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Reforestation
in
East Africa
Assessment of the Green
Belt Movement’s
Reforestation Efforts in
Kenya
Kenya
Kenya
The Crisis

       Population                Human              Environmental
        Growth                  Pressures            Degradation

• 39m population       • 1.7% forest cover    • Last 60 years
  (2009)               • Widespread             ridden with
• Projected growth       deforestation for      severe, cyclical
  to 65m by 2050         agriculture            droughts
• ~50% of the          • 50% of agriculture   • Chronic soil erosion
  population lives       is for subsistence   • Chronic water loss
  below poverty line     farming                from key
                       • 75% of domestic        watersheds
                         energy is derived    • Decrease in
                         from fuel wood         hydropower due
                                                to water loss
“It's a matter of life and death for this country. The
Kenyan forests are facing extinction and it is a man-
made problem.”                       Wangari Maathai
Wangari Mathaai’s
    Green Belt Movement

“The mission of the Green Belt Movement is to
mobilize community consciousness for self-
determination, equity, improved
livelihoods, security, and environmental
conservation.”
GBM Accomplishments
Planted over 45 million trees in three of
Kenya’s five watersheds

Created a network of 600 communities
across Kenya that care for 6,000 tree
nurseries

Reduced soil erosion in critical watersheds

Restored thousands of acres of biodiversity-
rich indigenous forests
Are GBM’s
efforts
effective?
Is GBM
operating in
areas most
suitable for
replanting?
Watershed Concept
                                    UPPER WATERSHEDS

                                         Upper Tana River (1)
                                         Upper Ewaso Ngiro (North) (2)
                                         Lake Nakuru, Lake Elementaita, and Lake Naivasha tributaries (3)
                                         Upper Ewaso Ngiro (South) (4)
                                         Upper western watersheds of the Mau Escarpment (5)
                                         Upper eastern watersheds of Mount Elgon (6)
                                         Upper southwestern watersheds of the Cherangani Hills (7)
                                         Upper northern watersheds of the Cherangani Hills (8)
                                    OTHER FEATURES
                                         Closed forests
                                    DRAINAGE BOUNDARIES
                                         Major drainage area boundaries
                                         Sub-drainage area boundaries
                                    WATER BODIES AND RIVERS
                                         Permanent rivers
                                         Water bodies




Source: World Resources Institute
Drivers
  Deforestation             Reforestation

Human settlement       Nutrition

Fuel wood              Food Security

Logging                Fuel wood

Subsistence farming    Biodiversity
Indicators of Drivers
                         Available         Relevance to Replanting        Suitable         Unsuitable
                         Data
                         Population        Indicator of anthropogenic     >100 ppl per     <100 ppl per km
Degradation




                         Density           impact - fuel wood             km
                                           gathering, agriculture, and
                                           illegal logging.
                         Charcoal/Fuel     Indicator of where potential   High charcoal    Low charcoal
                         Wood Sources      charcoal fuel sources are      fuel potential   fuel potential
                                           located
                         Mammal            Indicator of more complex      Medium to        Low mammal
          Biodiversity




                         Diversity         forest systems.                high mammal      diversity
                                                                          diversity



                         Poverty Density   Proxy for identifying the      >50 ppl per sq   <50 ppl per sq km
Nutrition
Security




                                           extent to which individuals    km
 Food

   &




                                           have access to adequate
                                           food and water supplies
Insufficient Data on Drivers
                          Available     Relevance to             Data Issue
                          Data          Replanting

                          Roads         Indicator of human       Insufficient data to be used as a credible
Degradation Degradation




                                        habitation. Roads        indicator of human population density.
                                        fragment habitat         Smaller/informal roads are excluded.
                                        and landscape.


                          Towns         Indicator of high-       Insufficient data to be used as a credible
Security/Nutr




                                        density areas where      indicator of all high-population density
                                        individuals are likely   areas.
& Food




                                        to have market
ition




                                        access

                          Agriculture   Indicator of land        Available agricultural data is not detailed
Degradation




                                        use for both             enough.
                                        subsistence and
                                        commercial
                                        agriculture
                                        activity.
                          Protected     Indicator of land        Protected status varies based on personnel
Biodiversity




                          Areas/Non-    protection status        management and the prevalence of
                          Protected                              corruption. GBM sources indicates replanting
                                                                 on public land, therefore they cannot be
                                                                 exclude from analysis.
Are GBM’s
efforts
effective?
Is GBM
operating in
areas most
suitable for
replanting?
Methodology
GBM watersheds: Mount        Comparison
Kenya (1), Aberdares            Forest cover
(3), and Mau Complex            between GBM
(5)                             watersheds &
                                control watersheds
Control watersheds:
Mount Elgon                  Suitability
(2), Cherengani Hills (4)
                                 Comparative analysis of
No data on specific              population
locations of reforestation       density, charcoal
sites                            source, poverty density &
                                 mammal diversity
Using spatial data, a            Each variable scored on
snap shot of Kenya               scale of 0-100
Comparative Analysis Methodology:
    Water Tower Boundaries
Comparative Analysis Methodology:
          Add Poverty
Comparative Analysis Methodology:
    Add Population Density
Comparative Analysis Methodology:
          Add Charcoal
Comparative Analysis Methodology:
          Intersect Data
Comparative Analysis Methodology:
          Intersect Data
Comparative Analysis Methodology:
          Intersect Data
Comparative Analysis Results
                              25

                                   21.89

                              20                                        18.74
 Average Percent Tree Cover




                                                                16.03
                                                     15.26
                              15




                              10
                                           8.33



                               5




                               0
                                    1       2         3          4       5
                                                  Water Tower
Comparative Analysis Results
                              25

                                   21.89

                              20                                        18.74
 Average Percent Tree Cover




                                                                16.03
                                                     15.26
                              15




                              10
                                           8.33



                               5




                               0
                                    1       2         3          4       5
                                                  Water Tower
Are GBM’s
efforts
effective?
Is GBM
operating in
areas most
suitable for
replanting?
Reforestation Suitability Analysis

      +        +
Reforestation Suitability Analysis

      +        +        *(           )
Reforestation Suitability Analysis

(         +        +        )*




=
Site Suitability Findings



Water Tower 1   Water Tower   2   Water Tower 3




Water Tower 4   Water Tower   5
Site Suitability Findings



Water Tower 1   Water Tower   2   Water Tower 3




Water Tower 4   Water Tower   5
What this means
In our comparison, there is a significant
forested area between the GBM watersheds
and control GBM (if all other factors hold
constant)

It appears GBM is working in the watersheds
that are most suitable for reforestation efforts
Reflections
What are the implications of this study in
other countries? Somalia? World-wide?

Plant trees where people are, for the people
to use and benefit from them!

What is the role of government?
Photocredits
greenbeltmovement.org

Brian Thomas, carbon-based-ghg.blogspot.com

BBC News, bbc.co.uk/news/

Mathilde Guillemot, boostinspiration.com

Creative Roots, afroklectic.blogspot.com

Art Poster, kenya-advisor.com

yesbuthowever.com/

twohoursfromlondon.blogspot.com

L Fred Ericks, BBC News, bbc.co.uk/news/

Google Earth, morriscourse.com

The Rainforest Foundation, earthhopenetwork.net

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Reforestation in East Africa

  • 1. Reforestation in East Africa Assessment of the Green Belt Movement’s Reforestation Efforts in Kenya
  • 2.
  • 5.
  • 6. The Crisis Population Human Environmental Growth Pressures Degradation • 39m population • 1.7% forest cover • Last 60 years (2009) • Widespread ridden with • Projected growth deforestation for severe, cyclical to 65m by 2050 agriculture droughts • ~50% of the • 50% of agriculture • Chronic soil erosion population lives is for subsistence • Chronic water loss below poverty line farming from key • 75% of domestic watersheds energy is derived • Decrease in from fuel wood hydropower due to water loss
  • 7.
  • 8. “It's a matter of life and death for this country. The Kenyan forests are facing extinction and it is a man- made problem.” Wangari Maathai
  • 9. Wangari Mathaai’s Green Belt Movement “The mission of the Green Belt Movement is to mobilize community consciousness for self- determination, equity, improved livelihoods, security, and environmental conservation.”
  • 10. GBM Accomplishments Planted over 45 million trees in three of Kenya’s five watersheds Created a network of 600 communities across Kenya that care for 6,000 tree nurseries Reduced soil erosion in critical watersheds Restored thousands of acres of biodiversity- rich indigenous forests
  • 11. Are GBM’s efforts effective? Is GBM operating in areas most suitable for replanting?
  • 12. Watershed Concept UPPER WATERSHEDS Upper Tana River (1) Upper Ewaso Ngiro (North) (2) Lake Nakuru, Lake Elementaita, and Lake Naivasha tributaries (3) Upper Ewaso Ngiro (South) (4) Upper western watersheds of the Mau Escarpment (5) Upper eastern watersheds of Mount Elgon (6) Upper southwestern watersheds of the Cherangani Hills (7) Upper northern watersheds of the Cherangani Hills (8) OTHER FEATURES Closed forests DRAINAGE BOUNDARIES Major drainage area boundaries Sub-drainage area boundaries WATER BODIES AND RIVERS Permanent rivers Water bodies Source: World Resources Institute
  • 13. Drivers Deforestation Reforestation Human settlement Nutrition Fuel wood Food Security Logging Fuel wood Subsistence farming Biodiversity
  • 14. Indicators of Drivers Available Relevance to Replanting Suitable Unsuitable Data Population Indicator of anthropogenic >100 ppl per <100 ppl per km Degradation Density impact - fuel wood km gathering, agriculture, and illegal logging. Charcoal/Fuel Indicator of where potential High charcoal Low charcoal Wood Sources charcoal fuel sources are fuel potential fuel potential located Mammal Indicator of more complex Medium to Low mammal Biodiversity Diversity forest systems. high mammal diversity diversity Poverty Density Proxy for identifying the >50 ppl per sq <50 ppl per sq km Nutrition Security extent to which individuals km Food & have access to adequate food and water supplies
  • 15. Insufficient Data on Drivers Available Relevance to Data Issue Data Replanting Roads Indicator of human Insufficient data to be used as a credible Degradation Degradation habitation. Roads indicator of human population density. fragment habitat Smaller/informal roads are excluded. and landscape. Towns Indicator of high- Insufficient data to be used as a credible Security/Nutr density areas where indicator of all high-population density individuals are likely areas. & Food to have market ition access Agriculture Indicator of land Available agricultural data is not detailed Degradation use for both enough. subsistence and commercial agriculture activity. Protected Indicator of land Protected status varies based on personnel Biodiversity Areas/Non- protection status management and the prevalence of Protected corruption. GBM sources indicates replanting on public land, therefore they cannot be exclude from analysis.
  • 16. Are GBM’s efforts effective? Is GBM operating in areas most suitable for replanting?
  • 17. Methodology GBM watersheds: Mount Comparison Kenya (1), Aberdares Forest cover (3), and Mau Complex between GBM (5) watersheds & control watersheds Control watersheds: Mount Elgon Suitability (2), Cherengani Hills (4) Comparative analysis of No data on specific population locations of reforestation density, charcoal sites source, poverty density & mammal diversity Using spatial data, a Each variable scored on snap shot of Kenya scale of 0-100
  • 18. Comparative Analysis Methodology: Water Tower Boundaries
  • 20. Comparative Analysis Methodology: Add Population Density
  • 25. Comparative Analysis Results 25 21.89 20 18.74 Average Percent Tree Cover 16.03 15.26 15 10 8.33 5 0 1 2 3 4 5 Water Tower
  • 26. Comparative Analysis Results 25 21.89 20 18.74 Average Percent Tree Cover 16.03 15.26 15 10 8.33 5 0 1 2 3 4 5 Water Tower
  • 27. Are GBM’s efforts effective? Is GBM operating in areas most suitable for replanting?
  • 31. Site Suitability Findings Water Tower 1 Water Tower 2 Water Tower 3 Water Tower 4 Water Tower 5
  • 32. Site Suitability Findings Water Tower 1 Water Tower 2 Water Tower 3 Water Tower 4 Water Tower 5
  • 33. What this means In our comparison, there is a significant forested area between the GBM watersheds and control GBM (if all other factors hold constant) It appears GBM is working in the watersheds that are most suitable for reforestation efforts
  • 34. Reflections What are the implications of this study in other countries? Somalia? World-wide? Plant trees where people are, for the people to use and benefit from them! What is the role of government?
  • 35. Photocredits greenbeltmovement.org Brian Thomas, carbon-based-ghg.blogspot.com BBC News, bbc.co.uk/news/ Mathilde Guillemot, boostinspiration.com Creative Roots, afroklectic.blogspot.com Art Poster, kenya-advisor.com yesbuthowever.com/ twohoursfromlondon.blogspot.com L Fred Ericks, BBC News, bbc.co.uk/news/ Google Earth, morriscourse.com The Rainforest Foundation, earthhopenetwork.net

Editor's Notes

  1. Kenya
  2. Kenya
  3. Bottom line here: HUMAN SETTLEMENT AND PRESSURES!!!PopulationFour fold increase in population since the 1950s, with an expected growth to 65m by 2050Densest rural population Human PressuresKenya is size of Texasloss of 19,000 hectares annuallyEnvironmental Degradation
  4. Driven by dependence on forest products, or land clearing for agricultural use
  5. Non-governmental organization founded in 1977Enable and support women to operate tree nurseries, receiving a payment for the number of trees planted