Data mining for environmental analysis and diagnostic: a case study of upwelling ecosystem of Arraial do Cabo

Pereira, G. C.; Coutinho, Ricardo; Ebecken, Nelson F. F.

doi:10.1590/s1679-87592008000100001

Cited by 24 publications

(12 citation statements)

References 16 publications

(6 reference statements)

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“…The Cabo Frio region is influenced by coastal, tropical and subtropical waters (VALENTIN, 1984b;PEREIRA et al, 2008). The contribution of these different water types induces spatial and temporal variation in composition and abundance of bacterioplankton, phytoplankton and zooplankton, and community changes correlate with upwelling events (VALENTIN et al, 1987b;CURY et al, 2011).…”

Section: Physical-biological Interactions: Ecological Consequences Ofmentioning

confidence: 99%

Biophysical interactions in the Cabo Frio upwelling system, southeastern Brazil

et al. 2012

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A B S T R A C TThe rising of cold water from deeper levels characterizes coastal upwelling systems. This flow makes nutrients available in the euphotic layer, which enhances phytoplankton production and growth. On the Brazilian coast, upwelling is most intense in the Cabo Frio region (RJ). The basic knowledge of this system was reviewed in accordance with concepts of biophysical interactions. The high frequency and amplitude of the prevailing winds are the main factor promoting the rise of South Atlantic Central Water, but meanders and eddies in the Brazil Current as well as local topography and coast line are also important. Upwelling events are common during spring/summer seasons. Primary biomass is exported by virtue of the water circulation and is also controlled by rapid zooplankton predation. Small pelagic fish regulate plankton growth and in their turn are preyed on by predatory fish. Sardine furnishes an important regional fish stock. Shoreline irregularities define the embayment formation of the Marine Extractive Reserve of Arraial do Cabo making it an area with evident different intensities of upwelled water that harbors high species diversity. Consequently, on a small spatial scale there are environments with tropical and subtropical features, a point to be explored as a particularity of this ecosystem. R E S U M OOs sistemas costeiros de ressurgência são caracterizados pela ascensão de águas frias que tornam os nutrientes disponíveis na camada eufótica para o crescimento e aumento da produção fitoplanctônica. No Brasil, a região do Cabo Frio (RJ) é o principal sistema de ressurgência costeira. O objetivo desse artigo foi revisar o atual conhecimento desse sistema através dos conceitos sobre interações biofísicas. A ascensão da Água Central do Atlântico Sul ocorre devido à alta frequência e amplitude dos ventos, à presença de meandros e vórtices na Corrente do Brasil, além da topografia local e da linha de costa. Os eventos de ressurgência são comuns durante os períodos de primavera/verão e a biomassa primária é exportada devido à circulação da água, sendo também controlada pela rápida predação zooplanctônica. Os pequenos peixes pelágicos regulam o crescimento do plâncton e são consumidos pelos peixes predadores, resultando em um importante estoque pesqueiro regional. A irregularidade da costa define as enseadas do Cabo Frio, na Reserva Extrativista Marinha do Arraial do Cabo, apresentando distintas influências das águas ressurgidas e resultando em grande diversidade de espécies. Consequentemente, ambientes com características tropicais e subtropicais são observados dentro de uma pequena escala espacial, o que constitui uma particularidade desse ecossistema.

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Section: Physical-biological Interactions: Ecological Consequences Ofmentioning

confidence: 99%

Biophysical interactions in the Cabo Frio upwelling system, southeastern Brazil

et al. 2012

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“…The action of E-NE winds results in a shunting of the nutrient-depleted (<1 µM·L −1 NO 3 -N) surface TW of Brazil Current to offshore followed by the up-flow of the deeper (~300 meters) and nutrient-rich (~12 µM·L −1 NO 3 -N) SACW. The inverse pattern comes with the S-SW winds when cold fronts bring the oligotrophic TW back to the coast [49]. According [50] these processes have a direct impact on the quantity and composition of the plankton communities, shifting the trophic structure.…”

Section: Study Areamentioning

confidence: 99%

Genetic Optimization of Artificial Neural Networks to Forecast Virioplankton Abundance from Cytometric Data

Pereira¹,

Oliveira²,

Ebecken³

2013

JILSA

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Since viruses are able to influence the trophic status and community structure they should be accessed and accounted in ecosystem functioning and management models. So, this work met a set of biological, chemical and physical time series in order to explore the correlations with marine virioplankton community across different trophic gradients. The case studied is the Arraial do Cabo upwelling system, northeast of Rio de Janeiro State in Southeast coast of Brazil. The main goal is to evolve three type of artificial neural network (ANN) by genetic algorithm (GA) optimization to predict virioplankton abundance and dynamic. The input variables range from the abundance of phytoplankton, bacterioplankton and its ratios acquired by one in situ and another ex situ flow cytometers. These data were collected with weekly frequency from August 2006 to June 2007. Our results show viruses being highly correlated to their host, and that GA provided an efficient method of optimizing ANN architectures to predict the virioplankton abundance. The RBF-NN model presented the best performance to an accuracy of 97% for any period in the year. A discussion and ecological interpretations about the system behavior is also provided.

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“…This region can be considered yet a pristine area and the hydrologic conditions are strongly influenced by the wind pattern that influences the distribution of water masses. Winds that blow from northeastern and the Earth's rotation result in a shunting of the nutrient-depleted surface TW of BC to offshore followed by the up-flow of the deeper (∼300 m) and nutrient-rich of SACW mass (Pereira et al 2008). Upwelling events and inorganic nutrients are then supplied to euphotic zone by the exchange of water between nutrient-depleted surface water and nutrient-rich deeper water.…”

Section: Study Areamentioning

confidence: 99%

Large and mesoscale meteo-oceanographic patterns in local responses of biogeochemical concentrations

Oliveira

Pereira

Oliveira

et al. 2011

Environ Monit Assess

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Investigations surrounding the variability of productivity in upwelling regions are necessary for a better understanding the physical-biological coupling in these regions by monitoring systems of environmental impacts according to the needs of the regional coastal management. Using a spatial and temporal database from National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric (NCAR) Research reanalysis, Quick Scatterometer vector wind, and surface stations from the Southeast coast of Brazil, we investigate the meteorological influences due to the large-scale systems in the variability of the nutrient and larvae concentration, and chlorophyll a, describing statistically relationships between them in upwelling regions. In addition, we used multivariate analysis, such as PCA and clustering to verify spatial and temporal variances and describe more clear the structure and composition of the ecosystem. Correlation matrix analyses were applied for different water masses present in the study area to identify the relations between physical and biogeochemical parameters in a region, where frequently upwelling occur. Statistical approaches and seasonal variability show that the period of November to March is more sensitive to nutrients (1.20 mg/m(3) for chlorophyll a, 2.20 μmol/l for total nitrogen and 5.5 ml/l for DO) and larvae concentrations (120 org/m(3) for most of the larvae, except for cirripedia that presented values around 370 org/m(3)) relating to the influence of large and mesoescale meteorological patterns. The spatial and temporal variables analyzed with multivariate approach show meaningful seasonality variance of the physical and biological samples, characterizing the principal components responsible for this variance in spring and summer (upwelling period), emphasizing the monitoring of species as crustaceans and mussels that are present in the local economy. Then, the spring and summer season are characterized by high productivity due to the occurrence of upwelling in this period.

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Data mining for environmental analysis and diagnostic: a case study of upwelling ecosystem of Arraial do Cabo

Cited by 24 publications

References 16 publications

Biophysical interactions in the Cabo Frio upwelling system, southeastern Brazil

Biophysical interactions in the Cabo Frio upwelling system, southeastern Brazil

Genetic Optimization of Artificial Neural Networks to Forecast Virioplankton Abundance from Cytometric Data

Large and mesoscale meteo-oceanographic patterns in local responses of biogeochemical concentrations

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