Influência da concentração de nutrientes na interação entre duas espécies fitoplanctônicas isoladas do Reservatório de Itupararanga - SP

Vargas, Sarah Regina

doi:10.11606/d.18.2012.tde-03052012-160408

Cited by 3 publications

(3 citation statements)

References 48 publications

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“…Due to this shifting in the phytoplankton group, caution is necessary when using Chl-a as an estimator of phytoplankton biomass [72]. Dinoflagellates and some cyanobacteria species can actually have relatively low Chlorophyll-a content per cell biovolume [73,74]. Certain cyanobacteria species, such as Dolichospermum circinalis and Microcystis aeruginosa, present protoplasm that reflects in the green region; and sometimes these species appear to be dark or brown in color with their gas-filled vesicles scattering light in the blue region [6].…”

Section: Discussionmentioning

confidence: 99%

Using Synergy between Water Limnology and Satellite Imagery to Identify Algal Blooms Extent in a Brazilian Amazonian Reservoir

et al. 2017

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Abstract:Monitoring algal blooms from space is a very challenging task, which becomes particularly difficult when dealing with cyanobacteria blooms. Cyanobacteria are strategic organisms adapted to a wide variety of environmental conditions. In high concentrations, they form scum on the water surface, which is a concern for public health due to the production of toxins, as well as being a nuisance. Knowledge of the ecological role of these organisms is, therefore, essential when trying to estimate their extent from satellite-based data. We present a multidisciplinary approach, based on both the ecological and the optical perspective. This approach is applied in a Brazilian Amazonian reservoir using spatial and temporal scales. The ACOLITE processor is employed to perform atmospheric correction. Extent of the algal bloom is mapped with outputs such as Rayleigh reflectance atmospheric corrected images. Chlorophyll-a estimation is accomplished using a blue-green edge algorithm from the Ocean Biology Processing Group (OBPG), and shows reasonable results (R 2 = 0.95; RMSE = 0.40). The SA red-NIR slope algorithm identifies the extent of the algal bloom at both the spatial and temporal scale. Unfortunately, the performance of these algorithms is most likely affected by weather conditions and glint effects. Therefore, this study recommends that cyanobacteria or phytoplankton studies in this area ensure that their ecological functioning is carefully considered when attempting to map occurrence using limited satellite imagery.

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Section: Discussionmentioning

confidence: 99%

Using Synergy between Water Limnology and Satellite Imagery to Identify Algal Blooms Extent in a Brazilian Amazonian Reservoir

et al. 2017

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“…Due to this shifting in the phytoplankton group, caution is necessary when using Chl-a as an estimator of phytoplankton biomass (Felip and Catalan, 2000). Dinoflagellates and some cyanobacteria species can actually have relatively low Chlorophyll-a content per cell biovolume (Cunha et al, 2013a;Vargas, 2012). Certain cyanobacteria species, such as Dolichospermum circinalis and Microcystis aeruginosa, present protoplasm that reflects in the green region; and sometimes these species appear to be dark or brown in color with their gas-filled vesicles scattering light in the blue region (Chorus, 2012).…”

Section: Discussionmentioning

confidence: 99%

Use of Geospatial and multivariate statistical analysis in support of water quality monitoring of hydroelectric reservoirs

Brandao¹,

Leidiany²

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The size and spatial heterogeneity of reservoirs depend on their morphometry, retention time, thermal stratification, season, and geographical location (Tundisi et al., 2012). The longitudinal distribution of biogeochemical variables depends on the extent of individual zones (Roberto et al., 2009) and due to nutrient inputs and optimal light availability, the maximum development of chlorophyll is located in the transitional zone (Wetzel, 2001).  Broad, deep, lakelike basin  Little flow  Relatively clear water  Organic matter > autochthonous  More oligotrophic

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“…Utermöhl (1958) Em laboratório, um volume de 5 mL da amostra era transferido à uma câmara de Utermöhl para observação sob luz de epifluorescência para a diferenciação entre as cianobactérias e bactérias. A segunda etapa constou da preservação de, aproximadamente, 100 mL da amostra com cerca de 0,5 mL de lugol-acético, que foi acondicionada em frasco âmbar e armazenamento em local escuro para posterior análise.…”

Section: Cianobactériasunclassified

Proposta de modelo de exposição humana à saxitoxina em águas de recreação e de abastecimento público do reservatório Itupararanga

Lerche¹,

Haipek²

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Humana e Saúde Ambiental da CETESB, pelos conselhos, artigos e pela paciência quando precisei de ajuda. À querida Margot, gerente da biblioteca da CETESB, pela paciência e pela amizade. À amiga e geógrafa Carmen Lucia Midaglia, do setor de Águas Interiores da CETESB, pelos mapas, pelos conselhos e pelo apoio. Ao Nelson Menegon Júnior, da Divisão de Águas e Solo da CETESB, pela atenção e ajuda no esclarecimento de questões relacionadas à captação de água. Aos amigos da Bacteriologia da CETESB, pelo apoio e pelo carinho.

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Influência da concentração de nutrientes na interação entre duas espécies fitoplanctônicas isoladas do Reservatório de Itupararanga - SP

Cited by 3 publications

References 48 publications

Using Synergy between Water Limnology and Satellite Imagery to Identify Algal Blooms Extent in a Brazilian Amazonian Reservoir

Using Synergy between Water Limnology and Satellite Imagery to Identify Algal Blooms Extent in a Brazilian Amazonian Reservoir

Use of Geospatial and multivariate statistical analysis in support of water quality monitoring of hydroelectric reservoirs

Proposta de modelo de exposição humana à saxitoxina em águas de recreação e de abastecimento público do reservatório Itupararanga

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