Phytoplankton response to water quality seasonality in a Brazilian neotropical river

Aboim, Igor Lima; Gomes, Doriedson Ferreira; Mafalda, Paulo de Oliveira

doi:10.1007/s10661-019-7882-5

Cited by 14 publications

(9 citation statements)

References 40 publications

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“…Tanto a nivel espacial como temporal esta clase se caracterizó por su abundancia y frecuencia. Debido a su alta representatividad y dominancia, se pudo evidenciar que este grupo presenta una facilidad para formar colonias, ya que posee estructuras que le permiten adherirse a los sustratos disponibles en el ecosistema acuático [31]- [33].…”

Section: Discussionunclassified

Composición y estructura de la comunidad de algas perifíticas del río Alvarado y algunos tributarios (Tolima, Colombia)

Gordillo-Guera

López-Delgado

Trujillo

et al. 2021

Rev. Fac. Cienc. Básicas

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La comunidad fitoperifítica es un componente clave para la estructura y el funcionamiento de los ecosistemas lóticos. Dada la importancia de esta biota en los ambientes dulceacuícolas, se diseñó el presente estudio orientado a identificar cómo responde la comunidad fitoperifítica a variaciones temporales tales como el régimen pluviométrico y los cambios espaciales (por ejemplo, la disponibilidad de hábitat y sustratos en el río Alvarado y algunos tributarios). En cada punto demuestreo se realizaron raspados de la superficie de los sustratos en inmersión de fácil remoción (roca y tronco). En cuanto a la densidad fitoperifítica no se observaron diferencias significativas a nivel espacial, temporal y de sustratos. Con relación a la diversidad de Shannon se encontraron diferencias significativas a nivel temporal. Según el análisis EMNM y el análisis de similitud, la composición de la estructura de la comunidad varió a nivel espacial (R: 0,2059, p: 0,002) y temporal (R: 0,1529, p: 0,002). Las variables fisicoquímicas DBO5, sólidos totales, coliformes totales, fósforos y alcalinidad influyeron de manera significativa en la distribución de los taxones. Los resultados de esta investigación permitieron identificar que, en las estaciones evaluadas, la estructura de la comunidad varía a nivel espacial y temporal debido, principalmente, a factores ambientales que influyen en el proceso de colonización y sucesión.

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Section: Discussionunclassified

Composición y estructura de la comunidad de algas perifíticas del río Alvarado y algunos tributarios (Tolima, Colombia)

Gordillo-Guera

López-Delgado

Trujillo

et al. 2021

Rev. Fac. Cienc. Básicas

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“…Although, the few particularities made during the current study, it is suggested that high nitrogen and phosphorus load offers favourable conditions for the development and growth of different phytoplankton species. Aboim et al (2019) also claim that the low water volume associated with high nutrient levels inputs, from urban or agricultural effluents, result in a great biological diversity and abundance of phytoplankton in some waterbodies. The correlations observed between some taxa and nutrients support the idea that the latter are responsible for phytoplankton densities (Kegne Tenkeu et al 2020).…”

Section: Phytoplankton Organismsmentioning

confidence: 99%

Spatio-Temporal Distribution of Phytoplankton and Water Quality of Some Rivers of Haute Sanaga Department (Central Africa)

Pascale¹,

Felix²,

Hubert³

2022

JBLS

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In Cameroon, rivers are subjected to physicochemical disturbances, which increase the degradation of water quality. The aim of this study was to determine the spatio-temporal diversity of the phytoplankton groups and to evaluate the environmental parameters of the sampling sites in order to assess the quality of water in two hydrographic networks. Physicochemicals analyzes were carried out according to the standard methods while phytoplankton organisms were harvested by direct sampling and analyzed by the Utermöhl method. The analysis of Ammonia Nitrogen, Dissolved Oxygen, Electric Conductivity, Nitrates, Orthophosphates, pH, Temperature, and Turbidity.of water revealed the poor state of health of the water. Data from the Long Dry Season differed significantly (p < 0.05) from those recorded in other seasons. The phytoplankton communities were made up of Chlorophyta, Chrysophyta, Cyanophyta, and Euglenophyta with 11 classes dominated by Bacilliarophyceae (12 210 Ind/mL) and Cyanophyceae (6 208 Ind/mL). Phytoplankton densities were higher the Long Rainy Season and much lower in the Small Dry Season than in the Long Dry Season. Station near NODISCAM indicated significant organic pollution under the effect of agro-industrial discharges operating upstream of this company. For this station, the different values showed significant differences (p < 0.05) from one station to another. Finally, spatio-seasonal variations of phytoplankton densities showed logical responses to changes of physicochemical conditions in the environment. This work highlights the need to treat wastewater from collection channels before its dump into the natural environment, to prevent progressive eutrophication of the receiving aquatic environment, and poisoning by water consumption.

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“…Specifically, concerning Brazilian rivers, some recent studies show the importance of this monitoring and evaluation, such as the use of complex network modeling to evaluate the influence of the parameters on the water quality of rivers in the interior of São Paulo State [ 17 ]; the variation of water quality in a hydrographic basin in Paraná [ 18 ]; the monitoring and modeling for management of the Piabanha River rehabilitation [ 19 ]; the development and application of a new method applied to river samples from a populated tropical urban area [ 20 ]; the evaluation of the influence of the water quality seasonality in a neotropical river in Bahia [ 21 ]; the evaluation of the influence of the land on the variability of water quality in a State of Sergipe river basin [ 22 ]; the development and optimization of an alternative analytical method using an ultrasonic bath to extract metals from Doce River sediment samples in the State of Minas Gerais [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment in Monitoring of Water Analysis of a Brazilian River

et al. 2022

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This study aimed to introduce non-parametric tests and guard bands to assess the compliance of some river water properties with Brazilian environmental regulations. Due to the heterogeneity of the measurands pH, Biochemical Oxygen Demand (BOD), manganese molar concentration, and Escherichia coli, which could be wrongly treated as outliers, as well as the non-Gaussian data, robust methods were used to calculate the measurement uncertainty. Next, based on guard bands, the compliance assessment was evaluated using this previous uncertainty information. For these four measurands, partial overlaps between their uncertainties and the specification limit could generate doubts about compliance. The non-parametric approach for calculating the uncertainty connected to the guard bands concept classified pH and BOD as “conform”, with a risk to the consumer of up to 4.0% and 4.9%, respectively; in contrast, manganese molar concentration and Escherichia coli were “not conform”, with a risk to the consumer of up to 25% and 7.4%, respectively. The methodology proposed was satisfactory because it considered the natural heterogeneity of data with non-Gaussian behavior instead of wrongly excluding outliers. In an unprecedented way, two connected statistical approaches shed light on the measurement uncertainty in compliance assessment of water analysis.

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Phytoplankton response to water quality seasonality in a Brazilian neotropical river

Cited by 14 publications

References 40 publications

Composición y estructura de la comunidad de algas perifíticas del río Alvarado y algunos tributarios (Tolima, Colombia)

Composición y estructura de la comunidad de algas perifíticas del río Alvarado y algunos tributarios (Tolima, Colombia)

Spatio-Temporal Distribution of Phytoplankton and Water Quality of Some Rivers of Haute Sanaga Department (Central Africa)

Risk Assessment in Monitoring of Water Analysis of a Brazilian River

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