Monitoring Population Parameters for Fisheries Management: I. Species Composition, Abundance and Distribution Patterns of Fishes in Paya Bungor
A one year direct monitoring study offish populations was conducted in Paya Bungor. The lake comprised 12 families and 43 species of freshwater fishes. The cyprinids dominated the fish community, contributing to about 54% followed by the catfishes (16%). More species were recorded in the northern...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
1986
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| Online Access: | http://psasir.upm.edu.my/id/eprint/2424/1/Monitoring_Population_Parameters_for_Fisheries_Management.pdf http://psasir.upm.edu.my/id/eprint/2424/ |
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| Summary: | A one year direct monitoring study offish populations was conducted in Paya Bungor. The
lake comprised 12 families and 43 species of freshwater fishes. The cyprinids dominated the fish
community, contributing to about 54% followed by the catfishes (16%). More species were recorded
in the northern part of the lake. Riverzne species accounted for more than 80% of the species composition
in Paya Bungor. A high percentage of predatory species (49%) was also observed. Amblyrhynchichthys
truncatus was the most abundant species (33%) followed by Thynnichthys thynnoides
(20%) and Puntius schwanenfeldii (18%). Together with 12 other cyprinids, they made up more than
90% of the total catch. Catfishes, comprising 7 species constituted only 1.4%. The general pattern of
seasonal abundance indicate that more fishes are found in the months of January, March, June and
September while less fish occur in the months of February, May, August and September. This pattern
zs relat.ed tv fluctuations in water levels, WL, water temperature, T, and conductivity, C, as exemplified
by the equation: Population abundance, p = -886 + 135 WL + 23.77 T - 0.151 C. The
heterogenous fish population in Paya Bungor exhibit spatial and temporal patterns of distribution.
The species in Paya Bungor are log-normally distributed with the distribution curve as follows:
. 2
S(R) = 5.366 exp -(0.365) |
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