Draft Climate Change Plan
File Name | Year | Size (MB) | Type | Download |
---|---|---|---|---|
Bojanala District Municipality CC Presentation | 2016 | 12,980 | Power Point | <a href="https://docs.google.com/presentation/d/1n-hUYPF7oHA8VB8pDmqx7k4WpcrjFMeNKGkyn0zOcEg/export/pptx" target="_blank">Download</a> |
Bojanala Platinum District Municipality CC Response Plan | 2016 | 1,608 | WORD | <a href="https://drive.google.com/uc?export=download&id=0B8W6Tw5QBaPDV1JwdXh3Y21mekk&resourcekey=0-DdErARQ3CAyFO549D0eFvw&rtpof=true&sd=true" target="_blank">Download</a> |
Key Climate Hazards
Increasing temperatures
The figure below shows projected changes in annual average temperatures, highlighting increasing temperatures throughout the district for the period 2021-2050 under the RCP 8.5 scenario. By 2050, the district is projected to be affected by higher annual average temperatures, which will adversely affect water and food security. Evaporation rates will also likely increase and agricultural outputs may reduce.
Increasing rainfall variability
The figure below shows projected shifts in annual average rainfall throughout the district between 2021-2050 under the RCP 8.5 scenario. Annual average rainfall amounts vary across the district. There is uncertainty regarding projected future rainfall.
Increasing storms and flooding events
The figure below shows projected changes in the annual average number of extreme rainfall days throughout the district over the period 2021-2050 under the RCP 8.5 scenario. Increases in the number of rainfall days are likely to result in an increase in intense storms, and flooding events across the district.
Changing Biomes
The current delineation of biomes is depicted in the figure below, with the predicted shift in biomes shown in the following figure based on a high-risk scenario. The biomes have varying sensitivities to the projected impacts of climate change which are further exacerbated by issues such as the fragmentation of natural areas and unsustainable water usage rates.
Climate Change Vulnerability
A climate change vulnerability assessment is a way of identifying and prioritising impacts from climate change. The IPCC defines vulnerability as:
"Vulnerability to climate change is the degree to which geophysical, biological and socio-economic systems are susceptible to, and unable to cope with, adverse impacts of climate change"
Summary of Climate Change Response Plan
A vulnerability assessment lets you identify these adverse impacts of climate change that are most important to your area. The climate change vulnerability assessment process that is used in this toolkit identified the following indicators in the table below.
Theme | Indicator Title | Exposure | Exposure Comment | Sensitivity | Sensitivity Comment | Adaptive Capacity | Adaptive Capacity Comment |
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Human Health | Increased Occupational health problems | Yes | Farm workers with pesticides and in the granite industry. Fieldworks agricultural Infrastructure development and Waste management | High | 2,772 | Low | Private sector Occupational Health |
Human Settlements, Infrastructure and Disaster Management | Increased impacts on strategic infrastructure | Yes | Roads Railways Tunnels Bridges Roads that connect communities and boost tourism Bridges N4 Road Rail | High | Lots of road networks linking communities. Roads to sun city Pilanesberg N4 Road, Rail VIA Mandela Drive, R510 | Low | No Policies or research. Need input from Transport sector |
Human Settlements, Infrastructure and Disaster Management | Increased impacts on traditional and informal dwellings | Yes | Madibeng Ketleng Sefikile Marikana Freedom Park Sunrise paardekraal Heatwaves Floods Villages | High | Need to update this with current statistics | Low | No programs on relocations on informal settlements. Not enough stakeholder engagement. Flood lines, Relocations occurring in some areas. Political issues and stakeholder engagement |
Human Settlements, Infrastructure and Disaster Management | Increased isolation of rural communities | Yes | Moretele Kgetleng Madibeng Madibeng Between Bapong by Witrankie | High | 0 | Low | Very low. No research. No finances District Transport Plan underway |
Human Settlements, Infrastructure and Disaster Management | Increased migration to urban and peri-urban areas | Yes | Daily community Intra-rural migration Rust is fast growing and offer job opportunities Mining industries, jobs | High | Illegal land occupation and issues, small scale shops, mining, taxi business and transport, tourism | Low | No policies not implemented or reviewed, 2015 stats |
Human Settlements, Infrastructure and Disaster Management | Decreased income from tourism | Yes | Borakalalo Game reserve Hotter Bospoort Dam Borakalalo Hotter Bospoort Dam Madikwe AR Sun City Pilanesberg Kgaswane Mountain Reserve Bospoort Dam | High | Pilanesberg, Madikwe and other nature reserves. Also heritage route. Loss of animal life | Low | Budget or funding to be provided for adaptation of climate change, bigger budget |
The CSIR Greenbook has also developed and refined a vulnerability assessment framework by collating relevant data into composite vulnerability indicators. Four local municipality level vulnerability indices were computed and are shown spatially below.
Socio-Economic Vulnerability
Social inequalities are the factors that affect the susceptibility and coping mechanisms of communities and households. Indicators for social vulnerability attempt to consider the sensitivity, response and recovery from the impacts of natural hazards. The CSIR Green Book has developed a socio-economic vulnerability index that is measured on a scale from 1 (low vulnerability) to 10 (high vulnerability). The map below shows the Socio-Economic vulnerability score of each municipality in the district visually.
Environmental Vulnerability
Environmental vulnerability describes the vulnerability and risk to the natural environment and the impacts on the ecological infrastructure of which surrounding settlements are dependent. The environmental risk of an area includes ecosystems, habitats, physical and biological processes (reproduction, diversity, energy flows, etc). The CSIR Green Book has developed an Environmental Vulnerability Index that is measured on a scale from 1 (low vulnerability) to 10 (high vulnerability). The map below shows the environmental vulnerability score of each municipality in the district visually.
Physical Vulnerability
Physical vulnerability describes the physical fabric and connectedness of settlements (buildings and infrastructure) and focuses mainly on the conditions that exist before a hazard occurs and the expected level of resulting loss. The CSIR Green Book has developed a physical vulnerability index that is measured on a scale from 1 (low vulnerability) to 10 (high vulnerability). The map below shows the physical vulnerability score of each municipality in the district visually.
Economic Vulnerability
Economic vulnerability describes the potential risks posed by hazards on economic assets and processes. Potential hazards can include job losses, increased poverty and interruptions in business activities. The CSIR Green Book has developed an economic vulnerability index that is measured on a scale from 1 (low vulnerability) to 10 (high vulnerability). The map below shows the economic vulnerability score of each municipality in the district visually.
References
- CSIR. 2019. ‘Green Book | Adapting South African Settlements to Climate Change’. Green Book | Adapting South African Settlements to Climate Change. 2019. www.greenbook.co.za.
- Le Roux, A, E van Huyssteen, K Arnold, and C Ludick. 2019. ‘The Vulnerabilities of South Africa’s Settlements’. Green Book. 2019. https://pta-gis-2-web1.csir.co.za/portal/apps/GBCascade/index.html?appid=280ff54e54c145a5a765f736ac5e68f8.
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SANParks. 2011a. ‘CCAB - Current Biome Delineations 2011 [Vector Geospatial Dataset]’. Available from the Biodiversity GIS website. http://bgis.sanbi.org/SpatialDataset/Detail/484
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SANParks. 2011b. ‘CCAB - High Risk Scenarios - Biome Delineations 2011 [Vector Geospatial Dataset]’. Available from the Biodiversity GIS website. http://bgis.sanbi.org/SpatialDataset/Detail/486.