A new range of multi-plankton biogeochemical models have recently been developed, designed to advance our understanding of the ocean carbon cycle to improve predictions of its future influence on climate. Synoptic measurements of the different phytoplankton communities are required to validate and ultimately improve such models. Measuring ocean colour from satellite is the only method currently available for synoptically monitoring wide-area properties of ocean ecosystems, such as phytoplankton chlorophyll biomass. Recently, a variety of bio-optical methods have been established that use satellite data to identify and differentiate between either phytoplankton functional types (PFTs) or phytoplankton size classes (PSCs). In this thesis, several of these techniques were evaluated against in situ observations (6504 samples) to determine their ability to detect dominant phytoplankton size classes (micro-, nano- and picoplankton). Results show that spectral-response, ecological and abundance-based approaches can all perform with similar accuracy. However, abundance-based approaches provide better spatial retrieval of PSCs. Based on insights into the abundance-based models, and by utilising a large pigment database, a new three-component model was developed which calculates the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) to the overall chlorophyll-a concentration. Using a globally representative, independent, coupled pigment and satellite dataset the model estimates fractional contributions with a mean accuracy of 9.2 % for microplankton, 17.1 % for nanoplankton and 16.1 % for picoplankton. The effect of optical depth on the model parameters was also investigated and explicitly incorporated into the model. Using the three-component model, the two-component absorption model of Sathyendranath et al. (2001) and Devred et al. (2006) was extended to three-component populations of phytoplankton, namely, pico-, nano- and microplankton. The new model infers total and size-dependent phytoplankton absorption as a function of the total chlorophyll-a concentration. A main characteristic of the model is that all the parameters that describe it have biological or optical interpretation. The three-component model performs better than the two-component model, at retrieving total phytoplankton absorption. Accounting for the contribution of pico- and nanoplankton, rather than the combination of both used in the two-component model, improved significantly the retrieval of phytoplankton absorption at low chlorophyll-a concentrations. The three-component model was applied to a decade of ocean colour observations. In the equatorial region of the Pacific and Indian Oceans, phytoplankton size class anomalies (% total chlorophyll-a) were highly correlated with indices of both the El Niño (La Niña) Southern Oscillation and the Indian Ocean Dipole. Furthermore, in these regions, micro- and nanoplankton size class anomalies were negatively correlated with anomalies of the sea surface temperature, sea surface height and stratification. Whereas, the picoplankton size class anomalies were positively correlated with these physical variables. Results from this thesis indicate that phytoplankton size class can be retrieved from Earth Observation with reasonable accuracy. It is recommended that such information can now be assimilated into multi-plankton biogeochemical models, or alternatively, verify them.

O estudo ocorreu durante o verão e inverno do Canal de São Sebastião e Baía do Araçá, com o objetivo de analisar a influência da massa de Água Central do Atlântico Sul (ACAS), marés e passagens de sistemas frontais na estrutura de tamanho fitoplanctônico, representada pela concentração de clorofila-a nas classes de tamanho do micro, nano e picofitoplâncton. Para tanto foram realizadas coletas semanais, para a obtenção de dados físico-químicos e concentração de clorofila-a. O Canal de São Sebastião foi considerado um sistema em três estratos de profundidade no verão, aonde os eventos episódicos de entrada de ACAS se apresentou de forma variada, trazendo concentrações de nutrientes de baixas a moderadas. No verão, a ACAS foi responsável pela maior quantidade de nitrato, possibilitando um pequeno acúmulo de biomassa da classe do microfitoplâncton, igualando-a a aquela do nanofitoplâncton. No inverno, o silicato, provindo da baía do Araçá, permaneceu com concentrações altas sugerindo o rápido consumo dos outros compostos. As baixas concentrações de nutrientes na baia indicam um alto consumo local. No inverno, com a coluna de água homogênea, devido à mistura, e a entrada de uma menor concentração de nutrientes, porém constante pela Água Costeira, o nanofitoplâncton se sobressaiu em relação às outras classes de tamanho e promoveu a maior concentração de clorofila-a. Os pontos mais rasos amostrados apresentaram maior variabilidade na concentração de clorofila-a em relação aos pontos mais profundos. Isso sugere que tanto a produção como a retirada da clorofila-a ocorram em uma escala temporal menor quanto menor a profundidade. / This study was conducted in São Sebastião Channel and Araçá Bay during summer and winter months in 2012 to analyze the influence of the South Atlantic Central Water (SACW), tides and passage of cold fronts in the phytoplankton size structure, represented by size classes chlorophyll-a concentration of micro, nano and picophytoplankton. Physical and chemical data, as well as chlorophyll-a concentration samples were collected weekly. The São Sebastião Channel was considered a three depth layer system in the Summer, when episodic and variable events of SACW intrusions brought low to moderate nutrients contents. In the Summer, SACW was responsible of the larger nitrate concentration observed, providing a small accumulation of microphytoplankton class biomass, that was equivalent to that of nanophytoplankton. In the Winter, the high silicate concentration was observed in Araçá Bay, suggesting a quickly consumption of other compounds. The overall low nutrient concentration in the Araçá bay suggests a high local consumption. With a homogeneous water column due to mixing, and a probably lower but constant input of nutrients by the Coastal Water mass, the nanophytoplankton predominated over the other size classes and drove the observed higher chlorophyll-a concentration in the Winter. The shallower stations showed a bigger chlorophyll-a concentration variability than the deeper stations, suggesting that both production and removal of chlorophyll-a happen in a smaller temporal scale near shore.

O estudo ocorreu durante o verão e inverno do Canal de São Sebastião e Baía do Araçá, com o objetivo de analisar a influência da massa de Água Central do Atlântico Sul (ACAS), marés e passagens de sistemas frontais na estrutura de tamanho fitoplanctônico, representada pela concentração de clorofila-a nas classes de tamanho do micro, nano e picofitoplâncton. Para tanto foram realizadas coletas semanais, para a obtenção de dados físico-químicos e concentração de clorofila-a. O Canal de São Sebastião foi considerado um sistema em três estratos de profundidade no verão, aonde os eventos episódicos de entrada de ACAS se apresentou de forma variada, trazendo concentrações de nutrientes de baixas a moderadas. No verão, a ACAS foi responsável pela maior quantidade de nitrato, possibilitando um pequeno acúmulo de biomassa da classe do microfitoplâncton, igualando-a a aquela do nanofitoplâncton. No inverno, o silicato, provindo da baía do Araçá, permaneceu com concentrações altas sugerindo o rápido consumo dos outros compostos. As baixas concentrações de nutrientes na baia indicam um alto consumo local. No inverno, com a coluna de água homogênea, devido à mistura, e a entrada de uma menor concentração de nutrientes, porém constante pela Água Costeira, o nanofitoplâncton se sobressaiu em relação às outras classes de tamanho e promoveu a maior concentração de clorofila-a. Os pontos mais rasos amostrados apresentaram maior variabilidade na concentração de clorofila-a em relação aos pontos mais profundos. Isso sugere que tanto a produção como a retirada da clorofila-a ocorram em uma escala temporal menor quanto menor a profundidade. / This study was conducted in São Sebastião Channel and Araçá Bay during summer and winter months in 2012 to analyze the influence of the South Atlantic Central Water (SACW), tides and passage of cold fronts in the phytoplankton size structure, represented by size classes chlorophyll-a concentration of micro, nano and picophytoplankton. Physical and chemical data, as well as chlorophyll-a concentration samples were collected weekly. The São Sebastião Channel was considered a three depth layer system in the Summer, when episodic and variable events of SACW intrusions brought low to moderate nutrients contents. In the Summer, SACW was responsible of the larger nitrate concentration observed, providing a small accumulation of microphytoplankton class biomass, that was equivalent to that of nanophytoplankton. In the Winter, the high silicate concentration was observed in Araçá Bay, suggesting a quickly consumption of other compounds. The overall low nutrient concentration in the Araçá bay suggests a high local consumption. With a homogeneous water column due to mixing, and a probably lower but constant input of nutrients by the Coastal Water mass, the nanophytoplankton predominated over the other size classes and drove the observed higher chlorophyll-a concentration in the Winter. The shallower stations showed a bigger chlorophyll-a concentration variability than the deeper stations, suggesting that both production and removal of chlorophyll-a happen in a smaller temporal scale near shore.

Indiana University-Purdue University Indianapolis (IUPUI) / Phytoplankton size classes (pico-plankton, nano-plankton, and micro-plankton) provide information about pelagic ocean ecosystem structure, and their spatiotemporal variation is crucial in understanding ocean ecosystem structure and global carbon cycling. Remote sensing provides an efficient approach to estimate phytoplankton size compositions on global scale. In the first part of this thesis, a global sensitivity analysis method was used to determine factors mainly controlling the variations of remote sensing reflectance and inherent optical properties inverse algorithms. To achieve these purposes, average mass-specific coefficients of particles were first calculated through Mie theory, using particle size distributions and refractive indices as input; and then a synthesis remote sensing reflectance dataset was created using Hydrolight. Based on sensitivity analysis results, an algorithm for estimating phytoplankton size composition was proposed in the second part. This algorithm uses five types of spectral features: original and normalized remote sensing reflectance, two-band ratios, continuum removed spectra, and spectral curvatures. With the spectral features, phytoplankton size compositions were regressed using support vector machine. According to validation results, this algorithm performs well with simulated and satellite Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS), indicating that it is possible to estimate phytoplankton size compositions through satellite data on global scale.