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4. FISHERY RESOURCES OF THE LARGER AND DEEPER LACUSTRINE SYSTEMS

The distinguishing characteristics of the large and the deep lakes are the following:

  1. Lakes Tanganyika and Malawi are very deep lakes with de-oxygenated bottoms and with much of their endemic fauna somewhat still intact. The two lakes are still dominated by the cichlids, most of which are endemic (see Table 2).

  2. Lake Victoria is relatively shallow (maximum depth 79 m, mean depth 40 m). It has higher fish yields per unit area than Lakes Malawi and Tanganyika. The original endemic haplochromine and tilapiine cichlids have changed. Its fisheries now depend on the introduced Nile perch and the Nile tilapia (Oreochromis niloticus) as well as on the indigenous pelagic cyprinid - Rastrineobola argentea (dagaa). Lake Victoria, has now a very much disrupted food web system. Many haplochromine zooplankton feeders and molluscs eaters have declined. Hence, here are abundant lake flies and possibly Rastrineobola has also benefited from the decline of Haplochromis and other insectivores.

  3. Lake Kivu is fairly small (583 km2) and deep (maximum depth 489 m, mean depth 240 m) with a de-oxygenated layer. Its fishery depends on the introduced clupeid fish. Its annual fish yield per unit area is not exactly known;

  4. Lake Edward (elsewhere known as Idi Amin) is large (2325 km2) and somewhat deep (117 m maximum and 34 m mean depth). This lake is characterized by nilotic fauna.

  5. Lake Mobutu Sese Seko (or Albert) is relatively shallow (58 m maximum depth, 25 m mean depth). It also has a nilotic fauna: and

  6. Lake Turkana (formerly Rudolf) has an area of 7200km2 and maximum depth of 120 m. The lake has a nilotic fauna and a relatively low productivity level (22 kg/ha).

Table 1 : Indices of Fish Production for Various Lakes in Eastern and Central Africa

LakesPhysical and chemical characteristicsFish Production
kg/ha
MEI2
Altitude
(m)
Maximum depth
(m)
Mean depth
(m)
Volume m3
( × 109)
Area
km2
Conductivity
mhos cm-1
Salinity
1
Albert/Mobutu616–6195825   140.06,800  675medium5927.0
Bangweulu1,160104   11.22,800  -low32-
Edward91411734   78.02,325  830medium8624.4
George914-2.50.5250–270200low15672.0
Kivu1,463489240   2,700.0583  1,100medium-4.5
Kyoga1,10086   -2,700  320low3895.0
Malawi469–475758426   8,400.030,800  210low90.5
Mweru927373–1036.64,580  -low65-
Tanganyika7731,470700   18,940.033,000  610medium220.8
Turkana406120-   -7,200  3,300high22-
Victoria1,1347940   2,700.068,000  97very low432.4

1 Salinity scale
very low - with conductivity less than 100 μ mhos
low - with conductivity 100<500 μ mhos
medium - with conductivity 500>3,000 μ mhos
high - with conductivity more than 3,000 μ mhos

2 MEI = Morpho-edaphic Index = conductivity/mean depth

Table 2: Physical Characteristics and Fish Production for Seven African Great Lakes

LakesArea
km sq.
Depth (m)Fish Yield
kg/ha
Fauna
Max.Mean
Albert/Mobutu  6800  58  2559Dominated by a nilotic fauna
Edward/Amin  2325117  3486
Kivu    583489240-Introduced clupeids
Malawi30800758426  9Deep lakes with their endemic fauna unchanged
Tanganyika330001470  70022
Victoria68000  79  4043now dominated by introduced fish and dagaa
Turkana  7200120-22a nilotic fauna but lake is drying up

Note: Location of most of the lakes referred to in Tables 1, 2 and 3 are indicated in Figure 1 (a sketch map of riverine and lacustrine systems of East and Central Africa)

Figure 1

Figure 1: Sketch map showing rivers and lakes of East and Central Africa.

Table 3: Comparative estimated catches and potential yields of seven African Great Lakes

LakesAnnual catch
(1000 t)
Potential annual yield (1000 t)Remarks
Albert/Mobutu1525–34shows signs of overfishing
Uganda  618–25
Zaire  516     
Edward1415–16with signs of overfishing
Uganda  34     
Zaïre1110     
Kivu    2–4  2–14introduced pelagic resources
Rwanda26    
Zaïre28    
Malawi/Nyasa??    still with prospects for fisheries expansion
Malawi     36–3773–98
Mozambique??    
Tanzania     10–15  15–100
Tanganyika85295    with prospect for development
Burundi1623  
Tanzania25121   
Zambia1418  
Zaïre30133   
Victoria  200-? 250-?Dramatic changes in stocks:
60% Lates
15% Rastrineobola
25% Oreochromis niloticus and other species
Kenya103  ?
Tanzania150  ?
Uganda107  ?
Turkana/Omo R.?? 
Kenya4–1720present-day lake level very low and low catches
Ethiopia??

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