Quali-quantitative water behaviour in an intensive swine production catchment in the Atlantic Forest biome, Southern Brazil.

Agriculture is an essential economic activity in Brazil. However, it is also the main source of water quality degradation. Monitoring catchments with agricultural land use is a way to generate information on a scale to identify causes and sources of water quality degradation. This work used monitoring data derived from hydrology and the quality of surface and underground water in an intensive agricultural catchment in the Atlantic Forest biome. The Fortaleza River catchment is located in the western part of Santa Catarina state in southern Brazil and has 62 km2 of drainage area. Hydrological and water quality monitoring was conducted for 7 years at two fluviometric stations, three lysimeters, one meteorological station, and one piezometer. Data on precipitation, temperature, water flow, surface runoff, drainage, and water quality were used. Statistical analyses were also developed. Precipitation between 2013 and 2019 presented a homogeneous distribution in monthly and annual data, with January and July the months with the highest and lowest values, respectively. Statistical difference in the average and Q95 flows was found in upstream and downstream fluviometric sections. In terms of quality, statistical differences were identified for ammonium, nitrate, and potassium concentrations, which had higher concentrations in lysimeter runoff, indicating direct influence of agricultural activity on water quality. Principal component analysis (PCA) indicated that (i) surface water presented a positive relationship in Component 1 for the magnesium-calcium, sulphate-chloride, and acetate-bromide groups and a negative relationship for phosphate-nitrate; (ii) in lysimeters, the positive relationship occurred for Component 2 for the phosphate-chloride and sulphate-nitrate groups and was negative for ammonium-lithium and calcium-potassium-magnesium; and (iii) in piezometer, positive relationships were found for chloride-sodium and phosphate-nitrite pairs, while negative relationships were found for calcium-magnesium.

Kinetic identification of phenolic compounds and potential production of caffeic acid by Ganoderma lipsiense in solid-state fermentation.

Basidiomycetes fungi have been utilized for the production of several compounds with bioactive properties, such as phenolic compounds. The present work quantified and identified the phenolic compounds produced in a kinetic study (63 days) and evaluated the antimicrobial activity from the extract obtained by Ganoderma lipsiense cultivation in solid-state fermentation using red rice. Phenolic compounds were identified by high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS) and caffeic acid content was measured by high-performance liquid chromatography with diode-array detection (HPLC-DAD). Caffeic and syringic acids were produced by G. lipsiense. In the control medium (red rice), the following compounds were identified: p-coumaric acid, salicylic acid, ferulic acid and vanillin. High concentrations of caffeic acid (0.977 µg g-1) were measured in 49 days. Antimicrobial activity was investigated against Escherichia coli, Pseudomonas aeruginosa and Staphylococcus aureus using a minimum inhibitory concentration (MIC) technique. Ganoderma lipsiense extract was only effective against P. aeruginosa. These data have proved to be satisfactory in the study of biosynthesis of caffeic acid and antibacterial compounds by G. lipsiense in solid-state fermentation with red rice.

Influence of hydroclimatic variations on solute concentration dynamics in nested subtropical catchments with heterogeneous landscapes.

Despite global efforts to monitor water quality in catchments worldwide, tropical and subtropical zones still lack data to study the influence of human activities and climate variations on solute dynamics. In this study, we monitored ten solutes every two weeks for six years (2010-2015) in three nested catchments (2 to30 km2), which contained heterogeneous landscapes composed of forests and agricultural land, and one small neighboring forested catchment (0.4 km2). Data analysis revealed that i) rainfall, discharge and solute concentrations displayed no clear seasonal patterns, unlike many catchments of the temperate zone; ii) solute concentrations in the agricultural area were higher than those in the forested area, but both areas displayed similar temporal patterns due to a common hydroclimatic driver; iii) all four catchments displayed a chemostatic export regime for most of the solutes, similar to catchments of the temperate zone; and iv) a positive correlation was observed between anion concentrations and ENSO (El Niño-Southern Oscillation) index. ENSO appeared to influence both hydroclimatic and anion dynamics in these subtropical catchments.

Simulating transport of nitrogen and phosphorus in a Cambisol after natural and simulated intense rainfall.

Intense rainfall adversely affects agricultural areas, causing transport of pollutants. Physically-based hydrological models to simulate flows of water and chemical substances can be used to help decision-makers adopt measures which reduce such problems. The purpose of this paper is to evaluate the performance of SWAP and ANIMO models for simulating transport of water, nitrate and phosphorus nutrients, during intense rainfall events generated by a simulator, and during natural rainfall, on a volumetric drainage lysimeter. The models were calibrated and verified using daily time series and simulated rainfall measured at 10-minute intervals. For daily time-intervals, the Nash-Sutcliffe coefficient was 0.865 for the calibration period and 0.805 for verification. Under simulated rainfall, these coefficients were greater than 0.56. The pattern of both nitrate and phosphate concentrations in daily drainage flow under simulated rainfall was acceptably reproduced by the ANIMO model. In the simulated rainfall, loads of nitrate transported in surface runoff varied between 0.08 and 8.46 kg ha(-1), and in drainage form the lysimeter, between 2.44 and 112.57 kg ha(-1). In the case of phosphate, the loads transported in surface runoff varied between 0.002 and 0.504 kg ha(-1), and in drainage, between 0.005 and 1.107 kg ha(-1). The use of the two models SWAP and ANIMO shows the magnitudes of nitrogen and phosphorus fluxes transported by natural and simulated intense rainfall in an agricultural area with different soil management procedures, as required by decision makers.

Environmental monitoring model for a drainage basin obtained through spectral analysis of time series.

The quality of results of an environmental monitoring plan is limited to the weakest component, which could be the analytical approach or sampling method. Considering both the possibilities and the fragility that sampling methods offer, this environmental monitoring study focused on the uncertainties caused by the time component. Four time series of nutrient concentration at two sampling points (PB1 and PB2) in the Ribeirão Garcia basin in Blumenau, Brazil, which were significantly correlated to the spatial component, were considered with a 2-hour resolution to develop efficient sampling models. These models were based on the time at which there was the highest tendency toward adverse environmental effects. Fourier spectral analysis was used to evaluated the time series and resulted in two sampling models: (1) the SMCP (sampling model for critical period) that operated with 100% efficiency for registering the highest concentration of nutrients and was valid for 83% of the studied parameters; and (2) the SMGCP (sampling model for global critical period) that operated with 83 and 50% efficiency for PB1 and PB2, respectively.

Relações entre diversidade íctia e fatores hidrodinâmicos de um riacho na bacia do rio Uruguai / Relationship between ichthyofaunal diversity and hydrodynamic factors in a stream of Uruguay river basin

Physical, chemical and environmental factors in watercourses can exert influence on the structure and diversity of species of aquatic biota. Among the physical factors there are hydrodynamic conditions. Disposal variations result into complex dynamics of fish populations and communities. This study aims at assessing the correlation between hydrodynamic variables in the Fortaleza stream, affluent of Uruguay River, and species diversity. The methodology included the collection of hydrodynamic (average depth of the water column, average water flow speed and discharged water in the pluvial metric section) and biological (fish collection in the areas of influence on pluvial metric sections) data. Shannon diversity indices, equitability and the similarity index were calculated with biological data. It has been collected a sample with 527 fishes. There were 25 species, being 4 exotic ones and 4 species not-yet-classified. Such species included 4 orders, 7 families and 13 genera classified. The Shannon index ranged from 1.43 to 2.68 nats/individual. The equitability index was always above 0.8 indicating that individuals are well distributed among different species. The similarity index of Jaccard ranged between 20 and 80%. The lowest figures were obtained from the sample area located near the source. The correlations between the Shannon index and hydrodynamic features resulted in R² coefficients ranging between 0.59 and 0.83. These results show that diversity of species is influenced by the hydrodynamic characteristics. Nevertheless, either depth of water column or discharge average speed is not significant enough to explain the spatial variability of the diversity of species.

Fatores físicos, químicos e ambientais em um curso de água podem influenciar a estrutura e a diversidade das espécies da biota aquática. Entre os fatores físicos têm-se as condições hidrodinâmicas. Variações do escoamento resultam em dinâmicas complexas das populações e comunidades de peixes. Este trabalho tem por objetivo avaliar as correlações entre as variáveis hidrodinâmicas no Arroio Fortaleza, afluente do rio Uruguai, e a diversidade das espécies. A metodologia compreendeu a coleta de dados hidrodinâmicos (profundidade média da coluna de água, velocidade média do escoamento e vazão escoada na seção fluviométrica) e biológicos (coleta de peixes nas áreas de influência das seções fluviométricas). Com os dados biológicos foram calculados os seguintes índices: o de diversidade de Shannon, o de equitabilidade e o de similaridade. Coletaram-se 527 exemplares, de 25 espécies, dentre elas 4 exóticas e 4 ainda não classificadas. Essas 25 espécies estão classificadas em 4 ordens, 7 famílias e 13 gêneros. O índice de Shannon variou entre 1,43 e 2,68 nats/indivíduo. O índice de equitabilidade foi sempre superior a 0,8, indicando que os indivíduos estão bem distribuídos entre as diferentes espécies. O índice de similaridade de Jaccard variou entre 20 e 80%. Os menores valores foram obtidos para a área amostral situada próximo da nascente. As correlações entre o índice de Shannon e as características hidrodinâmicas resultaram em coeficientes R² variando entre 0,59 e 0,83. Estes resultados evidenciam que a diversidade das espécies é influenciada pelas características hidrodinâmicas. No entanto, a profundidade da coluna de água ou a velocidade média do escoamento não são suficientemente significativas para explicar a variabilidade espacial da diversidade das espécies isoladamente.