1. GEOGRAPHY AND CLIMATE (Welcomme, 1979)
Cameroon (with a surface area of 469 440 km2) is divided into four distinct topographical regions:
The climate is as varied as the topography but tends to grade from equatorial-humid in the south to Sahelian-arid in the north. In the south there is a prolonged and heavy rainy season which is at its most intense from June to September. The uplands have less rain and two peaks in April and October.
Cameroon is a primarily agricultural country with hardwood production in the forested areas. Demand for water for irrigation is limited. Several major dams have been installed for flood control, although they also generate electricity. There is a proposal to install a major area of irrigated agriculture on the Yaèrès floodplain down-stream of the proposed Logone River Dam.
2. HYDROGRAPHY (mainly after Balarin, 1985) (see Fig. 1)
Cameroon is characterized by an extremely dry north but very wet, high-altitude western regions. There are numerous perennial rivers in the south with extensive flood-plains.
The total water area amounts to about 2% of the country, nearly 40 000 million m3 and one million hectares, divided as follows (Aubray, 1976):
Type | Area (ha) | % Total |
Floodplains | 550 000 | 55.0 |
Lakes | 300 000 | 30.0 |
Rivers | 150 000 | 15.0 |
(To this area should be added the coastal mangroves.) |
Table 1 gives data on the main waterbodies and their fishery potential.
2.1 Lakes
There are a number of natural lakes in Cameroon. The largest is Lake Chad, of which 800 km2 (“Little Chad” phase) to 1 800 km2 (“Normal Chad” phase) are Cameroon territory, or 8–40% of the lake area, depending on the floods (Welcomme, 1979). Other minor lakes (see Table 2), amounting to about 1 500 km2 (Aubray, 1976), are scattered around the western region of the country.
2.2 Rivers, Floodplains and Swamps
Cameroon is drained from the Adamaoua Range along four major drainage basins: Atlantic, Zaire/Congo, Niger and Chad (Fig. 1, Table 1). A watershed exists along the South Cameroon Plateau separating coastal and Congo systems.
Within the plateau and coastal lowlands, the Atlantic drainage system is also divided into three minor basins: West, Sanaga and South. The Sanaga is the largest single river in Cameroon (over 920–975 km), with a 140 000 km2 basin. Flows range from 473 m3/s (March) to 57 000 m3/s (October), with a mean of 2 072 m3/s. The river is characterized by a numer of rapids and reservoirs. The west Atlantic rivers converge and create the vast Cameroon Estuary. In the south are numerous very small rivers, among which is the Nyong, with an extensive marshland.
The Lake Chad Basin is the smallest river system in Cameroon, with the River Logone as the main element which overflows into a number of lakes and the Yaèrès swamp. Part of this system's waters can join the Benouè system via the Mayo/Kebi. Other rivers termed “Moya” imply seasonal flows characterized by rainfall.
Generally, flow patterns of all Cameroon rivers are typified by rainfall. Equatorial conditions in the south create no flood peaks per season (i.e., Lobe and Nyong). Further north, flows are continuous all year round, with only one peak flood (i.e., Sanaga and Wouri). In the extreme north Sahelian conditions typify one peak flood with dry periods for 6–8 months (i.e., Mayo Tsanga). The ratio of flow per basin area (expressed as l/s/km2) is therefore greatest in the south, declining toward the north.
All rivers are interrupted by rapids and waterfalls; they are shallow and obstructed by sand banks, hazards to navigation.
Water quality parameters of various rivers are given in Table 8.
Characterized by hydromorphic soils and typical vegetation, large areas are prone to inundation. The major floodplains (Fig. 1) are the Yaèrès, over 7 000 km2 at peak flood, the upper reaches of the Nyong, and over 1 000 km2 of mangrove swamps, mainly around the Wouri Estuary. Bell and Canterbery (1976), however, estimate that the total extent of mangrove is over 5 184 km2.
2.3 Reservoirs
There are several impoundments in Cameroon:
Two further large dams have been proposed: one on the Benue at Lagolo, and one on the Logone River.
Also listed (Table 2) are details of man-made reservoirs and those hydroelectric schemes proposed for construction. Two of the largest dams, Bamendjing and Mbakaou on the Sanaga River, have a marked seasonal fluctuation and the latter has also been known to dry up completely. Two of the most recent barrages, Maga and Lagdo, have recently been reviewed by De Kimpe (1980a,b; 1983).
2.4 Coastal Lagoons
Although there are extensive coastal mangrove forests/swamps (see section 2.2), there are no significant coastal lagoons.
Fig. 1. MAIN DRAINAGE BASINS AND HYDROLOGICAL STATIONS
(SOGREAH, 1983a mod. in Balarin, 1985)
Table 1. CAMEROON WATERBODIES AND THEIR FISHERY POTENTIAL
(Balarin, 1985)
BASIN | Length (km) | Width (m) | Basin area ('000 km2) | Estimated fish production | River poten. (t/yr) | Total poten. (t/yr) | |||
Main Rivers | |||||||||
Tributaries | |||||||||
1. | CONGO/ZAIRE | 250 kg/km | 350 | 350 | |||||
A. | Ngoko | 40.4 | |||||||
Boumba | 390 | 75 | |||||||
Dja | 700 | 120 | |||||||
B. | Kaden | 23.8 | |||||||
Boume | 300 | 95 | |||||||
2. | COASTAL BASIN (ATLANTIC) | 2 173 | |||||||
2.1 West | |||||||||
A. | Moungo | 120 | 380 kg/km | 46 | |||||
B. | Wouri | 8.2 | 540 kg/km | 97 | |||||
Nkam | |||||||||
Makombe | 180 | ||||||||
Dibombe | |||||||||
C. | Dimamba | 90 | |||||||
Ebo | |||||||||
Ekem | |||||||||
2.2 Sanaga | |||||||||
D. | Sanaga | 920 | 700 | 140.0 | 18 kg/ha | 1 200 | |||
Dierem | 935 | ||||||||
Lom | 11.0 | ||||||||
Mbam | 495 | 41.0 | |||||||
Mape | |||||||||
2.3 South | |||||||||
E. | Nyong | 520 | 153 | 14.0 | 40 kg/ha | 320 | |||
F. | Lokoundje | 160 | (29.0) | 250 kg/km | 40 | ||||
G. | Kienke | 90 | 220 kg/km | 20 | |||||
H. | Lobo | 95 | 1.9 | 210 kg/km | 20 | ||||
I. | Ntem | 360 | 940 kg/km | 340 | |||||
3. | NIGER | 2 125 | 2 125 | ||||||
A. | Benoue | 350 | 64.0 | 47 kg/ha | |||||
Mayo Kebi | 80 | ||||||||
Faro | 250 | ||||||||
4. | CHAD | 30 200 | |||||||
A. | Logone | 280 | 150.0 | 100–120 kg/ha | 16 500 | ||||
B. | Chari | ||||||||
C. | El Beid | (Lake Chad) | 1 200 | ||||||
D. | Les Yaèrès | 250–7 000 | 50 kg/ha | 12 500 | |||||
Total | 7 000 | 602.3-7 442.3 | 34 818 (25–45 000) |
Modified after: SOGREAH, 1983b; Laclavère and Loung, 1980; Aubray, 1976
Letters and Numbers before water-body names refer to Fig. 1.
BASIN | Potential fishery (t/yr) | Total potential fishery (t/yr) | ||
(Existing) waterbodies | ||||
CONGO ZAIRE | ||||
Total Rivers | 350 | 350 | ||
Reservoirs | ||||
Lakes | ||||
COASTAL BASIN (ATLANTIC) | 7 973 | |||
Total Rivers | 2 173 | |||
Reservoirs | ||||
Bamendjing | 500 | |||
Mbakaou | 3 500 | |||
Lakes | ||||
Ossa/Mevia | 800 | |||
Mbali/Tissongo | 1 000 | |||
NIGER | 5 065 | |||
Total Rivers | 2 125 | |||
Reservoirs | ||||
Lagdo | 2 900 | |||
Bini | 30 | |||
Dang | 10 | |||
Lakes | ||||
CHAD | 31 700 | |||
Total Rivers | 30 200 | |||
Reservoirs | ||||
Maga | 1 500 | |||
Lakes | ||||
TOTAL - 4 BASINS | 45 088 (35–55 240) | |||
Rivers | 34 818 (25–45 000) | |||
Reservoirs | 8 440 | |||
Lakes | 1 800 |
BASIN | Estimated potential fishery (t/yr) | ||
Planned Reservoirs | |||
COASTAL BASIN | |||
(West) | |||
Cross-River | 1 000 | ||
Song Loalou | ? | ||
(Sanaga) | |||
Mape | 4 000 | ||
Njeke | 1 000 | ||
Kaleng | ? | ||
Goife | ? | ||
(South) | |||
Njock-Poume | |||
NIGER | |||
Collinaires | 800 | ||
Adamaoua | ? | ||
CHAD | |||
Vina | 2 000 | ||
Total projected | 8 800 |
Table 2. MORPHOLOGICAL DATA AND USES OF LAKES - CAMEROON
(Abstr. SOGREAH, 1983a; Min.Econ.Plan., 1981)
(Balarin, 1985)
Waterbody | Region | Year built/filled | Volume (million m3) | Area ('000 ha) | Potential fish yield (kg/ha/yr) | Altitude (m) | Use a |
Reservoirs | |||||||
Bamendjing | (W.N. Province) (Noan R.) | 1970–74 | 1 800 | 15–33.0 | 20.0 | 1 150 | f,p. |
Maga | 12–36.0 | 100–110 | i(rice),f. | ||||
Lagdo | (1983 est.) | 4 500–7 700 | 22–69.7 | 55–60 | 214 | p,f,i. | |
Mbakaou | (N. Province)(Djerem R.) | 1968 | 2 600 | 50–60 | 870 | f,p. | |
Bini | (N. Province) | 1962 | 0.3 | 100.0 | f. | ||
Dang | (N. Province) | 1963 | 0.1 | 100.0 | f,w. | ||
Merou | (Yaounde) | 1952 | 0.005 | w. | |||
Mokolo | (Mokolo) | w. | |||||
Vina | underway | 30–40 | 60.0 | p,f. | |||
Cross-River | underway | 15–20 | 50.0 | p,f. | |||
Mape | (est. 1986) | 50-0 | 80.0 | 724 | |||
Ndjeke | (est. 1988) | 20-0 | 50.0 | 582 | |||
(90) L'Adamaoua underway | 8.0 | 100.0 | p. | ||||
Njock Poume | (Nyong R.) | proposed | p. | ||||
Kaleng | (Mbam R.) | " | p. | ||||
Goife | (Mbam R.) | " | p. | ||||
Bangangte | (Noan R.) | " | p. | ||||
Tanbassala | (Nkam R.) | " | p. | ||||
Yabassi | (Nkam R.) | " | p. | ||||
Mentchum | (Atouffi R.) | " | p. | ||||
Kikot | " | p. | |||||
Nachtigal | (Sanga R.) | " | i. | ||||
Ewana | " | i. | |||||
Mayo Tsanaga | (Gazawa plain) | " | p. | ||||
Song-loulou | Kikot rapids | " | p. | ||||
Goulet | " | p,i. | |||||
Edea | |||||||
Lakes | |||||||
Chad, Ossa and Meria | 3.5 | 224 est. | f. | ||||
Barombi Mbo | 10–20 | ||||||
Fianga, Mbali & Tissongo, Lere, Barambiba, Kotto, Benin, Ejagham |
a c = commercial;
f = fishery;
i = irrigation;
p = power;
w = water supply
2.5 Aquaculture
There are 38 state Fish Culture Centres, but a large number of these are in a state of disrepair or abandonment. There are 6 000–7 000 village ponds in Cameroon (Satia, pers.comm.). SOGREAH (1982a) lists only 1 600 ponds as functional in 1982, but Satia (pers.comm.) considers this to be more in the order of 4 000, operated by 3 200 farmers, 1.3 ponds per farmer at a size of 250–300 m2 each. This adds up to a total area of 100–120 ha with an average yield of 1.7 t/ha/yr. Grover et al., (1980), lists over 250–500 ha of ponds. Njock (1979), on the other hand, claims about 6 000 rural ponds, each of 250–400 m2, operated by 4 500 farmers and capable of a mean production of 1 t/ha/yr. A total 150–240 t/yr, and about 2 million seeds, were considered as the total for 1980. Statistics therefore remain confused.
3. FISHERY PRODUCTION/POTENTIAL
3.1 Fish production and per caput supply
Table 3. FISH PRODUCTION AND PER CAPUT SUPPLY - Cameroon, 1970–1987
Nominal Production (including exports) (t) 2 | Nominal Consumer Supply (including exports) (kg/person) | ||||||||
Year | Population '000 1 | Inland capture | Aquaculture 3 | Marine capture 6 | Total | Inland capture | Aquaculture 3 | Marine capture | Total |
1970 | 6 745 | 50 000 | - 4 | 20 800 | 70 800 | 7.4 | - | 3.1 | 10.5 |
1971 | 6 905 | 50 000 | - | 24 500 | 74 500 | 7.2 | - | 3.5 | 10.7 |
1972 | 7 068 | 50 000 | - | 21 600 | 71 600 | 7.1 | - | 3.0 | 10.1 |
1973 | 7 235 | 50 000 | - | 21 600 | 71 600 | 6.9 | - | 3.0 | 9.9 |
1974 | 7 407 | 50 000 | - | 21 600 | 71 600 | 6.7 | - | 2.9 | 9.6 |
1975 | 7 582 | 50 000 | - | 21 600 | 71 600 | 6.6 | - | 2.8 | 9.4 |
1976 | 7 780 | 50 000 | - | 21 600 | 71 600 | 6.4 | - | 2.8 | 9.2 |
1977 | 7 982 | 50 000 | - | 20 168 | 70 168 | 6.3 | - | 2.5 | 8.8 |
1978 | 8 190 | 50 000 | - | 18 996 | 68 996 | 6.1 | - | 2.3 | 8.4 |
1979 | 8 404 | 20 000 | - | 73 214 | 93 214 | 2.4 | - | 8.7 | 11.1 |
1980 | 8 623 | 20 000 | - | 73 045 | 93 045 | 2.3 | - | 8.5 | 10.8 |
1981 | 8 860 | 20 000 | - | 71 761 | 91 761 | 2.3 | - | 8.1 | 10.4 |
1982 | 9 103 | 19 813 | 187 5 | 75 012 | 95 012 | 2.2 | 0.02 | 8.2 | 10.4 |
1983 | 9 353 | 19 744 | 256 5 | 69 277 | 89 277 | 2.1 | 0.03 | 7.4 | 9.5 |
1984 | 9 609 | 19 718 | 282 5 | 67 299 | 87 299 | 2.1 | 0.03 | 7.0 | 9.1 |
1985 | 9 873 | 19 870 | 130 5 | 65 955 | 85 955 | 2.0 | 0.01 | 6.7 | 8.7 |
1986 | 10 154 | 19 876 | 124 5 | 63 980 | 83 980 | 1.9 | 0.01 | 6.3 | 8.2 |
1987 | 10 443 | 19 863 | 137 5 | 62 529 | 82 529 | 1.9 | 0.01 | 6.0 | 7.9 |
1 Source: FAO
2 Source: FAO Fisheries Department FISHDAB
Reliable catch data exist only for industrial fishery. Yields from inland water bodies known to be reduced as a result of Sahelian drought, but data on annual variations in catch are not available.
3 included in “Inland capture” if not specified.
4 - = data not available.
5 Vincke, 1989 (pers.comm.)
6 From 1980 to 1983, marine exports were as follows: 1980: 1 783 t; 1981: 1 434 t; 1982: 1 800 t; 1983: 2 002 t.
3.2 Inland catch range and potential yield
Table 4. INLAND CATCH RANGE AND POTENTIAL YIELD
Water body | Period | Annual catch range (t) | Potential annual yield (t) | |
Lake Chad | late 1960's | 5 000 1 | 8 000 2 to 18 000 1 | |
Benue River | late 1960's | 3 000 | 1 450–3 000 | |
Chari and Logone Rivers and Yaèrès Floodplain | early 1960's | 20 000–30 000 | 12 500 | |
Sanaga River | - | - | 1 200 | |
Bamendjing Reservoir | - | - | 500 | |
Bini Reservoir | - | - | 30 | |
Dang Reservoir | - | - | 10 | |
Lagdo Reservoir | - | - | 2 900 | |
Maga Reservoir | - | - | 1 500 | |
Mbakaou Reservoir | - | - | 3 500 | |
No information available for | ||||
Lakes Bambili, Barombi Koto, Barombi Mbo, Benakuma, Dissoni, Fianga, Mboandong, Nyos and Oku; | ||||
Rivers Cross and Sangha; | ||||
Reservoir Mayo Oulou. | ||||
Total Lakes | - | - | 1 800 3 | |
Total Rivers | - | - | 34 818 3 | |
Total Reservoirs | - | - | 8 440 3 |
(Sources: see text)
1 before the Sahelian drought: “Normal Chad” phase
2 during the Sahelian drought: “Little Chad” phase.
3 Balarin, 1985 (see Table 1)
Total annual yield:
40 000–50 000 t - before the Sahelian drought;
20 000 t - during the Sahelian drought, and present (see Table 3).
Potential annual yield:
45 000–80 000 t in normal (no-drought) climatic situation (Balarin, 1985).
4. STATE OF THE FISHERY (mainly after Welcomme, 1979; Balarin, 1985)
4.1 Yield
Some statistical confusion arises from the situation around Lake Chad and the Yaèrès. These are international waters with free passage of fishermen and their produce. The site of capture of any lot of fish is therefore very difficult to determine and there has undoubtedly been some duplication in recording of catches from this region. The estimated catch from the Yaèrès, equivalent to 43 kg/ha, falls within the range known from other African floodplains (i.e., 40–60 kg/ha of flooded area), but some authorities place it somewhat lower (about 11 500 t, equivalent to 25 kg/ha). The Benue River catch of about 3 000 t appears to be close to the maximum potential. Forest rivers produce a combined catch of about 2 000 t. Some of the small crater lakes support fisheries, but catch data is unavailable.
Inland capture fishery is a non-industrial, artisanal industry which forms one of the main activities of the rural economy throughout Cameroon. Although accurate statistics are not possible, production is believed to have stabilized around 40–50 000 t/yr from 1970 to 1978. However, the recent Sahelian drought dramatically decreased the inland production to an estimated 20 000 t/yr. The actual status of the fishery is not really known. A composite picture for 1982 is proposed in Table 5, together with estimates of potential.
Table 5. TOTAL INLAND FISH PRODUCTION IN 1982
(adapted from Balarin, 1985)
Artisanal | Aquaculture | |
Area, ha | 5.0 million a | 1 700.0 (120 ha) |
Number of ponds | - | 4 000 (+ 7 000) |
Fishermen/fishfarmers | 12–20 000 b | 3 200 |
Total catch, t/yr | 20 000 c | 200 d; |
187 e; | ||
23 f | ||
Exports t/yr | 12 000 f; | - |
15 000 d | ||
Total locally consumed | (5–8 000) | 23–200 |
Max. potential t/yr | 45–80 000 | - |
Yield potential kg/ha/yr | 80 d; | - |
40 g |
a Min.Econ.Plan (1981)
b FAO (1979)
c FAO, Fisheries Statistics
d Satia (pers.comm.)
e Vincke (pers.comm.)
f SOGREAH (1982b)
g Welcomme (1979)
Fish farming in Cameroon has a long history but is largely practiced at a subsistence level; few large farms exist and production is low. National production is modest and does not significantly contribute to the national requirement.
SOGREAH (1982b) suggests an aquaculture production of 23 t/yr, while Satia (pers.comm.) is of the opinion that the total is close to 200 t/yr; this is close to the 1982–1987 estimates of Vincke (1989, pers.comm.), with production varying from 124 to 282 t/yr (see Table 6).
Table 6. PRODUCTION FROM AQUACULTURE IN CAMEROON, BY SPECIES (t)
Species | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 |
Oreochromis niloticus | 97 | 134 | 147 | 91 | 87 | 96 |
Cyprinus carpio | 64 | 86 | 95 | 26 | 31 | 34 |
Clarias gariepinus | 26 | 36 | 40 | 13 | 6 | 7 |
Total | 187 | 256 | 282 | 130 | 124 | 137 |
Source: Vincke (1989, pers.comm.)
4.2 Factors influencing yield
Several factors affect the yield in Cameroon. Firstly, the forest rivers are mostly blackwater rivers and are generally unproductive. Thus, although there is a very extensive network of large rivers in the south of the country, they do not contribute much to the potential. Secondly, the recent Sahelian drought caused the reduction in area of Lake Chad and failure of the floods over the Yaèrès. This has meant loss of the Yaèrès fishery and, after a temporary increase in catch, a loss in production and potential in Lake Chad.
There is a lack of understanding in the importance of regulation explosives and poisons being used. A shortage of trained personnel to supervise and offer advice, as well as poor supply of equipment and absence of marketing infrastructure for shipment to distant markets, hamper development.
4.3 Future development possibilities
The future of capture fisheries depends very much on the climatic developments of the Sahelian region. Improvements cannot be anticipated during the Little Chad phase but, with the restoration of a period of higher rainfall, stocks may once again build up both in the lake and on the Yaèrès floodplain. Such a rebirth of the fishery may well be endangered by the proposed development of the Yaèrès for irrigated agriculture.
5. KEY BIBLIOGRAPHY
Balarin, 1985
6. WATER BODIES DIRECTORY
(Physico-chemical data of various rivers are given in Table 8.)
Lakes | ||
Baleng | Chad | Mboandong |
Bambili | Debundsha | Nyos |
Barombi Koto (= Kotto) | Dissoni (= Soden) | Oku |
Barombi Mbo (= Kumba) | Ejagam | Tibati |
Benakuma | Fianga | Tizono |
Rivers | ||
Benue (and floodplain) | Logone (and Yaèrès floodplain) | |
Chari (and Yaèrès floodplain) | Sanaga | |
Cross | Sangha | |
Reservoirs | ||
Bamendjing | Edea | Mayo Oulou |
Bini | Lagdo | Mbakaou |
Dang | Maga | Song-Loulou |
LAKE BALENG
Geographical data | |
Location: | Cameroon - 5° 33'N; 10° 27'E |
LAKE BAMBILI
Geographical data | |
Location: | Cameroon - 5° 56'N; 10° 15'E |
Surface area: | 0.2 km2 |
Max. length: | 0.5 km |
Max. width: | 0.5 km |
LAKE BAROMBI KOTO (= KOTTO)
Geographical data | |
Location: | Cameroon - 4° 28'N; 9° 16'E |
Altitude: | 110 m |
Surface area: | 3.3 km2 |
Depth: | 6 m (max) |
Max. length: | 2.0 km |
Max. width: | 2.0 km |
Inflowing rivers: | Tung Nsuia, Tung Nsuria |
Special features: | Crater lake |
Physical and chemical data: | |
Surface temperature: | 29–32° C |
Conductivity: | K20 145–162 μ S/cm |
LAKE BAROMBI MBO (= KUMBA)
Geographical data | |
Location: | Cameroon - 4° 38'N; 9° 22'E |
Altitude: | 300 m |
Surface area: | 4.53 km2 |
Depth: | 111 m (max) |
Max. length: | 2.5 km |
Max. width: | 2.5 km |
Annual fluctuation in level: 1 m | |
Outflowing river: | Kumba |
Special features: | Crater lake |
Physical and chemical data: | |
Surface temperature: | 29.5 ° C |
Conductivity: | K20 39 μ S/cm |
LAKE BENAKUMA
Geographical data | |
Location: | Cameroon - 6° 26'N; 9° 57'E |
Surface area: | 1.8 km2 |
Max. length: | 1.7 km |
Max. width: | 1.5 km |
Fig. 2. LAKE CHAD
(Welcomme, 1972)
LAKE CHAD
(International water)
Geographical data | ||
Location: | 12° 30'–14° 30'N; 13° 00'–15° 30' E | |
Cameroon, Chad, Niger, Nigeria | ||
Surface area: | 2 000–22 000 km2. The dimensions of Lake Chad vary with the rainfall over its basin. The lake seems to exist in two phases: the “Normal Chad” phase, with an area of about 18 000 km2, and the “Little Chad”, with an area of about 2 000 km2. In 1907, the northern parts dried out completely, and although by 1961 the level had risen markedly (and reached an area of 22 000 km2), the lake was once again reduced in area to reach a minimum in 1973. The level has since risen slightly, but the northern part still remained unflooded in 1983. The hydrographic system now formed by Lake Chad and its rivers is the remnant of what was once probably the greatest lake in the world. (See Fig. 2) | |
During the “Normal Chad” phase, the area of open water is distributed as follows: | ||
(Welcomme, 1972) | ||
Chad | 11 000 km2 (50%) | |
Nigeria | 5 500 km2 (25%) | |
Niger | 3 898 km2 (17%) | |
Cameroon | 1 800 km2 ( 8%) | |
During the “Little Chad” phase, the area of open water is distributed as follows: | ||
Chad | 1 200 km2 (60%) | |
Cameroon | 800 km2 (40%) | |
(*indicates data are for “Normal Chad” phase) | ||
Depth: | 9.5 m (max); 3.9 m (mean) | |
Volume: | *75 km3 | |
Max. length: | *224 km | |
Max. width: | *144 km | |
Shoreline: | *1 000 km | |
Annual fluctuation in level: *1 m approx. | ||
Catchment area: | 2 500 000 km2 | |
Major inflowing rivers: Chari, Yobe, Komadougou, Ngadd, Yedseram | ||
Physical and chemical data: * | ||
Surface temperature: | 18.7–32.3° C (Dussart, 1969) | |
Conductivity: | Conductivity increases from 50 μ S/cm (at Chari mouth) to 1 000 μ S/cm (Welcomme, 1972) (see also Table 7) | |
pH: | 7.1–8.3 (Dussart, 1969) (see also Table 7) | |
Ionic composition: | (see Table 7) | |
Fisheries data | ||
No. of fish species: | 83 (Blache et al., 1964) | |
No. of fishermen: | about 10 000 during “Normal Chad” phase: (Nigeria <3 000; Chad, 5 000; Niger, 1 000; Cameroon >1 000; dates unspecified) (Welcomme, 1972) | |
Total annual catch and effort: | ||
Catch by country is very obscure because of the free movement of fishermen and produce around the lake. The catch history for 1969–75 has been estimated as follows by Stauch (1977): |
Year | Total catch (t) | No. of fishermen |
unspecified | - | 10 000 |
1950 | 20 000 | - |
1951–59 | - | - |
1960 | 30 000 | - |
1961–66 | 35 000 p.a. | - |
1967 | 35 000 | - |
1968 | 40 000 | - |
1969 | 40 000 | - |
1970 | 55 000 | - |
1971 | 85 000 | - |
1972 | 120 000 | - |
1973 | 150 000 | - |
1974 | 65 000 | - |
1975 | 50 000 | - |
The catch from Cameroon waters prior to the Sahelian drought was circa 5 000 t (Welcomme, 1979).
Potential annual yield:
in entire Lake: | ||
100–120 kg/ha | (Durand, 1980) | |
80–100 kg/ha | (in “Normal” 20 000 km2 Chad; 160 000–200 000 t/yr) (Van der Meeren, 1980); | |
70 000 t/yr | max. sustainable yield, entire lake (Moses, 1982) | |
in Cameroon: | ||
“Normal Chad” phase: | 14 400–21 600 t (80–120 kg/ha; 1 800 km2) | |
“Little Chad” phase: | 6 400–9 600 t (80–120 kg/ha; 800 km2) |
Table 7. CHEMICAL COMPOSITION OF WATERS DURING “NORMAL” CHAD PERIOD IN MAIN LAKE ZONES
(cited in Leveque, 1987)
Values are in meq/l when not otherwise specified.
Values between parentheses () are approximate and deducted from evaporation experiments.
Zones | Cond. 10μS/cm | pH | Na | K | Ca | Mg | Total cations | Alc | Cl | SO4 | Total anions | PO4 10μg/l | H4SiO4 mM/l | Salinity mg/l |
Archipelago north | 687 | 8.7 | 2.83 | 0.86 | 2.09 | 1.72 | 7.30 | 7.34 | (0.40) | (0.15) | 7.89 | 1000–3000 | 1.06 | 695 |
North islets/banks | 725 | 8.7 | 2.82 | 0.82 | 2.36 | 1.98 | 7.98 | 7.74 | (0.35) | (0.14) | 8.23 | n.d. | 1.02 | 700 |
Open waters north | 407 | 8.1 | 1.59 | 0.47 | 1.32 | 1.10 | 4.48 | 4.35 | (0.23) | (0.07) | 4.65 | 100–1200 | 0.73 | 415 |
Archipelago east | 237 | 7.7 | 0.84 | 0.24 | 0.91 | 0.59 | 2.58 | 2.53 | (0.11) | (0.05) | 2.69 | 500–1200 | 1.08 | 280 |
Great Barrier | 190 | 8.0 | 0.68 | 0.21 | 0.66 | 0.52 | 2.07 | 2.03 | (0.09) | (0.03) | 2.15 | n.d. | 0.73 | 216 |
Archipelago southeast | 105 | 7.4 | 0.32 | 0.10 | 0.44 | 0.32 | 1.18 | 1.15 | (0.05) | (0.02) | 1.22 | 100–400 | 0.64 | 135 |
Open waters south | 83 | 7.2 | 0.28 | 0.09 | 0.32 | 0.24 | 0.93 | 0.89 | (0.04) | (0.01) | 0.94 | n.d. | 0.50 | 109 |
Southeast islets/banks | 87 | 7.4 | 0.24 | 0.08 | 0.36 | 0.29 | 0.96 | 0.93 | (0.04) | (0.01) | 0.98 | n.d. | 0.53 | 110 |
Southeast open waters | 58 | 7.2 | 0.16 | 0.06 | 0.24 | 0.18 | 0.64 | 0.62 | (0.04) | <0.01 | 0.67 | 10–250 | 0.41 | 77 |
Chari | 60 | 7.3 | 0.13 | 0.05 | 0.20 | 0.15 | 0.53 | 0.52 | (0.03) | <0.01 | 0.56 | n.d. | 0.37 | 66 |
LAKE DEBUNDSHA
Geographical data | |
Location: | Cameroon |
Physical and chemical data | |
Conductivity: | 12 μ S/cm at 20° C |
LAKE DISSONI (= SODEN)
Geographical data | |
Location: | Cameroon - 4° 43'N; 9° 17'E |
Altitude: | 450 m |
Surface area: | 1.33 km2 |
Depth: | 81 m (max) |
Max. length: | 1.25 km |
Max. width: | 1.25 km |
Special features: | crater lake |
Physical and chemical data | |
Conductivity: | K20 27 μ S/cm |
LAKE EJAGAM
Geographical data | |
Location: | Cameroon - 5° 47'N; 9° 59'E |
LAKE FIANGA
(International water)
Geographical data | |
Location: | Cameroon, Chad - 9° 54'–10° 06'N; 15° 13'E |
Surface area: | 28 km2 in Cameroon; 11 km2 in Chad) |
Max. length: | 23 km |
Max. width: | 1.5 km |
Inflowing river: | Mayo Kebi |
Outflowing river: | Mayo Kebi |
LAKE MBOANDONG
Geographical data | |
Location: | Cameroon - 4° 27'N; 9° 16'E |
Altitude: | 130 m |
Surface area: | 0.10 km2 |
Depth: | 5 m (max) |
Max. length: | 0.35 km |
Max. width: | 0.35 km |
Special features: | crater lake |
Physical and chemical data | |
Surface temperature: | 33° C |
Conductivity: | K20 66 μ S/cm |
LAKE NYOS
Geographical data | |
Location: | Cameroon - 6° 26'N; 10° 18'E |
Surface area: | 1.4 km2 |
Max. length: | 2 km |
Max. width: | 1 km |
LAKE OKU
Geographical data | |
Location: | Cameroon - 6° 12'N; 10° 27'E |
Surface area: | 2.1 km2 |
Max. length: | 2 km |
Max. width: | 1.5 km |
LAKE TIBATI
Geographical data | |
Location: | Cameroon |
LAKE TIZONO
Geographical data | |
Location: | Cameroon - 7° N; 3° 35'E |
BENUE RIVER AND FLOODPLAIN
(International water)
Geographical data (data mainly from Welcomme, 1972) | |
Source: | Adamaoua Mountains, Cameroon |
Total length: | 1 400 km |
Basin area: | 64 000 km2 |
Area of water: | in Nigeria: bankfull: 1 290 km2; flooded: 3 100 km2 |
Countries traversed: | Cameroon, Nigeria |
Major tributaries: | Mayo Kebi (Cameroon); Faro and Gongola (Nigeria) |
Volume of discharge at mouth: mean max: 1 920 m3/sec mean min: 32 m3/sec | |
Special features: | most of the course of the Benue in Cameroon is flanked laterally by a floodplain dotted with small lakes. The upper course is impounded at Lagdo. |
Physical and chemical data (see Table 8)
Fisheries data | |
No. of fish species: | 113 - Mayo Kebi (Blache et al., 1964); |
128 - Benue (Stauch, 1966) | |
Total annual catch: | 12 570 t in 1966: |
(3 000 t in Cameroon; 9 570 t in Nigeria) | |
Potential annual yield: | |
2 125 t (1 450–3 000 t) (Sources: see Table 1) |
CHARI RIVER AND YAERES FLOODPLAIN
(International water)
Geographical data | (data mainly from Welcomme, 1972) |
Source: | the Chari River is formed from the confluence of several rivers, principally the Salamat, Bahr Aouk and Ouham Rivers. |
Total length: | 950 km |
Drainage area: | 600 000 km2 (Ndjamena) |
Countries traversed: | Cameroon, Chad, Central African Republic (Bahr Aouk, Ouham and many other tributaries), Sudan (Wadi Tirwal, Bahr Azoum) |
Discharges to: | Lake Chad |
Volume of discharge at mouth: 1 011–1 181 m3/sec | |
Flood regime: | floods from July to February, maximum in October |
Special features: | the Chari has extensive floodplains along most of its course. The main areas are centered around the Salamat and Erguig Rivers. The Total area of the Chari/Logone floodplains in Cameroon, Chad and Central African Republic is about 6 000 km2. |
Physical and chemical data | |
Temperature: | 19.4–30.4°C |
Conductivity: | K24 42–73 μ S/cm |
pH: | 6.9–7.7 |
Ionic composition: | mg/l | |
Na | 2.92 | |
K | 1.84 | |
Ca | 2.06 | |
Mg | 0.94 | |
CO3 | 31.5 | |
Si(OH)4 | 22.2 |
Fisheries data
Total annual catch: the catch from the Chari/Logone system, which originates mainly from the Yaèrès floodplain (4 600 km2) was estimated (in the early 1960's) at 20–30 000 t from Cameroon and 35 000 t from Chad (Blache & Miton, 1962). The status of this fishery changed during the Sahelian drought, when much of the plain was left unflooded.
Potential annual yield: 12 500 t in Yaèrès floodplain (Sources: see Table 1)
CROSS RIVER
(International water)
Geographical data | |
Source: | near Dschang, Cameroon |
Altitude: | 1 965 m |
Total length: | 485 km (160 km in Cameroon; 325 km in Nigeria) |
Countries traversed: | Cameroon, Nigeria |
Major tributaries: | Aboine, Anyim |
Discharges to: | Atlantic Ocean (Gulf of Guinea) - 4° 50'N; 8° 17'E |
Special features: | in Nigeria there is a floodplain (800 km2) along the central course with several lakes (Lakes Ebom, Ujum, Bob Eric, Ibini, Egwabe, Elcan, Ekwo). |
Physical and chemical data | |
Conductivity: | 10–25 μ S/cm |
pH: | 6.2–7.4 |
Ionic composition: | (see Table 8) PO4 0.0–0.1 mg/l |
Fisheries data | |
Total annual catch: | 3 500–8 000 t in Nigeria (1975) |
LOGONE RIVER AND YAERES FLOODPLAIN
(International water)
Geographical data | |
Source: | Cameroon (Mbèrè tributary) - 6° 54'N; 14° 15'E |
Total length: | 550 km |
Drainage area: | 73 700 km2 (at Bongor) |
Countries traversed: | Cameroon, Chad |
Discharges to: | Chari River at Fort Lamy |
Volume of discharge at mouth: 40–3 000 (mean: 1 500) m3/sec | |
Flood regime: | floods in June-January, maximum in September-October |
Special features: | Yaèrès floodplain (4 600–6 000 km2) |
Physical and chemical data (see Table 8) | |
Conductivity: | K24 41–82 μ S/cm |
Fisheries data | |
Total annual catch: | the catch (in the early 1960's) from the floodplain Chari/Logone system, which originates mainly from the Yaèrès, is estimated at 20 000–30 000 t from Cameroon and 35 000 t from Chad (Blache and Miton, 1962). The status of this fishery changed during the Sahelian drought, when much of the plain was left unflooded. |
Potential annual yield: 12 500 t in Yaèrès floodplain (Sources: see Table 1) |
SANAGA RIVER
Geographical data | |
Source: | Adamaoua Mountains |
Total length: | 890 km |
Drainage area: | 135 000 km2 |
Countries traversed: | Cameroon |
Major tributaries: | Djerem, Mbom, Noun |
Discharges to: | Atlantic Ocean |
Volume of discharge at mouth: 500–5 700 m3/sec (mean 2 000; max in October) | |
Special features: | the lower course of the Sanaga has a floodplain with several lakes, including Tissongo, Mbali and Ossa. Upstream, the basin is impounded at Edea and Song-Loulou (both on the Sanaga), Bamendjing on the Noun, and Mbakaou on the Djerem. |
Physical and chemical data (see Table 8) | |
Fisheries data | |
Potential annual yield: | 1 200 t (Sources: see Table 1) |
SANGHA RIVER
(International water)
Geographical data | |
Source: | Karre Mountains, western Central African Republic |
Total length: | 1 000 km (150 km along Cameroon border) |
Countries traversed: | Cameroon, Congo, Central African Republic |
Major tributaries: | Likuala, Ekela and Dja Rivers |
Discharges to: | Zaire/Congo River |
Volume of discharge at mouth: 700–4 300 m3/sec |
BAMENDJING RESERVOIR
Geographical data | |
Location: | Cameroon - 5° 50'N: 10° 35'E |
Altitude: | 1 150 m asl |
Dam height: | 17 m |
Date closed: | 1975 |
Surface area: | 250 km2 (mean varies between 150 and 300 km2) |
Volume: | 1.8 km3 |
Max. length: | 32 km |
Max. width: | 27 km |
Annual fluctuation in level: 5–6 m | |
Major inflowing river: | Noun (tributary of Sanaga) |
Outflowing river: | Noun |
Fisheries data | |
Potential annual yield: 500 t (Sources: see Table 1) |
BINI RESERVOIR
Geographical data | |
Location: | Cameroon |
Date closed: | 1962 |
Surface area: | 3.0 km2 |
Fisheries data | |
Potential annual yield: 30 t (Sources: see Table 1) |
DANG RESERVOIR
Geographical data | |
Location: | Cameroon |
Date closed: | 1963 |
Surface area: | 1.0 km2 |
Fisheries data | |
Potential annual yield: 10 t (Sources: see Table 1) |
EDEA RESERVOIR
Geographical data | |
Location: | Cameroon |
Volume: | 0.1 km3 |
Outflowing river: | Sanaga |
LAGDO RESERVOIR
Geographical data | |
Location: | Cameroon - 8° 54'N; 13° 54'E |
Dam height: | 40 m |
Date closed: | 1982 |
Surface area: | 700 km2 (at USL); 220 km2 (min) |
Depth: | 11.0 m (mean at USL) |
Volume: | 7.7 km3 |
Annual fluctuation in level: 10 m | |
Major inflowing river: | Benue |
Outflowing river: | Benue |
Fisheries data | |
No. of fishermen: | 1 500 in 1983; 2 625 in 1984 |
No. of boats: | 1 050 in 1984 |
Potential annual yield: | 2 900 t (Sources: see Table 1) |
MAGA RESERVOIR
Geographical data | |
Location: | Cameroon - 10° 21'N; 15° 15'E |
Dam height: | 10 m |
Date closed: | 1979 |
Surface area: | 360 km2 |
Major inflowing river: | diversion canal from Logone |
Outflowing river: | irrigation feed to rice fields |
Fisheries data | |
No. of fishermen: | 3 000 in 1984 |
Potential annual yield: | 1 500 t (Sources: see Table 1) |
MAYO OULOU RESERVOIR
Geographical data | |
Location: | Cameroon |
Surface area: | 80 km2 at USL |
MBAKAOU RESERVOIR
Geographical data | |
Location: | Cameroon - 6° 23'N; 12° 49'E |
Altitude: | 870 m asl |
Dam height: | 19 m |
Date closed: | 1968 |
Surface area: | 500 km2 (mean), but can dry completely at low water |
Volume: | 2.6 km3 |
Max. length: | 50 km |
Max. width: | 16 km |
Annual fluctuation in level: up to 28 m | |
Major inflowing rivers: | Djerem, Beli |
Outflowing river: | Djerem (tributary of Sanaga) |
Catchment area: | 20 390 km2 |
Maximum discharge: | 2 090 m3/sec (September-October) |
Fisheries data | |
Potential annual yield: | 3 500 t (Sources: see Table 1) |
SONG-LOULOU RESERVOIR
Geographical data | |
Location: | Cameroon |
Volume: | 10 × 106 m3 |
Outflowing river: | Sanaga |
Table 8. ANALYSES OF RIVER WATERS - CAMEROON
(SOGREAH, 1983a)
River | pH | Cond. μS/cm | Ca mg/l | Mg mg/l | K mg/l | Na mg/l | Cl mg/l | SO4 mg/l | HCO3 mg/l | SiO2 mg/l | Fe mg/l | TDS* mg/l | |
(Site) | |||||||||||||
Choumi | 7.7 | 48 | 3.6 | 1.8 | 1.1 | 2.5 | 1.4 | 0.5 | 28.6 | 16.2 | 0.38 | 56.0 | |
Metchie | 7.6 | 43 | 3.6 | 2.0 | 1.1 | 2.7 | 1.0 | 0.9 | 31.1 | 14.4 | 0.35 | 57.1 | |
Mezam | |||||||||||||
(Bengwi) | 7.2 | 22 | 1.6 | 0.6 | 1.5 | 1.8 | 1.4 | 0.9 | 13.4 | 13.5 | 0.42 | 35.1 | |
Nkam | 7.5 | 27 | 2.4 | 1.1 | 1.1 | 1.8 | 0.3 | 1.0 | 18.9 | 16.4 | 0.81 | 43.8 | |
(Melong) | 7.5 | 45 | 2.6 | 1.2 | 1.4 | 2.8 | 0.3 | 0.3 | 24.4 | 16.8 | 0.35 | 50.1 | |
Mbam | |||||||||||||
(Mantoum) | 7.5 | 48 | 3.4 | 1.7 | 1.4 | 2.5 | 2.8 | 0.5 | 25.6 | 15.0 | 3.8 | 56.7 | |
Dibamba | 7.3 | 41 | 2.0 | 1.1 | 1.9 | 2.0 | 0.3 | - | 20.1 | 10 ? | - | 28.4 | |
Ndongo (Tiko) | 8.2 | 195 | 14.7 | 8.4 | 2.9 | 9.5 | 1.9 | 0.4 | 87.5 | 37.4 | 0.10 | 162.8 | |
Mungo | |||||||||||||
(pont Tiko) | 7.7 | 110 | 5.2 | 2.4 | 3.1 | 5.3 | 1.0 | 0.9 | 46.9 | 23.1 | 0.08 | 87.9 | |
(Mundame) | 7.6 | 71 | 4.0 | 2.3 | 1.9 | 3.0 | 3.2 | 0.9 | 32.9 | 19.8 | 0.12 | 68.1 | |
Mumaya | |||||||||||||
(Akwen) | 7.3 | 76 | 2.1 | 1.3 | 1.7 | 9.0 | 12.2 | 0.4 | 17.9 | 13.8 | 0.20 | 58.6 | |
Cross | |||||||||||||
(Mamfe) | 7.2 | 32 | 1.7 | 0.7 | 1.5 | 2.2 | 0.6 | 0.4 | 16.5 | 14.6 | 0.13 | 38.3 | |
(Mainyu) | 7.2 | 33 | 1.7 | 1.5 | 1.5 | 2.2 | 1.1 | 0.4 | 17.7 | 13.0 | 0.13 | 39.2 | |
Metchum | |||||||||||||
(Gouri) | 7.5 | 38 | 2.6 | 1.0 | 1.4 | 2.5 | 2.8 | 0.9 | 22.7 | 17.7 | 0.31 | 51.8 | |
Mbam (Goura) | 7.4 | 48 | 4.0 | 1.7 | 2.2 | 3.7 | 0.7 | 0.8 | 24.9 | 16.4 | 0.79 | 51.9 | |
Sanaga | |||||||||||||
(Nachtigal) | 7.1 | 30 | 3.1 | 1.0 | 1.6 | 1.8 | 0.7 | 0.8 | 16.3 | 14.4 | 0.78 | 39.0 | |
Nyong | |||||||||||||
(Mbalmayo) | 6.3 | 20 | 1.8 | 0.8 | 0.9 | 1.0 | 0.4 | 1.2 | 5.1 | 7.0 | 0.9 | 19.1 | |
Logone | |||||||||||||
(Bongor) | 7.7 | 50 | 5.6 | 2.1 | 1.8 | 3.5 | - | 0.0 | 45.7 | ? | ? | ||
Benoue (Lagdo) | 7.5 | 122 | 9.0 | 2.0 | 3.0 | 3.9 | 3.0 | - | 55.0 | 20.0 | - | ||
Mape (Magba) | 7.5 | 44 | 3.2 | 1.2 | 1.5 | 2.3 | 1.4 | 0.5 | 24.4 | 14.6 | 0.43 | 49.5 | |
Noum | |||||||||||||
(Bafoussam) | 7.8 | 88 | 5.6 | 3.2 | 2.3 | 4.1 | 1.4 | 1.0 | 46.3 | 18.7 | 0.30 | 82.9 | |
(Baboungo) | 7.6 | 47 | 3.0 | 1.7 | 1.4 | 2.5 | 0.7 | 1.0 | 26.2 | 16.3 | 0.51 | 53.3 | |
Nkoup | |||||||||||||
(Foumban) | 8.2 | 253 | 17.4 | 10.7 | 3.1 | 12.9 | 1.8 | 1.0 | 92.1 | 25.6 | 0.28 | 164.8 | |
Monkie | |||||||||||||
(Bamessing) | 7.5 | 43 | 2.6 | 1.1 | 1.9 | 2.7 | 2.5 | 0.5 | 24.4 | 17.9 | 0.93 | 54.5 | |
Ngam | |||||||||||||
(Bangante) | 8.2 | 37 | 2.4 | 1.3 | 0.8 | 1.8 | 1.4 | 0.5 | 18.3 | 12.0 | 0.61 | 39.1 | |
Meteu (Baleng) | 8.1 | 111 | 9.6 | 5.2 | 2.3 | 5.9 | 2.4 | 0.0 | 73.2 | 21.6 | 0.24 | 120.4 | |
Nat (Bandjoun) | 7.3 | 32 | 3.0 | 1.0 | 1.9 | 1.6 | 2.8 | 1.0 | 17.7 | 11.2 | 0.40 | 40.6 | |
Chris (Mbo) | 7.9 | 51 | 3.2 | 2.9 | 0.4 | 2.7 | 1.4 | 1.5 | 36.6 | 21.6 | 0.12 | 71.8 | |
Choumi | |||||||||||||
(Bamendou) | 7.5 | 30 | 3.0 | 1.7 | 0.8 | 1.6 | 4.6 | 1.0 | 21.3 | 13.2 | 0.63 | 47.8 | |
Massa | 7.6 | 36 | 3.2 | 1.6 | 1.1 | 2.0 | 1.0 | 1.0 | 25.0 | 12.8 | 0.48 | 48.1 | |
Mifi (bridge) | 7.7 | 57 | 3.6 | 2.2 | 1.1 | 3.4 | 1.7 | 0.5 | 31.1 | 13.5 | 0.22 | 57.3 |
7. BIBLIOGRAPHY
Aubray, 1976
Balarin, 1985
Bell & Canterbery, 1976
Blache et al., 1964
Blache & Miton, 1962
De Kimpe, 1980a,b; 1983
Durand, 1980
Dussart, 1969
FAO, 1979
Grover, Street & Starr, 1980
Laclavere & Loung, 1980
Leveque, 1987b
Min. Econ. Plan, 1981
Moses, 1982
Njock, 1979
SOGREAH, 1982a,b,c; 1983a,b,c
Stauch, 1966; 1977
Van der Meeren, 1980
Welcomme, 1972; 1979