Seasonal variation of biotic and abiotic parameters in parallel neotropical fishponds

Sipaúba-Tavares, Lúcia Helena; Seto, Lucimari Missae; Millan, Rodrigo Ney

doi:10.1590/1519-6984.22712

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…The dominance of electrical conductivity (0.939), followed by alkalinity (0.6831) and chlorophyll concentration (0.5567), along with the negative correlation of moderate loadings of hardness (−0.7882), silicate (−0.6437) and pH (−0.5285) with the Shannon diversity index (Table ) clearly indicated fish diversity across various sampling sites in Peechi reservoir is affected by all these physicochemical variables, similar to the findings of Sipaúba‐Tavares et al . ().…”

Section: Resultsmentioning

confidence: 97%

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Environmental variables and diversity index as a tool for management in tropical man‐made lakes

et al. 2017

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Fish and water samples were collected from various randomly situated sampling sites in two tropical man‐made lakes, Peechi and Pothundi reservoirs, in South India. The fish samples collected during 2014 to 2015 were taxonomically identified and the fish diversity indices of these reservoirs evaluated. The water samples collected were analysed for such environmental variables as pH, electrical conductivity, dissolved oxygen concentration, alkalinity, hardness, chlorophyll and nutrient concentrations. T‐tests indicated significant difference in both the fish diversity and environmental variables between these two reservoirs. The Pearson correlation test identified electrical conductivity as a highly correlated environmental variable to the ichthyodiversity index in Peechi and Pothundi reservoirs, with coefficients of 0.939 and 0.7012, respectively. Principal co‐ordinate analysis also was conducted on the variables to identify the best combination of variables subjective to the particular sampling site influencing the fish diversity. The analyses explained 72.8% of the total variations for Peechi reservoir, which was represented with eigenvalues of 7.53 and 3.393, respectively, for the first two dimensions. A similar analysis of Pothundi reservoir produced eigenvalues 7.05 and 3.01, respectively, for the first two dimensions, explaining 67.1% of the total inertia. The individual factor maps (IFM‐I and IFM‐II) for Peechi and Pothundi reservoirs identified a high diversity at sampling site 3 in Peechi reservoir, and a similar finding for sites 3 and 7 in Pothundi reservoir, being related to the interactions with other environmental variables, which were greatly influenced by the predominance of macrophytes. The latter is a characteristic of rainfed tropical reservoirs, with special reference to the native fish diversity and environmental variables. The findings of this study suggest management decisions for any aquatic system may be considered after prior assessment of environmental variables and the ichthyodiversity index of the indicated waterbody.

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Section: Resultsmentioning

confidence: 97%

“…) is important for improving conservation policies with a view to preserving these ecologically important environments (Sellesbagh & Amara ; Sipaúba‐Tavares et al . ; Duwig et al . ).…”

Section: Introductionmentioning

confidence: 99%

Environmental variables and diversity index as a tool for management in tropical man‐made lakes

et al. 2017

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“…Despite of the low number of net cages employed, studies on the impacts of fish farming in water quality (Guo and Li, 2003;Guo et al, 2009;Kaggwa et al, 2011;Sipaúba-Tavares et al, 2014). Borges et al (2010), in an experiment with tilapia (Oreochromis niloticus L.) in net cages, in a Brazilian subtropical reservoir (Rosana Reservoir), observed an increase in total nitrogen and ammonium concentrations after the installation of the net cages.…”

Section: Discussionmentioning

confidence: 99%

“…These effects are directly dependent on the magnitude of the production system and environment carrying capacity. In general, reduction of water transparency and increase of nitrogen, phosphorus, conductivity and phytoplankton density, mainly Cyanobacteria, were observed (Figueredo and Giani, 2005;Guo et al, 2009;Borges et al, 2010;Sipaúba-Tavares et al, 2014). However, increase in water transparency and decrease in phytoplankton biomass, substantially Cyanobacteria, was recorded by Torres et al (2016) due to grazing by the omnivorous filter-feeding fish Nile tilapia (Oreochromis niloticus Linnaeus, 1758).…”

Section: Introductionmentioning

confidence: 99%

Response of phytoplankton to an experimental fish culture in net cages in a subtropical reservoir

et al. 2016

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This study aimed to evaluate nutrients concentration and spatial-temporal changes in phytoplankton biovolume during an experimental fish culture in net cages in a lateral arm of Salto Caxias reservoir, Brazil. Two sampling stations were placed in the affected lateral arm and other two in a cageless lateral arm. Neither abiotic variables nor phytoplankton biovolume presented significant differences between the treatments. Only temporal changes were confirmed by the analysis performed. Both lateral arms were classified as oligotrophic, reflecting low influence of the net cages. Phytoplankton growth seems to be limited by nitrogen. Biovolume values were, in general, low and five major functional groups were recognized (E, F, G, K and P). In summer higher biovolume values were observed and representatives of Chlorophyceae and Cyanobacteria belonging to the functional groups F and K, respectively, were the most important. In winter phytoplankton was mainly composed by Bacillariophyceae taxa from P group. G group was also restricted to winter and E group occurred in winter and summer. The variations recorded in phytoplankton structure appear to have been mainly influenced by seasonal changes in temperature, precipitation and nutrients availability. The effects of net cages on the abiotic variables and phytoplankton biovolume appear to have been small, probably due to the small number of net cages employed and the system dilution capacity. However, a permanent monitoring of phytoplankton is recommended, since this environment has a carrying capacity, from which the trophic state may increase.Keywords: biovolume, environment impact, fish cultivation, functional groups, nutrients concentration. Resposta do fitoplâncton ao cultivo experimental de peixes em tanques-rede em um reservatório subtropical ResumoEste estudo objetivou avaliar alterações nas variáveis abióticas e no biovolume fitoplanctônico durante o cultivo experimental de peixes em tanques-rede em um braço lateral do reservatório de Salto Caxias, Brasil. Foram selecionadas duas estações de amostragem no braço com tanques-rede e outras duas em um braço sem tanques. As variáveis abióticas e o biovolume fitoplanctônico não apresentaram diferenças significativas entre os locais estudados. Apenas mudanças temporais foram confirmadas pelas análises utilizadas. Os dois braços laterais foram classificados como oligotróficos, refletindo a baixa influência dos tanques-rede. O crescimento do fitoplâncton parece ter sido limitado principalmente por nitrogênio. Os valores de biovolume foram, em geral, baixos e cinco principais grupos funcionais foram observados (E, F, G, K e P). No verão, os maiores valores de biovolume foram observados e representantes de Chlorophyceae e Cyanobacteria dos grupos funcionais F e K, respectivamente, se destacaram. No inverno, o fitoplâncton foi composto principalmente por táxons de Bacillariophyceae do grupo P. O grupo G também foi restrito ao inverno e o grupo E ocorreu no inverno e verão. As variações registradas na estrutura do fit...

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“…Management of higher fi sh stock densities accompanied by higher nutrient loads result in increasing trophic status, ultimately reaching a state of hypertrophy in fi shponds. The main symptoms of this state across the world are the massive development of phytoplankton and cyanobacterial blooms, high fl uctuations in oxygen concentrations and pH, and high values of ammonia nitrogen destabilizing the fi shpond ecosystem (Komárková, 1998;Pechar, 2000;Potužák et al, 2007;Costa et al, 2014;Sipaúba-Tavares et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Water Quality and Phytoplankton Communities in Newly Created Fishponds

Kopp

Řezníčková

Hadašová

et al. 2016

Acta Univ. Agric. Silvic. Mendelianae Brun.

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During the growing season of the year 2012 and 2013 (April-November) hydrobiological and hydrochemical monitoring of newly created fi shponds inhered in Northern Moravia was carried out. Water temperature, dissolved oxygen content, pH, conductivity and water transparency were monitored directly at the sampling place. At the same time, water samples for taxonomical identifi cation of phytoplankton were taken. Chemical parameters stabilization occurred in the second year a er fl ooding. Chemism of fi shponds was infl uenced by higher ration of organic matter in fi shponds sediment and by fertilizing and liming. Water saturation by dissolved oxygen, pH, transparency and chlorophyll-a values fl uctuated in the wide range due the growth of planktonic communities and composition of the fi sh stock. Hydrochemical parameters stabilized in the second year a er the fi rst fl ooding. The phytoplanktonic community of fi shponds during the much of the growing season was formed by the representatives of green algae. Golden-brown algae were dominant during the spring season, in some cases euglenas as well. Diatoms were present in fi shponds from spring to autumn but only to limited degree. The cyanobacteria formed only minor part of phytoplanktonic community, except the fi shpond P1 where they formed dominant group.

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Seasonal variation of biotic and abiotic parameters in parallel neotropical fishponds

Cited by 5 publications

References 12 publications

Environmental variables and diversity index as a tool for management in tropical man‐made lakes

Environmental variables and diversity index as a tool for management in tropical man‐made lakes

Response of phytoplankton to an experimental fish culture in net cages in a subtropical reservoir

Water Quality and Phytoplankton Communities in Newly Created Fishponds

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