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Collaborative conservation governance in multifunctional landscapes: a contextual analysis of two South African Biosphere Reserves in the Boland
Get PDFThe Man and the Biosphere Programme (MAB) has been earmarked as one of the most promising ways of tackling the grand challenges of our time and achieving the Sustainable Development Goals. Furthermore, it may have the potential to make positive contributions to one of the most troubling conservation challenges of our time – winning spaces for large carnivores in human-dominated landscapes. This study aims to assess the interpretation and implementation of MAB in two South African Biosphere Reserves (BRs) and explore how BRs as landscape level collaborative initiatives can support Cape leopard conservation in the Boland region of the Western Cape, South Africa. This study is informed by two objectives. First, to understand how the chosen governance strategy and structure of two South African BRs have helped to achieve a context appropriate interpretation and actioning of MAB in the landscape. Second, to understand how landscape-level collaborative conservation initiatives support leopard conservation across a multifunctional landscape. This study takes on a mixed methods approach in which qualitative data takes priority and quantitative data is used for support in an embedded multiple-case study design. The sampling techniques used include purposive sampling of strategically targeted participants, i.e. those governing BRs and those leading the collaborative initiative and snowballing thereon. Data collection included a combination of semi-structure interviews (n=20) (the principal collection method), a review of archival, policy and other documents (n=15), and supported by a mixed methods survey questionnaire (n=5). Data were analysed through thematic and content analysis. Findings suggest that organisations working at a landscape-level utilise forms of adaptive co-management and/or governance as a means to being both adaptive and collaborative. Important themes which emerge include cross-sectoral approaches, networks, leadership and trust for building partnerships, shared visions and ‘filling gaps’ left by, or collaborating with the state to fulfil mutually beneficial objectives. This research provides empirical studies on MAB, important for sharing knowledge across the World Network of BRs, meeting the need for further research on collaborative initiatives in social-ecological systems and conservation programmes for large free-roaming carnivores in multifunctional landscapes.Thesis (MSc) -- Faculty of Science, School of Environmental Sciences, 202
Development of density-dependent and density-independent competition models to understand single tree growth responses in eucalyptus stands
Get PDFIn commercial forest production, predicted yields based on mensuration recommendations are seldom realized, and minimal silvicultural standards based on results from trial blocks do not account for the relationship between initial planting density and final stocking. Growth models designed to investigate management options must employ competition indices to provide reliable predictions under extreme silviculture. The competition a tree experiences until the day of harvest is a strong driver for quality and volume of timber. Hence, this turns the regulation of competition into an integral part of silviculture. According to Little et al. (2003), it is known that, at some stage after canopy closure, individual trees in a stand will begin to compete for resources. To investigate competition amongst individual trees, a re-purposed Bayesian mixed effects model, similar in characteristics to a Sire model used for estimating breeding values, is proposed. In animal breeding models, the Sire Model allows for the inclusion of a numerator relationship matrix containing inbreeding coefficients. In a similar way, documented competition indices are included in the model in an attempt to estimate posterior probabilities of specifically selected individual trees being the strongest growers during different stages in the tree growth cycle. Estimated tree growth indices were determined and used to make probability statements in order to rank the individually selected trees based on the amount of growth observed. A tree growth index is a measurement of a tree’s average growth performance in relation to the average growth performance of all trees on the same plot. As different competition indices are introduced into the model, changes in the probabilities are observed and compared to what is visually observed on the plot, i.e. if the tree with the highest probability of being the strongest grower, is actually not necessarily the largest tree of the group of selected trees, but rather the tree that presented the largest amount of growth of the selected group of trees during that specific growth season. From a randomly selected plot, a group of neighboring trees were randomly selected. Four specifically selected target trees were then identified from this group of 25 selected trees, and analyzed. For this discussion, for example, from our randomly selected group of 25 neighboring trees, tree 54, tree 56, tree 86, and tree 88 were specifically selected for further analysis. For these specifically selected trees, marginal posterior densities for the variance components and random effects were then estimated using the Gibbs Sampler, where competition between the trees was assumed present, as well as for the case where it was assumed that no competition takes place between the individually selected trees. In the latter case, an identity matrix was utilized in the Gibbs sampling algorithm where it was assumed that there is no competition between the trees. Both a distance independent competition index (Lorimer,1983), and a distance dependent index (Hegyi, 1974), were used to generate the numerator relationship matrix A that was used by the Gibbs sampling algorithm in the case where competition was assumed between individual trees. Also a new distance dependent index was proposed and tested in this study as well. Results from the selected plot, with a 1500 stems per hectare (sph) density, indicated that there were no significant differences in the average growth between these selected trees. However, the marginal posterior densities of the fixed effects indicated that there was a significant difference in the average growth rates between the base level conditions and other levels determined for each of these fixed effect factors for the selected trees, since their 95% equal tails credibility intervals, did not contain zero. This therefore indicated that the specific treatment applied on the plot, had a significant effect on the individual tree growth. Results when competition was assumed present, revealed that the estimated marginal posterior densities for the error variance as well as tree variance, were severely positively skewed.Thesis (PhD) -- Faculty of Science, School of Natural Resource Science & Management, 202
Comparative study of the effect of iloprost on neuroinflammatory changes in c8-b4 microglial cells and murine model of trypanosomiasis
Get PDFNeurodegenerative conditions significantly impact well-being and quality of life in individuals with major symptoms including mood disorders, cognitive decline, and psychiatric disturbances, often resulting from neuroinflammation triggered by immune responses to bacterial or parasitic infections such as gram-negative bacteria or Human African Trypanosomiasis. Microglia play a crucial role in both neurotoxicity and cellular processes involved in restoring the neural health. Exploring the therapeutic potential of prostacyclin and its analogues in regulating microglia responses to inflammatory insult and treating Trypanosoma brucei (T.b) infection remains an unexplored area. The aim of this study was to assess the potential neuroprotective effects of Iloprost through comparative analysis of neuroinflammatory responses in both microglial cells exposed to lipopolysaccharide (LPS) and mouse brains infected with T.b brucei. In phase I of this study both resting and LPS treated C8-B4 microglial cells were exposed to varying concentrations of Iloprost. The effects of Iloprost on LPS-induced inflammation were analysed using immunofluorescence to detect microglial activation and differentiate between pro and anti-inflammatory phenotypes. Furthermore, pro and anti-inflammatory cytokine secretion was determined using an ELISA, in addition gene expression analysis was carried out using quantitative polymerase chain reaction (qPCR). Also, DNA methylation status of C8-B4 cells exposed to LPS challenge alone or in combination with various concentrations of Iloprost were determined using bisulfite sequencing technique followed by qPCR. In phase II of the study, a total of twenty-four Albino Swiss male mice (8-10 weeks old) were divided into four treatment groups with 6 mice in each group. All treatment groups except the non-infected control were inoculated with the T.b brucei parasite. One group received a single intraperitoneal injection of Diminazene aceturate (4 mg kg-1)while the remaining group received repeated intraperitoneal injections of Iloprost (200 μg kg-1). On day ten of the study, mouse brains were removed on ice using forceps. The hippocampal tissues were dissected out and processed for quantification of gene expression changes in pro and anti-inflammatory cytokines. Overall, the findings of this study indicate that LPS-induced pro-inflammatory cytokine, TNF-α and IL-1β, secretion and gene expression is down-regulated in C8-B4 microglial cells treated with Iloprost. Furthermore, there was a significant up-regulation in the expression of anti-inflammatory genes, particularly ARG-1, CD206, BDNF and CREB in response to Iloprost treatment following LPS-induced inflammation. This study is also the first to confirm M2 microglial polarization with Iloprost treatment in both resting and LPS treated cells. However, hypermethylation at CREB and BDNF promoter regions was observed 24 hours after Iloprost treatment. Additionally, Iloprost reversed hypomethylation at the BDNF promoter region that had been induced by LPS treatment. The rodent model also indicated a downregulation in the pro-inflammatory cytokine, IL-1β, expression and upregulation of BDNF transcription in T.b brucei infected mice treated with repeated doses of Iloprost. In conclusion, determining the immunomodulatory roles of Iloprost in both in vitro and in vivo models of neuroinflammation could assist in the development of alternative therapy for neurodegenerative disease.Thesis (MSc) -- Faculty of Science, School of Biomolecular & Chemical Sciences, 202
Investigation of potential in-situ polymerization reactions for use in lithium-ion batteries
Get PDFWith the rise in popularity of electric vehicles and portable electronic devices, having a reliable, lightweight, and long-lasting battery is crucial. This has led to the mass commercialisation of lithium-ion batteries (LIB’s) because they offer several advantages over other battery technologies. Over the years, one of the concerns was with the ease with which the batteries can burn or explode when subjected to certain extreme conditions. In order to build trust in these products and to expand the technology into more diverse applications, safety aspects of the batteries has become of widespread concern resulting in a key area of research. One aspect of improving the safety is by reducing the flammability of the battery by the addition of certain chemicals that stop or suppress the thermal runaway effect. However, this in-turn reduces the battery’s capacity and life-cycle performance. Researchers have used the idea of encapsulating these chemicals thereby physically separating them within the lithium-ion battery (LIB) electrolyte system with a minimum effect on performance. This research aims to explore use of R-diols and R-amines as additives that upon a thermal trigger would react with the lithium-ion battery electrolyte to stop the effect of the thermal runaway by forming carbamate derivatives which are gel-like or form solid aggregates. The R-diols or R-amines can react with electrolyte at higher temperatures with the lithium-hexafluorophosphate acting as a catalyst. This change in the physical state of the electrolyte increases the resistance inside the battery which then hinders ion movement and forms a physical barrier to reduce the effect of short circuiting when the separator or other components are damaged due to higher temperatures.Thesis (MSc) -- Faculty of Science, School of Biomolecular & Chemical Sciences, 202
Low-income area electrification systems
Get PDFThis research investigated electrification systems for low-income, informal settlement areas via grid extension, photovoltaic mini-grids and solar home system (SHS). Six electrification systems were analysed; four mini-grid systems, a 100 W solar home system and a grid extension. All have different maximum power capacities and differ in the way they contribute to sustainable development. Affordability for the consumer of the total energy required (electrical and other sources) is a key factor for the sustainability of any electrification system. Two battery technologies, lithium-ion and lead acid batteries were compared for each system based on technical and economic performance. The study determined that despite the intial very high cost, lithium-ion batteries can achieve a lower levelized cost of electricity (LCOE) due to their long life span. It was found that the batteries cost between 58% and 95% of the project’s capital cost. The battery cost occurs not only in the capital cost, but in the replacement cost. This cost is so high, that it makes all the solar systems uneconomic. This research found that extending the national power grid is still much more economically viable than all other PV electrification systems, but it requires land tenure. The issue of land tenure could be solved by making some agreement with the land owner for rental. It was found that the PV systems could only be economic if they increased the income of the communities substantially.Thesis (MEg) -- Faculty of Engineering, the Built Environment, and Technology, School of Engineering, 202
Investigating the implementation of teaching strategies used by foundation phase teachers in multilingual classrooms
Get PDFIn South Africa, there are eleven official languages: English and Afrikaans and nine indigenous languages. However, the dominant language of learning and teaching in multilingual classrooms is English. Teachers are not all equipped to cater for a multilingual classroom that is conducive to learning. Hence, it is important that teaching strategies teachers used need to support learners’ access to knowledge and their language proficiency through the learning process. This qualitative case study aimed at investigating the teaching strategies used by Foundation Phase teachers in multilingual classrooms. The study was guided by an interpretivist paradigm which was helpful in providing in-depth knowledge on multilingual Foundation Phase classrooms and the teaching strategies that teachers implement. The study used a purposive sampling strategy with 4 Foundation phase teachers teaching Grades R-4. Drawing upon classroom observations and semi-structured individual interviews as the primary methods of data collection, the study explored the teaching strategies teachers use in multilingual foundation phase classrooms. A thematic data analysis was employed. Findings revealed a need for inclusive practices in FP multilingual classrooms, need to support learning using various teaching strategies, need to recognize realities in multilingual classrooms and a role that stakeholders can play in learning. Recommendations are provided for SGB’s, Curriculum designers, FP teachers and parents.Thesis (MEd) -- Faculty of Education, School of Primary School Education, 202
Studies on soil acidity management strategies for sustainable agriculture
Get PDFSoil acidity is a widespread problem which reduces plant growth and yield. There are calls for alternative crop and soil management strategies that can be used by farmers to deal with soil acidification in a sustainable manner. Current literature suggests that the benefits of sustainable soil management systems on soil acidity are highly variable, and within the context of conservation agriculture (CA), farmers need recommendations for techniques to improve liming efficiency. Such techniques include acid resistant cultivars and soil amendments such as biochar. However, dedicated scientific research is still needed to increase our understanding of the benefits of integrating various sustainable agriculture approaches on reducing the acidity on cropped lands. A series of experiments were thus conducted to test whether the integration of reduced lime dosages with organic amendments such as biochar, along with acid resistant wheat cultivars could improve nutrient availability and reduce the harms of acidity on plant roots. It was hypothesised that if lower than recommended doses of lime are applied in combination with biochar and acid resistant cultivars, there will be significant improvement of nutrient availability, soil acidity amelioration benefits and crop growth. The first experiment was a 60–day incubation trial to examine the interaction effects of reduced lime application rates and black wattle (Acacia mearnsii) biochar on the acidity and plant nutrient availability of a sandy clay loam, acidic podzolic soil. The changes in pH water (pHw) across treatments were monitored at 10-day intervals over the incubation period. Additionally, the initial and final status of each treatment in terms of essential macro-and micronutrients, pH(KCl), extractable aluminium (ext Al), exchangeable acidity (EA) and acid saturation (AS) were also measured. The second experiment examined the genotype × biochar × lime interaction effects on wheat plant root growth in the acid soil. Soil incubation results showed that the interaction effect of lime rate and biochar was not significant (p>0.05) for any of the tested soil nutrient availability and soil acidity parameters, except for pHw. However, lime rate effects were significant (p0.05). However, the biochar significantly reduced the availability of Ca and Mn but did not have a significant effecton all the other nutrients at the tested application rates. Unenriched biochar at 10 t ha-1 had an acidifying effect on the soil as it increased EA, when compared to enriched biochar. The significant (p 0.05). Koonap, the acid tolerant wheat variety outperformed the sensitive variety, Gariep under all treatments in the acid soil, as expected. There was, however, a significant (p<0.05) lime rate × biochar interaction. The highest application rates of lime (5 t ha-1) and biochar (10 t ha-1) were the best combination for root length for both the varieties. Overall, these results suggested a possible buffering effect of biochar at low lime application rates, thus limited benefits of combining reduced lime doses with biochar on reducing soil acidity or enhancing nutrient availability. The null hypothesis was thus rejected, and it was concluded that co-application of reduced lime rates and biochar will not significantly enhance benefits of liming. However, a positive interaction from co-application of biochar and lime on both pH and plant growth is possible at high application rates of both biochar and lime.Thesis (MSc) -- Faculty of Science, School of Natural Resource Science and Management, 202
Associations between patterns of wild ungulate patch use, soil carbon and albedo in montane grasslands
Get PDFGrassy ecosystems are essential for human survival, providing key services including food production, water provisioning and moderating climate. Yet, grassy ecosystems remain undervalued due to misconceptions that they are remnants of degraded states of forest – a view that continues to influence climate change policies. This thesis explores the links between wild, free-roaming ungulate grazers and climate drivers, including carbon storage and surface albedo (i.e., reflectance of solar radiation), through their impacts on vegetation and soils. Using black wildebeest (Connochaetes gnou) as a model wild species, I compared their grazing patterns in an Afromontane grassland in the eastern Karoo, South Africa, to those of short-duration cattle grazing systems in similar nearby grasslands (Chapter 2). While short-duration grazing aims to mimic spatiotemporal wild ungulate grazing patterns to supposedly enhance ecosystem functioning and soil carbon stocks, I found that wildebeest had ~50% shorter grazing durations and much shorter rest intervals (1-5 days versus 60-365 days), revealing key differences in grazing patterns that may affect vegetation and climate feedbacks. Next, I examined spatial variations in soil organic carbon (SOC) stocks between grass growth forms that differ in grazing tolerance (Chapter 3). Red grass (Themeda triandra) tussock patches, sensitive to frequent grazing, had higher SOC to a soil depth of 20 cm (61.45 ± 1.59 Mg C·ha-1)than intensively grazed, prostrate-growing Cynodon dactylon grazing lawns (55.43 ± 3.40Mg C·ha-1), likely due to greater shading and soil moisture beneath tussocks which drives microbial decomposition. Seasonal albedo variations were then assessed across distinct grassland patch types among seasons to determine whether albedo varies seasonally at fine patch-scales between grass patches, between shrub and grass patches, and with grazing (Chapter 4). Albedo was lower during the growing season compared to dormancy, and was consistently lower in dwarf shrub (Pentzia incana) encroached patches compared to grass patches. No albedo differences between grazed and less-grazed tussock grass patches of the same species were found, although intensively grazed grazing lawns had consistently higher albedo than most patch types. Finally, I evaluated trade-offs between plant carbon, albedo, and their impacts on radiative forcing (i.e., atmospheric warming/cooling) resulting from patch type changes commonly found in grassy ecosystems (Chapter 5). The loss of perennial grass cover resulted in the highest net positive (warming) effect, mostly due to reduced root biomass. Additionally, shrub encroachment into all patches lowered albedo, but led to negative (cooling) effects from shrub encroachment into bare ground patches due to biomass gains. This thesis challenges current views of grassy landscapes and short-duration grazing systems, emphasizing the need to rethink climate change mitigation strategies to prioritize maintaining heterogeneity, while enhancing carbon sequestration and albedo in grassy ecosystems.Thesis (PhD) -- Faculty of Science, School of Environmental Sciences, 202
Social dynamics of spotted hyaenas (Crocuta crocuta) in fenced protected areas: Implications for conservation management of a socially intelligent species
Get PDFIt is important to understand the impact of fenced protected area management on the behaviour and fitness of less popular species, such as the spotted hyeana (Crocuta crocuta), that have been historically overlooked in species management across protected areas. As a result of this oversight, hyaena population densities have reached high levels, making it critical to study the effects of fenced protected area management on these species. There is a lack of understanding of how species adapt to the potentially high-pressure systems (through the restriction of resources spatially) created by fenced protected areas and the intrinsic effects that management regimes may have on wildlife. Due to the spotted hyaena’s high behavioural plasticity, they make excellent candidates to explore the effects of management regimes in fenced protected areas while enhancing our understanding of spotted hyaena ecology. Therefore, the aim of this study was to explore the ecology and social behaviour of high density spotted hyaena populations in fenced protected areas to understand the effects of different management regimes and how spotted hyaenas respond to these differing pressures. This was achieved through four main objectives which consider different aspects of spotted hyaena ecology and the influence of management regimes and environmental variables in two fenced protected areas in South Africa; Madikwe Game Reserve (a socio-economically incentivised reserve) and Addo Elephant National Park (a reserve incentivised by the promotion of biodiversity), between 2021 and 2023. This study explored 1) range residency patterns and third order habitat selection in spotted hyaena movement, 2) interspecific interactions at shared food sources to understand the role of lion, Panthera leo, and spotted hyaenas dynamics in top-down pressure in carnivore structure, 3) territorial interactions when defending resources to understand spotted hyaena social dominance when occurring at high densities, 4) welfare considerations and allostatic load of spotted hyaenas, and additionally we provided insight into the social hierarchy disruptions which occur when removing the matriarch from a clan through an opportunistic record. By assessing the effects of socio-economic or biodiversity driven management regimes, this study provided novel accounts of social behaviour and responses of spotted hyaenas to pressures in fenced protected areas, highlighting the top-down pressure that lions have on multiple aspects of spotted hyaena functioning. Road networks and infrastructure in fenced protected areas were generally utilised by spotted hyaenas and despite high abundance, prey availability remained an important aspect of spotted hyaena ecology regardless of management regimes. Further, we showed that when food is abundant, spotted hyaenas are tolerant of subordinate carnivores, which emphasises their dynamic behavioural plasticity. We showed that spotted hyaenas gauge territorial responses according to the perceived threat and are less tolerant to familiar intruders than to unfamiliar individuals, which is an important inbreeding avoidance tactic that remains in place in fenced protected areas. And lastly, we showed that management regimes influence the adrenal function of spotted hyaenas, where fenced protected areas incentivised by wildlife photographic tourism may negatively affect species fitness through elevated epidandrosterone levels over time. However, spotted hyaenas appear to have adapted to elevated hormone levels, thus not affecting fecundity in fenced protected areas, resulting in high density populations. This study provides a holistic overview of the effects of management regimes on spotted hyaenas in fenced protected areas and provides insights into how spotted hyaenas adapt to pressures when occurring at high densities in these areas. This study contributes to the understanding of spotted hyaena ecology and the intrinsic effects on wildlife of different approaches to management regimes in fenced protected areas.Thesis (PhD) -- Faculty of Science, School of Environmental Sciences, 202
Solution of some cross-diffusion equations in biosciences using finite difference methods and artificial neural networks
Get PDFIn this dissertation, three cross-diffusion models which require positivity-preserving solutions are solved using standard and nonstandard finite difference methods and physics-informed neural networks. The three models are a basic reaction-diffusion-chemotaxis model, a convective predator-prey pursuit and evasion model, and a two-dimensional Keller-Segel chemotaxis model. All three models involve systems of nonlinear coupled partial differential equations subject to some specified initial and boundary conditions for which no exact solution is known. It is not possible to obtain the stability region of the standard finite difference methods for the three models theoretically and therefore a range of values of temporal step size at a given spatial step size for reasonable solutions is obtained by running some numerical experiments. It is observed that the standard finite difference schemes are not always positivity-preserving, and this is why nonstandard finite difference schemes are necessary. Chapter 1 provides some background detail on partial differential equations, cross-diffusion equations, finite difference methods, and artificial neural networks. In Chapter 2, the cross-diffusion models considered in this dissertation are provided, namely a basic reaction-diffusion–chemotaxis model for two cases, a convective predator-prey pursuit and evasion model, and a two-dimensional Keller-Segel chemotaxis model for two cases. In Chapter 3, the basic reaction-diffusion–chemotaxis model is solved for the two cases using some standard and nonstandard finite difference schemes. It is determined that the standard methods give reasonable positivity-preserving numerical solutions if the temporal step size, , is chosen such that ≤ 0.25 with the spatial step size, ℎ, fixed at ℎ = 1.0. Two nonstandard finite difference methods abbreviated as NSFD1 and NSFD2 are considered from Chapwanya et al. (2014). It is shown that NSFD1 preserves the positivity of the continuous model if the following criteria are satisfied: ()[(ℎ)]2=12≤12+ and ≤. NSFD1 is modified to obtain NSFD2, which is positivity-preserving if =()[(ℎ)]2=12 and 2≤1, that is, ≤. In this work, it is shown that NSFD2 does not always achieve consistency, and it is proven that consistency can be achieved if →0 and ℎ2→0. Lastly, it is demonstrated that the numerical rate of convergence in time of the finite difference methods is approximately one for case 2 of the chemotaxis model. In Chapter 4, one standard and two nonstandard finite difference methods are constructed to solve the convective predator-prey model. Through some numerical experiments, it is observed that reasonableThesis (MSc) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 202