Significance of nitrogen fixation in fish ponds

Samra, M. I. El; Oláh, János

doi:10.1016/0044-8486(79)90039-5

Cited by 23 publications

(6 citation statements)

References 9 publications

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“…Denitrification was considered negligible because there was hardly any nitrate in the ponds (Kaggwa 2006). Nitrogen fixation has been considered negligible in other studies (El Samara & Oláh 1979; Lin, Tansakul & Apihapath 1988) but in this study N:P ratios were low (<7). Coupled with high densities of Cyanobacteria (including those with heterocysts like Anabaena circinalis ), these conditions favoured N fixation and a rate equation for N fixation was added to the model, contributing to the phytoplankton biomass.…”

Section: Methodscontrasting

confidence: 45%

Evaluation of nitrogen cycling and fish production in seasonal ponds (‘Fingerponds’) in Lake Victoria wetlands, East Africa using a dynamic simulation model

Kaggwa

Dam

Kipkemboi

et al. 2010

Aquaculture Research

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A dynamic model was developed to simulate nitrogen (N) £ows and ¢sh production in seasonal wetland ¢sh ponds (Fingerponds) based on organic manuring and natural food production. The model incorporates pond water depth, food availability, ¢sh stocking densities, ¢sh and ¢ngerling weights at stocking, reproduction rate, manure type and application rates. The ponds were fertilized fortnightly with 1042 kg ha À 1 chicken manure. The model captured the dynamics of hydrology, nutrients and ¢sh and demonstrated that similar fundamental processes underlie ¢sh production in these systems. The model predicted annual ¢sh yields of up to 2800 kg ha À 1 . Simulated ¢sh production, chlorophyll a and dissolved inorganic N concentrations were comparable with ¢eld measurements. Using the model, N budgets and estimates of all N £ows were made. Most of the N input into the ponds (60^70%) accumulated in the bottom detritus of the pond and only 8^10% was converted into ¢sh biomass, of which about half consisted of small ¢sh. Fish production in Fingerponds was limited by turbidity induced light limitation and by nutrient limitation. Reduction of variability of ¢sh production should come from reduced turbidity and su⁄cient nutrient input to minimize light limitation and maximize ¢sh growth.

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Section: Methodscontrasting

confidence: 45%

Evaluation of nitrogen cycling and fish production in seasonal ponds (‘Fingerponds’) in Lake Victoria wetlands, East Africa using a dynamic simulation model

Kaggwa

Dam

Kipkemboi

et al. 2010

Aquaculture Research

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“…In the laboratory (Jiwyam, 1996) and in fertilized fishponds (El Samara and Olah, 1979;Lin et al, 1988) N 2 fixation by symbiotic bacteria and blue-green algae is suppressed by increasing concentrations of TAN. Findlay et al (1994) and Hendzel et al (1994) showed that a molar ratio of TN:TP above 13 completely inhibited N 2 fixation.…”

Section: Nitrogen Gainsmentioning

confidence: 99%

Nitrogen transformations and balance in channel catfish ponds

Gross

Boyd

Wood

2000

Aquacultural Engineering

151

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“…Indeed, nitrogen derived from rain constituted a much greater¯ux than from nitrogen ®xation ( Table 2). This is contrary to nitrogen budgets for semiintensive and intensive ponds, in which the contribution of nitrogen from precipitation is proportionally much less (Krom, Porter & Gordin 1985;Schroeder 1987;Krom & Neori 1989;Avnimelech, Mozes, Diab & Kochba 1995;Paez-Osuna, Guerrero-Galvan, Ruiz-Fernandez & Espinoza-Angulo 1997;Funge-Smith & Briggs 1998) and in which nitrogen ®xation is a much greater source of N (El Samra & Olah 1979;Acosta-Nassar, Morell & Corredor 1994;Kochba, Diab & Avinmelech 1994;Lin, Teichert-Coddington, Green & Veverica 1997). In the Vietnamese ponds, 98% of the nitrogen supplied to the ponds comes via tidal exchange, mostly as DON.…”

Section: Discussionmentioning

confidence: 87%

Carbon and nitrogen budgets in shrimp ponds of extensive mixed shrimp-mangrove forestry farms in the Mekong delta, Vietnam

Alongi

Johnston

Xuan

2000

Aquaculture Research

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Mass balance estimates of carbon and nitrogen flux through two extensive shrimp ponds in the Mekong delta, Vietnam, were constructed to identify major sources and sinks of organic matter potentially available for shrimp production. Nutrient transformations in the sediments were measured to further assess rates of decomposition and burial and quality of organic matter. Tidal exchange was the major pathway for inputs and outputs of carbon and nitrogen in both ponds, with net primary production, nitrogen fixation and precipitation being minor inputs. No fertilizers or artificial feeds were added to either pond. The nutrient budgets identified burial and respiration as the next most important outputs after tidal exchange losses of particulate and dissolved carbon and nitrogen. There was no measurable denitrification in either pond, and volatilization was negligible. Mineralization efficiency of carbon in the water column was high (> 100%) in pond 23 reflecting rapid respiration rates; efficiency was lower (36%) in pond 12 waters. Mineralization efficiency of sediment nutrients averaged 34% for C and 41% for N in the pond with a higher annual shrimp yield (pond 12); lower mineralization efficiencies (11% for C, 10% for N) were calculated for the lower yield pond (pond 23). High burial efficiencies for both C (66–89%) and N (59–90%) in the sediments of both ponds suggest that little organic matter was shunted into biological production. Conversion efficiency for shrimp averaged 16% for C and 24% for N from pond 12, and 6% for C and 18% for N from pond 23. The high quantity but low quality of organic matter entering the ponds coupled with other factors, such as poor water quality, limits shrimp productivity. On average, nutrient outputs were greater than inputs in both ponds. This imbalance partly explains why shrimp yields are declining in these ponds.

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Significance of nitrogen fixation in fish ponds

Cited by 23 publications

References 9 publications

Evaluation of nitrogen cycling and fish production in seasonal ponds (‘Fingerponds’) in Lake Victoria wetlands, East Africa using a dynamic simulation model

Evaluation of nitrogen cycling and fish production in seasonal ponds (‘Fingerponds’) in Lake Victoria wetlands, East Africa using a dynamic simulation model

Nitrogen transformations and balance in channel catfish ponds

Carbon and nitrogen budgets in shrimp ponds of extensive mixed shrimp-mangrove forestry farms in the Mekong delta, Vietnam

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