Dr Ruth Segomotsi Mompati

Back to provinceRead more

Draft Climate Change Plan

The table below provides a list of drafted climate change plan documents that are available for download for the Dr Ruth Segomotsi Mompati District Municipality.
File Name
Year
Size (MB)
Type
Download
Dr Ruth Segomotsi District Municipality CC Presentation201612,980Power Point<a href="https://docs.google.com/presentation/d/1t2C90MDMxvXwIPxPBkPZ5pzJhbve4XNaoccWzrQn540/export/pptx&quot; target="_blank">Download</a>
Dr Ruth Segomotsi Mompati District Municipality CC Response Plan20161,613WORD<a href="https://drive.google.com/uc?export=download&id=0B8W6Tw5QBaPDVHc0SmMtM0Q4dmc&resourcekey=0-M0eXh_A_N7Qm24r7XIcMQw&rtpof=true&sd=true&quot; 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.

Figure: Projected changes in annual average temperatures throughout Dr Ruth Segomotsi Mompati over the period 2021-2050 under the RCP 8.5 scenario (CSIR 2019)

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.

Figure: Projected changes in annual average rainfall throughout Dr Ruth Segomotsi Mompati over the period 2021-2050 under the RCP 8.5 scenario (CSIR 2019)

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.

Figure: Projected changes in the annual average number of extreme rainfall days throughout Dr Ruth Segomotsi Mompati over the period 2021-2050 under the RCP 8.5 scenario (CSIR 2019)

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.

Figure: The current delineation of biomes in Dr Ruth Segomotsi Mompati (SANParks 2011a)
Figure: The predicted shift in biomes in Dr Ruth Segomotsi Mompati using a high-risk scenario (SANParks 2011b)

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
AgricultureIncreased risks to livestockYesAll LMs
Game ranching. Dependent on veld grazing so exposed to drought/flood conditions
HighKey in Kagisano. Both cultural value as well as source of food
LowLimited adaptive capacity. Drought stricken areas. Indigenous, small frame breeds have greatest adaptive capacity and should be promoted as well as extensive fattening of slaughter stock.
Biodiversity and EnvironmentLoss of High Priority BiomesYesGrassland biome. 2 endemic vegetation types: Schwezer Reneke bushveld and the Western Highveld sandy grasslandHighOnly in MamosaLowVegetation types not protected.
Sector plan flagged as priorities.
Human Settlements, Infrastructure and Disaster ManagementIncreased isolation of rural communitiesYesThe DM is 70% rural: Taung (106); KM (~80). People from rural areas travel long distances to go to clinics and town, Transport costs R100. There are many rural areas in Naledi and Dithakwaneng.High70%, the area is mostly rural and there are many communities that are isolated.LowTransport (buses) is available in the mornings and afternoon but it is not enough, people also sell their livestock and buy cars to reduce isolation. Policies are in place or developed. Low capacity due to lack of finances.
WaterDecreased quality of drinking waterYesMamusa has run dry
KM water is salty and km has graves which affect water quality
In some areas drinking water is limited or there is no water at all
In Naledi drinking water is made available in the morning and at night
High52.94%.
The Blue drop score has probably decreased because the number of people using water has increased while the water available has decreased
LowGovernment takes water from the Bloemhof dam to Mamusa local municipality.
The district provides JOJO tanks to communities, these tanks are placed strategically and the service provider refills them
WaterDecreased water quality in ecosystem due to floods and droughtsYesNaledi
Mamusa has run dry
Some areas of Taung and Molopo have problems with water availability
High21.9%
The green drop score has also probably changed
LowNaledi has an efficient/award winning wastewater treatment system in place.
There is a wastewater treatment plant in Lekoteng which was taken over by Sedibeng to improve quality.

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.

Figure: Socio-economic vulnerability per local municipality in Dr Ruth Segomotsi Mompati (Le Roux, van Huyssteen, et al. 2019)

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.

Figure: Environmental vulnerability per local municipality in Dr Ruth Segomotsi Mompati (Le Roux, van Huyssteen, et al. 2019)

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.

Figure: Physical vulnerability per local municipality in Dr Ruth Segomotsi Mompati (Le Roux, van Huyssteen, et al. 2019)

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.

Figure: Economic vulnerability per local municipality in Dr Ruth Segomotsi Mompati (Le Roux, van Huyssteen, et al. 2019)

References