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1

Nel, Verna. "Spluma, Zoning and Effective Land Use Management in South Africa." Urban Forum 27, no. 1 (October 22, 2015): 79–92. http://dx.doi.org/10.1007/s12132-015-9265-5.

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2

Muttoo, Sheena, Lisa Ramsay, Bert Brunekreef, Rob Beelen, Kees Meliefste, and Rajen N. Naidoo. "Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa." Science of The Total Environment 610-611 (January 2018): 1439–47. http://dx.doi.org/10.1016/j.scitotenv.2017.07.278.

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3

Weiner, Dan, Sam Moyo, Barry Munslow, and Phil O'Keefe. "Land Use and Agricultural Productivity in Zimbabwe." Journal of Modern African Studies 23, no. 2 (June 1985): 251–85. http://dx.doi.org/10.1017/s0022278x00000173.

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Given a continuation of current trends, with increasing population growth and declining food production, Southern Africa (excluding South Africa) which could nearly feed itself during 1979–81, will be only 64 per cent self-sufficient by the turn of the century. Zimbabwe has a particularly important rôle to play in trying to prevent such a disaster. It is by far the most important exporter of food and cash crops in the region, and has been allocated the task of co-ordinating a food-security strategy for the nine member-states of the Southern African Development Co-ordination Conference, namely Angola, Botswana, Lesotho, Malawi, Mozambique, Swaziland, Tanzania, Zambia, and Zimbabwe.
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4

Russell, Jennifer M., and David Ward. "Historical Land‐use and Vegetation Change in Northern Kwazulu‐Natal, South Africa." Land Degradation & Development 27, no. 7 (February 4, 2016): 1691–99. http://dx.doi.org/10.1002/ldr.2476.

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5

Hudson, Adrian, and Henk Bouwman. "Different land-use types affect bird communities in the Kalahari, South Africa." African Journal of Ecology 45, no. 3 (September 2007): 423–30. http://dx.doi.org/10.1111/j.1365-2028.2006.00750.x.

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6

Kerley, Graham I. H., André F. Boshoff, and Michael H. Knight. "Ecosystem Integrity and Sustainable Land‐Use in the Thicket Biome, South Africa." Ecosystem Health 5, no. 2 (June 1999): 104–9. http://dx.doi.org/10.1046/j.1526-0992.1999.09915.x.

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7

Le Roux, A., and P. W. M. Augustijn. "Quantifying the spatial implications of future land use policies in South Africa." South African Geographical Journal 99, no. 1 (December 18, 2015): 29–51. http://dx.doi.org/10.1080/03736245.2015.1117014.

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8

Hoffman, M. Timm. "Changing Patterns of Rural Land Use and Land Cover in South Africa and their Implications for Land Reform." Journal of Southern African Studies 40, no. 4 (July 4, 2014): 707–25. http://dx.doi.org/10.1080/03057070.2014.943525.

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9

Feinberg, H. M. "South Africa and Land Ownership: What's in a Deed?" History in Africa 22 (January 1995): 439–43. http://dx.doi.org/10.2307/3171925.

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The subject of African land ownership is and will continue to be a highly emotional issue of great importance in the new South Africa. Africans and Afrikaners alike have strong historical ties to the land. Thousands of Africans owned land outside the Reserves before 1948. These landowners included large numbers of Africans who purchased over 3,000 farms and lots between 1913 and 1936 in the Transvaal, Natal, and even the Orange Free State (plus uncounted African buyers in the Cape Province). Individuals, tribal groups, or people organized into partnerships owned land. In the 1990s Africans complain bitterly about land losses, especially after 1948 as a result of the apartheid policy of forced removals which aimed to eliminate the so-called “black spots” from white areas. In addition, some Africans point to the problem of land losses between 1913 and 1948, and others resent the severe restrictions resulting from the Natives Land Act, Act No. 27 of 1913, which prevented Africans from freely buying land in three of the four provinces of South Africa after 1913.On 8 November 1994 the South African Parliament passed the Restitution of Land Rights Act, a law which is intended to allow Africans to reclaim their lost land. Claims by former owners or their descendants will be buttressed by legal documents of one type or another. Some of these legal documents have an interesting and unintended use, however: historians can take advantage of them to build an understanding of African land ownership before and after apartheid began in 1948.
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10

Netshipale, Avhafunani J., Simon J. Oosting, Edzisani N. Raidimi, Majela L. Mashiloane, and Imke J. M. de Boer. "Land reform in South Africa: Beneficiary participation and impact on land use in the Waterberg District." NJAS - Wageningen Journal of Life Sciences 83 (December 2017): 57–66. http://dx.doi.org/10.1016/j.njas.2017.07.003.

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11

Berry, Sara. "Struggles over Land and Authority in Africa." African Studies Review 60, no. 3 (October 4, 2017): 105–25. http://dx.doi.org/10.1017/asr.2017.96.

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Abstract:This article reviews major changes in policies and practices of land allocation and use in sub-Saharan Africa since ca 1990, using two comparative case studies to illustrate their implications for relations between local and national authority. One case contrasts Ghana, where intense local conflicts over land and authority did not translate into political conflict at the national level, with Côte d’Ivoire, where they did. The other compares political strategies and the influence of traditional chiefs in Ghana and South Africa.
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12

Malherbe, Hanlie, Michael Gebel, Stephan Pauleit, and Carsten Lorz. "Land Use Pollution Potential of Water Sources Along the Southern Coast of South Africa." Change and Adaptation in Socio-Ecological Systems 4, no. 1 (September 1, 2018): 7–20. http://dx.doi.org/10.1515/cass-2018-0002.

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AbstractSince the 1990’s, the groundwater quality along the southern coast of the Western Cape Province of South Africa has been affected by increasing land use activities. Groundwater resources have become increasingly important in terms of providing good quality water. Polluted coastal groundwater as a source of submarine groundwater discharge also affects the quality of coastal water. For this study, land use activities causing groundwater pollution and areas at particular risk were identified. An assessment approach linking land use/land cover, groundwater and submarine groundwater discharge on a meso-scale was developed and the methods applied to two study regions along the southern coastal area. Dryland and irrigated crop cultivation, and urbanized areas are subject to a “high” and “very high” risk of groundwater nitrogen pollution. Application of fertilizer must be revised to ensure minimal effects on groundwater. Practice of agricultural activities at locations which are not suited to the environment’s physical conditions must be reconsidered. Informal urban development may contribute to groundwater nitrogen pollution due to poor waste water disposal. Groundwater monitoring in areas at risk of nitrogen pollution is recommended. Land use activities in the submarine groundwater discharge contribution areas was not found to have major effects on coastal water.
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13

Gyamfi, Charles, Julius Ndambuki, and Ramadhan Salim. "Hydrological Responses to Land Use/Cover Changes in the Olifants Basin, South Africa." Water 8, no. 12 (December 9, 2016): 588. http://dx.doi.org/10.3390/w8120588.

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14

McCUSKER, BRENT, and MARUBINI RAMUDZULI. "Apartheid spatial engineering and land use change in Mankweng, South Africa: 1963?2001." Geographical Journal 173, no. 1 (March 2007): 56–74. http://dx.doi.org/10.1111/j.1475-4959.2007.00222.x.

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15

Venter, Christoffel J., Theuns Lamprecht, and Willem Badenhorst. "Simulating Land use Development through a Stochastic Allocation Procedure in Johannesburg, South Africa." Transportation Research Record: Journal of the Transportation Research Board 1977, no. 1 (January 2006): 75–83. http://dx.doi.org/10.1177/0361198106197700110.

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16

Hoffman, M. T., N. Allsopp, and R. F. Rohde. "Sustainable land use in Namaqualand, South Africa: Key issues in an interdisciplinary debate." Journal of Arid Environments 70, no. 4 (September 2007): 561–69. http://dx.doi.org/10.1016/j.jaridenv.2006.11.021.

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17

Phinzi, Kwanele, and Njoya S. Ngetar. "Land use/land cover dynamics and soil erosion in the Umzintlava catchment (T32E), Eastern Cape, South Africa." Transactions of the Royal Society of South Africa 74, no. 3 (August 12, 2019): 223–37. http://dx.doi.org/10.1080/0035919x.2019.1634652.

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18

Kloppers, Henk J., and Gerrit J. Pienaar. "The Historical Context of Land Reform in South Africa and Early Policies." Potchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad 17, no. 2 (April 21, 2017): 706. http://dx.doi.org/10.17159/1727-3781/2014/v17i2a2183.

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The need for the current land reform programme arose from the racially discriminatory laws and practices which were in place for the largest part of the twentieth century, especially those related to land ownership. The application of these discriminatory laws and practices resulted in extreme inequalities in relation to land ownership and land use. This article provides an overview of the most prominent legislation which provides the framework for the policy of racially-based territorial segregation. It further discusses the legislative measures and policies which were instituted during the period from 1991 to 1997, aimed at abolishing racially-based laws and practices related to land and which eventually provided the basis to the current land reform programme.
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19

Fay, Derick. "Land Tenure, Land Use, and Land Reform at Dwesa–Cwebe, South Africa: Local Transformations and the Limits of the State." World Development 37, no. 8 (August 2009): 1424–33. http://dx.doi.org/10.1016/j.worlddev.2008.08.012.

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20

Stevens, L. B., J. Henri, M. Van Nierop, E. Van Staden, J. Lodder, and S. J. Piketh. "Towards the development of a GHG emissions baseline for the Agriculture, Forestry and Other Land Use (AFOLU) sector, South Africa." Clean Air Journal 26, no. 2 (December 3, 2016): 34–39. http://dx.doi.org/10.17159/2410-972x/2016/v26n2a11.

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South Africa is a signatory to the United Nations Framework Convention on Climate Change (UNFCCC) and as such is required to report on Greenhouse gas (GHG) emissions from the Energy, Transport, Waste and the Agriculture, Forestry and Other Land Use (AFOLU) sectors every two years in national inventories. The AFOLU sector is unique in that it comprises both sources and sinks for GHGs. Emissions from the AFOLU sector are estimated to contribute a quarter of the total global greenhouse gas emissions. GHG emissions sources from agriculture include enteric fermentation; manure management; manure deposits on pastures, and soil fertilization. Emissions sources from Forestry and Other Land Use (FOLU) include anthropogenic land use activities such as: management of croplands, forests and grasslands and changes in land use cover (the conversion of one land use to another). South Africa has improved the quantification of AFOLU emissions and the understanding of the dynamic relationship between sinks and sources over the past decade through projects such as the 2010 GHG Inventory, the Mitigation Potential Analysis (MPA), and the National Terrestrial Carbon Sinks Assessment (NTCSA). These projects highlight key mitigation opportunities in South Africa and discuss their potentials. The problem remains that South Africa does not have an emissions baseline for the AFOLU sector against which the mitigation potentials can be measured. The AFOLU sector as a result is often excluded from future emission projections, giving an incomplete picture of South Africa’s mitigation potential. The purpose of this project was to develop a robust GHG emissions baseline for the AFOLU sector which will enable South Africa to project emissions into the future and demonstrate its contribution towards the global goal of reducing emissions.
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21

Molekoa, Mmasabata, Ram Avtar, Pankaj Kumar, Huynh Thu Minh, Rajarshi Dasgupta, Brian Johnson, Netrananda Sahu, Ram Verma, and Ali Yunus. "Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa." Water 13, no. 2 (January 18, 2021): 220. http://dx.doi.org/10.3390/w13020220.

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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.
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22

Van Niekerk, Elna. "Visual interpretation of ASTER satellite data, Part II: Land use mapping in Mpumalanga,South Africa." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 26, no. 4 (September 22, 2007): 247–64. http://dx.doi.org/10.4102/satnt.v26i4.137.

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Since the initiation in 1960 of the era of satellite remote sensing to detect the different characteristics of the earth, a powerful tool was created to aid researchers. Many land-use studies were undertaken using Landsat MSS, Landsat TM and ETM, as well as SPOT satellite data. The application of these data to the mapping of land use and land cover at smaller scales was constrained by the limited spectral and/or spatial resolution of the data provided by these satellite sensors. In view of the relatively high cost of SPOT data, and uncertainty regarding the future continuation of the Landsat series, alternative data sources need to be investigated. In the absence of published previous research on this issue in South Africa, the purpose of this article is to investigate the value of visual interpretation of ASTER satellite images for the identification and mapping of land-use in an area in South Africa. The study area is situated in Mpumalanga, in the area of Witbank, around the Witbank and Doorndraai dams. This area is characterised by a variety of urban, rural and industrial land uses. Digital image processing of one Landsat 5 TM, one Landsat 7 ETM and one ASTER satellite image was undertaken, including atmospheric correction and georeferencing, natural colour composites, photo infrared colour composites (or false colour satellite images), band ratios, Normalised Difference Indices, as well as the Brightness, Greenness and Wetness Indices. The efficacy with which land use could be identified through the visual interpretation of the processed Landsat 5 TM, Landsat 7 TM and ASTER satellite images was compared. The published 1:50 000 topographical maps of the area were used for the purpose of initial verification. Findings of the visual interpretation process were verified by field visits to the study area. The study found that the ASTER satellite data produced clearer results and therefore have a higher mapping ability and capacity than the Landsat satellite data. Hence, it is anticipated that the use of the full range of the spectral resolution of the ASTER satellite data – which were not available for this study – in statistical pattern recognition and classification methods will enhance the value of the process. Statistical methods are often used to produce visual information which could be applied to prepare land-use change inventories. This should be addressed in future research projects. Should the Landsat programme be terminated, ASTER satellite data might provide the best alternative for a variety of research projects, but if the Landsat project is continued, the ASTER satellite data could be used very effectively in conjunction with the Landsat satellite data. Since it is foreseen that the ASTER satellite data will be available for at least the next 12 to 15 years, it will continue to provide exciting possibilities for the development of programmes to monitor land-use and land-use change. This could then be used by all three levels of government to reach their goals in terms of agricultural planning, town and regional planning and environmental management. These requirements are described in the Integrated Development Programmes (IDP) of the different local governments.
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23

Du Preez, C. C. "Sustainable land use and soil quality: organic matter as an indicator." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 22, no. 4 (September 26, 2003): 106–12. http://dx.doi.org/10.4102/satnt.v22i4.219.

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In this review the most recent approach to sustainable land use and the role that soil quality plays therein are described briefly. The requirements to which indicators must conform for the meaningful evaluation of the quality of soil and sustainability of land use are also elucidated. Thereafter the processes of physical, chemical and biological soil degradation are given. A concise discussion follows on the extent of physical and chemical soil degradation in South Africa, of which there is reliable information. Biological soil degradation is treated in more detail. Attention is given firstly to the role of soil organic matter in biogeochemical cycles. Thereafter the influence of different land use systems in the central parts of South Africa on the organic matter content and consequently the nitrogen, phosphorus and sulphur reserves of soils is discussed by using examples. The conclusion is that organic matter is an important indicator of soil quality and thus also of sustainable land use.
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24

Nyathi, N. A., W. Zhao, and W. Musakwa. "LAND USE LAND COVER CHANGES AND THEIR IMPACTS ON ECOSYSTEM SERVICES IN THE NZHELELE RIVER CATCHMENT, SOUTH AFRICA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 809–16. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-809-2020.

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Abstract. Land use change can result in variations in ecosystem services (ESS) and their relationships. Studying the temporal dynamics of ESS and their relationships can support scenario analyses that provide the theoretical basis for policy decisions and regional ecosystem management in any context. Understanding the spatiotemporal changes in land use and land cover change helps understand ESS management. In this study, the InVEST model was applied to assess carbon sequestration from 1999 to 2018 and to construct two simulated scenarios that represented different land use strategies. The results showed a spatial increase in the cropland class from the stipulated years with a corresponding increase in carbon within the area. It is assumed that the relationship between these two phenomena can affect agricultural policies as a large portion of South Africa depends on it for livelihood betterment. The Spearman’s Correlation Coefficient was used to assess the relationship between the two ESS. The result showed a highly significant correlation that means a change in policy from a governmental level is required. This paper subtly aims to provide data towards the South African context and more scenarios and research is needed to fully deduce effective land use management policies and decisions.
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25

Namugize, Jean Nepomuscene, Graham Jewitt, and Mark Graham. "Effects of land use and land cover changes on water quality in the uMngeni river catchment, South Africa." Physics and Chemistry of the Earth, Parts A/B/C 105 (June 2018): 247–64. http://dx.doi.org/10.1016/j.pce.2018.03.013.

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26

Dube, Timothy, Cletah Shoko, Mbulisi Sibanda, Moses M. Baloyi, Mmasabata Molekoa, Dimakatso Nkuna, Bentley Rafapa, and Berel M. Rampheri. "Spatial modelling of groundwater quality across a land use and land cover gradient in Limpopo Province, South Africa." Physics and Chemistry of the Earth, Parts A/B/C 115 (February 2020): 102820. http://dx.doi.org/10.1016/j.pce.2019.102820.

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27

Landman, Karina. "Gated communities in South Africa: The challenge for spatial planning and land use management." Town Planning Review 75, no. 2 (June 2004): 151–72. http://dx.doi.org/10.3828/tpr.75.2.3.

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28

Engel, Brian Patrick. "Developing Map Use Skills for Planners and Implementers of Land Reform in South Africa." GeoJournal 60, no. 2 (2004): 183–89. http://dx.doi.org/10.1023/b:gejo.0000033580.83768.f7.

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29

Chitonge, Horman. "Land Use and Rural Livelihoods in South Africa: Emerging Evidence from the Eastern Cape." Agrarian South: Journal of Political Economy 2, no. 1 (April 2013): 1–40. http://dx.doi.org/10.1177/2277976013477184.

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30

Kabanda, T. H., and L. G. Palamuleni. "Land use/cover changes and vulnerability to flooding in the Harts catchment, South Africa." South African Geographical Journal 95, no. 1 (June 2013): 105–16. http://dx.doi.org/10.1080/03736245.2013.806165.

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31

Geyer, Herman, and Lyle Quin. "Social diversity and modal choice strategies in mixed land-use development in South Africa." South African Geographical Journal 101, no. 1 (September 26, 2018): 1–21. http://dx.doi.org/10.1080/03736245.2018.1522270.

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32

Brücher, T., M. Claussen, and T. Raddatz. "Implications of land use change in tropical Northern Africa under global warming." Earth System Dynamics Discussions 6, no. 1 (June 22, 2015): 1101–28. http://dx.doi.org/10.5194/esdd-6-1101-2015.

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Abstract. A major link between climate and humans in Northern Africa, and the Sahel in particular, is land use and associated land cover change, mainly where subsistence farming prevails. Here we assess possible feedbacks between the type of land use and harvest intensity and climate by analyzing a series of idealized GCM experiments using the MPI-ESM. The base line for these experiments is a simulation forced by the RCP8.5 scenario which includes strong greenhouse gas emissions and anthropogenic land cover changes. The anthropogenic land cover changes in the RCP8.5 scenario include a mixture of pasture and agriculture. In subsequent simulations, we replace the entire area affected by anthropogenic land cover change in the region between the Sahara in the North and the Guinean Coast in the South (4 to 20° N) by either pasture or agriculture, respectively. In a second setup we vary the amount of harvest in case of agriculture. The RCP8.5 base line simulation reveals strong changes in mean agriculture and monsoon rainfall. In comparison with these changes, any variation of the type of land use in the study area leads to very small, mostly insignificantly small, additional differences in mean temperature and annual precipitation change in this region. Within the uncertainty of the representation of land use in current ESMs, our study suggests marginal feedback between land use changes and climate changes triggered by strong greenhouse gas emissions. Hence as a good approximation, climate change can be considered as external driver in models of land-use – conflict dynamics when seasonal or mean values are used as external driver.
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33

von Solms, Woudi, and Peet van der Merwe. "Farm size and its impact on land use: The case of the South African private wildlife industry." Open Agriculture 5, no. 1 (December 16, 2020): 844–56. http://dx.doi.org/10.1515/opag-2020-0081.

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AbstractThis study briefly discusses the relatively young private wildlife industry of South Africa which surfaced in the late 1990s, early 2000s. The industry has unique conservation management models and land uses that include hunting, breeding and game sales and ecotourism and by-products as well as mixed farming practices that include stock and crop farming. The research found that breeding and game sales are the most productive land-use form. Since this research was conducted, the market for live game sales collapsed and the authors believe that other wildlife-related land uses, such as ecotourism and by-products, will gain popularity in the future to replace breeding which is now less favourable. Furthermore, it was also found that different farm sizes influence the land uses, and a combination of land uses was chosen to be incorporated on a private wildlife establishment. A qualitative research approach was followed, and 223 privately owned wildlife establishment owners and managers were interviewed at fourteen auctions across South Africa. This research also concludes that since most wildlife are found on private conservation land, this research is a must for the industry as it can guide private wildlife establishment owners and managers to manage their private wildlife establishments most productively. Since this research was conducted, the market for live game sales collapsed, and the results show that fewer wildlife establishments are now breeding with game. These game farmers or wildlife establishment owners are now looking for different options on their land. If they cannot find an alternative in the wildlife industry, they will divert to other farming activities such as cattle farming. This will lead to a decrease in land for wildlife, which can impact wildlife numbers in South Africa. The authors believe that land use such as ecotourism and by-products will gain popularity in the future to replace breeding. This research also shows where there are opportunities in the wildlife industry.
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34

Laker, M. C. "Advances in soil erosion, soil conservation, land suitability evaluation and land use planning research in South Africa, 1978–2003." South African Journal of Plant and Soil 21, no. 5 (January 2004): 345–68. http://dx.doi.org/10.1080/02571862.2004.10635069.

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35

Kouassi, Jean-Luc, Amos Gyau, Lucien Diby, Yeboi Bene, and Christophe Kouamé. "Assessing Land Use and Land Cover Change and Farmers’ Perceptions of Deforestation and Land Degradation in South-West Côte d’Ivoire, West Africa." Land 10, no. 4 (April 16, 2021): 429. http://dx.doi.org/10.3390/land10040429.

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Deforestation and land degradation remain two major economic and environmental threats in Côte d’Ivoire. This study assessed land use and land cover (LULC) change and farmers’ perceptions of the drivers and effects of deforestation and land degradation in south-western Côte d’Ivoire. We used remotely sensed data to determine LULC change trends, and a household survey to collect farmers’ perceptions of deforestation and land degradation. A total of 411 households were interviewed using a structured questionnaire and the focus group discussions involved 25 farmers. Landsat image analysis reported a drastic LULC change and a conversion of forestlands into agriculture from 1987 to 2015 at a rate of 1.44%/year and 3.44%/year for dense forests and degraded forests, respectively. The household survey revealed that the major causes of deforestation perceived by farmers included population growth (79.3%), extensive agriculture (72.9%), migration (54.2%) and logging (47.7%). Land degradation evolved, from a shortened fallow period (46.7%) and an inappropriate application of inputs (31.4%). The perceived major effects linked to deforestation encompassed land degradation (70.6%), loss of biodiversity (63.8%), global warming (56.9%) and loss of livelihood assets (54.3%). Therefore, this study recommends participatory landscape planning, reforestation and capacity building of stakeholders for sustainable intensification of the production systems to reduce LULC challenges for enhanced productive and protective functions of remaining forests.
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36

Welderufael, W. A., Y. E. Woyessa, and D. C. Edossa. "Hydrological impact of rainwater harvesting in the Modder river basin of central South Africa." Hydrology and Earth System Sciences Discussions 8, no. 3 (May 23, 2011): 5051–81. http://dx.doi.org/10.5194/hessd-8-5051-2011.

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Abstract. Along the path of water flowing in a river basin are many water-related human interventions that modify the natural systems. Rainwater harvesting is one such intervention that involves harnessing of water in the upstream catchment. Increased water usage at upstream level is an issue of concern for downstream water availability to sustain ecosystem services. The upstream Modder River basin, located in a semi arid region in the central South Africa, is experiencing intermittent meteorological droughts causing water shortages for agriculture, livestock and domestic purpose. To address this problem a technique was developed for small scale farmers with the objective of harnessing rainwater for crop production. However, the hydrological impact of a wider adoption of this technique by farmers has not been well quantified. In this regard, the SWAT hydrological model was used to simulate the hydrological impact of such practices. The scenarios studied were: (1) Baseline scenario, based on the actual land use of 2000, which is dominated by pasture (combination of natural and some improved grass lands) (PAST); (2) Partial conversion of Land use 2000 (PAST) to conventional agriculture (Agri-CON); and (3) Partial conversion of Land use 2000 (PAST) to in-field rainwater harvesting which was aimed at improving the precipitation use efficiency (Agri-IRWH). SWAT was calibrated using observed daily mean stream flow data of a sub-catchment (419 km2) in the study area. SWAT performed well in simulating the stream flow giving Nash and Sutcliffe (1970) efficiency index of 0.57 for the monthly stream flow calibration. The simulated water balance results showed that the highest peak mean monthly direct flow was obtained on Agri-CON land use (18 mm), followed by PAST (12 mm) and Agri-IRWH land use (9 mm). These were 19 %, 13 % and 11 % of the mean annual rainfall, respectively. The Agri-IRWH scenario reduced direct flow by 38 % compared to Agri-CON. On the other hand it was found that the Agri-IRWH contributed to more groundwater flow (40 mm) compared to PAST (32 mm) and Agri-CON (19 mm) scenarios. These results are in line with the intended purpose of Agri-IRWH. Although there was a visible impact of the rainwater harvesting technique on the water yield when considered on a monthly time frame, the overall result suggests that the water yield of one of the upper Modder River Basin quaternary catchment may not be adversely affected by the Agri-IRWH land use scenario despite its surface runoff abstraction design.
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37

Brücher, T., M. Claussen, and T. Raddatz. "Implications of land use change in tropical northern Africa under global warming." Earth System Dynamics 6, no. 2 (December 10, 2015): 769–80. http://dx.doi.org/10.5194/esd-6-769-2015.

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Abstract. A major link between climate and humans in tropical northern Africa, and the Sahel in particular, is land use and associated land cover change, mainly where subsistence farming prevails. Here we assess possible feedbacks between the type of land use and harvest intensity and climate by analysing a series of idealized GCM experiments using the Max Planck Institute Earth System Model (MPI-ESM). The baseline for these experiments is a simulation forced by the RCP8.5 (radiation concentration pathway) scenario, which includes strong greenhouse gas emissions and anthropogenic land cover changes. The anthropogenic land cover changes in the RCP8.5 scenario include a mixture of pasture and agriculture. In subsequent simulations, we replace the entire area affected by anthropogenic land cover change in the region between the Sahara in the north and the Guinean Coast in the south (4 to 20\\degree N) with either pasture or agriculture. In a second set-up we vary the amount of harvest in the case of agriculture. The RCP8.5 baseline simulation reveals strong changes in the area mean agriculture and monsoon rainfall. In comparison with these changes, any variation of the type of land use in the study area leads to very small, mostly insignificantly small, additional differences in mean temperature and annual precipitation change in this region. These findings are only based on the specific set-up of our experiments, which only focuses on variations in the kind of land use, and not the increase in land use, over the 21st century, nor whether land use is considered at all. Within the uncertainty of the representation of land use in current ESMs, our study suggests marginal feedback between land use changes and climate changes triggered by strong greenhouse gas emissions. Hence as a good approximation, climate can be considered as an external forcing: models investigating land-use–conflict dynamics can run offline by prescribing seasonal or mean values of climate as a boundary condition for climate.
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Ashton, P. J., F. C. van Zyl, and R. G. Heath. "Water quality management in the Crocodile River catchment, Eastern Transvaal, South Africa." Water Science and Technology 32, no. 5-6 (September 1, 1995): 201–8. http://dx.doi.org/10.2166/wst.1995.0603.

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The Crocodile River catchment lies in an area which currently has one of the highest rates of sustained economic growth in South Africa and supports a diverse array of land uses. Water quality management is vital to resource management strategies for the catchment. A Geographic Information System (GIS) was used to display specific catchment characteristics and land uses, supplemented with integrative overlays depicting land-use impacts on surface water resources and the consequences of management actions on downstream water quality. The water quality requirements of each water user group were integrated to optimise the selection of rational management solutions for particular water quality problems. Time-series water quality data and cause-effect relationships were used to evaluate different water supply scenarios. The GIS facilitated the collation, processing and interpretation of the enormous quantity of spatially orientated information required for integrated catchment management.
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39

Ololade, Olusola O., and Harold J. Annegarn. "Dynamics of land use/cover changes and landscape fragmentation analysis in Rustenburg area, South Africa." African J. of Economic and Sustainable Development 4, no. 3 (2015): 234. http://dx.doi.org/10.1504/ajesd.2015.071908.

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40

Russell, Charlene, and Colleen T. Downs. "Effect of land use on anuran species composition in north-eastern KwaZulu-Natal, South Africa." Applied Geography 35, no. 1-2 (November 2012): 247–56. http://dx.doi.org/10.1016/j.apgeog.2012.07.003.

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41

Adisa, Omolola, Joel Botai, Abiodun Adeola, Abubeker Hassen, Christina Botai, Daniel Darkey, and Eyob Tesfamariam. "Application of Artificial Neural Network for Predicting Maize Production in South Africa." Sustainability 11, no. 4 (February 21, 2019): 1145. http://dx.doi.org/10.3390/su11041145.

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The use of crop modeling as a decision tool by farmers and other decision-makers in the agricultural sector to improve production efficiency has been on the increase. In this study, artificial neural network (ANN) models were used for predicting maize in the major maize producing provinces of South Africa. The maize production prediction and projection analysis were carried out using the following climate variables: precipitation (PRE), maximum temperature (TMX), minimum temperature (TMN), potential evapotranspiration (PET), soil moisture (SM) and land cultivated (Land) for maize. The analyzed datasets spanned from 1990 to 2017 and were divided into two segments with 80% used for model training and the remaining 20% for testing. The results indicated that PET, PRE, TMN, TMX, Land, and SM with two hidden neurons of vector (5,8) were the best combination to predict maize production in the Free State province, whereas the TMN, TMX, PET, PRE, SM and Land with vector (7,8) were the best combination for predicting maize in KwaZulu-Natal province. In addition, the TMN, SM and Land and TMN, TMX, SM and Land with vector (3,4) were the best combination for maize predicting in the North West and Mpumalanga provinces, respectively. The comparison between the actual and predicted maize production using the testing data indicated performance accuracy adjusted R2 of 0.75 for Free State, 0.67 for North West, 0.86 for Mpumalanga and 0.82 for KwaZulu-Natal. Furthermore, a decline in the projected maize production was observed across all the selected provinces (except the Free State province) from 2018 to 2019. Thus, the developed model can help to enhance the decision making process of the farmers and policymakers.
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42

Musakwa, W., E. N. Makoni, M. Kangethe, and L. Segooa. "Developing a decision support system to identify strategically located land for land reform in South Africa." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 197–203. http://dx.doi.org/10.5194/isprsarchives-xl-2-197-2014.

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Land reform is identified as a key tool in fostering development in South Africa. With two decades after the advent of democracy in South Africa, the land question remains a critical issue for policy makers. A number of frameworks have been put in place by the government to identify land which is strategically located for land reform. However, many of these frameworks are not well aligned and have hampered the government’s land reform initiative in promoting inclusive development. Strategically located land is herein defined as land parcels that are well positioned for the promotion of agriculture, human settlements, rural and tourism development. Accordingly, there is a need to develop a decision tool which facilitates the identification of strategically located land for development. This study proposes the use of geographic information systems (GIS), earth observation (EO) data and multi-criteria decision making (MCDM) to develop a spatial decision support system (SDSS) to identify strategically located land for land reform. The SDDS was therefore designed using GIS, EO data and MCDM to create an index for identification of strategically located land. Expert-led workshops were carried out to ascertain criteria for identifying strategically located land and the analytical hierarchy process (AHP) was utilised used to weight the criteria. The study demonstrates that GIS and EO are invaluable tools in facilitating evidence-based decisions for land reform. However, there is need for capacity building on GIS and EO in government departments responsible for land reform and development planning. The study suggests that there is an urgent need to develop sector specific criteria for the identification of strategically located land for inclusive development.
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43

Turpie, JK, T. O'Connor, A. Mills, and H. Robertson. "The ecological and economic consequences of changing land use in the southern Drakensberg grasslands, South Africa." South African Journal of Economic and Management Sciences 10, no. 4 (May 22, 2014): 423–41. http://dx.doi.org/10.4102/sajems.v10i4.1057.

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The grassland biome of the southern Drakensberg region of South Africa is characterized by a relatively rich floral biodiversity, including a high level of endemics. Land use in the area was traditionally dominated by livestock ranching based mainly on indigenous grassland that conserved biodiversity to some degree. Currently however, market demands and risk factors are shifting land use in the area to a matrix of beef, cropping, dairy and particularly, towards plantation forestry. A spreadsheet model was constructed to understand how expected land use conversion will likely influence the biodiversity, and consequently, the total economic value (TEV) of the area. Six scenarios of increasing dairy and forestry intensification were modelled that incorporated biophysical and legal constraints to development. Results indicate that enhanced development is likely to have significant negative biodiversity impacts including the reduction of the alpha diversity of the indigenous plants in the region, a diminished local invertebrate diversity, an increase in invasions, and could also jeopardize the long term survival of the rare Wattled Crane and Oribi. Furthermore, while the direct use value derived from agriculture and forestry increases with increasing development, its negative influence on the indirect value of water runoff, by far the greatest value of the area, is sufficient to potentially offset the benefits. Other major direct-use, indirect-use, option and existence values are also considered.
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44

Koelble, Thomas A. "Ecology, Economy and Empowerment: Eco-Tourism and the Game Lodge Industry in South Africa." Business and Politics 13, no. 1 (April 2011): 1–24. http://dx.doi.org/10.2202/1469-3569.1333.

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An extensive game lodge industry operates across Southern Africa. Many of these lodges market themselves as ‘eco-tourism destinations’ where wildlife protection, community development and the maintenance of bio-diversity are supposed to be central values of the business model. This article deals with the tensions that arise for the management of such enterprises between a multiplicity of local and global interests around land use pertaining to conflicting motivations of profitability and capital-intensive development, protection of bio-diversity and enabling community empowerment. The article illustrates the interplay between these competing interests, preferences and claims surrounding the use to which the land these lodges occupy is used. It examines a set of cases in South Africa with special reference to the Sabi Sand Private Game Reserve.
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45

Sinthumule, Ndidzulafhi Innocent. "Multiple-land use practices in transfrontier conservation areas: the case of Greater Mapungubwe straddling parts of Botswana, South Africa and Zimbabwe." Bulletin of Geography. Socio-economic Series 34, no. 34 (December 1, 2016): 103–15. http://dx.doi.org/10.1515/bog-2016-0038.

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Abstract Transfrontier Conservation Areas (TFCAs) have recently emerged as the 21st century approach to managing protected areas in southern Africa. Unlike national parks and other protected areas that place emphasis only on the protection of plant and animal species within their borders, transfrontier conservation areas promote conservation beyond the borders of protected areas. Consequently, this mega-conservation initiative encourage multiple land-use practices with the purpose of improving rural livelihoods whilst promoting biodiversity conservation. Thus, land parcels under different forms of tenure are brought together into a common nature conservation project. This study argues that the integration of various land-use practices within one area benefits conservation goals at the expense of local communities and irrigation farmers. To substantiate this argument, the study draws on fieldwork material collected in the Greater Mapungubwe Transfrontier Conservation Area spanning parts of Botswana, South Africa and Zimbabwe. The study concludes that multiple-land use practices in transfrontier conservation areas is only promoted by wildlife managers to gain access to extra land.
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46

Malherbe, Hanlie, Stephan Pauleit, and Carsten Lorz. "Mapping the Loss of Ecosystem Services in a Region Under Intensive Land Use Along the Southern Coast of South Africa." Land 8, no. 3 (March 21, 2019): 51. http://dx.doi.org/10.3390/land8030051.

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Intensive land use activities worldwide have caused considerable loss to many ecosystem services. The dynamics of these threats must be quickly investigated to ensure timely update of management strategies and policies. Compared with complex models, mapping approaches that use scoring matrices to link land use/land cover and landscape properties with ecosystem services are relatively efficient and easier to apply. In this study, scoring matrices are developed and spatially explicit assessments of five ecosystem services, such as erosion control, water flow regulation, water quality maintenance, soil quality maintenance, and biodiversity maintenance, are conducted for a region under intense land use along the southern coast of South Africa. The complex interaction of land use/land cover and ecosystem services within a particular landscape is further elucidated by performing a spatial overview of the high-risk areas that contribute to the loss of ecosystem services. Results indicate that both agricultural activities and urban development contribute to the loss of ecosystem services. This study reveals that with sufficient knowledge from previous literature and inputs from experts, the use of scoring matrices can be adapted to different regional characteristics. This approach can be improved by adding additional landscape properties and/or adapting the matrix values as new data become available.
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47

Mokoena, B. T., and J. P. Sebola. "A MULTI CRITERIA DECISION URBAN DEVELOPMENT FRAMEWORK FOR LAND EXPROPRIATION IN SOUTH AFRICA: A STRATEGIC APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 399–407. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-399-2020.

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Abstract. The land question in South Africa has been a long-standing issue for more than 360 years. Consequent to unjust legislation such as The Natives Land Act No.27 of 1913 to this day, there is a racial imbalance in the distribution of land ownership in South Africa. Coupled with the socio-economic and spatial segregative mandates of the apartheid-government to enrich the white minority, such unjust legislation fostered mass-land dispossessions and displacements of black people relocating them to peripheral areas known as ‘Bantu stands’ where they were further ethnically grouped in remote from socio-economic opportunities. The preceding has resulted in the impoverishment of the black people as they no longer had land – their primary source of livelihood. The limited access to land by black people remains true in post-apartheid South Africa.Since the dawn of democracy, limited access to urban land has coursed challenges for housing development. Spatial transformation towards socio-economic integration has also become problematic as large areas of strategically located land remain locked in the hands of the minorities. Thus, to realise the mandates of South Africa’s democratic government – equal access to land and opportunities, this land needs to be acquired, particularly for the previously disadvantaged, poor, and landless.As cities move towards being smart, this research will demonstrate the use of Evidence Based Planning (EBP) in order to assist Local Government to foster scientific decision making methods. The use of the Multi-Criteria Decision Analysis (MCDA), Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) as a method to develop a Strategic Urban Development Decision Framework (SSUDDF) as a Planning Support System (PSS) that will be used to investigate the best suitable land for possible expropriation. Various criteria such as proximity to road connectivity, proximity to current and future economic activity, proximity to public transport routes, dolomitic land, priority areas and proximity to city centres are some of the criteria selected for the research. The Strategic Spatial Urban Development Decision Framework (SSUDDF) enabled us to stream line significant criteria and processes that where specific to strategic urban development in the Benoni town situated in the City of Ekurhuleni using critical spatial policy and strategic objectives of the city.
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Sieber, Chloé, Martina S. Ragettli, Mark Brink, Olaniyan Toyib, Roslyn Baatjies, Apolline Saucy, Nicole Probst-Hensch, Mohamed Aqiel Dalvie, and Martin Röösli. "Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa." International Journal of Environmental Research and Public Health 14, no. 10 (October 20, 2017): 1262. http://dx.doi.org/10.3390/ijerph14101262.

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49

Loke, P. F., E. Kotzé, C. C. Preez, and L. Twigge. "Dynamics of Soil Carbon Concentrations and Quality Induced by Agricultural Land Use in Central South Africa." Soil Science Society of America Journal 83, no. 2 (March 2019): 366–79. http://dx.doi.org/10.2136/sssaj2018.11.0423.

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50

Anderson, P. M. L., M. T. Hoffman, and P. J. O'Farrell. "Above ground perennial plant biomass across an altitudinal and land-use gradient in Namaqualand, South Africa." South African Journal of Botany 76, no. 3 (August 2010): 471–81. http://dx.doi.org/10.1016/j.sajb.2010.03.004.

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