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Mapping climate vulnerability and poverty in Africa Report to the Department for International Development submitted by The International Livestock Research Institute (ILRI) PO Box 30709, Nairobi 00100, Kenya in collaboration with The Energy & Resources Institute (TERI) India Habitat Centre, Lodhi Road, New Delhi 220 003, India and The African Centre for Technology Studies (ACTS) P.O. Box 45917, Nairobi, Kenya May 2006 1
Page 1: Mapping climate vulnerability and p
Page 5 and 6: Executive Summary The world’s cli
Page 7 and 8: Project Team At the International L
Page 9 and 10: Figures Figure 1. Representation of
Page 11 and 12: 1 Background The world’s climate
Page 13 and 14: pointing up the need for adaptation
Page 15 and 16: information on how current and futu
Page 17 and 18: sensitivity of the human environmen
Page 19 and 20: Figure 2. Systems approach - vulner
Page 21 and 22: The second stage was to characteriz
Page 23 and 24: meaningful way, so current rainfall
Page 25 and 26: Table 2. The Emissions Scenarios of
Page 27 and 28: need to be taken into account for m
Page 29 and 30: precision. An index of the 16 milli
Page 31 and 32: Figure 4. Estimated radiative forci
Page 33 and 34: Figure 6 for 2000, also at a resolu
Page 35 and 36: Figure 7 (A). Percentage changes in
Page 37 and 38: Figure 7 (C). Percentage changes in
Page 39 and 40: Figure 8 (A). Percentage changes in
Page 41 and 42: off-setting the wetter conditions,
Page 43 and 44: • Forest-based systems (cassava,
Page 45 and 46: Table 3. System codes used in the r
Page 47 and 48: Table 5. Country-by-system breakdow
Page 49 and 50: Figure 10. Areas within the LGA and
Page 51 and 52: Table 7. Country-by-system breakdow
Page 53 and 54:
The results of the analysis of numb
Page 55 and 56:
Figure12. Percentage of failed seas
Page 57 and 58:
clearly needed if useful classifica
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availability issues that limited ou
Page 61 and 62:
Type Indicator Descriptor Hypothesi
Page 63 and 64:
associated with each road arc, and
Page 65 and 66:
standard (National Center for Healt
Page 67 and 68:
The correlation matrix for the four
Page 69 and 70:
Table 10. Correlation matrix for th
Page 71 and 72:
Figure 13. Country-by-systems, show
Page 73 and 74:
5.3 Uncertainties in the analysis A
Page 75 and 76:
and inland water systems in the tro
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6. User needs Recent months have se
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Regarding the effects of climate ch
Page 81 and 82:
accuracy, and limited international
Page 83 and 84:
Institutional capacity needs assess
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another 33 % contribute through inf
Page 87 and 88:
for sectoral research in Africa. Re
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change quite rapidly, however, and
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in the specific context of impact a
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Again, the framework is generic; th
Page 95 and 96:
7. Conclusions Climate change poses
Page 97 and 98:
the human health perspective, but i
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Database (UNEP/GRID), and World Res
Page 101 and 102:
HDR (Human Development Report) (200
Page 103 and 104:
Mitchell T D (2003). Guidance notes
Page 105 and 106:
30 November 2004, 50 pp. Online at
Page 107 and 108:
Appendix 1. Inception workshop part
Page 109 and 110:
Appendix 3 Country by system table
Page 111 and 112:
Malawi 0.0 0.0 0.0 23.6 22.4 0.0 24
Page 113 and 114:
Kenya Forestry Research Institute(K
Page 115 and 116:
Note 1. Indicators of Adaptive Capa
Page 117 and 118:
Table 1. Determinants of adaptive c
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Agricultural dependency is measured
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3) Strong (unreclaimable at farm le
Page 123 and 124:
Based on the selected variables a d
Page 125 and 126:
Note 2. South-South Cooperation 123
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technology. This is an impediment f
Page 129 and 130:
Recently, a new variety of rice (NE
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References CLACC, 2005. www.clacc.n
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Note 3. Climate Change and Health i
Page 135 and 136:
5. The long time span of climate ch
Page 137 and 138:
Climate change and vector-borne dis
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Although the principal causes of ma
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another temporarily, seasonally or
Page 143 and 144:
Impacts, Adaptation and Vulnerabili
Page 145 and 146:
Note 4. The climate, development, a
Page 147 and 148:
The Third Assessment Report of the
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human carrying capacity was 13 pers
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2. Broader capacity building throug
Page 153 and 154:
Cooperation is needed in research,
Page 155 and 156:
Note 5. The Sub-Saharan Africa Chal
Page 157 and 158:
Table 1. Non-spatial criteria for a
Page 159 and 160:
Note 6. The ASARECA priority settin
Page 161 and 162:
• HLH: A small domain in terms of
Page 163 and 164:
Note 7. The SLP’s food-feed impac
Page 165 and 166:
that the user can select to map out
Page 167 and 168:
Note 8. The SAKSS poverty targettin
Page 169 and 170:
One tool that is being developed is
Page 171 and 172:
Note 9. Simulating regional product
Page 173:
Figure 1. Simulated rain-fed maize
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