Livelihood Security: Climate change, conflict and migration in - UNEP
Livelihood Security: Climate change, conflict and migration in - UNEP
Livelihood Security: Climate change, conflict and migration in - UNEP
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25°0'N<br />
20°0'N<br />
15°0'N<br />
10°0'N<br />
5°0'N<br />
0°0'<br />
Dakar<br />
Sa<strong>in</strong>t-Louis !<br />
T h e<br />
G a m b i a<br />
Nouakchott<br />
Map 1 . Geographical area covered <strong>in</strong> this study<br />
" !<br />
W a d i Khatt Atoui<br />
" !<br />
!<br />
!<br />
!<br />
!<br />
!<br />
!<br />
!<br />
! ! !<br />
"<br />
!<br />
"<br />
!<br />
" !<br />
!<br />
" !<br />
!<br />
"<br />
!<br />
! Thies<br />
"<br />
Diourbel<br />
Kayes<br />
Mopti<br />
Mbour Kaolack<br />
Z<strong>in</strong>der<br />
Serre Kunda<br />
Niamey<br />
Banjul<br />
Ségou<br />
Maradi<br />
!<br />
"<br />
Sokoto<br />
Bamako<br />
Zigu<strong>in</strong>chor<br />
Kats<strong>in</strong>a<br />
"<br />
Ouagadougou<br />
"<br />
Gusau<br />
Bissau<br />
Kano<br />
!<br />
G u i n e a -<br />
B i s s a u<br />
15°0'W<br />
S e n e g a l<br />
15°0'W<br />
Saloum<br />
Conakry<br />
C a p e V e r d e<br />
Gambia<br />
" !<br />
Freetown<br />
S e neg a l<br />
" !<br />
!<br />
Praia Scale: 1:7,000,000<br />
0 50<br />
km<br />
100<br />
M a u r i t a n i a<br />
Gu<strong>in</strong>ea<br />
Sierra Leone<br />
Sewa<br />
Ba f <strong>in</strong> g<br />
Monrovia<br />
" !<br />
Niger<br />
10°0'W<br />
B akoy<br />
Liberia<br />
Nuo n<br />
Cavally<br />
Sikasso<br />
!<br />
Bobo Dioulasso<br />
!<br />
1.1 Objectives <strong>and</strong> methodology<br />
This report has two complementary objectives:<br />
1) To analyze the historical climate trends <strong>in</strong> the<br />
region, identify hotspots, <strong>and</strong> determ<strong>in</strong>e the<br />
potential implications for natural resourcedependent<br />
livelihoods;<br />
2) To provide recommendations for improv<strong>in</strong>g<br />
<strong>conflict</strong> <strong>and</strong> <strong>migration</strong> sensitivity <strong>in</strong> adaptation<br />
plann<strong>in</strong>g, <strong>in</strong>vestments <strong>and</strong> policies across the<br />
region.<br />
The report’s f<strong>in</strong>d<strong>in</strong>gs <strong>and</strong> recommendations are<br />
based on a unique mapp<strong>in</strong>g process analyz<strong>in</strong>g<br />
climate trends over a 24 to 36-year period <strong>in</strong> the<br />
17 countries <strong>in</strong>cluded <strong>in</strong> the geographical scope of<br />
the study. The maps, which were produced through<br />
a technical cooperation with the University of Salzburg’s<br />
Centre for Geo<strong>in</strong>formatics, focus on four climate<br />
<strong>in</strong>dicators based on the best available data:<br />
Sass<strong>and</strong>ra<br />
Bani<br />
B<strong>and</strong>ama Blanc<br />
5°0'W<br />
Côte d'Ivoire<br />
Bouaké<br />
"<br />
Koss ou<br />
Res ervoir<br />
!<br />
Yamoussoukro<br />
Abidjan<br />
"<br />
Ghana<br />
La ke<br />
Kumasi<br />
Volta<br />
"<br />
Ashiaman<br />
!<br />
" !<br />
Accra<br />
!<br />
Takoradi<br />
"<br />
Isey<strong>in</strong> ! Oshogbo<br />
Makurdi<br />
" Ede "<br />
!<br />
! " Ado Okene<br />
Cameroon<br />
! ! !<br />
!<br />
Iwo<br />
"<br />
Abomey<br />
" !<br />
Ibadan<br />
Ife<br />
Ngaoundéré<br />
! Ilesha Akure<br />
! !<br />
!<br />
"<br />
!<br />
!<br />
Ikire<br />
Owo<br />
CILSS member states<br />
Abeokuta<br />
Cotonou Lagos<br />
Ondo<br />
! Ikorodu<br />
Enugu<br />
!<br />
"<br />
"<br />
"<br />
" Ben<strong>in</strong><br />
" !<br />
"<br />
Porto-Novo<br />
Onitsha Major Bamenda urban centres<br />
Lomé<br />
!<br />
Warri Umuahia<br />
" > 1,000,000<br />
" !<br />
!<br />
Aba Ikot Ekpene<br />
" !<br />
Bafoussam<br />
" > 500,000 - 1,000,000<br />
Port Harcourt<br />
"<br />
! > 250,000 - 500,000<br />
" Calabar<br />
Bertoua<br />
! > 100,000 - 250,000 (CILSS) !<br />
Douala<br />
!<br />
Malabo<br />
" < 100,000 (capitals)<br />
" !<br />
!<br />
Equatorial Dakar Capitals Yaoundé<br />
Gu<strong>in</strong>ea<br />
CILSS countries<br />
Atlantic Ocean<br />
<strong>Livelihood</strong> <strong>Security</strong>: <strong>Climate</strong> Change, Migration <strong>and</strong> Conflict <strong>in</strong> the Sahel<br />
B lack Volta<br />
Komoe<br />
Niger<br />
0 250<br />
500<br />
km<br />
1.000<br />
10°0'W<br />
B<strong>and</strong>ama<br />
La ke<br />
Fa guib<strong>in</strong>e<br />
5°0'W<br />
Black Volta<br />
M a l i<br />
White Volta<br />
B u r k i n a F a s o<br />
Red Volta<br />
0°0'<br />
!<br />
Tamale<br />
0°0'<br />
Vallée d u Tilemsi<br />
Wadi Tamanrasset<br />
Oti<br />
Volta<br />
Niger<br />
Togo<br />
Ben<strong>in</strong><br />
Algeria<br />
Vallée de l'Azaouak<br />
W a di Bosso<br />
Ogbomosho<br />
5°0'E<br />
Wadi Irharrhar<br />
Wad i Tam anrasset<br />
Ka<strong>in</strong>ji<br />
La ke<br />
5°0'E<br />
Niger<br />
Arlit<br />
!<br />
Agadez<br />
!<br />
Zaria<br />
Kaduna<br />
"<br />
"<br />
Jos<br />
"<br />
M<strong>in</strong>na<br />
!<br />
Abuja<br />
!<br />
Nigeria<br />
Sao Tome <strong>and</strong><br />
Pr<strong>in</strong>cipe<br />
Cross<br />
Wadi Tafassasset<br />
N i g e r<br />
Katsi n a Ala<br />
10°0'E<br />
Wadi Tegouma<br />
Bauchi<br />
!<br />
!<br />
Damaturu<br />
Wadi Dillia<br />
Gombe Mubi<br />
!<br />
!<br />
!<br />
Jimeta<br />
"<br />
Garoua<br />
"<br />
Bangui<br />
" !<br />
Bangui<br />
Background vector data: ESRI; FAO GeoNetwork; GAUL; GRUMP (alpha) Scale (ma<strong>in</strong> map): 1:17,000,000 for DIN A4 pr<strong>in</strong>ts<br />
" ! Background satellite data: NASA Blue Marble (2001)<br />
Reference system: Geographic coord<strong>in</strong>ates<br />
Datum: World Geodetic System 1984 (WGS 84)<br />
Ogooué<br />
B enue<br />
Sanaga<br />
Equatorial<br />
Gu<strong>in</strong>ea<br />
Komadugu Gana<br />
Base map<br />
Sanaga<br />
Iv <strong>in</strong> d o<br />
D ja<br />
Maiduguri<br />
precipitation (1970-2006), temperature (1970-<br />
2006), occurrence of drought (1982-2009), <strong>and</strong><br />
occurrence of flood<strong>in</strong>g (1985-2009). The potential<br />
impact of projected sea-level rise <strong>in</strong> the region is<br />
also mapped. The data is then comb<strong>in</strong>ed to identify<br />
potential “hotspots,” <strong>in</strong>clud<strong>in</strong>g areas where the<br />
most extreme <strong>change</strong>s <strong>in</strong> the four <strong>in</strong>dividual climate<br />
<strong>in</strong>dicators have taken place, as well as areas where<br />
the most cumulative <strong>change</strong> <strong>in</strong> these four climate<br />
<strong>in</strong>dicators has occurred. Each map <strong>in</strong>cludes two<br />
additional layers show<strong>in</strong>g population trends <strong>and</strong><br />
<strong>conflict</strong> occurrence dur<strong>in</strong>g the same time periods.<br />
Secondary sources <strong>and</strong> case studies are used to<br />
explore the challenges that livelihoods <strong>in</strong> the region<br />
face <strong>in</strong> relation to the climate trends observed <strong>in</strong><br />
the mapp<strong>in</strong>g process, <strong>and</strong> how these <strong>change</strong>s may<br />
l<strong>in</strong>k to <strong>migration</strong> <strong>and</strong> <strong>conflict</strong> dynamics.<br />
On the basis of the research described above, this<br />
report exam<strong>in</strong>es the relationship between climate<br />
<strong>change</strong>, <strong>migration</strong>, <strong>and</strong> <strong>conflict</strong>, highlight<strong>in</strong>g areas<br />
of particular <strong>in</strong>terest or where further research is<br />
" !<br />
!<br />
Maroua<br />
Libya<br />
Moundou<br />
!<br />
Congo<br />
Bahr el Ghazal<br />
C h a d<br />
Bahr Salamat<br />
Sarh<br />
!<br />
Wa di Te li Basal<br />
Wadi H aw ach<br />
Central African Republic<br />
Map description:<br />
Map production:<br />
Gabon<br />
Map gives an overview of the location of the CILSS (Permanent Inter-State Centre for Geo<strong>in</strong>formatics (Z_GIS),<br />
Committee for Drought Control <strong>in</strong> the Sahel) member states.<br />
University of Salzburg, Austria, October 2010<br />
O gooue<br />
Dja<br />
N'Djamena<br />
Ngoko<br />
Alim a<br />
Congo<br />
Sang h a<br />
Oubangui (Ubangi)<br />
Giri<br />
Congo<br />
Giri<br />
Giri<br />
Congo Congo<br />
Congo<br />
Congo<br />
Ikele m b a<br />
Ruki<br />
C ongo<br />
Lulonga<br />
Oubangui (Ubangi)<br />
Data sources: Cartographic <strong>in</strong>formation:<br />
Libreville<br />
10°0'E<br />
Iv<strong>in</strong>do<br />
15°0'E<br />
La ke<br />
Chad<br />
Alima<br />
15°0'E<br />
Ch a ri<br />
Logone<br />
Sang h a<br />
Congo<br />
O uham<br />
20°0'E<br />
L<strong>and</strong> cover<br />
Major wadis (non-perennial)<br />
Major rivers (perennial)<br />
Waterbodies<br />
Vegetation<br />
Bare l<strong>and</strong><br />
B usira<br />
20°0'E<br />
Congo<br />
Lopori<br />
Mar<strong>in</strong>ga<br />
Congo<br />
Salon ga<br />
Bolombo<br />
Yekokora<br />
Tshuapa<br />
Lomela<br />
Salonga<br />
Itimb iri<br />
Mar<strong>in</strong>ga<br />
Tshuapa<br />
13<br />
Lomela<br />
Itimbiri<br />
Congo<br />
´<br />
Congo<br />
25°0'N<br />
20°0'N<br />
15°0'N<br />
"<br />
10°0'N<br />
5°0'N<br />
U ele<br />
0°0'