availability and demand; the primary drivers are population growth and agriculture expansion. The novelty of the paper is outlining the importance of applying a metacoupling framework to transboundary watersheds, identifying the limitations to this application, and providing a detailed assessment of the steps needed to complete this application. We also identify directions for future research including application of a metacoupling framework to other transboundary watersheds and exploration of spillover effects and externalities within this and other transboundary watersheds.

Macro- and micro-structural constraints, including those linked to and exacerbated by historical, natural and financial factors are some of the many stressors facing small-scale farmers in Limpopo Province. The challenge is to co-design ways to effectively manage these constraints with development actions. Small scale farmers in South Africa are still facing major challenges in the agricultural sector. In this paper some of the challenges faced by small-scale farmers in the Limpopo Province have been identified. Some of the challenges found during the formal surveys and focus group meetings in the Tshakhuma, Rabali and Tshiombo areas were those linked to financial, assets, land ownership and biophysical factors. Specific constraints included: (a) Market information and market access; (b) Price of inputs, for example fertilizer and herbicides; (c) Availability of inputs; (d) Irrigation; (e) Cost of transport, and Natural constraint.

Rising demand for medicinal plants has led to increased pressure on wild plant populations. This, combined with shrinking habitats, means that many species in South Africa are now facing local extinction. In 1997, a study was initiated to determine the extent of trade in medicinal plants in the South African Lowveld (the low lying plains to the east of the Drakensberg escarpment), and to investigate socio-economic factors influencing trade and resource management. Trade was not as extensive in the Lowveld as in major urban markets such as Durban or the Witwatersrand (Johannesburg and surrounding towns), either in terms of the quantity, number or range of species sold, or the numbers of people relying on the trade for an income. In markets assessed in Mpumalanga Province, 176 species were identified (71% of the vernacular names encountered in the market place), representing 69 plant families. In Limpopo, 70 different species were identified (84% of the vernacular names encountered in the market place), representing 40 families. Imports were significant in Mpumalanga (33% of the plants on offer), mainly from Mozambique. A detrended correspondence analysis showed substantial differences between species traded in Mpumalanga and those sold in Limpopo. There was little variation in the species stocked by vendors in Mpumalanga, regardless of the season, the attributes of the seller, or whether business was carried out in urban or rural areas. In contrast, there was considerable variation in the stock inventories of the Limpopo traders. Despite the lower levels of local trade, increased harvesting pressure is being experienced regionally, to meet demand in metropolitan centres such as the Witwatersrand. This study showed considerable local variation and complexities in the harvesting and marketing of medicinal plants, with both a national and an international dimension. This dual spatial scale presents both opportunities and challenges in the management of these plants, which need to be addressed simultaneously, particularly with respect to research requirements and development of predictive models and capacity. Cooperation in conservation strategies and policies is required at regional, national and international levels, while ensuring that management initiatives take into account local market conditions and the socio-economic realities facing both consumers and those who depend on the trade for their livelihoods.

Abstract. In contemporary literature there have been growing concerns regarding preservations of natural ecosystems. Given the global growth in awareness of global warming, the need for natural fire prediction models has grown rapidly. Using South Africa as a case study, we evaluate the potential of integrating several natural fire prediction models and geographical information system (GIS) platforms. Initially, natural fire prone regions in South Africa were spatially demarcated basing on municipal historical data records. Thereafter, the natural fire prediction models were applied/tested in parallel to identify the best prediction models that give optimum results in predicting natural fires. The models were assessed for accuracy using historical data. Preliminary results reveal locations in the North West, Mpumalanga and Limpopo province had the highest recorded potential for natural fires. In conclusion, the work demonstrates huge potential of prediction models in informing the likelihood of natural fire outbreaks. Lastly, the work recommends the adoption of natural fire prediction models and the subsequent formulation and use of relevant future natural fire mitigation policies and techniques to avert disasters in time.