Modeling the effect of light on phytoplanktonic growth dynamics : A Review

Khanna, D. R.; Bhutiani, R.; Chandra, Kumar S.

doi:10.36953/ecj.2005.0612315

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…During the study it has been reported that members of Chlorophyceae were found to be maximum in winter, moderate in summer and minimum in monsoon season. The minimum density of Chlorophyceae in monsoon season may be attributed to high turbulence which has profound effect on phytoplankton growth that plays a negative role (Dahagaonkar et al, 2012).A more or less similar observations has been reported by Khanna et al (2009) and in River Ganga at Haridwar. Maxima of Chlorophyceae count in winter may be due to high DO and bicarbonate levels prevailing during these periods, which favour its quick growth and Spirogyra sp.…”

Section: Resultsmentioning

confidence: 75%

Qualitative and quantitative study of phytoplankton of River Wainganga near Markandadeo, Dist. Gadchiroli (M.S.)

Tijare¹

2020

ECJ

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Phytoplankton is a heterogeneous group of micro-organism and plays a major role in the food chain of aquatic ecosystems by biosynthesis of organic matter and thus they act as primary producers of food. The phytoplankton of many Indian rivers consists of diverse assemblages of major taxonomic groups. Many of these forms have different physiological and environmental requirements. During the investigation period of two years phytoplankton were collected randomly from three different sites i.e. S1, S2 and S3 of river Wainganga for qualitative and quantitative analysis. During the course of study total 31 species of phytoplankton were recorded belonging to five different classes. Seasonal analysis of plankton from this lotic water body showing wide diversity of phytoplankton. Chlorophyceae or green algae comprise an important phytoplanktonic group both in terms of abundance (15 species) and frequently occurrence and Bacillariophyceae (Diatoms) was represented by seven species. Myxophyceae or blue-green comprises of six species and Euglenophyceae were represented by two species i.e. Euglena sp. and Phacus sp. while Dinophyceae was represented by only one species of genus Ceratium.

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Section: Resultsmentioning

confidence: 75%

Qualitative and quantitative study of phytoplankton of River Wainganga near Markandadeo, Dist. Gadchiroli (M.S.)

Tijare¹

2020

ECJ

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“…The physiological response of phytoplankton to light availability is tied to depth (Khanna et al 2005), vertical mixing (Lewis et al 1984), and the spectral quality of available light (Sathyendranath and Platt 2007). Light availability is thought to be an important factor controlling vertical variations in community composition (Márquez‐Artavia et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Distinct habitat and biogeochemical properties of low‐oxygen‐adapted tropical oceanic phytoplankton

Cox

Brewin

Dall’Olmo

et al. 2023

Limnology & Oceanography

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We use data collected by Biogeochemical Argo (BGC‐Argo) float, over a 5‐year period (2016–2021), to study the dynamics of a unique low‐oxygen‐adapted phytoplanktonic community in the eastern tropical North Pacific. We isolate this community using a model that partitions vertical profiles of chlorophyll a (Chl a) and particulate backscattering into the contributions of three communities of phytoplankton: C1, the community in the mixed‐layer; C2, at the deep Chl a maximum; and C3, in low‐oxygen waters at the base of the euphotic zone. We find that C3 has a similar chl‐specific particulate backscattering to C2, both lower than C1. C2 and C3 contribute significantly to integrated stocks of Chl a, both at around 41%, and both around 30% of integrated particulate backscattering (after removing a background signal attributed to nonalgal particles). Found at depths of around 100 m, the peak biomass of C3 is lower than C2 (located at around 60 m), and yet, C3 makes similar contributions to integrated stocks, because it has a broader peak than C2. In relation to C1 and C2, C3 thrives in a lower temperature, higher density, lower light, lower oxygen, and higher saline habitat. This work illustrates how BGC‐Argo floats, in combination with simple conceptual models, can be used to observe the dynamics of unique communities of phytoplankton in extreme environments. The projected climate‐driven changes in oxygen minimum zones add urgency to understand the vulnerabilities of these communities both in terms of stocks and composition.

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“…In winter (December‐February), the temperature was the lowest (<27 °C; Figure 4a) and the salinity was relatively higher (>36.3 psu; Figure 4b), which increased the upper‐layer density of the EAS (0–50 m, >23.5 kg m −3 ; Figure 4c) and initiated convection (Khanna et al., 2009). The intensification of winter convection destabilized the upper thermocline/nitracline and deepened the mixed layer (>50 m; Figure 12b), modulating vertical nutrient fluxes.…”

Section: Discussionmentioning

confidence: 99%

“…Environmental factors (temperature, PAR, etc.) are fundamental, highly nonlinear drivers of phytoplankton activities (X. Y. Chen et al., 2015; Gómez‐Ocampo et al., 2017; Hu et al., 2021; Khanna et al., 2009; Thomas et al., 2017), but we know very little about how the variation in phytoplankton is controlled by these factors, especially in terms of its vertical distribution (Sauzède et al., 2017; Uitz et al., 2006). In addition, MLD and nutrients (nitrate and silicate) in the EAS show strong seasonality due to the time‐varying atmospheric forcing such as wind stress and dust deposition.…”

Section: Discussionmentioning

confidence: 99%

“…The AS is known to have seasonal phytoplankton blooms during summer and winter driven by strong vertical mixing (Anju et al., 2020; Khanna et al., 2009; Madhupratap et al., 1996; Roxy et al., 2016). In this study, we found that the summer and winter blooms in the EAS mainly occurred at the layer of 0–50 m, and supported by the high nitrate (Figures 3a and 12).…”

Section: Discussionmentioning

confidence: 99%

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Effect of El Niño‐Related Warming on Phytoplankton's Vertical Distribution in the Arabian Sea

Chen

et al. 2021

JGR Oceans

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In this study, we analyzed the effect of warming in ecological responses due to seasonal cycle and 2015/2016 El Niño event on the vertical distribution of phytoplankton within the entire euphotic zone (0–100 m) in the eastern Arabian Sea using BGC‐Argo data during 2015–2019. We found that phytoplankton in different layers had different responses to warming. Phytoplankton biomass (defined as the integrated chlorophyll a concentration in this paper) decreased in 0–50 m layer while it increased in 50–100 m layer during spring (March‐June) and 2015/2016 El Niño event. At the same time, the vertical expansion of warming (temperature >28 °C), together with nitrate and silicate co‐limitation, triggered the formation of subsurface chlorophyll maximum layer, which became thinner and deeper during these warming periods. Results from the generalized additive models showed that the monthly 28 °C isotherm can be used as a first approximation to separate vertical water column where warming had opposite signed effects. For a 0–50 m layer of poor nutrients due to the mixed layer shoaling and reduced atmospheric deposition, a negative effect of warming on phytoplankton was seen if the temperature was higher than 28 °C. But, for a 50–100 m layer of rich nutrients, a positive effect of warming on phytoplankton was seen if the temperature was within the range of 25.5–28.0 °C and the light was enhanced. These results shed light on the effect of global warming on subsurface phytoplankton and may help research of the same topic regarding future warming.

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Modeling the effect of light on phytoplanktonic growth dynamics : A Review

Cited by 6 publications

References 19 publications

Qualitative and quantitative study of phytoplankton of River Wainganga near Markandadeo, Dist. Gadchiroli (M.S.)

Qualitative and quantitative study of phytoplankton of River Wainganga near Markandadeo, Dist. Gadchiroli (M.S.)

Distinct habitat and biogeochemical properties of low‐oxygen‐adapted tropical oceanic phytoplankton

Effect of El Niño‐Related Warming on Phytoplankton's Vertical Distribution in the Arabian Sea

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