Light as a driver of phytoplankton growth and production in the freshwater tidal zone of a turbid estuary

Domingues, Rita B.; Anselmo, Tânia P.; Barbosa, Ana B.; Sommer, Ulrich; Galvão, Helena M.

doi:10.1016/j.ecss.2010.12.008

Cited by 81 publications

(43 citation statements)

References 72 publications

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“…This result is not in itself surprising given the myriad studies that have demonstrated non-constant relationships between the C/Chl, C/PP and Chl/PP ratios (Eriksen and Iversen 1995;Tang 1996;Henriksen et al 2002;Domingues et al 2011;Morán and Scharek 2015;Jakobsen and Markager 2016). This study builds upon empirical knowledge and opens up the next chapter regarding description and comparison of the seasonal patterns in standing stock biomass and PP, that Table 2 Estimated parameters in Eq.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, the pigment composition varies with the different phytoplankton groups where dinoflagellates, for example, generally have a higher C to Chl ratio than diatoms (Geider 1987;Tang 1996). Therefore, a seasonal decoupling of C and Chl will occur because (1) the dynamic pigment composition within phytoplankton cells is highly influenced by nutrients, temperature and irradiance (Eriksen and Iversen 1995;Henriksen et al 2002;Domingues et al 2011) and (2) because the species composition of the phytoplankton community changes through the different seasons of the year in temperate waters (see, e.g. Holligan and Harbour 1977;Domingues et al 2005).…”

Section: Discussionmentioning

confidence: 99%

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How Well Does Chlorophyll Explain the Seasonal Variation in Phytoplankton Activity?

Lyngsgaard

Markager

Richardson

et al. 2017

Estuaries and Coasts

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The seasonal variation in phytoplankton activity is determined by analysing 1385 primary production (PP) profiles, chlorophyll a (Chl) concentration profiles and phytoplankton carbon biomass concentrations (C) from the period 1998-2012. The data was collected at six different stations in the Baltic Sea transition zone (BSTZ) which is a location with strong seasonal production patterns with light as the key parameter controlling this productivity. We show that the use of Chl as a proxy for phytoplankton activity strongly overestimates the contribution from the spring production to annual pelagic carbon flow. Spring (February and March) Chl comprised 16-30% of the total annual Chl produced, whereas spring C was much lower (8-23%) compared to the annual C. Spring PP accounted for 10-18% of the total annual PP, while the July-August production contributed 26-33%, i.e. within the time frame when zooplankton biomass and grazing pressure are highest. That is, Chl failed in this study to reflect the importance of the high summer PP. A better proxy for biomass may be C, which correlated well with the seasonal pattern of PP (Pearson correlation, p < 0.05). Thus, this study suggests to account for the strong seasonal pattern in C/Chl ratios when considering carbon flow in coastal systems. Seasonal data for PP were fitted to a simple sinusoidal wave model describing the seasonal distribution of PP in the BSTZ and were proposed to present a better parameterizaton of PP in shallow stratified temperate regions than more commonly applied proxies.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

How Well Does Chlorophyll Explain the Seasonal Variation in Phytoplankton Activity?

Lyngsgaard

Markager

Richardson

et al. 2017

Estuaries and Coasts

View full text Add to dashboard Cite

show abstract

“…In statistical models, temperature and IC correlated best with the seasonal pattern, but temperature peaked in late July, out of phase with P practice of normalizing the rate of photosynthesis to the concentration of chlorophyll a (chl a), which is easily measured and amenable to satellite remote sensing (Platt & Sathyendranath 1988). Parameters of the P-E curve are typically measured over seasonal cycles in studies from 1 to several years duration (Domingues et al 2011, Gameiro et al 2011. P B max typically displays a seasonal pattern with a winter minimum and summer maximum, driven principally by temperature (Lohrenz et al 1994, Gameiro et al 2011.…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton photosynthetic capacity in a shallow estuary: environmental correlates and interannual variation

Gallegos¹

2012

Mar. Ecol. Prog. Ser.

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Parameters in the photosynthesis−irradiance (P-E) relationship of phytoplankton were measured at weekly to bi-weekly intervals for 20 yr at 6 stations on the Rhode River, Maryland (USA). Variability in the light-saturated photosynthetic rate, P B max , was partitioned into interannual, seasonal, and spatial components. The seasonal component of the variance was greatest, followed by interannual and then spatial. Physiological models of P B max based on balanced growth or photoacclimation predicted the overall mean and most of the range, but not individual observations, and failed to capture important features of the seasonal and interannual variability. P B max correlated most strongly with temperature and the concentration of dissolved inorganic carbon (IC), with lesser correlations with chlorophyll a, diffuse attenuation coefficient, and a principal component of the species composition. In statistical models, temperature and IC correlated best with the seasonal pattern, but temperature peaked in late July, out of phase with P B max , which peaked in September, coincident with the maximum in monthly averaged IC concentration. In contrast with the seasonal pattern, temperature did not contribute to interannual variation, which instead was governed by IC and the additional lesser correlates. Spatial variation was relatively weak and uncorrelated with ancillary measurements. The results demonstrate that both the overall distribution of P B max and its relationship with environmental correlates may vary from year to year. Coefficients in empirical statistical models became stable after including 7 to 10 yr of data. The main correlates of P B max are amenable to automated monitoring, so that future estimates of primary production might be made without labor-intensive incubations.KEY WORDS: Phytoplankton · Photosynthesis · Primary production · Estuary · Rhode River · Interannual variability Resale or republication not permitted without written consent of the publisher

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“…In fact, periods of higher seston concentration coincided with low PP rates in the present study, and this finding was particularly noticeable in early October (Figs 3 and 6). Therefore, light availability, which is mainly controlled by local weather and secondarily by suspended matter loads, can be regarded as the main factor regulating phytoplankton production in Babitonga Bay, as has also been observed in the Bay of San Francisco, USA (Kimmerer et al 2012) and other estuarine areas (Domingues et al 2011, Cloern et al 2014). …”

Section: Discussionmentioning

confidence: 88%

Primary productivity and phytoplankton dynamics in a subtropical estuary: a multiple timescale approach

et al. 2016

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Summary:Temporal variability of physicochemical parameters and phytoplankton primary productivity, abundance and composition were investigated at Babitonga Bay, southern Brazil, using a hierarchical sampling design on the scales of months, weeks and days during spring 2012 and summer 2013. Only temperature, respiration rates and concentrations of dissolved oxygen and silicate exhibited significant differences in the greatest timescale (seasons: spring; summer). In contrast, most physicochemical parameters, such as salinity and the concentration of nitrogen compounds, varied mainly among weeks and days. This short-scale variability was similarly observed for the microphytoplankton abundance, ranging from 0.04 to 1.7×10 6 cells L -1 during a bloom of the diatom Skeletonema costatum. Two major phytoplankton assemblages were associated with high primary production rates: >30 μm centric diatoms such as Cyclotella spp. and Cymatodiscus sp., in spring; and a summer assemblage dominated by smaller, bloom-forming diatoms (S. costatum and Eucampia cornuta). Primary production ranged from 10.5 to 1793 mg C m -2 d -1 and varied significantly between days and months, being associated with the photosynthetic active radiation level and weather conditions on the sampling day. Abundance of specific plankton taxa appeared controlled by trophic interactions, as revealed for the mixotrophic, toxic dinoflagellate Dinophysis acuminata complex and its prey, the ciliate Mesodinium rubrum.Keywords: primary production; phytoplankton; physicochemical parameters; temporal variability; different time scales; Babitonga Bay; Dinophysis acuminata.Producción primaria y dinámica del fitoplancton en un estuario subtropical: un enfoque múltiple de escalas de tiempo Resumen: Se investigaron la variabilidad temporal de los parámetros físico-químicos y la producción primaria (PP), abundancia y composición del fitoplancton en la Bahía de Babitonga, sur de Brasil, utilizando un diseño de muestreo jerárquico en las escalas de meses, semanas y días, durante la primavera/2012 y verano/2013. Sólo la temperatura, las tasas de respiración y las concentraciones de oxígeno disuelto y silicato mostraron diferencias significativas en las escalas de tiempo mayores (estaciones: primavera; verano). En contraste, la mayoría de los parámetros fisicoquímicos, tales como la salinidad y la concentración de compuestos de nitrógeno, varió principalmente entre semana y días. Tal variabilidad de corta escala se observó de manera similar para la abundancia de microfitoplancton, oscilando desde 0,04 a 1.7×10 6 céls. L -1 durante una floración de la diatomea Skeletonema costatum. Se asociaron dos importantes grupos de fitoplancton con altas tasas de PP: diatomeas céntricas >30 μm como Cyclotella spp. y Cymatodiscus sp., en primavera; y un grupo de verano dominado por pequeñas diatomeas formadoras de floraciones (S. costatum y Eucampia cornuta). La PP varió de 10.5 a 1793 mg C m -2 d -1 y varió significativamente entre días y meses, siendo asociada con el nivel de radiación fot...

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Light as a driver of phytoplankton growth and production in the freshwater tidal zone of a turbid estuary

Cited by 81 publications

References 72 publications

How Well Does Chlorophyll Explain the Seasonal Variation in Phytoplankton Activity?

How Well Does Chlorophyll Explain the Seasonal Variation in Phytoplankton Activity?

Phytoplankton photosynthetic capacity in a shallow estuary: environmental correlates and interannual variation

Primary productivity and phytoplankton dynamics in a subtropical estuary: a multiple timescale approach

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