Non-Redfieldian C:N:P ratio in the inorganic and organic pools of the Bay of Bengal during the summer monsoon

Sahoo, Deepika; Saxena, Himanshu; Khan, Mohammad Atif; Rahman, Abdur; Kumar, Sanjeev; Sudheer, A. K.; Singh, Arvind

doi:10.3354/meps13498

Cited by 11 publications

(10 citation statements)

References 87 publications

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“…In a previous study in the Bay during summer, monsoonal winds and mesoscale eddies were suggested to have a mixed effect on the elemental proportions of organic and nutrient pools in the top layer (Sahoo et al 2020). Nutrients were lower in ACEs compared to those in the non-eddy (NE) stations.…”

Section: Introductionmentioning

confidence: 79%

“…Until now, several C:N:P stoichiometric studies have been performed in the Atlantic Ocean, the Pacific Ocean, and southern parts of the Indian Ocean (Martiny et al 2013a, b;Singh et al 2015a;Garcia et al 2018). However, only a couple of such studies have been reported from the Bay of Bengal (hereafter the Bay) (Garcia et al 2018;Sahoo et al 2020). The Bay, situated in the northeastern Indian Ocean, receives a high freshwater influx (1.6 9 10 12 m 3 year -1 ) (Subramanian 1993).…”

Section: Introductionmentioning

confidence: 99%

“…The basin experiences seasonal reversal of monsoonal winds, cyclones and mesoscale eddies (Mukherjee et al 2019). These processes might affect the elemental proportions of the Bay (Sahoo et al 2020).…”

Section: Introductionmentioning

confidence: 99%

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Role of eddies and N2 fixation in regulating C:N:P proportions in the Bay of Bengal

et al. 2021

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Recent observations and numerical simulations have profoundly established that the C:N:P ratios in the ocean deviate from the canonical Redfield Ratio (106:16:1). Physical and biogeochemical processes have been hypothesized to be responsible for this deviation. However, a paucity of concurrent observations on biogeochemical and physical parameters have barred us to understand their exact role on the C:N:P ratios. For this purpose, we have sampled the Bay of Bengal for its C, N, and P contents in the organic and inorganic pools from 5 to 2000 m depth at eight stations (five coastal and three open ocean) during boreal spring 2019. Mesoscale anticyclonic eddies were identified at two of the sampling stations, where nutrient concentrations were lower in the top layer (5 m to the depth of chlorophyll maximum) compared to those at the non-eddy stations. Mean (NO 3 -?NO 2 -):PO 4 3ratio was lower at the anticyclonic eddy stations compared to that at the non-eddy stations in the top layer. Yet C:N:P ratios in the particulate and dissolved organic matter in the top layer were the same at anticyclonic eddy and non-eddy stations. Overall the mean C:N:P ratios were 249:39:1 in particulate organic matter and 2338:146:1 in dissolved organic matter in the top layer. Biological N 2 fixation was not a driver in controlling the N:P ratio of the export flux and the subsurface water nutrient ratios during spring. Although the Bay of Bengal receives large riverine influx, its influence in changing the C:N:P ratios was small during this study.

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Section: Introductionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

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Role of eddies and N2 fixation in regulating C:N:P proportions in the Bay of Bengal

et al. 2021

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“…In the future, we also need to conduct careful sensitivity analyses of how different satellite-based algorithms of Chl, C phyto , and POC as well their depth-dependent changes would affect satellite-informed estimates of ecosystem stoichiometry. For example, a recent study suggests a substantial shift in POC:POP from the surface to DCM in the Indian Ocean during summer (Sahoo et al, 2020). It is inherently challenging to characterize C:P accurately in subtropics with phytoplankton FIGURE 7 | Comparisons of modeled and observed zonal POC:POP for (A) summer and (B) winter.…”

Section: Caveats Limitations and Future Needsmentioning

confidence: 99%

Toward Determining the Spatio-Temporal Variability of Upper-Ocean Ecosystem Stoichiometry From Satellite Remote Sensing

2020

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“…In the future, we also need to conduct careful sensitivity analyses of how different satellite-based algorithms of Chl, C phyto , and POC as well their depth-dependent changes would affect satellite-informed estimates of ecosystem stoichiometry. For example, a recent study suggests a substantial shift in POC:POP from the surface to DCM in the Indian Ocean during summer (Sahoo et al, 2020). It is inherently challenging to characterize C:P accurately in subtropics with phytoplankton stoichiometry models (Garcia et al, 2020) as phytoplankton turnover happens quickly on a time scale of days (Malone et al, 1993).…”

Section: Caveats Limitations and Future Needsmentioning

confidence: 99%

Towards determining the spatio-temporal variability of upper-ocean ecosystem stoichiometry from satellite remote sensing

Tanioka

Fichot

Matsumoto

2020

Preprint

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The elemental stoichiometry of particulate organic carbon (C), nitrogen (N), and phosphorus (P) connects the C fluxes of biological production to the availability of the limiting nutrients in the ocean. It also influences the marine food-web by modulating zooplankton's feeding behavior and organic matter decomposition by bacteria. Despite its importance, there is a general paucity of information on how the global C:N:P ratio evolves seasonally and interannually, and large parts of the global ocean remain devoid of observational data. Here, we present a new method combining satellite ocean-color data with a cellular-trait-based model to characterize the spatio-temporal variability of the phytoplankton stoichiometry in the surface mixed layer of the ocean. This new method is demonstrated specifically for the C:P ratio. The approach was applied to phytoplankton growth rates and chlorophyll-to-carbon ratios derived from MODIS-Aqua and maps of temperature-dependent nutrient limitation to generate global and seasonal maps of upper-ocean phytoplankton C:P. Taking it a step further, we determined the C:P of the bulk particulate organic matter, using MODIS-Aqua estimates of particulate organic carbon and phytoplankton biomass. Our results are within 95% confidence interval of available data for both horizontal distributions and time series, indicating our new method's viability in accurately quantifying seasonally resolved global ocean bulk C:P. We anticipate the new hyperspectral capabilities of the NASA PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) mission will facilitate the determination of phytoplankton stoichiometry for different size classes and further enhance the predictability of marine-ecosystem stoichiometry from space.

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Non-Redfieldian C:N:P ratio in the inorganic and organic pools of the Bay of Bengal during the summer monsoon

Cited by 11 publications

References 87 publications

Role of eddies and N2 fixation in regulating C:N:P proportions in the Bay of Bengal

Role of eddies and N2 fixation in regulating C:N:P proportions in the Bay of Bengal

Toward Determining the Spatio-Temporal Variability of Upper-Ocean Ecosystem Stoichiometry From Satellite Remote Sensing

Towards determining the spatio-temporal variability of upper-ocean ecosystem stoichiometry from satellite remote sensing

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