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Community Based Adaptation in Africa
      (CBAA), the Case of Sudan
By:
Sumaya Ahmed Zakieldeen
   Community Based Adaptation in Africa (CBAA) is a
    regional non-government project involving eight African
    countries (Kenya, Sudan, Tanzania, Uganda, Malawi, South
    Africa, Zambia and Zimbabwe).
   CBAA objective is to help vulnerable communities to
    adapt to climate change and share lessons learned from
    project activities with key stakeholders at local, national,
    regional and international levels to elicit their support for
    climate change adaptation.
   The CBAA is implemented by the Sudanese Environment
    Conservation Society in partnership with other NGOs
    (Practical Action/Aydy Al-Nil
)
Methodology
   The CBAA is using a methodology that combine both Top-
    down and bottom-up approaches.

   Vulnerability assessment is an integral part of the
    methodology, to help select priority communities for the
    implementation of CBAA projects.

   The assessment takes into account a number of elements,
    including poverty, climatic factors, hazards and extreme events.

   The CBAA is working towards development of methodology
    for community based adaptation
Vulnerable States in the country
   The vulnerability assessment (top-down approach)
    identified number of states as highly vulnerable to climate
    change these were:
   Northern Kordofan
   Khartoum
   Kassala
   Gedaref and
   Red Sea
Project Site
Climatic factors
Over the past decades, livelihoods have been
    affected by:

   frequent drought cycles

   extreme fluctuations in rainfall

   Floods (torrential rains, seasonal streams)
SUDAN NORMAL RAINFALL IN MM FOR THE PERIOD 1941-1970 COMPARED
                        TO 1971-2000


                                                                                                                                         HAL
                                                                                   WHF
         22.00
                                                                                                                                                                     200
                                                                                                                                                                     mm
         20.00                                                                                           ABH
                                                                                                                                           ARB
                                                                                                                                            PSD
                                                                        DNG

                                                                                          KRM                                                     TKR
                                                                                                                                                        AQQ

         18.00                                                                                                  ATB
                                                                                                                HDB


                                                                                                          SHN


                                                                                                                                   ARM
         16.00                                                                                   SHM
                                                                                                 KHA
                                                                                                                             HLG
                                                                                                                                    KSL


                                                                                                         HAS
                                                                                                          WMD                 SHW
                                                                                                DUM                         GDF

         14.00      GEN
                                        FSH                            BAR
                                                                                                              SNR

                                                              KHW      OBD                        KST           UMB
                                                        NHD                                                      ABN

                                  NYL
                                                                                   RSH
         12.00                                                                                                        DMZ

                                                                                                                                                                      500
                                                                                                  RNK
                                                  BNS
                                                                 KDG



                                                                                                                                                                      mm
                                                                                                                    KUR



         10.00                                                                           MLK



                                                                                                        NSR
                                          RAG


          8.00                                     WAU


                                                                                                        PIB




          6.00                                                                                                                                                Meteorological
                                                          YAM
                                                                MAR          YEI         JUB
                                                                                                 TOR
                                                                                                              KAP

                                                                                                              NAG
                                                                                                                                                              Authority 2008
          4.00


                 22.00    24.00           26.00   28.00          30.00                   32.00                34.00           36.00               38.00
SUDAN RAINFALL COEFFICIENT OF VARIABILITY
IN PERCENTAGE FOR THE PERIOD (1971-2000)

                                                                                                                HAL

 22.00                                                              WHF




 20.00                                                                                 ABH
                                                                                                                   ARB
                                                                                                                    PSD
                                                            DNG

                                                                          KRM                                             TKR
                                                                                                                            AQQ

 18.00                                                                                       ATB
                                                                                             HDB

                                                                                       SHN

                                                                                                           ARM
 16.00                                                                          SHM
                                                                                KHA
                                                                                                         HLG KSL

                                                                                       HAS
                                                                                        WMD               SHW
                                                                              DUM                       GDF
 14.00      GEN             FSH                             BAR                             SNR
                                                    KHW    OBD                  KST          UMB
                                              NHD                                             ABN

                          NYL
                                                                  RSH
 12.00                                  BNS
                                                                                 RNK              DMZ

                                                      KDG
                                                                                                  KUR


 10.00                                                                  MLK


                                RAG                                                 NSR


  8.00                                   WAU

                                                                                      PIB



  6.00
                                                     MAR                JUB               KAP                                     Source:
                                                                                TOR
                                                YAM
                                                             8.00
                                                                                        NAG
                                                                                                                                  NAPA 2007
  4.00

         22.00    24.00         26.00   28.00         30.00             32.00               34.00        36.00        38.00
None-climatic Factors
   Poverty
   High illiteracy rate (70%)
   Mismanagement of natural resources (Over cultivation, over-
    grazing, deforestation etc.)
   Lack of income diversity
   Lack of agricultural inputs (Seeds, machinery, finance etc)
   Certain policies/regulations act as impediment to AC
   Conflict over resources (particularly between farmers and
    herders)
   Fires
   Others
Makahaya Village
 The community practise traditional rain-fed
  agriculture, they cultivate the following:
 Different varieties of sorghum
 Ground nuts
 Sesame
 Hibiscus sp. (Karkadey)
 Vegetables (Tomatoes, melons, cucumber, okra etc.)
- They keep few animals (mainly goats and donkeys
  (very important for carrying water).
The analysis at village level involved:


   Socio-economic analysis

   Existing institutions and services

   Indigenous knowledge for coping with climate change

   Power Linkages (policy relationships from village to state
    governor)
Stakeholder and Community participation


   Individual Interviews

   Visits and Surveys

   Focus Group discussion

   Participatory Rural Appraisal

   Interaction with local institutions
Participatory Rural Appraisal (bottom-up)


   Participatory Rural Appraisal
    Combination of methods
    were used to enable the
    village community to share,
    enhance and analyse their
    knowledge of their life and
    conditions as well as to plan
    and act.
Con..

   The stakeholders were
    able to identify climate
    change vulnerabilities
   They      were       able
    together to identify and
    plan     for     suitable
    adaptation options
   Community became the
    analysers    and       we
    became the facilitators
Con..

PRA Analysis of:
 water resources,
 vegetation cover
 and agricultural for the
  period between 1940
  and 2010
Vulnerability
Sectors that are extremely vulnerable:
 Water sector
 Agriculture
 Energy
Water Sector

Decrease of amount of rainfall
  and high variability of its
  distribution caused:
 Severe Shortage and lack of
  drinking water particularly
  during dry season
 High cost (time and money)
 Water-born diseases
Con..
Agriculture

   Fluctuation/reduction of production
   Deterioration of rangelands/loss of
    animals
   Lack of food security
   Cut of trees for charcoal production
    (however for subsistence)
   Migration to nearby towns and to
    agricultural schemes
   People were forced to adopt
    unfavourable seasonal activities
Energy

   Vegetation           cover
    deteriorated very much due
    to both climatic and none-
    climatic factors
   Women spend 3-4 hrs daily
    in collection of firewood
    from remote places
   Situation is getting worse
    and worse worries about
    near future
Identified Adaptation Options;
Water harvesting for drinking (additional Hafier and
  rehabilitation of existing ones)
Agriculture
 Water harvesting (terraces)
 Improvement of local indigenous knowledge of early
  seeding (locally know as Remeel)
 Introduction of drought resistant /early maturing
  varieties (okra, millet, sorghum etc.)
Con..
   Production of winter crops such as vegetables (Egg plants,
    water melon, tomatoes, cucumber), at the end of the
    rainy season in the course of one of Abu -Habel
    tributaries

Energy
 Introduction of petroleum liquid gas and improved stoves
Income increasing options

   Expansion of Karkady production (cash crop)
   Introduction sheep fattening for women for
    increasing family income/production of , meat,
    milk and butter
   Improvement of marketing
   other
Capacity Building
   Certain areas that require specific capacity building were
    identified
         - Water harvesting
         - winter cropping
         - improved stoves building
         - financial training for rotating small grants
         - other
-   Establishment of a new committee in the community
-   Fund raising for implementation of identified adaptation
    activities
Consultations with relevant institutions, NGOs
and Programmes
   Eco-peace project
   Forest National Cooperation
   Administration of agriculture, natural resources and
    animal wealth
   Practical Action/Aydy Al-Nil
   Sudanese Meteorological Society
   Others

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Community based adaptation, sudan regional consultation

  • 1. Community Based Adaptation in Africa (CBAA), the Case of Sudan By: Sumaya Ahmed Zakieldeen
  • 2. Community Based Adaptation in Africa (CBAA) is a regional non-government project involving eight African countries (Kenya, Sudan, Tanzania, Uganda, Malawi, South Africa, Zambia and Zimbabwe).  CBAA objective is to help vulnerable communities to adapt to climate change and share lessons learned from project activities with key stakeholders at local, national, regional and international levels to elicit their support for climate change adaptation.  The CBAA is implemented by the Sudanese Environment Conservation Society in partnership with other NGOs (Practical Action/Aydy Al-Nil )
  • 3. Methodology  The CBAA is using a methodology that combine both Top- down and bottom-up approaches.  Vulnerability assessment is an integral part of the methodology, to help select priority communities for the implementation of CBAA projects.  The assessment takes into account a number of elements, including poverty, climatic factors, hazards and extreme events.  The CBAA is working towards development of methodology for community based adaptation
  • 4. Vulnerable States in the country  The vulnerability assessment (top-down approach) identified number of states as highly vulnerable to climate change these were:  Northern Kordofan  Khartoum  Kassala  Gedaref and  Red Sea
  • 6. Climatic factors Over the past decades, livelihoods have been affected by:  frequent drought cycles  extreme fluctuations in rainfall  Floods (torrential rains, seasonal streams)
  • 7. SUDAN NORMAL RAINFALL IN MM FOR THE PERIOD 1941-1970 COMPARED TO 1971-2000 HAL WHF 22.00 200 mm 20.00 ABH ARB PSD DNG KRM TKR AQQ 18.00 ATB HDB SHN ARM 16.00 SHM KHA HLG KSL HAS WMD SHW DUM GDF 14.00 GEN FSH BAR SNR KHW OBD KST UMB NHD ABN NYL RSH 12.00 DMZ 500 RNK BNS KDG mm KUR 10.00 MLK NSR RAG 8.00 WAU PIB 6.00 Meteorological YAM MAR YEI JUB TOR KAP NAG Authority 2008 4.00 22.00 24.00 26.00 28.00 30.00 32.00 34.00 36.00 38.00
  • 8. SUDAN RAINFALL COEFFICIENT OF VARIABILITY IN PERCENTAGE FOR THE PERIOD (1971-2000) HAL 22.00 WHF 20.00 ABH ARB PSD DNG KRM TKR AQQ 18.00 ATB HDB SHN ARM 16.00 SHM KHA HLG KSL HAS WMD SHW DUM GDF 14.00 GEN FSH BAR SNR KHW OBD KST UMB NHD ABN NYL RSH 12.00 BNS RNK DMZ KDG KUR 10.00 MLK RAG NSR 8.00 WAU PIB 6.00 MAR JUB KAP Source: TOR YAM 8.00 NAG NAPA 2007 4.00 22.00 24.00 26.00 28.00 30.00 32.00 34.00 36.00 38.00
  • 9. None-climatic Factors  Poverty  High illiteracy rate (70%)  Mismanagement of natural resources (Over cultivation, over- grazing, deforestation etc.)  Lack of income diversity  Lack of agricultural inputs (Seeds, machinery, finance etc)  Certain policies/regulations act as impediment to AC  Conflict over resources (particularly between farmers and herders)  Fires  Others
  • 10. Makahaya Village  The community practise traditional rain-fed agriculture, they cultivate the following:  Different varieties of sorghum  Ground nuts  Sesame  Hibiscus sp. (Karkadey)  Vegetables (Tomatoes, melons, cucumber, okra etc.) - They keep few animals (mainly goats and donkeys (very important for carrying water).
  • 11. The analysis at village level involved:  Socio-economic analysis  Existing institutions and services  Indigenous knowledge for coping with climate change  Power Linkages (policy relationships from village to state governor)
  • 12. Stakeholder and Community participation  Individual Interviews  Visits and Surveys  Focus Group discussion  Participatory Rural Appraisal  Interaction with local institutions
  • 13. Participatory Rural Appraisal (bottom-up)  Participatory Rural Appraisal Combination of methods were used to enable the village community to share, enhance and analyse their knowledge of their life and conditions as well as to plan and act.
  • 14. Con..  The stakeholders were able to identify climate change vulnerabilities  They were able together to identify and plan for suitable adaptation options  Community became the analysers and we became the facilitators
  • 15. Con.. PRA Analysis of:  water resources,  vegetation cover  and agricultural for the period between 1940 and 2010
  • 16. Vulnerability Sectors that are extremely vulnerable:  Water sector  Agriculture  Energy
  • 17. Water Sector Decrease of amount of rainfall and high variability of its distribution caused:  Severe Shortage and lack of drinking water particularly during dry season  High cost (time and money)  Water-born diseases
  • 18. Con..
  • 19. Agriculture  Fluctuation/reduction of production  Deterioration of rangelands/loss of animals  Lack of food security  Cut of trees for charcoal production (however for subsistence)  Migration to nearby towns and to agricultural schemes  People were forced to adopt unfavourable seasonal activities
  • 20. Energy  Vegetation cover deteriorated very much due to both climatic and none- climatic factors  Women spend 3-4 hrs daily in collection of firewood from remote places  Situation is getting worse and worse worries about near future
  • 21. Identified Adaptation Options; Water harvesting for drinking (additional Hafier and rehabilitation of existing ones) Agriculture  Water harvesting (terraces)  Improvement of local indigenous knowledge of early seeding (locally know as Remeel)  Introduction of drought resistant /early maturing varieties (okra, millet, sorghum etc.)
  • 22. Con..  Production of winter crops such as vegetables (Egg plants, water melon, tomatoes, cucumber), at the end of the rainy season in the course of one of Abu -Habel tributaries Energy  Introduction of petroleum liquid gas and improved stoves
  • 23. Income increasing options  Expansion of Karkady production (cash crop)  Introduction sheep fattening for women for increasing family income/production of , meat, milk and butter  Improvement of marketing  other
  • 24. Capacity Building  Certain areas that require specific capacity building were identified - Water harvesting - winter cropping - improved stoves building - financial training for rotating small grants - other - Establishment of a new committee in the community - Fund raising for implementation of identified adaptation activities
  • 25. Consultations with relevant institutions, NGOs and Programmes  Eco-peace project  Forest National Cooperation  Administration of agriculture, natural resources and animal wealth  Practical Action/Aydy Al-Nil  Sudanese Meteorological Society  Others