Apartheid spatial engineering and land use change in Mankweng, South Africa: 1963?2001

2007 ◽  
Vol 173 (1) ◽  
pp. 56-74 ◽  
Author(s):  
BRENT McCUSKER ◽  
MARUBINI RAMUDZULI
2010 ◽  
Vol 92 (2) ◽  
pp. 117-128 ◽  
Author(s):  
Bronwyn J. Palmer ◽  
Gillian K. McGregor ◽  
Trevor R. Hill ◽  
Angus W. Paterson

2021 ◽  
Vol 13 (20) ◽  
pp. 11262
Author(s):  
Mohamed A. M. Abd Elbasit ◽  
Jasper Knight ◽  
Gang Liu ◽  
Majed M. Abu-Zreig ◽  
Rashid Hasaan

Although changes in ecosystems in response to climate and land-use change are known to have implications for the provision of different environmental and ecosystem services, quantifying the economic value of some of these services can be problematic and has not been widely attempted. Here, we used a simplified raster remote sensing model based on MODIS data across South Africa for five different time slices for the period 2001–2019. The aims of the study were to quantify the economic changes in ecosystem services due to land degradation and land-cover changes based on areal values (in USD ha−1 yr−1) for ecosystem services reported in the literature. Results show progressive and systematic changes in land-cover classes across different regions of South Africa for the time period of analysis, which are attributed to climate change. Total ecosystem service values for South Africa change somewhat over time as a result of land-use change, but for 2019 this calculated value is USD 437 billion, which is ~125% of GDP. This is the first estimation of ecosystem service value made for South Africa at the national scale. In detail, changes in land cover over time within each of the nine constituent provinces in South Africa mean that ecosystem service values also change regionally. There is a clear disparity between the provinces with the greatest ecosystem service values when compared to their populations and contribution to GDP. This highlights the potential for untapped ecosystem services to be exploited as a tool for regional sustainable development.


2011 ◽  
Vol 39 (2) ◽  
pp. 158-174 ◽  
Author(s):  
Bronwyn J. Palmer ◽  
Trevor R. Hill ◽  
Gillian K. Mcgregor ◽  
Angus W. Paterson

2021 ◽  
Author(s):  
Insa Otte ◽  
Nosiseko Mashiyi ◽  
Pawel Kluter ◽  
Steven Hill ◽  
Andreas Hirner ◽  
...  

<p>Global biodiversity and ecosystem services are under high pressure of human impact. Although avoiding, reducing and reversing the impacts of human activities on ecosystems should be an urgent priority, the loss of biodiversity continues. One of the main drivers of biodiversity loss is land use change and land degradation. In South Africa land degradation has a long history and is of great concern. The SPACES II project SALDi (South African Land Degradation Monitor) aims for developing new, adaptive and sustainable tools for assessing land degradation by addressing the dynamics and functioning of multi-use landscapes with respect to land use change and ecosystem services. SPACES II is a German-South African “Science Partnerships for the Adaptation to Complex Earth System Processes”. Within SALDi ready-to-use earth observation (EO) data cubes are developed. EO data cubes are useful and effective tools using earth observations to deliver decision-ready products. By accessing, storing and processing of remote sensing products and time-series in data cubes, the efficient monitoring of land degradation can therefore be enabled. The SALDi data cubes from optical and radar satellite data include all necessary pre-processing steps and are generated to monitor vegetation dynamics of five years for six focus areas. Intra- and interannual variability in both, a high spatial and temporal resolution will be accounted to monitor land degradation. Therefore, spatial high resolution earth observation data from 2016 to 2021 from Sentinel-1 (C-Band radar) and Sentinel-2 (multispectral) will be integrated in the SALDi data cube for six research areas of 100 x 100 km. Additionally, a number of vegetation indices will be implemented to account for explicit land degradation and vegetation monitoring. Spatially explicit query tools will enable users of the system to focus on specific areas, like hydrological catchments or blocks of fields.</p>


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