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An Assessment of plankton diversity as an water quality indicator in small man-made reservoirs in the Mzingwane catchment, Limpopo basin, Zimbabwe

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par Busane Lefranc Basima
University of Zimbabwe - MSc 2005
  

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3.1.3 Overall plankton abundance

The study sites exhibited seasonal variation in the abundance of phytoplankton and zooplankton (Fig 3.7 and Fig. 3.8). The highest abundance of zooplankton was recorded in February while the highest abundance of phytoplankton was recorded in April.

A clustering of stations according to plankton abundance using complete linkage is presented in Fig 3.9 and Fig.3.10. These figures show Sibasa and Mpopoma reservoirs' abundance being very dissimilar to all other reservoirs in February while Sibasa, Makoshe and Mezilume are very dissimilar to others in April. No similarity is found between reservoirs according to their presence or not in the National Park or in the communal lands. A first level similarity is found in February between Chitampa (National Park), Makoshe and Dewa (Communal Lands) similarity in abundance of stations according to their occurrence in the National Park or in the communal lands is depicted. However, these Figures show how close the studied reservoirs were in terms of abundance. Different linkages between the two sampling periods can be found as well when comparing these clusters.

CHITAMPA

MEZILUME

MPOPOMA

MAKOSHE

MALEME

SIBASA

DENJE

DEWA

0 20 40 60 80 100 120

(Dlink/Dmax)*1 00

February

Fig. 3.9 Clustering of stations according to the overall plankton abundance/ February

MPOPOMA

CHITAMPA

MAKOSHE

MEZILUME

MALEME

SIBASA

DENJE

DEWA

0 20 40 60 80 100 120

(Dlink/Dmax)*1 00

April

Fig. 3.10 Clustering of stations according to the overall plankton abundance/ April

3.1.4 Relationships between physico-chemical parameters and plankton species in the studied reservoirs

A comparison of the National Park and communal lands for a number of parameters and species relationships showed significant differences (annexes 5 and 6). The following elements showed a significant difference taking Mezilume (National Park) and Makoshe (Communal lands) as an example: pH of water (P<0.01), electroconductivity of water (P<0.001), total nitrogen (P <0.05), the cladoceran Moina (P <0.05), the cyanophyte Anabaena (P <0.05), and the dinophyte Ceratium (P <0.05).

The colour of water may have had an influence on the following elements using ANOVA: pH of water (P<0.01), electroconductivity of water (P<0.001), total nitrogen (P<0.0 1), hardness of water (P<0.0 1), soil' s electroconductivity (P<0.0 1), the species Daphnia (P<0.001), Brachionus (P<0.01), Microdides (P <0.05), nauplii cyclopoids (P <0.05), nauplii calanoids (P <0.05), Anabaena (P<0.01), Peridinium (P<0.001), Melosira (P <0.05), Scenedesmus (P <0.05), Pediastrum (P<0.01), Hydrodictyon (P<0.01), Dinobryon (P <0.05), Pleurotaenium (P<0.01), Arthrodesmus (P <0.05), Fragilaria (P <0.05) and Zygnema (P <0.05). The soil type also showed a significant influence on some phytoplankton species.

The clustering of all the components of the main biota in relation to the water quality is presented on Fig. 3.11 and 3.12. These figures highlight the relationships of species found in the study area with its chemistry. Total phosphorus, total nitrogen in the small reservoirs and electroconductivity of soils had a relationship with zooplankton (Daphnia, Rotifera, Brachionus and Ostracoda) and phytoplankton taxa (Navicula, Phacus, Lepadella, Sphaerocystis, Staurodesmus, Cosmarium and Sporangium). The pH of water and soils, water hardness and electroconductivity also influenced some species (Fig. 3.11 and 3.12).

-0.2

-0.4

-0.6

-0.8

0.8

0.6

0.4

0.2

0.0

1.0

-0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0

TNWATER

ECSOIL ROTIFERA

BRACHION TPWATER

OSTRACOD

TN and TP

DAPHNIA

Factor Loadings, Factor 1 vs. Factor 2
Rotation: Unrotated
Extraction: Principal axis factoring

CLADOCER

MICRODID

NAUPLCYC

Factor 1

NAUPLCA

CALANOID

KERATLL

CERIODAP MACROTHR

CYCLOPS

PHSOIL

MOINA

HARDNWAT

PHWATER

PH and EC

ECWAT

Fig. 3.11 Relationship between chemistry and zooplankton in the studied reservoirs

Taxa abbreviations: Nauplii cyclopoids (NAUPLCYC), Nauplii calanoids (NAUPLCA), Microdides (MICRODID), Cladocera (CLADOCER),

Abiotic elements abbreviations: Total Nitrogen (TNWATER), Total Phosphorus in water (TPWATER), electroconductivity in soils (ECSOIL), water hardness (HARDWAT), water' s electroconductivity (ECWAT)

Factor Loadings, Factor 1 vs. Factor 2
Rotation: Unrotated
Extraction: Principal axis factoring

 

0.6 0.4 0.2 0.0 -0.2 -0.4 -0.6 -0.8 -1.0 -1.2

 
 

STAURODE

 

NAVICULA COSMARIU

MELOSIRA

 

PHACUS TPWATER

RHIZOSOL

ECWAT

 

LEPADELL TNWATER

 

ANABAENA

 
 
 

HARDNWAT

GYROSIGM

 

ECSOIL

PHWATER

 
 
 
 
 

SPHAEROC

 

PH, hardness and EC

 

SPORANGI

TN and TP

 

PHSOIL

 
 
 
 
 

CLOSTERI

 
 
 

SYNEDRA

 
 
 

PERIDINI EUGLENA

 
 
 

CERATIUM

 

-1.2 -0.8 -0.4 0.0 0.4 0.8

Factor 1

Fig. 3.12 Relationship between chemistry and phytoplankton in the studied reservoirs.

Taxa abbreviations: Gyrosigma (GYROSIGM), Lepadella (LEPADELL), Staurodesmus (STAURODE), Cosmarium (COSMARIO), Rhizosolenia (RHIZOSOL), Sphaerocystis (SPHAEROC), Sporangium (SPORANGI), Closterium (CLOSTERI).

Abiotic elements abbreviations: Total Nitrogen (TNWATER), Total Phosphorus in water (TPWATER), electroconductivity in soils (ECSOIL), water hardness (HARDWAT), water' s electroconductivity (ECWAT)

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