black water river
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2021 ◽  
Vol 25 (2) ◽  
pp. 151-158
Author(s):  
E.D. Anwana ◽  
F.O. Ogbemudia ◽  
R.E. Ita ◽  
P.E. Sunday

This study assessed the influence of hydrological variables on macrophytes in a Black Water River ecosystem of Enyong River in Itu and Ibiono Local Government Areas of Akwa Ibom and Cross Rivers States, Nigeria. Four vegetation plots were chosen and in each of the plots, four belt transect were laid. In each transect, macrophyte were systematically sampled in four 10 m × 10 m quadrat at regular intervals. Macrophytes were identified to species level and their frequency and density determined. Water samples were obtained in each quadrat where the macrophytes were sampled and analyzed for their physicochemical properties using standardized methods. Altogether, 10 macrophyte species were encountered. Vossia cuspidata had the highest density (100.00±8.00 st/ha) and frequency values (100 %). Sacciolepis africana had the least density of 7.10±0.45 st/ha while Ludwigia octovalvis, Persicaria senegalensis, andSacciolepis africana had the least frequency of 25 %, respectively. The pH of the water was strongly acidic (5.54±0.03), electrical conductivity was low (20.00±5.77 µs/cm), temperature (29.00±1.10 ºC), Dissolved Oxygen (DO) (9.20±0.12 mg/l) and turbidity (7.10±0.06 NTU) values were high while Biological Oxygen Demand (BOD) (2.00±0.29 mg/l) Total Dissolved Solids (TDS) (10.00±0.29 mg/l) and Total Suspended Solids (TSS) were low (5.00±1.15 mg/l). Water Nutrients followed this decreasing order; chloride (3.55±0.02 mg/l) > nitrate (2.45±0.03 mg/l) > sulphate (2.02±0.06 mg/l) > phosphate (0.08±0.01 mg/l) and sulphide (0.03±0.02 mg/l). Heavy metals also followed this descending order; Pb (0.50±0.03 mg/l) > Zn (0.07±0.02 mg/l) > Cu (0.03±0.02 mg/l). Canonical Correspondence Analysis delineated 11 hydrological variables (temperature, pH, sulphate, turbidity, phosphate, BOD, nitrate, DO, TDS, sulphide and TSS) which exerted great influence on macrophyte distribution. V. cuspidata had affinity to pH and temperature, Sacciolepis africana had affinity to turbidity and BOD, Ludwigia octovalvis and Nymphaea lotus had affinity to sulphate and chloride, respectively, while Ipomoea aquatica and Alternanthera sessils had affinity to phosphate. On the other hand, Persicaria senegalensis, Salvinia molesta, Azolla pinnata and Ceratophyllum demersum had affinities to sulphide, DO, TSS and TDS, respectively. Since hydrological variables regulate macrophyte diversity and distribution, this study calls for consistent, monitoring and management of this ecosystem against future environmental changes. Keywords: Aquatic plants, Black water, Canonical Correspondence Analysis, Ordination


2020 ◽  
Vol 733 ◽  
pp. 139193
Author(s):  
Ora E. Johannsson ◽  
Marcio S. Ferreira ◽  
D. Scott Smith ◽  
Anne Crémazy ◽  
Chris M. Wood ◽  
...  

2018 ◽  
pp. 84-87
Author(s):  
Kate Salley Palmer

2017 ◽  
Author(s):  
Ryota Nakajima ◽  
Elvis V Rimachi ◽  
Edinaldo N Santos-Silva ◽  
Adi Khen ◽  
Tetsuo Yamane ◽  
...  

The boundary zone between two different hydrological regimes is often a biologically enriched environment with distinct planktonic communities. In the center of the Amazon River basin, muddy white water of the Amazon River meets with black water of the Negro River, creating a conspicuous visible boundary spanning over 10 km along the Amazon River. Here, we tested the hypothesis that the confluence boundary between the white and black water rivers concentrates prey and is used as a feeding habitat for juvenile fish by investigating the abundance, biomass and distribution of mesozooplankton and ichthyoplankton communities across the two rivers. Our results show that mesozooplankton abundance and biomass were higher in the black-water river compared to the white-water river; however an exceptionally high mesozooplankton abundance was not observed in the confluence boundary. Nonetheless we found the highest abundance of ichthyoplankton in the confluence boundary, being up to 9-fold higher than in adjacent rivers. The confluence boundary between black and white water rivers may function as a boundary layer that offers benefits of both high zooplankton prey concentrations (black-water) and low predation risk (white-water). This forms a plausible explanation for the high abundance of ichthyoplankton in the confluence zone of black and white water rivers.


2017 ◽  
Author(s):  
Ryota Nakajima ◽  
Elvis V Rimachi ◽  
Edinaldo N Santos-Silva ◽  
Adi Khen ◽  
Tetsuo Yamane ◽  
...  

The boundary zone between two different hydrological regimes is often a biologically enriched environment with distinct planktonic communities. In the center of the Amazon River basin, muddy white water of the Amazon River meets with black water of the Negro River, creating a conspicuous visible boundary spanning over 10 km along the Amazon River. Here, we tested the hypothesis that the confluence boundary between the white and black water rivers concentrates prey and is used as a feeding habitat for juvenile fish by investigating the abundance, biomass and distribution of mesozooplankton and ichthyoplankton communities across the two rivers. Our results show that mesozooplankton abundance and biomass were higher in the black-water river compared to the white-water river; however an exceptionally high mesozooplankton abundance was not observed in the confluence boundary. Nonetheless we found the highest abundance of ichthyoplankton in the confluence boundary, being up to 9-fold higher than in adjacent rivers. The confluence boundary between black and white water rivers may function as a boundary layer that offers benefits of both high zooplankton prey concentrations (black-water) and low predation risk (white-water). This forms a plausible explanation for the high abundance of ichthyoplankton in the confluence zone of black and white water rivers.


2015 ◽  
Vol 23 (4) ◽  
pp. 677-693 ◽  
Author(s):  
Wolfgang J. Junk ◽  
Florian Wittmann ◽  
Jochen Schöngart ◽  
Maria T. F. Piedade

2010 ◽  
Vol 91 (8) ◽  
pp. 1730-1737 ◽  
Author(s):  
Tim Rixen ◽  
Antje Baum ◽  
Harni Sepryani ◽  
Thomas Pohlmann ◽  
Christine Jose ◽  
...  

2010 ◽  
Vol 12 (6) ◽  
pp. 1013-1024 ◽  
Author(s):  
Thaissa Sobreiro ◽  
Carlos Edwar de Carvalho Freitas ◽  
Karen Lorena Prado ◽  
Fabíola Aquino do Nascimento ◽  
Rafaela Vicentini ◽  
...  

2008 ◽  
Vol 90 (2) ◽  
pp. 129-140 ◽  
Author(s):  
Tim Rixen ◽  
Antje Baum ◽  
Thomas Pohlmann ◽  
Wolfgang Balzer ◽  
Joko Samiaji ◽  
...  

2007 ◽  
Vol 52 (6) ◽  
pp. 2410-2417 ◽  
Author(s):  
M. Alkhatib ◽  
T. C. Jennerjahn ◽  
Joko Samiaji

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