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CLIMIGRATION AND LAKE CHAD: AN EXAMPLE FROM NIGERIA EDIANG O A,EDIANG A. A,SHOLADEMI M.O(MRS),EKHAMEYE P.O NIGERIAN METEOROLOGICAL AGENCY PMB1215 OSHODI LAGOS NIGERIA. +2347033466011 EDIANG2000@YAHOO.COM The hydrological basin of lake Chad is shared between Algeria,Cameroon,Central Africa Republic,Chad,Niger,Nigeria,Sudan and some extend Libya.In the last four decades, the hydrological regimes of lake Chad has changed.The changes apparently reduced the water supply security for the population and economy(fishery and food production) in the Chad basin. The decline in the lake level is attributed to reduced rainfall(as result of the recent climate change) and Droughts. The research paper conclude that there is teleconnection between climigration in Nigeria and lake Chad. This is evidence because climate change in Nigeria is having a very real impact and needs urgent attention especially in internal displacement of its people and one of the easieiest ways of adapting to climate variability in Nigeria is internal migration. INTRODUCTION DEFINITION Climigration has been coined as a word to describe this type of displacement. Climigration occurs when a community is no longer. Sustainable exclusively because of climate-related events and permanent relocation is required to protect people. The Critical elements are that climatic events are on-going and repeatedly impact public. Infrastructure and threaten people’s safety so that loss of life is possible. Drought is defined variously as follows: 1. Meteorologically: As rainless situation for an extended period during which some precipitation should normally have been received depending on location and season. II. Agricultural: As a shortage of soil moisture available to crop

CLIMIGRATION AND LAKE CHAD: AN EXAMPLE FROM NIGERIA<br />

EDIANG O A,EDIANG A. A,SHOLADEMI M.O(MRS),EKHAMEYE P.O<br />

NIGERIAN METEOROLOGICAL AGENCY<br />

PMB1215 OSHODI LAGOS<br />

NIGERIA.<br />

+2347033466011<br />

EDIANG2000@YAHOO.COM<br />

The hydrological basin of <strong>lake</strong> Chad is shared between Algeria,Cameroon,Central<br />

Africa Republic,Chad,Niger,Nigeria,Sud<strong>an</strong> <strong><strong>an</strong>d</strong> some extend Libya.In the last four<br />

decades, the hydrological regimes of <strong>lake</strong> Chad has ch<strong>an</strong>ged.The ch<strong>an</strong>ges<br />

apparently reduced the water supply security for the population <strong><strong>an</strong>d</strong><br />

economy(fishery <strong><strong>an</strong>d</strong> food production) in the Chad basin. The decline in the <strong>lake</strong><br />

level is attributed to reduced rainfall(as result of the recent climate ch<strong>an</strong>ge) <strong><strong>an</strong>d</strong><br />

Droughts. The research paper conclude that there is teleconnection between<br />

<strong>climigration</strong> in Nigeria <strong><strong>an</strong>d</strong> <strong>lake</strong> Chad. This is evidence because climate ch<strong>an</strong>ge in<br />

Nigeria is having a very real impact <strong><strong>an</strong>d</strong> needs urgent attention especially in internal<br />

displacement of its people <strong><strong>an</strong>d</strong> one of the easieiest ways of adapting to climate<br />

variability in Nigeria is internal migration.<br />

INTRODUCTION<br />

DEFINITION<br />

Climigration has been coined as a word to describe this type of displacement.<br />

Climigration occurs when a community is no longer. Sustainable exclusively<br />

because of climate-related events <strong><strong>an</strong>d</strong> perm<strong>an</strong>ent relocation is required to<br />

protect people. The Critical elements are that climatic events are on-going<br />

<strong><strong>an</strong>d</strong> repeatedly impact public. Infrastructure <strong><strong>an</strong>d</strong> threaten people’s safety so<br />

that loss of life is possible.<br />

Drought is defined variously as follows:<br />

1. Meteorologically: As rainless situation for <strong>an</strong> extended period during<br />

which some precipitation should normally have<br />

been received depending on location <strong><strong>an</strong>d</strong> season.<br />

II. Agricultural: As a shortage of soil moisture available to crop


which results in considerable yield reduction.<br />

III. Hydrologically: As being responsible for depression of surface <strong><strong>an</strong>d</strong><br />

underground water levels or diminution of stream<br />

flow.<br />

AREA OF STUDY<br />

The <strong>Lake</strong> Chad (GIWA region 43) situated in central Africa between 6 0 –<br />

24 0 N <strong><strong>an</strong>d</strong> 8 0 – 24 0 E is a vast exp<strong>an</strong>se of l<strong><strong>an</strong>d</strong> of several catchments. The<br />

geographical basin covers <strong>an</strong> area of 2434000km 2 which represents 8% of<br />

surface area of the Afric<strong>an</strong> Continent. This geographical basin is shared<br />

between countries of Algeria, Cameroon Central Republic (CAR), Chad,<br />

Libya, Niger, Nigeria <strong><strong>an</strong>d</strong> Sud<strong>an</strong> with area coverage per country (Eros Daba<br />

Centre, 2002).FIG 1.<br />

PHYSICAL SITUATION:<br />

The region is bounded to the north by the Ahaggar mountains in Algeria,<br />

<strong>from</strong> this summit, the border descends southwards towards the Tibesti<br />

Highl<strong><strong>an</strong>d</strong> that forms the border between Libya <strong><strong>an</strong>d</strong> Chad, <strong><strong>an</strong>d</strong> continues to<br />

about 19 0 N near the Djebed Mara Volc<strong>an</strong>ic Mountains in Sud<strong>an</strong>. The<br />

Southern border is define by the Mongos Hills in CAR <strong><strong>an</strong>d</strong> the Adamawa<br />

mountains at about 6 0 N <strong><strong>an</strong>d</strong> further west by the M<strong><strong>an</strong>d</strong>aras. In the Northern<br />

Cameroon at the proximately 10 0 N. The Jos Plateau marks the Western<br />

boundary in the Nigeri<strong>an</strong> Sector of the basin <strong><strong>an</strong>d</strong> further north the Air<br />

Plateau in Niger.<br />

Climate Situation<br />

The conventional Basin of <strong>lake</strong> Chad area is divided in three climatic<br />

regions:<br />

- Sahara Zone at the North is desert climate with low <strong>an</strong>imal rainfall<br />

(less th<strong>an</strong> 200mm) <strong><strong>an</strong>d</strong> variables temperature (maximum 47 0 C <strong><strong>an</strong>d</strong><br />

12 0 C minimum)<br />

- Saheli<strong>an</strong> Zone between the 12 – 16 th North Parallels with rainfall <strong>from</strong><br />

200 – 700mm.<br />

- Sud<strong>an</strong>ese Zone characterized by a semi <strong><strong>an</strong>d</strong> to humid climate. The<br />

rainfall varies between 700 – 1200mm <strong><strong>an</strong>d</strong> the me<strong>an</strong> temperature is<br />

about 280C lowest humidity is 51% while the highest is 96%.


The study also covers 123 stations in the Sud<strong>an</strong>o-Sahdi<strong>an</strong> part of Nigeria.<br />

All the twelve stations have two distinct seasons of dry <strong><strong>an</strong>d</strong> wet periods Dry<br />

season covers up to a period of about seven (7) to eight (8) months <strong>from</strong><br />

October to April / May, while the wet season is about four (4) to five(5)<br />

months <strong>from</strong> May to September.<br />

Dry Season lasts longer th<strong>an</strong> the rainy season in this region study where<br />

agricultural activities are the mainstay of the economy. So, a clear<br />

underst<strong><strong>an</strong>d</strong>ing of these phenomena will go along way in reducing the<br />

negative consequences on pl<strong>an</strong>t <strong><strong>an</strong>d</strong> <strong>an</strong>imals, <strong><strong>an</strong>d</strong> migration of hum<strong>an</strong> beings.<br />

As pointed out by Obasi (1997) climate shape our culture, m<strong>an</strong>y of our<br />

settlements <strong><strong>an</strong>d</strong> all our l<strong><strong>an</strong>d</strong>. Sealps, it largely determines food production<br />

<strong><strong>an</strong>d</strong> its variability also causes famine.<br />

AIMS AND OBJECTIVES<br />

(1) Who is migrating away <strong>from</strong> situations of environmental degradation /<br />

ch<strong>an</strong>ge?<br />

(2) Where are environmentally induced migr<strong>an</strong>ts coming <strong>from</strong> <strong><strong>an</strong>d</strong> where<br />

are they going to?<br />

(3) Why have people migrated? (i.e what role has environmental<br />

degradation or ch<strong>an</strong>ge played?]<br />

(4) How does environmental degradation interplay with other social,<br />

economic <strong><strong>an</strong>d</strong> political factors in decisions about migrating?<br />

(5) What might prevent people <strong>from</strong> migrating when they are faced with<br />

environmental degradation (i.e what assist<strong>an</strong>ce was needed, what was<br />

lacking]<br />

(6) What is the role of people’s perception of environmental degradation<br />

in triggering them to move?<br />

(7) Why do some people remain in areas of environmental degradation /<br />

ch<strong>an</strong>ge while others migrate? [i.e what are their coping/adaption<br />

strategies <strong><strong>an</strong>d</strong> capacities].


(8) How does environmentally induced migration occur. (e.g choice of<br />

destination networks used] [EACH-FOR-2009, project conducted<br />

field work in six regions of the world].<br />

KEY FINDINGS<br />

Norm<strong>an</strong> Mysers <strong><strong>an</strong>d</strong> Cardy (1994) has reviewed the possible impact of<br />

global warming <strong><strong>an</strong>d</strong> ch<strong>an</strong>ge on migration pressures <strong><strong>an</strong>d</strong> suggested that there<br />

might be as m<strong>an</strong>y as 150 million environmental refuges by the year 2050.<br />

This would represent <strong>an</strong> increase of 1.5% of the then world population<br />

compared with 02% at present also future climate migration will take place<br />

against a background of unprecedented ch<strong>an</strong>ges in the number <strong><strong>an</strong>d</strong><br />

distribution of the world’s population. The Global Population is currently<br />

growing at <strong>an</strong> <strong>an</strong>nual rate of 1.1% <strong><strong>an</strong>d</strong> is predicted to peak at 9.075 billion<br />

by 2050 [<strong>from</strong> its 2005 level of 6.54 billion], Oli Brown (2009) while one of<br />

the easiest ways of adapting to climate variability in Nigeria is internal<br />

migration, Ujah Oliver Chinedu [2009].<br />

ENVIRONMENTAL CONSEQUENCES ASSOCIATED WITH<br />

CLIMATE CHANGE<br />

The decline in the <strong>lake</strong> level is attributed to reduced rainfall [as result of the<br />

recent climatic ch<strong>an</strong>ge], <strong><strong>an</strong>d</strong> droughts [ according to Nichola (1980 in Goni,<br />

2002]<strong>from</strong> the historical record there are records of droughts <strong>from</strong> 1680 – 90,<br />

1730 – 60 <strong><strong>an</strong>d</strong> 1820 – 40 in addition to the recent drought during the 1970s]<br />

as well as abstractions <strong>from</strong> influent rivers, excessive evaporation (2000 to<br />

3000mm/year), <strong><strong>an</strong>d</strong> greatly increased amount of irrigation water being<br />

drawn <strong>from</strong> the <strong>lake</strong>. Since the <strong>lake</strong> levels are import<strong>an</strong>t for regional<br />

hydrological investigations [masson et al; 1994). <strong>Lake</strong> Chad is very shallow<br />

with <strong>an</strong> average depth of 11 meters <strong><strong>an</strong>d</strong> maximum water level of about 283<br />

meters above sea level. FIG 1<br />

In Nigeria, agricultural yields r<strong>an</strong>ged 12 <strong><strong>an</strong>d</strong> 40% of the <strong>an</strong>nual averages<br />

(Oguntoyinbo <strong><strong>an</strong>d</strong> Richard, 1977) during the drought. Also Khaili (1974)<br />

estimated that about 300,00 <strong>an</strong>imals, representing about 13% of the total<br />

livestock population of the Northern Eastern State [Now Adamawa, Bauchi,<br />

Borno, Taraba <strong><strong>an</strong>d</strong> Yobe states] perished during the 1973 drought. The<br />

drastic reduction in water volume at both K<strong>an</strong>ji <strong>Lake</strong> <strong><strong>an</strong>d</strong> <strong>Lake</strong> Chad during<br />

the same drought resulted in only about 10,000 tons of fish caught in 1973 as<br />

compared to <strong>an</strong> average <strong>an</strong>nual of 28,000 tons [Mijidadi <strong><strong>an</strong>d</strong> Adegbehin,<br />

1991]. Similarly, during the 1972-73 drought for <strong>example</strong> 75,000 inhabit<strong>an</strong>ts<br />

of Mali <strong><strong>an</strong>d</strong> Niger bought refuge in the Algeri<strong>an</strong> Sahara. In the 1984 – 85


drought as m<strong>an</strong>y as 40,000 also left their houses. During the latest drought of<br />

the nioties, <strong>an</strong> estimated two mullion people left their hosues <strong>from</strong> five<br />

Sahili<strong>an</strong> countries – Burkina Faso, Mali Maurit<strong>an</strong>ia, Niger <strong><strong>an</strong>d</strong> Chad.<br />

Nouakchott, the capital of Murit<strong>an</strong>ia Saw is population increase fourfold in<br />

1985. FIG.2.<br />

SOCIO-ECONOMIC CHARATERISTICS<br />

The main activities predomin<strong>an</strong>t within the conventional basin are notaly (a)<br />

Agriculture, <strong>an</strong>imal husb<strong><strong>an</strong>d</strong>ry <strong><strong>an</strong>d</strong> fishery. All these activities are closely<br />

tied to the water resources within the basin. The agriculturists are Sedentary<br />

whereas traditional <strong>an</strong>imal husb<strong><strong>an</strong>d</strong>ry is mainly nomadic. The number of<br />

<strong>an</strong>imals within the conventional basin increases continuously. The fishery is<br />

mainly traditional <strong><strong>an</strong>d</strong> is practiced on the rivers <strong><strong>an</strong>d</strong> streams, the <strong>Lake</strong> Chad,<br />

Ponds <strong><strong>an</strong>d</strong> flood plain.<br />

The country member states of LCBC are among the poorest in the world <strong><strong>an</strong>d</strong><br />

are characterize by extremely slow <strong><strong>an</strong>d</strong> variable economic growth (eg. Chad<br />

was r<strong>an</strong>ked 155 th out of 162 countries according to UNDP’s hum<strong>an</strong><br />

Development index, with per capital income of only 2008US. Also inf<strong>an</strong>t,<br />

the 1999 UNDP’s Hum<strong>an</strong> Development report <strong><strong>an</strong>d</strong> the Nigeri<strong>an</strong> Hum<strong>an</strong><br />

development report (Ebosele <strong><strong>an</strong>d</strong> Sofala, 1999) revealed that Nigeria r<strong>an</strong>ked<br />

among the 25 poorest nation in the world. That was a remarkable departure<br />

<strong>from</strong> its previous r<strong>an</strong>k among the richest countries in the world; Ebosele <strong><strong>an</strong>d</strong><br />

Sololo 1999:15). In other words, the number of people living below the<br />

poverty line increased <strong>from</strong> 43% in 1992 to over 65% in 1997 (Okun-<br />

Madewa 1995). Thus poverty is the primary threat to food insecurity.<br />

MAJOR PROBLEMS OF THE LAKE CHAD BASIN<br />

The major problems of the <strong>Lake</strong> Chad Basin includes Rainfall Pattern, water<br />

bal<strong>an</strong>ce, soil type, drought <strong><strong>an</strong>d</strong> desertification, environmental degradation,<br />

population, poverty level, Absence of water policies, institutional weakness.<br />

Only few of these problems will be explain.<br />

Institution Weakness<br />

- Poor M<strong>an</strong>agement Negative Competition for resources<br />

- Diminishing resources base [natural constraints]<br />

- No legal instrument to facilitate tr<strong>an</strong>s-boundary m<strong>an</strong>agement<br />

- Inadequate Funding<br />

Environmental Degradation


The natural cause highlighted above together with m<strong>an</strong>-made. Causes such<br />

as upstream dam construction, l<strong><strong>an</strong>d</strong> degradation, soil erosion deforestation<br />

<strong><strong>an</strong>d</strong> bush burning have erected serious environmental degradation problems.<br />

Population<br />

Population growth is <strong>an</strong>other major problem in the basin. By the year 2025<br />

the population of the basin is projected to be over 36 million <strong>from</strong> the<br />

current figure of 22 million. Population explosion <strong><strong>an</strong>d</strong> migration in pursuit<br />

of me<strong>an</strong>s of livelihood by the Pastoralists, fisherm<strong>an</strong> <strong><strong>an</strong>d</strong> environmental<br />

refuges as a result of desertification lead to competitions for scare water<br />

resources in the basin resulting into conflict.<br />

Conclusion<br />

Climate ch<strong>an</strong>ge will signific<strong>an</strong>tly affect migration in three distinct ways.<br />

First, the effects of warming <strong><strong>an</strong>d</strong> drying in some regions will reduce<br />

agricultural potential <strong><strong>an</strong>d</strong> undermine ecosystem services such as cle<strong>an</strong> water<br />

<strong><strong>an</strong>d</strong> fertile soil. Second, the increase in extreme weather events – in<br />

particular, heavy precipitation <strong><strong>an</strong>d</strong> resulting flash or river floods in tropical<br />

regions – will affect ever more people <strong><strong>an</strong>d</strong> generate mass displacement.<br />

Finally, sea-level rise will perm<strong>an</strong>ently destroy extensive <strong><strong>an</strong>d</strong> highly<br />

productive low-lying coastal areas that are home to millions of people who<br />

will have to relocate perm<strong>an</strong>ently.<br />

In conclusion, the <strong>an</strong>alysis show that migration propensities are higher in<br />

districts with more natural resources scarcity <strong><strong>an</strong>d</strong> that migration did not<br />

increase in times of environmental stress in the source areas of migration<br />

due to adverse economic conditions in the prime destination area.<br />

The picture that emerges <strong>from</strong> Northern Nigeria close to <strong>Lake</strong> Chad is not<br />

one of distress migration in the face of environmental disaster. The<br />

environmental driver of migration <strong>from</strong> Northern Nigeria close to <strong>Lake</strong>


Chad appears to be structural scarcity rather th<strong>an</strong> degradation.<br />

MIN. TEMPERATURE(oC)<br />

MIN. TEMPERATURE(oC)<br />

MAXIMUM TEMPERATURE(oC)<br />

MIN. TEMPERATURE(oC)<br />

22.5<br />

21.5<br />

20.5<br />

19.5<br />

24<br />

23.5<br />

23<br />

22.5<br />

22<br />

21.5<br />

21<br />

FIG 1.<br />

22<br />

21<br />

20<br />

1951<br />

33<br />

32<br />

31<br />

30<br />

29<br />

22.5<br />

22<br />

21.5<br />

21<br />

20.5<br />

20<br />

1951<br />

1951<br />

1954<br />

1951<br />

1953<br />

1954<br />

1955<br />

1954<br />

1957<br />

1957<br />

1957<br />

1957<br />

1959<br />

1961<br />

1960<br />

1960<br />

MAXIMUM TEMPERATURE FOR SOUTHERN STATIONS<br />

1963<br />

1965<br />

1967<br />

1969<br />

1971<br />

1973<br />

1975<br />

1977<br />

YEARS<br />

1979<br />

1981<br />

1983<br />

1985<br />

1987<br />

y = 0.0251x + 30.603<br />

MEAN MINIMUM TEMPERATURE OVER NIGERIA<br />

1963<br />

1966<br />

1969<br />

1972<br />

1975<br />

1978<br />

YEARS<br />

1981<br />

1984<br />

1987<br />

1989<br />

1990<br />

1991<br />

1993<br />

1993<br />

1995<br />

1997<br />

1999<br />

y = 0.0293x + 20.43<br />

MINIMUM TEMPERATURE FOR NORTHERN STATIONS<br />

1963<br />

1966<br />

1969<br />

1972<br />

1975<br />

1978<br />

YEARS<br />

MINIMUM TEMPERATURE FOR SOUTHERN STATIONS<br />

1960<br />

1963<br />

1966<br />

1969<br />

1972<br />

1975<br />

1978<br />

YEARS<br />

1981<br />

1981<br />

1984<br />

1984<br />

1987<br />

1987<br />

1996<br />

1990<br />

1999<br />

1990<br />

2001<br />

2002<br />

2003<br />

1993<br />

1993<br />

2005<br />

2005<br />

TMAX<br />

MEAN<br />

Linear (TMAX)<br />

Min<br />

Me<strong>an</strong><br />

Linear (Min)<br />

y = 0.0209x + 19.763<br />

1996<br />

1999<br />

2002<br />

y = 0.0251x + 21.622<br />

1996<br />

1999<br />

2002<br />

2005<br />

2005<br />

TMIN<br />

MEAN<br />

Linear (TMIN)<br />

TMIN<br />

MEAN<br />

Linear (TMIN)


Me<strong>an</strong> Maximum Temperature (oC)<br />

MAXIMUM TEMPERATURE (oC)<br />

34<br />

33<br />

32<br />

31<br />

35<br />

34<br />

33<br />

32<br />

31<br />

1951<br />

1951<br />

FIG 2.(BELOW)<br />

1953<br />

1954<br />

1955<br />

1957<br />

1957<br />

FOR EXAMPLE – Temperature rise:<br />

1959<br />

1961<br />

1963<br />

1965<br />

Me<strong>an</strong> Maximum Temperature over Nigeria<br />

1967<br />

1969<br />

1971<br />

1973<br />

1975<br />

1977<br />

1979<br />

YEARS<br />

1981<br />

1983<br />

1985<br />

1987<br />

1989<br />

1991<br />

1993<br />

1995<br />

y = 0.0195x + 31.751<br />

MEAN MAXIMUM TEMPERATURE FOR NORTHERN STATIONS<br />

1960<br />

1963<br />

1966<br />

1969<br />

1972<br />

1975<br />

1978<br />

YEARS<br />

1981<br />

1984<br />

1987<br />

1990<br />

1993<br />

1997<br />

1999<br />

2001<br />

2003<br />

2005<br />

y = 0.0139x + 32.899<br />

1996<br />

1999<br />

2002<br />

2005<br />

Max<br />

Me<strong>an</strong><br />

Linear (Max)<br />

TMAX<br />

MEAN<br />

Linear (TMAX)


References:<br />

Tellro, Nadj Wai (2005): The<br />

influence on the water resources<br />

m<strong>an</strong>agement of the <strong>Lake</strong> Chad <strong>from</strong>


national policies of member states of <strong>Lake</strong> Chad Basin commission. 11 th<br />

<strong>World</strong> <strong>Lake</strong> Conference Nairobi, Kenya, 31 October to 4 th November, 2005<br />

pages 82 – 86’.<br />

Ngounou, Ngatcha Benjamin (2005): Towards sustainable development of<br />

the environ mentally degraded <strong>Lake</strong> Chad Basin, Central Africa, 11 th world<br />

<strong>Lake</strong> Conference Nairobi, Kenya 31 October to 4 th November, 2005 pages<br />

48 – 53.<br />

Edi<strong>an</strong>g Okuku archibong <strong><strong>an</strong>d</strong> Edi<strong>an</strong>g Aniek<strong>an</strong> Archibong (2003): Drought,<br />

food sustainability <strong><strong>an</strong>d</strong> crime in the Sud<strong>an</strong>o – Sahdia Part of Nigeria,<br />

Nigeri<strong>an</strong> Metrological Society Regional Conference Proceedings 11 – 14<br />

November 2003, pages 47 – 53.<br />

Obasi G.O.P (1997): forward to WMO <strong><strong>an</strong>d</strong> Climate Ch<strong>an</strong>ge Publication<br />

2000.<br />

Emm<strong>an</strong>uel Oladipo (19997): Drought, desertification <strong><strong>an</strong>d</strong> drought research<br />

priorities for the Afric<strong>an</strong> Region – South of the Sahara. Nigeri<strong>an</strong><br />

Meteorological Society Publication No. 8, Page 8.<br />

Cardy F.W (1994): Environment <strong><strong>an</strong>d</strong> forced migration, paper presented at<br />

the 4 th International research <strong><strong>an</strong>d</strong> Advisory p<strong>an</strong>el on the new direction in<br />

research on forced migration university of Oxford, J<strong>an</strong>uary 1994.<br />

Koko Warneret at (2008): field observations <strong><strong>an</strong>d</strong> empirical research; forced<br />

migration review. Issue 31 October 2008, pages 13.<br />

Robin Bronen (2008): Alask<strong>an</strong> Communities Rights <strong><strong>an</strong>d</strong> resilience forced<br />

migration review: issues 31. October 2008, pages 31<br />

Ujah Oliver chinedu (2008): Internal displacement in Nigeria. Forced<br />

Migration review. Issues 31. October 2008, pages 37<br />

What is EACH-FOR<br />

Europe<strong>an</strong> Commission sponsored the Environmental ch<strong>an</strong>ge <strong><strong>an</strong>d</strong> forced<br />

scenarios.


Project to assess the impact of environmental ch<strong>an</strong>ge on migration at the<br />

Local, National, Regional <strong><strong>an</strong>d</strong> International Level.<br />

CAR- Central Africa Region.<br />

LCBC – <strong>Lake</strong> Chad Basin Commission.

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