Research
Vulnerability to climate change in Umkhanyakude district, KwaZulu-Natal, South Africa Report written by Dr Alison Misselhorn on behalf of Oxfam Australia
2008
Contents Acknowledgements
1. Summary
5
2. Background
6
of partners and community members from
3. Overview of vulnerability in Umkhanyakude district
7
the Umkhanyakude Partnership Program
4 Climate change and vulnerability
9
who participated in an earlier research
5. Projected climate change in Umkhanyakude district
10
5.1 Background: climate change research and data
10
5.2 Climate change impacts
10
6. Food security, livelihoods and climate change in Umkhanyakude
11
Oxfam Australia acknowledges the input
process that informed the development of this publication. Thanks also go to Oxfam Australia staff in Melbourne and South Africa as well as editor Cathy Moloney for her contribution.
6.1 Introduction
11
6.2 Crop production
13
6.3 Rangelands
13
6.4 Human health
13
6.5. Degradation of biodiversity
16
6.6 Sea levels
17
6.7 Tourism
17
6.8. Natural disasters
17
7. Mapping vulnerability in Umkhanyakude
18
7.1 Introduction
18
7.2 An Umkhanyakude Vulnerability Index (UVI)
18
8. Conclusion
24
9. Glossary of terms
26
10. References
27
Contact details
30
Left: Elphinia Ngubane is a volunteer for the Simbambisene Community Centre and is seen here working on one of the Ubambo Community food security projects. Photo: Matthew Willman/OxfamAUS. Front Cover: Thandi Diamini standing in her hut made of wood and mud. Photo: Matthew Willman/OxfamAUS.
2
3
Contents Acknowledgements
1. Summary
5
2. Background
6
of partners and community members from
3. Overview of vulnerability in Umkhanyakude district
7
the Umkhanyakude Partnership Program
4 Climate change and vulnerability
9
who participated in an earlier research
5. Projected climate change in Umkhanyakude district
10
5.1 Background: climate change research and data
10
5.2 Climate change impacts
10
6. Food security, livelihoods and climate change in Umkhanyakude
11
Oxfam Australia acknowledges the input
process that informed the development of this publication. Thanks also go to Oxfam Australia staff in Melbourne and South Africa as well as editor Cathy Moloney for her contribution.
6.1 Introduction
11
6.2 Crop production
13
6.3 Rangelands
13
6.4 Human health
13
6.5. Degradation of biodiversity
16
6.6 Sea levels
17
6.7 Tourism
17
6.8. Natural disasters
17
7. Mapping vulnerability in Umkhanyakude
18
7.1 Introduction
18
7.2 An Umkhanyakude Vulnerability Index (UVI)
18
8. Conclusion
24
9. Glossary of terms
26
10. References
27
Contact details
30
Left: Elphinia Ngubane is a volunteer for the Simbambisene Community Centre and is seen here working on one of the Ubambo Community food security projects. Photo: Matthew Willman/OxfamAUS. Front Cover: Thandi Diamini standing in her hut made of wood and mud. Photo: Matthew Willman/OxfamAUS.
2
3
1. Summary 1. Summary The impacts of climate change apply significant risk on top of existing stressors that characterise the lives of vulnerable people. In 2005, Oxfam Australia initiated the Umkhanyakude Parternship Program, a food security program in the Umkhanyakude district of KwaZulu-Natal (South Africa) that aims to strengthen food and nutrition security within the context of HIV and AIDS in the region. During the early stages of this program, climate change was identified as a particular threat to food security development, and Oxfam Australia commissioned this report to map a range of climate-related risks in the district and assess the vulnerability of communities to these risks.
Food security is determined by agricultural
and education. Umkhanyakude has the
production as well as by food availability (eg
highest malaria prevalence in the country,
food markets); food access (such as being
and HIV and AIDS and tuberculosis (TB)
able to afford to buy food); consistency of
are the leading causes of morbidity and
food supply; and food utilisation and safety
mortality. Poor infrastructure and an
factors, which are affected by health and
absence of basic services are additional
sanitation. In all municipalities of
challenges facing the district. Overall,
Umkhanyakude, except Mtubatuba,
changes in water resources and the
households spend more than half their
hydrological system are arguably the most
income on food which underscores that
profound environmental changes expected
food security is determined as much by the
with climate change.
ability to buy food as by the ability to grow it. It is clear that multiple factors shape people’s food security, and that the impact of climate change on food security is highly complex and extends beyond direct environmental impacts.
There is a strong two-way relationship between human health and food insecurity. Water is critical for food preparation and protecting against disease; with the likelihood of less water being available for drinking and sanitation, there is a greater
Vulnerability to climate change is profoundly
risk of water-borne disease. The climate
determined by underdevelopment, and this
is also likely to become more suitable for
is the key challenge that faces the
malaria. Rainfall variability, humidity,
Umkhanyakude district. The district has a
standing water, extreme rainfall and rainfall
history of underdevelopment, and is
timing, and extreme temperatures all affect
characterised by abject poverty, high rates
mosquito larval development, range, and
of unemployment, and low levels of literacy
malarial transmission rates.
Left: Uthoko Nophila and her baby outside their home in Ingwavuma, KwaZulu-Natal. Photo: Matthew Willman/OxfamAUS.
4
5
1. Summary 1. Summary The impacts of climate change apply significant risk on top of existing stressors that characterise the lives of vulnerable people. In 2005, Oxfam Australia initiated the Umkhanyakude Parternship Program, a food security program in the Umkhanyakude district of KwaZulu-Natal (South Africa) that aims to strengthen food and nutrition security within the context of HIV and AIDS in the region. During the early stages of this program, climate change was identified as a particular threat to food security development, and Oxfam Australia commissioned this report to map a range of climate-related risks in the district and assess the vulnerability of communities to these risks.
Food security is determined by agricultural
and education. Umkhanyakude has the
production as well as by food availability (eg
highest malaria prevalence in the country,
food markets); food access (such as being
and HIV and AIDS and tuberculosis (TB)
able to afford to buy food); consistency of
are the leading causes of morbidity and
food supply; and food utilisation and safety
mortality. Poor infrastructure and an
factors, which are affected by health and
absence of basic services are additional
sanitation. In all municipalities of
challenges facing the district. Overall,
Umkhanyakude, except Mtubatuba,
changes in water resources and the
households spend more than half their
hydrological system are arguably the most
income on food which underscores that
profound environmental changes expected
food security is determined as much by the
with climate change.
ability to buy food as by the ability to grow it. It is clear that multiple factors shape people’s food security, and that the impact of climate change on food security is highly complex and extends beyond direct environmental impacts.
There is a strong two-way relationship between human health and food insecurity. Water is critical for food preparation and protecting against disease; with the likelihood of less water being available for drinking and sanitation, there is a greater
Vulnerability to climate change is profoundly
risk of water-borne disease. The climate
determined by underdevelopment, and this
is also likely to become more suitable for
is the key challenge that faces the
malaria. Rainfall variability, humidity,
Umkhanyakude district. The district has a
standing water, extreme rainfall and rainfall
history of underdevelopment, and is
timing, and extreme temperatures all affect
characterised by abject poverty, high rates
mosquito larval development, range, and
of unemployment, and low levels of literacy
malarial transmission rates.
Left: Uthoko Nophila and her baby outside their home in Ingwavuma, KwaZulu-Natal. Photo: Matthew Willman/OxfamAUS.
4
5
2. Background
3. Overview 3. Overview of vulnerability in Umkhanyakude district The Integrated Sustainable Rural Development Programme (ISRDP) forms part of the South African Government’s Umhlabuyalingana Jozini
strategy to improve the wellbeing and opportunities of the rural poor. The first phase of the ISRDP targets 13 district municipalities, known as nodes, of which Umkhanyakude District Municipality is
St Lucia Park The Big 5 False Bay
one. Initial findings indicate that poor infrastructure and basic services are some of the key challenges facing the
Hlabisa Mtubatuba
municipality. More than 60% of households do not have a telephone connection, less than 30% of households are connected to the electricity supply, and more than 75%
Figure one: The municipalities within South Africa’s Umkhanyakude district.
The northern municipality of 2
Umkhanyakude District Municipality is one of KwaZulu-Natal’s 10 district councils and consists of five local municipalities and one district-managed area. The 2001 census estimates a population of some 590,000 people, with the highest dependency ratio
2. Background
(children under 15 years to adults) and one
In 2005, Oxfam Australia initiated the
are occurring. These include increasing
Umkhanyakude Partnership Program, with
deforestation due to people removing wood
the aim of strengthening food and nutrition
for domestic use which is leading to soil
security within the context of HIV and AIDS
degradation, increased rainfall variability,
in the region. The food security program
warmer winters, and increased incidence
partners identified climate change as one
and length of drought. These in turn are
of the issues that needs to be addressed
affecting crop productivity, diversity, quality,
HIV and AIDS and tuberculosis (TB) are the
within Umkhanyakude. In all municipalities
and food security.1
leading causes of morbidity and mortality.4
Above: Nokhutula Dlamini is 23 years old and looks after four other children in this parentless household. Here she is seen outside in the open with her hut in the background. The Ubombo Centre helps this family by giving them food parcels, school uniforms and paying their school fees. Photo: Matthew Willman/OxfamAUS.
a number of long-term environmental trends
of the highest percentages of vulnerable groups (women, children and the elderly) of all districts in KwaZulu-Natal. Abject poverty is experienced by about 77% of the district’s population.3 The district has the highest malaria prevalence in the country.
Umhlabuyalingana has the highest levels of chronic malnutrition and underweight children, ahead of Hlabisa, which is the largest municipality in terms of population size. The municipalities of Mtubatuba, rural Umkhanyakude (where 62,000 households are reported to suffer from lack of food) and The Big Five False Bay show improving trends in wasting indicating a general 5
6
sanitation facilities and a potable water supply.7 Critical shortages of health facilities are of great concern considering HIV and AIDS prevalence is higher in KwaZulu-Natal than in other South African provinces. HIV and AIDS prevalence ranges from about 20% to 44% and is estimated to average between 20% and 30% within Umkhanyakude district.8
improvement in the malnutrition situation.
income on food, even in areas where crops
2. At the time of writing, the name of the Greater St Lucia Wetland Park was changed to iSimangaliso Wetland Park, applicable as of 1 November 2007. The new name is used throughout this report except in the maps which were compiled prior to the name change.
are grown intensively. A significant
3. Karumbidza (2007).
In all municipalities except Mtubatuba, households spend more than half their
percentage of income is also spent on transport due to remoteness from urban areas and markets (in some municipalities more than 20% of income is spent
1. Sterrett (2007).
of households do not have access to basic
on transport).6
4. Zondi (2004). 5. Children whose weight for height is significantly below the norm. 6. DoA (2006). 7. IDT (2007). 8. KwaZulu-Natal Department of Health Annual Report available at http://www.kznhealth.gov.za/ annualreport2002.2003.pdf
7
2. Background
3. Overview 3. Overview of vulnerability in Umkhanyakude district The Integrated Sustainable Rural Development Programme (ISRDP) forms part of the South African Government’s Umhlabuyalingana Jozini
strategy to improve the wellbeing and opportunities of the rural poor. The first phase of the ISRDP targets 13 district municipalities, known as nodes, of which Umkhanyakude District Municipality is
St Lucia Park The Big 5 False Bay
one. Initial findings indicate that poor infrastructure and basic services are some of the key challenges facing the
Hlabisa Mtubatuba
municipality. More than 60% of households do not have a telephone connection, less than 30% of households are connected to the electricity supply, and more than 75%
Figure one: The municipalities within South Africa’s Umkhanyakude district.
The northern municipality of 2
Umkhanyakude District Municipality is one of KwaZulu-Natal’s 10 district councils and consists of five local municipalities and one district-managed area. The 2001 census estimates a population of some 590,000 people, with the highest dependency ratio
2. Background
(children under 15 years to adults) and one
In 2005, Oxfam Australia initiated the
are occurring. These include increasing
Umkhanyakude Partnership Program, with
deforestation due to people removing wood
the aim of strengthening food and nutrition
for domestic use which is leading to soil
security within the context of HIV and AIDS
degradation, increased rainfall variability,
in the region. The food security program
warmer winters, and increased incidence
partners identified climate change as one
and length of drought. These in turn are
of the issues that needs to be addressed
affecting crop productivity, diversity, quality,
HIV and AIDS and tuberculosis (TB) are the
within Umkhanyakude. In all municipalities
and food security.1
leading causes of morbidity and mortality.4
Above: Nokhutula Dlamini is 23 years old and looks after four other children in this parentless household. Here she is seen outside in the open with her hut in the background. The Ubombo Centre helps this family by giving them food parcels, school uniforms and paying their school fees. Photo: Matthew Willman/OxfamAUS.
a number of long-term environmental trends
of the highest percentages of vulnerable groups (women, children and the elderly) of all districts in KwaZulu-Natal. Abject poverty is experienced by about 77% of the district’s population.3 The district has the highest malaria prevalence in the country.
Umhlabuyalingana has the highest levels of chronic malnutrition and underweight children, ahead of Hlabisa, which is the largest municipality in terms of population size. The municipalities of Mtubatuba, rural Umkhanyakude (where 62,000 households are reported to suffer from lack of food) and The Big Five False Bay show improving trends in wasting indicating a general 5
6
sanitation facilities and a potable water supply.7 Critical shortages of health facilities are of great concern considering HIV and AIDS prevalence is higher in KwaZulu-Natal than in other South African provinces. HIV and AIDS prevalence ranges from about 20% to 44% and is estimated to average between 20% and 30% within Umkhanyakude district.8
improvement in the malnutrition situation.
income on food, even in areas where crops
2. At the time of writing, the name of the Greater St Lucia Wetland Park was changed to iSimangaliso Wetland Park, applicable as of 1 November 2007. The new name is used throughout this report except in the maps which were compiled prior to the name change.
are grown intensively. A significant
3. Karumbidza (2007).
In all municipalities except Mtubatuba, households spend more than half their
percentage of income is also spent on transport due to remoteness from urban areas and markets (in some municipalities more than 20% of income is spent
1. Sterrett (2007).
of households do not have access to basic
on transport).6
4. Zondi (2004). 5. Children whose weight for height is significantly below the norm. 6. DoA (2006). 7. IDT (2007). 8. KwaZulu-Natal Department of Health Annual Report available at http://www.kznhealth.gov.za/ annualreport2002.2003.pdf
7
4. Vulnerability 4. Climate change and vulnerability Vulnerability to climate change in Umkhanyakude is characterised by the nature of these climate changes and by the interaction between climate and the area’s current and future socio-economic and biophysical conditions. These conditions determine its sensitivity and adaptive capacity. There are enormous gaps in the understanding of the characteristics of climate change globally, and for southern Africa, including the nature of its impacts on key areas such as human health, agriculture, tourism and ecosystems. Much of the climate-related research on human health has focused on malaria, but many uncertainties still exist about how malaria will spread and research is also needed into other diseases, such as dengue fever and meningitis.12 The Intergovernmental Panel on Climate Several other health risks characterise
The high incidence of orphans throughout
desertion, illness, poverty, poor housing,
vulnerability in Umkhanyakude. The
South Africa is of particular concern. It is
poor access to services and education,
second-highest cause of mortality in the
estimated that, given no significant changes
emotional problems, and abuse.11 Climate
district after HIV is tuberculosis, with about
in sexual behaviour or health interventions,
change is likely to add a further dimension
65% of TB cases being co-infected with
by 2015 around one third of children under
to this risk profile.
HIV. The climate throughout the district is
the age of 18 in South Africa will have lost
also suitable for endemic malaria, with
one or both parents, largely as a result of
northern Umkhanyakude considered a high
the impact of the HIV and AIDS pandemic.10
risk area where anti-malarial drugs are
Orphans are already at enormous socio-
recommended for all travellers.
economic risk, being more vulnerable than
9
children with parents to food insecurity,
Above: Coordinator for the Ingwavuma Orphan Care Centre speaks with Ugogo Eunice Thumbela, Nomobo Mavundia and Ncamsile Mavundla about the issues they are dealing with in their community. Photo: Matthew Willman/OxfamAUS. 9. See www.mara.org.za and www.malaria.org.za/ Malaria_Risk/Risk_Maps/risk_maps.htm 10. Freeman & Nkomo (2006). 11. Ibid.
8
Change (IPCC) fourth assessment report confirms that Africa is one of the most vulnerable continents to climate change and climate variability, particularly in the face of multiple stresses and underlying vulnerabilities.13
Right: Mrs Mbhele's grandson, one tiny member of the 22-member household. Photo: Matthew Willman/OxfamAUS. 12. Boko et al (2007). 13. Ibid.
9
4. Vulnerability 4. Climate change and vulnerability Vulnerability to climate change in Umkhanyakude is characterised by the nature of these climate changes and by the interaction between climate and the area’s current and future socio-economic and biophysical conditions. These conditions determine its sensitivity and adaptive capacity. There are enormous gaps in the understanding of the characteristics of climate change globally, and for southern Africa, including the nature of its impacts on key areas such as human health, agriculture, tourism and ecosystems. Much of the climate-related research on human health has focused on malaria, but many uncertainties still exist about how malaria will spread and research is also needed into other diseases, such as dengue fever and meningitis.12 The Intergovernmental Panel on Climate Several other health risks characterise
The high incidence of orphans throughout
desertion, illness, poverty, poor housing,
vulnerability in Umkhanyakude. The
South Africa is of particular concern. It is
poor access to services and education,
second-highest cause of mortality in the
estimated that, given no significant changes
emotional problems, and abuse.11 Climate
district after HIV is tuberculosis, with about
in sexual behaviour or health interventions,
change is likely to add a further dimension
65% of TB cases being co-infected with
by 2015 around one third of children under
to this risk profile.
HIV. The climate throughout the district is
the age of 18 in South Africa will have lost
also suitable for endemic malaria, with
one or both parents, largely as a result of
northern Umkhanyakude considered a high
the impact of the HIV and AIDS pandemic.10
risk area where anti-malarial drugs are
Orphans are already at enormous socio-
recommended for all travellers.
economic risk, being more vulnerable than
9
children with parents to food insecurity,
Above: Coordinator for the Ingwavuma Orphan Care Centre speaks with Ugogo Eunice Thumbela, Nomobo Mavundia and Ncamsile Mavundla about the issues they are dealing with in their community. Photo: Matthew Willman/OxfamAUS. 9. See www.mara.org.za and www.malaria.org.za/ Malaria_Risk/Risk_Maps/risk_maps.htm 10. Freeman & Nkomo (2006). 11. Ibid.
8
Change (IPCC) fourth assessment report confirms that Africa is one of the most vulnerable continents to climate change and climate variability, particularly in the face of multiple stresses and underlying vulnerabilities.13
Right: Mrs Mbhele's grandson, one tiny member of the 22-member household. Photo: Matthew Willman/OxfamAUS. 12. Boko et al (2007). 13. Ibid.
9
5. Projected climate change
6. Food security
5. Projected climate change in Umkhanyakude district 5.1 Background: climate change research and data
5.2 Climate change impacts
Extremely limited climate change research
the future climate (2070–2100) are relevant
has been undertaken in KwaZulu-Natal,
to the Umkhanyakude district and climate
despite the enormous and diverse quantity
modelling is constantly being refined.
of environmental research that has gone into
Climate responses may in reality vary within
the development of the iSimangaliso
kilometres.15 Generalisations do not consider
Wetland Park, a World Heritage Site.14
anthropogenic interventions, responses and
At present, the only climate change-related
adaptations, such as land-use change,
research in the park is looking at changes
policy changes, demographic changes, and
in river flow and is very much in its early
so on. Thus they can only highlight
stages. No research into climate
directions for thinking about risk analysis in
change vulnerability and adaptation
the district. Some of the main impacts of
in Umkhanyakude could be sourced to
climate change on the district are likely to be:
inform this report, indicating the urgent need for expanding adaptation-orientated climate change research in South and southern Africa.
A number of general conclusions about
• lower rainfall;
Water is arguably South Africa’s most limiting natural resource.17 The impacts on vulnerability described in this section are extensively, though not exclusively, shaped by rainfall and hydrological responses to climate change. There are numerous links between climate change and water resources, and changes in water resources are arguably the most profound environmental changes related to climate change.18 South Africa is already a high risk hydro-climatic environment characterised by some of the most highly variable rainfalls and stream-flows worldwide, and the management of surface water and groundwater is already challenging.19
• wetter summers, drier winters;
6. Food security, livelihoods and climate change in Umkhanyakude
• higher temperatures; • increased hydrological risk and uncertainty;
6.1 Introduction
• high incidence of extreme rainfall days;
still result due to entitlement failure —
from this summary that the impacts will
inability to buy it, grow it, be given
be extremely complex, and will involve
it or work for it.
direct changes to food production systems
• Food stability: maintaining the
• drying of top soils;
It has long been recognised that food
availability, accessibility and use of
• less water for drinking,
security is about more than food production.
food over time in the face of a variety
sanitation and irrigation;
There are a number of determinants of
of natural, economic, social and policy
• less water in the soil for plants; and
food security, each of which applies
shocks and stresses.
• increases in irrigation
across scales:20
requirements for crops.16
14. The most recent available climate change research for South Africa is a report by multiple authors and institutions, published by the South African Water Research Commission, entitled Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation (2005).
• Food utilisation: food is chosen, stored,
• Food availability: ensuring that a wide
prepared, distributed and eaten in ways
variety of food is available in local markets
that are nutritionally adequate for all
and from own production to supply
members of the household, including
sufficient per capita food.
men and women, girls and boys.
16. Schulze (2005b).
• Food access: focuses on demand-side
Possible impacts of climate change
17. Schulze (2005c).
failures; even where there is sufficient
on three aspects of food security are
production of food, food insecurity may
summarised in Figure two. It is clear
15. Jarvis et al (2006).
18. Ibid. 19. Schulze (2005d).
10
and affect employment and livelihoods. Many of the interactions and outcomes will be highly localised, being dependent on local socio-economic dynamics, resources, and human responses. It is therefore difficult to predict the exact food security vulnerabilities that will arise.
Above: Cabangile Myeni is a single mother of three, from Jozini, South Africa, cares for her sister’s two orphaned children. Local partner Simbambisene supports the family with food parcels and seeds to grow a home garden. Photo: Matthew Willman/OxfamAUS. 20. FAO (2007).
11
5. Projected climate change
6. Food security
5. Projected climate change in Umkhanyakude district 5.1 Background: climate change research and data
5.2 Climate change impacts
Extremely limited climate change research
the future climate (2070–2100) are relevant
has been undertaken in KwaZulu-Natal,
to the Umkhanyakude district and climate
despite the enormous and diverse quantity
modelling is constantly being refined.
of environmental research that has gone into
Climate responses may in reality vary within
the development of the iSimangaliso
kilometres.15 Generalisations do not consider
Wetland Park, a World Heritage Site.14
anthropogenic interventions, responses and
At present, the only climate change-related
adaptations, such as land-use change,
research in the park is looking at changes
policy changes, demographic changes, and
in river flow and is very much in its early
so on. Thus they can only highlight
stages. No research into climate
directions for thinking about risk analysis in
change vulnerability and adaptation
the district. Some of the main impacts of
in Umkhanyakude could be sourced to
climate change on the district are likely to be:
inform this report, indicating the urgent need for expanding adaptation-orientated climate change research in South and southern Africa.
A number of general conclusions about
• lower rainfall;
Water is arguably South Africa’s most limiting natural resource.17 The impacts on vulnerability described in this section are extensively, though not exclusively, shaped by rainfall and hydrological responses to climate change. There are numerous links between climate change and water resources, and changes in water resources are arguably the most profound environmental changes related to climate change.18 South Africa is already a high risk hydro-climatic environment characterised by some of the most highly variable rainfalls and stream-flows worldwide, and the management of surface water and groundwater is already challenging.19
• wetter summers, drier winters;
6. Food security, livelihoods and climate change in Umkhanyakude
• higher temperatures; • increased hydrological risk and uncertainty;
6.1 Introduction
• high incidence of extreme rainfall days;
still result due to entitlement failure —
from this summary that the impacts will
inability to buy it, grow it, be given
be extremely complex, and will involve
it or work for it.
direct changes to food production systems
• Food stability: maintaining the
• drying of top soils;
It has long been recognised that food
availability, accessibility and use of
• less water for drinking,
security is about more than food production.
food over time in the face of a variety
sanitation and irrigation;
There are a number of determinants of
of natural, economic, social and policy
• less water in the soil for plants; and
food security, each of which applies
shocks and stresses.
• increases in irrigation
across scales:20
requirements for crops.16
14. The most recent available climate change research for South Africa is a report by multiple authors and institutions, published by the South African Water Research Commission, entitled Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation (2005).
• Food utilisation: food is chosen, stored,
• Food availability: ensuring that a wide
prepared, distributed and eaten in ways
variety of food is available in local markets
that are nutritionally adequate for all
and from own production to supply
members of the household, including
sufficient per capita food.
men and women, girls and boys.
16. Schulze (2005b).
• Food access: focuses on demand-side
Possible impacts of climate change
17. Schulze (2005c).
failures; even where there is sufficient
on three aspects of food security are
production of food, food insecurity may
summarised in Figure two. It is clear
15. Jarvis et al (2006).
18. Ibid. 19. Schulze (2005d).
10
and affect employment and livelihoods. Many of the interactions and outcomes will be highly localised, being dependent on local socio-economic dynamics, resources, and human responses. It is therefore difficult to predict the exact food security vulnerabilities that will arise.
Above: Cabangile Myeni is a single mother of three, from Jozini, South Africa, cares for her sister’s two orphaned children. Local partner Simbambisene supports the family with food parcels and seeds to grow a home garden. Photo: Matthew Willman/OxfamAUS. 20. FAO (2007).
11
Food availability
Food access
1. Direct effect on crop yields (cereals, 1. Direct impact on agricultural zones vegitables, fruits and edible oils), rangelands affecting incomes and jobs, and the macro and meat production, fisheries and wild food economy, which in turn shape livelihoods in sources; through elevated CO2 levels, number of ways, eg forms of social protection.3 variations in temperature and precipitation, 2. Direct effect on human health and susceptibility and length of growing season, increases in to diseases such as malaria and AIDS which crop pests and diseases and altering soil undermine livelihoods capability and food security.4 1 fertility (eg desiccation and salination) 3. Indirect alterations to social economic aspects 2. Indirect environmental feedbacks through of livelihoods, food systems and development responses such as use of marginal lands processes through human responses, eg increasing degradation and influencing land use and adaption responses.5 2 micro - and macro climates. Climate change
and food security
6.2 Crop production 2001 census data indicate that nearly 95% of the district’s population are rural dwellers, and many households in Umkhanyakude rely at least partially on subsistence agriculture to meet some of their food requirements. Hlabisa is
1. Direct effect on the nutrient content of foods, including protein contents, gluten content of grains, and toxin levels from pests and diseases.6 2. Direct effect on human health and thus ability to absorb nutrients through increasing vunerability to disease (such as AIDS and malaria).7
Figure two: Links between climate change in Africa and three major components of food security (this synthesis first appeared in published form in the IPCC Fourth Assessment Report).
pregnancy and foetal development,
soils, less water in the soil for plants, and
lactation, and resistance to and recovery
increased irrigation requirements. 23 Such
from disease. In turn, disease prevents
a change may have serious implications
people from being able to invest in the
for food security and livelihoods locally
human capital necessary to avoiding
and nationally.
food insecurity, for example the capacity to develop successful responses and
6.3 Rangelands
adaptations to vulnerability.
agriculture is the most wide-spread,
South Africa has extensive land
The choice, preparation and intake of
covering most of the municipality.
degradation challenges. Much of the land
food are influenced by food access and
In the Big Five False Bay municipality,
covered by the Umkhanyakude district is
availability, education, culture, and food
there are large areas under commercial
estimated to suffer from light to moderate
preferences. It necessitates access to
and subsistence agriculture. 21
combined soil and veldt degradation. The
clean water, and is also highly influenced by
former homeland areas — which include One of the greatest difficulties in
access to refrigeration, sanitation and other
the Umkhanyakude district — are estimated
considering the impact of climate change
resources. The effects of climate change
to be the most susceptible to further
on agriculture is that crop and vegetation
described above, in which there is likely to
degradation in the face of climate change. 24
be reduced water for drinking and sanitation
the municipality in which subsistence
Nutrient access
increased rainfall variability, drying of top
responses to change have been projected to be highly localised. For the majority of cultivated land, the most likely best-case scenario is that small reductions in yield will occur. 22 1. Rosegrant & Cline, 2003; AIACC, 2004; Turpie et al, 2002; The Royal Society, 2005; Fischer et al, 2002; Swaminathan, 2000. 2. The Royal Society, 2005; Fischer et al., 2002.
the country suggest that rain-fed agriculture
3. Turpie et al, 2002; AU, 2005.
in Umkhanyakude is likely to be negatively
4. Turpie et al, 2002; Mano et al, 2003; Piot & Pinstrup-Andersen, 2002; van Lieshout et al, 2004; Gommes et al, 2004; USAID, 2003. 5. Brooks et al, 2005; AIACC, 2004; Gregory et al, 2005; Thomas & Twyman, 2005; O'Brien, 2006; Adger & Vincent, 2005.
affected due to lower annual rainfall, higher
6. The Royal Society, 2005.
temperatures, increased hydrological risk,
7. Gommes et al, 2004; Schulze et al, 2001; Swaminathan, 2000.
12
The most recent climate projections for
6.4 Human health
in the district, could increase the likelihood of disease.
The links between health and food security Food insecurity and poor health are closely related. Food insecurity may lead to a state of malnutrition which impairs physical
Above: Hillcrest AIDS Centre Trust community food garden. Photo: Matthew Willman/OxfamAUS.
functioning, compromises the ability to work, and affects development processes such as growth (height and weight),
21. DoA (2006). 22. Jarvis et al (2006). 23. Schulze (2005a). 24. Meadows & Hoffman (2003).
13
Food availability
Food access
1. Direct effect on crop yields (cereals, 1. Direct impact on agricultural zones vegitables, fruits and edible oils), rangelands affecting incomes and jobs, and the macro and meat production, fisheries and wild food economy, which in turn shape livelihoods in sources; through elevated CO2 levels, number of ways, eg forms of social protection.3 variations in temperature and precipitation, 2. Direct effect on human health and susceptibility and length of growing season, increases in to diseases such as malaria and AIDS which crop pests and diseases and altering soil undermine livelihoods capability and food security.4 1 fertility (eg desiccation and salination) 3. Indirect alterations to social economic aspects 2. Indirect environmental feedbacks through of livelihoods, food systems and development responses such as use of marginal lands processes through human responses, eg increasing degradation and influencing land use and adaption responses.5 2 micro - and macro climates. Climate change
and food security
6.2 Crop production 2001 census data indicate that nearly 95% of the district’s population are rural dwellers, and many households in Umkhanyakude rely at least partially on subsistence agriculture to meet some of their food requirements. Hlabisa is
1. Direct effect on the nutrient content of foods, including protein contents, gluten content of grains, and toxin levels from pests and diseases.6 2. Direct effect on human health and thus ability to absorb nutrients through increasing vunerability to disease (such as AIDS and malaria).7
Figure two: Links between climate change in Africa and three major components of food security (this synthesis first appeared in published form in the IPCC Fourth Assessment Report).
pregnancy and foetal development,
soils, less water in the soil for plants, and
lactation, and resistance to and recovery
increased irrigation requirements. 23 Such
from disease. In turn, disease prevents
a change may have serious implications
people from being able to invest in the
for food security and livelihoods locally
human capital necessary to avoiding
and nationally.
food insecurity, for example the capacity to develop successful responses and
6.3 Rangelands
adaptations to vulnerability.
agriculture is the most wide-spread,
South Africa has extensive land
The choice, preparation and intake of
covering most of the municipality.
degradation challenges. Much of the land
food are influenced by food access and
In the Big Five False Bay municipality,
covered by the Umkhanyakude district is
availability, education, culture, and food
there are large areas under commercial
estimated to suffer from light to moderate
preferences. It necessitates access to
and subsistence agriculture. 21
combined soil and veldt degradation. The
clean water, and is also highly influenced by
former homeland areas — which include One of the greatest difficulties in
access to refrigeration, sanitation and other
the Umkhanyakude district — are estimated
considering the impact of climate change
resources. The effects of climate change
to be the most susceptible to further
on agriculture is that crop and vegetation
described above, in which there is likely to
degradation in the face of climate change. 24
be reduced water for drinking and sanitation
the municipality in which subsistence
Nutrient access
increased rainfall variability, drying of top
responses to change have been projected to be highly localised. For the majority of cultivated land, the most likely best-case scenario is that small reductions in yield will occur. 22 1. Rosegrant & Cline, 2003; AIACC, 2004; Turpie et al, 2002; The Royal Society, 2005; Fischer et al, 2002; Swaminathan, 2000. 2. The Royal Society, 2005; Fischer et al., 2002.
the country suggest that rain-fed agriculture
3. Turpie et al, 2002; AU, 2005.
in Umkhanyakude is likely to be negatively
4. Turpie et al, 2002; Mano et al, 2003; Piot & Pinstrup-Andersen, 2002; van Lieshout et al, 2004; Gommes et al, 2004; USAID, 2003. 5. Brooks et al, 2005; AIACC, 2004; Gregory et al, 2005; Thomas & Twyman, 2005; O'Brien, 2006; Adger & Vincent, 2005.
affected due to lower annual rainfall, higher
6. The Royal Society, 2005.
temperatures, increased hydrological risk,
7. Gommes et al, 2004; Schulze et al, 2001; Swaminathan, 2000.
12
The most recent climate projections for
6.4 Human health
in the district, could increase the likelihood of disease.
The links between health and food security Food insecurity and poor health are closely related. Food insecurity may lead to a state of malnutrition which impairs physical
Above: Hillcrest AIDS Centre Trust community food garden. Photo: Matthew Willman/OxfamAUS.
functioning, compromises the ability to work, and affects development processes such as growth (height and weight),
21. DoA (2006). 22. Jarvis et al (2006). 23. Schulze (2005a). 24. Meadows & Hoffman (2003).
13
Climate related diseases
Cholera
A number of climate-mediated diseases
A recent study in KwaZulu-Natal
exist, and climate has impacts on human
demonstrates the widespread primary
health beyond affecting sanitation, drinking
and secondary impacts that climate change
water and food. In general, warmer and
might have on aspects of human health and
more extreme climate shifts are likely
disease risk. While cholera is associated
to exacerbate disease and health risks. 25
with a number of anthropogenic factors,
Changes in climate have the potential
including poor sanitation and overcrowding,
to exacerbate:
climate-related environmental factors affect
• mortality among those who are sick, old or weak through illness due to extreme heat or cold, which also has implications for maternal health; • air pollution; • aero-allergens; • fungi and moulds; • water- and food-borne diseases, for example, giardia, cholera, cryptosporidium, rotaviruses, enteroviruses, coxsackie viruses, cyclospora, and hepatitis A and E viruses; • seasonal influenza; • rodent-borne disease; and • changes in distribution of insect vectors of disease, for example, malaria. In general, Umkhanyakude might expect to
the survival of environmental reservoirs of the pathogen that causes cholera outbreaks. Malaria The incidence and transmission of malaria is largely limited by climate. Seasonal changes (inter-annual changes) in the number of cases of malaria in KwaZuluNatal have been found to be significantly associated with several climate variables. 26 Rainfall variability, humidity and standing water affect the water available for breading. Small differences in climate were found to have marked effects on the intensity of malaria transmission, even in areas subject to malaria control for many years. 27
Moreover, both drug resistance and levels of HIV infection have been found to be particularly significant factors in the incidence of malaria. A 2005 study found estimated proportional increases of 28% for malaria incidence and 114% for malaria deaths across southern Africa due to the impact of HIV. 28 Increased malaria would have extensive repercussions for livelihoods and resilience, and would also result in a considerable burden on health services. Other vector-borne diseases Africa is susceptible to a number of vector-borne diseases over and above malaria. These include diseases such as schistosomiasis, onchocerciasis, trypanosomiasis, yellow fever and tick-borne haemorrhagic fevers. 29 South Africa has been found to be one of the most vulnerable countries in Africa to climateinduced changes in tick distributions and tick-borne diseases.30 These changes are likely to herald an associated increase in numerous tick-borne pathogens which infect livestock and people.
see increases in illness or mortality related to higher temperatures, water-borne diseases, and malaria.
Left: Collecting water at Ingwavuma Orphan Care. Photo: Matthew Willman/OxfamAUS. 25. Comrie (2007). 26. Craig et al (2004b). 27. Kleinschmidt et al (2001). 28. Korenromp et al (2005). 29. Githeko et al (2000). 30. Olwoch (2005).
14
15
Climate related diseases
Cholera
A number of climate-mediated diseases
A recent study in KwaZulu-Natal
exist, and climate has impacts on human
demonstrates the widespread primary
health beyond affecting sanitation, drinking
and secondary impacts that climate change
water and food. In general, warmer and
might have on aspects of human health and
more extreme climate shifts are likely
disease risk. While cholera is associated
to exacerbate disease and health risks. 25
with a number of anthropogenic factors,
Changes in climate have the potential
including poor sanitation and overcrowding,
to exacerbate:
climate-related environmental factors affect
• mortality among those who are sick, old or weak through illness due to extreme heat or cold, which also has implications for maternal health; • air pollution; • aero-allergens; • fungi and moulds; • water- and food-borne diseases, for example, giardia, cholera, cryptosporidium, rotaviruses, enteroviruses, coxsackie viruses, cyclospora, and hepatitis A and E viruses; • seasonal influenza; • rodent-borne disease; and • changes in distribution of insect vectors of disease, for example, malaria. In general, Umkhanyakude might expect to
the survival of environmental reservoirs of the pathogen that causes cholera outbreaks. Malaria The incidence and transmission of malaria is largely limited by climate. Seasonal changes (inter-annual changes) in the number of cases of malaria in KwaZuluNatal have been found to be significantly associated with several climate variables. 26 Rainfall variability, humidity and standing water affect the water available for breading. Small differences in climate were found to have marked effects on the intensity of malaria transmission, even in areas subject to malaria control for many years. 27
Moreover, both drug resistance and levels of HIV infection have been found to be particularly significant factors in the incidence of malaria. A 2005 study found estimated proportional increases of 28% for malaria incidence and 114% for malaria deaths across southern Africa due to the impact of HIV. 28 Increased malaria would have extensive repercussions for livelihoods and resilience, and would also result in a considerable burden on health services. Other vector-borne diseases Africa is susceptible to a number of vector-borne diseases over and above malaria. These include diseases such as schistosomiasis, onchocerciasis, trypanosomiasis, yellow fever and tick-borne haemorrhagic fevers. 29 South Africa has been found to be one of the most vulnerable countries in Africa to climateinduced changes in tick distributions and tick-borne diseases.30 These changes are likely to herald an associated increase in numerous tick-borne pathogens which infect livestock and people.
see increases in illness or mortality related to higher temperatures, water-borne diseases, and malaria.
Left: Collecting water at Ingwavuma Orphan Care. Photo: Matthew Willman/OxfamAUS. 25. Comrie (2007). 26. Craig et al (2004b). 27. Kleinschmidt et al (2001). 28. Korenromp et al (2005). 29. Githeko et al (2000). 30. Olwoch (2005).
14
15
6.5 Degradation of biodiversity
KwaZulu-Natal holds about one sixth
from natural hazards such as floods; and
of South Africa’s remaining indigenous
cultural services, which satisfy human
forest, and is unique in that it supports
spiritual and aesthetic needs.34
The ability of many ecosystems to adapt
both the major forest types of the southern
Indigenous forest is a critical element
naturally is likely to be exceeded by a
African subcontinent — Afromontane forest
in the maintenance of biodiversity and
combination of global change drivers
and Indian Ocean coastal belt forest —
provides an important livelihood resource
(such as land-use change) and climate
and their eight subtypes.33 The province
for many KwaZulu-Natal communities.
change.31 This will be associated with a high
is thus important for maintaining forest
risk of extinction of many plant and animal
diversity, and thus the biodiversity in
species. Aquatic ecosystems, including
South Africa. Umkhanyakude contains
wetlands, are in the worst condition:
several areas comprising more than
about 54% of rivers in South Africa are
50 hectares of indigenous forest,
considered endangered, more than 50% of
representing all eight subtypes.
Changes in biodiversity in South Africa
wetlands have already been destroyed, and about 34% of terrestrial ecosystems are considered threatened.
32
Importance of biodiversity Ecosystems and their biodiversity offer a number of “services” for human wellbeing
6.7 Tourism
6.8 Natural disasters
Changes in sea level are expected to
Climate change is expected to have a
There is wide agreement that climate
affect beaches, cliffs, deltas, estuaries
significant impact on the tourism sector,
change will result in an increased risk
and lagoons, mangroves and coral reefs.
which will have associated impacts on
of frequency and intensity of droughts
Major impacts are expected on freshwater
livelihoods in Umkhanyakude through
and floods in southern Africa.39 The
availability (for example from affected
effects on employment and incomes.
observations of farmers and development
groundwater resources), fisheries, health,
The coastal areas of Umkhanyakude
practitioners as well as policy makers and
recreation and tourism, biodiversity and
are some of the most pristine dune
planners to some extent support that
human settlements resulting from extreme
environments in the world, and their
drought frequency is increasing in southern
events, flooding, seawater temperature
erosion would be a significant loss in
Africa as well as South Africa.
changes, rising water tables, and salt
terms of tourism and livelihoods.
water intrusions.35
already a natural feature of South African
While the exact biophysical and human
South Africa that will accrue from factors
rainfall patterns, and much of the country
impacts on the Umkhanyakude district are
such as loss of biodiversity and sea level
has always been affected by aridity,
not yet known, scientists are confident that
changes are not yet possible to quantify.
droughts and floods.40 The climate impacts
livelihoods in coastal areas of developing countries are more vulnerable to the
as game, wild foods, fodder and fibre;
impacts of sea-level rises than those in
water regulation, air and water purification, disease and pest regulation and protection
31. Fischlin et al (2007). 32. DEAT (2006). 33. Eeley et al (1999). 34. Fischlin et al (2007). 35. Nicholls et al (2007).
Highly variable rainfall between years is
The impacts on tourism and livelihoods for
including provisioning services, such regulating services, such as climate and
16
Above: Visiting one of the child headed households in the Kwamandonya district, volunteers meet with the eldest member of the household to discuss how they are doing and how their situation can be improved on. These types of households are indicative of the poverty in the district highlighting the vulnerabilities experienced within the community. Photo: Matthew Willman/OxfamAUS.
6.6 Sea levels
predicted for Umkhanyakude suggest 35. Nicholls et al (2007). 36. Ibid. 37. Turpie et al (2002).
developed countries. The impact on the
38. Ibid.
coast of KwaZulu-Natal is likely to be
39. Boardley & Schulze (2005); Reid et al (2005).
36
largely erosion of the coastline.37
38
increased deviations in annual precipitation from the average. There is also predicted to be an increase in extreme rainfall days.41
40. Schulze (2005d). 41. Schulze (2005b).
17
6.5 Degradation of biodiversity
KwaZulu-Natal holds about one sixth
from natural hazards such as floods; and
of South Africa’s remaining indigenous
cultural services, which satisfy human
forest, and is unique in that it supports
spiritual and aesthetic needs.34
The ability of many ecosystems to adapt
both the major forest types of the southern
Indigenous forest is a critical element
naturally is likely to be exceeded by a
African subcontinent — Afromontane forest
in the maintenance of biodiversity and
combination of global change drivers
and Indian Ocean coastal belt forest —
provides an important livelihood resource
(such as land-use change) and climate
and their eight subtypes.33 The province
for many KwaZulu-Natal communities.
change.31 This will be associated with a high
is thus important for maintaining forest
risk of extinction of many plant and animal
diversity, and thus the biodiversity in
species. Aquatic ecosystems, including
South Africa. Umkhanyakude contains
wetlands, are in the worst condition:
several areas comprising more than
about 54% of rivers in South Africa are
50 hectares of indigenous forest,
considered endangered, more than 50% of
representing all eight subtypes.
Changes in biodiversity in South Africa
wetlands have already been destroyed, and about 34% of terrestrial ecosystems are considered threatened.
32
Importance of biodiversity Ecosystems and their biodiversity offer a number of “services” for human wellbeing
6.7 Tourism
6.8 Natural disasters
Changes in sea level are expected to
Climate change is expected to have a
There is wide agreement that climate
affect beaches, cliffs, deltas, estuaries
significant impact on the tourism sector,
change will result in an increased risk
and lagoons, mangroves and coral reefs.
which will have associated impacts on
of frequency and intensity of droughts
Major impacts are expected on freshwater
livelihoods in Umkhanyakude through
and floods in southern Africa.39 The
availability (for example from affected
effects on employment and incomes.
observations of farmers and development
groundwater resources), fisheries, health,
The coastal areas of Umkhanyakude
practitioners as well as policy makers and
recreation and tourism, biodiversity and
are some of the most pristine dune
planners to some extent support that
human settlements resulting from extreme
environments in the world, and their
drought frequency is increasing in southern
events, flooding, seawater temperature
erosion would be a significant loss in
Africa as well as South Africa.
changes, rising water tables, and salt
terms of tourism and livelihoods.
water intrusions.35
already a natural feature of South African
While the exact biophysical and human
South Africa that will accrue from factors
rainfall patterns, and much of the country
impacts on the Umkhanyakude district are
such as loss of biodiversity and sea level
has always been affected by aridity,
not yet known, scientists are confident that
changes are not yet possible to quantify.
droughts and floods.40 The climate impacts
livelihoods in coastal areas of developing countries are more vulnerable to the
as game, wild foods, fodder and fibre;
impacts of sea-level rises than those in
water regulation, air and water purification, disease and pest regulation and protection
31. Fischlin et al (2007). 32. DEAT (2006). 33. Eeley et al (1999). 34. Fischlin et al (2007). 35. Nicholls et al (2007).
Highly variable rainfall between years is
The impacts on tourism and livelihoods for
including provisioning services, such regulating services, such as climate and
16
Above: Visiting one of the child headed households in the Kwamandonya district, volunteers meet with the eldest member of the household to discuss how they are doing and how their situation can be improved on. These types of households are indicative of the poverty in the district highlighting the vulnerabilities experienced within the community. Photo: Matthew Willman/OxfamAUS.
6.6 Sea levels
predicted for Umkhanyakude suggest 35. Nicholls et al (2007). 36. Ibid. 37. Turpie et al (2002).
developed countries. The impact on the
38. Ibid.
coast of KwaZulu-Natal is likely to be
39. Boardley & Schulze (2005); Reid et al (2005).
36
largely erosion of the coastline.37
38
increased deviations in annual precipitation from the average. There is also predicted to be an increase in extreme rainfall days.41
40. Schulze (2005d). 41. Schulze (2005b).
17
7. Mapping vulnerability 7. Mapping vulnerability in Umkhanyakude
7.2 An Umkhanyakude Vulnerability Index (UVI)
7.1 Introduction
The indicators
Because adaptive capacity is an element
Table one summarises the factors that
of vulnerability, the indicators used to
are included in a vulnerability index for
“measure” vulnerability to climate change
Umkhanyakude district. These were
(in terms of exposure to risk) and the
developed through drawing on the
capacity to adapt to it are frequently similar.
vulnerability literature, but choices
Factors that are typically considered
were necessarily also determined by
determinants of vulnerability include
available information.
economic wellbeing and stability,
Notes: The figures in brackets indicate the
demographic structure, institutional stability and wellbeing, and the connections between individuals, communities and the ability to help shape policy.42 Similarly,
to the composite index.47 This percentage
Broad determinants of vulnerability,
is based on a theoretical understanding
and components of the UVI
of that component’s relative importance to
Broad determinants of vulnerability,
vulnerability, based on an understanding
and components of the UVI
of the dynamics of vulnerability in KwaZulu-Natal, as well as the wider
Interconnectivity (20%)
Clinics (15%)
Schools (15%)
regarding the importance of the indicators
Description
Ratio of population to clinics. Calculated at municipal level since many wards have no clinics, and some clinics fall on ward boundaries. Ratio of population under 18 years to schools. Calculated at municipal level since many schools fall on ward boundaries.
Department of Health
Department of Education
the literature. 42. Vincent (2004).
to its broad component of the UVI, and the
44. Alberini et al (2006)
Economic wellbeing (25%)
Percentage of adults with no high school education.
Census 2001
Road access (20%)
Ratio of total population to km of road per square km area.
Knowledge Factory 2006
Poverty (50%)
Percentage of households in each ward with no income.
Census 2001
Employment (50%)
Percentage of unemployed adults in each ward.
Census 2001
Percentage below average height-for-age. This only contributed
Human Sciences Resource
10% as the data were available only at municipal level, not ward level.
Council (HSRC) 2007
Percentage of people in each ward without flushing toilets or pit latrines.
Census 2001
45. Adger (2006); Fussel (2005). 46. Fussel (2005).
Health and security (25%)
47. Vincent (2004); Vincent (2007).
Malnutrition (10%)
These indicators represent primarily
of factors such as economic wellbeing,
“internal” factors that determine the
education and skills, information access
sensitivity of people to hazards, including
Access to
and access to other resources,
climate change, and their capacity to
potable water (20%)
Sanitation (10%)
Percentage of people in each ward without access to piped water within the dwelling, within the yard, or on a community stand within
respond and adapt.45 The “external” or
Recent research fielding expert opinion
exposure factors might include, in addition
Water-borne
Percentage of people in each ward relying on water from a river,
on the effects of climate change on human
to climate changes, national policies,
disease risk (20%)
stream, dam, pool or stagnant source.
health, for example, found that experts
national economic issues and global
regarded per capita income, inequality
policies.46 However, it would be too
in the distribution of income, universal
complex to include such external factors
healthcare coverage, and high access to
in a map of this scale.
Orphans (20%)
Demographic structure (20%)
Census 2001
200m from house.
infrastructure, and institutional issues.43
the capacity to adapt to climate change.
Data source
Education (50%)
adaptive capacity is considered a function
information as important determinants of
Percentage of children (below age 15) in each ward who responded “no” to the question “Is your mother alive?” in the 2001 census.
Census 2001
Census 2001
Informal housing (20%)
Percentage of households living in informal housing or shack.
Census 2001
Age distribution (60%)
Ratio of children under 15 and adults over 65 to adults (over 18yrs).
Census 2001
Gender ratio (40%)
Percentage of female- to male-headed households in each ward.
Census 2001
Employment in
Percentage of adults employed in agricultural, hunting, forestry
agricultural sector (50%)
and fishing sectors in each ward.
44
Natural resource dependence (10%)
18
Indicators
literature on vulnerability, and uncertainties
43. O’Brien et al (2004).
component to the overall index.
Table one: Breakdown of the Umkhanyakude Vulnerability Index (UVI)
in the table contributes a given percentage
percentage contribution of each indicator percentage contribution of each broad
institutions beyond the local level and
Each broad component of vulnerability
Census 2001
19
7. Mapping vulnerability 7. Mapping vulnerability in Umkhanyakude
7.2 An Umkhanyakude Vulnerability Index (UVI)
7.1 Introduction
The indicators
Because adaptive capacity is an element
Table one summarises the factors that
of vulnerability, the indicators used to
are included in a vulnerability index for
“measure” vulnerability to climate change
Umkhanyakude district. These were
(in terms of exposure to risk) and the
developed through drawing on the
capacity to adapt to it are frequently similar.
vulnerability literature, but choices
Factors that are typically considered
were necessarily also determined by
determinants of vulnerability include
available information.
economic wellbeing and stability,
Notes: The figures in brackets indicate the
demographic structure, institutional stability and wellbeing, and the connections between individuals, communities and the ability to help shape policy.42 Similarly,
to the composite index.47 This percentage
Broad determinants of vulnerability,
is based on a theoretical understanding
and components of the UVI
of that component’s relative importance to
Broad determinants of vulnerability,
vulnerability, based on an understanding
and components of the UVI
of the dynamics of vulnerability in KwaZulu-Natal, as well as the wider
Interconnectivity (20%)
Clinics (15%)
Schools (15%)
regarding the importance of the indicators
Description
Ratio of population to clinics. Calculated at municipal level since many wards have no clinics, and some clinics fall on ward boundaries. Ratio of population under 18 years to schools. Calculated at municipal level since many schools fall on ward boundaries.
Department of Health
Department of Education
the literature. 42. Vincent (2004).
to its broad component of the UVI, and the
44. Alberini et al (2006)
Economic wellbeing (25%)
Percentage of adults with no high school education.
Census 2001
Road access (20%)
Ratio of total population to km of road per square km area.
Knowledge Factory 2006
Poverty (50%)
Percentage of households in each ward with no income.
Census 2001
Employment (50%)
Percentage of unemployed adults in each ward.
Census 2001
Percentage below average height-for-age. This only contributed
Human Sciences Resource
10% as the data were available only at municipal level, not ward level.
Council (HSRC) 2007
Percentage of people in each ward without flushing toilets or pit latrines.
Census 2001
45. Adger (2006); Fussel (2005). 46. Fussel (2005).
Health and security (25%)
47. Vincent (2004); Vincent (2007).
Malnutrition (10%)
These indicators represent primarily
of factors such as economic wellbeing,
“internal” factors that determine the
education and skills, information access
sensitivity of people to hazards, including
Access to
and access to other resources,
climate change, and their capacity to
potable water (20%)
Sanitation (10%)
Percentage of people in each ward without access to piped water within the dwelling, within the yard, or on a community stand within
respond and adapt.45 The “external” or
Recent research fielding expert opinion
exposure factors might include, in addition
Water-borne
Percentage of people in each ward relying on water from a river,
on the effects of climate change on human
to climate changes, national policies,
disease risk (20%)
stream, dam, pool or stagnant source.
health, for example, found that experts
national economic issues and global
regarded per capita income, inequality
policies.46 However, it would be too
in the distribution of income, universal
complex to include such external factors
healthcare coverage, and high access to
in a map of this scale.
Orphans (20%)
Demographic structure (20%)
Census 2001
200m from house.
infrastructure, and institutional issues.43
the capacity to adapt to climate change.
Data source
Education (50%)
adaptive capacity is considered a function
information as important determinants of
Percentage of children (below age 15) in each ward who responded “no” to the question “Is your mother alive?” in the 2001 census.
Census 2001
Census 2001
Informal housing (20%)
Percentage of households living in informal housing or shack.
Census 2001
Age distribution (60%)
Ratio of children under 15 and adults over 65 to adults (over 18yrs).
Census 2001
Gender ratio (40%)
Percentage of female- to male-headed households in each ward.
Census 2001
Employment in
Percentage of adults employed in agricultural, hunting, forestry
agricultural sector (50%)
and fishing sectors in each ward.
44
Natural resource dependence (10%)
18
Indicators
literature on vulnerability, and uncertainties
43. O’Brien et al (2004).
component to the overall index.
Table one: Breakdown of the Umkhanyakude Vulnerability Index (UVI)
in the table contributes a given percentage
percentage contribution of each indicator percentage contribution of each broad
institutions beyond the local level and
Each broad component of vulnerability
Census 2001
19
Method of developing the UVI The smallest scale at which the above
indicating the overall vulnerability of each
the broad components of vulnerability.
Figure three:
ward relative to other wards (figure three).
HIV and AIDS were omitted because no
The Umkhanyakude
data are available below provincial level.
Vulnerability Index (UVI). 48
data was consistently available was at ward
It is important to emphasise that the UVI
level. In creating the UVI, values for each
is not an absolute measure of vulnerability,
indicator and each ward were extracted.
but rather an indicator of relative
All indicators were standardised so that
vulnerability between wards in the
the highest value in the range equated to 1,
Umkhanyakude district. The whole of
and the lowest value in the range equated
the Umkhanyakude district is considered
to 0. In some cases this involved a
economically and socially vulnerable;
transformation of the data so that the
the aim of this mapping is to give some
highest figure always equated to the
indication of relative vulnerability,
greatest vulnerability. These values were
suggesting which wards may be more or
then summed to make up the six broad
less vulnerable to the impacts of climate
components, contributing the stated
change than others.
percentages to the total. In turn, each component was summed to contribute its stated percentage to the overall UVI for each ward. The summed figures for the wards were then ranked as a percentage of the whole data set, thus returning a number
Two factors that would have been ideal to include in the UVI had to be omitted.
uMkhanykude UVI Index
52702015
Land degradation would have been the
component, and environmental sensitivity which would have been included among
52701009 52702013
52701011
some of the area is classified as “severely 52702011
52701004
52701008 52701008
same ward is classified as only “marginally
Umhlabuyalingana
52702010
degraded” or even “good”. Creating 52702008
an average figure for each ward would
52701005
52702009
52701007
52702006 52702007JOZINI
therefore not have been meaningful.
MAPUTA
EMANGUSI 52702012
degraded” while other land within the
52701002
52701003
MBAZWANA
52702005
N
52702002
Below: Orphaned children who come to the centre once a day to have a good meal. Photo: Matthew Willman/OxfamAUS.
52701010
INGWAVUMA NS/NU
52702014
sensitivity. However, in some wards
52701012
NDUMO
INGWAVUMA
indicator selected for environmental
52702004 52702003
St Lucia Park
MKUZE
These were HIV and AIDS which would have contributed to the health and security
52702016
Jozini
52799000
52799000 UBOMBO NS/NU
48. As noted earlier, at the time of writing the name of the Greater St Lucia Wetland Park was changed to iSimangaliso Wetland Park, applicable as of 1 November 2007. The old name is used in the maps, however, since these were compiled prior to the name change.
52702001
UBOMBO (NATAL) 52703002 52703001
The Big 5 False Bay 52704006 52704005
52703004
HLUHLUWE 52704007
52704004
St Lucia Park
MTHETHWA 52703003 52799000 52704009 52704001 HLABISA NS/NU 52704002 52704006 HLABISA 52704019 52704010 52704011 NYALAZI RIVER 52704017 52799000 52705003 52704018 52704012 SOMKELE 52704016 52704015 52704013 52704014 UBATUBA ST.LUCIA ESTUARY 52705005 52705001 52705002 52705004 KWAMSAME RIVER VIEW 52704003
Hlabisa
St Lucia Park
20
10
0
Mtubatuba
20
Legend 10
Municipality
20
0.000 - 0.200
30
0.201 - 0.300
40
0.301 - 0.400
50
0.401 - 0.500
60
0.501 - 0.600
70
0.601 - 0.700
80
0.701 - 0.800
90
0.801 - 1.000 Towns
Kilometers
20
21
Method of developing the UVI The smallest scale at which the above
indicating the overall vulnerability of each
the broad components of vulnerability.
Figure three:
ward relative to other wards (figure three).
HIV and AIDS were omitted because no
The Umkhanyakude
data are available below provincial level.
Vulnerability Index (UVI). 48
data was consistently available was at ward
It is important to emphasise that the UVI
level. In creating the UVI, values for each
is not an absolute measure of vulnerability,
indicator and each ward were extracted.
but rather an indicator of relative
All indicators were standardised so that
vulnerability between wards in the
the highest value in the range equated to 1,
Umkhanyakude district. The whole of
and the lowest value in the range equated
the Umkhanyakude district is considered
to 0. In some cases this involved a
economically and socially vulnerable;
transformation of the data so that the
the aim of this mapping is to give some
highest figure always equated to the
indication of relative vulnerability,
greatest vulnerability. These values were
suggesting which wards may be more or
then summed to make up the six broad
less vulnerable to the impacts of climate
components, contributing the stated
change than others.
percentages to the total. In turn, each component was summed to contribute its stated percentage to the overall UVI for each ward. The summed figures for the wards were then ranked as a percentage of the whole data set, thus returning a number
Two factors that would have been ideal to include in the UVI had to be omitted.
uMkhanykude UVI Index
52702015
Land degradation would have been the
component, and environmental sensitivity which would have been included among
52701009 52702013
52701011
some of the area is classified as “severely 52702011
52701004
52701008 52701008
same ward is classified as only “marginally
Umhlabuyalingana
52702010
degraded” or even “good”. Creating 52702008
an average figure for each ward would
52701005
52702009
52701007
52702006 52702007JOZINI
therefore not have been meaningful.
MAPUTA
EMANGUSI 52702012
degraded” while other land within the
52701002
52701003
MBAZWANA
52702005
N
52702002
Below: Orphaned children who come to the centre once a day to have a good meal. Photo: Matthew Willman/OxfamAUS.
52701010
INGWAVUMA NS/NU
52702014
sensitivity. However, in some wards
52701012
NDUMO
INGWAVUMA
indicator selected for environmental
52702004 52702003
St Lucia Park
MKUZE
These were HIV and AIDS which would have contributed to the health and security
52702016
Jozini
52799000
52799000 UBOMBO NS/NU
48. As noted earlier, at the time of writing the name of the Greater St Lucia Wetland Park was changed to iSimangaliso Wetland Park, applicable as of 1 November 2007. The old name is used in the maps, however, since these were compiled prior to the name change.
52702001
UBOMBO (NATAL) 52703002 52703001
The Big 5 False Bay 52704006 52704005
52703004
HLUHLUWE 52704007
52704004
St Lucia Park
MTHETHWA 52703003 52799000 52704009 52704001 HLABISA NS/NU 52704002 52704006 HLABISA 52704019 52704010 52704011 NYALAZI RIVER 52704017 52799000 52705003 52704018 52704012 SOMKELE 52704016 52704015 52704013 52704014 UBATUBA ST.LUCIA ESTUARY 52705005 52705001 52705002 52705004 KWAMSAME RIVER VIEW 52704003
Hlabisa
St Lucia Park
20
10
0
Mtubatuba
20
Legend 10
Municipality
20
0.000 - 0.200
30
0.201 - 0.300
40
0.301 - 0.400
50
0.401 - 0.500
60
0.501 - 0.600
70
0.601 - 0.700
80
0.701 - 0.800
90
0.801 - 1.000 Towns
Kilometers
20
21
Table two: The most vunerable wards in Umkhanyakude district according to the UVI Municipalities
The UVI is intended to indicate which wards
Table two lists all the wards that fall into the
In the light of this report as a whole,
are likely to be the most vulnerable to the
most vulnerable category of the UVI. It also
it is clear that the majority of communities
negative impacts of climate change across
notes under which component indices these
in Umkhanyakude are poor and resource-
the district, while the component maps
wards were classified as most vulnerable.
constrained. Such communities in
provide an additional sense of the possible
This summary is intended to highlight the
KwaZulu-Natal typically face multiple
nature of vulnerability in those wards. While
most vulnerable aspects of people’s lives in
stresses that limit their livelihoods and
there are differences in the vulnerability of
the most vulnerable wards. For example, in
options in the face of change.49 This
wards across Umkhanyakude, figure three
ward 52702016 of Jozini municipality, the
makes for complex local dynamics in
clearly shows that a large percentage of
demographic structure of households
assessing vulnerability to climate change,
wards are classified as comparably
appears to be the characteristic that makes
and developing options of response.
vulnerable to the impacts of climate change,
households particularly vulnerable. By
Recent climate research among farmers
and are likely to have poor capacities to
contrast, the vulnerability of ward 52704019
in KwaZulu-Natal clearly confirms
adapt. iSimangaliso Park falls into the most
in Hlabisa municipality is characterised by
this.50 While the vulnerability maps are
vulnerable category of the UVI (0.8-1), and
poor interconnectivity, a vulnerable
not intended to be “desktop guides”
in the most vulnerable categories of all
demographic structure, poor health and
to programming in Umkhanyakude,
component indices. iSimangaliso Park
security, as well as a high dependence
they flag particular vulnerabilities
(formerly Greater St Lucia Wetland Park),
on natural resources.
in geographic areas.
Jozini
52702015
a
Ward colour key: Narrow range of vulnerabilities
Ward categorised as most vulnerable in one component index in addition to the UVI
absence of services in these areas
52702008
Umhlabuya-lingana
52701009 52701012 52701001 52701008
a a a a
52704004 52704005
52704008
Ward categorised as most vulnerable in four component indices in addition to the UVI
52704019
a a a
Mtubatuba iSimangaliso (labelled St Lucia in the maps)
52705004 52799000
Some minimal Marginal Marginal
a a
Marginal Marginal
a
Most moderate Marginal
a a
Marginal
a a a a a
a a
a a a a
Land degradation
Most marginal
a a a
Marginal Mixed Mixed Mixed Mixed Mixed
a a
52704018 52704012
50. Ibid.
a a
52704010
Ward categorised as most vulnerable in all five component indices in addition to the UVI
49. Reid, Massey & Vogel (2005).
a a a
a a a
52704003
52704007
Natural resource dependency
Marginal
a
52701006
Hlabisa
Demographic structure
a
52702006
Ward categorised as most vulnerable in three component indices in addition to the UVI
Wider range of vulnerabilities
Health and security
a
52702013
Ward categorised as most vulnerable in two component indices in addition to the UVI
markedly increase their vulnerability rating.
22
Economic wellbeing
52701007
ward to do so. Despite its low population, risk category for malnutrition, and the
Interconnectivity
52702016
which is classified as one ward, is the only the park’s inhabitants fall into the highest
Wards falling into the most vulnerable UVI category
a a
a a
Mostly poor Mixed Mixed Marginal
a a
a
a a
Pristine Mixed
23
Table two: The most vunerable wards in Umkhanyakude district according to the UVI Municipalities
The UVI is intended to indicate which wards
Table two lists all the wards that fall into the
In the light of this report as a whole,
are likely to be the most vulnerable to the
most vulnerable category of the UVI. It also
it is clear that the majority of communities
negative impacts of climate change across
notes under which component indices these
in Umkhanyakude are poor and resource-
the district, while the component maps
wards were classified as most vulnerable.
constrained. Such communities in
provide an additional sense of the possible
This summary is intended to highlight the
KwaZulu-Natal typically face multiple
nature of vulnerability in those wards. While
most vulnerable aspects of people’s lives in
stresses that limit their livelihoods and
there are differences in the vulnerability of
the most vulnerable wards. For example, in
options in the face of change.49 This
wards across Umkhanyakude, figure three
ward 52702016 of Jozini municipality, the
makes for complex local dynamics in
clearly shows that a large percentage of
demographic structure of households
assessing vulnerability to climate change,
wards are classified as comparably
appears to be the characteristic that makes
and developing options of response.
vulnerable to the impacts of climate change,
households particularly vulnerable. By
Recent climate research among farmers
and are likely to have poor capacities to
contrast, the vulnerability of ward 52704019
in KwaZulu-Natal clearly confirms
adapt. iSimangaliso Park falls into the most
in Hlabisa municipality is characterised by
this.50 While the vulnerability maps are
vulnerable category of the UVI (0.8-1), and
poor interconnectivity, a vulnerable
not intended to be “desktop guides”
in the most vulnerable categories of all
demographic structure, poor health and
to programming in Umkhanyakude,
component indices. iSimangaliso Park
security, as well as a high dependence
they flag particular vulnerabilities
(formerly Greater St Lucia Wetland Park),
on natural resources.
in geographic areas.
Jozini
52702015
a
Ward colour key: Narrow range of vulnerabilities
Ward categorised as most vulnerable in one component index in addition to the UVI
absence of services in these areas
52702008
Umhlabuya-lingana
52701009 52701012 52701001 52701008
a a a a
52704004 52704005
52704008
Ward categorised as most vulnerable in four component indices in addition to the UVI
52704019
a a a
Mtubatuba iSimangaliso (labelled St Lucia in the maps)
52705004 52799000
Some minimal Marginal Marginal
a a
Marginal Marginal
a
Most moderate Marginal
a a
Marginal
a a a a a
a a
a a a a
Land degradation
Most marginal
a a a
Marginal Mixed Mixed Mixed Mixed Mixed
a a
52704018 52704012
50. Ibid.
a a
52704010
Ward categorised as most vulnerable in all five component indices in addition to the UVI
49. Reid, Massey & Vogel (2005).
a a a
a a a
52704003
52704007
Natural resource dependency
Marginal
a
52701006
Hlabisa
Demographic structure
a
52702006
Ward categorised as most vulnerable in three component indices in addition to the UVI
Wider range of vulnerabilities
Health and security
a
52702013
Ward categorised as most vulnerable in two component indices in addition to the UVI
markedly increase their vulnerability rating.
22
Economic wellbeing
52701007
ward to do so. Despite its low population, risk category for malnutrition, and the
Interconnectivity
52702016
which is classified as one ward, is the only the park’s inhabitants fall into the highest
Wards falling into the most vulnerable UVI category
a a
a a
Mostly poor Mixed Mixed Marginal
a a
a
a a
Pristine Mixed
23
8. Conclusion In response to climate change vulnerability
In terms of response, key vulnerabilities
The information provided offers
in Umkhanyakude, interventions aimed
are likely to be a decrease in crop
generalisations about the risks people
at enhancing food security must consider
production potential locally, which will
in Umkhanyakude are likely to face in
that food security is determined by
affect subsistence agriculture, local market
the future, and the factors that need to
agricultural production as well as by
availability and household incomes from
be addressed to enhance people’s capacity
food availability and food markets, food
food sales. Possible losses in biodiversity,
to adapt. This report thus provides only
access, consistency of food supply,
including threats to indigenous forests and
a loose framework in developing
and food utilisation and safety factors.
conservation areas, will affect wild food
programming and in flagging issues or
availability and grazing and have negative
areas of particular concern. Successful
impacts on tourism. Further, conflicts of
programming will depend on the additional,
interest may well arise between the need
ongoing input of those that live with
to conserve biodiversity in conservation
vulnerability, and experience the challenges
areas, and other needs such as crops,
of adaptation, together with input from other
grazing, or habitation.
stakeholders including government and
Vulnerability and adaptive capacity are profoundly determined by underdevelopment. Umkhanyakude has a number of particular risks in this regard, including low levels of education and literacy, high levels of unemployment and poverty, and poor
non-government practitioners working in
infrastructure and basic services (more
There is a strong two-way relationship
than 75% of households have no basic
between human health and food insecurity,
sanitation or access to a potable water
and climate change is likely to have a
From the above it is clear that multiple
supply). High levels of HIV and AIDS,
particular bearing on human health. There
factors shape people’s food security, and
and numerous orphaned children deepen
is a likelihood of less water being available
that the impact of climate change on food
the district’s development challenges.
for drinking and sanitation, and thus a
security is highly complex and extends
greater risk of water-borne disease. Water
beyond direct environmental impacts.
Vulnerability to climate change is considered a function of exposure, response and adaptation. In terms of exposure to future climate-related risks, a number of vulnerabilities in Umkhanyakude stand out. Enormous
communities in the district .
is also necessary for food preparation and protecting against disease. Further, the climate is likely to become more suitable for malaria, with Umkhanyakude being the most affected district of South Africa.
gaps and uncertainties in the understanding
Like vulnerability, adaptive capacity is
of climate change and the nature of its
determined by multiple factors. The two
impacts on key areas such as human
are closely related, and for this reason
health, agriculture, tourism and
when thinking about responses to climate
ecosystems still exist.
change, assessments of vulnerability and adaptive capacity frequently consider the same or similar factors. Right: School children help to plant and water vegetables at school in KwaZulu-Natal province. Photo: Matthew Willman/OxfamAUS.
24
25
8. Conclusion In response to climate change vulnerability
In terms of response, key vulnerabilities
The information provided offers
in Umkhanyakude, interventions aimed
are likely to be a decrease in crop
generalisations about the risks people
at enhancing food security must consider
production potential locally, which will
in Umkhanyakude are likely to face in
that food security is determined by
affect subsistence agriculture, local market
the future, and the factors that need to
agricultural production as well as by
availability and household incomes from
be addressed to enhance people’s capacity
food availability and food markets, food
food sales. Possible losses in biodiversity,
to adapt. This report thus provides only
access, consistency of food supply,
including threats to indigenous forests and
a loose framework in developing
and food utilisation and safety factors.
conservation areas, will affect wild food
programming and in flagging issues or
availability and grazing and have negative
areas of particular concern. Successful
impacts on tourism. Further, conflicts of
programming will depend on the additional,
interest may well arise between the need
ongoing input of those that live with
to conserve biodiversity in conservation
vulnerability, and experience the challenges
areas, and other needs such as crops,
of adaptation, together with input from other
grazing, or habitation.
stakeholders including government and
Vulnerability and adaptive capacity are profoundly determined by underdevelopment. Umkhanyakude has a number of particular risks in this regard, including low levels of education and literacy, high levels of unemployment and poverty, and poor
non-government practitioners working in
infrastructure and basic services (more
There is a strong two-way relationship
than 75% of households have no basic
between human health and food insecurity,
sanitation or access to a potable water
and climate change is likely to have a
From the above it is clear that multiple
supply). High levels of HIV and AIDS,
particular bearing on human health. There
factors shape people’s food security, and
and numerous orphaned children deepen
is a likelihood of less water being available
that the impact of climate change on food
the district’s development challenges.
for drinking and sanitation, and thus a
security is highly complex and extends
greater risk of water-borne disease. Water
beyond direct environmental impacts.
Vulnerability to climate change is considered a function of exposure, response and adaptation. In terms of exposure to future climate-related risks, a number of vulnerabilities in Umkhanyakude stand out. Enormous
communities in the district .
is also necessary for food preparation and protecting against disease. Further, the climate is likely to become more suitable for malaria, with Umkhanyakude being the most affected district of South Africa.
gaps and uncertainties in the understanding
Like vulnerability, adaptive capacity is
of climate change and the nature of its
determined by multiple factors. The two
impacts on key areas such as human
are closely related, and for this reason
health, agriculture, tourism and
when thinking about responses to climate
ecosystems still exist.
change, assessments of vulnerability and adaptive capacity frequently consider the same or similar factors. Right: School children help to plant and water vegetables at school in KwaZulu-Natal province. Photo: Matthew Willman/OxfamAUS.
24
25
9. Glossary 9. Glossary of terms Adaptation: Adaptation to climate change describes the adjustment people make
10. References Human capital: The capability of
to another by an arthropod (such
individuals residing in their knowledge,
as a tick or mosquito) or other agent,
health and skills.
sometimes with other animals serving as intermediary hosts.
to the things they do, the way they do
Hydrological cycle: The continuous
them, or to the organisational or physical
movement, as well as conservation,
Vulnerability: Reflects the extent to which
elements of their environment in response
of water throughout the earth’s system,
a system (or community) reacts adversely
to, or in anticipation of, a changing climate.
including rainfall, run-off, condensation,
to a crisis or hazardous event. Vulnerability
evaporation from water surfaces, plant
denotes the likelihood of exposure and
transpiration, and infiltration into the soil.
sensitivity to livelihood shocks, thus having
Biodiversity: Describes the “natural variety” of an environment, including the habitat variety, number of species,
Institutions: Organisations founded
interactions between species, and
formally or informally for a particular body
genetic variation among individuals
of work, as well as social rules, customs,
within a species.
precedents or constant practices that
Climate change: In the context of this
characterise society.
report, this refers to changes in variability
Malnutrition: Deficiencies and imbalances
and/or changes in the average state of
in the macro- or micro- nutrient dietary
climatic conditions over time, caused by
content, which may lead to abnormalities
human activities.
and disease.
Climate variability: In the context of this
Social capital: Features of social
report, this refers to “natural” changes in
organisation, such as networks,
climate conditions over time, as opposed
norms and trust; the sum of resources,
to those that are caused by human
actual and virtual, that accrue to an
activities. This variability may occur from
individual or a group by virtue of possessing
year to year or in cycles over decades.
a durable network; and/or less
Food security: The physical or economic access of all people at all times to sufficient,
institutionalised relationships of mutual acquaintance and recognition.
safe and nutritious food to meet their
Vector-borne disease: A disease is one
dietary needs and food preferences for
in which the pathogenic micro-organism
an active and healthy life.
is transmitted from one infected individual
an external component (the shocks or stresses to which a household or community are subjected), and an internal component (the negative response of a system or inadequate capacity to cope). Wasting: Children whose weight for height is significantly below the norm.
10. References Adger, W. N. & Vincent, K. (2005) Uncertainty in adaptive capacity. Comptes Rendus Geoscience, 337, 399–410. AIACC (2004) Messages from Dakar: Report of the Second AIACC Regional Workshop for Africa and the Indian Islands, Senegal, 2004. Assessments of Impacts and Adaptations to Climate Change Project (AIACC), funded by the Global Environmental Facility. Alberini, A., Chiabai, A. & Muehlenbachs, L. (2006) Using expert judgment to assess adaptive capacity to climate change: Evidence from a conjoint choice survey. Global Environmental Change, 16, 123–144. Andrews, G., Skinner, D. & Zuma, K. (2006) Epidemiology of health and vulnerability among children orphaned and made vulnerable by HIV/AIDS in sub-Saharan Africa. AIDS Care, 18, 269–276. AU (2005) Status of Food Security and Prospects for Agricultural Development in Africa. AU Ministerial Conference of Ministers of Agriculture January 31– February 1, 2006. Bamako, Mali, African Union. Boardley, S. & Schulze, R. E. (2005) Chapter Twenty-Two: Why adopt a vulnerability approach? In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Boko, M., Niang, I., Nyong, A., Vogel, C., Githeko, A., Medany, M., Osman-Elasha, B., Tabo, R. & Yanda, P. (2007) Africa. In Parry,
26
M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability to Climate Change. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. Brooks, N., Adger, W. N. & Kelly, P. M. (2005) The Determinants of Vulnerability and Adaptive Capacity at the National Level and the Implications for Adaptation. Global Environmental Change, 15, 151–163. Comrie, A. (2007) Climate Change and Human Health. Geography Compass, 1/3 2007, 325–339. Craig, M. H., Kleinschmidt, I., Le Sueur, D. & Sharp, B. L. (2004a) Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part II. The impact of nonclimatic factors. Durban, Malaria Research Programme, Medical Research Council. Craig, M. H., Kleinschmidt, I., Nawn, J. B., Le Sueur, D. & Sharp, B. L. (2004b) Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part I. The impact of climatic factors. Tropical Medicine and International Health, 9, 1247–1257. Craig, M. H. & Sharp, B. L. (2000) Vulnerability and Adaptation Assessment. Health Section. Part One: Malaria. The South African Country Studies Report. National Malaria Research Programme, Medical Research Council. DEAT (2006) South Africa Environment Outlook: A report on the state of the
environment, Pretoria, Department of Environmental Affairs and Tourism. DoA (2006) Food Insecurity in Umkhanyakude: Poster. Data sources: Department of Agriculture; ARC-ISCW; Statistics South Africa – GHS (2005); 2001 Census; National Food Consumption Survey (2000). Human Sciences Research Council. Eeley, H. A. C., Lawes, M. J. & Piper, S. E. (1999) The influence of climate change on the distribution of indigenous forest in KwaZulu-Natal, South Africa. Journal of Biogeography, 26, 595–617. FAO (2007) Assessment of the World Food Security Situation. Committee on World Food Security Thirty-third Session, 7 – 10 May 2007. Rome, Committee on World Food Security. Fischlin, A., Midgley, G. F., Price, J. T., Leemans, R., Gopal, B., Turley, C., Rounsevell, M. D. A., Dube, O. P., Tarazona, J. & Velichko, A. A. (2007) Ecosystems, their properties, goods, and services. In Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. Fischer, F., Shah, M. & van Velthuizen, H. (2002) Climate Change and Agricultural Vulnerability. A special report, prepared by the International Institute for Applied Systems Analysis under United Nations Institutional Contract Agreement No. 1113 on “Climate Change and Agricultural 27
9. Glossary 9. Glossary of terms Adaptation: Adaptation to climate change describes the adjustment people make
10. References Human capital: The capability of
to another by an arthropod (such
individuals residing in their knowledge,
as a tick or mosquito) or other agent,
health and skills.
sometimes with other animals serving as intermediary hosts.
to the things they do, the way they do
Hydrological cycle: The continuous
them, or to the organisational or physical
movement, as well as conservation,
Vulnerability: Reflects the extent to which
elements of their environment in response
of water throughout the earth’s system,
a system (or community) reacts adversely
to, or in anticipation of, a changing climate.
including rainfall, run-off, condensation,
to a crisis or hazardous event. Vulnerability
evaporation from water surfaces, plant
denotes the likelihood of exposure and
transpiration, and infiltration into the soil.
sensitivity to livelihood shocks, thus having
Biodiversity: Describes the “natural variety” of an environment, including the habitat variety, number of species,
Institutions: Organisations founded
interactions between species, and
formally or informally for a particular body
genetic variation among individuals
of work, as well as social rules, customs,
within a species.
precedents or constant practices that
Climate change: In the context of this
characterise society.
report, this refers to changes in variability
Malnutrition: Deficiencies and imbalances
and/or changes in the average state of
in the macro- or micro- nutrient dietary
climatic conditions over time, caused by
content, which may lead to abnormalities
human activities.
and disease.
Climate variability: In the context of this
Social capital: Features of social
report, this refers to “natural” changes in
organisation, such as networks,
climate conditions over time, as opposed
norms and trust; the sum of resources,
to those that are caused by human
actual and virtual, that accrue to an
activities. This variability may occur from
individual or a group by virtue of possessing
year to year or in cycles over decades.
a durable network; and/or less
Food security: The physical or economic access of all people at all times to sufficient,
institutionalised relationships of mutual acquaintance and recognition.
safe and nutritious food to meet their
Vector-borne disease: A disease is one
dietary needs and food preferences for
in which the pathogenic micro-organism
an active and healthy life.
is transmitted from one infected individual
an external component (the shocks or stresses to which a household or community are subjected), and an internal component (the negative response of a system or inadequate capacity to cope). Wasting: Children whose weight for height is significantly below the norm.
10. References Adger, W. N. & Vincent, K. (2005) Uncertainty in adaptive capacity. Comptes Rendus Geoscience, 337, 399–410. AIACC (2004) Messages from Dakar: Report of the Second AIACC Regional Workshop for Africa and the Indian Islands, Senegal, 2004. Assessments of Impacts and Adaptations to Climate Change Project (AIACC), funded by the Global Environmental Facility. Alberini, A., Chiabai, A. & Muehlenbachs, L. (2006) Using expert judgment to assess adaptive capacity to climate change: Evidence from a conjoint choice survey. Global Environmental Change, 16, 123–144. Andrews, G., Skinner, D. & Zuma, K. (2006) Epidemiology of health and vulnerability among children orphaned and made vulnerable by HIV/AIDS in sub-Saharan Africa. AIDS Care, 18, 269–276. AU (2005) Status of Food Security and Prospects for Agricultural Development in Africa. AU Ministerial Conference of Ministers of Agriculture January 31– February 1, 2006. Bamako, Mali, African Union. Boardley, S. & Schulze, R. E. (2005) Chapter Twenty-Two: Why adopt a vulnerability approach? In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Boko, M., Niang, I., Nyong, A., Vogel, C., Githeko, A., Medany, M., Osman-Elasha, B., Tabo, R. & Yanda, P. (2007) Africa. In Parry,
26
M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability to Climate Change. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. Brooks, N., Adger, W. N. & Kelly, P. M. (2005) The Determinants of Vulnerability and Adaptive Capacity at the National Level and the Implications for Adaptation. Global Environmental Change, 15, 151–163. Comrie, A. (2007) Climate Change and Human Health. Geography Compass, 1/3 2007, 325–339. Craig, M. H., Kleinschmidt, I., Le Sueur, D. & Sharp, B. L. (2004a) Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part II. The impact of nonclimatic factors. Durban, Malaria Research Programme, Medical Research Council. Craig, M. H., Kleinschmidt, I., Nawn, J. B., Le Sueur, D. & Sharp, B. L. (2004b) Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part I. The impact of climatic factors. Tropical Medicine and International Health, 9, 1247–1257. Craig, M. H. & Sharp, B. L. (2000) Vulnerability and Adaptation Assessment. Health Section. Part One: Malaria. The South African Country Studies Report. National Malaria Research Programme, Medical Research Council. DEAT (2006) South Africa Environment Outlook: A report on the state of the
environment, Pretoria, Department of Environmental Affairs and Tourism. DoA (2006) Food Insecurity in Umkhanyakude: Poster. Data sources: Department of Agriculture; ARC-ISCW; Statistics South Africa – GHS (2005); 2001 Census; National Food Consumption Survey (2000). Human Sciences Research Council. Eeley, H. A. C., Lawes, M. J. & Piper, S. E. (1999) The influence of climate change on the distribution of indigenous forest in KwaZulu-Natal, South Africa. Journal of Biogeography, 26, 595–617. FAO (2007) Assessment of the World Food Security Situation. Committee on World Food Security Thirty-third Session, 7 – 10 May 2007. Rome, Committee on World Food Security. Fischlin, A., Midgley, G. F., Price, J. T., Leemans, R., Gopal, B., Turley, C., Rounsevell, M. D. A., Dube, O. P., Tarazona, J. & Velichko, A. A. (2007) Ecosystems, their properties, goods, and services. In Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. Fischer, F., Shah, M. & van Velthuizen, H. (2002) Climate Change and Agricultural Vulnerability. A special report, prepared by the International Institute for Applied Systems Analysis under United Nations Institutional Contract Agreement No. 1113 on “Climate Change and Agricultural 27
10. References Vulnerability” as a contribution to the World Summit on Sustainable Development, Johannesburg 2002. Freeman, M. & Nkomo, N. (2006) Guardianship of orphans and vulnerable children. A survey of current and prospective South African caregivers. AIDS Care, 18, 302–310. Fussel, H. M. (2005) Vulnerability in Climate Change Research: A Comprehensive Conceptual Framework. University of California International and Area Studies. Githeko, A. K., Lindsay, S. W., Confalonieri, U. E. & Patz, J. A. (2000) Climate change and vector-borne diseases: a regional analysis. Bulletin of the World Health Organisation, 78, 1136-1148. Gommes, R., du Guerny, J., Glantz, M. H. & Hsu, L. N. (2004) Climate and HIV/AIDS: A hotspots analysis for Early Warning Rapid Response Systems. UNDP, FAO and NCAR. Gregory, P. J., Ingram, J. S. I. & Brklacich, M. (2005) Climate change and food security. Philosophical Transactions of the Royal Society B 360, 2139-2148. IDT (2007) Poverty Eradication: 04 Umkhanyakude DC27. http://www.idt.org.za/. Independent Development Trust. Jarvis, A., Fisher, M., P., J., Cook, S. & Guarino, L. (2006) Agriculture, Risk and Climate Change. http://www.cgiar.org/ pdf/2006_Jarvis%20and%20others-Ag_ Risk_ClimateChange_2006_FINAL.pdf, Consultative Group in International Agricultural Research. 28
Karumbidza, J. B. (2007) uMkhanyakude: Livelihood Profile of uMkhanyakude and Situational Analysis of DSD Services in the node. Second Draft. South African Department of Social Development. Kleinschmidt, I., Sharp, B. L., Clarke, G. P. Y., Curtis, B. & Fraser, C. (2001) Use of Generalized Linear Mixed Models in the Spatial Analysis of Small-Area Malaria Incidence Rates in KwaZulu Natal, South Africa. American Journal of Epidemiology, 153, 1213–1221. Korenromp, E. L., Williams, B. G., De Vlas, S. J., Gouws, E., Gilks, C. F., Ghys, P. D. & Nahlen, B. L. (2005) Malaria attributable to the HIV-1 epidemic, sub-Saharan Africa. Emerging Infectious Diseases, 11, 1410–1419. Mano, R., Isaacson, B. & Dardel, P. (2003) Identifying Policy Determinants of Food Security Response and Recovery in the SADC Region: The Case of the 2002 Food Emergency. Keynote paper prepared for the FANRPAN Regional Dialogue on Agricultural Recovery, Food Security and Trade Policies in Southern Africa, Gaborone, Botswana, 26–27 March 2003. Meadows, M. E. & Hoffman, T. M. (2002) The Nature, Extent and Causes of Land Degradation in South Africa; legacy of the past, lessons for the future? Area, 33, 429–437. Meadows, M. E. & Hoffman, T. M. (2003) Land degradation and climate change in South Africa. The Geographical Journal, 169, 168–177.
Mukheibir, P. & Sparks, D. (2003) Water resource management and climate change in South Africa: Visions, driving factors and sustainable development indicators: Report for Phase I of the Sustainable Development and Climate Change project. Energy and Development Research Centre, University of Cape Town. Nicholls, R. J., Wong, P. P., Burkett, V. R., Codignotto, J. O., Hay, J. E., McLean, R. F., Ragoonaden, S. & Woodroffe, C. D. (2007) Coastal systems and low-lying areas. In Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. O’Brien, K., Leichenko, R., Kelkar, U., Venema, H., Aandahl, G., Tompkins, H., Javed, A., Bhadwal, S., Barg, S., Nygaarda, L. & West, J. (2004) Mapping vulnerability to multiple stressors: climate change and globalization in India. Global Environmental Change, 14, 303-313. Olwoch, J. M. (2005) Climate change and tick-host relationships in Africa. Faculty of Natural & Agricultural Sciences. Pretoria, University of Pretoria. Piot, P. & Pinstrup-Andersen, P. (2002) 2001-2002 IFPRI Annual Report Essay AIDS: The New Challenge to Food Security. Washington DC, International Food Policy Research Institute.
Poulsen, H. (2006) The gendered impact of HIV/AIDS on education in South Africa and Swaziland: Save the Children's experiences. Gender & Development, 14, 47–56.
Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission.
Reid, P., Massey, R. & Vogel, C. (2005) Chapter Twenty-Five: Climate and Development:
Schulze, R. E. (2005c) Chapter One: Looking into the Future: Why Research Impacts of Possible Climate Change on Hydrological Responses in Southern Africa? In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission.
Experiences of Farmers in KwaZulu-Natal, South Africa. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Rosegrant, M. W. & Cline, S. A. (2003) Global Food Security: Challenges and Policies. Science, 302, 1917–1919. The Royal Society (2005) Food crops in a changing climate: Report of a Royal Society Discussion Meeting held in April 2005. Royal Society Policy Document 10/05. The Royal Society. Schulze, R. E. (2005a) Chapter Eight: The Southern African Quaternary Catchments Database: Refinements to, and Links with, the ACRU System as a Framework for Modelling Impacts of Climate Change on Water Resources. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Schulze, R. E. (2005b) Chapter Nine: An Assessment of Impacts of Climate Change on Agrohydrological Responses over Southern Africa. In Schulze, R. E. (Ed.)
Schulze, R. E. (2005d) Chapter Six: Setting the Scene: The Current Hydroclimatic “Landscape” in Southern Africa. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Sen, A. K. (1981) Poverty and famines: an essay on entitlement and deprivation, Oxford, Clarendon Press. Sterrett, C. (2007) Where has all the water gone? Understanding climate change from a community perspective Northern KwaZuluNatal, South Africa. Oxfam Australia. Swaminathan, M. S. (2000) Climate change and food security. In Gomez-Echeveri, C. (Ed.) Climate Change and Development. UNDP Regional Bureau for Latin. Thomas, D. S. G. & Twyman, C. (2005) Equity and justice in climate change adaptation amongst natural-resourcedependent societies. Global Environmental Change Part A, 15, 115 124.
Turpie, J., Winkler, H., Spalding-Fecher, R. & Midgley, G. (2002) Economic Impacts of Climate Change in South Africa: A Preliminary Analysis of Unmitigated Damage Costs. Cape. van Lieshout, M., Kovats, R. S., Livermore, M. T. J. & Martens, P. (2004) Climate change and malaria: analysis of the SRES climate and socio-economic scenarios. Global Environmental Change, 14, 87–99. USAID (2003) RCSA Food Security Strategic Option: Synthesis and Analysis of Selected Readings. Report prepared by Nathan and Associates for USAID Regional Centre for Africa. USAID. Vincent, K. (2004) Creating an index of social vulnerability to climate change for Africa. Working Paper 56. Norwich, Tyndall Centre for Climate Change Research. Vincent, K. (2007) Gendered vulnerability to climate change in Limpopo Province, South Africa. Unpublished Doctoral Thesis. Tyndall Centre for Climate Change Research School of Environmental Sciences. University of East Anglia. Zondi, T. (2004) Health Systems Trust Initiative for sub-district exit report for Umkhanyakude District Municipality, KwaZulu-Natal Province. March 2002 – September 2004. An end of project report on the Health Systems Trust’s commissioned role to facilitate the Rural District Health Systems Project (RDHSP) as per the European Union tender (Tender RT 1397 GP). Pietermarizburg, Health Systems Trust.
29
10. References Vulnerability” as a contribution to the World Summit on Sustainable Development, Johannesburg 2002. Freeman, M. & Nkomo, N. (2006) Guardianship of orphans and vulnerable children. A survey of current and prospective South African caregivers. AIDS Care, 18, 302–310. Fussel, H. M. (2005) Vulnerability in Climate Change Research: A Comprehensive Conceptual Framework. University of California International and Area Studies. Githeko, A. K., Lindsay, S. W., Confalonieri, U. E. & Patz, J. A. (2000) Climate change and vector-borne diseases: a regional analysis. Bulletin of the World Health Organisation, 78, 1136-1148. Gommes, R., du Guerny, J., Glantz, M. H. & Hsu, L. N. (2004) Climate and HIV/AIDS: A hotspots analysis for Early Warning Rapid Response Systems. UNDP, FAO and NCAR. Gregory, P. J., Ingram, J. S. I. & Brklacich, M. (2005) Climate change and food security. Philosophical Transactions of the Royal Society B 360, 2139-2148. IDT (2007) Poverty Eradication: 04 Umkhanyakude DC27. http://www.idt.org.za/. Independent Development Trust. Jarvis, A., Fisher, M., P., J., Cook, S. & Guarino, L. (2006) Agriculture, Risk and Climate Change. http://www.cgiar.org/ pdf/2006_Jarvis%20and%20others-Ag_ Risk_ClimateChange_2006_FINAL.pdf, Consultative Group in International Agricultural Research. 28
Karumbidza, J. B. (2007) uMkhanyakude: Livelihood Profile of uMkhanyakude and Situational Analysis of DSD Services in the node. Second Draft. South African Department of Social Development. Kleinschmidt, I., Sharp, B. L., Clarke, G. P. Y., Curtis, B. & Fraser, C. (2001) Use of Generalized Linear Mixed Models in the Spatial Analysis of Small-Area Malaria Incidence Rates in KwaZulu Natal, South Africa. American Journal of Epidemiology, 153, 1213–1221. Korenromp, E. L., Williams, B. G., De Vlas, S. J., Gouws, E., Gilks, C. F., Ghys, P. D. & Nahlen, B. L. (2005) Malaria attributable to the HIV-1 epidemic, sub-Saharan Africa. Emerging Infectious Diseases, 11, 1410–1419. Mano, R., Isaacson, B. & Dardel, P. (2003) Identifying Policy Determinants of Food Security Response and Recovery in the SADC Region: The Case of the 2002 Food Emergency. Keynote paper prepared for the FANRPAN Regional Dialogue on Agricultural Recovery, Food Security and Trade Policies in Southern Africa, Gaborone, Botswana, 26–27 March 2003. Meadows, M. E. & Hoffman, T. M. (2002) The Nature, Extent and Causes of Land Degradation in South Africa; legacy of the past, lessons for the future? Area, 33, 429–437. Meadows, M. E. & Hoffman, T. M. (2003) Land degradation and climate change in South Africa. The Geographical Journal, 169, 168–177.
Mukheibir, P. & Sparks, D. (2003) Water resource management and climate change in South Africa: Visions, driving factors and sustainable development indicators: Report for Phase I of the Sustainable Development and Climate Change project. Energy and Development Research Centre, University of Cape Town. Nicholls, R. J., Wong, P. P., Burkett, V. R., Codignotto, J. O., Hay, J. E., McLean, R. F., Ragoonaden, S. & Woodroffe, C. D. (2007) Coastal systems and low-lying areas. In Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. & Hanson, C. E. (Eds.) Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Cambridge University Press. O’Brien, K., Leichenko, R., Kelkar, U., Venema, H., Aandahl, G., Tompkins, H., Javed, A., Bhadwal, S., Barg, S., Nygaarda, L. & West, J. (2004) Mapping vulnerability to multiple stressors: climate change and globalization in India. Global Environmental Change, 14, 303-313. Olwoch, J. M. (2005) Climate change and tick-host relationships in Africa. Faculty of Natural & Agricultural Sciences. Pretoria, University of Pretoria. Piot, P. & Pinstrup-Andersen, P. (2002) 2001-2002 IFPRI Annual Report Essay AIDS: The New Challenge to Food Security. Washington DC, International Food Policy Research Institute.
Poulsen, H. (2006) The gendered impact of HIV/AIDS on education in South Africa and Swaziland: Save the Children's experiences. Gender & Development, 14, 47–56.
Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission.
Reid, P., Massey, R. & Vogel, C. (2005) Chapter Twenty-Five: Climate and Development:
Schulze, R. E. (2005c) Chapter One: Looking into the Future: Why Research Impacts of Possible Climate Change on Hydrological Responses in Southern Africa? In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission.
Experiences of Farmers in KwaZulu-Natal, South Africa. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Rosegrant, M. W. & Cline, S. A. (2003) Global Food Security: Challenges and Policies. Science, 302, 1917–1919. The Royal Society (2005) Food crops in a changing climate: Report of a Royal Society Discussion Meeting held in April 2005. Royal Society Policy Document 10/05. The Royal Society. Schulze, R. E. (2005a) Chapter Eight: The Southern African Quaternary Catchments Database: Refinements to, and Links with, the ACRU System as a Framework for Modelling Impacts of Climate Change on Water Resources. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Schulze, R. E. (2005b) Chapter Nine: An Assessment of Impacts of Climate Change on Agrohydrological Responses over Southern Africa. In Schulze, R. E. (Ed.)
Schulze, R. E. (2005d) Chapter Six: Setting the Scene: The Current Hydroclimatic “Landscape” in Southern Africa. In Schulze, R. E. (Ed.) Climate Change and Water Resources in Southern Africa: Studies on Scenarios, Impacts, Vulnerabilities and Adaptation. Pretoria, Water Research Commission. Sen, A. K. (1981) Poverty and famines: an essay on entitlement and deprivation, Oxford, Clarendon Press. Sterrett, C. (2007) Where has all the water gone? Understanding climate change from a community perspective Northern KwaZuluNatal, South Africa. Oxfam Australia. Swaminathan, M. S. (2000) Climate change and food security. In Gomez-Echeveri, C. (Ed.) Climate Change and Development. UNDP Regional Bureau for Latin. Thomas, D. S. G. & Twyman, C. (2005) Equity and justice in climate change adaptation amongst natural-resourcedependent societies. Global Environmental Change Part A, 15, 115 124.
Turpie, J., Winkler, H., Spalding-Fecher, R. & Midgley, G. (2002) Economic Impacts of Climate Change in South Africa: A Preliminary Analysis of Unmitigated Damage Costs. Cape. van Lieshout, M., Kovats, R. S., Livermore, M. T. J. & Martens, P. (2004) Climate change and malaria: analysis of the SRES climate and socio-economic scenarios. Global Environmental Change, 14, 87–99. USAID (2003) RCSA Food Security Strategic Option: Synthesis and Analysis of Selected Readings. Report prepared by Nathan and Associates for USAID Regional Centre for Africa. USAID. Vincent, K. (2004) Creating an index of social vulnerability to climate change for Africa. Working Paper 56. Norwich, Tyndall Centre for Climate Change Research. Vincent, K. (2007) Gendered vulnerability to climate change in Limpopo Province, South Africa. Unpublished Doctoral Thesis. Tyndall Centre for Climate Change Research School of Environmental Sciences. University of East Anglia. Zondi, T. (2004) Health Systems Trust Initiative for sub-district exit report for Umkhanyakude District Municipality, KwaZulu-Natal Province. March 2002 – September 2004. An end of project report on the Health Systems Trust’s commissioned role to facilitate the Rural District Health Systems Project (RDHSP) as per the European Union tender (Tender RT 1397 GP). Pietermarizburg, Health Systems Trust.
29
Contact details ZIMBABWE LIMPOPO BOTSWANA
NORTH WEST
Johannesburg
Klerksdorp
Upington
MPUMALANGA
GAUTENG
FREE STATE
Kimberley Bloemfontein
NORTHERN CAPE
Hoedspruit
Nelspruit
Pretoria
Mafikeng
NAMIBIA
Polokwane
LESOTHO
SWAZILAND
KWAZULU Hluhluwe NATAL Pietermaritzburg Durban
Umtata
ATLANTIC OCEAN
INDIAN OCEAN
EASTERN CAPE East London
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Oxfam Australia 132 Leicester Street, Carlton, Victoria, Australia 3053 Telephone +61 3 9289 9444
Port Elizabeth
Right: 95% of the population in UMkhanyakude district are rural dwellers and many households rely at least partially on subsistence agriculture to meet food requirements. Photo: Matthew Willman/OxfamAUS. Back cover: Workers heading home at the end of the day. Photo: Matthew Willman/OxfamAUS.
www.oxfam.org.au ABN 18 055 208 636 For more information on Oxfam Australia’s work in South Africa visit Oxfam KIC at http://hivaids.oxfamkic.org and click on the “Communities: Oxfam in South Africa” link. 30
31
Contact details ZIMBABWE LIMPOPO BOTSWANA
NORTH WEST
Johannesburg
Klerksdorp
Upington
MPUMALANGA
GAUTENG
FREE STATE
Kimberley Bloemfontein
NORTHERN CAPE
Hoedspruit
Nelspruit
Pretoria
Mafikeng
NAMIBIA
Polokwane
LESOTHO
SWAZILAND
KWAZULU Hluhluwe NATAL Pietermaritzburg Durban
Umtata
ATLANTIC OCEAN
INDIAN OCEAN
EASTERN CAPE East London
WESTERN CAPE Cape Town Mossel Bay
Oxfam Australia 132 Leicester Street, Carlton, Victoria, Australia 3053 Telephone +61 3 9289 9444
Port Elizabeth
Right: 95% of the population in UMkhanyakude district are rural dwellers and many households rely at least partially on subsistence agriculture to meet food requirements. Photo: Matthew Willman/OxfamAUS. Back cover: Workers heading home at the end of the day. Photo: Matthew Willman/OxfamAUS.
www.oxfam.org.au ABN 18 055 208 636 For more information on Oxfam Australia’s work in South Africa visit Oxfam KIC at http://hivaids.oxfamkic.org and click on the “Communities: Oxfam in South Africa” link. 30
31
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